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Siddiqi SH, Philip NS, Palm ST, Carreon DM, Arulpragasam AR, Barredo J, Bouchard H, Ferguson MA, Grafman JH, Morey RA, Fox MD. A potential target for noninvasive neuromodulation of PTSD symptoms derived from focal brain lesions in veterans. Nat Neurosci 2024:10.1038/s41593-024-01772-7. [PMID: 39317797 DOI: 10.1038/s41593-024-01772-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 08/26/2024] [Indexed: 09/26/2024]
Abstract
Neuromodulation trials for the treatment of posttraumatic stress disorder (PTSD) have yielded mixed results, and the optimal neuroanatomical target remains unclear. Here we analyzed three datasets to study brain circuitry causally linked to PTSD in military veterans. In veterans with penetrating traumatic brain injury, lesion locations that reduced probability of PTSD were preferentially connected to a circuit including the medial prefrontal cortex, amygdala and anterolateral temporal lobe. In veterans without lesions, PTSD was specifically associated with increased connectivity within this circuit. Reduced functional connectivity within this circuit after transcranial magnetic stimulation correlated with symptom reduction, even though the circuit was not directly targeted. This lesion-based 'PTSD circuit' may serve as a target for clinical trials of neuromodulation in veterans with PTSD.
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Affiliation(s)
- Shan H Siddiqi
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Psychiatry, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
| | - Noah S Philip
- Center for Neurorestoration and Neurotechnology, Providence VA Healthcare System, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Stephan T Palm
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Amanda R Arulpragasam
- Center for Neurorestoration and Neurotechnology, Providence VA Healthcare System, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Jennifer Barredo
- Center for Neurorestoration and Neurotechnology, Providence VA Healthcare System, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Heather Bouchard
- Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA
- Department of Psychiatry, Durham VA Medical Center, Durham, NC, USA
| | - Michael A Ferguson
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Mass General Brigham, Harvard Medical School, Boston, MA, USA
| | - Jordan H Grafman
- Departments of Physical Medicine and Rehabilitation, Northwestern Feinberg School of Medicine, Chicago, IL, USA
- Department of Neurology, Northwestern Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern Feinberg School of Medicine, Chicago, IL, USA
- Shirley Ryan AbilityLab, Chicago, IL, USA
| | - Rajendra A Morey
- Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA
- Department of Psychiatry, Durham VA Medical Center, Durham, NC, USA
| | - Michael D Fox
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Mass General Brigham, Harvard Medical School, Boston, MA, USA
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2
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Bradshaw JL, Wilson EN, Mabry S, Shrestha P, Gardner JJ, Cunningham RL. Impact of sex and hypoxia on brain region-specific expression of membrane androgen receptor AR45 in rats. Front Endocrinol (Lausanne) 2024; 15:1420144. [PMID: 39092288 PMCID: PMC11291194 DOI: 10.3389/fendo.2024.1420144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 07/05/2024] [Indexed: 08/04/2024] Open
Abstract
Background Sex differences in oxidative stress-associated cognitive decline are influenced by sex hormone levels. Notably, oxidative stress-associated neuronal cell death can be exacerbated through testosterone signaling via membrane androgen receptor AR45, which is complexed with G protein Gαq within plasma membrane-associated lipid rafts. The objective of this study was to elucidate the impact of sex on the expression of AR45 and Gαq in brain regions associated with cognitive function, specifically hippocampus subregions and entorhinal cortex. Additionally, we investigated whether chronic intermittent hypoxia (CIH), an oxidative stressor with sex-specific effects, would modulate AR45 and Gαq expression in these brain regions. Methods Adult male and female Sprague-Dawley rats were exposed to CIH or normoxia (room air) during their sleep phase for 14 days. We quantified AR45 and Gαq protein expression in various cognition-associated brain regions [dorsal hippocampal CA1, CA3, dentate gyrus (DG), and entorhinal cortex (ETC)] via western blotting. For comparisons, AR45 and Gαq protein expression were also assessed in brain regions outside the hippocampal-ETC circuit [thalamus (TH) and striatum (STR)]. Results The highest AR45 levels were expressed in the hippocampal CA1 and DG while the lowest expression was observed in the extrahippocampal STR. The highest Gαq levels were expressed in the hippocampal-associated ETC while the lowest expression was observed in the extrahippocampal TH. Females expressed higher levels of AR45 in the hippocampal DG compared to males, while no sex differences in Gαq expression were observed regardless of brain region assessed. Moreover, there was no effect of CIH on AR45 or Gαq expression in any of the brain regions examined. AR45 expression was positively correlated with Gαq expression in the CA1, DG, ETC, TH, and STR in a sex-dependent manner. Conclusion Our findings reveal enrichment of AR45 and Gαq protein expression within the hippocampal-ETC circuit, which is vulnerable to oxidative stress and neurodegeneration during cognitive decline. Nonetheless, CIH does not modulate the expression of AR45 or Gαq. Importantly, there are sex differences in AR45 expression and its association with Gαq expression in various brain regions, which may underlie sex-specific differences in cognitive and motor function-associated declines with aging.
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Affiliation(s)
- Jessica L. Bradshaw
- Department of Pharmaceutical Sciences, University of North Texas (UNT) System College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - E. Nicole Wilson
- Department of Pharmaceutical Sciences, University of North Texas (UNT) System College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Steve Mabry
- Department of Pharmaceutical Sciences, University of North Texas (UNT) System College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Pawan Shrestha
- Department of Pharmaceutical Sciences, University of North Texas (UNT) System College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, United States
- North Texas Eye Research Institute, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Jennifer J. Gardner
- Department of Pharmaceutical Sciences, University of North Texas (UNT) System College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Rebecca L. Cunningham
- Department of Pharmaceutical Sciences, University of North Texas (UNT) System College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, United States
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Sheehan J, Trifiletti D, Keole S. Unlocking the Power of Connectomes for Image-Guided Cranial Interventions. Int J Radiat Oncol Biol Phys 2024; 119:1133-1136. [PMID: 38925767 DOI: 10.1016/j.ijrobp.2023.12.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/15/2023] [Accepted: 12/31/2023] [Indexed: 06/28/2024]
Affiliation(s)
- Jason Sheehan
- Department of Neurosurgery, University of Virginia, Charlottesville, Virginia.
| | - Daniel Trifiletti
- Department of Radiation Oncology, Mayo Clinic Florida, Jacksonville, Florida
| | - Sameer Keole
- Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona
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Heywood A, Stocks J, Schneider JA, Arfanakis K, Bennett DA, Beg MF, Wang L. In vivo effect of LATE-NC on integrity of white matter connections to the hippocampus. Alzheimers Dement 2024; 20:4401-4410. [PMID: 38877688 PMCID: PMC11247713 DOI: 10.1002/alz.13808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/20/2024] [Accepted: 02/25/2024] [Indexed: 06/16/2024]
Abstract
INTRODUCTION TAR DNA-binding protein 43 (TDP-43) is a highly prevalent proteinopathy that is involved in neurodegenerative processes, including axonal damage. To date, no ante mortem biomarkers exist for TDP-43, and few studies have directly assessed its impact on neuroimaging measures utilizing pathologic quantification. METHODS Ante mortem diffusion-weighted images were obtained from community-dwelling older adults. Regression models calculated the relationship between post mortem TDP-43 burden and ante mortem fractional anisotropy (FA) within each voxel in connection with the hippocampus, controlling for coexisting Alzheimer's disease and demographics. RESULTS Results revealed a significant negative relationship (false discovery rate [FDR] corrected p < .05) between post mortem TDP-43 and ante mortem FA in one cluster within the left medial temporal lobe connecting to the parahippocampal cortex, entorhinal cortex, and cingulate, aligning with the ventral subdivision of the cingulum. FA within this cluster was associated with cognition. DISCUSSION Greater TDP-43 burden is associated with lower FA within the limbic system, which may contribute to impairment in learning and memory. HIGHLIGHTS Post mortem TDP-43 pathological burden is associated with reduced ante mortem fractional anisotropy. Reduced FA located in the parahippocampal portion of the cingulum. FA in this area was associated with reduced episodic and semantic memory. FA in this area was associated with increased inward hippocampal surface deformation.
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Affiliation(s)
- Ashley Heywood
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jane Stocks
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Department of Pathology, Rush University Medical Center, Chicago, Illinois, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Suite, Chicago, Illinois, USA
- Department of Diagnostic Radiology, Rush University Medical Center, Chicago, Illinois, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Mirza Faisal Beg
- Simon Fraser University, School of Engineering Science, 8888 University Drive, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Psychiatry and Behavioral Health, Ohio State University College of Medicine, Columbus, Ohio, USA
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5
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Attaallah B, Petitet P, Zambellas R, Toniolo S, Maio MR, Ganse-Dumrath A, Irani SR, Manohar SG, Husain M. The role of the human hippocampus in decision-making under uncertainty. Nat Hum Behav 2024; 8:1366-1382. [PMID: 38684870 PMCID: PMC11272595 DOI: 10.1038/s41562-024-01855-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 02/29/2024] [Indexed: 05/02/2024]
Abstract
The role of the hippocampus in decision-making is beginning to be more understood. Because of its prospective and inferential functions, we hypothesized that it might be required specifically when decisions involve the evaluation of uncertain values. A group of individuals with autoimmune limbic encephalitis-a condition known to focally affect the hippocampus-were tested on how they evaluate reward against uncertainty compared to reward against another key attribute: physical effort. Across four experiments requiring participants to make trade-offs between reward, uncertainty and effort, patients with acute limbic encephalitis demonstrated blunted sensitivity to reward and effort whenever uncertainty was considered, despite demonstrating intact uncertainty sensitivity. By contrast, the valuation of these two attributes (reward and effort) was intact on uncertainty-free tasks. Reduced sensitivity to changes in reward under uncertainty correlated with the severity of hippocampal damage. Together, these findings provide evidence for a context-sensitive role of the hippocampus in value-based decision-making, apparent specifically under conditions of uncertainty.
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Affiliation(s)
- Bahaaeddin Attaallah
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
| | - Pierre Petitet
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Rhea Zambellas
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Sofia Toniolo
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Maria Raquel Maio
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Akke Ganse-Dumrath
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Sarosh R Irani
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Sanjay G Manohar
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Masud Husain
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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White TA, Miller SL, Sutherland AE, Allison BJ, Camm EJ. Perinatal compromise affects development, form, and function of the hippocampus part one; clinical studies. Pediatr Res 2024; 95:1698-1708. [PMID: 38519794 PMCID: PMC11245394 DOI: 10.1038/s41390-024-03105-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/30/2024] [Accepted: 02/05/2024] [Indexed: 03/25/2024]
Abstract
The hippocampus is a neuron-rich specialised brain structure that plays a central role in the regulation of emotions, learning and memory, cognition, spatial navigation, and motivational processes. In human fetal development, hippocampal neurogenesis is principally complete by mid-gestation, with subsequent maturation comprising dendritogenesis and synaptogenesis in the third trimester of pregnancy and infancy. Dendritogenesis and synaptogenesis underpin connectivity. Hippocampal development is exquisitely sensitive to perturbations during pregnancy and at birth. Clinical investigations demonstrate that preterm birth, fetal growth restriction (FGR), and acute hypoxic-ischaemic encephalopathy (HIE) are common perinatal complications that alter hippocampal development. In turn, deficits in hippocampal development and structure mediate a range of neurodevelopmental disorders, including cognitive and learning problems, autism, and Attention-Deficit/Hyperactivity Disorder (ADHD). In this review, we summarise the developmental profile of the hippocampus during fetal and neonatal life and examine the hippocampal deficits observed following common human pregnancy complications. IMPACT: The review provides a comprehensive summary of the developmental profile of the hippocampus in normal fetal and neonatal life. We address a significant knowledge gap in paediatric research by providing a comprehensive summary of the relationship between pregnancy complications and subsequent hippocampal damage, shedding new light on this critical aspect of early neurodevelopment.
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Affiliation(s)
- Tegan A White
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia.
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia.
| | - Suzanne L Miller
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia
| | - Amy E Sutherland
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia
| | - Beth J Allison
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia
| | - Emily J Camm
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia.
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia.
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Bosque Varela P, Tabaee Damavandi P, Machegger L, Prüwasser T, Zimmermann G, Oellerer A, Steinbacher J, McCoy M, Pfaff J, Trinka E, Kuchukhidze G. Magnetic resonance imaging fingerprints of status epilepticus: A case-control study. Epilepsia 2024; 65:1620-1630. [PMID: 38507291 DOI: 10.1111/epi.17949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/22/2024]
Abstract
OBJECTIVE Status epilepticus (SE) is frequently associated with peri-ictal magnetic resonance imaging (MRI) abnormalities (PMA). However, the anatomical distribution of these alterations has not been systematically studied. The aim of this study was to assess the localization patterns of PMA in patients with SE. METHODS In this prospective case-control study, we compared the distribution and combinations of diffusion-restricted PMA to diffusion-restricted lesions caused by other neurological conditions. All patients of the SE group and the control group underwent MRI including a diffusion-weighted imaging sequence. Patients with SE were imaged within 48 h after its onset. RESULTS We enrolled 201 patients (51 with SE and 150 controls). The most frequent locations of PMA in SE were cortex (25/51, 49%), followed by hippocampus (20/51, 39%) and pulvinar of thalamus (10/51, 20%). In the control group, the cortex was involved in 80 of 150 (53%), white matter in 53 of 150 (35%), and basal ganglia in 33 of 150 (22%). In the control group, the pulvinar of thalamus was never affected and hippocampal structures were rarely involved (7/150, 5%). Involvement of the pulvinar of thalamus and the hippocampus had high specificity for SE at 100% (95% confidence interval [CI] = 98-100) and 95% (95% CI = 91-98), respectively. The sensitivity, however, was low for both locations (pulvinar of thalamus: 20%, 95% CI = 10-33; hippocampus: 39%, 95% CI = 26-54). SIGNIFICANCE Diffusion-restricted MRI lesions observed in the pulvinar of thalamus and hippocampus are strongly associated with SE. These changes may help physicians in diagnosing SE-related changes on MRI in an acute setting, especially in cases of equivocal clinical and electroencephalographic manifestations of SE.
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Affiliation(s)
- Pilar Bosque Varela
- Department of Neurology, Christian Doppler University Hospital, member of the European Reference Network EpiCARE, Center for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Payam Tabaee Damavandi
- Department of Neurology, Christian Doppler University Hospital, member of the European Reference Network EpiCARE, Center for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Salzburg, Austria
- Department of Neurology, Fondazione IRCCS San Gerardo dei Tintori, School of Medicine and Surgery, Milan Center for Neuroscience, University of Milano-Bicocca, Monza, Italy
| | - Lukas Machegger
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Tanja Prüwasser
- Department of Neurology, Christian Doppler University Hospital, member of the European Reference Network EpiCARE, Center for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Salzburg, Austria
- Department of Mathematics, Paris-Lodron University, Salzburg, Austria
| | - Georg Zimmermann
- Department of Mathematics, Paris-Lodron University, Salzburg, Austria
- Team Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University, Salzburg, Austria
- Research and Innovation Management, Paracelsus Medical University, Salzburg, Austria
| | - Andreas Oellerer
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Jürgen Steinbacher
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Mark McCoy
- Department of Neurology, Christian Doppler University Hospital, member of the European Reference Network EpiCARE, Center for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Salzburg, Austria
- Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria
| | - Johannes Pfaff
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University of Salzburg, Salzburg, Austria
| | - Eugen Trinka
- Department of Neurology, Christian Doppler University Hospital, member of the European Reference Network EpiCARE, Center for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Salzburg, Austria
- Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria
- Karl Landsteiner Institute for Neurorehabilitation and Space Neurology, Salzburg, Austria
| | - Giorgi Kuchukhidze
- Department of Neurology, Christian Doppler University Hospital, member of the European Reference Network EpiCARE, Center for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Salzburg, Austria
- Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria
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Reiter JT, Schulte F, Bauer T, David B, Endler C, Isaak A, Schuch F, Bitzer F, Witt JA, Hattingen E, Deichmann R, Attenberger U, Becker AJ, Helmstaedter C, Radbruch A, Surges R, Friedman A, Rüber T. Evidence for interictal blood-brain barrier dysfunction in people with epilepsy. Epilepsia 2024; 65:1462-1474. [PMID: 38436479 DOI: 10.1111/epi.17929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 02/11/2024] [Accepted: 02/12/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Interictal blood-brain barrier dysfunction in chronic epilepsy has been demonstrated in animal models and pathological specimens. Ictal blood-brain barrier dysfunction has been shown in humans in vivo using an experimental quantitative magnetic resonance imaging (MRI) protocol. Here, we hypothesized that interictal blood-brain barrier dysfunction is also present in people with drug-resistant epilepsy. METHODS Thirty-nine people (21 females, mean age at MRI ± SD = 30 ± 8 years) with drug-resistant epilepsy were prospectively recruited and underwent interictal T1-relaxometry before and after administration of a paramagnetic contrast agent. Likewise, quantitative T1 was acquired in 29 people without epilepsy (12 females, age at MRI = 48 ± 18 years). Quantitative T1 difference maps were calculated and served as a surrogate imaging marker for blood-brain barrier dysfunction. Values of quantitative T1 difference maps inside hemispheres ipsilateral to the presumed seizure onset zone were then compared, on a voxelwise level and within presumed seizure onset zones, to the contralateral side of people with epilepsy and to people without epilepsy. RESULTS Compared to the contralateral side, ipsilateral T1 difference values were significantly higher in white matter (corrected p < .05), gray matter (uncorrected p < .05), and presumed seizure onset zones (p = .04) in people with epilepsy. Compared to people without epilepsy, significantly higher T1 difference values were found in the anatomical vicinity of presumed seizure onset zones (p = .004). A subgroup of people with hippocampal sclerosis demonstrated significantly higher T1 difference values in the ipsilateral hippocampus and in regions strongly interconnected with the hippocampus compared to people without epilepsy (corrected p < .01). Finally, z-scores reflecting the deviation of T1 difference values within the presumed seizure onset zone were associated with verbal memory performance (p = .02) in people with temporal lobe epilepsy. SIGNIFICANCE Our results indicate a blood-brain barrier dysfunction in drug-resistant epilepsy that is detectable interictally in vivo, anatomically related to the presumed seizure onset zone, and associated with cognitive deficits.
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Affiliation(s)
- Johannes T Reiter
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Freya Schulte
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Tobias Bauer
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Bastian David
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Christoph Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Fabiane Schuch
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Felix Bitzer
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | | | - Elke Hattingen
- Institute of Neuroradiology, University Hospital and Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ralf Deichmann
- Brain Imaging Center, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Albert J Becker
- Department of Neuropathology, University Hospital Bonn, Bonn, Germany
| | | | | | - Rainer Surges
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Alon Friedman
- Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
- Departments of Cognitive and Brain Sciences, Physiology, and Cell Biology, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Theodor Rüber
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
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Yadav N, Toader A, Rajasethupathy P. Beyond hippocampus: Thalamic and prefrontal contributions to an evolving memory. Neuron 2024; 112:1045-1059. [PMID: 38272026 DOI: 10.1016/j.neuron.2023.12.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/07/2023] [Accepted: 12/22/2023] [Indexed: 01/27/2024]
Abstract
The hippocampus has long been at the center of memory research, and rightfully so. However, with emerging technological capabilities, we can increasingly appreciate memory as a more dynamic and brain-wide process. In this perspective, our goal is to begin developing models to understand the gradual evolution, reorganization, and stabilization of memories across the brain after their initial formation in the hippocampus. By synthesizing studies across the rodent and human literature, we suggest that as memory representations initially form in hippocampus, parallel traces emerge in frontal cortex that cue memory recall, and as they mature, with sustained support initially from limbic then diencephalic then cortical circuits, they become progressively independent of hippocampus and dependent on a mature cortical representation. A key feature of this model is that, as time progresses, memory representations are passed on to distinct circuits with progressively longer time constants, providing the opportunity to filter, forget, update, or reorganize memories in the process of committing to long-term storage.
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Affiliation(s)
- Nakul Yadav
- Laboratory of Neural Dynamics & Cognition, The Rockefeller University, New York, NY, USA
| | - Andrew Toader
- Laboratory of Neural Dynamics & Cognition, The Rockefeller University, New York, NY, USA
| | - Priya Rajasethupathy
- Laboratory of Neural Dynamics & Cognition, The Rockefeller University, New York, NY, USA.
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10
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Siddiqi S, Philip NS, Palm S, Arulpragasam A, Barredo J, Bouchard H, Ferguson M, Grafman J, Morey R, Fox M, Carreon D. A potential neuromodulation target for PTSD in Veterans derived from focal brain lesions. RESEARCH SQUARE 2024:rs.3.rs-3132332. [PMID: 38562753 PMCID: PMC10984085 DOI: 10.21203/rs.3.rs-3132332/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Neuromodulation trials for PTSD have yielded mixed results, and the optimal neuroanatomical target remains unclear. We analyzed three datasets to study brain circuitry causally linked to PTSD in military Veterans. After penetrating traumatic brain injury (n=193), lesions that reduced probability of PTSD were preferentially connected to a circuit including the medial prefrontal cortex (mPFC), amygdala, and anterolateral temporal lobe (cross-validation p=0.01). In Veterans without lesions (n=180), PTSD was specifically associated with connectivity within this circuit (p<0.01). Connectivity change within this circuit correlated with PTSD improvement after transcranial magnetic stimulation (TMS) (n=20) (p<0.01), even though the circuit was not directly targeted. Finally, we directly targeted this circuit with fMRI-guided accelerated TMS, leading to rapid resolution of symptoms in a patient with severe lifelong PTSD. All results were independent of depression severity. This lesion-based PTSD circuit may serve as a neuromodulation target for Veterans with PTSD.
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Affiliation(s)
- Shan Siddiqi
- Harvard Medical School, Brigham & Women's Hospital
| | - Noah S Philip
- Alpert Medical School of Brown University, Center for Neurorestoration and Neurotechnology, Providence VA Medical Center
| | | | | | | | | | | | | | | | - Michael Fox
- Brigham and Women's Hospital, Harvard Medical School
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Guerrero-Gonzalez JM, Kirk GR, Birn R, Bigler ED, Bowen K, Broman AT, Rosario BL, Butt W, Beers SR, Bell MJ, Alexander AL, Ferrazzano PA. Multi-modal MRI of hippocampal morphometry and connectivity after pediatric severe TBI. Brain Imaging Behav 2024; 18:159-170. [PMID: 37955810 PMCID: PMC10844146 DOI: 10.1007/s11682-023-00818-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/22/2023] [Indexed: 11/14/2023]
Abstract
This investigation explores memory performance using the California Verbal Learning Test in relation to morphometric and connectivity measures of the memory network in severe traumatic brain injury. Twenty-two adolescents with severe traumatic brain injury were recruited for multimodal MRI scanning 1-2 years post-injury at 13 participating sites. Analyses included hippocampal volume derived from anatomical T1-weighted imaging, fornix white matter microstructure from diffusion tensor imaging, and hippocampal resting-state functional magnetic resonance imaging connectivity as well as diffusion-based structural connectivity. A typically developing control cohort of forty-nine age-matched children also underwent scanning and neurocognitive assessment. Results showed hippocampus volume was decreased in traumatic brain injury with respect to controls. Further, hippocampal volume loss was associated with worse performance on memory and learning in traumatic brain injury subjects. Similarly, hippocampal fornix fractional anisotropy was reduced in traumatic brain injury with respect to controls, while decreased fractional anisotropy in the hippocampal fornix also was associated with worse performance on memory and learning in traumatic brain injury subjects. Additionally, reduced structural connectivity of left hippocampus to thalamus and calcarine sulcus was associated with memory and learning in traumatic brain injury subjects. Functional connectivity in the left hippocampal network was also associated with memory and learning in traumatic brain injury subjects. These regional findings from a multi-modal neuroimaging approach should not only be useful for gaining valuable insight into traumatic brain injury induced memory and learning disfunction, but may also be informative for monitoring injury progression, recovery, and for developing rehabilitation as well as therapy strategies.
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Affiliation(s)
- Jose M Guerrero-Gonzalez
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI, 53705, USA.
| | - Gregory R Kirk
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI, 53705, USA
| | - Rasmus Birn
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Erin D Bigler
- Department of Psychology and Neuroscience Center, Brigham Young University, Provo, UT, USA
- Department of Neurology & Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | | | - Aimee T Broman
- Department of Biostatistics, University of Wisconsin-Madison, Madison, WI, USA
| | - Bedda L Rosario
- Department of Epidemiology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Warwick Butt
- Department of Critical Care, Faculty of Medicine, Melbourne University, Melbourne, Australia
| | - Sue R Beers
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael J Bell
- Department of Pediatrics, Children's National Medical Center, Washington, DC, USA
| | - Andrew L Alexander
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI, 53705, USA
| | - Peter A Ferrazzano
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI, 53705, USA
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12
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Wang Q, Schindler SE, Chen G, Mckay NS, McCullough A, Flores S, Liu J, Sun Z, Wang S, Wang W, Hassenstab J, Cruchaga C, Perrin RJ, Fagan AM, Morris JC, Wang Y, Benzinger TLS. Investigating White Matter Neuroinflammation in Alzheimer Disease Using Diffusion-Based Neuroinflammation Imaging. Neurology 2024; 102:e208013. [PMID: 38315956 PMCID: PMC10890836 DOI: 10.1212/wnl.0000000000208013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 10/13/2023] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Alzheimer disease (AD) is primarily associated with accumulations of amyloid plaques and tau tangles in gray matter, however, it is now acknowledged that neuroinflammation, particularly in white matter (WM), significantly contributes to the development and progression of AD. This study aims to investigate WM neuroinflammation in the continuum of AD and its association with AD pathologies and cognition using diffusion-based neuroinflammation imaging (NII). METHODS This is a cross-sectional, single-center, retrospective evaluation conducted on an observational study of 310 older research participants who were enrolled in the Knight Alzheimer's Disease Research Center cohort. Hindered water ratio (HR), an index of WM neuroinflammation, was quantified by a noninvasive diffusion MRI method, NII. The alterations of NII-HR were investigated at different AD stages, classified based on CSF concentrations of β-amyloid (Aβ) 42/Aβ40 for amyloid and phosphorylated tau181 (p-tau181) for tau. On the voxel and regional levels, the relationship between NII-HR and CSF markers of amyloid, tau, and neuroinflammation were examined, as well as cognition. RESULTS This cross-sectional study included 310 participants (mean age 67.1 [±9.1] years), with 52 percent being female. Subgroups included 120 individuals (38.7%) with CSF measures of soluble triggering receptor expressed on myeloid cells 2, 80 participants (25.8%) with CSF measures of chitinase-3-like protein 1, and 110 individuals (35.5%) with longitudinal cognitive measures. The study found that cognitively normal individuals with positive CSF Aβ42/Aβ40 and p-tau181 had higher HR than healthy controls and those with positive CSF Aβ42/Aβ40 but negative p-tau181. WM tracts with elevated NII-HR in individuals with positive CSF Aβ42/Aβ40 and p-tau181 were primarily located in the posterior brain regions while those with elevated NII-HR in individuals with positive CSF Aβ42/Aβ40 and p-tau181 connected the posterior and anterior brain regions. A significant negative correlation between NII-HR and CSF Aβ42/Aβ40 was found in individuals with positive CSF Aβ42/Aβ40. Baseline NII-HR correlated with baseline cognitive composite score and predicted longitudinal cognitive decline. DISCUSSION Those findings suggest that WM neuroinflammation undergoes alterations before the onset of AD clinical symptoms and that it interacts with amyloidosis. This highlights the potential value of noninvasive monitoring of WM neuroinflammation in AD progression and treatment.
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Affiliation(s)
- Qing Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Suzanne E Schindler
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Gengsheng Chen
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Nicole S Mckay
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Austin McCullough
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Shaney Flores
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Jingxia Liu
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Zhexian Sun
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Sicheng Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Wenshang Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Jason Hassenstab
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Carlos Cruchaga
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Richard J Perrin
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Anne M Fagan
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - John C Morris
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Yong Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Tammie L S Benzinger
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., N.S.M., A.M., S.F., Y.W., T.L.S.B.), Knight Alzheimer Disease Research Center (Q.W., S.E.S., G.C., N.S.M., A.M., J.H., R.J.P., A.M.F., J.C.M., T.L.S.B.), Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Department of Surgery (J.L.), Department of Biomedical Engineering (Z.S.), Department of Electrical and System Engineering (S.W., W.W., Y.W.), Department of Psychiatry (C.C.), Department of Pathology & Immunology (R.J.P.), Department of Obstetrics & Gynecology (Y.W.), and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
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13
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Ragguett RM, Eagleson R, de Ribaupierre S. Association between altered white matter networks and post operative ventricle volume in shunt-treated pediatric hydrocephalus. Brain Res Bull 2024; 206:110847. [PMID: 38103800 DOI: 10.1016/j.brainresbull.2023.110847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/26/2023] [Accepted: 12/12/2023] [Indexed: 12/19/2023]
Abstract
OBJECTIVE The objective of this study was to use probabilistic tractography in combination with white matter microstructure metrics to characterize differences in white matter networks between shunt-treated pediatric hydrocephalus patients relative to healthy controls. We were also able to explore the relationship between these white matter networks and postoperative ventricle volume. METHODS Network-based statistics was used in combination with whole-brain probabilistic tractography to determine dysregulated white matter networks in a sample of patients with pediatric hydrocephalus (n = 8), relative to controls (n = 36). Metrics such as streamline count (SC), as well as the mean of the fractional anisotropy along a tract, axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD) were assessed. In networks that were found to be significantly different for patients with hydrocephalus, tracts were evaluated to assess their relationship with postoperative lateral ventricle volume. RESULTS Patients with pediatric hydrocephalus had various networks that were either upregulated or downregulated relative to controls across all white matter measures. Predominately, network dysregulation occurred in tracts involving structures located outside of the frontal lobe. Furthermore tracts with values suggesting decreased white matter integrity were not only found between subcortical structures, but also cortical structures. While there were various tracts with white matter metrics that were initially predicted by lateral ventricle volume, only two tracts remained significant following multiple comparisons. CONCLUSIONS This cross-sectional study in pediatric patients with hydrocephalus and healthy controls demonstrated using whole-brain probabilistic tractography that there are various networks with dysregulated white matter integrity in hydrocephalus patients relative to controls. These dysregulated networks have tracts connecting structures throughout the brain, and the regions were predominately located centrally and posteriorly. Postoperative ventricle volume did not predict the white matter integrity of many tracts. Future studies with larger sample sizes are needed to further understand these results.
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Affiliation(s)
| | - Roy Eagleson
- School of Biomedical Engineering, Western University, London, Ontario, Canada; Department of Electrical and Computer Engineering, Western University, London, Ontario, Canada; Western Institute for Neuroscience, Western University, London, Ontario, Canada
| | - Sandrine de Ribaupierre
- School of Biomedical Engineering, Western University, London, Ontario, Canada; Western Institute for Neuroscience, Western University, London, Ontario, Canada; Department of Clinical Neurological Sciences, Schulich School of Medicine, Western University, London, Ontario, Canada.
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14
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Lang M, Colby S, Ashby-Padial C, Bapna M, Jaimes C, Rincon SP, Buch K. An imaging review of the hippocampus and its common pathologies. J Neuroimaging 2024; 34:5-25. [PMID: 37872430 DOI: 10.1111/jon.13165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 10/07/2023] [Accepted: 10/12/2023] [Indexed: 10/25/2023] Open
Abstract
The hippocampus is a complex structure located in the mesial temporal lobe that plays a critical role in cognitive and memory-related processes. The hippocampal formation consists of the dentate gyrus, hippocampus proper, and subiculum, and its importance in the neural circuitry makes it a key anatomic structure to evaluate in neuroimaging studies. Advancements in imaging techniques now allow detailed assessment of hippocampus internal architecture and signal features that has improved identification and characterization of hippocampal abnormalities. This review aims to summarize the neuroimaging features of the hippocampus and its common pathologies. It provides an overview of the hippocampal anatomy on magnetic resonance imaging and discusses how various imaging techniques can be used to assess the hippocampus. The review explores neuroimaging findings related to hippocampal variants (incomplete hippocampal inversion, sulcal remnant and choroidal fissure cysts), and pathologies of neoplastic (astrocytoma and glioma, ganglioglioma, dysembryoplastic neuroepithelial tumor, multinodular and vacuolating neuronal tumor, and metastasis), epileptic (mesial temporal sclerosis and focal cortical dysplasia), neurodegenerative (Alzheimer's disease, progressive primary aphasia, and frontotemporal dementia), infectious (Herpes simplex virus and limbic encephalitis), vascular (ischemic stroke, arteriovenous malformation, and cerebral cavernous malformations), and toxic-metabolic (transient global amnesia and opioid-associated amnestic syndrome) etiologies.
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Affiliation(s)
- Min Lang
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Samantha Colby
- Department of Neurosurgery, University of Utah Health, Salt Lake City, Utah, USA
| | | | - Monika Bapna
- School of Medicine, Georgetown University, Washington, DC, USA
| | - Camilo Jaimes
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Sandra P Rincon
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Karen Buch
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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15
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Keil J, Kiiski H, Doherty L, Hernandez-Urbina V, Vassiliou C, Dean C, Müschenich M, Bahmani H. Artificial sharp-wave-ripples to support memory and counter neurodegeneration. Brain Res 2024; 1822:148646. [PMID: 37871674 DOI: 10.1016/j.brainres.2023.148646] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 10/11/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023]
Abstract
Information processed in our sensory neocortical areas is transported to the hippocampus during memory encoding, and between hippocampus and neocortex during memory consolidation, and retrieval. Short bursts of high-frequency oscillations, so called sharp-wave-ripples, have been proposed as a potential mechanism for this information transfer: They can synchronize neural activity to support the formation of local neural networks to store information, and between distant cortical sites to act as a bridge to transfer information between sensory cortical areas and hippocampus. In neurodegenerative diseases like Alzheimer's Disease, different neuropathological processes impair normal neural functioning and neural synchronization as well as sharp-wave-ripples, which impairs consolidation and retrieval of information, and compromises memory. Here, we formulate a new hypothesis, that artificially inducing sharp-wave-ripples with noninvasive high-frequency visual stimulation could potentially support memory functioning, as well as target the neuropathological processes underlying neurodegenerative diseases. We also outline key challenges for empirical tests of the hypothesis.
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Affiliation(s)
- Julian Keil
- Department of Psychology, Christian-Albrechts-University Kiel, Germany; Ababax Health GmbH, Berlin, Germany; Department of Cognitive Science, University of Potsdam, Germany.
| | - Hanni Kiiski
- Ababax Health GmbH, Berlin, Germany; Department of Cognitive Science, University of Potsdam, Germany
| | | | | | - Chrystalleni Vassiliou
- German Center for Neurodegenerative Diseases, Charité University of Medicine, Berlin, Germany
| | - Camin Dean
- German Center for Neurodegenerative Diseases, Charité University of Medicine, Berlin, Germany
| | | | - Hamed Bahmani
- Ababax Health GmbH, Berlin, Germany; Bernstein Center for Computational Neuroscience, Tuebingen, Germany
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16
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Jensen DE, Ebmeier KP, Akbaraly T, Jansen MG, Singh-Manoux A, Kivimäki M, Zsoldos E, Klein-Flügge MC, Suri S. The association of longitudinal diet and waist-to-hip ratio from midlife to old age with hippocampus connectivity and memory in old age: a cohort study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.12.570778. [PMID: 38168259 PMCID: PMC10760001 DOI: 10.1101/2023.12.12.570778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Epidemiological studies suggest lifestyle factors may reduce the risk of dementia. However, few studies have examined the association of diet and waist-to-hip ratio with hippocampus connectivity. In the Whitehall II Imaging Sub-study, we examined longitudinal changes in diet quality in 512 participants and waist-to-hip ratio in 665 participants. Diet quality was measured using the Alternative Health Eating Index-2010 assessed three times across 11 years between ages 48 and 60 years, and waist-to-hip ratio five times over 21 years between ages 48 and 68 years. Brain imaging and cognitive tests were performed at age 70±5 years. We measured white matter using diffusion tensor imaging and hippocampal functional connectivity using resting-state functional magnetic resonance imaging. In addition to associations of diet and waist-to-hip ratio with brain imaging measures, we tested whether associations between diet, waist-to-hip ratio and cognitive performance were mediated by brain connectivity. We found better diet quality in midlife and improvements in diet over mid-to-late life were associated with higher hippocampal functional connectivity to the occipital lobe and cerebellum, and better white matter integrity as measured by higher fractional anisotropy and lower diffusivity. Higher waist-to-hip ratio in midlife was associated with higher mean and radial diffusivity and lower fractional anisotropy in several tracts including the inferior longitudinal fasciculus and cingulum. Associations between midlife waist-to-hip ratio, working memory and executive function were partially mediated by radial diffusivity. All associations were independent of age, sex, education, and physical activity. Our findings highlight the importance of maintaining a good diet and a healthy waist-to-hip ratio in midlife to maintain brain health in later life. Future interventional studies for the improvement of dietary and metabolic health should target midlife for the prevention of cognitive decline in old age.
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17
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Modo M, Sparling K, Novotny J, Perry N, Foley LM, Hitchens TK. Mapping mesoscale connectivity within the human hippocampus. Neuroimage 2023; 282:120406. [PMID: 37827206 PMCID: PMC10623761 DOI: 10.1016/j.neuroimage.2023.120406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/28/2023] [Accepted: 10/10/2023] [Indexed: 10/14/2023] Open
Abstract
The connectivity of the hippocampus is essential to its functions. To gain a whole system view of intrahippocampal connectivity, ex vivo mesoscale (100 μm isotropic resolution) multi-shell diffusion MRI (11.7T) and tractography were performed on entire post-mortem human right hippocampi. Volumetric measurements indicated that the head region was largest followed by the body and tail regions. A unique anatomical organization in the head region reflected a complex organization of the granule cell layer (GCL) of the dentate gyrus. Tractography revealed the volumetric distribution of the perforant path, including both the tri-synaptic and temporoammonic pathways, as well as other well-established canonical connections, such as Schaffer collaterals. Visualization of the perforant path provided a means to verify the borders between the pro-subiculum and CA1, as well as between CA1/CA2. A specific angularity of different layers of fibers in the alveus was evident across the whole sample and allowed a separation of afferent and efferent connections based on their origin (i.e. entorhinal cortex) or destination (i.e. fimbria) using a cluster analysis of streamlines. Non-canonical translamellar connections running along the anterior-posterior axis were also discerned in the hilus. In line with "dentations" of the GCL, mossy fibers were bunching together in the sagittal plane revealing a unique lamellar organization and connections between these. In the head region, mossy fibers projected to the origin of the fimbria, which was distinct from the body and tail region. Mesoscale tractography provides an unprecedented systems view of intrahippocampal connections that underpin cognitive and emotional processing.
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Affiliation(s)
- Michel Modo
- Department of Radiology; Department of BioEngineering; McGowan Institute for Regenerative Medicine; Centre for Neuroscience University of Pittsburgh (CNUP); Centre for the Neural Basis of Cognition (CNBC).
| | | | | | | | | | - T Kevin Hitchens
- Small Animal Imaging Center; Departmnet of Neurobiology, University of Pittsburgh, Pittsburgh, PA 15203, USA
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18
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Banks MI, Krause BM, Berger DG, Campbell DI, Boes AD, Bruss JE, Kovach CK, Kawasaki H, Steinschneider M, Nourski KV. Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology. PLoS Biol 2023; 21:e3002239. [PMID: 37651504 PMCID: PMC10499207 DOI: 10.1371/journal.pbio.3002239] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 09/13/2023] [Accepted: 07/07/2023] [Indexed: 09/02/2023] Open
Abstract
Understanding central auditory processing critically depends on defining underlying auditory cortical networks and their relationship to the rest of the brain. We addressed these questions using resting state functional connectivity derived from human intracranial electroencephalography. Mapping recording sites into a low-dimensional space where proximity represents functional similarity revealed a hierarchical organization. At a fine scale, a group of auditory cortical regions excluded several higher-order auditory areas and segregated maximally from the prefrontal cortex. On mesoscale, the proximity of limbic structures to the auditory cortex suggested a limbic stream that parallels the classically described ventral and dorsal auditory processing streams. Identities of global hubs in anterior temporal and cingulate cortex depended on frequency band, consistent with diverse roles in semantic and cognitive processing. On a macroscale, observed hemispheric asymmetries were not specific for speech and language networks. This approach can be applied to multivariate brain data with respect to development, behavior, and disorders.
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Affiliation(s)
- Matthew I. Banks
- Department of Anesthesiology, University of Wisconsin, Madison, Wisconsin, United States of America
- Department of Neuroscience, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Bryan M. Krause
- Department of Anesthesiology, University of Wisconsin, Madison, Wisconsin, United States of America
| | - D. Graham Berger
- Department of Anesthesiology, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Declan I. Campbell
- Department of Anesthesiology, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Aaron D. Boes
- Department of Neurology, The University of Iowa, Iowa City, Iowa, United States of America
| | - Joel E. Bruss
- Department of Neurology, The University of Iowa, Iowa City, Iowa, United States of America
| | - Christopher K. Kovach
- Department of Neurosurgery, The University of Iowa, Iowa City, Iowa, United States of America
| | - Hiroto Kawasaki
- Department of Neurosurgery, The University of Iowa, Iowa City, Iowa, United States of America
| | - Mitchell Steinschneider
- Department of Neurology, Albert Einstein College of Medicine, New York, New York, United States of America
- Department of Neuroscience, Albert Einstein College of Medicine, New York, New York, United States of America
| | - Kirill V. Nourski
- Department of Neurosurgery, The University of Iowa, Iowa City, Iowa, United States of America
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, Iowa, United States of America
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19
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Plachti A, Latzman RD, Balajoo SM, Hoffstaedter F, Madsen KS, Baare W, Siebner HR, Eickhoff SB, Genon S. Hippocampal anterior- posterior shift in childhood and adolescence. Prog Neurobiol 2023; 225:102447. [PMID: 36967075 PMCID: PMC10185869 DOI: 10.1016/j.pneurobio.2023.102447] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/14/2023] [Accepted: 03/23/2023] [Indexed: 04/07/2023]
Abstract
Hippocampal-cortical networks play an important role in neurocognitive development. Applying the method of Connectivity-Based Parcellation (CBP) on hippocampal-cortical structural covariance (SC) networks computed from T1-weighted magnetic resonance images, we examined how the hippocampus differentiates into subregions during childhood and adolescence (N = 1105, 6-18 years). In late childhood, the hippocampus mainly differentiated along the anterior-posterior axis similar to previous reported functional differentiation patterns of the hippocampus. In contrast, in adolescence a differentiation along the medial-lateral axis was evident, reminiscent of the cytoarchitectonic division into cornu ammonis and subiculum. Further meta-analytical characterization of hippocampal subregions in terms of related structural co-maturation networks, behavioural and gene profiling suggested that the hippocampal head is related to higher order functions (e.g. language, theory of mind, autobiographical memory) in late childhood morphologically co-varying with almost the whole brain. In early adolescence but not in childhood, posterior subicular SC networks were associated with action-oriented and reward systems. The findings point to late childhood as an important developmental period for hippocampal head morphology and to early adolescence as a crucial period for hippocampal integration into action- and reward-oriented cognition. The latter may constitute a developmental feature that conveys increased propensity for addictive disorders.
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Affiliation(s)
- Anna Plachti
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital -Amager and Hvidovre, Copenhagen, Denmark
| | - Robert D Latzman
- Data Sciences Institute, Takeda Pharmaceutical, Cambridge, MA, USA
| | | | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital -Amager and Hvidovre, Copenhagen, Denmark; Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - William Baare
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital -Amager and Hvidovre, Copenhagen, Denmark
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital -Amager and Hvidovre, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sarah Genon
- Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; GIGA-CRC In vivo Imaging, University of Liege, Liege, Belgium.
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20
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Deleglise A, Donnelly-Kehoe PA, Yeffal A, Jacobacci F, Jovicich J, Amaro E, Armony JL, Doyon J, Della-Maggiore V. Human motor sequence learning drives transient changes in network topology and hippocampal connectivity early during memory consolidation. Cereb Cortex 2023; 33:6120-6131. [PMID: 36587288 DOI: 10.1093/cercor/bhac489] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/03/2022] [Accepted: 11/20/2022] [Indexed: 01/02/2023] Open
Abstract
In the last decade, the exclusive role of the hippocampus in human declarative learning has been challenged. Recently, we have shown that gains in performance observed in motor sequence learning (MSL) during the quiet rest periods interleaved with practice are associated with increased hippocampal activity, suggesting a role of this structure in motor memory reactivation. Yet, skill also develops offline as memory stabilizes after training and overnight. To examine whether the hippocampus contributes to motor sequence memory consolidation, here we used a network neuroscience strategy to track its functional connectivity offline 30 min and 24 h post learning using resting-state functional magnetic resonance imaging. Using a graph-analytical approach we found that MSL transiently increased network modularity, reflected in an increment in local information processing at 30 min that returned to baseline at 24 h. Within the same time window, MSL decreased the connectivity of a hippocampal-sensorimotor network, and increased the connectivity of a striatal-premotor network in an antagonistic manner. Finally, a supervised classification identified a low-dimensional pattern of hippocampal connectivity that discriminated between control and MSL data with high accuracy. The fact that changes in hippocampal connectivity were detected shortly after training supports a relevant role of the hippocampus in early stages of motor memory consolidation.
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Affiliation(s)
- Alvaro Deleglise
- University of Buenos Aires, CONICET, Institute of Physiology and Biophysics (IFIBIO) Bernardo Houssay, Buenos Aires C1121ABG, Argentina
| | | | - Abraham Yeffal
- University of Buenos Aires, CONICET, Institute of Physiology and Biophysics (IFIBIO) Bernardo Houssay, Buenos Aires C1121ABG, Argentina
| | - Florencia Jacobacci
- University of Buenos Aires, CONICET, Institute of Physiology and Biophysics (IFIBIO) Bernardo Houssay, Buenos Aires C1121ABG, Argentina
| | - Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, 38068 Trento, Italy
| | - Edson Amaro
- Plataforma de Imagens na Sala de Autopsia (PISA), Instituto de Radiologia, Facultade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-000, Brazil
| | - Jorge L Armony
- Douglas Mental Health Research Institute, McGill University, Montreal, QC H4H 1R3, Canada
| | - Julien Doyon
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
| | - Valeria Della-Maggiore
- University of Buenos Aires, CONICET, Institute of Physiology and Biophysics (IFIBIO) Bernardo Houssay, Buenos Aires C1121ABG, Argentina
- School of Science and Technology (ECyT), National University of San Martin, B1650 Villa Lynch, Buenos Aires, Argentina
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21
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Azzarito M, Emmenegger T, Ziegler G, Huber E, Grabher P, Callaghan MF, Thompson A, Friston K, Weiskopf N, Killeen T, Freund P. Coherent, time-shifted patterns of microstructural plasticity during motor-skill learning. Neuroimage 2023; 274:120128. [PMID: 37116765 DOI: 10.1016/j.neuroimage.2023.120128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 04/14/2023] [Accepted: 04/17/2023] [Indexed: 04/30/2023] Open
Abstract
Motor skill learning relies on neural plasticity in the motor and limbic systems. However, the spatial and temporal characteristics of these changes-and their microstructural underpinnings-remain unclear. Eighteen healthy males received 1 hour of training in a computer-based motion game, 4 times a week, for 4 consecutive weeks, while 14 untrained participants underwent scanning only. Performance improvements were observed in all trained participants. Serial myelin- and iron-sensitive multiparametric mapping at 3T during this period of intensive motor skill acquisition revealed temporally and spatially distributed, performance-related microstructural changes in the grey and white matter across a corticospinal-cerebellar-hippocampal circuit. Analysis of the trajectory of these transient changes suggested time-shifted cascades of plasticity from the dominant sensorimotor system to the contralateral hippocampus. In the cranial corticospinal tracts, changes in myelin-sensitive metrics during training in the posterior limb of the internal capsule were of greater magnitude in those who trained their upper limbs vs. lower limb trainees. Motor skill learning is associated with waves of grey and white matter plasticity, across a broad sensorimotor network.
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Affiliation(s)
- Michela Azzarito
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Tim Emmenegger
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Gabriel Ziegler
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Eveline Huber
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Patrick Grabher
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Martina F Callaghan
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Alan Thompson
- Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK
| | - Karl Friston
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany
| | - Tim Killeen
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Patrick Freund
- Spinal Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland; Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK; Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
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22
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Barrutieta-Arberas I, Ortuzar N, Vaquero-Rodríguez A, Picó-Gallardo M, Bengoetxea H, Guevara MA, Gargiulo PA, Lafuente JV. The role of ketamine in major depressive disorders: Effects on parvalbumin-positive interneurons in hippocampus. Exp Biol Med (Maywood) 2023; 248:588-595. [PMID: 37158084 PMCID: PMC10350797 DOI: 10.1177/15353702231170007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023] Open
Abstract
Major depressive disorder (MDD) is a complex illness that is arising as a growing public health concern. Although several brain areas are related to this type of disorders, at the cellular level, the parvalbumin-positive cells of the hippocampus interplay a very relevant role. They control pyramidal cell bursts, neuronal networks, basic microcircuit functions, and other complex neuronal tasks involved in mood disorders. In resistant depressions, the efficacy of current antidepressant treatments drops dramatically, so the new rapid-acting antidepressants (RAADs) are being postulated as novel treatments. Ketamine at subanesthetic doses and its derivative metabolites have been proposed as RAADs due to their rapid and sustained action by blocking N-methyl-d-aspartate (NMDA) receptors, which in turn lead to the release of brain-derived neurotrophic factor (BDNF). This mechanism produces a rapid plasticity activation mediated by neurotransmitter homeostasis, synapse recovery, and increased dendritic spines and therefore, it is a promising therapeutic approach to improve cognitive symptoms in MDD.
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Affiliation(s)
- I Barrutieta-Arberas
- LaNCE, Department of Neuroscience, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - N Ortuzar
- LaNCE, Department of Neuroscience, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
- Neurodegenerative Diseases Group, BioCruces Health Research Institute, 48903 Barakaldo, Spain
| | - A Vaquero-Rodríguez
- LaNCE, Department of Neuroscience, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
- Neurodegenerative Diseases Group, BioCruces Health Research Institute, 48903 Barakaldo, Spain
| | - M Picó-Gallardo
- LaNCE, Department of Neuroscience, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - H Bengoetxea
- LaNCE, Department of Neuroscience, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
- Neurodegenerative Diseases Group, BioCruces Health Research Institute, 48903 Barakaldo, Spain
| | - MA Guevara
- Laboratory of Neurosciences and Experimental Psychology, Area of Pharmacology, Department of Pathology, Faculty of Medical Sciences, National Council of Scientific and Technical Research, National University of Cuyo, 5502 Mendoza, Argentina
| | - PA Gargiulo
- Laboratory of Neurosciences and Experimental Psychology, Area of Pharmacology, Department of Pathology, Faculty of Medical Sciences, National Council of Scientific and Technical Research, National University of Cuyo, 5502 Mendoza, Argentina
| | - JV Lafuente
- LaNCE, Department of Neuroscience, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
- Neurodegenerative Diseases Group, BioCruces Health Research Institute, 48903 Barakaldo, Spain
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23
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Zakani M, Nigritinou M, Ponleitner M, Takai Y, Hofmann D, Hillebrand S, Höftberger R, Bauer J, Lasztoczi B, Misu T, Kasprian G, Rommer P, Bradl M. Paths to hippocampal damage in neuromyelitis optica spectrum disorders. Neuropathol Appl Neurobiol 2023; 49:e12893. [PMID: 36811295 PMCID: PMC10947283 DOI: 10.1111/nan.12893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 02/03/2023] [Accepted: 02/14/2023] [Indexed: 02/24/2023]
Abstract
AIMS Many patients with neuromyelitis optica spectrum disorders (NMOSD) suffer from cognitive impairment affecting memory, processing speed and attention and suffer from depressive symptoms. Because some of these manifestations could trace back to the hippocampus, several magnetic resonance imaging (MRI) studies have been performed in the past, with a number of groups describing volume loss of the hippocampus in NMOSD patients, whereas others did not observe such changes. Here, we addressed these discrepancies. METHODS We performed pathological and MRI studies on the hippocampi of NMOSD patients, combined with detailed immunohistochemical analysis of hippocampi from experimental models of NMOSD. RESULTS We identified different pathological scenarios for hippocampal damage in NMOSD and its experimental models. In the first case, the hippocampus was compromised by the initiation of astrocyte injury in this brain region and subsequent local effects of microglial activation and neuronal damage. In the second case, loss of hippocampal volume was seen by MRI in patients with large tissue-destructive lesions in the optic nerves or the spinal cord, and the pathological work-up of tissue derived from a patient with such lesions revealed subsequent retrograde neuronal degeneration affecting different axonal tracts and neuronal networks. It remains to be seen whether remote lesions and associated retrograde neuronal degeneration on their own are sufficient to cause extensive volume loss of the hippocampus, or whether they act in concert with small astrocyte-destructive, microglia-activating lesions in the hippocampus that escape detection by MRI, either due to their small size or due to the chosen time window for examination. CONCLUSIONS Different pathological scenarios can culminate in hippocampal volume loss in NMOSD patients.
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Affiliation(s)
- Mona Zakani
- Division of Neuroimmunology, Center for Brain ResearchMedical University of ViennaViennaAustria
| | - Magdalini Nigritinou
- Division of Neuroimmunology, Center for Brain ResearchMedical University of ViennaViennaAustria
| | | | - Yoshiki Takai
- Department of NeurologyTohoku University Graduate School of MedicineSendaiJapan
| | - Daniel Hofmann
- Division of Neuroimmunology, Center for Brain ResearchMedical University of ViennaViennaAustria
| | - Sophie Hillebrand
- Division of Neuroimmunology, Center for Brain ResearchMedical University of ViennaViennaAustria
| | - Romana Höftberger
- Department of Neurology, Division of Neuropathology and NeurochemistryMedical University of ViennaViennaAustria
| | - Jan Bauer
- Division of Neuroimmunology, Center for Brain ResearchMedical University of ViennaViennaAustria
| | - Balint Lasztoczi
- Division of Cognitive Neurobiology, Center for Brain ResearchMedical University of ViennaViennaAustria
| | - Tatsuro Misu
- Department of NeurologyTohoku University Graduate School of MedicineSendaiJapan
| | - Gregor Kasprian
- Division of Biomedical Imaging and Image‐guided TherapyMedical University of ViennaViennaAustria
| | - Paulus Rommer
- Department of NeurologyMedical University of ViennaViennaAustria
| | - Monika Bradl
- Division of Neuroimmunology, Center for Brain ResearchMedical University of ViennaViennaAustria
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24
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Chen YH, Chang CY, Yen NS, Tsai SY. Brain plasticity of structural connectivity networks and topological properties in baseball players with different levels of expertise. Brain Cogn 2023; 166:105943. [PMID: 36621186 DOI: 10.1016/j.bandc.2022.105943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 12/06/2022] [Accepted: 12/28/2022] [Indexed: 01/09/2023]
Abstract
Brain plasticity in structural connectivity networks along the development of expertise has remained largely unknown. To address this, we recruited individuals with three different levels of baseball-playing experience: skilled batters (SB), intermediate batters (IB), and healthy controls (HC). We constructed their structural connectivity networks using diffusion tractography and compared their region-to-region structural connections and the topological characteristics of the constructed networks using graph-theoretical analysis. The group differences were detected in 35 connections predominantly involving sensorimotor and visual systems; the intergroup changes could be depicted either in a stepwise (HC < / = IB < / = SB) or a U-/inverted U-shaped manner as experience increased (IB < SB and/or HC, or opposite). All groups showed small-world topology in their constructed networks, but SB had increased global and local network efficiency than IB and/or HC. Furthermore, although the number and cortical regions identified as hubs of the networks in the three groups were highly similar, SB exhibited higher nodal global efficiency in both the dorsolateral and medial parts of the bilateral superior frontal gyri than IB. Our findings add new evidence of topological reorganization in brain networks associated with sensorimotor experience in sports. Interestingly, these changes do not necessarily increase as a function of experience as previously suggested in literature.
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Affiliation(s)
- Yin-Hua Chen
- Graduate Institute of Athletics and Coaching Science, National Taiwan Sport University, No. 250, Wenhua 1st Rd, Guishan, Taoyuan 33301, Taiwan
| | - Chih-Yen Chang
- Department of Physical Education, National Taiwan Normal University, 162, Sec. 1, Heping E. Rd, Taipei 10610, Taiwan
| | - Nai-Shing Yen
- Research Center for Mind, Brain, and Learning, National Chengchi University, No. 64, Sec. 2, Zhi-Nan Rd, Wen-Shan District, Taipei 11605, Taiwan; Department of Psychology, National Chengchi University, No. 64, Sec. 2, Zhi-Nan Rd, Wen-Shan District, Taipei 11605, Taiwan.
| | - Shang-Yueh Tsai
- Research Center for Mind, Brain, and Learning, National Chengchi University, No. 64, Sec. 2, Zhi-Nan Rd, Wen-Shan District, Taipei 11605, Taiwan; Graduate Institute of Applied Physics, National Chengchi University, No. 64, Sec. 2, Zhi-Nan Rd, Wen-Shan District, Taipei 11605, Taiwan.
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25
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Shih NC, Kurniawan ND, Cabeen RP, Korobkova L, Wong E, Chui HC, Clark KA, Miller CA, Hawes D, Jones KT, Sepehrband F. Microstructural mapping of dentate gyrus pathology in Alzheimer's disease: A 16.4 Tesla MRI study. Neuroimage Clin 2023; 37:103318. [PMID: 36630864 PMCID: PMC9841366 DOI: 10.1016/j.nicl.2023.103318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/07/2023]
Abstract
The dentate gyrus (DG) is an integral portion of the hippocampal formation, and it is composed of three layers. Quantitative magnetic resonance (MR) imaging has the capability to map brain tissue microstructural properties which can be exploited to investigate neurodegeneration in Alzheimer's disease (AD). However, assessing subtle pathological changes within layers requires high resolution imaging and histological validation. In this study, we utilized a 16.4 Tesla scanner to acquire ex vivo multi-parameter quantitative MRI measures in human specimens across the layers of the DG. Using quantitative diffusion tensor imaging (DTI) and multi-parameter MR measurements acquired from AD (N = 4) and cognitively normal control (N = 6) tissues, we performed correlation analyses with histological measurements. Here, we found that quantitative MRI measures were significantly correlated with neurofilament and phosphorylated Tau density, suggesting sensitivity to layer-specific changes in the DG of AD tissues.
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Affiliation(s)
- Nien-Chu Shih
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Nyoman D Kurniawan
- Center for Advanced Imaging, The University of Queensland, Brisbane 4072, Australia
| | - Ryan P Cabeen
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Laura Korobkova
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089. USA
| | - Ellen Wong
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA 90242, USA
| | - Helena C Chui
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Kristi A Clark
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Carol A Miller
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Debra Hawes
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Pathology and Laboratory Medicine, Children's Hospital of Los Angeles, Los Angeles, CA 90033, USA
| | - Kymry T Jones
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Farshid Sepehrband
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
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26
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Baliyan S, Calvo MV, Piquera D, Montero O, Visioli F, Venero C, Fontecha J. Milk fat globule membrane concentrate as a nutritional supplement prevents age-related cognitive decline in old rats: A lipidomic study of synaptosomes. Food Res Int 2023; 163:112163. [PMID: 36596112 DOI: 10.1016/j.foodres.2022.112163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/04/2022] [Accepted: 11/15/2022] [Indexed: 11/21/2022]
Abstract
Aging is associated with a decline in cognitive abilities, mainly in memory and executive functioning. A similar but premature deterioration in cognitive capacities is the hallmark of mild cognitive impairment, Alzeimer's disease and dementia. The biochemical mechanisms that cause these neurodegenerative disorders are poorly understood. However, some evidence suggests that insufficient dietary intakes of some phospholipids could impact on brain function and increase the risk of future cognitive impairment and dementia. We evaluated the cognitive and biochemical effects of supplementation with a milk fat globule membrane (MFGM) concentrate in aged rats. We observed that, compared to control animals, MFGM supplemented rats showed enhanced spatial working memory, but both groups exhibited similar reference spatial learning and emotional memory abilities. No significant differences between BDNF levels in the hippocampus and frontal cortex of treated rats as compared to controls were found. The nootropic effects observed were accompanied by significant changes in the lipid composition of synaptic membranes. MFGM supplementation increased the levels of EPA and DHA acids as well as the plasmalogens content in the synaptosomes isolated from the hippocampus (Synapt-HP) and the frontal cortex (Synapt-FC). In addition enhanced levels of phosphatidyl serine (PS), particularly PS(18:1/18:1), and phosphatidyl inositol (PI) molecular species were observed in Synapt-HP and Synapt-FC of treated animals.Lipidomic analysis also revealed greater concentration of phosphatidyl ethanolamine (PE) molecular species containing very long-chain fatty acids and PE plasmenyls in Synapt-HP as well as an increase of the SM content in Synapt-FC from the MFGM group. Although further studies are needed to confirm the underlying mechanism (individual or synergistic), these results suggest that MFGM supplementation could be employed as a dietary implement to restore the proper cerebral concentration of some bioactive lipids and prevent or slow the progression of age-related cognitive impairment.
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Affiliation(s)
- Shishir Baliyan
- Cogni-UNED, Faculty of Psychology, Department of Psychobiology, UNED, Madrid, Spain
| | - María V Calvo
- Food Lipid Biomarkers and Health Group, Institute of Food Science Research (CIAL, CSIC-UAM), Madrid, Spain
| | - Dharna Piquera
- Cogni-UNED, Faculty of Psychology, Department of Psychobiology, UNED, Madrid, Spain
| | - Olimpio Montero
- Institute of Molecular Biology and Genetics (IBGM), University of Valladolid, Valladolid, Spain
| | - Francesco Visioli
- Department of Molecular Medicine, University of Padova, Padova, Italy; IMDEA-Food, CEI UAM, Madrid, Spain
| | - César Venero
- Cogni-UNED, Faculty of Psychology, Department of Psychobiology, UNED, Madrid, Spain.
| | - Javier Fontecha
- Food Lipid Biomarkers and Health Group, Institute of Food Science Research (CIAL, CSIC-UAM), Madrid, Spain.
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27
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Seghier ML. Multiple functions of the angular gyrus at high temporal resolution. Brain Struct Funct 2023; 228:7-46. [PMID: 35674917 DOI: 10.1007/s00429-022-02512-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/22/2022] [Indexed: 02/07/2023]
Abstract
Here, the functions of the angular gyrus (AG) are evaluated in the light of current evidence from transcranial magnetic/electric stimulation (TMS/TES) and EEG/MEG studies. 65 TMS/TES and 52 EEG/MEG studies were examined in this review. TMS/TES literature points to a causal role in semantic processing, word and number processing, attention and visual search, self-guided movement, memory, and self-processing. EEG/MEG studies reported AG effects at latencies varying between 32 and 800 ms in a wide range of domains, with a high probability to detect an effect at 300-350 ms post-stimulus onset. A three-phase unifying model revolving around the process of sensemaking is then suggested: (1) early AG involvement in defining the current context, within the first 200 ms, with a bias toward the right hemisphere; (2) attention re-orientation and retrieval of relevant information within 200-500 ms; and (3) cross-modal integration at late latencies with a bias toward the left hemisphere. This sensemaking process can favour accuracy (e.g. for word and number processing) or plausibility (e.g. for comprehension and social cognition). Such functions of the AG depend on the status of other connected regions. The much-debated semantic role is also discussed as follows: (1) there is a strong TMS/TES evidence for a causal semantic role, (2) current EEG/MEG evidence is however weak, but (3) the existing arguments against a semantic role for the AG are not strong. Some outstanding questions for future research are proposed. This review recognizes that cracking the role(s) of the AG in cognition is possible only when its exact contributions within the default mode network are teased apart.
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Affiliation(s)
- Mohamed L Seghier
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, UAE. .,Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, UAE.
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28
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Teghil A, Bonavita A, Procida F, Giove F, Boccia M. Intrinsic hippocampal connectivity is associated with individual differences in retrospective duration processing. Brain Struct Funct 2023; 228:687-695. [PMID: 36695891 PMCID: PMC9944733 DOI: 10.1007/s00429-023-02612-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/13/2023] [Indexed: 01/26/2023]
Abstract
The estimation of incidentally encoded durations of time intervals (retrospective duration processing) is thought to rely on the retrieval of contextual information associated with a sequence of events, automatically encoded in medial temporal lobe regions. "Time cells" have been described in the hippocampus (HC), encoding the temporal progression of events and their duration. However, whether the HC supports explicit retrospective duration judgments in humans, and which neural dynamics are involved, is still poorly understood. Here we used resting-state fMRI to test the relation between variations in intrinsic connectivity patterns of the HC, and individual differences in retrospective duration processing, assessed using a novel task involving the presentation of ecological stimuli. Results showed that retrospective duration discrimination performance predicted variations in the intrinsic connectivity of the bilateral HC with the right precentral gyrus; follow-up exploratory analyses suggested a role of the CA1 and CA4/DG subfields in driving the observed pattern. Findings provide insights on neural networks associated with implicit processing of durations in the second range.
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Affiliation(s)
- Alice Teghil
- Department of Psychology, "Sapienza" University of Rome, Via dei Marsi 78, 00185, Rome, Italy. .,Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy.
| | - Alessia Bonavita
- Department of Psychology, “Sapienza” University of Rome, Via dei Marsi 78, 00185 Rome, Italy ,Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy ,PhD Program in Behavioral Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Federica Procida
- Department of Psychology, “Sapienza” University of Rome, Via dei Marsi 78, 00185 Rome, Italy
| | - Federico Giove
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy ,MARBILab, Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, 00184 Rome, Italy
| | - Maddalena Boccia
- Department of Psychology, “Sapienza” University of Rome, Via dei Marsi 78, 00185 Rome, Italy ,Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
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29
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Dial HR, Europa E, Grasso SM, Mandelli ML, Schaffer KM, Hubbard HI, Wauters LD, Wineholt L, Wilson SM, Gorno-Tempini ML, Henry ML. Baseline structural imaging correlates of treatment outcomes in semantic variant primary progressive aphasia. Cortex 2023; 158:158-175. [PMID: 36577212 PMCID: PMC9904210 DOI: 10.1016/j.cortex.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 02/25/2022] [Accepted: 10/12/2022] [Indexed: 12/03/2022]
Abstract
Semantic variant primary progressive aphasia (svPPA) is a neurodegenerative disorder characterized by a loss of semantic knowledge in the context of anterior temporal lobe atrophy (left > right). Core features of svPPA include anomia and single-word comprehension impairment. Despite growing evidence supporting treatment for anomia in svPPA, there is a paucity of research investigating neural mechanisms supporting treatment-induced gains and generalization to untrained items. In the current study, we examined the relation between the structural integrity of brain parenchyma (tissue inclusive of gray and white matter) at pre-treatment and treatment outcomes for trained and untrained items in a group of 19 individuals with svPPA who completed lexical retrieval treatment. Two structural neuroimaging approaches were used: an exploratory, whole-brain, voxel-wise approach and an a priori region of interest (ROI) approach. Based on previous research, bilateral temporal (inferior, middle, and superior temporal gyri), parietal (supramarginal and angular gyri), frontal (inferior and middle frontal gyri) and medial temporal (hippocampus and parahippocampal gyri) ROIs were selected from the Automated Anatomical Labeling (AAL) atlas. Analyses revealed improved naming of trained items and generalization to untrained items following treatment, providing converging evidence that individuals with svPPA can benefit from treatment for anomia. Better post-treatment naming accuracy was associated with the structural integrity of inferior parietal cortex and the hippocampus. Specifically, improved naming of trained items was related to the left supramarginal (phonological processing) and angular gyri (phonological and semantic processing), and improved naming of trained and untrained items was related to the left hippocampus (episodic, context-based memory). Future research should examine treatment outcomes in relation to pre-treatment functional and structural connectivity as well as changes in network dynamics following speech-language intervention to further elucidate the neural mechanisms underlying treatment response in svPPA and related disorders.
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Affiliation(s)
- Heather R Dial
- Department of Communication Sciences and Disorders, University of Houston, 3871 Holman St, Houston, TX, USA; Department of Speech, Language and Hearing Sciences, University of Texas at Austin, 2504A Whitis Avenue (A1100), Austin, TX USA.
| | - Eduardo Europa
- Connie L. Lurie College of Education, San Jose State University, One Washington Square, San Jose, CA, USA
| | - Stephanie M Grasso
- Department of Speech, Language and Hearing Sciences, University of Texas at Austin, 2504A Whitis Avenue (A1100), Austin, TX USA
| | - Maria Luisa Mandelli
- Memory and Aging Center, University of California, San Francisco. 675 Nelson Rising Lane (Suite 190), San Francisco, CA USA
| | - Kristin M Schaffer
- Department of Speech, Language and Hearing Sciences, University of Texas at Austin, 2504A Whitis Avenue (A1100), Austin, TX USA
| | - H Isabel Hubbard
- College of Health Sciences, University of Kentucky, 900 S. Limestone, Lexington, KY, USA
| | - Lisa D Wauters
- Department of Speech, Language and Hearing Sciences, University of Texas at Austin, 2504A Whitis Avenue (A1100), Austin, TX USA
| | - Lindsey Wineholt
- Department of Speech, Language and Hearing Sciences, University of Texas at Austin, 2504A Whitis Avenue (A1100), Austin, TX USA
| | - Stephen M Wilson
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, 1215 21st Ave S, Nashville, TN, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, University of California, San Francisco. 675 Nelson Rising Lane (Suite 190), San Francisco, CA USA
| | - Maya L Henry
- Department of Speech, Language and Hearing Sciences, University of Texas at Austin, 2504A Whitis Avenue (A1100), Austin, TX USA; Department of Neurology, Dell Medical School, University of Texas at Austin, 1601 Trinity St., Bldg. B, Stop Z0700, Austin, TX USA
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30
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Kang W, Ju C, Joo J, Lee J, Shon YM, Park SM. Closed-loop direct control of seizure focus in a rodent model of temporal lobe epilepsy via localized electric fields applied sequentially. Nat Commun 2022; 13:7805. [PMID: 36528681 PMCID: PMC9759546 DOI: 10.1038/s41467-022-35540-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 12/09/2022] [Indexed: 12/23/2022] Open
Abstract
Direct electrical stimulation of the seizure focus can achieve the early termination of epileptic oscillations. However, direct intervention of the hippocampus, the most prevalent seizure focus in temporal lobe epilepsy is thought to be not practicable due to its large size and elongated shape. Here, in a rat model, we report a sequential narrow-field stimulation method for terminating seizures, while focusing stimulus energy at the spatially extensive hippocampal structure. The effects and regional specificity of this method were demonstrated via electrophysiological and biological responses. Our proposed modality demonstrates spatiotemporal preciseness and selectiveness for modulating the pathological target region which may have potential for further investigation as a therapeutic approach.
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Affiliation(s)
- Wonok Kang
- School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
- Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Chanyang Ju
- Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Jaesoon Joo
- Biomedical Engineering Research Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, 06351, South Korea
| | - Jiho Lee
- Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea
| | - Young-Min Shon
- Biomedical Engineering Research Center, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, 06351, South Korea.
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, 06351, Republic of Korea.
| | - Sung-Min Park
- School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
- Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
- Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
- Institute of Convergence Science, Yonsei University, Seoul, 03722, Republic of Korea.
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31
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Gunnarsdottir KM, Li A, Smith RJ, Kang JY, Korzeniewska A, Crone NE, Rouse AG, Cheng JJ, Kinsman MJ, Landazuri P, Uysal U, Ulloa CM, Cameron N, Cajigas I, Jagid J, Kanner A, Elarjani T, Bicchi MM, Inati S, Zaghloul KA, Boerwinkle VL, Wyckoff S, Barot N, Gonzalez-Martinez J, Sarma SV. Source-sink connectivity: a novel interictal EEG marker for seizure localization. Brain 2022; 145:3901-3915. [PMID: 36412516 PMCID: PMC10200292 DOI: 10.1093/brain/awac300] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 07/05/2022] [Accepted: 08/01/2022] [Indexed: 07/26/2023] Open
Abstract
Over 15 million epilepsy patients worldwide have drug-resistant epilepsy. Successful surgery is a standard of care treatment but can only be achieved through complete resection or disconnection of the epileptogenic zone, the brain region(s) where seizures originate. Surgical success rates vary between 20% and 80%, because no clinically validated biological markers of the epileptogenic zone exist. Localizing the epileptogenic zone is a costly and time-consuming process, which often requires days to weeks of intracranial EEG (iEEG) monitoring. Clinicians visually inspect iEEG data to identify abnormal activity on individual channels occurring immediately before seizures or spikes that occur interictally (i.e. between seizures). In the end, the clinical standard mainly relies on a small proportion of the iEEG data captured to assist in epileptogenic zone localization (minutes of seizure data versus days of recordings), missing opportunities to leverage these largely ignored interictal data to better diagnose and treat patients. IEEG offers a unique opportunity to observe epileptic cortical network dynamics but waiting for seizures increases patient risks associated with invasive monitoring. In this study, we aimed to leverage interictal iEEG data by developing a new network-based interictal iEEG marker of the epileptogenic zone. We hypothesized that when a patient is not clinically seizing, it is because the epileptogenic zone is inhibited by other regions. We developed an algorithm that identifies two groups of nodes from the interictal iEEG network: those that are continuously inhibiting a set of neighbouring nodes ('sources') and the inhibited nodes themselves ('sinks'). Specifically, patient-specific dynamical network models were estimated from minutes of iEEG and their connectivity properties revealed top sources and sinks in the network, with each node being quantified by source-sink metrics. We validated the algorithm in a retrospective analysis of 65 patients. The source-sink metrics identified epileptogenic regions with 73% accuracy and clinicians agreed with the algorithm in 93% of seizure-free patients. The algorithm was further validated by using the metrics of the annotated epileptogenic zone to predict surgical outcomes. The source-sink metrics predicted outcomes with an accuracy of 79% compared to an accuracy of 43% for clinicians' predictions (surgical success rate of this dataset). In failed outcomes, we identified brain regions with high metrics that were untreated. When compared with high frequency oscillations, the most commonly proposed interictal iEEG feature for epileptogenic zone localization, source-sink metrics outperformed in predictive power (by a factor of 1.2), suggesting they may be an interictal iEEG fingerprint of the epileptogenic zone.
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Affiliation(s)
| | - Adam Li
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Rachel J Smith
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Joon-Yi Kang
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Anna Korzeniewska
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Nathan E Crone
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Adam G Rouse
- Department of Neurosurgery, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Jennifer J Cheng
- Department of Neurosurgery, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Michael J Kinsman
- Department of Neurosurgery, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Patrick Landazuri
- Department of Neurosurgery, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Utku Uysal
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Carol M Ulloa
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Nathaniel Cameron
- Department of Neurosurgery, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Iahn Cajigas
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Jonathan Jagid
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Andres Kanner
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Turki Elarjani
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Manuel Melo Bicchi
- Department of Neurosurgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Sara Inati
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Kareem A Zaghloul
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Varina L Boerwinkle
- Barrow Neurological Institute, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Sarah Wyckoff
- Barrow Neurological Institute, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA
| | - Niravkumar Barot
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | | | - Sridevi V Sarma
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
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32
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Dalton MA, D'Souza A, Lv J, Calamante F. New insights into anatomical connectivity along the anterior–posterior axis of the human hippocampus using in vivo quantitative fibre tracking. eLife 2022; 11:76143. [PMID: 36345716 PMCID: PMC9643002 DOI: 10.7554/elife.76143] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 09/16/2022] [Indexed: 11/09/2022] Open
Abstract
The hippocampus supports multiple cognitive functions including episodic memory. Recent work has highlighted functional differences along the anterior–posterior axis of the human hippocampus, but the neuroanatomical underpinnings of these differences remain unclear. We leveraged track-density imaging to systematically examine anatomical connectivity between the cortical mantle and the anterior–posterior axis of the in vivo human hippocampus. We first identified the most highly connected cortical areas and detailed the degree to which they preferentially connect along the anterior–posterior axis of the hippocampus. Then, using a tractography pipeline specifically tailored to measure the location and density of streamline endpoints within the hippocampus, we characterised where these cortical areas preferentially connect within the hippocampus. Our results provide new and detailed insights into how specific regions along the anterior–posterior axis of the hippocampus are associated with different cortical inputs/outputs and provide evidence that both gradients and circumscribed areas of dense extrinsic anatomical connectivity exist within the human hippocampus. These findings inform conceptual debates in the field and emphasise the importance of considering the hippocampus as a heterogeneous structure. Overall, our results represent a major advance in our ability to map the anatomical connectivity of the human hippocampus in vivo and inform our understanding of the neural architecture of hippocampal-dependent memory systems in the human brain. The brain allows us to perceive and interact with our environment and to create and recall memories about our day-to-day lives. A sea-horse shaped structure in the brain, called the hippocampus, is critical for translating our perceptions into memories, and it does so in coordination with other brain regions. For example, different regions of the cerebral cortex (the outer layer of the brain) support different aspects of cognition, and pathways of information flow between the cerebral cortex and hippocampus underpin the healthy functioning of memory. Decades of research conducted into the brains of non-human primates show that specific regions of the cerebral cortex anatomically connect with different parts of the hippocampus to support this information flow. These insights form the foundation for existing theoretical models of how networks of neurons in the hippocampus and the cerebral cortex are connected. However, the human cerebral cortex has greatly expanded during our evolution, meaning that patterns of connectivity in the human brain may diverge from those in the brains of non-human primates. Deciphering human brain circuits in greater detail is crucial if we are to gain a better understanding of the structure and operation of the healthy human brain. However, obtaining comprehensive maps of anatomical connections between the hippocampus and cerebral cortex has been hampered by technical limitations. For example, magnetic resonance imaging (MRI), an approach that can be used to study the living human brain, suffers from insufficient image resolution. To overcome these issues, Dalton et al. used an imaging technique called diffusion weighted imaging which is used to study white matter pathways in the brain. They developed a tailored approach to create high-resolution maps showing how the hippocampus anatomically connects with the cerebral cortex in the healthy human brain. Dalton et al. produced detailed maps illustrating which areas of the cerebral cortex have high anatomical connectivity with the hippocampus and how different parts of the hippocampus preferentially connect to different neural circuits in the cortex. For example, the experiments demonstrate that highly connected areas in a cortical region called the temporal cortex connect to very specific, circumscribed regions within the hippocampus. These findings suggest that the hippocampus may consist of different neural circuits, each preferentially linked to defined areas of the cortex which are, in turn, associated with specific aspects of cognition. These observations further our knowledge of hippocampal-dependant memory circuits in the human brain and provide a foundation for the study of memory decline in aging and neurodegenerative diseases.
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Affiliation(s)
- Marshall A Dalton
- School of Biomedical Engineering, Faculty of Engineering, The University of Sydney
- Brain and Mind Centre, The University of Sydney
- School of Psychology, Faculty of Science, The University of Sydney
| | - Arkiev D'Souza
- Brain and Mind Centre, The University of Sydney
- Faculty of Medicine and Health Translational Research Collective, The University of Sydney
- Sydney Imaging, University of Sydney
| | - Jinglei Lv
- School of Biomedical Engineering, Faculty of Engineering, The University of Sydney
- Brain and Mind Centre, The University of Sydney
| | - Fernando Calamante
- School of Biomedical Engineering, Faculty of Engineering, The University of Sydney
- Brain and Mind Centre, The University of Sydney
- Sydney Imaging, University of Sydney
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33
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Vilà-Balló A, De la Cruz-Puebla M, López-Barroso D, Miró J, Sala-Padró J, Cucurell D, Falip M, Rodríguez-Fornells A. Reward-based decision-making in mesial temporal lobe epilepsy patients with unilateral hippocampal sclerosis pre- and post-surgery. Neuroimage Clin 2022; 36:103251. [PMID: 36510413 PMCID: PMC9668642 DOI: 10.1016/j.nicl.2022.103251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Correct functioning of the reward processing system is critical for optimizing decision-making as well as preventing the development of addictions and/or neuropsychiatric symptoms such as depression, apathy, and anhedonia. Consequently, patients with mesial temporal lobe epilepsy due to unilateral hippocampal sclerosis (mTLE-UHS) represent an excellent opportunity to study the brain networks involved in this system. OBJECTIVE The aim of the current study was to evaluate decision-making and the electrophysiological correlates of feedback processing in a sample of mTLE-UHS patients, compared to healthy controls. In addition, we assessed the impact of mesial temporal lobe surgical resection on these processes, as well as general, neuropsychological functioning. METHOD 17 mTLE-UHS patients and 17 matched healthy controls completed: [1] a computerized version of the Game of Dice Task, [2] a Standard Iowa Gambling Task, and [3] a modified ERP version of a probabilistic gambling task coupled with multichannel electroencephalography. Neuropsychological scores were also obtained both pre- and post-surgery. RESULTS Behavioral analyses showed a pattern of increased risk for the mTLE-UHS group in decision-making under ambiguity compared to the control group. A decrease in the amplitude of the Feedback Related Negativity (FRN), a weaker effect of valence on delta power, and a general reduction of delta and theta power in the mTLE-UHS group, as compared to the control group, were also found. The beta-gamma activity associated with the delivery of positive reward was similar in both groups. Behavioral performance and electrophysiological measures did not worsen post-surgery. CONCLUSIONS Patients with mTLE-UHS showed impairments in decision-making under ambiguity, particularly when they had to make decisions based on the outcomes of their choices, but not in decision-making under risk. No group differences were observed in decision-making when feedbacks were random. These results might be explained by the abnormal feedback processing seen in the EEG activity of patients with mTLE-UHS, and by concomitant impairments in working memory, and memory. These impairments may be linked to the disruption of mesial temporal lobe networks. Finally, feedback processing and decision-making under ambiguity were already affected in mTLE-UHS patients pre-surgery and did not show evidence of clear worsening post-surgery.
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Affiliation(s)
- Adrià Vilà-Balló
- Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain,Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain,Institute of Neurosciences, University of Barcelona, Barcelona, Spain.,Headache and Neurological Pain Research Group, Vall d’Hebron Research Institute, Autonomous University of Barcelona, Barcelona, Spain,Department of Psychology, Faculty of Education and Psychology, University of Girona, Girona, Spain,Corresponding authors.
| | - Myriam De la Cruz-Puebla
- Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain,Institute of Neurosciences, University of Barcelona, Barcelona, Spain.,Department of Cellular Biology, Physiology, and Immunology, Neurosciences Institute, Autonomous University of Barcelona, Barcelona, Spain,Department of Equity in Brain Health, Global Brain Health Institute (GBHI), University of California, San Francisco (UCSF), CA, USA,Department of Internal Medicine, Health Sciences Faculty, Technical University of Ambato, Tungurahua, Ecuador,Dept. of Psychobiology and Methodology of Behavioural Sciences, Faculty of Psychology, University of Málaga, Málaga, Spain
| | - Diana López-Barroso
- Cognitive Neurology and Aphasia Unit, Centro de Investigaciones Médico-Sanitarias, University of Málaga, Málaga, Spain,Instituto de Investigación Biomédica de Málaga-IBIMA, Málaga, Spain,Dept. of Psychobiology and Methodology of Behavioural Sciences, Faculty of Psychology, University of Málaga, Málaga, Spain
| | - Júlia Miró
- Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain,Institute of Neurosciences, University of Barcelona, Barcelona, Spain.,Epilepsy Unit, Neurological Service, Neurology and Genetics Group, Neuroscience Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Jacint Sala-Padró
- Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain,Institute of Neurosciences, University of Barcelona, Barcelona, Spain.,Dept. of Psychobiology and Methodology of Behavioural Sciences, Faculty of Psychology, University of Málaga, Málaga, Spain
| | - David Cucurell
- Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain,Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain,Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Mercè Falip
- Epilepsy Unit, Neurological Service, Neurology and Genetics Group, Neuroscience Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Antoni Rodríguez-Fornells
- Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain,Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain,Institute of Neurosciences, University of Barcelona, Barcelona, Spain.,Catalan Institution for Research and Advanced Studies, ICREA, Barcelona, Spain
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Cansino S. Brain connectivity changes associated with episodic recollection decline in aging: A review of fMRI studies. Front Aging Neurosci 2022; 14:1012870. [PMID: 36389073 PMCID: PMC9640923 DOI: 10.3389/fnagi.2022.1012870] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 09/28/2022] [Indexed: 12/03/2022] Open
Abstract
With advancing age, individuals experience a gradual decline in recollection, the ability to retrieve personal experiences accompanied by details, such as temporal and spatial contextual information. Numerous studies have identified several brain regions that exhibit age-related activation differences during recollection tasks. More recently, an increasing number of studies have provided evidence regarding how brain connectivity among the regions supporting recollection contributes to the explanation of recollection deficits in aging. However, brain connectivity evidence has not been examined jointly to provide an integrative view of how these new findings have improved our knowledge of the neurofunctional changes underlying the recollection deficits associated with aging. Therefore, the aim of the present study was to examine functional magnetic resonance imaging (fMRI) studies that employed one of the numerous methods available for analyzing brain connectivity in older adults. Only studies that applied connectivity analysis to data recorded during episodic recollection tasks, either during encoding or retrieval, were assessed. First, the different brain connectivity analysis methods and the information conveyed were briefly described. Then, the brain connectivity findings from the different studies were described and discussed to provide an integrative point of view of how these findings explain the decline in recollection associated with aging. The studies reviewed provide evidence that the hippocampus consistently decreased its connectivity with the parahippocampal gyrus and the posterior cingulate cortex, essential regions of the recollection network, in older adults relative to young adults. In addition, older adults exhibited increased connectivity between the hippocampus and several widespread regions compared to young adults. The increased connectivity was interpreted as brain intensification recourse to overcome recollection decay. Additionally, suggestions for future research in the field are outlined.
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Schevenels K, Michiels L, Lemmens R, De Smedt B, Zink I, Vandermosten M. The role of the hippocampus in statistical learning and language recovery in persons with post stroke aphasia. Neuroimage Clin 2022; 36:103243. [PMID: 36306718 PMCID: PMC9668653 DOI: 10.1016/j.nicl.2022.103243] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 11/11/2022]
Abstract
Although several studies have aimed for accurate predictions of language recovery in post stroke aphasia, individual language outcomes remain hard to predict. Large-scale prediction models are built using data from patients mainly in the chronic phase after stroke, although it is clinically more relevant to consider data from the acute phase. Previous research has mainly focused on deficits, i.e., behavioral deficits or specific brain damage, rather than compensatory mechanisms, i.e., intact cognitive skills or undamaged brain regions. One such unexplored brain region that might support language (re)learning in aphasia is the hippocampus, a region that has commonly been associated with an individual's learning potential, including statistical learning. This refers to a set of mechanisms upon which we rely heavily in daily life to learn a range of regularities across cognitive domains. Against this background, thirty-three patients with aphasia (22 males and 11 females, M = 69.76 years, SD = 10.57 years) were followed for 1 year in the acute (1-2 weeks), subacute (3-6 months) and chronic phase (9-12 months) post stroke. We evaluated the unique predictive value of early structural hippocampal measures for short-term and long-term language outcomes (measured by the ANELT). In addition, we investigated whether statistical learning abilities were intact in patients with aphasia using three different tasks: an auditory-linguistic and visual task based on the computation of transitional probabilities and a visuomotor serial reaction time task. Finally, we examined the association of individuals' statistical learning potential with acute measures of hippocampal gray and white matter. Using Bayesian statistics, we found moderate evidence for the contribution of left hippocampal gray matter in the acute phase to the prediction of long-term language outcomes, over and above information on the lesion and the initial language deficit (measured by the ScreeLing). Non-linguistic statistical learning in patients with aphasia, measured in the subacute phase, was intact at the group level compared to 23 healthy older controls (8 males and 15 females, M = 74.09 years, SD = 6.76 years). Visuomotor statistical learning correlated with acute hippocampal gray and white matter. These findings reveal that particularly left hippocampal gray matter in the acute phase is a potential marker of language recovery after stroke, possibly through its statistical learning ability.
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Affiliation(s)
- Klara Schevenels
- Research Group Experimental Oto-Rhino-Laryngology, Department of Neurosciences, KU Leuven, Onderwijs en Navorsing 2 (O&N2), Herestraat 49 box 721, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Onderwijs en Navorsing 5 (O&N 5), Herestraat 49 box 1020, Leuven 3000, Belgium.
| | - Laura Michiels
- Department of Neurology, University Hospitals Leuven, Herestraat 49, Leuven 3000, Belgium; Research Group Experimental Neurology, Department of Neurosciences, KU Leuven, Herestraat 49 box 7003, Leuven 3000, Belgium; Laboratory of Neurobiology, VIB Center for Brain & Disease Research, Onderwijs en Navorsing 5 (O&N 5), Herestraat 49 box 602, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Onderwijs en Navorsing 5 (O&N 5), Herestraat 49 box 1020, Leuven 3000, Belgium.
| | - Robin Lemmens
- Department of Neurology, University Hospitals Leuven, Herestraat 49, Leuven 3000, Belgium; Research Group Experimental Neurology, Department of Neurosciences, KU Leuven, Herestraat 49 box 7003, Leuven 3000, Belgium; Laboratory of Neurobiology, VIB Center for Brain & Disease Research, Onderwijs en Navorsing 5 (O&N 5), Herestraat 49 box 602, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Onderwijs en Navorsing 5 (O&N 5), Herestraat 49 box 1020, Leuven 3000, Belgium.
| | - Bert De Smedt
- Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU leuven, Leopold Vanderkelenstraat 32 box 3765, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Onderwijs en Navorsing 5 (O&N 5), Herestraat 49 box 1020, Leuven 3000, Belgium.
| | - Inge Zink
- Research Group Experimental Oto-Rhino-Laryngology, Department of Neurosciences, KU Leuven, Onderwijs en Navorsing 2 (O&N2), Herestraat 49 box 721, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Onderwijs en Navorsing 5 (O&N 5), Herestraat 49 box 1020, Leuven 3000, Belgium.
| | - Maaike Vandermosten
- Research Group Experimental Oto-Rhino-Laryngology, Department of Neurosciences, KU Leuven, Onderwijs en Navorsing 2 (O&N2), Herestraat 49 box 721, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Onderwijs en Navorsing 5 (O&N 5), Herestraat 49 box 1020, Leuven 3000, Belgium.
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Menicucci D, Lunghi C, Zaccaro A, Morrone MC, Gemignani A. Mutual interaction between visual homeostatic plasticity and sleep in adult humans. eLife 2022; 11:70633. [PMID: 35972073 PMCID: PMC9417418 DOI: 10.7554/elife.70633] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Sleep and plasticity are highly interrelated, as sleep slow oscillations and sleep spindles are associated with consolidation of Hebbian-based processes. However, in adult humans, visual cortical plasticity is mainly sustained by homeostatic mechanisms, for which the role of sleep is still largely unknown. Here, we demonstrate that non-REM sleep stabilizes homeostatic plasticity of ocular dominance induced in adult humans by short-term monocular deprivation: the counterintuitive and otherwise transient boost of the deprived eye was preserved at the morning awakening (>6 hr after deprivation). Subjects exhibiting a stronger boost of the deprived eye after sleep had increased sleep spindle density in frontopolar electrodes, suggesting the involvement of distributed processes. Crucially, the individual susceptibility to visual homeostatic plasticity soon after deprivation correlated with the changes in sleep slow oscillations and spindle power in occipital sites, consistent with a modulation in early occipital visual cortex.
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Affiliation(s)
- Danilo Menicucci
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Claudia Lunghi
- Département d'études Cognitives, École Normale Supérieure, UMR 8248 CNRS, Paris, France
| | - Andrea Zaccaro
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Maria Concetta Morrone
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Angelo Gemignani
- Department of Surgical, Medical and Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy
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37
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Grosu C, Trofimova O, Gholam-Rezaee M, Strippoli MPF, Kherif F, Lutti A, Preisig M, Draganski B, Eap CB. CYP2C19 expression modulates affective functioning and hippocampal subiculum volume-a large single-center community-dwelling cohort study. Transl Psychiatry 2022; 12:316. [PMID: 35931695 PMCID: PMC9356029 DOI: 10.1038/s41398-022-02091-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 11/09/2022] Open
Abstract
Given controversial findings of reduced depressive symptom severity and increased hippocampus volume in CYP2C19 poor metabolizers, we sought to provide empirical evidence from a large-scale single-center longitudinal cohort in the community-dwelling adult population-Colaus|PsyCoLaus in Lausanne, Switzerland (n = 4152). We looked for CYP2C19 genotype-related behavioral and brain anatomy patterns using a comprehensive set of psychometry, water diffusion- and relaxometry-based magnetic resonance imaging (MRI) data (BrainLaus, n = 1187). Our statistical models tested for differential associations between poor metabolizer and other metabolizer status with imaging-derived indices of brain volume and tissue properties that explain individuals' current and lifetime mood characteristics. The observed association between CYP2C19 genotype and lifetime affective status showing higher functioning scores in poor metabolizers, was mainly driven by female participants (ß = 3.9, p = 0.010). There was no difference in total hippocampus volume between poor metabolizer and other metabolizer, though there was higher subiculum volume in the right hippocampus of poor metabolizers (ß = 0.03, pFDRcorrected = 0.036). Our study supports the notion of association between mood phenotype and CYP2C19 genotype, however, finds no evidence for concomitant hippocampus volume differences, with the exception of the right subiculum.
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Affiliation(s)
- Claire Grosu
- grid.9851.50000 0001 2165 4204Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Olga Trofimova
- grid.9851.50000 0001 2165 4204Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neuroscience, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Mehdi Gholam-Rezaee
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Marie-Pierre F. Strippoli
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Ferath Kherif
- grid.9851.50000 0001 2165 4204Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neuroscience, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Antoine Lutti
- grid.9851.50000 0001 2165 4204Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neuroscience, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- grid.9851.50000 0001 2165 4204Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Bogdan Draganski
- Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neuroscience, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland. .,Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Chin B. Eap
- grid.9851.50000 0001 2165 4204Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland ,grid.8591.50000 0001 2322 4988School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland ,grid.9851.50000 0001 2165 4204Center for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland ,grid.9851.50000 0001 2165 4204Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, University of Lausanne, Lausanne, Switzerland
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38
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Palmer JR, Wang C, Kong D, Cespedes M, Pye J, Hickie IB, Barnett M, Naismith SL. Rest-activity rhythms and tract specific white matter lesions in older adults at risk for cognitive decline. Mol Psychiatry 2022; 27:3410-3416. [PMID: 35764707 PMCID: PMC9708592 DOI: 10.1038/s41380-022-01641-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 03/04/2022] [Accepted: 05/23/2022] [Indexed: 11/09/2022]
Abstract
White matter lesions (WMLs) are common in older adults and represent an important predictor of negative long-term outcomes. Rest-activity rhythm disturbance is also common, however, few studies have investigated associations between these factors. We employed a novel AI-based automatic WML segmentation tool and diffusion-weighted tractography to investigate associations between tract specific WML volumes and non-parametric actigraphy measures in older adults at risk for cognitive decline. The primary non-parametric measures of interest were inter-daily stability (IS), intra-daily variability and relative amplitude, with the anterior thalamic radiation (ATR), superior longitudinal fasciculus (SLF) and inferior longitudinal fasciculus (ILF) selected as tracts of interest. One hundred and eight participants at risk for cognitive decline (classified as experiencing subjective or objective cognitive decline) were included (mean age = 68.85 years, SD = 8.91). Of the primary non-parametric measures of interest, results showed that lower IS was associated with a greater likelihood of higher WML burden in the ATR (OR = 1.82, 95% CI [1.12,3.15]). Analysis of secondary non-parametric measures revealed later onset of the least active period to be associated with greater likelihood of high WML burden in the SLF (OR = 1.55, 95% CI [1.00,2.53]) and increased activity during the least active 5-h period to be associated with a greater likelihood of high whole-brain WML burden (OR = 1.83, 95% CI [1.06,3.47]). This study shows integrity of the ATR and SLF, and overall WML burden is linked to altered rest-activity rhythms in older adults at risk for cognitive decline, with those demonstrating altered rest-activity rhythms showing 50%-80% higher odds of having high WML burden.
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Affiliation(s)
- Jake R Palmer
- School of Psychology, The University of Sydney, Sydney, NSW, Australia
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Chenyu Wang
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
| | - Dexiao Kong
- School of Psychology, The University of Sydney, Sydney, NSW, Australia
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Marcela Cespedes
- Australian e-Health Research Centre, CSIRO Health and Biosecurity, Herston, QLD, Australia
| | - Jonathon Pye
- School of Psychology, The University of Sydney, Sydney, NSW, Australia
- Susan Wakil School of Nursing and Midwifery, The University of Sydney, Sydney, NSW, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Michael Barnett
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
| | - Sharon L Naismith
- School of Psychology, The University of Sydney, Sydney, NSW, Australia.
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
- NHMRC Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration, Sydney, NSW, Australia.
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Chen YC, Ton That V, Ugonna C, Liu Y, Nadel L, Chou YH. Diffusion MRI-guided theta burst stimulation enhances memory and functional connectivity along the inferior longitudinal fasciculus in mild cognitive impairment. Proc Natl Acad Sci U S A 2022; 119:e2113778119. [PMID: 35594397 PMCID: PMC9173759 DOI: 10.1073/pnas.2113778119] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 04/16/2022] [Indexed: 11/18/2022] Open
Abstract
Mild cognitive impairment (MCI) during aging is often a harbinger of Alzheimer’s disease, and, therefore, early intervention to preserve cognitive abilities before the MCI symptoms become medically refractory is particularly critical. Functional MRI–guided transcranial magnetic stimulation is a promising approach for modulating hippocampal functional connectivity and enhancing memory in healthy adults. Here, we extend these previous findings to individuals with MCI and leverage theta burst stimulation (TBS) and white matter tractography derived from diffusion-weighted MRI to target the hippocampus. Our preliminary findings suggested that TBS could be used to improve associative memory performance and increase resting-state functional connectivity of the hippocampus and other brain regions, including the occipital fusiform, frontal orbital cortex, putamen, posterior parahippocampal gyrus, and temporal pole, along the inferior longitudinal fasciculus in MCI. Although the sample size is small, these results shed light on how TBS propagates from the superficial cortex around the parietal lobe to the hippocampus.
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Affiliation(s)
- Yu-Chin Chen
- Department of Psychology, University of Arizona, Tucson, AZ 85721
| | - Viet Ton That
- Department of Psychology, University of Arizona, Tucson, AZ 85721
| | - Chidi Ugonna
- Department of Psychology, University of Arizona, Tucson, AZ 85721
| | - Yilin Liu
- Department of Psychology, University of Arizona, Tucson, AZ 85721
| | - Lynn Nadel
- Department of Psychology, University of Arizona, Tucson, AZ 85721
- Program in Cognitive Science, University of Arizona, Tucson, AZ 85721
| | - Ying-hui Chou
- Department of Psychology, University of Arizona, Tucson, AZ 85721
- Program in Cognitive Science, University of Arizona, Tucson, AZ 85721
- Evelyn F McKnight Brain Institute, Tucson, AZ 85721
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Zavaliangos‐Petropulu A, Lo B, Donnelly MR, Schweighofer N, Lohse K, Jahanshad N, Barisano G, Banaj N, Borich MR, Boyd LA, Buetefisch CM, Byblow WD, Cassidy JM, Charalambous CC, Conforto AB, DiCarlo JA, Dula AN, Egorova‐Brumley N, Etherton MR, Feng W, Fercho KA, Geranmayeh F, Hanlon CA, Hayward KS, Hordacre B, Kautz SA, Khlif MS, Kim H, Kuceyeski A, Lin DJ, Liu J, Lotze M, MacIntosh BJ, Margetis JL, Mohamed FB, Piras F, Ramos‐Murguialday A, Revill KP, Roberts PS, Robertson AD, Schambra HM, Seo NJ, Shiroishi MS, Stinear CM, Soekadar SR, Spalletta G, Taga M, Tang WK, Thielman GT, Vecchio D, Ward NS, Westlye LT, Werden E, Winstein C, Wittenberg GF, Wolf SL, Wong KA, Yu C, Brodtmann A, Cramer SC, Thompson PM, Liew S. Chronic Stroke Sensorimotor Impairment Is Related to Smaller Hippocampal Volumes: An ENIGMA Analysis. J Am Heart Assoc 2022; 11:e025109. [PMID: 35574963 PMCID: PMC9238563 DOI: 10.1161/jaha.121.025109] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/29/2022] [Indexed: 11/22/2022]
Abstract
Background Persistent sensorimotor impairments after stroke can negatively impact quality of life. The hippocampus is vulnerable to poststroke secondary degeneration and is involved in sensorimotor behavior but has not been widely studied within the context of poststroke upper-limb sensorimotor impairment. We investigated associations between non-lesioned hippocampal volume and upper limb sensorimotor impairment in people with chronic stroke, hypothesizing that smaller ipsilesional hippocampal volumes would be associated with greater sensorimotor impairment. Methods and Results Cross-sectional T1-weighted magnetic resonance images of the brain were pooled from 357 participants with chronic stroke from 18 research cohorts of the ENIGMA (Enhancing NeuoImaging Genetics through Meta-Analysis) Stroke Recovery Working Group. Sensorimotor impairment was estimated from the FMA-UE (Fugl-Meyer Assessment of Upper Extremity). Robust mixed-effects linear models were used to test associations between poststroke sensorimotor impairment and hippocampal volumes (ipsilesional and contralesional separately; Bonferroni-corrected, P<0.025), controlling for age, sex, lesion volume, and lesioned hemisphere. In exploratory analyses, we tested for a sensorimotor impairment and sex interaction and relationships between lesion volume, sensorimotor damage, and hippocampal volume. Greater sensorimotor impairment was significantly associated with ipsilesional (P=0.005; β=0.16) but not contralesional (P=0.96; β=0.003) hippocampal volume, independent of lesion volume and other covariates (P=0.001; β=0.26). Women showed progressively worsening sensorimotor impairment with smaller ipsilesional (P=0.008; β=-0.26) and contralesional (P=0.006; β=-0.27) hippocampal volumes compared with men. Hippocampal volume was associated with lesion size (P<0.001; β=-0.21) and extent of sensorimotor damage (P=0.003; β=-0.15). Conclusions The present study identifies novel associations between chronic poststroke sensorimotor impairment and ipsilesional hippocampal volume that are not caused by lesion size and may be stronger in women.
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Affiliation(s)
- Artemis Zavaliangos‐Petropulu
- Mark and Mary Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, University of Southern CaliforniaLos AngelesCA
- Neuroscience Graduate ProgramUniversity of Southern CaliforniaLos AngelesCA
| | - Bethany Lo
- Chan Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCA
| | - Miranda R. Donnelly
- Chan Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCA
| | - Nicolas Schweighofer
- Biokinesiology and Physical TherapyUniversity of Southern CaliforniaLos AngelesCA
| | - Keith Lohse
- Physical Therapy and NeurologyWashington University School of Medicine in Saint LouisMO
| | - Neda Jahanshad
- Mark and Mary Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, University of Southern CaliforniaLos AngelesCA
| | - Giuseppe Barisano
- Mark and Mary Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, University of Southern CaliforniaLos AngelesCA
- Neuroscience Graduate ProgramUniversity of Southern CaliforniaLos AngelesCA
| | - Nerisa Banaj
- Laboratory of NeuropsychiatryIRCCS Santa Lucia FoundationRomeItaly
| | - Michael R. Borich
- Division of Physical TherapyDepartment of Rehabilitation MedicineEmory University School of MedicineAtlantaGA
| | - Lara A. Boyd
- Department of Physical TherapyUniversity of British ColumbiaVancouverCanada
| | | | - Winston D. Byblow
- Department of Exercise Sciences, and Centre for Brain ResearchUniversity of AucklandNew Zealand
| | - Jessica M. Cassidy
- Department of Allied Health SciencesUniversity of North Carolina at Chapel HillNC
| | - Charalambos C. Charalambous
- Department of Basic and Clinical SciencesUniversity of Nicosia Medical SchoolNicosiaCyprus
- Center for Neuroscience and Integrative Brain Research (CENIBRE)NicosiaCyprus
| | - Adriana B. Conforto
- Hospital das ClínicasSão Paulo UniversitySão PauloBrazil
- Hospital Israelita Albert EinsteinSão PauloBrazil
| | - Julie A. DiCarlo
- Center for Neurotechnology and Neurorecovery (CNTR)Massachusetts General HospitalBostonMA
| | - Adrienne N. Dula
- Department of NeurologyDell Medical SchoolUniversity of Texas at AustinTX
| | | | - Mark R. Etherton
- Department of NeurologyJ. Philip Kistler Stroke Research CenterMassachusetts General HospitalBostonMA
| | - Wuwei Feng
- Department of NeurologyDuke University School of MedicineDurhamNC
| | - Kelene A. Fercho
- Basic Biomedical SciencesUniversity of South DakotaVermillionSD
- Federal Aviation AdministrationCivil Aerospace Medical InstituteOklahoma CityOK
| | | | | | - Kathryn S. Hayward
- Departments of Physiotherapy and Medicine, University of MelbourneHeidelbergVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthHeidelbergVictoriaAustralia
| | - Brenton Hordacre
- Innovation, Implementation and Clinical Translation (IIMPACT) in HealthAllied Health and Human PerformanceUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Steven A. Kautz
- Ralph H Johnson Veterans Affairs Medical CenterCharlestonSC
- Department of Health Sciences & ResearchMedical University of South CarolinaCharlestonSC
| | - Mohamed Salah Khlif
- The Florey Institute of Neuroscience and Mental HealthHeidelbergVictoriaAustralia
| | - Hosung Kim
- Mark and Mary Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, University of Southern CaliforniaLos AngelesCA
| | - Amy Kuceyeski
- Department of RadiologyWeill Cornell MedicineNew YorkNY
| | - David J. Lin
- Center for Neurotechnology and Neurorecovery (CNTR)Massachusetts General HospitalBostonMA
| | - Jingchun Liu
- Department of RadiologyTianjin Medical University General HospitalTianjinChina
| | - Martin Lotze
- Functional ImagingInstitute for Diagnostic Radiology and NeuroradiologyUniversity Medicine GreifswaldGermany
| | - Bradley J. MacIntosh
- Hurvitz Brain Sciences ProgramSunnybrook Research InstituteTorontoCanada
- Department of Medical BiophysicsUniversity of TorontoOntarioCanada
| | - John L. Margetis
- Chan Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCA
| | - Feroze B. Mohamed
- Department of RadiologyJefferson Integrated MR CenterThomas Jefferson UniversityPhiladelphiaPA
| | - Fabrizio Piras
- Laboratory of NeuropsychiatryIRCCS Santa Lucia FoundationRomeItaly
| | - Ander Ramos‐Murguialday
- Institute of Medical Psychology and Behavioral NeurobiologyUniversity of TübingenGermany
- Health DivisionTECNALIASan SebastianSpain
| | | | - Pamela S. Roberts
- Chan Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCA
- Department of Physical Medicine and RehabilitationCedars‐SinaiLos AngelesCA
| | - Andrew D. Robertson
- Department of Kinesiology and Health SciencesUniversity of WaterlooOntarioCanada
| | - Heidi M. Schambra
- Departments of Neurology & Rehabilitation MedicineNYU LangoneNew YorkNY
| | - Na Jin Seo
- Ralph H Johnson Veterans Affairs Medical CenterCharlestonSC
- Department of Rehabilitation SciencesDepartment of Health Science and ResearchMedical University of South CarolinaCharlestonSC
| | - Mark S. Shiroishi
- Mark and Mary Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, University of Southern CaliforniaLos AngelesCA
- Department of RadiologyKeck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | | | - Surjo R. Soekadar
- Clinical Neurotechnology LaboratoryDepartment of Psychiatry and Neurosciences (CCM)Charité ‐ Universitätsmedizin BerlinBerlinGermany
| | | | - Myriam Taga
- NYU Langone Department of NeurologyNew YorkNY
| | - Wai Kwong Tang
- Department of PsychiatryThe Chinese University of Hong KongChina
| | - Gregory T. Thielman
- Department of Physical Therapy and NeuroscienceUniversity of the SciencesPhiladelphiaPA
| | - Daniela Vecchio
- Laboratory of NeuropsychiatryIRCCS Santa Lucia FoundationRomeItaly
| | - Nick S. Ward
- University College London Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloNorway
- Department of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Emilio Werden
- The Florey Institute of Neuroscience and Mental HealthHeidelbergVictoriaAustralia
- Melbourne Dementia Research CenterUniversity of MelbourneVictoriaAustralia
| | - Carolee Winstein
- Biokinesiology and Physical TherapyUniversity of Southern CaliforniaLos AngelesCA
| | - George F. Wittenberg
- Department of NeurologyUniversity of PittsburghPA
- Department of Veterans AffairsGeriatrics Research Educational & Clinical CenterVeterans Affairs Pittsburgh Healthcare System (VAPHS)PittsburghPA
| | - Steven L. Wolf
- Division of Physical TherapyDepartment of Rehabilitation MedicineEmory University School of MedicineAtlantaGA
- Department of MedicineEmory University School of MedicineAtlantaGA
| | - Kristin A. Wong
- Department of Physical Medicine & RehabilitationDell Medical SchoolUniversity of Texas at AustinTX
| | - Chunshui Yu
- Department of RadiologyTianjin Medical University General HospitalTianjinChina
| | - Amy Brodtmann
- The Florey Institute of Neuroscience and Mental HealthHeidelbergVictoriaAustralia
| | - Steven C. Cramer
- Department of NeurologyUniversity of California Los AngelesDavid Geffen School of MedicineLos AngelesCA
- California Rehabilitation HospitalLos AngelesCA
| | - Paul M. Thompson
- Mark and Mary Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, University of Southern CaliforniaLos AngelesCA
| | - Sook‐Lei Liew
- Mark and Mary Stevens Neuroimaging and Informatics InstituteKeck School of Medicine, University of Southern CaliforniaLos AngelesCA
- Chan Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCA
- Biokinesiology and Physical TherapyUniversity of Southern CaliforniaLos AngelesCA
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Zhang X, Guan Q, Li Y, Zhang J, Zhu W, Luo Y, Zhang H. Aberrant Cross-Tissue Functional Connectivity in Alzheimer’s Disease: Static, Dynamic, and Directional Properties. J Alzheimers Dis 2022; 88:273-290. [DOI: 10.3233/jad-215649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: BOLD signals in the gray matter (GM) and white matter (WM) are tightly coupled. However, our understanding of the cross-tissue functional network in Alzheimer’s disease (AD) is limited. Objective: We investigated the changes of cross-tissue functional connectivity (FC) metrics for the GM regions susceptible to AD damage. Methods: For each GM region in the default mode (DMN) and limbic networks, we obtained its low-order static FC with any WM region, and the high-order static FC between any two WM regions based on their FC pattern similarity with multiple GM regions. The dynamic and directional properties of cross-tissue FC were then acquired, specifically for the regional pairs whose low- or high-order static FCs showed significant differences between AD and normal control (NC). Moreover, these cross-tissue FC metrics were correlated with voxel-based GM volumes and MMSE in all participants. Results: Compared to NC, AD patients showed decreased low-order static FCs between the intra-hemispheric GM-WM pairs (right ITG-right fornix; left MoFG-left posterior corona radiata), and increased low-order static, dynamic, and directional FCs between the inter-hemispheric GM-WM pairs (right MTG-left superior/posterior corona radiata). The high-order static and directional FCs between the left cingulate bundle-left tapetum were increased in AD, based on their FCs with the GMs of DMN. Those decreased and increased cross-tissue FC metrics in AD had opposite correlations with memory-related GM volumes and MMSE (positive for the decreased and negative for the increased). Conclusion: Cross-tissue FC metrics showed opposite changes in AD, possibly as useful neuroimaging biomarkers to reflect neurodegenerative and compensatory mechanisms.
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Affiliation(s)
- Xingxing Zhang
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Qing Guan
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Yingjia Li
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Jianfeng Zhang
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Wanlin Zhu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuejia Luo
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Haobo Zhang
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
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42
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Prenatal and Postnatal Choline Supplementation in Fetal Alcohol Spectrum Disorder. Nutrients 2022; 14:nu14030688. [PMID: 35277047 PMCID: PMC8837993 DOI: 10.3390/nu14030688] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/31/2022] [Accepted: 02/03/2022] [Indexed: 02/04/2023] Open
Abstract
Fetal alcohol spectrum disorder (FASD) is common and represents a significant public health burden, yet very few interventions have been tested in FASD. Cognitive deficits are core features of FASD, ranging from broad intellectual impairment to selective problems in attention, executive functioning, memory, visual–perceptual/motor skills, social cognition, and academics. One potential intervention for the cognitive impairments associated with FASD is the essential nutrient choline, which is known to have numerous direct effects on brain and cognition in both typical and atypical development. We provide a summary of the literature supporting the use of choline as a neurodevelopmental intervention in those affected by prenatal alcohol. We first discuss how alcohol interferes with normal brain development. We then provide a comprehensive overview of the nutrient choline and discuss its role in typical brain development and its application in the optimization of brain development following early insult. Next, we review the preclinical literature that provides evidence of choline’s potential as an intervention following alcohol exposure. Then, we review a handful of existing human studies of choline supplementation in FASD. Lastly, we conclude with a review of practical considerations in choline supplementation, including dose, formulation, and feasibility in children.
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43
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Lindlöf A. The Vulnerability of the Developing Brain: Analysis of Highly Expressed Genes in Infant C57BL/6 Mouse Hippocampus in Relation to Phenotypic Annotation Derived From Mutational Studies. Bioinform Biol Insights 2022; 16:11779322211062722. [PMID: 35023907 PMCID: PMC8743926 DOI: 10.1177/11779322211062722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/03/2021] [Indexed: 12/06/2022] Open
Abstract
The hippocampus has been shown to have a major role in learning and memory, but also to participate in the regulation of emotions. However, its specific role(s) in memory is still unclear. Hippocampal damage or dysfunction mainly results in memory issues, especially in the declarative memory but, in animal studies, has also shown to lead to hyperactivity and difficulty in inhibiting responses previously taught. The brain structure is affected in neuropathological disorders, such as Alzheimer's, epilepsy, and schizophrenia, and also by depression and stress. The hippocampus structure is far from mature at birth and undergoes substantial development throughout infant and juvenile life. The aim of this study was to survey genes highly expressed throughout the postnatal period in mouse hippocampus and which have also been linked to an abnormal phenotype through mutational studies to achieve a greater understanding about hippocampal functions during postnatal development. Publicly available gene expression data from C57BL/6 mouse hippocampus was analyzed; from a total of 5 time points (at postnatal day 1, 10, 15, 21, and 30), 547 genes highly expressed in all of these time points were selected for analysis. Highly expressed genes are considered to be of potential biological importance and appear to be multifunctional, and hence any dysfunction in such a gene will most likely have a large impact on the development of abilities during the postnatal and juvenile period. Phenotypic annotation data downloaded from Mouse Genomic Informatics database were analyzed for these genes, and the results showed that many of them are important for proper embryo development and infant survival, proper growth, and increase in body size, as well as for voluntary movement functions, motor coordination, and balance. The results also indicated an association with seizures that have primarily been characterized by uncontrolled motor activity and the development of proper grooming abilities. The complete list of genes and their phenotypic annotation data have been compiled in a file for easy access.
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44
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Ge X, Zheng Y, Qiao Y, Pan N, Simon JP, Lee M, Jiang W, Kim H, Shi Y, Liu M. Hippocampal Asymmetry of Regional Development and Structural Covariance in Preterm Neonates. Cereb Cortex 2021; 32:4271-4283. [PMID: 34969086 DOI: 10.1093/cercor/bhab481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 11/21/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Premature birth is associated with a high prevalence of neurodevelopmental impairments in surviving infants. The hippocampus is known to be critical for learning and memory, yet the putative effects of hippocampal dysfunction remain poorly understood in preterm neonates. In particular, while asymmetry of the hippocampus has been well noted both structurally and functionally, how preterm birth impairs hippocampal development and to what extent the hippocampus is asymmetrically impaired by preterm birth have not been well delineated. In this study, we compared volumetric growth and shape development in the hippocampal hemispheres and structural covariance (SC) between hippocampal vertices and cortical thickness in cerebral cortex regions between two groups. We found that premature infants had smaller volumes of the right hippocampi only. Lower thickness was observed in the hippocampal head in both hemispheres for preterm neonates compared with full-term peers, though preterm neonates exhibited an accelerated age-related change of hippocampal thickness in the left hippocampi. The SC between the left hippocampi and the limbic lobe of the premature infants was severely impaired compared with the term-born neonates. These findings suggested that the development of the hippocampus during the third trimester may be altered following early extrauterine exposure with a high degree of asymmetry.
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Affiliation(s)
- Xinting Ge
- School of Information Science and Engineering, Shandong Normal University, 250014 Jinan, China.,Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.,School of Medical Imaging, Xuzhou Medical University, 221004 Xuzhou, China
| | - Yuanjie Zheng
- School of Information Science and Engineering, Shandong Normal University, 250014 Jinan, China
| | - Yuchuan Qiao
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Ningning Pan
- School of Information Science and Engineering, Shandong Normal University, 250014 Jinan, China
| | - Julia Pia Simon
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Mitchell Lee
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Wenjuan Jiang
- College of Pharmacy, Western University of Health Sciences, Pomona, CA 91766, USA
| | - Hosung Kim
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yonggang Shi
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Mengting Liu
- Department of Neurology, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
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Abstract
Essential tremor (ET) is one of the most common movement disorders, with a reported >60 million affected individuals worldwide. The definition and underlying pathophysiology of ET are contentious. Patients present primarily with motor features such as postural and action tremors, but may also have other non-motor features, including cognitive impairment and neuropsychiatric symptoms. Genetics account for most of the ET risk but environmental factors may also be involved. However, the variable penetrance and challenges in validating data make gene-environment analysis difficult. Structural changes in cerebellar Purkinje cells and neighbouring neuronal populations have been observed in post-mortem studies, and other studies have found GABAergic dysfunction and dysregulation of the cerebellar-thalamic-cortical circuitry. Commonly prescribed medications include propranolol and primidone. Deep brain stimulation and ultrasound thalamotomy are surgical options in patients with medically intractable ET. Further research in post-mortem studies, and animal and cell-based models may help identify new pathophysiological clues and therapeutic targets and, together with advances in omics and machine learning, may facilitate the development of precision medicine for patients with ET.
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46
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Liu L, Li Z, Zhang Z, Xia Y, Li S, Gao S. Optimal Diffusion Gradient Encoding Scheme for Diffusion Tensor Imaging Based on Golden Ratio. J Magn Reson Imaging 2021; 55:1571-1581. [PMID: 34592036 DOI: 10.1002/jmri.27943] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/17/2021] [Accepted: 09/17/2021] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND The accuracy of the estimated diffusion tensor elements can be improved by using a well-chosen magnetic resonance imaging (MRI) diffusion gradient encoding scheme (DGES). Conversely, diffusion tensor imaging (DTI) is typically challenged by the subject's motion during data acquisition and results in corrupted image data. PURPOSE To identify a reliable DGES based on the golden ratio (GR) that can generate an arbitrary number of uniformly distributed directions to precisely estimate the DTI parameters of partially acquired datasets owing to subject motion. STUDY TYPE Prospective. POPULATION Simulations study; three healthy volunteers. FIELD STRENGTH/SEQUENCE 3 T/DTI data were obtained using a single-shot echo planar imaging sequence. STATISTICAL TESTS A paired sample t-test and the Wilcoxon test were used, P < 0.05 was considered statistically significant. ASSESSMENT Two corrupted scenarios A and B were considered and evaluated. For the simulation study, the GR DGES and generated subsets were compared with the Jones and spiral DGESs by electric potential (EP) and condition number (CN). For the human study, the specific subsets A and B selected from scenarios A and B were used for MRI to evaluate fractional anisotropic (FA) map. RESULTS For the simulation study, the EPs of the GR (14034.25 ± 12957.24) DGES were significantly lower than the Jones (15112.81 ± 13926.08) and spiral (14297.49 ± 13232.94) DGESs. CN variations of GR (1.633 ± 0.024) DGES were significantly lower than Jones (1.688 ± 0.119) and spiral (4.387 ± 2.915) DGESs. For the human study, GR (0.008 ± 0.020) DGES performed similarly with Jones (0.008 ± 0.022) DGES and was superior to spiral (0.022 ± 0.054) DGES in the FA map error. DATA CONCLUSION The GR DGES ensured that directions of the complete sets and subsets were uniform. The GR DGES had lower error propagation sensitivity, which can help image infants or patients who cannot stay still during scanning. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Liangyou Liu
- Institute of Medical Technology, Peking University, Beijing, China
| | - Zhaotong Li
- Institute of Medical Technology, Peking University, Beijing, China
| | - Zeru Zhang
- Institute of Medical Technology, Peking University, Beijing, China
| | - Yifan Xia
- Institute of Medical Technology, Peking University, Beijing, China
| | - Sha Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute, Beijing, China
| | - Song Gao
- Institute of Medical Technology, Peking University, Beijing, China
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47
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Ciolac D, Gonzalez-Escamilla G, Radetz A, Fleischer V, Person M, Johnen A, Landmeyer NC, Krämer J, Muthuraman M, Meuth SG, Groppa S. Sex-specific signatures of intrinsic hippocampal networks and regional integrity underlying cognitive status in multiple sclerosis. Brain Commun 2021; 3:fcab198. [PMID: 34514402 PMCID: PMC8417841 DOI: 10.1093/braincomms/fcab198] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 05/27/2021] [Accepted: 07/15/2021] [Indexed: 11/24/2022] Open
Abstract
The hippocampus is an anatomically compartmentalized structure embedded in highly wired networks that are essential for cognitive functions. The hippocampal vulnerability has been postulated in acute and chronic neuroinflammation in multiple sclerosis, while the patterns of occurring inflammation, neurodegeneration or compensation have not yet been described. Besides focal damage to hippocampal tissue, network disruption is an important contributor to cognitive decline in multiple sclerosis patients. We postulate sex-specific trajectories in hippocampal network reorganization and regional integrity and address their relationship to markers of neuroinflammation, cognitive/memory performance and clinical severity. In a large cohort of multiple sclerosis patients (n = 476; 337 females, age 35 ± 10 years, disease duration 16 ± 14 months) and healthy subjects (n = 110, 54 females; age 34 ± 15 years), we utilized MRI at baseline and at 2-year follow-up to quantify regional hippocampal volumetry and reconstruct single-subject hippocampal networks. Through graph analytical tools we assessed the clustered topology of the hippocampal networks. Mixed-effects analyses served to model sex-based differences in hippocampal network and subfield integrity between multiple sclerosis patients and healthy subjects at both time points and longitudinally. Afterwards, hippocampal network and subfield integrity were related to clinical and radiological variables in dependency of sex attribution. We found a more clustered network architecture in both female and male patients compared to their healthy counterparts. At both time points, female patients displayed a more clustered network topology in comparison to male patients. Over time, multiple sclerosis patients developed an even more clustered network architecture, though with a greater magnitude in females. We detected reduced regional volumes in most of the addressed hippocampal subfields in both female and male patients compared to healthy subjects. Compared to male patients, females displayed lower volumes of para- and presubiculum but higher volumes of the molecular layer. Longitudinally, volumetric alterations were more pronounced in female patients, which showed a more extensive regional tissue loss. Despite a comparable cognitive/memory performance between female and male patients over the follow-up period, we identified a strong interrelation between hippocampal network properties and cognitive/memory performance only in female patients. Our findings evidence a more clustered hippocampal network topology in female patients with a more extensive subfield volume loss over time. A stronger relation between cognitive/memory performance and the network topology in female patients suggests greater entrainment of the brain’s reserve. These results may serve to adapt sex-targeted neuropsychological interventions.
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Affiliation(s)
- Dumitru Ciolac
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany.,Department of Neurology, Institute of Emergency Medicine, Chisinau 2004, Moldova.,Laboratory of Neurobiology and Medical Genetics, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau 2004, Moldova
| | - Gabriel Gonzalez-Escamilla
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Angela Radetz
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Vinzenz Fleischer
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Maren Person
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Andreas Johnen
- Department of Neurology with Institute of Translational Neurology, University Hospital of Münster, Münster 48149, Germany
| | - Nils C Landmeyer
- Department of Neurology with Institute of Translational Neurology, University Hospital of Münster, Münster 48149, Germany
| | - Julia Krämer
- Department of Neurology with Institute of Translational Neurology, University Hospital of Münster, Münster 48149, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Sven G Meuth
- Department of Neurology, Heinrich Heine University, Düsseldorf 40225, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
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48
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Medhi G, Kapadia A, Parida S, C D, Bagepalli BS, M N, Kumar K, Gupta AK, Saini J. Long-term sequelae of herpes simplex virus encephalitis-related white matter injury: correlation of neuropsychological outcome and diffusion tensor imaging. J Neurovirol 2021; 27:601-608. [PMID: 34398444 DOI: 10.1007/s13365-021-01000-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 07/03/2021] [Accepted: 07/05/2021] [Indexed: 11/30/2022]
Abstract
The pathophysiology of the memory impairment following Herpes Simplex virus encephalitis is not yet established and understood. This study attempts to elucidate the role of white matter injury and its impact on neuropsychological outcome in patients with history of Herpes Simplex virus encephalitis. This is a single-institution prospective study assessing 9 patients and 15 matched controls utilizing a combination of MRI with diffusion tensor imaging and neuropsychological testing. Tract-based spatial statistics analysis was performed and correlated with neuropsychological outcomes. Significantly decreased fractional anisotropy (FA) values were noted in corpus callosum, corona radiata, left posterior thalamic radiation, cingulum, superior longitudinal fasciculus, fornix, inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, and uncinated fasciculus. Impaired facial recognition significantly correlated with reduction in FA of right uncinate fasciculus, right inferior longitudinal fasciculus, and splenium genu of corpus callosum. FA value of left cingulum significantly correlated with logical memory, auditory verbal learning. FA value of fornix correlated with visual recognition; FA value of left uncinate fasciculus with auditory verbal learning and delayed recall. In conclusion, this study demonstrates microstructural abnormalities involving several white matter tracts corresponding to neuropsychological deficits.
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Affiliation(s)
- Gorky Medhi
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India.,Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Anish Kapadia
- Department of Medical Imaging, University of Toronto, Toronto, Canada.
| | - Subhendu Parida
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Dhanya C
- Department of Neuropsychology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - B S Bagepalli
- ICMR National Institute of Epidemiology, Chennai, India
| | - Netravathi M
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Keshav Kumar
- Department of Neuropsychology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Arun Kumar Gupta
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India
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49
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Dennis EL, Disner SG, Fani N, Salminen LE, Logue M, Clarke EK, Haswell CC, Averill CL, Baugh LA, Bomyea J, Bruce SE, Cha J, Choi K, Davenport ND, Densmore M, du Plessis S, Forster GL, Frijling JL, Gonenc A, Gruber S, Grupe DW, Guenette JP, Hayes J, Hofmann D, Ipser J, Jovanovic T, Kelly S, Kennis M, Kinzel P, Koch SBJ, Koerte I, Koopowitz S, Korgaonkar M, Krystal J, Lebois LAM, Li G, Magnotta VA, Manthey A, May GJ, Menefee DS, Nawijn L, Nelson SM, Neufeld RWJ, Nitschke JB, O'Doherty D, Peverill M, Ressler KJ, Roos A, Sheridan MA, Sierk A, Simmons A, Simons RM, Simons JS, Stevens J, Suarez-Jimenez B, Sullivan DR, Théberge J, Tran JK, van den Heuvel L, van der Werff SJA, van Rooij SJH, van Zuiden M, Velez C, Verfaellie M, Vermeiren RRJM, Wade BSC, Wager T, Walter H, Winternitz S, Wolff J, York G, Zhu Y, Zhu X, Abdallah CG, Bryant R, Daniels JK, Davidson RJ, Fercho KA, Franz C, Geuze E, Gordon EM, Kaufman ML, Kremen WS, Lagopoulos J, Lanius RA, Lyons MJ, McCauley SR, McGlinchey R, McLaughlin KA, Milberg W, Neria Y, Olff M, Seedat S, Shenton M, Sponheim SR, Stein DJ, Stein MB, Straube T, Tate DF, van der Wee NJA, Veltman DJ, Wang L, Wilde EA, Thompson PM, Kochunov P, Jahanshad N, Morey RA. Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD consortium. Mol Psychiatry 2021; 26:4315-4330. [PMID: 31857689 PMCID: PMC7302988 DOI: 10.1038/s41380-019-0631-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 11/20/2019] [Accepted: 12/02/2019] [Indexed: 01/08/2023]
Abstract
A growing number of studies have examined alterations in white matter organization in people with posttraumatic stress disorder (PTSD) using diffusion MRI (dMRI), but the results have been mixed which may be partially due to relatively small sample sizes among studies. Altered structural connectivity may be both a neurobiological vulnerability for, and a result of, PTSD. In an effort to find reliable effects, we present a multi-cohort analysis of dMRI metrics across 3047 individuals from 28 cohorts currently participating in the PGC-ENIGMA PTSD working group (a joint partnership between the Psychiatric Genomics Consortium and the Enhancing NeuroImaging Genetics through Meta-Analysis consortium). Comparing regional white matter metrics across the full brain in 1426 individuals with PTSD and 1621 controls (2174 males/873 females) between ages 18-83, 92% of whom were trauma-exposed, we report associations between PTSD and disrupted white matter organization measured by lower fractional anisotropy (FA) in the tapetum region of the corpus callosum (Cohen's d = -0.11, p = 0.0055). The tapetum connects the left and right hippocampus, for which structure and function have been consistently implicated in PTSD. Results were consistent even after accounting for the effects of multiple potentially confounding variables: childhood trauma exposure, comorbid depression, history of traumatic brain injury, current alcohol abuse or dependence, and current use of psychotropic medications. Our results show that PTSD may be associated with alterations in the broader hippocampal network.
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Affiliation(s)
- Emily L Dennis
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA.
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
- Department of Neurology, University of Utah, Salt Lake City, UT, USA.
- Stanford Neurodevelopment, Affect, and Psychopathology Laboratory, Stanford, CA, USA.
| | - Seth G Disner
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Lauren E Salminen
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Mark Logue
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
- Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Emily K Clarke
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- VISN 6 MIRECC, Durham VA, Durham, NC, USA
| | - Courtney C Haswell
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- VISN 6 MIRECC, Durham VA, Durham, NC, USA
| | - Christopher L Averill
- Clinical Neuroscience Division, National Center for PTSD; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Lee A Baugh
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
- Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA
- Sioux Falls VA Health Care System, Sioux Falls, SD, USA
| | - Jessica Bomyea
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Steven E Bruce
- Department of Psychological Sciences, Center for Trauma Recovery University of Missouri-St. Louis, St. Louis, MO, USA
| | - Jiook Cha
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Kyle Choi
- Health Services Research Center, University of California, San Diego, CA, USA
| | - Nicholas D Davenport
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Maria Densmore
- Department of Psychiatry, Western University, London, ON, Canada
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
| | - Stefan du Plessis
- Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Gina L Forster
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
- Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA
- Brain Health Research Centre, Department of Anatomy, University of Otago, Dunedin, 9054, New Zealand
| | - Jessie L Frijling
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Atilla Gonenc
- Cognitive and Clinical Neuroimaging Core, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Staci Gruber
- Cognitive and Clinical Neuroimaging Core, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Daniel W Grupe
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA
| | - Jeffrey P Guenette
- Division of Neuroradiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Jasmeet Hayes
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - David Hofmann
- Institute of Medical Psychology and Systems Neuroscience, University of Münster, Münster, Germany
| | - Jonathan Ipser
- SA Medical Research Council Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Department of Psychiatry and Behavioral Neuroscience, Wayne State University School of Medicine, Detroit, MI, USA
| | - Sinead Kelly
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Mitzy Kennis
- Brain Center Rudolf Magnus, Department of Psychiatry, UMCU, Utrecht, The Netherlands
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, The Netherlands
| | - Philipp Kinzel
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Saskia B J Koch
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Inga Koerte
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Sheri Koopowitz
- SA Medical Research Council Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Mayuresh Korgaonkar
- Brain Dynamics Centre, Westmead Institute of Medical Research, University of Sydney, Westmead, NSW, Australia
| | - John Krystal
- Clinical Neuroscience Division, National Center for PTSD; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Lauren A M Lebois
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Depression and Anxiety Disorders, McLean Hospital, Belmont, MA, USA
| | - Gen Li
- Laboratory for Traumatic Stress Studies, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Vincent A Magnotta
- Departments of Radiology, Psychiatry, and Biomedical Engineering, University of Iowa, Iowa City, IA, USA
| | | | - Geoff J May
- VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA
- Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
- Department of Psychiatry and Behavioral Science, Texas A&M Health Science Center, Bryan, TX, USA
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Deleene S Menefee
- Menninger Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
- South Central MIRECC, Houston, TX, USA
| | - Laura Nawijn
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam University Medical Centers, Location VU University Medical Center, VU University, Amsterdam, The Netherlands
| | - Steven M Nelson
- VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA
- Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Richard W J Neufeld
- Department of Psychiatry, Western University, London, ON, Canada
- Department of Psychology, Western University, London, ON, Canada
- Department of Neuroscience, Western University, London, ON, Canada
- Department of Psychology, University of British Columbia, Okanagan, BC, Canada
| | - Jack B Nitschke
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Matthew Peverill
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Kerry J Ressler
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Annerine Roos
- South African Medical Research Council / Stellenbosch University Genomics of Brain Disorders Research Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Margaret A Sheridan
- Department of Psychology and Brain Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anika Sierk
- University Medical Centre Charite, Berlin, Germany
| | - Alan Simmons
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Raluca M Simons
- Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA
- Department of Psychology, University of South Dakota, Vermillion, SD, USA
| | - Jeffrey S Simons
- Sioux Falls VA Health Care System, Sioux Falls, SD, USA
- Department of Psychology, University of South Dakota, Vermillion, SD, USA
| | - Jennifer Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Benjamin Suarez-Jimenez
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Danielle R Sullivan
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Jean Théberge
- Department of Psychiatry, Western University, London, ON, Canada
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
- Department of Medical Biophysics, Western University, London, ON, Canada
| | | | | | - Steven J A van der Werff
- Department of Psychiatry, LUMC, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Mirjam van Zuiden
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Carmen Velez
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Missouri Institute of Mental Health and University of Missouri, St Louis, MO, USA
| | - Mieke Verfaellie
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
- Memory Disorders Research Center, VA Boston Healthcare System, Boston, MA, USA
| | | | - Benjamin S C Wade
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Missouri Institute of Mental Health and University of Missouri, St Louis, MO, USA
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | - Sherry Winternitz
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Women's Mental Health, McLean Hospital, Belmont, MA, USA
| | - Jonathan Wolff
- Division of Depression and Anxiety Disorders, McLean Hospital, Belmont, MA, USA
| | - Gerald York
- Joint Trauma System, 3698 Chambers Pass, Joint Base San Antonio, Fort Sam Houston, TX, USA
- Alaska Radiology Associates, Anchorage, AK, USA
| | - Ye Zhu
- Laboratory for Traumatic Stress Studies, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xi Zhu
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Chadi G Abdallah
- Clinical Neuroscience Division, National Center for PTSD; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Richard Bryant
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Judith K Daniels
- Department of Clinical Psychology, University of Groningen, Groningen, The Netherlands
| | - Richard J Davidson
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Kelene A Fercho
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
- Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA
- Sioux Falls VA Health Care System, Sioux Falls, SD, USA
- Civil Aerospace Medical Institute, US Federal Aviation Administration, Oklahoma City, OK, USA
| | - Carol Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Elbert Geuze
- Brain Center Rudolf Magnus, Department of Psychiatry, UMCU, Utrecht, The Netherlands
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, The Netherlands
| | - Evan M Gordon
- VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA
- Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Milissa L Kaufman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Women's Mental Health, McLean Hospital, Belmont, MA, USA
| | - William S Kremen
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Jim Lagopoulos
- University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Ruth A Lanius
- Department of Psychiatry, Western University, London, ON, Canada
- Imaging Division, Lawson Health Research Institute, London, ON, Canada
- Department of Neuroscience, Western University, London, ON, Canada
| | - Michael J Lyons
- Dept. of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Stephen R McCauley
- Departments of Neurology and Pediatrics, Baylor College of Medicine, Houston, TX, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | - Regina McGlinchey
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Geriatric Research Educational and Clinical Center and Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, MA, USA
| | | | - William Milberg
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- ARQ National Psychotrauma Centre, Diemen, The Netherlands
| | - Yuval Neria
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Miranda Olff
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- ARQ National Psychotrauma Centre, Diemen, The Netherlands
| | - Soraya Seedat
- South African Medical Research Council / Stellenbosch University Genomics of Brain Disorders Research Unit, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Martha Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- VA Boston Healthcare System, Brockton Division, Brockton, MA, USA
| | - Scott R Sponheim
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Dan J Stein
- SA Medical Research Council Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Thomas Straube
- Institute of Medical Psychology and Systems Neuroscience, University of Münster, Münster, Germany
| | - David F Tate
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Missouri Institute of Mental Health and University of Missouri, St Louis, MO, USA
| | - Nic J A van der Wee
- Department of Psychiatry, LUMC, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam University Medical Centers, Location VU University Medical Center, VU University, Amsterdam, The Netherlands
| | - Li Wang
- Laboratory for Traumatic Stress Studies, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Elisabeth A Wilde
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
- George E. Whalen Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Rajendra A Morey
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- VISN 6 MIRECC, Durham VA, Durham, NC, USA
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Haraguchi R, Hoshi H, Ichikawa S, Hanyu M, Nakamura K, Fukasawa K, Poza J, Rodríguez-González V, Gómez C, Shigihara Y. The Menstrual Cycle Alters Resting-State Cortical Activity: A Magnetoencephalography Study. Front Hum Neurosci 2021; 15:652789. [PMID: 34381340 PMCID: PMC8350571 DOI: 10.3389/fnhum.2021.652789] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 06/28/2021] [Indexed: 11/24/2022] Open
Abstract
Resting-state neural oscillations are used as biomarkers for functional diseases such as dementia, epilepsy, and stroke. However, accurate interpretation of clinical outcomes requires the identification and minimisation of potential confounding factors. While several studies have indicated that the menstrual cycle also alters brain activity, most of these studies were based on visual inspection rather than objective quantitative measures. In the present study, we aimed to clarify the effect of the menstrual cycle on spontaneous neural oscillations based on quantitative magnetoencephalography (MEG) parameters. Resting-state MEG activity was recorded from 25 healthy women with normal menstrual cycles. For each woman, resting-state brain activity was acquired twice using MEG: once during their menstrual period (MP) and once outside of this period (OP). Our results indicated that the median frequency and peak alpha frequency of the power spectrum were low, whereas Shannon spectral entropy was high, during the MP. Theta intensity within the right temporal cortex and right limbic system was significantly lower during the MP than during the OP. High gamma intensity in the left parietal cortex was also significantly lower during the MP than during the OP. Similar differences were also observed in the parietal and occipital regions between the proliferative (the late part of the follicular phase) and secretory phases (luteal phase). Our findings suggest that the menstrual cycle should be considered to ensure accurate interpretation of functional neuroimaging in clinical practice.
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Affiliation(s)
- Rika Haraguchi
- Clinical Laboratory, Kumagaya General Hospital, Kumagaya, Japan
| | - Hideyuki Hoshi
- Precision Medicine Centre, Hokuto Hospital, Obihiro, Japan
| | - Sayuri Ichikawa
- Clinical Laboratory, Kumagaya General Hospital, Kumagaya, Japan
| | - Mayuko Hanyu
- Department of Gynaecology, Kumagaya General Hospital, Kumagaya, Japan
| | - Kohei Nakamura
- Department of Gynaecology, Kumagaya General Hospital, Kumagaya, Japan.,Genomics Unit, Keio Cancer Centre, Keio University School of Medicine, Minato, Japan
| | | | - Jesús Poza
- Biomedical Engineering Group, Higher Technical School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valladolid, Spain.,Instituto de Investigación en Matemáticas (IMUVA), University of Valladolid, Valladolid, Spain
| | - Víctor Rodríguez-González
- Biomedical Engineering Group, Higher Technical School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain
| | - Carlos Gómez
- Biomedical Engineering Group, Higher Technical School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valladolid, Spain
| | - Yoshihito Shigihara
- Precision Medicine Centre, Hokuto Hospital, Obihiro, Japan.,Precision Medicine Centre, Kumagaya General Hospital, Kumagaya, Japan
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