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Shrouder JJ, Calandra GM, Filser S, Varga DP, Besson-Girard S, Mamrak U, Dorok M, Bulut-Impraim B, Seker FB, Gesierich B, Laredo F, Wehn AC, Khalin I, Bayer P, Liesz A, Gokce O, Plesnila N. Continued dysfunction of capillary pericytes promotes no-reflow after experimental stroke in vivo. Brain 2024; 147:1057-1074. [PMID: 38153327 DOI: 10.1093/brain/awad401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 11/15/2023] [Accepted: 11/16/2023] [Indexed: 12/29/2023] Open
Abstract
Incomplete reperfusion of the microvasculature ('no-reflow') after ischaemic stroke damages salvageable brain tissue. Previous ex vivo studies suggest pericytes are vulnerable to ischaemia and may exacerbate no-reflow, but the viability of pericytes and their association with no-reflow remains under-explored in vivo. Using longitudinal in vivo two-photon single-cell imaging over 7 days, we showed that 87% of pericytes constrict during cerebral ischaemia and remain constricted post reperfusion, and 50% of the pericyte population are acutely damaged. Moreover, we revealed ischaemic pericytes to be fundamentally implicated in capillary no-reflow by limiting and arresting blood flow within the first 24 h post stroke. Despite sustaining acute membrane damage, we observed that over half of all cortical pericytes survived ischaemia and responded to vasoactive stimuli, upregulated unique transcriptomic profiles and replicated. Finally, we demonstrated the delayed recovery of capillary diameter by ischaemic pericytes after reperfusion predicted vessel reconstriction in the subacute phase of stroke. Cumulatively, these findings demonstrate that surviving cortical pericytes remain both viable and promising therapeutic targets to counteract no-reflow after ischaemic stroke.
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Affiliation(s)
- Joshua James Shrouder
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Gian Marco Calandra
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
| | - Severin Filser
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- Core Research Facilities and Services-Light Microscope Facility, German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
| | - Daniel Peter Varga
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Simon Besson-Girard
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Uta Mamrak
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
| | - Maximilian Dorok
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
| | - Buket Bulut-Impraim
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Fatma Burcu Seker
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Fabio Laredo
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
| | - Antonia Clarissa Wehn
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- Department of Neurosurgery, LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
| | - Igor Khalin
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- Normandie University, UNICAEN, INSERM UMR-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institute Blood and Brain @ Caen-Normandie (BB@C), 14000 Caen, France
| | - Patrick Bayer
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
| | - Arthur Liesz
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Ozgun Gokce
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Nikolaus Plesnila
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Ludwig-Maximilians-University (LMU) Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
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Rubinski A, Dewenter A, Zheng L, Franzmeier N, Stephenson H, Deming Y, Duering M, Gesierich B, Denecke J, Pham AV, Bendlin B, Ewers M. Florbetapir PET-assessed demyelination is associated with faster tau accumulation in an APOE ε4-dependent manner. Eur J Nucl Med Mol Imaging 2024; 51:1035-1049. [PMID: 38049659 PMCID: PMC10881623 DOI: 10.1007/s00259-023-06530-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 11/14/2023] [Indexed: 12/06/2023]
Abstract
PURPOSE The main objectives were to test whether (1) a decrease in myelin is associated with enhanced rate of fibrillar tau accumulation and cognitive decline in Alzheimer's disease, and (2) whether apolipoprotein E (APOE) ε4 genotype is associated with worse myelin decrease and thus tau accumulation. METHODS To address our objectives, we repurposed florbetapir-PET as a marker of myelin in the white matter (WM) based on previous validation studies showing that beta-amyloid (Aβ) PET tracers bind to WM myelin. We assessed 43 Aβ-biomarker negative (Aβ-) cognitively normal participants and 108 Aβ+ participants within the AD spectrum with florbetapir-PET at baseline and longitudinal flortaucipir-PET as a measure of fibrillar tau (tau-PET) over ~ 2 years. In linear regression analyses, we tested florbetapir-PET in the whole WM and major fiber tracts as predictors of tau-PET accumulation in a priori defined regions of interest (ROIs) and fiber-tract projection areas. In mediation analyses we tested whether tau-PET accumulation mediates the effect of florbetapir-PET in the whole WM on cognition. Finally, we assessed the role of myelin alteration on the association between APOE and tau-PET accumulation. RESULTS Lower florbetapir-PET in the whole WM or at a given fiber tract was predictive of faster tau-PET accumulation in Braak stages or the connected grey matter areas in Aβ+ participants. Faster tau-PET accumulation in higher cortical brain areas mediated the association between a decrease in florbetapir-PET in the WM and a faster rate of decline in global cognition and episodic memory. APOE ε4 genotype was associated with a worse decrease in the whole WM florbetapir-PET and thus enhanced tau-PET accumulation. CONCLUSION Myelin alterations are associated in an APOE ε4 dependent manner with faster tau progression and cognitive decline, and may therefore play a role in the etiology of AD.
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Affiliation(s)
- Anna Rubinski
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Anna Dewenter
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Lukai Zheng
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Henry Stephenson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA
| | - Yuetiva Deming
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University Munich, Munich, Germany
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Benno Gesierich
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Jannis Denecke
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University Munich, Munich, Germany
| | - An-Vi Pham
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University Munich, Munich, Germany
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Barbara Bendlin
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, WI, USA
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University Munich, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
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3
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Vlegels N, Gonzalez-Ortiz F, Knuth NL, Khalifeh N, Gesierich B, Müller F, Müller P, Klein M, Dimitriadis K, Franzmeier N, Liebig T, Duering M, Reidler P, Dichgans M, Karikari TK, Blennow K, Tiedt S. Brain-derived Tau for Monitoring Brain Injury in Acute Ischemic Stroke. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.18.23298728. [PMID: 38014197 PMCID: PMC10680879 DOI: 10.1101/2023.11.18.23298728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
The evolution of infarcts varies widely among patients with acute ischemic stroke (IS) and influences treatment decisions. Neuroimaging is not applicable for frequent monitoring and there is no blood-based biomarker to track ongoing brain injury in acute IS. Here, we examined the utility of plasma brain-derived tau (BD-tau) as a biomarker for brain injury in acute IS. We conducted the prospective, observational Precision Medicine in Stroke [PROMISE] study with serial blood sampling upon hospital admission and at days 2, 3, and 7 in patients with acute ischemic stroke (IS) and for comparison, in patients with stroke mimics (SM). We determined the temporal course of plasma BD-tau, its relation to infarct size and admission imaging-based metrics of brain injury, and its value to predict functional outcome. Upon admission (median time-from-onset, 4.4h), BD-tau levels in IS patients correlated with ASPECTS (ρ=-0.21, P<.0001) and were predictive of final infarct volume (ρ=0.26, P<.0001). In contrast to SM patients, BD-tau levels in IS patients increased from admission (median, 2.9 pg/ml [IQR, 1.8-4.8]) to day 2 (median time-from-onset, 22.7h; median BD-tau, 5.0 pg/ml [IQR, 2.6-10.3]; P<.0001). The rate of change of BD-tau from admission to day 2 was significantly associated with collateral supply (R2=0.10, P<.0001) and infarct progression (ρ=0.58, P<.0001). At day 2, BD-tau was predictive of final infarct volume (ρ=0.59, P<.0001) and showed superior value for predicting the 90-day mRS score compared with final infarct volume. In conclusion, in 502 patients with acute IS, plasma BD-tau was associated with imaging-based metrics of brain injury upon admission, increased within the first 24 hours in correlation with infarct progression, and at 24 hours was superior to final infarct volume in predicting 90-day functional outcome. Further research is needed to determine whether BD-tau assessments can inform decision-making in stroke care.
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Affiliation(s)
- Naomi Vlegels
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Germany
| | - Fernando Gonzalez-Ortiz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Nicoló Luca Knuth
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Germany
| | - Nada Khalifeh
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Germany
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Franziska Müller
- Department of Radiology, LMU University Hospital, LMU Munich, Germany
| | - Philipp Müller
- Department of Radiology, LMU University Hospital, LMU Munich, Germany
| | - Matthias Klein
- Department of Neurology, LMU University Hospital, LMU Munich, Germany
| | | | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Germany
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Thomas Liebig
- Institute of Neuroradiology, LMU University Hospital, LMU Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Germany
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Paul Reidler
- Department of Radiology, LMU University Hospital, LMU Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- German Centre for Cardiovascular Research (DZHK, Munich), Munich, Germany
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Germany
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4
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van den Brink H, Kopczak A, Arts T, Onkenhout L, Siero JCW, Zwanenburg JJM, Hein S, Hübner M, Gesierich B, Duering M, Stringer MS, Hendrikse J, Wardlaw JM, Joutel A, Dichgans M, Biessels GJ. CADASIL Affects Multiple Aspects of Cerebral Small Vessel Function on 7T-MRI. Ann Neurol 2023; 93:29-39. [PMID: 36222455 DOI: 10.1002/ana.26527] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 10/05/2022] [Accepted: 10/07/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Cerebral small vessel diseases (cSVDs) are a major cause of stroke and dementia. We used cutting-edge 7T-MRI techniques in patients with Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL), to establish which aspects of cerebral small vessel function are affected by this monogenic form of cSVD. METHODS We recruited 23 CADASIL patients (age 51.1 ± 10.1 years, 52% women) and 13 age- and sex-matched controls (46.1 ± 12.6, 46% women). Small vessel function measures included: basal ganglia and centrum semiovale perforating artery blood flow velocity and pulsatility, vascular reactivity to a visual stimulus in the occipital cortex and reactivity to hypercapnia in the cortex, subcortical gray matter, white matter, and white matter hyperintensities. RESULTS Compared with controls, CADASIL patients showed lower blood flow velocity and higher pulsatility index within perforating arteries of the centrum semiovale (mean difference - 0.09 cm/s, p = 0.03 and 0.20, p = 0.009) and basal ganglia (mean difference - 0.98 cm/s, p = 0.003 and 0.17, p = 0.06). Small vessel reactivity to a short visual stimulus was decreased (blood-oxygen-level dependent [BOLD] mean difference -0.21%, p = 0.04) in patients, while reactivity to hypercapnia was preserved in the cortex, subcortical gray matter, and normal appearing white matter. Among patients, reactivity to hypercapnia was decreased in white matter hyperintensities compared to normal appearing white matter (BOLD mean difference -0.29%, p = 0.02). INTERPRETATION Multiple aspects of cerebral small vessel function on 7T-MRI were abnormal in CADASIL patients, indicative of increased arteriolar stiffness and regional abnormalities in reactivity, locally also in relation to white matter injury. These observations provide novel markers of cSVD for mechanistic and intervention studies. ANN NEUROL 2023;93:29-39.
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Affiliation(s)
- Hilde van den Brink
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Anna Kopczak
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Tine Arts
- Department of Radiology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Laurien Onkenhout
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeroen C W Siero
- Department of Radiology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.,Spinoza Centre for Neuroimaging Amsterdam, Amsterdam, The Netherlands
| | - Jaco J M Zwanenburg
- Department of Radiology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sandra Hein
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Mathias Hübner
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.,Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.,Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Michael S Stringer
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh, UK
| | - Jeroen Hendrikse
- Department of Radiology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, Edinburgh, UK
| | - Anne Joutel
- Institute of Psychiatry and Neurosciences of Paris, Université de Paris, Inserm U1266, Paris, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Disease (DZNE), Munich, Germany
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
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Dewenter A, Gesierich B, Hager P, Biel D, Ewers M, Franzmeier N, Duering M. Distinct signatures of white matter damage in cerebral small vessel disease and Alzheimer’s disease: a fixel‐based analysis study. Alzheimers Dement 2022. [DOI: 10.1002/alz.067176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
| | - Benno Gesierich
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel Basel Switzerland
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Munich Germany
| | - Paul Hager
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
| | - Davina Biel
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
| | - Marco Duering
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel Basel Switzerland
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Munich Germany
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6
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Dewenter A, Gesierich B, Hager P, Biel D, Ewers M, Franzmeier N, Duering M. Distinct signatures of white matter damage in cerebral small vessel disease and Alzheimer’s disease: a fixel‐based analysis study. Alzheimers Dement 2022. [DOI: 10.1002/alz.060445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Munich Germany
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel Basel Switzerland
| | - Paul Hager
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Munich Germany
| | - Davina Biel
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich Munich Germany
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel Basel Switzerland
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7
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Georgakis MK, Fang R, Düring M, Wollenweber FA, Bode FJ, Stösser S, Kindlein C, Hermann P, Liman TG, Nolte CH, Kerti L, Ikenberg B, Bernkopf K, Poppert H, Glanz W, Perosa V, Janowitz D, Wagner M, Neumann K, Speck O, Dobisch L, Düzel E, Gesierich B, Dewenter A, Spottke A, Waegemann K, Görtler M, Wunderlich S, Endres M, Zerr I, Petzold G, Dichgans M. Cerebral small vessel disease burden and cognitive and functional outcomes after stroke: A multicenter prospective cohort study. Alzheimers Dement 2022; 19:1152-1163. [PMID: 35876563 DOI: 10.1002/alz.12744] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/25/2022] [Accepted: 06/01/2022] [Indexed: 10/16/2022]
Abstract
INTRODUCTION It remains unknown whether the global small vessel disease (SVD) burden predicts post-stroke outcomes. METHODS In a prospective multicenter study of 666 ischemic and hemorrhagic stroke patients, we quantified magnetic resonance imaging (MRI)-based SVD markers (lacunes, white matter hyperintensities, microbleeds, perivascular spaces) and explored associations with 6- and 12-month cognitive (battery of 15 neuropsychological tests) and functional (modified Rankin scale) outcomes. RESULTS A global SVD score (range 0-4) was associated with cognitive impairment; worse performance in executive function, attention, language, and visuospatial ability; and worse functional outcome across a 12-month follow-up. Although the global SVD score did not improve prediction, individual SVD markers, assessed across their severity range, improved the calibration, discrimination, and reclassification of predictive models including demographic, clinical, and other imaging factors. DISCUSSION SVD presence and severity are associated with worse cognitive and functional outcomes 12 months after stroke. Assessing SVD severity may aid prognostication for stroke patients. HIGHLIGHTS In a multi-center cohort, we explored associations of small vessel disease (SVD) burden with stroke outcomes. SVD burden associates with post-stroke cognitive and functional outcomes. A currently used score of SVD burden does not improve the prediction of poor outcomes. Assessing the severity of SVD lesions adds predictive value beyond known predictors. To add predictive value in assessing SVD in stroke patients, SVD burden scores should integrate lesion severity.
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Affiliation(s)
- Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Rong Fang
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Marco Düring
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Frank A Wollenweber
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Felix J Bode
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Sebastian Stösser
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Christine Kindlein
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Peter Hermann
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Thomas G Liman
- Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Christian H Nolte
- Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
| | - Lucia Kerti
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Benno Ikenberg
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Kathleen Bernkopf
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Holger Poppert
- Department of Neurology, Helios Klinikum München West, Munich, Germany
| | - Wenzel Glanz
- Department of Neurology, University Hospital, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Valentina Perosa
- Department of Neurology, University Hospital, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Katja Neumann
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Oliver Speck
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Department of Biomedical Magnetic Resonance, Institute for Physics, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.,Leibniz Institute for Neurobiology, Magdeburg, Germany.,Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Karin Waegemann
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Michael Görtler
- Department of Neurology, University Hospital, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Silke Wunderlich
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Matthias Endres
- Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Centre for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany
| | - Inga Zerr
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Gabor Petzold
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
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8
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Dewenter A, Jacob MA, Cai M, Gesierich B, Hager P, Kopczak A, Biel D, Ewers M, Tuladhar AM, de Leeuw FE, Dichgans M, Franzmeier N, Duering M. Disentangling the effects of Alzheimer's and small vessel disease on white matter fibre tracts. Brain 2022; 146:678-689. [PMID: 35859352 PMCID: PMC9924910 DOI: 10.1093/brain/awac265] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/30/2022] [Accepted: 06/25/2022] [Indexed: 12/27/2022] Open
Abstract
Alzheimer's disease and cerebral small vessel disease are the two leading causes of cognitive decline and dementia and coexist in most memory clinic patients. White matter damage as assessed by diffusion MRI is a key feature in both Alzheimer's and cerebral small vessel disease. However, disease-specific biomarkers of white matter alterations are missing. Recent advances in diffusion MRI operating on the fixel level (fibre population within a voxel) promise to advance our understanding of disease-related white matter alterations. Fixel-based analysis allows derivation of measures of both white matter microstructure, measured by fibre density, and macrostructure, measured by fibre-bundle cross-section. Here, we evaluated the capacity of these state-of-the-art fixel metrics to disentangle the effects of cerebral small vessel disease and Alzheimer's disease on white matter integrity. We included three independent samples (total n = 387) covering genetically defined cerebral small vessel disease and age-matched controls, the full spectrum of biomarker-confirmed Alzheimer's disease including amyloid- and tau-PET negative controls and a validation sample with presumed mixed pathology. In this cross-sectional analysis, we performed group comparisons between patients and controls and assessed associations between fixel metrics within main white matter tracts and imaging hallmarks of cerebral small vessel disease (white matter hyperintensity volume, lacune and cerebral microbleed count) and Alzheimer's disease (amyloid- and tau-PET), age and a measure of neurodegeneration (brain volume). Our results showed that (i) fibre density was reduced in genetically defined cerebral small vessel disease and strongly associated with cerebral small vessel disease imaging hallmarks; (ii) fibre-bundle cross-section was mainly associated with brain volume; and (iii) both fibre density and fibre-bundle cross-section were reduced in the presence of amyloid, but not further exacerbated by abnormal tau deposition. Fixel metrics were only weakly associated with amyloid- and tau-PET. Taken together, our results in three independent samples suggest that fibre density captures the effect of cerebral small vessel disease, while fibre-bundle cross-section is largely determined by neurodegeneration. The ability of fixel-based imaging markers to capture distinct effects on white matter integrity can propel future applications in the context of precision medicine.
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Affiliation(s)
- Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Mina A Jacob
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mengfei Cai
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Paul Hager
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- Institute for AI and Informatics in Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Anna Kopczak
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Davina Biel
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- German Center for Neurodegenerative Disease (DZNE), Munich, Germany
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- German Center for Neurodegenerative Disease (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Marco Duering
- Correspondence to: Marco Duering Medical Image Analysis Center (MIAC AG) Marktgasse 8 CH-4051 Basel Switzerland E-mail:
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9
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Dewenter A, Gesierich B, Ter Telgte A, Wiegertjes K, Cai M, Jacob MA, Marques JP, Norris DG, Franzmeier N, de Leeuw FE, Tuladhar AM, Duering M. Systematic validation of structural brain networks in cerebral small vessel disease. J Cereb Blood Flow Metab 2022; 42:1020-1032. [PMID: 34929104 PMCID: PMC9125482 DOI: 10.1177/0271678x211069228] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Cerebral small vessel disease (SVD) is considered a disconnection syndrome, which can be quantified using structural brain network analysis obtained from diffusion MRI. Network analysis is a demanding analysis approach and the added benefit over simpler diffusion MRI analysis is largely unexplored in SVD. In this pre-registered study, we assessed the clinical and technical validity of network analysis in two non-overlapping samples of SVD patients from the RUN DMC study (n = 52 for exploration and longitudinal analysis and n = 105 for validation). We compared two connectome pipelines utilizing single-shell or multi-shell diffusion MRI, while also systematically comparing different node and edge definitions. For clinical validation, we assessed the added benefit of network analysis in explaining processing speed and in detecting short-term disease progression. For technical validation, we determined test-retest repeatability.Our findings in clinical validation show that structural brain networks provide only a small added benefit over simpler global white matter diffusion metrics and do not capture short-term disease progression. Test-retest reliability was excellent for most brain networks. Our findings question the added value of brain network analysis in clinical applications in SVD and highlight the utility of simpler diffusion MRI based markers.
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Affiliation(s)
- Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Annemieke Ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,VASCage - Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mengfei Cai
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mina A Jacob
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - José P Marques
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
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10
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Berger M, Pirpamer L, Hofer E, Ropele S, Duering M, Gesierich B, Pasternak O, Enzinger C, Schmidt R, Koini M. Free water diffusion MRI and executive function with a speed component in healthy aging. Neuroimage 2022; 257:119303. [PMID: 35568345 PMCID: PMC9465649 DOI: 10.1016/j.neuroimage.2022.119303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 05/06/2022] [Accepted: 05/09/2022] [Indexed: 11/12/2022] Open
Abstract
Extracellular free water (FW) increases are suggested to better provide pathophysiological information in brain aging than conventional biomarkers such as fractional anisotropy. The aim of the present study was to determine the relationship between conventional biomarkers, FW in white matter hyperintensities (WMH), FW in normal appearing white matter (NAWM) and in white matter tracts and executive functions (EF) with a speed component in elderly persons. We examined 226 healthy elderly participants (median age 69.83 years, IQR: 56.99–74.42) who underwent brain MRI and neuropsychological examination. FW in WMH and in NAWM as well as FW corrected diffusion metrics and measures derived from conventional MRI (white matter hyperintensities, brain volume, lacunes) were used in partial correlation (adjusted for age) to assess their correlation with EF with a speed component. Random forest analysis was used to assess the relative importance of these variables as determinants. Lastly, linear regression analyses of FW in white matter tracts corrected for risk factors of cognitive and white matter deterioration, were used to examine the role of specific tracts on EF with a speed component, which were then ranked with random forest regression. Partial correlation analyses revealed that almost all imaging metrics showed a significant association with EF with a speed component (r = −0.213 – 0.266). Random forest regression highlighted FW in WMH and in NAWM as most important among all diffusion and structural MRI metrics. The fornix (R2=0.421, p = 0.018) and the corpus callosum (genu (R2 = 0.418, p = 0.021), prefrontal (R2 = 0.416, p = 0.026), premotor (R2 = 0.418, p = 0.021)) were associated with EF with a speed component in tract based regression analyses and had highest variables importance. In a normal aging population FW in WMH and NAWM is more closely related to EF with a speed component than standard DTI and brain structural measures. Higher amounts of FW in the fornix and the frontal part of the corpus callosum leads to deteriorating EF with a speed component.
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Affiliation(s)
- Martin Berger
- Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria
| | - Lukas Pirpamer
- Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria
| | - Edith Hofer
- Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria
| | - Marco Duering
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Reinhold Schmidt
- Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria.
| | - Marisa Koini
- Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria
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11
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Seker FB, Fan Z, Gesierich B, Gaubert M, Sienel RI, Plesnila N. Neurovascular Reactivity in the Aging Mouse Brain Assessed by Laser Speckle Contrast Imaging and 2-Photon Microscopy: Quantification by an Investigator-Independent Analysis Tool. Front Neurol 2021; 12:745770. [PMID: 34858312 PMCID: PMC8631776 DOI: 10.3389/fneur.2021.745770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/08/2021] [Indexed: 11/13/2022] Open
Abstract
The brain has a high energy demand but little to no energy stores. Therefore, proper brain function relies on the delivery of glucose and oxygen by the cerebral vasculature. The regulation of cerebral blood flow (CBF) occurs at the level of the cerebral capillaries and is driven by a fast and efficient crosstalk between neurons and vessels, a process termed neurovascular coupling (NVC). Experimentally NVC is mainly triggered by sensory stimulation and assessed by measuring either CBF by laser Doppler fluxmetry, laser speckle contrast imaging (LSCI), intrinsic optical imaging, BOLD fMRI, near infrared spectroscopy (NIRS) or functional ultrasound imaging (fUS). Since these techniques have relatively low spatial resolution, diameters of cerebral vessels are mainly assessed by 2-photon microscopy (2-PM). Results of studies on NVC rely on stable animal physiology, high-quality data acquisition, and unbiased data analysis, criteria, which are not easy to achieve. In the current study, we assessed NVC using two different imaging modalities, i.e., LSCI and 2-PM, and analyzed our data using an investigator-independent Matlab-based analysis tool, after manually defining the area of analysis in LSCI and vessels to measure in 2-PM. By investigating NVC in 6–8 weeks, 1-, and 2-year-old mice, we found that NVC was maximal in 1-year old mice and was significantly reduced in aged mice. These findings suggest that NVC is differently affected during the aging process. Most interestingly, specifically pial arterioles, seem to be distinctly affected by the aging. The main finding of our study is that the automated analysis tool works very efficiently in terms of time and accuracy. In fact, the tool reduces the analysis time of one animal from approximately 23 h to about 2 s while basically making no mistakes. In summary, we developed an experimental workflow, which allows us to reliably measure NVC with high spatial and temporal resolution in young and aged mice and to analyze these data in an investigator-independent manner.
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Affiliation(s)
- Fatma Burcu Seker
- Institute for Stroke and Dementia Research, Munich University Hospital and University of Munich, Munich, Germany
| | - Ziyu Fan
- Institute for Stroke and Dementia Research, Munich University Hospital and University of Munich, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, Munich University Hospital and University of Munich, Munich, Germany
| | - Malo Gaubert
- Institute for Stroke and Dementia Research, Munich University Hospital and University of Munich, Munich, Germany
| | - Rebecca Isabella Sienel
- Institute for Stroke and Dementia Research, Munich University Hospital and University of Munich, Munich, Germany
| | - Nikolaus Plesnila
- Institute for Stroke and Dementia Research, Munich University Hospital and University of Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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12
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Wiegertjes K, Chan KS, Telgte AT, Gesierich B, Norris DG, Klijn CJ, Duering M, Tuladhar AM, Marques JP, Leeuw FED. Assessing cortical cerebral microinfarcts on iron-sensitive MRI in cerebral small vessel disease. J Cereb Blood Flow Metab 2021; 41:3391-3399. [PMID: 34415209 PMCID: PMC8669205 DOI: 10.1177/0271678x211039609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Recent studies suggest that a subset of cortical microinfarcts may be identifiable on T2* but invisible on T1 and T2 follow-up images. We aimed to investigate whether cortical microinfarcts are associated with iron accumulation after the acute stage. The RUN DMC - InTENse study is a serial MRI study including individuals with cerebral small vessel disease (SVD). 54 Participants underwent 10 monthly 3 T MRIs, including diffusion-weighted imaging, quantitative R1 (=1/T1), R2 (=1/T2), and R2* (=1/T2*) mapping, from which MRI parameters within areas corresponding to microinfarcts and control region of interests (ROIs) were retrieved within 16 participants. Finally, we compared pre- and post-lesional values with repeated measures ANOVA and post-hoc paired t-tests using the mean difference between lesion and control ROI values. We observed 21 acute cortical microinfarcts in 7 of the 54 participants (median age 69 years [IQR 66-74], 63% male). R2* maps demonstrated an increase in R2* values at the moment of the last available follow-up MRI (median [IQR], 5 [5-14] weeks after infarction) relative to prelesional values (p = .08), indicative of iron accumulation. Our data suggest that cortical microinfarcts are associated with increased R2* values, indicative of iron accumulation, possibly due to microhemorrhages, neuroinflammation or neurodegeneration, awaiting histopathological verification.
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Affiliation(s)
- Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kwok-Shing Chan
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Annemieke Ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Munich, Germany
| | - David G Norris
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands.,Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany.,MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
| | - Catharina Jm Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Munich, Germany.,Medical Image Analysis Center (MIAC AG), Basel and qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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13
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Malik R, Beaufort N, Frerich S, Gesierich B, Georgakis MK, Rannikmäe K, Ferguson AC, Haffner C, Traylor M, Ehrmann M, Sudlow CLM, Dichgans M. Whole-exome sequencing reveals a role of HTRA1 and EGFL8 in brain white matter hyperintensities. Brain 2021; 144:2670-2682. [PMID: 34626176 PMCID: PMC8557338 DOI: 10.1093/brain/awab253] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/01/2021] [Accepted: 06/19/2021] [Indexed: 11/13/2022] Open
Abstract
White matter hyperintensities (WMH) are among the most common radiological abnormalities in the ageing population and an established risk factor for stroke and dementia. While common variant association studies have revealed multiple genetic loci with an influence on their volume, the contribution of rare variants to the WMH burden in the general population remains largely unexplored. We conducted a comprehensive analysis of this burden in the UK Biobank using publicly available whole-exome sequencing data (n up to 17 830) and found a splice-site variant in GBE1, encoding 1,4-alpha-glucan branching enzyme 1, to be associated with lower white matter burden on an exome-wide level [c.691+2T>C, β = -0.74, standard error (SE) = 0.13, P = 9.7 × 10-9]. Applying whole-exome gene-based burden tests, we found damaging missense and loss-of-function variants in HTRA1 (frequency of 1 in 275 in the UK Biobank population) to associate with an increased WMH volume (P = 5.5 × 10-6, false discovery rate = 0.04). HTRA1 encodes a secreted serine protease implicated in familial forms of small vessel disease. Domain-specific burden tests revealed that the association with WMH volume was restricted to rare variants in the protease domain (amino acids 204-364; β = 0.79, SE = 0.14, P = 9.4 × 10-8). The frequency of such variants in the UK Biobank population was 1 in 450. The WMH volume was brought forward by ∼11 years in carriers of a rare protease domain variant. A comparison with the effect size of established risk factors for WMH burden revealed that the presence of a rare variant in the HTRA1 protease domain corresponded to a larger effect than meeting the criteria for hypertension (β = 0.26, SE = 0.02, P = 2.9 × 10-59) or being in the upper 99.8% percentile of the distribution of a polygenic risk score based on common genetic variants (β = 0.44, SE = 0.14, P = 0.002). In biochemical experiments, most (6/9) of the identified protease domain variants resulted in markedly reduced protease activity. We further found EGFL8, which showed suggestive evidence for association with WMH volume (P = 1.5 × 10-4, false discovery rate = 0.22) in gene burden tests, to be a direct substrate of HTRA1 and to be preferentially expressed in cerebral arterioles and arteries. In a phenome-wide association study mapping ICD-10 diagnoses to 741 standardized Phecodes, rare variants in the HTRA1 protease domain were associated with multiple neurological and non-neurological conditions including migraine with aura (odds ratio = 12.24, 95%CI: 2.54-35.25; P = 8.3 × 10-5]. Collectively, these findings highlight an important role of rare genetic variation and the HTRA1 protease in determining WMH burden in the general population.
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Affiliation(s)
- Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Nathalie Beaufort
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Simon Frerich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Kristiina Rannikmäe
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK
| | - Amy C Ferguson
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK
| | - Christof Haffner
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Matthew Traylor
- Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
- The Barts Heart Centre and NIHR Barts Biomedical Research Centre - Barts Health NHS Trust, The William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Michael Ehrmann
- Center of Medical Biotechnology, Faculty of Biology, University Duisburg-Essen, Essen 45141, Germany
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK
| | - Cathie L M Sudlow
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh EH16 4TL, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4TL, UK
- Health Data Research UK Scotland, University of Edinburgh, Edinburgh EH16 4TL, UK
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology, Munich 81377, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich 81377, Germany
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14
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Traylor M, Malik R, Gesierich B, Dichgans M. The BS variant of C4 protects against age-related loss of white matter microstructural integrity. Brain 2021; 145:295-304. [PMID: 34358307 DOI: 10.1093/brain/awab261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/12/2021] [Accepted: 06/14/2021] [Indexed: 11/13/2022] Open
Abstract
Age-related loss of white matter microstructural integrity is a major determinant of cognitive decline, dementia, and gait disorders. However, the mechanisms and molecular pathways that contribute to this loss of integrity remain elusive. We performed a GWAS of white matter microstructural integrity as quantified by diffusion MRI metrics (mean diffusivity, MD; and fractional anisotropy, FA) in up to 31,128 individuals from UK Biobank (age 45-81 years) based on a 2 degrees of freedom (2df) test of single nucleotide polymorphism (SNP) and SNP x age effects. We identified 18 loci that were associated at genome-wide significance with either MD (N = 16) or FA (N = 6). Among the top loci was a region on chromosome 6 encoding the human major histocompatibility complex (MHC). Variants in the MHC region were strongly associated with both MD (best SNP: 6:28866209_TTTTG_T, beta(SE)=-0.069(0.009); 2df p = 6.5x10-15) and FA (best SNP: rs3129787, beta(SE)=-0.056(0.008); 2df p = 3.5x10-12). Of the imputed HLA alleles and complement component 4 (C4) structural haplotype variants in the human MHC, the strongest association was with the C4-BS variant (for MD: beta(SE)=-0.070(0.010); p = 2.7x10-11; for FA: beta(SE)=-0.054(0.011); p = 1.6x10-7). After conditioning on C4-BS no associations with HLA alleles remained significant. The protective influence of C4-BS was stronger in older subjects (age ≥ 65; interaction p = 0.0019 (MD), p = 0.015 (FA)) and in subjects without a history of smoking (interaction p = 0.00093 (MD), p = 0.021 (FA)). Taken together, our findings demonstrate a role of the complement system and of gene-environment interactions in age-related loss of white matter microstructural integrity.
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Affiliation(s)
- Matthew Traylor
- Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, London, UK.,The Barts Heart Centre and NIHR Barts Biomedical Research Centre-Barts Health NHS Trust, The William Harvey Research Institute, Queen Mary University London, London, UK
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,German Centre for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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15
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Ter Telgte A, Wiegertjes K, Gesierich B, Baskaran BS, Marques JP, Kuijf HJ, Norris DG, Tuladhar AM, Duering M, de Leeuw FE. Temporal Dynamics of Cortical Microinfarcts in Cerebral Small Vessel Disease. JAMA Neurol 2021; 77:643-647. [PMID: 32065609 DOI: 10.1001/jamaneurol.2019.5106] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Importance Neuropathology studies show a high prevalence of cortical microinfarcts (CMIs) in aging individuals, especially in patients with cerebrovascular disease and dementia. However, most, are invisible on T1- and T2-weighted magnetic resonance imaging (MRI), raising the question of how to explain this mismatch. Studies on small acute infarcts, detected on diffusion-weighted imaging (DWI), suggest that infarcts are largest in their acute phase and reduce in size thereafter. Therefore, we hypothesized that a subset of the CMI that are invisible on MRI can be detected on MRI in their acute phase. However, to our knowledge, a serial imaging study investigating the temporal dynamics of acute CMI (A-CMI) is lacking. Objective To determine the prevalence of chronic CMI (C-CMI) and the cumulative incidence and temporal dynamics of A-CMI in individuals with cerebral small vessel disease (SVD). Design, Setting, Participants and Exposures The RUN DMC-Intense study is a single-center hospital-based prospective cohort study on SVD performed between March 2016 and November 2017 and comprising 10 monthly 3-T MRI scans, including high-resolution DWI, 3-dimensional T1, 3-dimensional fluid-attenuated inversion recovery, and T2. One hundred six individuals from the previous longitudinal RUN DMC study were recruited based on the presence of progression of white matter hyperintensities on MRI between 2006 and 2015 and exclusion of causes of cerebral ischemia other than SVD. Fifty-four individuals (50.9%) participated. The median total follow-up duration was 39.5 weeks (interquartile range, 37.8-40.3). Statistical data analysis was performed between May and October 2019. Main Outcomes and Measures We determined the prevalence of C-CMI using the baseline T1, fluid-attenuated inversion recovery, and T2 scans. Monthly high-resolution DWI scans (n = 472) were screened to determine the cumulative incidence of A-CMI. The temporal dynamics of A-CMI were determined based on the MRI scans collected during the first follow-up visit after A-CMI onset and the last available follow-up visit. Results The median age of the cohort at baseline MRI was 69 years (interquartile range, 66-74 years) and 34 participants (63%) were men. The prevalence of C-CMI was 35% (95% CI, 0.24-0.49). Monthly DWI detected 21 A-CMI in 7 of 54 participants, resulting in a cumulative incidence of 13% (95% CI, 0.06-0.24). All A-CMI disappeared on follow-up MRI. Conclusions and Relevance Acute CMI never evolved into chronically MRI-detectable lesions. We suggest that these A-CMI underlie part of the submillimeter C-CMI encountered on neuropathological examination and thereby provide a source for the high CMI burden on neuropathology.
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Affiliation(s)
- Annemieke Ter Telgte
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kim Wiegertjes
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Munich, Germany
| | - Brendon Sri Baskaran
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Anil M Tuladhar
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marco Duering
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands.,Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Frank-Erik de Leeuw
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
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16
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Konieczny MJ, Dewenter A, Ter Telgte A, Gesierich B, Wiegertjes K, Finsterwalder S, Kopczak A, Hübner M, Malik R, Tuladhar AM, Marques JP, Norris DG, Koch A, Dietrich O, Ewers M, Schmidt R, de Leeuw FE, Duering M. Multi-shell Diffusion MRI Models for White Matter Characterization in Cerebral Small Vessel Disease. Neurology 2020; 96:e698-e708. [PMID: 33199431 DOI: 10.1212/wnl.0000000000011213] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 09/21/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that multi-shell diffusion models improve the characterization of microstructural alterations in cerebral small vessel disease (SVD), we assessed associations with processing speed performance, longitudinal change, and reproducibility of diffusion metrics. METHODS We included 50 patients with sporadic and 59 patients with genetically defined SVD (cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy [CADASIL]) with cognitive testing and standardized 3T MRI, including multi-shell diffusion imaging. We applied the simple diffusion tensor imaging (DTI) model and 2 advanced models: diffusion kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI). Linear regression and multivariable random forest regression (including conventional SVD markers) were used to determine associations between diffusion metrics and processing speed performance. The detection of short-term disease progression was assessed by linear mixed models in 49 patients with sporadic SVD with longitudinal high-frequency imaging (in total 459 MRIs). Intersite reproducibility was determined in 10 patients with CADASIL scanned back-to-back on 2 different 3T MRI scanners. RESULTS Metrics from DKI showed the strongest associations with processing speed performance (R 2 up to 21%) and the largest added benefit on top of conventional SVD imaging markers in patients with sporadic SVD and patients with CADASIL with lower SVD burden. Several metrics from DTI and DKI performed similarly in detecting disease progression. Reproducibility was excellent (intraclass correlation coefficient >0.93) for DTI and DKI metrics. NODDI metrics were less reproducible. CONCLUSION Multi-shell diffusion imaging and DKI improve the detection and characterization of cognitively relevant microstructural white matter alterations in SVD. Excellent reproducibility of diffusion metrics endorses their use as SVD markers in research and clinical care. Our publicly available intersite dataset facilitates future studies. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that in patients with SVD, diffusion MRI metrics are associated with processing speed performance.
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Affiliation(s)
- Marek J Konieczny
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Anna Dewenter
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Annemieke Ter Telgte
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Benno Gesierich
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Kim Wiegertjes
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Sofia Finsterwalder
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Anna Kopczak
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Mathias Hübner
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Rainer Malik
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Anil M Tuladhar
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - José P Marques
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - David G Norris
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Alexandra Koch
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Olaf Dietrich
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Michael Ewers
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Reinhold Schmidt
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Frank-Erik de Leeuw
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany
| | - Marco Duering
- From the Institute for Stroke and Dementia Research (ISD) (M.J.K., A.D., B.G., S.F., A. Kopczak, M.H., R.M., M.E., M.D.) and the Department of Radiology (O.D.), University Hospital, LMU Munich, Germany; Department of Neurology (A.t.T., K.W., A.M.T., F.-E.d.L., M.D.) and Radboud University (J.P.M., D.G.N.), Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands;Population Health Sciences (A.K.), German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany;Department of Neurology (R.S.), Medical University of Graz, Austria; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Germany.
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17
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Finsterwalder S, Vlegels N, Gesierich B, Caballero MÁA, Weaver NA, Franzmeier N, Georgakis MK, Konieczny MJ, Koek HL, Karch CM, Graff-Radford NR, Salloway S, Oh H, Allegri RF, Chhatwal JP, Jessen F, Düzel E, Dobisch L, Metzger C, Peters O, Incesoy EI, Priller J, Spruth EJ, Schneider A, Fließbach K, Buerger K, Janowitz D, Teipel SJ, Kilimann I, Laske C, Buchmann M, Heneka MT, Brosseron F, Spottke A, Roy N, Ertl-Wagner B, Scheffler K, Seo SW, Kim Y, Na DL, Kim HJ, Jang H, Ewers M, Levin J, Schmidt R, Pasternak O, Dichgans M, Biessels GJ, Duering M. Small vessel disease more than Alzheimer's disease determines diffusion MRI alterations in memory clinic patients. Alzheimers Dement 2020; 16:1504-1514. [PMID: 32808747 PMCID: PMC8102202 DOI: 10.1002/alz.12150] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 06/25/2020] [Accepted: 06/25/2020] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Microstructural alterations as assessed by diffusion tensor imaging (DTI) are key findings in both Alzheimer's disease (AD) and small vessel disease (SVD). We determined the contribution of each of these conditions to diffusion alterations. METHODS We studied six samples (N = 365 participants) covering the spectrum of AD and SVD, including genetically defined samples. We calculated diffusion measures from DTI and free water imaging. Simple linear, multivariable random forest, and voxel-based regressions were used to evaluate associations between AD biomarkers (amyloid beta, tau), SVD imaging markers, and diffusion measures. RESULTS SVD markers were strongly associated with diffusion measures and showed a higher contribution than AD biomarkers in multivariable analysis across all memory clinic samples. Voxel-wise analyses between tau and diffusion measures were not significant. DISCUSSION In memory clinic patients, the effect of SVD on diffusion alterations largely exceeds the effect of AD, supporting the value of diffusion measures as markers of SVD.
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Affiliation(s)
- Sofia Finsterwalder
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Naomi Vlegels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Miguel Á. Araque Caballero
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Nick A. Weaver
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Marios K. Georgakis
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Marek J. Konieczny
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Huiberdina L. Koek
- Department of Geriatrics, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Celeste M. Karch
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | | | | | - Hwamee Oh
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Ricardo F. Allegri
- Department of Cognitive Neurology, FLENI Institute for Neurological Research, Buenos Aires, Argentina
| | | | | | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Coraline Metzger
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Enise I. Incesoy
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Eike J. Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Klaus Fließbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Stefan J. Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Martina Buchmann
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Michael T. Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Birgit Ertl-Wagner
- Institute of Clinical Radiology, University Hospital, LMU Munich, Munich, Germany
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | | | | | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea
- Center for Imaging of Neurodegenerative Diseases, University of California, San Francisco
- Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea
| | - Yeshin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine Chuncheon, Republic of Korea
| | - Duk L. Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ofer Pasternak
- Department of Psychiatry and Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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18
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Damulina A, Pirpamer L, Soellradl M, Sackl M, Tinauer C, Hofer E, Enzinger C, Gesierich B, Duering M, Ropele S, Schmidt R, Langkammer C. Cross-sectional and Longitudinal Assessment of Brain Iron Level in Alzheimer Disease Using 3-T MRI. Radiology 2020; 296:619-626. [PMID: 32602825 DOI: 10.1148/radiol.2020192541] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Background Deep gray matter structures in patients with Alzheimer disease (AD) contain higher brain iron concentrations. However, few studies have included neocortical areas, which are challenging to assess with MRI. Purpose To investigate baseline and change in brain iron levels using MRI at 3 T with R2* relaxation rate mapping in individuals with AD compared with healthy control (HC) participants. Materials and Methods In this prospective study, participants with AD recruited between 2010 and 2016 and age-matched HC participants selected from 2010 to 2014 were evaluated. Of 100 participants with AD, 56 underwent subsequent neuropsychological testing and brain MRI at a mean follow-up of 17 months. All participants underwent 3-T MRI, including R2* mapping corrected for macroscopic B0 field inhomogeneities. Anatomic structures were segmented, and median R2* values were calculated in the neocortex and cortical lobes, basal ganglia (BG), hippocampi, and thalami. Multivariable linear regression analysis was applied to study the difference in R2* levels between groups and the association between longitudinal changes in R2* values and cognition in the AD group. Results A total of 100 participants with AD (mean age, 73 years ± 9 [standard deviation]; 58 women) and 100 age-matched HC participants (mean age, 73 years ± 9; 60 women) were evaluated. Median R2* levels were higher in the AD group than in the HC group in the BG (HC, 29.0 sec-1; AD, 30.2 sec-1; P = .01) and total neocortex (HC, 17.0 sec-1; AD, 17.4 sec-1; P < .001) and regionally in the occipital (HC, 19.6 sec-1; AD, 20.2 sec-1; P = .007) and temporal (HC, 16.4 sec-1; AD, 18.1 sec-1; P < .001) lobes. R2* values in the temporal lobe were associated with longitudinal changes in Consortium to Establish a Registry for Alzheimer's Disease total score (β = -3.23 score/sec-1, P = .003) in participants with AD independent of longitudinal changes in brain volume. Conclusion Iron concentration in the deep gray matter and neocortical regions was higher in patients with Alzheimer disease than in healthy control participants. Change in iron levels over time in the temporal lobe was associated with cognitive decline in individuals with Alzheimer disease. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Anna Damulina
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Lukas Pirpamer
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Martin Soellradl
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Maximilian Sackl
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Christian Tinauer
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Edith Hofer
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Christian Enzinger
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Benno Gesierich
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Marco Duering
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Stefan Ropele
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Reinhold Schmidt
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
| | - Christian Langkammer
- From the Department of Neurology (A.D., L.P., M. Soellradl, M. Sackl, C.T., E.H., C.E., S.R., R.S., C.L.), Institute for Medical Informatics, Statistics and Documentation (E.H.), and Division of Neuroradiology, Vascular, and Interventional Radiology, Department of Radiology (C.E.), Medical University of Graz, Graz, Auenbruggerplatz 22, 8036 Graz, Austria; and Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany (B.G., M.D.)
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19
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Duering M, Adam R, Wollenweber FA, Bayer-Karpinska A, Baykara E, Cubillos-Pinilla LY, Gesierich B, Araque Caballero MÁ, Stoecklein S, Ewers M, Pasternak O, Dichgans M. Within-lesion heterogeneity of subcortical DWI lesion evolution, and stroke outcome: A voxel-based analysis. J Cereb Blood Flow Metab 2020; 40:1482-1491. [PMID: 31342832 PMCID: PMC7308518 DOI: 10.1177/0271678x19865916] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 06/27/2019] [Accepted: 06/28/2019] [Indexed: 11/17/2022]
Abstract
The fate of subcortical diffusion-weighted imaging (DWI) lesions in stroke patients is highly variable, ranging from complete tissue loss to no visible lesion on follow-up. Little is known about within-lesion heterogeneity and its relevance for stroke outcome. Patients with subcortical stroke and recruited through the prospective DEDEMAS study (NCT01334749) were examined at baseline (n = 45), six months (n = 45), and three years (n = 28) post-stroke. We performed high-resolution structural MRI including DWI. Tissue fate was determined voxel-wise using fully automated tissue segmentation. Within-lesion heterogeneity at baseline was assessed by free water diffusion imaging measures. The majority of DWI lesions (66%) showed cavitation on six months follow-up but the proportion of tissue turning into a cavity was small (9 ± 13.5% of the DWI lesion). On average, 69 ± 25% of the initial lesion resolved without any visually apparent signal abnormality. The extent of cavitation at six months post-stroke was independently associated with clinical outcome, i.e. modified Rankin scale score at six months (OR = 4.71, p = 0.005). DWI lesion size and the free water-corrected tissue mean diffusivity at baseline independently predicted cavitation. In conclusion, the proportion of cavitating tissue is typically small, but relevant for clinical outcome. Within-lesion heterogeneity at baseline on advanced diffusion imaging is predictive of tissue fate.
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Affiliation(s)
- Marco Duering
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
| | - Ruth Adam
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
| | - Frank A Wollenweber
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
| | - Anna Bayer-Karpinska
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
| | - Ebru Baykara
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
| | - Leidy Y Cubillos-Pinilla
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
| | | | - Sophia Stoecklein
- Department of Radiology, University Hospital,
LMU Munich, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology,
Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research
(ISD), University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology
(SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases
(DZNE), Munich, Germany
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20
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Gesierich B, Tuladhar AM, ter Telgte A, Wiegertjes K, Konieczny MJ, Finsterwalder S, Hübner M, Pirpamer L, Koini M, Abdulkadir A, Franzmeier N, Norris DG, Marques JP, zu Eulenburg P, Ewers M, Schmidt R, de Leeuw F, Duering M. Alterations and test-retest reliability of functional connectivity network measures in cerebral small vessel disease. Hum Brain Mapp 2020; 41:2629-2641. [PMID: 32087047 PMCID: PMC7294060 DOI: 10.1002/hbm.24967] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/30/2020] [Accepted: 02/13/2020] [Indexed: 12/19/2022] Open
Abstract
While structural network analysis consolidated the hypothesis of cerebral small vessel disease (SVD) being a disconnection syndrome, little is known about functional changes on the level of brain networks. In patients with genetically defined SVD (CADASIL, n = 41) and sporadic SVD (n = 46), we independently tested the hypothesis that functional networks change with SVD burden and mediate the effect of disease burden on cognitive performance, in particular slowing of processing speed. We further determined test-retest reliability of functional network measures in sporadic SVD patients participating in a high-frequency (monthly) serial imaging study (RUN DMC-InTENse, median: 8 MRIs per participant). Functional networks for the whole brain and major subsystems (i.e., default mode network, DMN; fronto-parietal task control network, FPCN; visual network, VN; hand somatosensory-motor network, HSMN) were constructed based on resting-state multi-band functional MRI. In CADASIL, global efficiency (a graph metric capturing network integration) of the DMN was lower in patients with high disease burden (standardized beta = -.44; p [corrected] = .035) and mediated the negative effect of disease burden on processing speed (indirect path: std. beta = -.20, p = .047; direct path: std. beta = -.19, p = .25; total effect: std. beta = -.39, p = .02). The corresponding analyses in sporadic SVD showed no effect. Intraclass correlations in the high-frequency serial MRI dataset of the sporadic SVD patients revealed poor test-retest reliability and analysis of individual variability suggested an influence of age, but not disease burden, on global efficiency. In conclusion, our results suggest that changes in functional connectivity networks mediate the effect of SVD-related brain damage on cognitive deficits. However, limited reliability of functional network measures, possibly due to age-related comorbidities, impedes the analysis in elderly SVD patients.
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Affiliation(s)
- Benno Gesierich
- Institute for Stroke and Dementia Research (ISD)University HospitalMunichGermany
| | - Anil Man Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Annemieke ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Marek J. Konieczny
- Institute for Stroke and Dementia Research (ISD)University HospitalMunichGermany
| | - Sofia Finsterwalder
- Institute for Stroke and Dementia Research (ISD)University HospitalMunichGermany
| | - Mathias Hübner
- Institute for Stroke and Dementia Research (ISD)University HospitalMunichGermany
| | - Lukas Pirpamer
- Department of NeurologyMedical University of GrazGrazAustria
| | - Marisa Koini
- Department of NeurologyMedical University of GrazGrazAustria
| | - Ahmed Abdulkadir
- University Hospital of Old Age Psychiatry, Universitäre Psychiatrische Dienste (UPD) BernUniversity of BernBernSwitzerland
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD)University HospitalMunichGermany
| | - David G. Norris
- Donders Institute for Brain, Cognition, and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - José P. Marques
- Donders Institute for Brain, Cognition, and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - Peter zu Eulenburg
- German Center for Vertigo and Balance DisordersUniversity HospitalMunichGermany
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD)University HospitalMunichGermany
| | | | - Frank‐Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD)University HospitalMunichGermany
- Department of Neurology, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
- Munich Cluster for Systems Neurology (SyNergy)MunichGermany
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21
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Zhao S, Todorov MI, Cai R, -Maskari RA, Steinke H, Kemter E, Mai H, Rong Z, Warmer M, Stanic K, Schoppe O, Paetzold JC, Gesierich B, Wong MN, Huber TB, Duering M, Bruns OT, Menze B, Lipfert J, Puelles VG, Wolf E, Bechmann I, Ertürk A. Cellular and Molecular Probing of Intact Human Organs. Cell 2020; 180:796-812.e19. [PMID: 32059778 PMCID: PMC7557154 DOI: 10.1016/j.cell.2020.01.030] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 12/04/2019] [Accepted: 01/22/2020] [Indexed: 12/16/2022]
Abstract
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues in 3D. Adult human organs are particularly challenging to render transparent because of the accumulation of dense and sturdy molecules in decades-aged tissues. To overcome these challenges, we developed SHANEL, a method based on a new tissue permeabilization approach to clear and label stiff human organs. We used SHANEL to render the intact adult human brain and kidney transparent and perform 3D histology with antibodies and dyes in centimeters-depth. Thereby, we revealed structural details of the intact human eye, human thyroid, human kidney, and transgenic pig pancreas at the cellular resolution. Furthermore, we developed a deep learning pipeline to analyze millions of cells in cleared human brain tissues within hours with standard lab computers. Overall, SHANEL is a robust and unbiased technology to chart the cellular and molecular architecture of large intact mammalian organs.
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Affiliation(s)
- Shan Zhao
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Mihail Ivilinov Todorov
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Graduate School of Neuroscience (GSN), 82152 Munich, Germany
| | - Ruiyao Cai
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Rami Ai -Maskari
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Department of Computer Science, Technical University of Munich (TUM), 81675 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 80798 Munich, Germany; Graduate School of Bioengineering, Technical University of Munich (TUM), 85748 Munich, Germany
| | - Hanno Steinke
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Elisabeth Kemter
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), 85764 Oberschleißheim, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Hongcheng Mai
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Zhouyi Rong
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Martin Warmer
- Helmholtz Pioneer Campus, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Karen Stanic
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Oliver Schoppe
- Department of Computer Science, Technical University of Munich (TUM), 81675 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 80798 Munich, Germany
| | - Johannes Christian Paetzold
- Department of Computer Science, Technical University of Munich (TUM), 81675 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 80798 Munich, Germany; Graduate School of Bioengineering, Technical University of Munich (TUM), 85748 Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Milagros N Wong
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Tobias B Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Oliver Thomas Bruns
- Helmholtz Pioneer Campus, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Bjoern Menze
- Department of Computer Science, Technical University of Munich (TUM), 81675 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 80798 Munich, Germany; Graduate School of Bioengineering, Technical University of Munich (TUM), 85748 Munich, Germany
| | - Jan Lipfert
- Department of Physics and Center for Nanoscience, Ludwig Maximilian University of Munich (LMU), 80799 Munich, Germany
| | - Victor G Puelles
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Department of Nephrology, Monash Health, and Center for Inflammatory Diseases, Monash University, Melbourne VIC 3168, Australia
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), 85764 Oberschleißheim, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Ingo Bechmann
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Ali Ertürk
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany.
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22
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Cserép C, Pósfai B, Lénárt N, Fekete R, László ZI, Lele Z, Orsolits B, Molnár G, Heindl S, Schwarcz AD, Ujvári K, Környei Z, Tóth K, Szabadits E, Sperlágh B, Baranyi M, Csiba L, Hortobágyi T, Maglóczky Z, Martinecz B, Szabó G, Erdélyi F, Szipőcs R, Tamkun MM, Gesierich B, Duering M, Katona I, Liesz A, Tamás G, Dénes Á. Microglia monitor and protect neuronal function through specialized somatic purinergic junctions. Science 2019; 367:528-537. [PMID: 31831638 DOI: 10.1126/science.aax6752] [Citation(s) in RCA: 318] [Impact Index Per Article: 63.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 10/14/2019] [Accepted: 12/03/2019] [Indexed: 12/16/2022]
Abstract
Microglia are the main immune cells in the brain and have roles in brain homeostasis and neurological diseases. Mechanisms underlying microglia-neuron communication remain elusive. Here, we identified an interaction site between neuronal cell bodies and microglial processes in mouse and human brain. Somatic microglia-neuron junctions have a specialized nanoarchitecture optimized for purinergic signaling. Activity of neuronal mitochondria was linked with microglial junction formation, which was induced rapidly in response to neuronal activation and blocked by inhibition of P2Y12 receptors. Brain injury-induced changes at somatic junctions triggered P2Y12 receptor-dependent microglial neuroprotection, regulating neuronal calcium load and functional connectivity. Thus, microglial processes at these junctions could potentially monitor and protect neuronal functions.
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Affiliation(s)
- Csaba Cserép
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Balázs Pósfai
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary.,Szentágothai János Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary
| | - Nikolett Lénárt
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Rebeka Fekete
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary.,Szentágothai János Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary
| | - Zsófia I László
- Szentágothai János Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary.,Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest, Hungary
| | - Zsolt Lele
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest, Hungary
| | - Barbara Orsolits
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Gábor Molnár
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary
| | - Steffanie Heindl
- Institute for Stroke and Dementia Research, Ludwig-Maximilians-University, Munich, Germany
| | - Anett D Schwarcz
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Katinka Ujvári
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Zsuzsanna Környei
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Krisztina Tóth
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary.,Szentágothai János Doctoral School of Neuroscience, Semmelweis University, Budapest, Hungary
| | - Eszter Szabadits
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Beáta Sperlágh
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, Budapest, Hungary
| | - Mária Baranyi
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, Budapest, Hungary
| | - László Csiba
- MTA-DE Cerebrovascular and Neurodegenerative Research Group, Department of Neurology, University of Debrecen, Debrecen, Hungary
| | - Tibor Hortobágyi
- Institute of Pathology, Faculty of Medicine, University of Szeged, Szeged, Hungary.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Centre for Age-Related Medicine, SESAM, Stavanger University Hospital, Stavanger, Norway
| | - Zsófia Maglóczky
- Human Brain Research Laboratory, Institute of Experimental Medicine, Budapest, Hungary
| | - Bernadett Martinecz
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Gábor Szabó
- Medical Gene Technology Unit, Institute of Experimental Medicine, Budapest, Hungary
| | - Ferenc Erdélyi
- Medical Gene Technology Unit, Institute of Experimental Medicine, Budapest, Hungary
| | - Róbert Szipőcs
- Institute for Solid State Physics and Optics of Wigner RCP, Budapest, Hungary
| | - Michael M Tamkun
- Department of Biomedical Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, Ludwig-Maximilians-University, Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - István Katona
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest, Hungary
| | - Arthur Liesz
- Institute for Stroke and Dementia Research, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Gábor Tamás
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary
| | - Ádám Dénes
- Momentum Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary.
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23
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Finsterwalder S, Wuehr M, Gesierich B, Dietze A, Konieczny MJ, Schmidt R, Schniepp R, Duering M. Minor gait impairment despite white matter damage in pure small vessel disease. Ann Clin Transl Neurol 2019; 6:2026-2036. [PMID: 31524338 PMCID: PMC6801180 DOI: 10.1002/acn3.50891] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 07/29/2019] [Accepted: 08/12/2019] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVE Gait impairment is common in patients with cerebral small vessel disease (SVD). However, gait studies in elderly SVD patients might be confounded by age-related comorbidities, such as polyneuropathy or sarcopenia. We therefore studied young patients with the genetically defined SVD CADASIL. Our aim was to examine the effects of pure SVD on single and dual task gait, and to investigate associations of gait performance with cognitive deficits and white matter alterations. METHODS We investigated single task walking and calculatory, semantic, or motoric dual task costs in 39 CADASIL patients (mean age 50 ± 8) using a computerized walkway. We obtained 3.0T MRI and neuropsychological data on processing speed, the main cognitive deficit in CADASIL. Spatiotemporal gait parameters were standardized based on data from 192 healthy controls. Associations between white matter integrity, assessed by diffusion tensor imaging, and gait were analyzed using both a global marker and voxel-wise analysis. RESULTS Compared to controls, CADASIL patients showed only mild single task gait impairment, and only in the rhythm domain. The semantic dual task additionally uncovered mild deficits in the pace domain. Processing speed was not associated with gait. White matter alterations were related to single task stride length but not to dual task performance. INTERPRETATION Despite severe disease burden, gait performance in patients with pure small vessel disease was relatively preserved in single and dual tasks. Results suggest that age-related pathologies other than small vessel disease might play a role for gait impairment in elderly SVD patients.
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Affiliation(s)
- Sofia Finsterwalder
- Institute for Stroke and Dementia ResearchUniversity HospitalLMU MunichMunichGermany
| | - Max Wuehr
- German Center for Vertigo and Balance Disorders DSGZDepartment of NeurologyUniversity HospitalLMU MunichMunichGermany
| | - Benno Gesierich
- Institute for Stroke and Dementia ResearchUniversity HospitalLMU MunichMunichGermany
| | - Anna Dietze
- German Center for Vertigo and Balance Disorders DSGZDepartment of NeurologyUniversity HospitalLMU MunichMunichGermany
| | - Marek J. Konieczny
- Institute for Stroke and Dementia ResearchUniversity HospitalLMU MunichMunichGermany
| | | | - Roman Schniepp
- German Center for Vertigo and Balance Disorders DSGZDepartment of NeurologyUniversity HospitalLMU MunichMunichGermany
| | - Marco Duering
- Institute for Stroke and Dementia ResearchUniversity HospitalLMU MunichMunichGermany
- Munich Cluster for Systems Neurology (SyNergy)MunichGermany
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24
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Ter Telgte A, Wiegertjes K, Gesierich B, Marques JP, Huebner M, de Klerk JJ, Schreuder FHBM, Araque Caballero MA, Kuijf HJ, Norris DG, Klijn CJM, Dichgans M, Tuladhar AM, Duering M, de Leeuw FE. Contribution of acute infarcts to cerebral small vessel disease progression. Ann Neurol 2019; 86:582-592. [PMID: 31340067 PMCID: PMC6771732 DOI: 10.1002/ana.25556] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/18/2019] [Accepted: 07/18/2019] [Indexed: 01/02/2023]
Abstract
Objective To determine the contribution of acute infarcts, evidenced by diffusion‐weighted imaging positive (DWI+) lesions, to progression of white matter hyperintensities (WMH) and other cerebral small vessel disease (SVD) markers. Methods We performed monthly 3T magnetic resonance imaging (MRI) for 10 consecutive months in 54 elderly individuals with SVD. MRI included high‐resolution multishell DWI, and 3‐dimensional fluid‐attenuated inversion recovery, T1, and susceptibility‐weighted imaging. We determined DWI+ lesion evolution, WMH progression rate (ml/mo), and number of incident lacunes and microbleeds, and calculated for each marker the proportion of progression explained by DWI+ lesions. Results We identified 39 DWI+ lesions on 21 of 472 DWI scans in 9 of 54 subjects. Of the 36 DWI+ lesions with follow‐up MRI, 2 evolved into WMH, 4 evolved into a lacune (3 with cavity <3mm), 3 evolved into a microbleed, and 27 were not detectable on follow‐up. WMH volume increased at a median rate of 0.027 ml/mo (interquartile range = 0.005–0.073), but was not significantly higher in subjects with DWI+ lesions compared to those without (p = 0.195). Of the 2 DWI+ lesions evolving into WMH on follow‐up, one explained 23% of the total WMH volume increase in one subject, whereas the WMH regressed in the other subject. DWI+ lesions preceded 4 of 5 incident lacunes and 3 of 10 incident microbleeds. Interpretation DWI+ lesions explain only a small proportion of the total WMH progression. Hence, WMH progression seems to be mostly driven by factors other than acute infarcts. DWI+ lesions explain the majority of incident lacunes and small cavities, and almost one‐third of incident microbleeds, confirming that WMH, lacunes, and microbleeds, although heterogeneous on MRI, can have a common initial appearance on MRI. ANN NEUROL 2019;86:582–592
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Affiliation(s)
- Annemieke Ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Mathias Huebner
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Jabke J de Klerk
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Miguel A Araque Caballero
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE Munich), Munich, Germany
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE Munich), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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25
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Cramer JV, Gesierich B, Roth S, Dichgans M, Düring M, Liesz A. In vivo widefield calcium imaging of the mouse cortex for analysis of network connectivity in health and brain disease. Neuroimage 2019; 199:570-584. [PMID: 31181333 DOI: 10.1016/j.neuroimage.2019.06.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 05/27/2019] [Accepted: 06/04/2019] [Indexed: 01/10/2023] Open
Abstract
The organization of brain areas in functionally connected networks, their dynamic changes, and perturbations in disease states are subject of extensive investigations. Research on functional networks in humans predominantly uses functional magnetic resonance imaging (fMRI). However, adopting fMRI and other functional imaging methods to mice, the most widely used model to study brain physiology and disease, poses major technical challenges and faces important limitations. Hence, there is great demand for alternative imaging modalities for network characterization. Here, we present a refined protocol for in vivo widefield calcium imaging of both cerebral hemispheres in mice expressing a calcium sensor in excitatory neurons. We implemented a stringent protocol for minimizing anesthesia and excluding movement artifacts which both imposed problems in previous approaches. We further adopted a method for unbiased identification of functional cortical areas using independent component analysis (ICA) on resting-state imaging data. Biological relevance of identified components was confirmed using stimulus-dependent cortical activation. To explore this novel approach in a model of focal brain injury, we induced photothrombotic lesions of the motor cortex, determined changes in inter- and intrahemispheric connectivity at multiple time points up to 56 days post-stroke and correlated them with behavioral deficits. We observed a severe loss in interhemispheric connectivity after stroke, which was partially restored in the chronic phase and associated with corresponding behavioral motor deficits. Taken together, we present an improved widefield calcium imaging tool accounting for anesthesia and movement artifacts, adopting an advanced analysis pipeline based on human fMRI algorithms and with superior sensitivity to recovery mechanisms in mouse models compared to behavioral tests. This tool will enable new studies on interhemispheric connectivity in murine models with comparability to human imaging studies for a wide spectrum of neuroscience applications in health and disease.
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Affiliation(s)
- Julia V Cramer
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Stefan Roth
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 80336, Munich, Germany
| | - Marco Düring
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.
| | - Arthur Liesz
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 80336, Munich, Germany.
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26
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Abstract
Previous evidence from neuropsychological and neuroimaging studies suggests functional specialization for tools and related semantic knowledge in a left frontoparietal network. It is still debated whether these areas are involved in the representation of rudimentary movement-relevant knowledge regardless of semantic domains (animate vs. inanimate) or categories (tools vs. nontool objects). Here, we used fMRI to record brain activity while 13 volunteers performed two semantic judgment tasks on visually presented items from three different categories: animals, tools, and nontool objects. Participants had to judge two distinct semantic features: whether two items typically move in a similar way (e.g., a fan and a windmill move in circular motion) or whether they are usually found in the same environment (e.g., a seesaw and a swing are found in a playground). We investigated differences in overall activation (which areas are involved) as well as representational content (which information is encoded) across semantic features and categories. Results of voxel-wise mass univariate analysis showed that, regardless of semantic category, a dissociation emerges between processing information on prototypical location (involving the anterior temporal cortex and the angular gyrus) and movement (linked to left inferior parietal and frontal activation). Multivoxel pattern correlation analyses confirmed the representational segregation of networks encoding task- and category-related aspects of semantic processing. Taken together, these findings suggest that the left frontoparietal network is recruited to process movement properties of items (including both biological and nonbiological motion) regardless of their semantic category.
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27
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Battistella G, Henry M, Gesierich B, Wilson SM, Borghesani V, Shwe W, Miller Z, Deleon J, Miller BL, Jovicich J, Papinutto N, Dronkers NF, Seeley WW, Mandelli ML, Gorno-Tempini ML. Differential intrinsic functional connectivity changes in semantic variant primary progressive aphasia. Neuroimage Clin 2019; 22:101797. [PMID: 31146321 PMCID: PMC6465769 DOI: 10.1016/j.nicl.2019.101797] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 03/26/2019] [Indexed: 12/25/2022]
Abstract
The semantic variant of primary progressive aphasia (svPPA) is a clinical syndrome characterized by semantic memory deficits with relatively preserved motor speech, syntax, and phonology. There is consistent evidence linking focal neurodegeneration of the anterior temporal lobes (ATL) to the semantic deficits observed in svPPA. Less is known about large-scale functional connectivity changes in this syndrome, particularly regarding the interplay between affected and spared language networks that leads to the unique cognitive dissociations typical of svPPA. Using whole-brain, seed-based connectivity on task-free Magnetic Resonance Imaging (MRI) data, we studied connectivity of networks anchored to three left-hemisphere regions crucially involved in svPPA symptomatology: ATL just posterior to the main atrophic area, opercular inferior frontal gyrus, and posterior inferior temporal lobe. First, in 32 healthy controls, these seeds isolated three networks: a ventral semantic network involving anterior middle temporal and angular gyri, a dorsal articulatory-phonological system involving inferior frontal and supramarginal regions, and a third functional connection between posterior inferior temporal and intraparietal regions likely involved in linking visual and linguistic processes. We then compared connectivity strength of these three networks between 16 svPPA patients and the 32 controls. In svPPA, decreased functional connectivity in the ventral semantic network correlated with weak semantic skills, while connectivity of the network seeded from the posterior inferior temporal lobe, though not significantly different between the two groups, correlated with pseudoword reading skills. Increased connectivity between the inferior frontal gyrus and the superior portion of the angular gyrus suggested possible adaptive changes. Our findings have two main implications. First, they support a functional subdivision of the left IPL based on its connectivity to specific language-related regions. Second, the unique neuroanatomical and linguistic profile observed in svPPA provides a compelling model for the functional interplay of these networks, being either up- or down- regulated in response to disease.
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Affiliation(s)
- Giovanni Battistella
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA.
| | - Maya Henry
- Department of Communication Sciences and Disorders, University of Texas, Austin, USA
| | - Benno Gesierich
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Stephen M Wilson
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Valentina Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Wendy Shwe
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA 94158, USA
| | - Jessica Deleon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
| | - Nico Papinutto
- Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Nina F Dronkers
- Department of Psychology, University of California, Berkeley, CA 94720, USA; Department of Neurology, University of California, Davis, CA 95616, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Maria Luisa Mandelli
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA 94158, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA 94158, USA
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28
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Tiedt S, Duering M, Barro C, Kaya AG, Boeck J, Bode FJ, Klein M, Dorn F, Gesierich B, Kellert L, Ertl-Wagner B, Goertler MW, Petzold GC, Kuhle J, Wollenweber FA, Peters N, Dichgans M. Serum neurofilament light: A biomarker of neuroaxonal injury after ischemic stroke. Neurology 2018; 91:e1338-e1347. [PMID: 30217937 DOI: 10.1212/wnl.0000000000006282] [Citation(s) in RCA: 105] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 07/04/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To explore the utility of serum neurofilament light chain (NfL) as a biomarker for primary and secondary neuroaxonal injury after ischemic stroke (IS) and study its value for the prediction of clinical outcome. METHODS We used an ultrasensitive single-molecule array assay to measure serum NfL levels in healthy controls (n = 30) and 2 independent cohorts of patients with IS: (1) with serial serum sampling at hospital arrival (n = 196), at days 2, 3, and 7 (n = 89), and up to 6 months post stroke; and (2) with standardized MRI at baseline and at 6 months post stroke, and with cross-sectional serum sampling at 6 months (n = 95). We determined the temporal profile of serum NfL levels, their association with imaging markers of neuroaxonal injury, and with clinical outcome. RESULTS Patients with IS had higher serum NfL levels compared with healthy controls starting from admission until 6 months post stroke. Serum NfL levels peaked at day 7 (211.2 pg/mL [104.7-442.6], median [IQR]) and correlated with infarct volumes (day 7: partial r = 0.736, p = 1.5 × 10-15). Six months post stroke, patients with recurrent ischemic lesions on MRI (n = 19) had higher serum NfL levels compared to those without new lesions (n = 76, p = 0.002). Serum NfL levels 6 months post stroke further correlated with a quantitative measure of secondary neurodegeneration obtained from diffusion tensor imaging MRI (r = 0.361, p = 0.001). Serum NfL levels 7 days post stroke independently predicted modified Rankin Scale scores 3 months post stroke (cumulative odds ratio [95% confidence interval] = 2.35 [1.60-3.45]; p = 1.24 × 10-05). CONCLUSION Serum NfL holds promise as a biomarker for monitoring primary and secondary neuroaxonal injury after IS and for predicting functional outcome.
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Affiliation(s)
- Steffen Tiedt
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Marco Duering
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Christian Barro
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Asli Gizem Kaya
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Julia Boeck
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Felix J Bode
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Matthias Klein
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Franziska Dorn
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Benno Gesierich
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Lars Kellert
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Birgit Ertl-Wagner
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Michael W Goertler
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Gabor C Petzold
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Jens Kuhle
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Frank A Wollenweber
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Nils Peters
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany
| | - Martin Dichgans
- From the Institute for Stroke and Dementia Research, University Hospital (S.T., M. Duering, A.G.K., J.B., B.G., F.A.W., M. Dichgans), and Graduate School of Systemic Neurosciences (S.T.), LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (S.T., M. Dichgans), Munich, Germany; Neurologic Clinic and Policlinic (C.B., J.K.), Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Switzerland; German Center for Neurodegenerative Diseases (DZNE) (F.J.B., G.C.P.), Bonn; Department of Neurology (F.J.B., G.C.P.), University Hospital Bonn; Departments of Neurology (M.K., L.K.), Neuroradiology (F.D.), and Radiology (B.E.-W.), University Hospital, LMU Munich; Department of Neurology (M.W.G.), University of Magdeburg, University Hospital; German Center for Neurodegenerative Diseases (DZNE) (M.W.G.), Magdeburg, Germany; Stroke Center and Department of Neurology (N.P.), University Hospital Basel, Switzerland; and German Center for Neurodegenerative Diseases (DZNE) (M. Dichgans), Munich, Germany.
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Duering M, Finsterwalder S, Baykara E, Tuladhar AM, Gesierich B, Konieczny MJ, Malik R, Franzmeier N, Ewers M, Jouvent E, Biessels GJ, Schmidt R, de Leeuw FE, Pasternak O, Dichgans M. Free water determines diffusion alterations and clinical status in cerebral small vessel disease. Alzheimers Dement 2018; 14:764-774. [PMID: 29406155 PMCID: PMC5994358 DOI: 10.1016/j.jalz.2017.12.007] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Revised: 12/16/2017] [Accepted: 12/19/2017] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Diffusion tensor imaging detects early tissue alterations in Alzheimer's disease and cerebral small vessel disease (SVD). However, the origin of diffusion alterations in SVD is largely unknown. METHODS To gain further insight, we applied free water (FW) imaging to patients with genetically defined SVD (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy [CADASIL], n = 57), sporadic SVD (n = 444), and healthy controls (n = 28). We modeled freely diffusing water in the extracellular space (FW) and measures reflecting fiber structure (tissue compartment). We tested associations between these measures and clinical status (processing speed and disability). RESULTS Diffusion alterations in SVD were mostly driven by increased FW and less by tissue compartment alterations. Among imaging markers, FW showed the strongest association with clinical status (R2 up to 34%, P < .0001). Findings were consistent across patients with CADASIL and sporadic SVD. DISCUSSION Diffusion alterations and clinical status in SVD are largely determined by extracellular fluid increase rather than alterations of white matter fiber organization.
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Affiliation(s)
- Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.
| | - Sofia Finsterwalder
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Ebru Baykara
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Anil Man Tuladhar
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Marek J Konieczny
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Rainer Malik
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Eric Jouvent
- Univ Paris Diderot, DHU NeuroVasc Sorbonne Paris Cité, UMR-S 1161 INSERM, Paris, France; Department of Neurology, Assistance publique - hôpitaux de Paris (AP-HP), Lariboisière Hospital, Paris, France
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
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Duering M, Konieczny MJ, Tiedt S, Baykara E, Tuladhar AM, Leijsen EV, Lyrer P, Engelter ST, Gesierich B, Achmüller M, Barro C, Adam R, Ewers M, Dichgans M, Kuhle J, de Leeuw FE, Peters N. Serum Neurofilament Light Chain Levels Are Related to Small Vessel Disease Burden. J Stroke 2018; 20:228-238. [PMID: 29886723 PMCID: PMC6007291 DOI: 10.5853/jos.2017.02565] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 02/01/2018] [Accepted: 02/02/2018] [Indexed: 12/12/2022] Open
Abstract
Background and Purpose Neurofilament light chain (NfL) is a blood marker for neuroaxonal damage. We assessed the association between serum NfL and cerebral small vessel disease (SVD), which is highly prevalent in elderly individuals and a major cause of stroke and vascular cognitive impairment.
Methods Using a cross-sectional design, we studied 53 and 439 patients with genetically defined SVD (Cerebral Autosomal-Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy [CADASIL]) and sporadic SVD, respectively, as well as 93 healthy controls. Serum NfL was measured by an ultrasensitive single-molecule array assay. We quantified magnetic resonance imaging (MRI) markers of SVD, i.e., white matter hyperintensity volume, lacune volume, brain volume, microbleed count, and mean diffusivity obtained from diffusion tensor imaging. Clinical characterization included neuropsychological testing in both SVD samples. CADASIL patients were further characterized for focal neurological deficits (National Institutes of Health stroke scale [NIHSS]) and disability (modified Rankin scale [mRS]).
Results Serum NfL levels were elevated in both SVD samples (P<1e-05 compared with controls) and associated with all SVD MRI markers. The strongest association was found for mean diffusivity (CADASIL, R2=0.52, P=1.2e-09; sporadic SVD, R2=0.21, P<1e-15). Serum NfL levels were independently related to processing speed performance (CADASIL, R2=0.27, P=7.6e-05; sporadic SVD, R2=0.06, P=4.8e-08), focal neurological symptoms (CADASIL, NIHSS, P=4.2e-05) and disability (CADASIL, mRS, P=3.0e-06).
Conclusions We found serum NfL levels to be associated with both imaging and clinical features of SVD. Serum NfL might complement MRI markers in assessing SVD burden. Importantly, SVD needs to be considered when interpreting serum NfL levels in the context of other age-related diseases.
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Affiliation(s)
- Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Marek J Konieczny
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Ebru Baykara
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Anil Man Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Esther van Leijsen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Philippe Lyrer
- Stroke Center and Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Stefan T Engelter
- Stroke Center and Department of Neurology, University Hospital Basel, Basel, Switzerland.,Neurorehabilitation Unit, University of Basel and University Center for Medicine of Aging, Felix Platter Hospital, Basel, Switzerland
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Melanie Achmüller
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Christian Barro
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital of Basel, Basel, Switzerland
| | - Ruth Adam
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital of Basel, Basel, Switzerland
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nils Peters
- Stroke Center and Department of Neurology, University Hospital Basel, Basel, Switzerland
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Ter Telgte A, Wiegertjes K, Tuladhar AM, Noz MP, Marques JP, Gesierich B, Huebner M, Mutsaerts HJM, Elias-Smale SE, Beelen MJ, Ropele S, Kessels RP, Riksen NP, Klijn CJ, Norris DG, Duering M, de Leeuw FE. Investigating the origin and evolution of cerebral small vessel disease: The RUN DMC - InTENse study. Eur Stroke J 2018; 3:369-378. [PMID: 31236485 PMCID: PMC6571506 DOI: 10.1177/2396987318776088] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 04/17/2018] [Indexed: 01/24/2023] Open
Abstract
Background Neuroimaging in older adults commonly reveals signs of cerebral small vessel
disease (SVD). SVD is believed to be caused by chronic hypoperfusion based
on animal models and longitudinal studies with inter-scan intervals of
years. Recent imaging evidence, however, suggests a role for acute
ischaemia, as indicated by incidental diffusion-weighted imaging lesions
(DWI+ lesions), in the origin of SVD. Furthermore, it becomes increasingly
recognised that focal SVD lesions likely affect the structure and function
of brain areas remote from the original SVD lesion. However, the temporal
dynamics of these events are largely unknown. Aims (1) To investigate the monthly incidence of DWI+ lesions in subjects with
SVD; (2) to assess to which extent these lesions explain progression of SVD
imaging markers; (3) to investigate their effects on cortical thickness,
structural and functional connectivity and cognitive and motor performance;
and (4) to investigate the potential role of the innate immune system in the
pathophysiology of SVD. Design/methods The RUN DMC – InTENse study is a longitudinal observational study among 54
non-demented RUN DMC survivors with mild to severe SVD and no other presumed
cause of ischaemia. We performed MRI assessments monthly during 10
consecutive months (totalling up to 10 scans per subject), complemented with
clinical, motor and cognitive examinations. Discussion Our study will provide a better understanding of the role of DWI+ lesions in
the pathophysiology of SVD and will further unravel the structural and
functional consequences and clinical importance of these lesions, with an
unprecedented temporal resolution. Understanding the role of acute,
potentially ischaemic, processes in SVD may provide new strategies for
therapies.
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Affiliation(s)
- Annemieke Ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marlies P Noz
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Mathias Huebner
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | | | - Suzette E Elias-Smale
- Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marie-José Beelen
- Department of Surgery, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Roy Pc Kessels
- Department of Medical Psychology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Niels P Riksen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Catharina Jm Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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Heindl S, Gesierich B, Benakis C, Llovera G, Duering M, Liesz A. Automated Morphological Analysis of Microglia After Stroke. Front Cell Neurosci 2018; 12:106. [PMID: 29725290 PMCID: PMC5917008 DOI: 10.3389/fncel.2018.00106] [Citation(s) in RCA: 137] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 04/03/2018] [Indexed: 01/10/2023] Open
Abstract
Microglia are the resident immune cells of the brain and react quickly to changes in their environment with transcriptional regulation and morphological changes. Brain tissue injury such as ischemic stroke induces a local inflammatory response encompassing microglial activation. The change in activation status of a microglia is reflected in its gradual morphological transformation from a highly ramified into a less ramified or amoeboid cell shape. For this reason, the morphological changes of microglia are widely utilized to quantify microglial activation and studying their involvement in virtually all brain diseases. However, the currently available methods, which are mainly based on manual rating of immunofluorescent microscopic images, are often inaccurate, rater biased, and highly time consuming. To address these issues, we created a fully automated image analysis tool, which enables the analysis of microglia morphology from a confocal Z-stack and providing up to 59 morphological features. We developed the algorithm on an exploratory dataset of microglial cells from a stroke mouse model and validated the findings on an independent data set. In both datasets, we could demonstrate the ability of the algorithm to sensitively discriminate between the microglia morphology in the peri-infarct and the contralateral, unaffected cortex. Dimensionality reduction by principal component analysis allowed to generate a highly sensitive compound score for microglial shape analysis. Finally, we tested for concordance of results between the novel automated analysis tool and the conventional manual analysis and found a high degree of correlation. In conclusion, our novel method for the fully automatized analysis of microglia morphology shows excellent accuracy and time efficacy compared to traditional analysis methods. This tool, which we make openly available, could find application to study microglia morphology using fluorescence imaging in a wide range of brain disease models.
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Affiliation(s)
- Steffanie Heindl
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Corinne Benakis
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Gemma Llovera
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Arthur Liesz
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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33
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Biesbroek JM, Leemans A, den Bakker H, Duering M, Gesierich B, Koek HL, van den Berg E, Postma A, Biessels GJ. Microstructure of Strategic White Matter Tracts and Cognition in Memory Clinic Patients with Vascular Brain Injury. Dement Geriatr Cogn Disord 2018; 44:268-282. [PMID: 29353280 PMCID: PMC5972515 DOI: 10.1159/000485376] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 11/15/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND White matter injury is an important factor for cognitive impairment in memory clinic patients. We determined the added value of diffusion tensor imaging (DTI) of strategic white matter tracts in explaining variance in cognition in memory clinic patients with vascular brain injury. METHODS We included 159 patients. Conventional MRI markers (white matter hyperintensity volume, lacunes, nonlacunar infarcts, brain atrophy, and microbleeds), and fractional anisotropy and mean diffusivity (MD) of the whole brain white matter and of 18 white matter tracts were related to cognition using linear regression and Bayesian network analysis. RESULTS On top of all conventional MRI markers combined, MD of the whole brain white matter explained an additional 3.4% (p = 0.014), 7.8% (p < 0.001), and 1.2% (p = 0.119) variance in executive functioning, speed, and memory, respectively. The Bayesian analyses of regional DTI measures identified strategic tracts for executive functioning (right superior longitudinal fasciculus), speed (left corticospinal tract), and memory (left uncinate fasciculus). MD within these tracts explained an additional 3.4% (p = 0.012), 3.8% (p = 0.007), and 2.1% (p = 0.041) variance in executive functioning, speed, and memory, respectively, on top of all conventional MRI and global DTI markers combined. CONCLUSION In memory clinic patients with vascular brain injury, DTI of strategic white matter tracts has a significant added value in explaining variance in cognitive functioning.
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Affiliation(s)
- J. Matthijs Biesbroek
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands,*J. Matthijs Biesbroek, MD, Department of Neurology, University Medical Center Utrecht, Heidelberglaan 100, NL-3508 GA Utrecht (The Netherlands), E-Mail
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hanna den Bakker
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universitaät München, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universitaät München, Munich, Germany
| | - Huiberdina L. Koek
- Department of Geriatrics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Esther van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands,Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
| | - Albert Postma
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
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Franzmeier N, Caballero MÁA, Taylor ANW, Simon-Vermot L, Buerger K, Ertl-Wagner B, Mueller C, Catak C, Janowitz D, Baykara E, Gesierich B, Duering M, Ewers M. Resting-state global functional connectivity as a biomarker of cognitive reserve in mild cognitive impairment. Brain Imaging Behav 2018; 11:368-382. [PMID: 27709513 DOI: 10.1007/s11682-016-9599-1] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Cognitive reserve (CR) shows protective effects in Alzheimer's disease (AD) and reduces the risk of dementia. Despite the clinical significance of CR, a clinically useful diagnostic biomarker of brain changes underlying CR in AD is not available yet. Our aim was to develop a fully-automated approach applied to fMRI to produce a biomarker associated with CR in subjects at increased risk of AD. We computed resting-state global functional connectivity (GFC), i.e. the average connectivity strength, for each voxel within the cognitive control network, which may sustain CR due to its central role in higher cognitive function. In a training sample including 43 mild cognitive impairment (MCI) subjects and 24 healthy controls (HC), we found that MCI subjects with high CR (> median of years of education, CR+) showed increased frequency of high GFC values compared to MCI-CR- and HC. A summary index capturing such a surplus frequency of high GFC was computed (called GFC reserve (GFC-R) index). GFC-R discriminated MCI-CR+ vs. MCI-CR-, with the area under the ROC = 0.84. Cross-validation in an independently recruited test sample of 23 MCI subjects showed that higher levels of the GFC-R index predicted higher years of education and an alternative questionnaire-based proxy of CR, controlled for memory performance, gray matter of the cognitive control network, white matter hyperintensities, age, and gender. In conclusion, the GFC-R index that captures GFC changes within the cognitive control network provides a biomarker candidate of functional brain changes of CR in patients at increased risk of AD.
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Affiliation(s)
- N Franzmeier
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany.
| | - M Á Araque Caballero
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - A N W Taylor
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - L Simon-Vermot
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - K Buerger
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE, Munich), Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - B Ertl-Wagner
- Institute for Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilian University, Marchioninistraße 15, 81377, Munich, Germany
| | - C Mueller
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - C Catak
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - D Janowitz
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - E Baykara
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - B Gesierich
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - M Duering
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
| | - M Ewers
- Institut für Schlaganfall-und Demenzforschung (ISD), Ludwig-Maximilians-Universität LMU, Klinikum der Universität München, Feodor-Lynen Straße 17, 81377, Munich, Germany
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Wollenweber FA, Baykara E, Zedde M, Gesierich B, Achmüller M, Jouvent E, Viswanathan A, Ropele S, Chabriat H, Schmidt R, Opherk C, Dichgans M, Linn J, Duering M. Cortical Superficial Siderosis in Different Types of Cerebral Small Vessel Disease. Stroke 2017; 48:1404-1407. [DOI: 10.1161/strokeaha.117.016833] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 01/24/2017] [Accepted: 02/01/2017] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Cortical superficial siderosis (cSS) has emerged as a clinically relevant imaging feature of cerebral amyloid angiopathy (CAA). However, it remains unknown whether cSS is also present in nonamyloid-associated small vessel disease and whether patients with cSS differ in terms of other small vessel disease imaging features.
Methods—
Three hundred sixty-four CADASIL (cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy) patients, 372 population-based controls, and 100 CAA patients with cSS (fulfilling the modified Boston criteria for possible/probable CAA) were included. cSS and cerebral microbleeds were visually rated on T2*-weighted magnetic resonance imaging. White matter hyperintensities were segmented on fluid-attenauted inversion recovery images, and their spatial distribution was compared between groups using colocalization analysis. Cerebral microbleeds location was determined in an observer-independent way using an atlas in standard space.
Results—
cSS was absent in CADASIL and present in only 2 population-based controls (0.5%). Cerebral microbleeds were present in 64% of CAA patients with cSS, 34% of patients with CADASIL, and 12% of population-based controls. Among patients with cerebral microbleeds, lobar location was found in 95% of CAA patients with cSS, 48% of CADASIL patients, and 69% of population-based controls. The spatial distribution of white matter hyperintensities was comparable between CAA with cSS and CADASIL as indicated by high colocalization coefficients.
Conclusions—
cSS was absent in CADASIL, whereas other small vessel disease imaging features were similar to CAA patients with cSS. Our findings suggest that cSS in combination with other small vessel disease imaging markers is highly indicative of CAA.
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Affiliation(s)
- Frank Arne Wollenweber
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Ebru Baykara
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Marialuisa Zedde
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Benno Gesierich
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Melanie Achmüller
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Eric Jouvent
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Anand Viswanathan
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Stefan Ropele
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Hugues Chabriat
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Reinhold Schmidt
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Christian Opherk
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Martin Dichgans
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Jennifer Linn
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
| | - Marco Duering
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Germany (F.A.W., E.B., B.G., M.A., M.D., M.D.); Neurology Unit, Stroke Unit, IRCCS-Arcispedale Santa Maria Nuova, Reggio Emilia, Italy (M.Z.); University Paris Diderot, Sorbonne Paris Cité, UMRS 1161 INSERM, France (E.J., H.C.); Hemorrhagic Stroke Research Program, Department of Neurology, Massachusetts General Hospital Stroke Research Center, Harvard Medical School, Boston (A.V
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36
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Seiler S, Pirpamer L, Gesierich B, Hofer E, Duering M, Pinter D, Jouvent E, Fazekas F, Mangin JF, Chabriat H, Ropele S, Schmidt R. Lower Magnetization Transfer Ratio in the Forceps Minor Is Associated with Poorer Gait Velocity in Older Adults. AJNR Am J Neuroradiol 2017; 38:500-506. [PMID: 27979793 DOI: 10.3174/ajnr.a5036] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2016] [Accepted: 10/12/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Gait disturbances in the elderly are disabling and a major public health issue but are poorly understood. In this multimodal MR imaging study, we used 2 voxel-based analysis methods to assess the voxelwise relationship of magnetization transfer ratio and white matter hyperintensity location with gait velocity in older adults. MATERIALS AND METHODS We assessed 230 community-dwelling participants of the Austrian Stroke Prevention Family Study. Every participant underwent 3T MR imaging, including magnetization transfer imaging. Voxel-based magnetization transfer ratio-symptom mapping correlated the white matter magnetization transfer ratio of each voxel with gait velocity. To assess a possible relationship between white matter hyperintensity location and gait velocity, we applied voxel-based lesion-symptom mapping. RESULTS We found a significant association between the magnetization transfer ratio within the forceps minor and gait velocity (β = 0.134; 95% CI, 0.011-0.258; P = .033), independent of demographics, general physical performance, vascular risk factors, and brain volume. White matter hyperintensities did not significantly change this association. CONCLUSIONS Our study provides new evidence for the importance of magnetization transfer ratio changes in gait disturbances at an older age, particularly in the forceps minor. The histopathologic basis of these findings is yet to be determined.
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Affiliation(s)
- S Seiler
- From the Department of Neurology (S.S., L.P., E.H., D.P., F.F., S.R., R.S.)
| | - L Pirpamer
- From the Department of Neurology (S.S., L.P., E.H., D.P., F.F., S.R., R.S.)
| | - B Gesierich
- Institute for Stroke and Dementia Research (B.G., M.D.), Klinikum der Universität München, Ludwig-Maximilians-University, Munich, Germany
| | - E Hofer
- From the Department of Neurology (S.S., L.P., E.H., D.P., F.F., S.R., R.S.)
- Institute of Medical Informatics, Statistics and Documentation (E.H.), Medical University of Graz, Graz, Austria
| | - M Duering
- Institute for Stroke and Dementia Research (B.G., M.D.), Klinikum der Universität München, Ludwig-Maximilians-University, Munich, Germany
| | - D Pinter
- From the Department of Neurology (S.S., L.P., E.H., D.P., F.F., S.R., R.S.)
| | - E Jouvent
- Department of Neurology (E.J., H.C.), Institut National de la Santé et de la Recherche Médicale, UMR-740, Centre Hospitalo-Universitaire Lariboisière, Paris, France
| | - F Fazekas
- From the Department of Neurology (S.S., L.P., E.H., D.P., F.F., S.R., R.S.)
| | - J-F Mangin
- Neurospin (J.-F.M.), Commissariat à l'Energie Atomique et aux Energies Alternatives Saclay, Gif/Yvette, France
| | - H Chabriat
- Department of Neurology (E.J., H.C.), Institut National de la Santé et de la Recherche Médicale, UMR-740, Centre Hospitalo-Universitaire Lariboisière, Paris, France
| | - S Ropele
- From the Department of Neurology (S.S., L.P., E.H., D.P., F.F., S.R., R.S.)
| | - R Schmidt
- From the Department of Neurology (S.S., L.P., E.H., D.P., F.F., S.R., R.S.)
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Wilson SM, DeMarco AT, Henry ML, Gesierich B, Babiak M, Miller BL, Gorno-Tempini ML. Variable disruption of a syntactic processing network in primary progressive aphasia. Brain 2016; 139:2994-3006. [PMID: 27554388 PMCID: PMC5091045 DOI: 10.1093/brain/aww218] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2016] [Revised: 06/23/2016] [Accepted: 07/12/2016] [Indexed: 11/13/2022] Open
Abstract
Syntactic processing deficits are highly variable in individuals with primary progressive aphasia. Damage to left inferior frontal cortex has been associated with syntactic deficits in primary progressive aphasia in a number of structural and functional neuroimaging studies. However, a contrasting picture of a broader syntactic network has emerged from neuropsychological studies in other aphasic cohorts, and functional imaging studies in healthy controls. To reconcile these findings, we used functional magnetic resonance imaging to investigate the functional neuroanatomy of syntactic comprehension in 51 individuals with primary progressive aphasia, composed of all clinical variants and a range of degrees of syntactic processing impairment. We used trial-by-trial reaction time as a proxy for syntactic processing load, to determine which regions were modulated by syntactic processing in each patient, and how the set of regions recruited was related to whether syntactic processing was ultimately successful or unsuccessful. Relationships between functional abnormalities and patterns of cortical atrophy were also investigated. We found that the individual degree of syntactic comprehension impairment was predicted by left frontal atrophy, but also by functional disruption of a broader syntactic processing network, comprising left posterior frontal cortex, left posterior temporal cortex, and the left intraparietal sulcus and adjacent regions. These regions were modulated by syntactic processing in healthy controls and in patients with primary progressive aphasia with relatively spared syntax, but they were modulated to a lesser extent or not at all in primary progressive aphasia patients whose syntax was relatively impaired. Our findings suggest that syntactic comprehension deficits in primary progressive aphasia reflect not only structural and functional changes in left frontal cortex, but also disruption of a wider syntactic processing network.
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Affiliation(s)
- Stephen M. Wilson
- 1 Department of Speech, Language, and Hearing Sciences, University of Arizona, Tucson, AZ, USA
- 2 Department of Neurology, University of Arizona, Tucson, AZ, USA
- *Present address: Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew T. DeMarco
- 1 Department of Speech, Language, and Hearing Sciences, University of Arizona, Tucson, AZ, USA
| | - Maya L. Henry
- 3 Department of Neurology, University of California, San Francisco, CA, USA
- 4 Department of Communication Sciences and Disorders, University of Texas, Austin, TX, USA
| | - Benno Gesierich
- 3 Department of Neurology, University of California, San Francisco, CA, USA
| | - Miranda Babiak
- 3 Department of Neurology, University of California, San Francisco, CA, USA
| | - Bruce L. Miller
- 3 Department of Neurology, University of California, San Francisco, CA, USA
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Baykara E, Gesierich B, Adam R, Tuladhar AM, Biesbroek JM, Koek HL, Ropele S, Jouvent E, Chabriat H, Ertl-Wagner B, Ewers M, Schmidt R, de Leeuw FE, Biessels GJ, Dichgans M, Duering M. A Novel Imaging Marker for Small Vessel Disease Based on Skeletonization of White Matter Tracts and Diffusion Histograms. Ann Neurol 2016; 80:581-92. [PMID: 27518166 DOI: 10.1002/ana.24758] [Citation(s) in RCA: 210] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 08/08/2016] [Accepted: 08/09/2016] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To establish a fully automated, robust imaging marker for cerebral small vessel disease (SVD) and related cognitive impairment that is easy to implement, reflects disease burden, and is strongly associated with processing speed, the predominantly affected cognitive domain in SVD. METHODS We developed a novel magnetic resonance imaging marker based on diffusion tensor imaging, skeletonization of white matter tracts, and histogram analysis. The marker (peak width of skeletonized mean diffusivity [PSMD]) was assessed along with conventional SVD imaging markers. We first evaluated associations with processing speed in patients with genetically defined SVD (n = 113). Next, we validated our findings in independent samples of inherited SVD (n = 57), sporadic SVD (n = 444), and memory clinic patients with SVD (n = 105). The new marker was further applied to healthy controls (n = 241) and to patients with Alzheimer's disease (n = 153). We further conducted a longitudinal analysis and interscanner reproducibility study. RESULTS PSMD was associated with processing speed in all study samples with SVD (p-values between 2.8 × 10(-3) and 1.8 × 10(-10) ). PSMD explained most of the variance in processing speed (R(2) ranging from 8.8% to 46%) and consistently outperformed conventional imaging markers (white matter hyperintensity volume, lacune volume, and brain volume) in multiple regression analyses. Increases in PSMD were linked to vascular but not to neurodegenerative disease. In longitudinal analysis, PSMD captured SVD progression better than other imaging markers. INTERPRETATION PSMD is a new, fully automated, and robust imaging marker for SVD. PSMD can easily be applied to large samples and may be of great utility for both research studies and clinical use. Ann Neurol 2016;80:581-592.
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Affiliation(s)
- Ebru Baykara
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Ruth Adam
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Anil Man Tuladhar
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Department of Neurology, Nijmegen, the Netherlands
| | - J Matthijs Biesbroek
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Huiberdina L Koek
- Department of Geriatrics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Eric Jouvent
- Université Paris Diderot, Sorbonne Paris Cité, UMR-S 1161 National Institute for Health and Medical Research (INSERM), Paris, France.,Departement Hospitalo-Universitaire NeuroVasc Sorbonne Paris Cité, Paris, France.,Department of Neurology, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | | | - Hugues Chabriat
- Université Paris Diderot, Sorbonne Paris Cité, UMR-S 1161 National Institute for Health and Medical Research (INSERM), Paris, France.,Departement Hospitalo-Universitaire NeuroVasc Sorbonne Paris Cité, Paris, France.,Department of Neurology, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Birgit Ertl-Wagner
- Institute of Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Frank-Erik de Leeuw
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Department of Neurology, Nijmegen, the Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-University LMU, Munich, Germany.
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Taylor ANW, Kambeitz-Ilankovic L, Gesierich B, Simon-Vermot L, Franzmeier N, Araque Caballero MÁ, Müller S, Hesheng L, Ertl-Wagner B, Bürger K, Weiner MW, Dichgans M, Duering M, Ewers M. Tract-specific white matter hyperintensities disrupt neural network function in Alzheimer's disease. Alzheimers Dement 2016; 13:225-235. [PMID: 27432800 PMCID: PMC5319922 DOI: 10.1016/j.jalz.2016.06.2358] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 05/27/2016] [Accepted: 06/02/2016] [Indexed: 11/28/2022]
Abstract
INTRODUCTION White matter hyperintensities (WMHs) increase the risk of Alzheimer's disease (AD). Whether WMHs are associated with the decline of functional neural networks in AD is debated. METHOD Resting-state functional magnetic resonance imaging and WMH were assessed in 78 subjects with increased amyloid levels on AV-45 positron emission tomography (PET) in different clinical stages of AD. We tested the association between WMH volume in major atlas-based fiber tract regions of interest (ROIs) and changes in functional connectivity (FC) between the tracts' projection areas within the default mode network (DMN). RESULTS WMH volume within the inferior fronto-occipital fasciculus (IFOF) was the highest among all tract ROIs and associated with reduced FC in IFOF-connected DMN areas, independently of global AV-45 PET. Higher AV-45 PET contributed to reduced FC in IFOF-connected, temporal, and parietal DMN areas. CONCLUSIONS High fiber tract WMH burden is associated with reduced FC in connected areas, thus adding to the effects of amyloid pathology on neuronal network function.
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Affiliation(s)
- Alexander N W Taylor
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Lee Simon-Vermot
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Miguel Á Araque Caballero
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Sophia Müller
- Institute of Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Liu Hesheng
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Birgit Ertl-Wagner
- Institute of Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Katharina Bürger
- Institute of Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Michael W Weiner
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, USA; VA Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
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40
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Pirpamer L, Hofer E, Gesierich B, De Guio F, Freudenberger P, Seiler S, Duering M, Jouvent E, Duchesnay E, Dichgans M, Ropele S, Schmidt R. Determinants of iron accumulation in the normal aging brain. Neurobiol Aging 2016; 43:149-55. [DOI: 10.1016/j.neurobiolaging.2016.04.002] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 03/22/2016] [Accepted: 04/05/2016] [Indexed: 12/13/2022]
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Zhang Y, Simon-Vermot L, Araque Caballero MÁ, Gesierich B, Taylor ANW, Duering M, Dichgans M, Ewers M. Enhanced resting-state functional connectivity between core memory-task activation peaks is associated with memory impairment in MCI. Neurobiol Aging 2016; 45:43-49. [PMID: 27459924 DOI: 10.1016/j.neurobiolaging.2016.04.018] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 04/22/2016] [Accepted: 04/23/2016] [Indexed: 10/21/2022]
Abstract
Resting-state functional connectivity (FC) is altered in Alzheimer's disease (AD) but its predictive value for episodic memory impairment is debated. Here, we aimed to assess whether resting-state FC in core brain regions activated during memory-task functional magnetic resonance imaging is altered and predictive of memory performance in AD and amnestic mild cognitive impairment (aMCI). Twenty-three elderly cognitively healthy controls (HC), 76 aMCI subjects, and 19 AD dementia patients were included. We computed resting-state FC between 18 meta-analytically determined peak coordinates of brain activation during successful memory retrieval. Higher FC between the parahippocampus, parietal cortex, and the middle frontal gyrus was observed in both AD and mild cognitive impairment compared to HC (false-discovery rate-corrected p < 0.05). The increase in FC between the parahippocampus and middle frontal gyrus was associated with reduced episodic memory in aMCI, independent of amyloid-beta positron emission tomography binding and apolipoprotein E ε4-carrier status. In conclusion, increased parahippocampal-prefrontal FC is predictive of impaired episodic memory in aMCI and may reflect a dysfunctional change within the episodic memory-related neural network.
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Affiliation(s)
- Yifei Zhang
- Institute for Stroke and Dementia Research, Klinikum der Universität Muenchen, Ludwig-Maximilians-Universität LMU, Munich, Germany; Department of Management Science and Engineering, School of Management, Shanghai University, Shanghai, China.
| | - Lee Simon-Vermot
- Institute for Stroke and Dementia Research, Klinikum der Universität Muenchen, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Miguel Á Araque Caballero
- Institute for Stroke and Dementia Research, Klinikum der Universität Muenchen, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, Klinikum der Universität Muenchen, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Alexander N W Taylor
- Institute for Stroke and Dementia Research, Klinikum der Universität Muenchen, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität Muenchen, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität Muenchen, Ludwig-Maximilians-Universität LMU, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität Muenchen, Ludwig-Maximilians-Universität LMU, Munich, Germany.
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Gesierich B, Duchesnay E, Jouvent E, Chabriat H, Schmidt R, Mangin JF, Duering M, Dichgans M. Features and Determinants of Lacune Shape: Relationship With Fiber Tracts and Perforating Arteries. Stroke 2016; 47:1258-64. [PMID: 27048698 DOI: 10.1161/strokeaha.116.012779] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 03/04/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Lacunes are a major manifestation of cerebral small vessel disease. Although still debated, the morphological features of lacunes may offer mechanistic insights. We systematically analyzed the shape of incident lacunes in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, a genetically defined small vessel disease. METHODS A total of 88 incident lacunes from 57 patients were segmented from 3-dimensional T1 magnetic resonance images and 3 dimensionally reconstructed. Anatomic location, diameter, volume, surface area, and compactness of lacunes were assessed. The shape was analyzed using a size, orientation, and position invariant spectral shape descriptor. We further investigated the relationship with perforating arteries and fiber tracts. RESULTS Lacunes were most abundant in the centrum semiovale and the basal ganglia. Diameter, volume, and surface area of lacunes in the basal ganglia and centrum semiovale were larger than in other brain regions. The spectral shape descriptor revealed a continuum of shapes with no evidence for distinct classes of lacunes. Shapes varied mostly in elongation and planarity. The main axis and plane of lacunes were found to align with the orientation of perforating arteries but not with fiber tracts. CONCLUSIONS Elongation and planarity are the primary shape principles of lacunes. Their main axis and plane align with perforating arteries. Our findings add to current concepts on the mechanisms of lacunes.
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Affiliation(s)
- Benno Gesierich
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Edouard Duchesnay
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Eric Jouvent
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Hugues Chabriat
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Reinhold Schmidt
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Jean-Francois Mangin
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Marco Duering
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Martin Dichgans
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans).
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Papinutto N, Galantucci S, Mandelli ML, Gesierich B, Jovicich J, Caverzasi E, Henry RG, Seeley WW, Miller BL, Shapiro KA, Gorno-Tempini ML. Structural connectivity of the human anterior temporal lobe: A diffusion magnetic resonance imaging study. Hum Brain Mapp 2016; 37:2210-22. [PMID: 26945805 DOI: 10.1002/hbm.23167] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 02/10/2016] [Accepted: 02/21/2016] [Indexed: 11/07/2022] Open
Abstract
The anterior temporal lobes (ATL) have been implicated in a range of cognitive functions including auditory and visual perception, language, semantic knowledge, and social-emotional processing. However, the anatomical relationships between the ATLs and the broader cortical networks that subserve these functions have not been fully elucidated. Using diffusion tensor imaging (DTI) and probabilistic tractography, we tested the hypothesis that functional segregation of information in the ATLs is reflected by distinct patterns of structural connectivity to regions outside the ATLs. We performed a parcellation of the ATLs bilaterally based on the degree of connectivity of each voxel with eight ipsilateral target regions known to be involved in various cognitive networks. Six discrete segments within each ATL showed preferential connectivity to one of the ipsilateral target regions, via four major fiber tracts (uncinate, inferior longitudinal, middle longitudinal, and arcuate fasciculi). Two noteworthy interhemispheric differences were observed: connections between the ATL and orbito-frontal areas were stronger in the right hemisphere, while the consistency of the connection between the ATL and the inferior frontal gyrus through the arcuate fasciculus was greater in the left hemisphere. Our findings support the hypothesis that distinct regions within the ATLs have anatomical connections to different cognitive networks. Hum Brain Mapp 37:2210-2222, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Nico Papinutto
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Sebastiano Galantucci
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria Luisa Mandelli
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, Ludwig-Maximilians-University, Munich, Germany
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Eduardo Caverzasi
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Roland G Henry
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - William W Seeley
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Kevin A Shapiro
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
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Balbi M, Ghosh M, Longden TA, Jativa Vega M, Gesierich B, Hellal F, Lourbopoulos A, Nelson MT, Plesnila N. Dysfunction of mouse cerebral arteries during early aging. J Cereb Blood Flow Metab 2015; 35:1445-53. [PMID: 26058694 PMCID: PMC4640303 DOI: 10.1038/jcbfm.2015.107] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Revised: 04/22/2015] [Accepted: 04/23/2015] [Indexed: 11/09/2022]
Abstract
Aging leads to a gradual decline in the fidelity of cerebral blood flow (CBF) responses to neuronal activation, resulting in an increased risk for stroke and dementia. However, it is currently unknown when age-related cerebrovascular dysfunction starts or which vascular components and functions are first affected. The aim of this study was to examine the function of microcirculation throughout aging in mice. Microcirculation was challenged by inhalation of 5% and 10% CO2 or by forepaw stimulation in 6-week, 8-month, and 12-month-old FVB/N mice. The resulting dilation of pial vessels and increase in CBF was measured by intravital fluorescence microscopy and laser Doppler fluxmetry, respectively. Neurovascular coupling and astrocytic endfoot Ca(2+) were measured in acute brain slices from 18-month-old mice. We did not reveal any changes in CBF after CO2 reactivity up to an age of 12 months. However, direct visualization of pial vessels by in vivo microscopy showed a significant, age-dependent loss of CO2 reactivity starting at 8 months of age. At the same age neurovascular coupling was also significantly affected. These results suggest that aging does not affect cerebral vessel function simultaneously, but starts in pial microvessels months before global changes in CBF are detectable.
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Affiliation(s)
- Matilde Balbi
- Institute for Stroke and Dementia Research (ISD), University of Munich Medical Center, Munich, Germany.,Graduate School of Systemic Neurosciences (GSN), Ludwig-Maximilians University (LMU), Munich, Germany
| | - Mitrajit Ghosh
- Institute for Stroke and Dementia Research (ISD), University of Munich Medical Center, Munich, Germany
| | - Thomas A Longden
- Department of Pharmacology, University of Vermont, Burlington, Vermont, USA
| | - Max Jativa Vega
- Graduate School of Systemic Neurosciences (GSN), Ludwig-Maximilians University (LMU), Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University of Munich Medical Center, Munich, Germany
| | - Farida Hellal
- Institute for Stroke and Dementia Research (ISD), University of Munich Medical Center, Munich, Germany
| | - Athanasios Lourbopoulos
- Institute for Stroke and Dementia Research (ISD), University of Munich Medical Center, Munich, Germany
| | - Mark T Nelson
- Department of Pharmacology, University of Vermont, Burlington, Vermont, USA
| | - Nikolaus Plesnila
- Institute for Stroke and Dementia Research (ISD), University of Munich Medical Center, Munich, Germany.,Graduate School of Systemic Neurosciences (GSN), Ludwig-Maximilians University (LMU), Munich, Germany.,Cluster of Systems Neurology (Synergy), Munich, Germany
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Taylor AN, Kambeitz-Ilankovic L, Gesierich B, Simon-Vermot L, Araque Caballero MÁ, Müller S, Heshung L, Ertle-Wagner B, Buerger K, Weiner MW, Dichgans M, Duering M, Ewers M. O1‐08‐04: Tract‐specific white matter hyperintensities disrupt the default mode network in Alzheimer's disease. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.07.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
| | | | | | | | | | | | - Liu Heshung
- Athinoula A. Martinos Center for Biomedical ImagingHarvard Medical SchoolCharlestownMAUSA
| | | | | | | | | | - Marco Duering
- Institute for Stroke and Dementia ResearchMünchenGermany
| | - Michael Ewers
- Institute for Stroke and Dementia ResearchMünchenGermany
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Simon-Vermot L, Zhang Y, Araque Caballero MÁ, Gesierich B, Kambeitz-Ilankovic L, Brendel M, Rominger A, Bartenstein P, Duering M, Ewers M. P2‐146: Temporo‐parietal hypometabolism is associated with reduced functional connectivity of the default mode network in prodromal Alzheimer's disease. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
| | - Yifei Zhang
- Institute for Stroke and Dementia ResearchMünchenGermany
- Shanghai UniversityShanghaiChina
| | | | | | | | | | - Axel Rominger
- Nuclear MedicineLudwig-Maximilian UniversityMunichGermany
| | | | - Marco Duering
- Institute for Stroke and Dementia ResearchMünchenGermany
| | - Michael Ewers
- Institute for Stroke and Dementia ResearchMünchenGermany
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Taylor AN, Kambeitz-Ilankovic L, Gesierich B, Simon-Vermot L, Caballero MÁA, Müller S, Heshung L, Ertle-Wagner B, Buerger K, Weiner MW, Dichgans M, Duering M, Ewers M. IC‐P‐094: Tract‐specific white matter hyperintensities disrupt the default mode network in Alzheimer's disease. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
| | | | | | | | | | | | - Liu Heshung
- Athinoula A. Martinos Center for Biomedical ImagingHarvard Medical SchoolCharlestownMAUSA
| | | | | | | | | | - Marco Duering
- Institute for Stroke and Dementia ResearchMünchenGermany
| | - Michael Ewers
- Institute for Stroke and Dementia ResearchMünchenGermany
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Zhang Y, Caballero MÁA, Gesierich B, Taylor AN, Simon-Vermot L, Ewers M. P3‐161: Increased resting state functional connectivity associated with episodic memory impairment in mild cognitive impairment. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.1532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yifei Zhang
- Institute for Stroke and Dementia ResearchMünchenGermany
- Shanghai UniversityShanghaiChina
| | | | | | | | | | - Michael Ewers
- Institute for Stroke and Dementia ResearchMünchenGermany
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Zhang Y, Caballero MÁA, Gesierich B, Taylor AN, Simon-Vermot L, Ewers M. IC‐P‐095: Increased resting state functional connectivity associated with episodic memory impairment in mild cognitive impairment. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Yifei Zhang
- Shanghai UniversityShanghaiChina
- Institute for Stroke and Dementia ResearchMünchenGermany
| | | | | | | | | | - Michael Ewers
- Institute for Stroke and Dementia ResearchMünchenGermany
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Duering M, Righart R, Wollenweber FA, Zietemann V, Gesierich B, Dichgans M. Acute infarcts cause focal thinning in remote cortex via degeneration of connecting fiber tracts. Neurology 2015; 84:1685-92. [PMID: 25809303 DOI: 10.1212/wnl.0000000000001502] [Citation(s) in RCA: 138] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Accepted: 01/14/2015] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To study remote effects distant from acute ischemic infarcts by measuring longitudinal changes of cortical thickness in connected brain regions as well as changes in microstructural integrity in connecting fiber tracts. METHODS Thirty-two patients (mean age 71 years) underwent a standardized protocol including multimodal MRI and clinical assessment both at stroke onset and 6 months after the event. Cortex connected to acute infarcts was identified by probabilistic diffusion tensor tractography starting from the acute lesion. Changes of cortical thickness were measured using the longitudinal stream of FreeSurfer. Microstructural damage in white matter tracts was assessed by changes of mean diffusivity. RESULTS We found focal cortical thinning specifically in areas connected to acute infarcts (p < 0.001). Thinning was more pronounced in regions showing a high probability of connectivity to infarcts. Microstructural damage in white matter tracts connecting acute infarcts with distant cortex significantly correlated with thickness changes in that region (ρ = -0.39, p = 0.028). There was no indication of an influence of cavitation status or infarct etiology on the observed changes in cortex and white matter. CONCLUSIONS These findings identify secondary degeneration of connected white matter tracts and remote cortex as key features of acute ischemic infarcts. Our observations may have implications for the understanding of structural and functional reorganization after stroke.
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Affiliation(s)
- Marco Duering
- From the Institute for Stroke and Dementia Research (M.D., R.R., F.A.W., V.Z., B.G., M.D.), Klinikum der Universität München, Ludwig-Maximilians University, Munich; German Center for Neurodegenerative Diseases (DZNE, Munich) (R.R., M.D.), Munich; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Munich, Germany. R.R. is currently with the Department of Neurology, Technische Universität München, Munich, Germany
| | - Ruthger Righart
- From the Institute for Stroke and Dementia Research (M.D., R.R., F.A.W., V.Z., B.G., M.D.), Klinikum der Universität München, Ludwig-Maximilians University, Munich; German Center for Neurodegenerative Diseases (DZNE, Munich) (R.R., M.D.), Munich; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Munich, Germany. R.R. is currently with the Department of Neurology, Technische Universität München, Munich, Germany
| | - Frank Arne Wollenweber
- From the Institute for Stroke and Dementia Research (M.D., R.R., F.A.W., V.Z., B.G., M.D.), Klinikum der Universität München, Ludwig-Maximilians University, Munich; German Center for Neurodegenerative Diseases (DZNE, Munich) (R.R., M.D.), Munich; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Munich, Germany. R.R. is currently with the Department of Neurology, Technische Universität München, Munich, Germany
| | - Vera Zietemann
- From the Institute for Stroke and Dementia Research (M.D., R.R., F.A.W., V.Z., B.G., M.D.), Klinikum der Universität München, Ludwig-Maximilians University, Munich; German Center for Neurodegenerative Diseases (DZNE, Munich) (R.R., M.D.), Munich; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Munich, Germany. R.R. is currently with the Department of Neurology, Technische Universität München, Munich, Germany
| | - Benno Gesierich
- From the Institute for Stroke and Dementia Research (M.D., R.R., F.A.W., V.Z., B.G., M.D.), Klinikum der Universität München, Ludwig-Maximilians University, Munich; German Center for Neurodegenerative Diseases (DZNE, Munich) (R.R., M.D.), Munich; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Munich, Germany. R.R. is currently with the Department of Neurology, Technische Universität München, Munich, Germany
| | - Martin Dichgans
- From the Institute for Stroke and Dementia Research (M.D., R.R., F.A.W., V.Z., B.G., M.D.), Klinikum der Universität München, Ludwig-Maximilians University, Munich; German Center for Neurodegenerative Diseases (DZNE, Munich) (R.R., M.D.), Munich; and Munich Cluster for Systems Neurology (SyNergy) (M.D.), Munich, Germany. R.R. is currently with the Department of Neurology, Technische Universität München, Munich, Germany.
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