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Hermosillo RJM, Moore LA, Feczko E, Miranda-Domínguez Ó, Pines A, Dworetsky A, Conan G, Mooney MA, Randolph A, Graham A, Adeyemo B, Earl E, Perrone A, Carrasco CM, Uriarte-Lopez J, Snider K, Doyle O, Cordova M, Koirala S, Grimsrud GJ, Byington N, Nelson SM, Gratton C, Petersen S, Feldstein Ewing SW, Nagel BJ, Dosenbach NUF, Satterthwaite TD, Fair DA. A precision functional atlas of personalized network topography and probabilities. Nat Neurosci 2024; 27:1000-1013. [PMID: 38532024 PMCID: PMC11089006 DOI: 10.1038/s41593-024-01596-5] [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: 02/14/2022] [Accepted: 02/08/2024] [Indexed: 03/28/2024]
Abstract
Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging methods to establish an open-source, method-flexible set of precision functional network atlases-the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. This atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others. We also generated probabilistic network maps across multiple ages and integration zones (using a new overlapping mapping technique, Overlapping MultiNetwork Imaging). Using regions of high network invariance improved the reproducibility of executive function statistical maps in brain-wide associations compared to group average-based parcellations. Finally, we provide a potential use case for probabilistic maps for targeted neuromodulation. The atlas is expandable to alternative datasets with an online interface encouraging the scientific community to explore and contribute to understanding the human brain function more precisely.
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Affiliation(s)
- Robert J M Hermosillo
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
| | - Lucille A Moore
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Eric Feczko
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Óscar Miranda-Domínguez
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Adam Pines
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Ally Dworetsky
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | - Gregory Conan
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Michael A Mooney
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
- Center for Mental Health Innovation, Oregon Health and Science University, Portland, OR, USA
| | - Anita Randolph
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Alice Graham
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Babatunde Adeyemo
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric Earl
- Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
| | - Anders Perrone
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Cristian Morales Carrasco
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | | | - Kathy Snider
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Olivia Doyle
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Michaela Cordova
- Joint Doctoral Program in Clinical Psychology, San Diego State University, San Diego, CA, USA
- Joint Doctoral Program in Clinical Psychology, University of California San Diego, San Diego, CA, USA
| | - Sanju Koirala
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Gracie J Grimsrud
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Nora Byington
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Steven M Nelson
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Department of Psychology, Florida State University, Tallahassee, FL, USA
- Department of Psychological and Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Steven Petersen
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychological and Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Bonnie J Nagel
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Nico U F Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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2
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Heukamp NJ, Banaschewski T, Bokde AL, Desrivières S, Grigis A, Garavan H, Gowland P, Heinz A, Kandić M, Brühl R, Martinot JL, Paillère Martinot ML, Artiges E, Papadopoulos Orfanos D, Lemaitre H, Löffler M, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Usai K, Vaidya N, Walter H, Whelan R, Schumann G, Flor H, Nees F. Adolescents' pain-related ontogeny shares a neural basis with adults' chronic pain in basothalamo-cortical organization. iScience 2024; 27:108954. [PMID: 38322983 PMCID: PMC10845062 DOI: 10.1016/j.isci.2024.108954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/19/2023] [Accepted: 01/15/2024] [Indexed: 02/08/2024] Open
Abstract
During late adolescence, the brain undergoes ontogenic organization altering subcortical-cortical circuitry. This includes regions implicated in pain chronicity, and thus alterations in the adolescent ontogenic organization could predispose to pain chronicity in adulthood - however, evidence is lacking. Using resting-state functional magnetic resonance imaging from a large European longitudinal adolescent cohort and an adult cohort with and without chronic pain, we examined links between painful symptoms and brain connectivity. During late adolescence, thalamo-, caudate-, and red nucleus-cortical connectivity were positively and subthalamo-cortical connectivity negatively associated with painful symptoms. Thalamo-cortical connectivity, but also subthalamo-cortical connectivity, was increased in adults with chronic pain compared to healthy controls. Our results indicate a shared basis in basothalamo-cortical circuitries between adolescent painful symptomatology and adult pain chronicity, with the subthalamic pathway being differentially involved, potentially due to a hyperconnected thalamo-cortical pathway in chronic pain and ontogeny-driven organization. This can inform neuromodulation-based prevention and early intervention.
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Affiliation(s)
- Nils Jannik Heukamp
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L.W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King’s College London, London, UK
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Mina Kandić
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | | | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
| | - Martin Löffler
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Clinical Psychology, Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Integrative Spinal Research Group, Department of Chiropractic Medicine, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075 Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Katrin Usai
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Berlin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - IMAGEN Consortium
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King’s College London, London, UK
- NeuroSpin, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont 05405, USA
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig, Berlin, Germany
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- AP-HP, Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
- Clinical Psychology, Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Integrative Spinal Research Group, Department of Chiropractic Medicine, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075 Göttingen, Germany
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin, Berlin, Germany
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Berlin, Ireland
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
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3
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Wilkes BJ, Archer DB, Farmer AL, Bass C, Korah H, Vaillancourt DE, Lewis MH. Cortico-basal ganglia white matter microstructure is linked to restricted repetitive behavior in autism spectrum disorder. Mol Autism 2024; 15:6. [PMID: 38254158 PMCID: PMC10804694 DOI: 10.1186/s13229-023-00581-2] [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: 08/18/2023] [Accepted: 12/23/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Restricted repetitive behavior (RRB) is one of two behavioral domains required for the diagnosis of autism spectrum disorder (ASD). Neuroimaging is widely used to study brain alterations associated with ASD and the domain of social and communication deficits, but there has been less work regarding brain alterations linked to RRB. METHODS We utilized neuroimaging data from the National Institute of Mental Health Data Archive to assess basal ganglia and cerebellum structure in a cohort of children and adolescents with ASD compared to typically developing (TD) controls. We evaluated regional gray matter volumes from T1-weighted anatomical scans and assessed diffusion-weighted scans to quantify white matter microstructure with free-water imaging. We also investigated the interaction of biological sex and ASD diagnosis on these measures, and their correlation with clinical scales of RRB. RESULTS Individuals with ASD had significantly lower free-water corrected fractional anisotropy (FAT) and higher free-water (FW) in cortico-basal ganglia white matter tracts. These microstructural differences did not interact with biological sex. Moreover, both FAT and FW in basal ganglia white matter tracts significantly correlated with measures of RRB. In contrast, we found no significant difference in basal ganglia or cerebellar gray matter volumes. LIMITATIONS The basal ganglia and cerebellar regions in this study were selected due to their hypothesized relevance to RRB. Differences between ASD and TD individuals that may occur outside the basal ganglia and cerebellum, and their potential relationship to RRB, were not evaluated. CONCLUSIONS These new findings demonstrate that cortico-basal ganglia white matter microstructure is altered in ASD and linked to RRB. FW in cortico-basal ganglia and intra-basal ganglia white matter was more sensitive to group differences in ASD, whereas cortico-basal ganglia FAT was more closely linked to RRB. In contrast, basal ganglia and cerebellar volumes did not differ in ASD. There was no interaction between ASD diagnosis and sex-related differences in brain structure. Future diffusion imaging investigations in ASD may benefit from free-water estimation and correction in order to better understand how white matter is affected in ASD, and how such measures are linked to RRB.
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Affiliation(s)
- Bradley J Wilkes
- Department of Applied Physiology and Kinesiology, University of Florida, P.O. Box 118205, Gainesville, FL, 32611, USA.
| | - Derek B Archer
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt School of Medicine, Nashville, TN, USA
- Department of Neurology, Vanderbilt Genetics Institute, Vanderbilt School of Medicine, Nashville, TN, USA
| | - Anna L Farmer
- Department of Psychology, University of Florida, Gainesville, FL, USA
| | - Carly Bass
- Department of Psychiatry, University of Florida, Gainesville, FL, USA
| | - Hannah Korah
- Department of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ, USA
| | - David E Vaillancourt
- Department of Applied Physiology and Kinesiology, University of Florida, P.O. Box 118205, Gainesville, FL, 32611, USA
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
- Department of Neurology, Fixel Center for Neurological Diseases, Program in Movement Disorders and Neurorestoration, University of Florida, Gainesville, FL, USA
| | - Mark H Lewis
- Department of Psychology, University of Florida, Gainesville, FL, USA
- Department of Psychiatry, University of Florida, Gainesville, FL, USA
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McAfee SS, Robinson G, Gajjar A, Zhang S, Bag AK, Raches D, Conklin HM, Khan RB, Scoggins MA. Cerebellar mutism is linked to midbrain volatility and desynchronization from speech cortices. Brain 2023; 146:4755-4765. [PMID: 37343136 PMCID: PMC10629755 DOI: 10.1093/brain/awad209] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/09/2023] [Accepted: 05/30/2023] [Indexed: 06/23/2023] Open
Abstract
Cerebellar mutism syndrome is a disorder of speech, movement and affect that can occur after tumour removal from the posterior fossa. Projections from the fastigial nuclei to the periaqueductal grey area were recently implicated in its pathogenesis, but the functional consequences of damaging these projections remain poorly understood. Here, we examine functional MRI data from patients treated for medulloblastoma to identify functional changes in key brain areas that comprise the motor system for speech, which occur along the timeline of acute speech impairment in cerebellar mutism syndrome. One hundred and twenty-four participants, all with medulloblastoma, contributed to the study: 45 with cerebellar mutism syndrome, 11 patients with severe postoperative deficits other than mutism, and 68 without either (asymptomatic). We first performed a data-driven parcellation to spatially define functional nodes relevant to the cohort that align with brain regions critical for the motor control of speech. We then estimated functional connectivity between these nodes during the initial postoperative imaging sessions to identify functional deficits associated with the acute phase of the disorder. We further analysed how functional connectivity changed over time within a subset of participants that had suitable imaging acquired over the course of recovery. Signal dispersion was also measured in the periaqueductal grey area and red nuclei to estimate activity in midbrain regions considered key targets of the cerebellum with suspected involvement in cerebellar mutism pathogenesis. We found evidence of periaqueductal grey dysfunction in the acute phase of the disorder, with abnormal volatility and desynchronization with neocortical language nodes. Functional connectivity with periaqueductal grey was restored in imaging sessions that occurred after speech recovery and was further shown to be increased with left dorsolateral prefrontal cortex. The amygdalae were also broadly hyperconnected with neocortical nodes in the acute phase. Stable connectivity differences between groups were broadly present throughout the cerebrum, and one of the most substantial differences-between Broca's area and the supplementary motor area-was found to be inversely related to cerebellar outflow pathway damage in the mutism group. These results reveal systemic changes in the speech motor system of patients with mutism, centred on limbic areas tasked with the control of phonation. These findings provide further support for the hypothesis that periaqueductal grey dysfunction (following cerebellar surgical injury) contributes to the transient postoperative non-verbal episode commonly observed in cerebellar mutism syndrome but highlights a potential role of intact cerebellocortical projections in chronic features of the disorder.
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Affiliation(s)
- Samuel S McAfee
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Giles Robinson
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Amar Gajjar
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Silu Zhang
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Asim K Bag
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Darcy Raches
- Department of Psychology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Heather M Conklin
- Department of Psychology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Raja B Khan
- Division of Neurology, Department of Pediatrics, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Matthew A Scoggins
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
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5
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Errante A, Gerbella M, Mingolla GP, Fogassi L. Activation of Cerebellum, Basal Ganglia and Thalamus During Observation and Execution of Mouth, hand, and foot Actions. Brain Topogr 2023:10.1007/s10548-023-00960-1. [PMID: 37133782 DOI: 10.1007/s10548-023-00960-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/11/2023] [Indexed: 05/04/2023]
Abstract
Humans and monkey studies showed that specific sectors of cerebellum and basal ganglia activate not only during execution but also during observation of hand actions. However, it is unknown whether, and how, these structures are engaged during the observation of actions performed by effectors different from the hand. To address this issue, in the present fMRI study, healthy human participants were required to execute or to observe grasping acts performed with different effectors, namely mouth, hand, and foot. As control, participants executed and observed simple movements performed with the same effectors. The results show that: (1) execution of goal-directed actions elicited somatotopically organized activations not only in the cerebral cortex but also in the cerebellum, basal ganglia, and thalamus; (2) action observation evoked cortical, cerebellar and subcortical activations, lacking a clear somatotopic organization; (3) in the territories displaying shared activations between execution and observation, a rough somatotopy could be revealed in both cortical, cerebellar and subcortical structures. The present study confirms previous findings that action observation, beyond the cerebral cortex, also activates specific sectors of cerebellum and subcortical structures and it shows, for the first time, that these latter are engaged not only during hand actions observation but also during the observation of mouth and foot actions. We suggest that each of the activated structures processes specific aspects of the observed action, such as performing internal simulation (cerebellum) or recruiting/inhibiting the overt execution of the observed action (basal ganglia and sensory-motor thalamus).
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Affiliation(s)
- Antonino Errante
- Department of Medicine and Surgery, University of Parma, Via Volturno 39, 43125, Parma, Italy
- Department of Diagnostics, Neuroradiology unit, University Hospital of Parma, Via Gramsci 14, 43126, Parma, Italy
| | - Marzio Gerbella
- Department of Medicine and Surgery, University of Parma, Via Volturno 39, 43125, Parma, Italy
| | - Gloria P Mingolla
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Piazzale Ludovico Antonio Scuro 10, 37124, Verona, Italy
| | - Leonardo Fogassi
- Department of Medicine and Surgery, University of Parma, Via Volturno 39, 43125, Parma, Italy.
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6
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Lee SH, Chia S, Chou TL, Gau SSF. Sex differences in medication-naïve adults with attention-deficit/hyperactivity disorder: a counting Stroop functional MRI study. Biol Psychol 2023; 179:108552. [PMID: 37028795 DOI: 10.1016/j.biopsycho.2023.108552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 03/12/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023]
Abstract
Emerging evidence supports deficits in executive functions in the fronto-striato-parietal network in individuals with attention-deficit/hyperactivity disorder (ADHD). However, most functional studies recruited men with ADHD only, leaving it unclear whether executive deficits are also demonstrated in women with ADHD. Thus, we used functional magnetic resonance imaging to examine the sex differences in a counting Stroop task that explored interference control. The sample consisted of 55 medication-naïve adults with ADHD (28 men, 27 women) and 52 healthy controls (HC, 26 men, 26 women). The Conners' Continuous Performance Test further evaluated the performance of focused attention (standard deviation of the reaction time, RTSD) and vigilance (the reaction time change across different inter-stimulus intervals, RTISI). First, for the main effect of diagnosis, compared to the HC group, the ADHD group showed less activation in the caudate nucleus and inferior frontal gyrus (IFG). Second, for the main effect of sex, no significant effects were found. Third, a diagnosis-by-sex interaction indicated that the magnitude of ADHD-HC difference was greater for women than men in the right IFG and precuneus, reflecting greater difficulties for ADHD women to resolve interference. Conversely, no significant brain activation showed greater ADHD-HC difference in men than women. Also, reduced right IFG and precuneus activation was negatively associated with the scores assessing focused attention and vigilance in ADHD women, indicating that the attentional abilities are disrupted in ADHD women. Abnormalities in the frontoparietal areas may represent the main difference between ADHD women and ADHD men.
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Kikuchi H, Jitsuishi T, Hirono S, Yamaguchi A, Iwadate Y. 2D and 3D structures of the whole-brain, directly visible from 100-micron slice 7TMRI images. INTERDISCIPLINARY NEUROSURGERY 2023. [DOI: 10.1016/j.inat.2023.101755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023] Open
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8
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Mosch B, Hagena V, Herpertz S, Ruttorf M, Diers M. Neural correlates of control over pain in fibromyalgia patients. Neuroimage Clin 2023; 37:103355. [PMID: 36848728 PMCID: PMC9982683 DOI: 10.1016/j.nicl.2023.103355] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 02/13/2023] [Accepted: 02/19/2023] [Indexed: 02/24/2023]
Abstract
The perceived lack of control over the experience of pain is arguably-one major cause of agony and impaired life quality in patients with chronic pain disorders as fibromyalgia (FM). The way perceived control affects subjective pain as well as the underlying neural mechanisms have so far not been investigated in chronic pain. We used functional magnetic resonance imaging (fMRI) to examine the neural correlates of self-controlled compared to computer-controlled heat pain in healthy controls (HC, n = 21) and FM patients (n = 23). Contrary to HC, FM failed to activate brain areas usually involved in pain modulation as well as reappraisal processes (right ventrolateral (VLPFC), dorsolateral prefrontal cortex (DLPFC) and dorsal anterior cingulate cortex (dACC)). Computer-controlled (compared to self-controlled) heat revealed significant activations of the orbitofrontal cortex (OFC) in HC, whereas FM activated structures that are typically involved in neural emotion processing (amygdala, parahippocampal gyrus). Additionally, FM displayed disrupted functional connectivity (FC) of the VLPFC, DLPFC and dACC with somatosensory and pain (inhibition)-related areas during self-controlled heat stimulation as well as significantly decreased gray matter (GM) volumes compared to HC in DLPFC and dACC. The described functional and structural changes provide evidence for far-reaching impairments concerning pain-modulatory processes in FM. Our investigation represents a first demonstration of dysfunctional neural pain modulation through experienced control in FM according to the extensive functional and structural changes in relevant sensory, limbic and associative brain areas. These areas may be targeted in clinical pain therapeutic methods involving TMS, neurofeedback or cognitive behavioral trainings.
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Affiliation(s)
- Benjamin Mosch
- Department of Psychosomatic Medicine and Psychotherapy, LWL University Hospital, Ruhr University Bochum, Bochum 44791, Germany
| | - Verena Hagena
- Department of Psychosomatic Medicine and Psychotherapy, LWL University Hospital, Ruhr University Bochum, Bochum 44791, Germany
| | - Stephan Herpertz
- Department of Psychosomatic Medicine and Psychotherapy, LWL University Hospital, Ruhr University Bochum, Bochum 44791, Germany
| | - Michaela Ruttorf
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany; Mannheim Institute for Intelligent Systems in Medicine, Heidelberg University, Mannheim 68167, Germany
| | - Martin Diers
- Department of Psychosomatic Medicine and Psychotherapy, LWL University Hospital, Ruhr University Bochum, Bochum 44791, Germany.
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9
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Wang G, Song Y, Su J, Fan Z, Xu L, Fang P, Liu C, Long H, Hu C, Zhou L, Huang S, Zhou P, Wang K, Pang N, Shen H, Li S, Hu D, Xiao B, Zeng LL, Long L. Altered cerebellar-motor loop in benign adult familial myoclonic epilepsy type 1: The structural basis of cortical tremor. Epilepsia 2022; 63:3192-3203. [PMID: 36196770 DOI: 10.1111/epi.17430] [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: 07/13/2022] [Revised: 10/01/2022] [Accepted: 10/03/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Cortical tremor/myoclonus is the hallmark feature of benign adult familial myoclonic epilepsy (BAFME), the mechanism of which remains elusive. A hypothesis is that a defective control in the preexisting cerebellar-motor loop drives cortical tremor. Meanwhile, the basal ganglia system might also participate in BAFME. This study aimed to discover the structural basis of cortical tremor/myoclonus in BAFME. METHODS Nineteen patients with BAFME type 1 (BAFME1) and 30 matched healthy controls underwent T1-weighted and diffusion tensor imaging scans. FreeSurfer and spatially unbiased infratentorial template (SUIT) toolboxes were utilized to assess the motor cortex and the cerebellum. Probabilistic tractography was generated for two fibers to test the hypothesis: the dentato-thalamo-(M1) (primary motor cortex) and globus pallidus internus (GPi)-thalamic projections. Average fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD) of each tract were extracted. RESULTS Cerebellar atrophy and dentate nucleus alteration were observed in the patients. In addition, patients with BAFME1 exhibited reduced AD and FA in the left and right dentato-thalamo-M1 nondecussating fibers, respectively false discovery rate (FDR) correction q < .05. Cerebellar projections showed negative correlations with somatosensory-evoked potential P25-N33 amplitude and were independent of disease duration and medication. BAFME1 patients also had increased FA and decreased MD in the left GPi-thalamic projection. Higher FA and lower RD in the right GPi-thalamic projection were also observed (FDR q < .05). SIGNIFICANCE The present findings support the hypothesis that the cerebello-thalamo-M1 loop might be the structural basis of cortical tremor in BAFME1. The basal ganglia system also participates in BAFME1 and probably serves a regulatory role.
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Affiliation(s)
- Ge Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Yanmin Song
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Emergency, Xiangya Hospital, Central South University, Changsha, China
| | - Jianpo Su
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Zhipeng Fan
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Lin Xu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Peng Fang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China.,Department of Military Medical Psychology, Air Force Medical University, Xian, China
| | - Chaorong Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Hongyu Long
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Chongyu Hu
- Department of Neurology, Hunan People's Hospital, Changsha, China
| | - Luo Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Sha Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Pinting Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Kangrun Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Nan Pang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Pediatric, Xiangya Hospital, Central South University, Changsha, China
| | - Hui Shen
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Shuyu Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Dewen Hu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
| | - Ling-Li Zeng
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Lili Long
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Clinical Research Center for Epileptic Disease of Hunan Province, Central South University, Changsha, China
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10
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Khedher L, Bonny JM, Marques A, Durand E, Pereira B, Chupin M, Vidal T, Chassain C, Defebvre L, Carriere N, Fraix V, Moro E, Thobois S, Metereau E, Mangone G, Vidailhet M, Corvol JC, Lehéricy S, Menjot de Champfleur N, Geny C, Spampinato U, Meissner W, Frismand S, Schmitt E, Doé de Maindreville A, Portefaix C, Remy P, Fénelon G, Luc Houeto J, Colin O, Rascol O, Peran P, Durif F. Intrasubject subcortical quantitative referencing to boost MRI sensitivity to Parkinson's disease. Neuroimage Clin 2022; 36:103231. [PMID: 36279753 PMCID: PMC9668635 DOI: 10.1016/j.nicl.2022.103231] [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: 01/13/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
Several postmortem studies have shown iron accumulation in the substantia nigra of Parkinson's disease patients. Iron concentration can be estimated via MRI-R2∗ mapping. To assess the changes in R2∗ occurring in Parkinson's disease patients compared to controls, a multicentre transversal study was carried out on a large cohort of Parkinson's disease patients (n = 163) with matched controls (n = 82). In this study, 44 patients and 11 controls were removed due to motion artefacts, 21 patient and 6 controls to preserve matching. Thus, 98 patients and 65 age and sex-matched healthy subjects were selected with enough image quality. The study was conducted on patients with early to late stage Parkinson's disease. The images were acquired at 3Tesla in 12 clinical centres. R2∗ values were measured in subcortical regions of interest (substantia nigra, red nucleus, striatum, globus pallidus externus and globus pallidus internus) contralateral (dominant side) and ipsilateral (non dominant side) to the most clinically affected hemibody. As the observed inter-subject R2∗ variability was significantly higher than the disease effect, an original strategy (intrasubject subcortical quantitative referencing, ISQR) was developed using the measurement of R2∗ in the red nucleus as an intra-subject reference. R2∗ values significantly increased in Parkinson's disease patients when compared with controls; in the substantia nigra (SN) in the dominant side (D) and in the non dominant side (ND), respectively (PSN_D and PSN_ND < 0.0001). After stratification into four subgroups according to the disease duration, no significant R2∗ difference was found in all regions of interest when comparing Parkinson's disease subgroups. By applying our ISQR strategy, R2(ISQR)∗ values significantly increased in the substantia nigra (PSN_D and PSN_ND < 0.0001) when comparing all Parkinson's disease patients to controls. R2(ISQR)∗ values in the substantia nigra significantly increased with the disease duration (PSN_D = 0.01; PSN_ND = 0.03) as well as the severity of the disease (Hoehn & Yahr scale <2 and ≥ 2, PSN_D = 0.02). Additionally, correlations between R2(ISQR)∗ and clinical features, mainly related to the severity of the disease, were found. Our results support the use of ISQR to reduce variations not directly related to Parkinson's disease, supporting the concept that ISQR strategy is useful for the evaluation of Parkinson's disease.
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Affiliation(s)
- Laila Khedher
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,AgroResonance, INRAE, 2018. Nuclear Magnetic Resonance Facility for Agronomy, Food and Health, doi: 10.15454/1.5572398324758228E12, France,Corresponding author at: AgroResonance, INRAE, UR370 QuaPA, Saint-Genès-Champanelle F-63122, France.
| | - Jean-Marie Bonny
- AgroResonance, INRAE, 2018. Nuclear Magnetic Resonance Facility for Agronomy, Food and Health, doi: 10.15454/1.5572398324758228E12, France,AgroResonance UR370 QuaPA - INRAE, Saint-Genès-Champanelle 63122, France
| | - Ana Marques
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
| | - Elodie Durand
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
| | - Bruno Pereira
- Clermont-Ferrand University Hospital, Biostatistics Unit (DRCI), Clermont-Ferrand, France
| | - Marie Chupin
- Sorbonne Université, Institut du Cerveau - ICM, CATI, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Tiphaine Vidal
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
| | - Carine Chassain
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
| | - Luc Defebvre
- Department of Movement Disorder and NS-PARK/FCRIN Network, Inserm 1172 University of Lille, Lille, France
| | - Nicolas Carriere
- Department of Movement Disorder and NS-PARK/FCRIN Network, Inserm 1172 University of Lille, Lille, France
| | - Valerie Fraix
- Service de Neurologie, CHU de Grenoble and NS-PARK/FCRIN Network, Université Grenoble Alpes, Grenoble Institute of Neuroscience, Grenoble, France
| | - Elena Moro
- Service de Neurologie, CHU de Grenoble and NS-PARK/FCRIN Network, Université Grenoble Alpes, Grenoble Institute of Neuroscience, Grenoble, France
| | - Stéphane Thobois
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France,Université Claude Bernard, Lyon I, Lyon, France,Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C and NS-PARK/FCRIN Network, Lyon, France
| | - Elise Metereau
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France,Université Claude Bernard, Lyon I, Lyon, France,Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C and NS-PARK/FCRIN Network, Lyon, France
| | - Graziella Mangone
- Sorbonne Université, Institut du Cerveau - ICM, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Marie Vidailhet
- Sorbonne Université, Institut du Cerveau - ICM, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jean-Christophe Corvol
- Sorbonne Université, Institut du Cerveau - ICM, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Stéphane Lehéricy
- Sorbonne Université, Institut du Cerveau - ICM, Assistance Publique Hôpitaux de Paris, Inserm, CNRS, Département de Neurologie and NS-PARK/FCRIN Network, CIC Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Nicolas Menjot de Champfleur
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France
| | - Christian Geny
- Department of Geriatrics and NS-PARK/FCRIN Network, Montpellier University Hospital, Montpellier University, Montpellier, France,EuroMov Laboratory, University of Montpellier, 700 Avenue du Pic Saint Loup, Montpellier, Montpellier 34090, France
| | - Umberto Spampinato
- Service de Neurologie - Maladies Neurodégénératives and NS-PARK/FCRIN Network, CHU Bordeaux, Bordeaux F-33000, France
| | - Wassilios Meissner
- Service de Neurologie - Maladies Neurodégénératives and NS-PARK/FCRIN Network, CHU Bordeaux, Bordeaux F-33000, France,Univ. Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, Bordeaux F-33000, France,Dept. Medicine, University of Otago, Christchurch, and New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Solène Frismand
- Service de Neurologie and NS-PARK/FCRIN Network, CHRU-Nancy, Nancy, France
| | - Emmanuelle Schmitt
- Service de Neurologie and NS-PARK/FCRIN Network, CHRU-Nancy, Nancy, France
| | | | - Christophe Portefaix
- Department of Radiology, Hôpital Maison blanche, Reims, France,CReSTIC Laboratory (EA 3804), University of Reims Champagne-Ardenne, Reims, France
| | - Philippe Remy
- Centre Expert Parkinson and NS-PARK/FCRIN Network, CHU Henri Mondor, AP-HP et Equipe Neuropsychologie Interventionnelle, INSERM-IMRB, Faculté de Santé, Université Paris-Est Créteil et Ecole Normale Supérieure Paris Sorbonne Université, Créteil, France
| | - Gilles Fénelon
- Centre Expert Parkinson and NS-PARK/FCRIN Network, CHU Henri Mondor, AP-HP et Equipe Neuropsychologie Interventionnelle, INSERM-IMRB, Faculté de Santé, Université Paris-Est Créteil et Ecole Normale Supérieure Paris Sorbonne Université, Créteil, France
| | - Jean Luc Houeto
- INSERM, CHU de Poitiers, Université de Poitiers, Centre d’Investigation Clinique CIC1402, Service de Neurologie and NS-PARK/FCRIN Network, Poitiers, France – CHU - Centre Expert Parkinson de Limoges, Limoges, France
| | - Olivier Colin
- INSERM, CHU de Poitiers, Université de Poitiers, Centre d’Investigation Clinique CIC1402, Service de Neurologie and NS-PARK/FCRIN Network, Poitiers, France– CH Brive la Gaillarde, France
| | - Olivier Rascol
- Centre d'Investigation Clinique CIC 1436, UMR 1214 TONIC and NS-PARK/FCRIN Network, INSERM, CHU de Toulouse et Université de Toulouse3, Toulouse, France
| | - Patrice Peran
- Centre d'Investigation Clinique CIC 1436, UMR 1214 TONIC and NS-PARK/FCRIN Network, INSERM, CHU de Toulouse et Université de Toulouse3, Toulouse, France
| | - Franck Durif
- University Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France,Clermont-Ferrand University Hospital, Neurology Department and NS-PARK/FCRIN Network, Clermont-Ferrand, France
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11
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Aghakhanyan G, Rullmann M, Rumpf J, Schroeter ML, Scherlach C, Patt M, Brendel M, Koglin N, Stephens AW, Classen J, Hoffmann KT, Sabri O, Barthel H. Interplay of tau and functional network connectivity in progressive supranuclear palsy: a [ 18F]PI-2620 PET/MRI study. Eur J Nucl Med Mol Imaging 2022; 50:103-114. [PMID: 36048259 DOI: 10.1007/s00259-022-05952-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 08/23/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE Progressive supranuclear palsy (PSP) is primary 4-repeat tauopathy. Evidence spanning from imaging studies indicate aberrant connectivity in PSPs. Our goal was to assess functional connectivity network alterations in PSP patients and the potential link between regional tau-burden and network-level functional connectivity using the next-generation tau PET tracer [18F]PI-2620 and resting-state functional MRI (fMRI). MATERIAL AND METHODS Twenty-four probable PSP patients (70.9 ± 6.9 years, 13 female), including 14 Richardson syndrome (RS) and 10 non-RS phenotypes, underwent [18F]PI-2620 PET/MRI imaging. Distribution volume ratios (DVRs) were estimated using non-invasive pharmacokinetic modeling. Resting-state fMRI was also acquired in these patients as well as in thirteen older non-AD MCI reference group (64 ± 9 years, 4 female). The functional network was constructed using 141 by 141 region-to-region functional connectivity metrics (RRC) and network-based statistic was carried out (connection threshold p < 0.001, cluster threshold pFDR < 0.05). RESULTS In total, 9870 functional connections were analyzed. PSPs compared to aged non-AD MCI reference group expressed aberrant connectivity evidenced by the significant NBS network consisting of 89 ROIs and 118 connections among them (NBS mass 4226, pFDR < 0.05). Tau load in the right globus pallidus externus (GPe) and left dentate nucleus (DN) showed significant effects on functional network connectivity. The network linked with increased tau load in the right GPe was associated with hyperconnectivity of low-range intra-opercular connections (NBS mass 356, pFDR < 0.05), while the network linked with increased tau load in the left cerebellar DN was associated with cerebellar hyperconnectivity and cortico-cerebellar hypoconnectivity (NBS mass 517, pFDR < 0.05). CONCLUSIONS PSP patients show altered functional connectivity. Network incorporating deep gray matter structures demonstrate hypoconnectivity, cerebellum hyperconnectivity, while cortico-cortical connections show variable changes. Tau load in the right GPe and left DN is associated with functional networks which strengthen low-scale intra-opercular and intra-cerebellar connections and weaken opercular-cerebellar connections. These findings support the concept of tau load-dependent functional network changes in PSP, by that providing evidence for downstream effects of neuropathology on brain functionality in this primary tauopathy.
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Affiliation(s)
- Gayane Aghakhanyan
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany. .,Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
| | - M Rullmann
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - J Rumpf
- Department of Neurology, University of Leipzig, Leipzig, Germany
| | - M L Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, University of Leipzig, Leipzig, Germany
| | - C Scherlach
- Department of Neuroradiology, University of Leipzig, Leipzig, Germany
| | - M Patt
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - M Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - N Koglin
- Life Molecular Imaging GmbH, Berlin, Germany
| | | | - J Classen
- Department of Neurology, University of Leipzig, Leipzig, Germany
| | - K T Hoffmann
- Department of Neuroradiology, University of Leipzig, Leipzig, Germany
| | - O Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - H Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
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12
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Zheng ZS, Monti MM. Cortical and thalamic connections of the human globus pallidus: Implications for disorders of consciousness. Front Neuroanat 2022; 16:960439. [PMID: 36093291 PMCID: PMC9453545 DOI: 10.3389/fnana.2022.960439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 07/26/2022] [Indexed: 11/13/2022] Open
Abstract
A dominant framework for understanding loss and recovery of consciousness in the context of severe brain injury, the mesocircuit hypothesis, focuses on the role of cortico-subcortical recurrent interactions, with a strong emphasis on excitatory thalamofugal projections. According to this view, excess inhibition from the internal globus pallidus (GPi) on central thalamic nuclei is key to understanding prolonged disorders of consciousness (DOC) and their characteristic, brain-wide metabolic depression. Recent work in healthy volunteers and patients, however, suggests a previously unappreciated role for the external globus pallidus (GPe) in maintaining a state of consciousness. This view is consistent with empirical findings demonstrating the existence of “direct” (i.e., not mediated by GPi/substantia nigra pars reticulata) GPe connections with cortex and thalamus in animal models, as well as their involvement in modulating arousal and sleep, and with theoretical work underscoring the role of GABA dysfunction in prolonged DOC. Leveraging 50 healthy subjects' high angular resolution diffusion imaging (HARDI) dataset from the Human Connectome Project, which provides a more accurate representation of intravoxel water diffusion than conventional diffusion tensor imaging approaches, we ran probabilistic tractography using extensive a priori exclusion criteria to limit the influence of indirect connections in order to better characterize “direct” pallidal connections. We report the first in vivo evidence of highly probable “direct” GPe connections with prefrontal cortex (PFC) and central thalamic nuclei. Conversely, we find direct connections between the GPi and PFC to be sparse (i.e., less likely indicative of true “direct” connectivity) and restricted to the posterior border of PFC, thus reflecting an extension from the cortical motor zones (i.e., motor association areas). Consistent with GPi's preferential connections with sensorimotor cortices, the GPi appears to predominantly connect with the sensorimotor subregions of the thalamus. These findings are validated against existing animal tracer studies. These findings suggest that contemporary mechanistic models of loss and recovery of consciousness following brain injury must be updated to include the GPe and reflect the actual patterns of GPe and GPi connectivity within large-scale cortico-thalamo-cortical circuits.
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Affiliation(s)
- Zhong S. Zheng
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, United States
- *Correspondence: Zhong S. Zheng
| | - Martin M. Monti
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
- Brain Injury Research Center (BIRC), Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, United States
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13
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Zhu Y, Ruan G, Cheng Z, Zou S, Zhu X. Lateralization of the crossed cerebellar diaschisis-associated metabolic connectivities in cortico-ponto-cerebellar and cortico-rubral pathways. Neuroimage 2022; 260:119487. [PMID: 35850160 DOI: 10.1016/j.neuroimage.2022.119487] [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: 11/29/2021] [Revised: 06/21/2022] [Accepted: 07/14/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to explore the glucose metabolic profile of extrapyramidal system in patients with crossed cerebellar diaschisis (CCD). Furthermore, the metabolic connectivities in cortico-ponto-cerebellar and cortico-rubral pathways associated with CCD were also investigated. A total of 130 CCD positive (CCD+) and 424 CCD negative (CCD-) patients with unilateral cerebral hemisphere hypometabolism on 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) were enrolled. Besides, the control group consisted of 56 subjects without any brain structural and metabolic abnormalities. Apart from the "autocorrelation", metabolic connectivity pattern of right or left affected cerebellar hemisphere involved unilateral (left or right, respectively) caudate, pallidum, putamen, thalamus and red nucleus, in CCD+ patients with left or right supratentorial lesions, respectively (Puncorrected < 0.001, cluster size > 200). CCD+ group had significantly lower asymmetry index (AI) in cortico-ponto-cerebellar pathway (including ipsilateral cerebral white matter, ipsilateral pons, contralateral cerebellum white matter and contralateral cerebellum exterior cortex) and cortico-rubral pathway (including ipsilateral caudate, thalamus proper, pallidum, putamen, ventral diencephalon and red nucleus) than those of both CCD- and control groups (all P < 0.05). AI in contralateral cerebellum exterior cortex was significantly positively correlated with that in ipsilateral caudate, putamen, pallidum, thalamus proper, ventral diencephalon, red nucleus and pons among CCD+ group (all P < 0.01), but only with that in ipsilateral caudate and putamen among CCD- group (both P < 0.001). These results provide additional insight into the involvement of both cortico-ponto-cerebellar and cortico-rubral pathways in the presence of CCD, underlining the need for further investigation about the role of their aberrant metabolic connectivities in the associated symptoms of CCD.
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Affiliation(s)
- Yuankai Zhu
- Department of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Ave, Wuhan 430030, China
| | - Ge Ruan
- Department of Radiology, Hospital, Hubei University, Wuhan 430062, China
| | - Zhaoting Cheng
- Department of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Ave, Wuhan 430030, China
| | - Sijuan Zou
- Department of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Ave, Wuhan 430030, China
| | - Xiaohua Zhu
- Department of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Ave, Wuhan 430030, China.
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14
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McAfee SS, Zhang S, Zou P, Conklin HM, Raches D, Robinson G, Gajjar A, Khan R, Klimo P, Patay Z, Scoggins MA. Fastigial nuclei surgical damage and focal midbrain disruption implicate PAG survival circuits in cerebellar mutism syndrome. Neuro Oncol 2022; 25:375-385. [PMID: 35789275 PMCID: PMC9925705 DOI: 10.1093/neuonc/noac168] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Pediatric postoperative cerebellar mutism syndrome (CMS) is a rare but well-known complication of medulloblastoma (Mb) resection with devastating effects on expressive language, mobility, cognition, and emotional regulation that diminishes quality of life for many Mb survivors. The specific anatomical and neuronal basis of CMS remains obscure. We address this issue by identifying patterns of surgical damage and secondary axonal degeneration in Mb survivors with CMS. METHODS Children with Mb deemed high risk for CMS based on intraventricular location of the tumor had T1 images analyzed for location(s) of surgical damage using a specially developed algorithm. We used three complementary methods of spatial analysis to identify surgical damage linked to CMS diagnosis. Magnetization transfer ratio (MTR) images were analyzed for evidence of demyelination in anatomic regions downstream of the cerebellum, indicating neuronal dysfunction. RESULTS Spatial analyses highlighted damage to the fastigial nuclei and their associated cerebellar cortices as the strongest predictors of CMS. CMS-related MTR decrease was greatest in the ventral periaqueductal gray (PAG) area and highly consistent in the left red nucleus. CONCLUSION Our evidence points to disruption of output from the fastigial nuclei as a likely causal trigger for CMS. We propose that core CMS symptoms result from a disruption in the triggering of survival behaviors regulated by the PAG, including the gating of vocalization and volitional movement. The fastigial nuclei provide the densest output to the PAG from the cerebellum, thus sparing these structures may provide a greater likelihood of CMS prevention.
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Affiliation(s)
- Samuel S McAfee
- Corresponding Author: Samuel S. McAfee, PhD, Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, 262 Danny Thomas Pl, Chili’s Care Center, Room I3210, Memphis, TN 38105, USA ()
| | - Silu Zhang
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Ping Zou
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Heather M Conklin
- Department of Psychology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Darcy Raches
- Department of Psychology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Giles Robinson
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Amar Gajjar
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Raja Khan
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Paul Klimo
- Department of Surgery, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Zoltan Patay
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Matthew A Scoggins
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
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15
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Kirshenbaum JS, Chahal R, Ho TC, King LS, Gifuni AJ, Mastrovito D, Coury SM, Weisenburger RL, Gotlib IH. Correlates and predictors of the severity of suicidal ideation in adolescence: an examination of brain connectomics and psychosocial characteristics. J Child Psychol Psychiatry 2022; 63:701-714. [PMID: 34448494 PMCID: PMC8882198 DOI: 10.1111/jcpp.13512] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/15/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Suicidal ideation (SI) typically emerges during adolescence but is challenging to predict. Given the potentially lethal consequences of SI, it is important to identify neurobiological and psychosocial variables explaining the severity of SI in adolescents. METHODS In 106 participants (59 female) recruited from the community, we assessed psychosocial characteristics and obtained resting-state fMRI data in early adolescence (baseline: aged 9-13 years). Across 250 brain regions, we assessed local graph theory-based properties of interconnectedness: local efficiency, eigenvector centrality, nodal degree, within-module z-score, and participation coefficient. Four years later (follow-up: ages 13-19 years), participants self-reported their SI severity. We used least absolute shrinkage and selection operator (LASSO) regressions to identify a linear combination of psychosocial and brain-based variables that best explain the severity of SI symptoms at follow-up. Nested-cross-validation yielded model performance statistics for all LASSO models. RESULTS A combination of psychosocial and brain-based variables explained subsequent severity of SI (R2 = .55); the strongest was internalizing and externalizing symptom severity at follow-up. Follow-up LASSO regressions of psychosocial-only and brain-based-only variables indicated that psychosocial-only variables explained 55% of the variance in SI severity; in contrast, brain-based-only variables performed worse than the null model. CONCLUSIONS A linear combination of baseline and follow-up psychosocial variables best explained the severity of SI. Follow-up analyses indicated that graph theory resting-state metrics did not increase the prediction of the severity of SI in adolescents. Attending to internalizing and externalizing symptoms is important in early adolescence; resting-state connectivity properties other than local graph theory metrics might yield a stronger prediction of the severity of SI.
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Affiliation(s)
- Jaclyn S. Kirshenbaum
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, USA
| | - Rajpreet Chahal
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, USA
| | - Tiffany C. Ho
- Department of Psychiatry and Behavioral Sciences; Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Lucy S. King
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, USA
| | - Anthony J. Gifuni
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, USA,Psychiatry Department and Douglas Mental Health University Institute, McGill University, Montréal, Québec, Canada
| | - Dana Mastrovito
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, USA
| | - Saché M. Coury
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, USA
| | | | - Ian H. Gotlib
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, USA
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16
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Pineda-Pardo JA, Sánchez-Ferro Á, Monje MHG, Pavese N, Obeso JA. Onset pattern of nigrostriatal denervation in early Parkinson's disease. Brain 2022; 145:1018-1028. [PMID: 35349639 DOI: 10.1093/brain/awab378] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 09/06/2021] [Accepted: 09/09/2021] [Indexed: 12/12/2022] Open
Abstract
The striatal dopaminergic deficit in Parkinson's disease exhibits a typical pattern, extending from the caudal and dorsal putamen at onset to its more rostral region as the disease progresses. Clinically, upper-limb onset of cardinal motor features is the rule. Thus, according to current understanding of striatal somatotopy (i.e. the lower limb is dorsal to the upper limb) the assumed pattern of early dorsal striatal dopaminergic denervation in Parkinson's disease does not fit with an upper-limb onset. We have examined the topography of putaminal denervation in a cohort of 23 recently diagnosed de novo Parkinson's disease patients and 19 age-/gender-matched healthy subjects assessed clinically and by 18F-DOPA PET; 15 patients were re-assessed after 2 years. There was a net upper-limb predominance of motor features at onset. Caudal denervation of the putamen was confirmed in both the more- and less-affected hemispheres and corresponding hemibodies. Spatial covariance analysis of the most affected hemisphere revealed a pattern of 18F-DOPA uptake rate deficit that suggested focal dopamine loss starting in the posterolateral and intermediate putamen. Functional MRI group-activation maps during a self-paced motor task were used to represent the somatotopy of the putamen and were then used to characterize the decline in 18F-DOPA uptake rate in the upper- and lower-limb territories. This showed a predominant decrement in both hemispheres, which correlated significantly with severity of bradykinesia. A more detailed spatial analysis revealed a dorsoventral linear gradient of 18F-DOPA uptake rate in Parkinson's disease patients, with the highest putamen denervation in the caudal intermediate subregion (dorsoventral plane) compared to healthy subjects. The latter area coincides with the functional representation of the upper limb. Clinical motor assessment at 2-year follow-up showed modest worsening of parkinsonism in the primarily affected side and more noticeable increases in the upper limb in the less-affected side. Concomitantly, 18F-DOPA uptake rate in the less-affected putamen mimicked that recognized on the most-affected side. Our findings suggest that early dopaminergic denervation in Parkinson's disease follows a somatotopically related pattern, starting with the upper-limb representation in the putamen and progressing over a 2-year period in the less-affected hemisphere. These changes correlate well with the clinical presentation and evolution of motor features. Recognition of a precise somatotopic onset of nigrostriatal denervation may help to better understand the onset and progression of dopaminergic neurodegeneration in Parkinson's disease and eventually monitor the impact of putative therapies.
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Affiliation(s)
- José A Pineda-Pardo
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.,Universidad San Pablo-CEU, Madrid, Spain.,CIBERNED, Instituto de Salud Carlos III, Madrid, Spain
| | - Álvaro Sánchez-Ferro
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.,Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Mariana H G Monje
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.,Universidad San Pablo-CEU, Madrid, Spain.,CIBERNED, Instituto de Salud Carlos III, Madrid, Spain.,Ken and Ruth Davee Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Nicola Pavese
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark.,Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - José A Obeso
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain.,Universidad San Pablo-CEU, Madrid, Spain.,CIBERNED, Instituto de Salud Carlos III, Madrid, Spain
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17
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Betrouni N, Moreau C, Rolland AS, Carrière N, Viard R, Lopes R, Kuchcinski G, Eusebio A, Thobois S, Hainque E, Hubsch C, Rascol O, Brefel C, Drapier S, Giordana C, Durif F, Maltête D, Guehl D, Hopes L, Rouaud T, Jarraya B, Benatru I, Tranchant C, Tir M, Chupin M, Bardinet E, Defebvre L, Corvol JC, Devos D. Can Dopamine Responsiveness Be Predicted in Parkinson's Disease Without an Acute Administration Test? JOURNAL OF PARKINSON'S DISEASE 2022; 12:2179-2190. [PMID: 35871363 DOI: 10.3233/jpd-223334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Dopamine responsiveness (dopa-sensitivity) is an important parameter in the management of patients with Parkinson's disease (PD). For quantification of this parameter, patients undergo a challenge test with acute Levodopa administration after drug withdrawal, which may lead to patient discomfort and use of significant resources. OBJECTIVE Our objective was to develop a predictive model combining clinical scores and imaging. METHODS 350 patients, recruited by 13 specialist French centers and considered for deep brain stimulation, underwent an acute L-dopa challenge (dopa-sensitivity > 30%), full assessment, and MRI investigations, including T1w and R2* images. Data were randomly divided into a learning base from 10 centers and data from the remaining centers for testing. A machine selection approach was applied to choose the optimal variables and these were then used in regression modeling. Complexity of the modelling was incremental, while the first model considered only clinical variables, the subsequent included imaging features. The performances were evaluated by comparing the estimated values and actual valuesResults:Whatever the model, the variables age, sex, disease duration, and motor scores were selected as contributors. The first model used them and the coefficients of determination (R2) was 0.60 for the testing set and 0.69 in the learning set (p < 0.001). The models that added imaging features enhanced the performances: with T1w (R2 = 0.65 and 0.76, p < 0.001) and with R2* (R2 = 0.60 and 0.72, p < 0.001). CONCLUSION These results suggest that modeling is potentially a simple way to estimate dopa-sensitivity, but requires confirmation in a larger population, including patients with dopa-sensitivity < 30.
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Affiliation(s)
- Nacim Betrouni
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
| | - Caroline Moreau
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neurology and Movement Disorders Department, Reference Center for Parkinson's Disease, Lille, France; NS-Park French Network
| | - Anne-Sophie Rolland
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
| | - Nicolas Carrière
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neurology and Movement Disorders Department, Reference Center for Parkinson's Disease, Lille, France; NS-Park French Network
- University Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, Lille, France; NS-Park French Network
| | - Romain Viard
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- University Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, Lille, France; NS-Park French Network
| | - Renaud Lopes
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- University Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, Lille, France; NS-Park French Network
| | - Gregory Kuchcinski
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neuroradioloy Department, Lille, France
| | - Alexandre Eusebio
- Aix Marseille Universitë, AP-HM, Hôpital de La Timone, Service de Neurologie et Pathologie du Mouvement, UMR CNRS 7289, Institut de Neuroscience de La Timone, Marseille, France; NS-Park French Network
| | - Stephane Thobois
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Neurologie C, Bron, France
| | - Elodie Hainque
- Dëpartement de Neurologie, Hôpital Pitië-Salpêtrière, AP-HP, Paris, France; NS-Park French Network
| | - Cecile Hubsch
- Fondation Ophtalmologique A de Rothschild, Unitë James Parkinson, Paris, France; NS-Park French Network
| | - Olivier Rascol
- University of Toulouse 3, University Hospital of Toulouse, INSERM, Departments of Neuroscience and Clinical Pharmacology, Clinical Investigation Center CIC 1436, Toulouse Parkinson Expert Center, NS-NeuroToul Center of Excellence for Neurodegenerative Disorders (COEN), Toulouse, France; NS-Park French Network
| | - Christine Brefel
- University of Toulouse 3, University Hospital of Toulouse, INSERM, Departments of Neuroscience and Clinical Pharmacology, Clinical Investigation Center CIC 1436, Toulouse Parkinson Expert Center, NS-NeuroToul Center of Excellence for Neurodegenerative Disorders (COEN), Toulouse, France; NS-Park French Network
| | - Sophie Drapier
- Service de Neurologie, CHU Pont Chaillou, 2 rue Henri le Guilloux, Rennes cedex, France; NS-Park French Network
| | - Caroline Giordana
- Universitë Clermont Auvergne, EA7280, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France; NS-Park French Network
| | - Franck Durif
- Universitë Clermont Auvergne, EA7280, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France; NS-Park French Network
| | - David Maltête
- Department of Neurology, Rouen University Hospital and University of Rouen, France; INSERM U1239, Laboratory of Neuronal and Neuroendocrine Differentiation and Communication, Mont-Saint-Aignan, France; NS-Park French Network
| | - Dominique Guehl
- Service d'Explorations Fonctionnelles du Système Nerveux, Institut des Maladies Neurodëgënëratives Cliniques, CHU de Bordeaux, Bordeaux, France; NS-Park French Network
| | - Lucie Hopes
- Neurology Department, Nancy University Hospital, Nancy, France; NS-Park French Network
| | - Tiphaine Rouaud
- Clinique Neurologique, Hôpital Guillaume et Renë Laennec, Boulevard Jacques Monod, Nantes Cedex, France; NS-Park French Network
| | - Bechir Jarraya
- Movement Disorders Unit, Foch Hospital, Universitë Paris-Saclay (UVSQ), INSERM U992, NeuroSpin, CEA Paris-Saclay, Suresnes, France; NS-Park French Network
| | - Isabelle Benatru
- Service de Neurologie, Centre Expert Parkinson, CIC-INSERM 1402, CHU Poitiers, Poitiers, France; NS-Park French Network
| | - Christine Tranchant
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France; Institut de Gënëtique et de Biologie Molëculaire et Cellulaire (IGBMC), INSERM-U964/CNRS-UMR7104/Universitë de Strasbourg, Illkirch, France; Fëdëration de Mëdecine Translationnelle de Strasbourg (FMTS), Universitë de Strasbourg, Strasbourg, France; NS-Park French Network
| | - Melissa Tir
- Department of Neurosurgery, Amiens University Hospital, Amiens, France; Medical Imaging Unit, Amiens University Hospital, Amiens, France; BioFlowImage Research Group, Jules Verne University of Picardie, Amiens, France; NS-Park French Network
| | - Marie Chupin
- CATI, Institut du Cerveau et de le Moelle Epinière, ICM, INSERM U1127, CNRS UMR7225, Sorbonne Universitë, Paris, France
| | - Eric Bardinet
- Institut du Cerveau et de le Moelle Epinière, ICM, INSERM U1127, CNRS UMR7225, Sorbonne Universitë, Paris, France
| | - Luc Defebvre
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neurology and Movement Disorders Department, Reference Center for Parkinson's Disease, Lille, France; NS-Park French Network
| | - Jean-Christophe Corvol
- Dëpartement de Neurologie, Hôpital Pitië-Salpêtrière, AP-HP, Paris, France; NS-Park French Network
- Facultë de Mëdecine de Sorbonne Universitë, UMR S 1127, INSERM U 1127, and CNRS UMR 7225, and Institut du Cerveau et de la Moëlle Epinière, Paris, France; NS-Park French Network
| | - David Devos
- University Lille, INSERM, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, LICEND, Lille, France
- CHU Lille, Neurology and Movement Disorders Department, Reference Center for Parkinson's Disease, Lille, France; NS-Park French Network
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Bohnen NI, Kanel P, Koeppe RA, Sanchez-Catasus CA, Frey KA, Scott P, Constantine GM, Albin RL, Müller MLTM. Regional cerebral cholinergic nerve terminal integrity and cardinal motor features in Parkinson's disease. Brain Commun 2021; 3:fcab109. [PMID: 34704022 PMCID: PMC8196256 DOI: 10.1093/braincomms/fcab109] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/08/2021] [Accepted: 04/12/2021] [Indexed: 01/21/2023] Open
Abstract
Clinical effects of anti-cholinergic drugs implicate cholinergic systems alterations in the pathophysiology of some cardinal motor impairments in Parkinson’s disease. The topography of affected cholinergic systems deficits and motor domain specificity are poorly understood. Parkinson's disease patients (n = 108) underwent clinical and motor assessment and vesicular acetylcholine transporter [18F]-fluoroethoxybenzovesamicol PET imaging. Volumes-of-interest-based analyses included detailed thalamic and cerebellar parcellations. Successful PET sampling for most of the small-sized parcellations was available in 88 patients. A data-driven approach, stepwise regression using the forward selection method, was used to identify cholinergic brain regions associating with cardinal domain-specific motor ratings. Regressions with motor domain scores for model-selected regions followed by confounder analysis for effects of age of onset, duration of motor disease and levodopa equivalent dose were performed. Among 7 model-derived regions associating with postural instability and gait difficulties domain scores three retained significance in confounder variable analysis: medial geniculate nucleus (standardized β = −0.34, t = −3.78, P = 0.0003), lateral geniculate nucleus (β = −0.32, t = −3.4, P = 0.001) and entorhinal cortex (β = −0.23, t = −2.6, P = 0.011). A sub-analysis of non-episodic postural instability and gait difficulties scores demonstrated significant effects of the medial geniculate nucleus, entorhinal cortex and globus pallidus pars interna. Among 6 tremor domain model-selected regions two regions retained significance in confounder variable analysis: cerebellar vermis section of lobule VIIIb (β = −0.22, t = −2.4, P = 0.021) and the putamen (β = −0.23, t = −2.3, P = 0.024). None of the three model-selected variables for the rigidity domain survived confounder analysis. Two out of the four model-selected regions for the distal limb bradykinesia domain survived confounder analysis: globus pallidus pars externa (β = 0.36, t = 3.9, P = 0.0097) and the paracentral lobule (β = 0.26, t = 2.5, P = 0.013). Emphasizing the utility of a systems-network conception of the pathophysiology of Parkinson's disease cardinal motor features, our results are consistent with specific deficits in basal forebrain corticopetal, peduncupontine-laterodorsal tegmental complex, and medial vestibular nucleus cholinergic pathways, against the background of nigrostriatal dopaminergic deficits, contributing significantly to postural instability, gait difficulties, tremor and distal limb bradykinesia cardinal motor features of Parkinson’s disease. Our results suggest significant and distinct consequences of degeneration of cholinergic peduncupontine-laterodorsal tegmental complex afferents to both segments of the globus pallidus. Non-specific regional cholinergic nerve terminal associations with rigidity scores likely reflect more complex multifactorial signalling mechanisms with smaller contributions from cholinergic pathways.
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Affiliation(s)
- Nicolaas I Bohnen
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA.,Department of Neurology, University of Michigan, Ann Arbor, MI 48105, USA.,Neurology Service and GRECC, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI 48105, USA.,Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI 48105, USA
| | - Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI 48105, USA
| | - Robert A Koeppe
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI 48105, USA
| | - Carlos A Sanchez-Catasus
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI 48105, USA
| | - Kirk A Frey
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA.,Department of Neurology, University of Michigan, Ann Arbor, MI 48105, USA
| | - Peter Scott
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA
| | - Gregory M Constantine
- Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA.,Department of Statistics, University of Pittsburgh, Pittsburgh, PA 15260, USA.,The McGowen Institute for Regenerative Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA 15260, USA
| | - Roger L Albin
- Department of Neurology, University of Michigan, Ann Arbor, MI 48105, USA.,Neurology Service and GRECC, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI 48105, USA.,Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI 48105, USA
| | - Martijn L T M Müller
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI 48105, USA.,Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI 48105, USA.,Critical Path Institute, Tucson, AZ 85718, USA
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19
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Acupuncture Treatment Associated with Functional Connectivity Changes in Primary Dysmenorrhea: A Resting State fMRI Study. J Clin Med 2021; 10:jcm10204731. [PMID: 34682857 PMCID: PMC8537009 DOI: 10.3390/jcm10204731] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/08/2021] [Accepted: 10/13/2021] [Indexed: 11/22/2022] Open
Abstract
Primary dysmenorrhea (PDM) is the most commonly encountered gynecological problem in reproductive-age women. Acupuncture has been suggested as an effective treatment of PDM that may modulate descending pain modulation systems. In the present study, we used resting-state functional magnetic resonance imaging to investigate possible changes in descending pain modulation systems after acupuncture treatment in women with PDM. Thirty-four right-handed adult women with PDM participated in this randomized, single-blinded, sham-controlled study. Each patient was randomly allocated to an 8-week verum or sham acupuncture intervention on the bilateral Sanyinjiao (SP6). Resting-state functional magnetic resonance imaging was conducted before, during, and after the intervention to measure the spontaneous activity in brain. After the 8-week intervention, both verum and sham groups reported decreased menstrual pain. However, the cessation of decreased functional connectivity (FC) between periaqueductal gray matter and the regions associated with affective pain modulation and attention-related pain modulation were found in the verum but not in the sham group after the 8-week intervention. More decreased FC has been found in the region associated with non-specific effects of acupuncture intervention after the early stage of acupuncture intervention. These results indicated that verum acupuncture may intercept the altered FC in descending pain modulation systems in PDM.
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20
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Zappalá S, Bennion NJ, Potts MR, Wu J, Kusmia S, Jones DK, Evans SL, Marshall D. Full-field MRI measurements of in-vivo positional brain shift reveal the significance of intra-cranial geometry and head orientation for stereotactic surgery. Sci Rep 2021; 11:17684. [PMID: 34480073 PMCID: PMC8417262 DOI: 10.1038/s41598-021-97150-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/13/2021] [Indexed: 11/15/2022] Open
Abstract
Positional brain shift (PBS), the sagging of the brain under the effect of gravity, is comparable in magnitude to the margin of error for the success of stereotactic interventions ([Formula: see text] 1 mm). This non-uniform shift due to slight differences in head orientation can lead to a significant discrepancy between the planned and the actual location of surgical targets. Accurate in-vivo measurements of this complex deformation are critical for the design and validation of an appropriate compensation to integrate into neuronavigational systems. PBS arising from prone-to-supine change of head orientation was measured with magnetic resonance imaging on 11 young adults. The full-field displacement was extracted on a voxel-basis via digital volume correlation and analysed in a standard reference space. Results showed the need for target-specific correction of surgical targets, as a significant displacement ranging from 0.52 to 0.77 mm was measured at surgically relevant structures. Strain analysis further revealed local variability in compressibility: anterior regions showed expansion (both volume and shape change), whereas posterior regions showed small compression, mostly dominated by shape change. Finally, analysis of correlation demonstrated the potential for further patient- and intervention-specific adjustments, as intra-cranial breadth and head tilt correlated with PBS reaching statistical significance.
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Affiliation(s)
- Stefano Zappalá
- School of Computer Science and Informatics, Cardiff University, Cardiff, UK.
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
| | | | | | - Jing Wu
- School of Computer Science and Informatics, Cardiff University, Cardiff, UK
| | - Slawomir Kusmia
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Centre for Medical Image Computing, University College London, London, UK
- MRI Unit, Epilepsy Society, Chalfont St Peter, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Sam L Evans
- School of Engineering, Cardiff University, Cardiff, UK
| | - David Marshall
- School of Computer Science and Informatics, Cardiff University, Cardiff, UK
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21
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Gu Y, Sainburg LE, Kuang S, Han F, Williams JW, Liu Y, Zhang N, Zhang X, Leopold DA, Liu X. Brain Activity Fluctuations Propagate as Waves Traversing the Cortical Hierarchy. Cereb Cortex 2021; 31:3986-4005. [PMID: 33822908 PMCID: PMC8485153 DOI: 10.1093/cercor/bhab064] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The brain exhibits highly organized patterns of spontaneous activity as measured by resting-state functional magnetic resonance imaging (fMRI) fluctuations that are being widely used to assess the brain's functional connectivity. Some evidence suggests that spatiotemporally coherent waves are a core feature of spontaneous activity that shapes functional connectivity, although this has been difficult to establish using fMRI given the temporal constraints of the hemodynamic signal. Here, we investigated the structure of spontaneous waves in human fMRI and monkey electrocorticography. In both species, we found clear, repeatable, and directionally constrained activity waves coursed along a spatial axis approximately representing cortical hierarchical organization. These cortical propagations were closely associated with activity changes in distinct subcortical structures, particularly those related to arousal regulation, and modulated across different states of vigilance. The findings demonstrate a neural origin of spatiotemporal fMRI wave propagation at rest and link it to the principal gradient of resting-state fMRI connectivity.
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Affiliation(s)
- Yameng Gu
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Lucas E Sainburg
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Sizhe Kuang
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Feng Han
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Jack W Williams
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Yikang Liu
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Nanyin Zhang
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
- The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Xiang Zhang
- College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - David A Leopold
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, and National Eye Institute, National Institutes of Health, Bethesda, MD, 20892, USA
- Section on Cognitive Neurophysiology and Imaging, Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Xiao Liu
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
- Institute for Computational and Data Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
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22
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Inter-individual performance differences in the stop-signal task are associated with fibre-specific microstructure of the fronto-basal-ganglia circuit in healthy children. Cortex 2021; 142:283-295. [PMID: 34315068 DOI: 10.1016/j.cortex.2021.06.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/06/2021] [Accepted: 06/10/2021] [Indexed: 11/20/2022]
Abstract
Previous Diffusion Tensor Imaging (DTI) studies in children suggest that developmental improvements in inhibitory control is largely mediated by the degree of white matter organisation within a right-lateralised network of fronto-basal-ganglia regions. Recent advances in diffusion imaging analysis now permit greater biological specificity, both in identifying specific fibre populations within a voxel, as well as in the underlying microstructural properties of that white matter. In the present work, employing a novel fixel-based analysis (FBA) framework, we aimed to comprehensively investigate microstructure within the fronto-basal-ganglia circuit in childhood, and its contribution to inhibition performance. Diffusion MRI data were obtained from 43 healthy children and adolescents aged 9-11 years (10.42 ± .41 years, 18 females). Response inhibition for each participant was assessed using the Stop-signal Task (SST) and quantified as a Stop-Signal Reaction Time (SSRT). All steps relevant to FBA were implemented in MRtrix3Tissue, a fork of the MRtrix3 software library. The fronto-basal-ganglia circuit were delineated using probabilistic tractography to identify the tracts connecting the subthalamic nucleus, pre-supplementary motor area and the inferior frontal gyrus. Connectivity-based fixel enhancement (CFE) was then used to assess the association between fibre density (FD) and fibre cross-section (FC) with inhibitory ability. Significant negative associations were identified for FD in both the right and left fronto-basal-ganglia circuit whereby greater FD was associated with better inhibition performance (e.g., reduced SSRTs). This effect was specifically localised to clusters of fixels within white matter proximal to the right subthalamic nucleus. We did not report any meaningful associations between SSRT and FC. Whilst findings are broadly consistent with prior DTI evidence, current results suggest that SSRT is predominantly facilitated by subcortical microstructure of the connections projecting from the subthalamic nucleus to the cortical regions of the network. Our findings extend current understanding of the role of white matter in childhood response inhibition.
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23
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Wang L, Cai XT, Zu MD, Zhang J, Deng ZR, Wang Y. Decreased Resting-State Functional Connectivity of Periaqueductal Gray in Temporal Lobe Epilepsy Comorbid With Migraine. Front Neurol 2021; 12:636202. [PMID: 34122295 PMCID: PMC8189422 DOI: 10.3389/fneur.2021.636202] [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: 12/02/2020] [Accepted: 04/15/2021] [Indexed: 11/29/2022] Open
Abstract
Objective: Patients with temporal lobe epilepsy (TLE) are at high risk for having a comorbid condition of migraine, and these two common diseases are proposed to have some shared pathophysiological mechanisms. Our recent study indicated the dysfunction of periaqueductal gray (PAG), a key pain-modulating structure, contributes to the development of pain hypersensitivity and epileptogenesis in epilepsy. This study is to investigate the functional connectivity of PAG network in epilepsy comorbid with migraine. Methods: Thirty-two patients with TLE, including 16 epilepsy patients without migraine (EwoM) and 16 epilepsy patients with comorbid migraine (EwM), and 14 matched healthy controls (HCs) were recruited and underwent resting functional magnetic resonance imaging (fMRI) scans to measure the resting-state functional connectivity (RsFC) of PAG network. The frequency and severity of migraine attacks were assessed using the Migraine Disability Assessment Questionnaire (MIDAS) and Visual Analog Scale/Score (VAS). In animal experiments, FluoroGold (FG), a retrograde tracing agent, was injected into PPN and its fluorescence detected in vlPAG to trace the neuronal projection from vlPAG to PPN. FG traced neuron number was used to evaluate the neural transmission activity of vlPAG-PPN pathway. The data were processed and analyzed using DPARSF and SPSS17.0 software. Based on the RsFC finding, the excitatory transmission of PAG and the associated brain structure was studied via retrograde tracing in combination with immunohistochemical labeling of excitatory neurons. Results: Compared to HCs group, the RsFC between PAG and the left pedunculopontine nucleus (PPN), between PAG and the corpus callosum (CC), was decreased both in EwoM and EwM group, while the RsFC between PAG and the right PPN was increased only in EwoM group but not in EwM group. Compared to EwoM group, the RsFC between PAG and the right PPN was decreased in EwM group. Furthermore, the RsFC between PAG and PPN was negatively correlated with the frequency and severity of migraine attacks. In animal study, a seizure stimulation induced excitatory transmission from PAG to PPN was decreased in rats with chronic epilepsy as compared to that in normal control rats. Conclusion: The comorbidity of epilepsy and migraine is associated with the decreased RsFC between PAG and PPN.
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Affiliation(s)
- Long Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Department of Neurology, The Second People Hospital of Hefei, Hefei, China
| | - Xin-Ting Cai
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Mei-Dan Zu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Juan Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zi-Ru Deng
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yu Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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24
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Probabilistic mapping of human functional brain networks identifies regions of high group consensus. Neuroimage 2021; 237:118164. [PMID: 34000397 PMCID: PMC8296467 DOI: 10.1016/j.neuroimage.2021.118164] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 05/11/2021] [Indexed: 11/21/2022] Open
Abstract
Many recent developments surrounding the functional network organization of the human brain have focused on data that have been averaged across groups of individuals. While such group-level approaches have shed considerable light on the brain's large-scale distributed systems, they conceal individual differences in network organization, which recent work has demonstrated to be common and widespread. This individual variability produces noise in group analyses, which may average together regions that are part of different functional systems across participants, limiting interpretability. However, cost and feasibility constraints may limit the possibility for individual-level mapping within studies. Here our goal was to leverage information about individual-level brain organization to probabilistically map common functional systems and identify locations of high inter-subject consensus for use in group analyses. We probabilistically mapped 14 functional networks in multiple datasets with relatively high amounts of data. All networks show "core" (high-probability) regions, but differ from one another in the extent of their higher-variability components. These patterns replicate well across four datasets with different participants and scanning parameters. We produced a set of high-probability regions of interest (ROIs) from these probabilistic maps; these and the probabilistic maps are made publicly available, together with a tool for querying the network membership probabilities associated with any given cortical location. These quantitative estimates and public tools may allow researchers to apply information about inter-subject consensus to their own fMRI studies, improving inferences about systems and their functional specializations.
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25
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Isherwood SJS, Bazin PL, Alkemade A, Forstmann BU. Quantity and quality: Normative open-access neuroimaging databases. PLoS One 2021; 16:e0248341. [PMID: 33705468 PMCID: PMC7951909 DOI: 10.1371/journal.pone.0248341] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 02/24/2021] [Indexed: 11/19/2022] Open
Abstract
The focus of this article is to compare twenty normative and open-access neuroimaging databases based on quantitative measures of image quality, namely, signal-to-noise (SNR) and contrast-to-noise ratios (CNR). We further the analysis through discussing to what extent these databases can be used for the visualization of deeper regions of the brain, such as the subcortex, as well as provide an overview of the types of inferences that can be drawn. A quantitative comparison of contrasts including T1-weighted (T1w) and T2-weighted (T2w) images are summarized, providing evidence for the benefit of ultra-high field MRI. Our analysis suggests a decline in SNR in the caudate nuclei with increasing age, in T1w, T2w, qT1 and qT2* contrasts, potentially indicative of complex structural age-dependent changes. A similar decline was found in the corpus callosum of the T1w, qT1 and qT2* contrasts, though this relationship is not as extensive as within the caudate nuclei. These declines were accompanied by a declining CNR over age in all image contrasts. A positive correlation was found between scan time and the estimated SNR as well as a negative correlation between scan time and spatial resolution. Image quality as well as the number and types of contrasts acquired by these databases are important factors to take into account when selecting structural data for reuse. This article highlights the opportunities and pitfalls associated with sampling existing databases, and provides a quantitative backing for their usage.
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Affiliation(s)
- Scott Jie Shen Isherwood
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - Pierre-Louis Bazin
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Anneke Alkemade
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - Birte Uta Forstmann
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
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26
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Alkemade A, Forstmann BU. Imaging of the human subthalamic nucleus. HANDBOOK OF CLINICAL NEUROLOGY 2021; 180:403-416. [PMID: 34225944 DOI: 10.1016/b978-0-12-820107-7.00025-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The human subthalamic nucleus (STN) is a small lens shaped iron rich nucleus, which has gained substantial interest as a target for deep brain stimulation surgery for a variety of movement disorders. The internal anatomy of the human STN has not been fully elucidated, and an intensive debate, discussing the level of overlap between putative limbic, associative, and motor zones within the STN is still ongoing. In this chapter, we have summarized anatomical information obtained using different neuroimaging modalities focusing on the anatomy of the STN. Additionally, we have highlighted a number of major challenges faced when using magnetic resonance imaging (MRI) approaches for the visualization of small iron rich deep brain structures such as the STN. In vivo MRI and postmortem microscopy efforts provide valuable complementary information on the internal structure of the STN, although the results are not always fully aligned. Finally, we provide an outlook on future efforts that could contribute to the development of an integrative research approach that will help with the reconciliation of seemingly divergent results across research approaches.
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Affiliation(s)
- Anneke Alkemade
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - Birte U Forstmann
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
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27
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Gabitov E, Lungu O, Albouy G, Doyon J. Movement errors during skilled motor performance engage distinct prediction error mechanisms. Commun Biol 2020; 3:763. [PMID: 33311566 PMCID: PMC7732826 DOI: 10.1038/s42003-020-01465-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 11/06/2020] [Indexed: 12/23/2022] Open
Abstract
The brain detects deviations from intended behaviors by estimating the mismatch between predicted and actual outcomes. Axiomatic to these computations are salience and valence prediction error signals, which alert the brain to the occurrence and value of unexpected events. Despite the theoretical assertion of these prediction error signals, it is unknown whether and how brain mechanisms underlying their computations support error processing during skilled motor behavior. Here we demonstrate, with functional magnetic resonance imaging, that internal detection, i.e., without externally-provided feedback, of self-generated movement errors evokes instantaneous activity increases within the salience network and delayed lingering decreases within the nucleus accumbens - a key structure in the reward valuation pathway. A widespread suppression within the sensorimotor network was also observed. Our findings suggest that neural computations of salience and valence prediction errors during skilled motor behaviors operate on different time-scales and, therefore, may contribute differentially to immediate and longer-term adaptive processes.
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Affiliation(s)
- Ella Gabitov
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, H3A 2B4, Canada. .,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada.
| | - Ovidiu Lungu
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, H3A 2B4, Canada.,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Geneviève Albouy
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, 3000, Leuven, Belgium
| | - Julien Doyon
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, H3A 2B4, Canada. .,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada.
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28
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The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database. Neuroimage 2020; 221:117200. [DOI: 10.1016/j.neuroimage.2020.117200] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 07/22/2020] [Indexed: 02/07/2023] Open
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29
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Haast RAM, Lau JC, Ivanov D, Menon RS, Uludağ K, Khan AR. Effects of MP2RAGE B 1+ sensitivity on inter-site T 1 reproducibility and hippocampal morphometry at 7T. Neuroimage 2020; 224:117373. [PMID: 32949709 DOI: 10.1016/j.neuroimage.2020.117373] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 09/11/2020] [Accepted: 09/12/2020] [Indexed: 01/19/2023] Open
Abstract
Most neuroanatomical studies are based on T1-weighted MR images, whose intensity profiles are not solely determined by the tissue's longitudinal relaxation times (T1), but also affected by varying non-T1 contributions, hampering data reproducibility. In contrast, quantitative imaging using the MP2RAGE sequence, for example, allows direct characterization of the brain based on the tissue property of interest. Combined with 7 Tesla (7T) MRI, this offers unique opportunities to obtain robust high-resolution brain data characterized by a high reproducibility, sensitivity and specificity. However, specific MP2RAGE parameter choices - e.g., to emphasize intracortical myelin-dependent contrast variations - can substantially impact image quality and cortical analyses through remnants of B1+-related intensity variations, as illustrated in our previous work. To follow up on this: we (1) validate this protocol effect using a dataset acquired with a particularly B1+ insensitive set of MP2RAGE parameters combined with parallel transmission excitation; and (2) extend our analyses to evaluate the effects on hippocampal morphometry. The latter remained unexplored initially, but can provide important insights related to generalizability and reproducibility of neurodegenerative research using 7T MRI. We confirm that B1+ inhomogeneities have a considerably variable effect on cortical T1 estimates, as well as on hippocampal morphometry depending on the MP2RAGE setup. While T1 differed substantially across datasets initially, we show the inter-site T1 comparability improves after correcting for the spatially varying B1+ field using a separately acquired Sa2RAGE B1+ map. Finally, removal of B1+ residuals affects hippocampal volumetry and boundary definitions, particularly near structures characterized by strong intensity changes (e.g. cerebral spinal fluid). Taken together, we show that the choice of MP2RAGE parameters can impact T1 comparability across sites and present evidence that hippocampal segmentation results are modulated by B1+ inhomogeneities. This calls for careful (1) consideration of sequence parameters when setting acquisition protocols, as well as (2) acquisition of a B1+ map to correct MP2RAGE data for potential B1+ variations to allow comparison across datasets.
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Affiliation(s)
- Roy A M Haast
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada.
| | - Jonathan C Lau
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Department of Clinical Neurological Sciences, Division of Neurosurgery, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | - Dimo Ivanov
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, Netherlands
| | - Ravi S Menon
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Brain and Mind Institute, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | - Kâmil Uludağ
- IBS Center for Neuroscience Imaging Research, Sungkyunkwan University, Seobu-ro, 2066, Jangan-gu, Suwon, South Korea; Department of Biomedical Engineering, N Center, Sungkyunkwan University, Seobu-ro, 2066, Jangan-gu, Suwon, South Korea; Techna Institute and Koerner Scientist in MR Imaging, University Health Network, 100 College St, Toronto, ON M5G 1L5, Canada
| | - Ali R Khan
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Brain and Mind Institute, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St. N., London, ON N6A 5B7, Canada
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30
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Xiao Y, Lau JC, Hemachandra D, Gilmore G, Khan AR, Peters TM. Image Guidance in Deep Brain Stimulation Surgery to Treat Parkinson's Disease: A Comprehensive Review. IEEE Trans Biomed Eng 2020; 68:1024-1033. [PMID: 32746050 DOI: 10.1109/tbme.2020.3006765] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Deep brain stimulation (DBS) is an effective therapy as an alternative to pharmaceutical treatments for Parkinson's disease (PD). Aside from factors such as instrumentation, treatment plans, and surgical protocols, the success of the procedure depends heavily on the accurate placement of the electrode within the optimal therapeutic targets while avoiding vital structures that can cause surgical complications and adverse neurologic effects. Although specific surgical techniques for DBS can vary, interventional guidance with medical imaging has greatly contributed to the development, outcomes, and safety of the procedure. With rapid development in novel imaging techniques, computational methods, and surgical navigation software, as well as growing insights into the disease and mechanism of action of DBS, modern image guidance is expected to further enhance the capacity and efficacy of the procedure in treating PD. This article surveys the state-of-the-art techniques in image-guided DBS surgery to treat PD, and discusses their benefits and drawbacks, as well as future directions on the topic.
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31
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Activation of cerebellum and basal ganglia during the observation and execution of manipulative actions. Sci Rep 2020; 10:12008. [PMID: 32686738 PMCID: PMC7371896 DOI: 10.1038/s41598-020-68928-w] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 06/29/2020] [Indexed: 12/02/2022] Open
Abstract
Studies on action observation mostly described the activation of a network of cortical areas, while less investigation focused specifically on the activation and role of subcortical nodes. In the present fMRI study, we investigated the recruitment of cerebellum and basal ganglia during the execution and observation of object manipulation performed with the right hand. The observation conditions consisted in: (a) observation of manipulative actions; (b) observation of sequences of random finger movements. In the execution conditions, participants had to perform the same actions or movements as in (a) and (b), respectively. The results of conjunction analysis showed significant shared activations during both observation and execution of manipulation in several subcortical structures, including: (1) cerebellar lobules V, VI, crus I, VIIIa and VIIIb (bilaterally); (2) globus pallidus, bilaterally, and left subthalamic nucleus; (3) red nucleus (bilaterally) and left thalamus. These findings support the hypothesis that the action observation/execution network also involves subcortical structures, such as cerebellum and basal ganglia, forming an integrated network. This suggests possible mechanisms, involving these subcortical structures, underlying learning of new motor skills, through action observation and imitation.
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32
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Muller J, Alizadeh M, Li L, Thalheimer S, Matias C, Tantawi M, Miao J, Silverman M, Zhang V, Yun G, Romo V, Mohamed FB, Wu C. Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator. NEUROIMAGE-CLINICAL 2019; 25:102135. [PMID: 31901789 PMCID: PMC6948366 DOI: 10.1016/j.nicl.2019.102135] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 11/27/2019] [Accepted: 12/13/2019] [Indexed: 01/03/2023]
Abstract
Deep brain stimulation (DBS) for Parkinson's disease (PD) is an established advanced therapy that produces therapeutic effects through high frequency stimulation. Although this therapeutic option leads to improved clinical outcomes, the mechanisms of the underlying efficacy of this treatment are not well understood. Therefore, investigation of DBS and its postoperative effects on brain architecture is of great interest. Diffusion weighted imaging (DWI) is an advanced imaging technique, which has the ability to estimate the structure of white matter fibers; however, clinical application of DWI after DBS implantation is challenging due to the strong susceptibility artifacts caused by implanted devices. This study aims to evaluate the feasibility of generating meaningful white matter reconstructions after DBS implantation; and to subsequently quantify the degree to which these tracts are affected by post-operative device-related artifacts. DWI was safely performed before and after implanting electrodes for DBS in 9 PD patients. Differences within each subject between pre- and post-implantation FA, MD, and RD values for 123 regions of interest (ROIs) were calculated. While differences were noted globally, they were larger in regions directly affected by the artifact. White matter tracts were generated from each ROI with probabilistic tractography, revealing significant differences in the reconstruction of several white matter structures after DBS. Tracts pertinent to PD, such as regions of the substantia nigra and nigrostriatal tracts, were largely unaffected. The aim of this study was to demonstrate the feasibility and clinical applicability of acquiring and processing DWI post-operatively in PD patients after DBS implantation. The presence of global differences provides an impetus for acquiring DWI shortly after implantation to establish a new baseline against which longitudinal changes in brain connectivity in DBS patients can be compared. Understanding that post-operative fiber tracking in patients is feasible on a clinically-relevant scale has significant implications for increasing our current understanding of the pathophysiology of movement disorders, and may provide insights into better defining the pathophysiology and therapeutic effects of DBS.
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Affiliation(s)
- J Muller
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States.
| | - M Alizadeh
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - L Li
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - S Thalheimer
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - C Matias
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - M Tantawi
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - J Miao
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - M Silverman
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - V Zhang
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - G Yun
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
| | - V Romo
- Department of Anesthesiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - F B Mohamed
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - C Wu
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States
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The cortico-rubral and cerebello-rubral pathways are topographically organized within the human red nucleus. Sci Rep 2019; 9:12117. [PMID: 31431648 PMCID: PMC6702172 DOI: 10.1038/s41598-019-48164-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 07/11/2019] [Indexed: 02/03/2023] Open
Abstract
The Red Nucleus (RN) is a large nucleus located in the ventral midbrain: it is subdivided into a small caudal magnocellular part (mRN) and a large rostral parvocellular part (pRN). These distinct structural regions are part of functionally different networks and show distinctive connectivity features: the mRN is connected to the interposed nucleus, whilst the pRN is mainly connected to dentate nucleus, cortex and inferior olivary complex. Despite functional neuroimaging studies suggest RN involvement in complex motor and higher order functions, the pRN and mRN cannot be distinguished using conventional MRI. Herein, we employ high-quality structural and diffusion MRI data of 100 individuals from the Human Connectome Project repository and constrained spherical deconvolution tractography to perform connectivity-based segmentation of the human RN. In particular, we tracked connections of RN with the inferior olivary complex, the interposed nucleus, the dentate nucleus and the cerebral cortex. We found that the RN can be subdivided according to its connectivity into two clusters: a large ventrolateral one, mainly connected with the cerebral cortex and the inferior olivary complex, and a smaller dorsomedial one, mainly connected with the interposed nucleus. This structural topography strongly reflects the connectivity patterns of pRN and mRN respectively. Structural connectivity-based segmentation could represent a useful tool for the identification of distinct subregions of the human red nucleus on 3T MRI thus allowing a better evaluation of this subcortical structure in healthy and pathological conditions.
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Cacciola A, Bertino S, Basile GA, Di Mauro D, Calamuneri A, Chillemi G, Duca A, Bruschetta D, Flace P, Favaloro A, Calabrò RS, Anastasi G, Milardi D. Mapping the structural connectivity between the periaqueductal gray and the cerebellum in humans. Brain Struct Funct 2019; 224:2153-2165. [PMID: 31165919 PMCID: PMC6591182 DOI: 10.1007/s00429-019-01893-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 05/21/2019] [Indexed: 02/06/2023]
Abstract
The periaqueductal gray is a mesencephalic structure involved in modulation of responses to stressful stimuli. Structural connections between the periaqueductal gray and the cerebellum have been described in animals and in a few diffusion tensor imaging studies. Nevertheless, these periaqueductal gray–cerebellum connectivity patterns have yet to be fully investigated in humans. The objective of this study was to qualitatively and quantitatively characterize such pathways using high-resolution, multi-shell data of 100 healthy subjects from the open-access Human Connectome Project repository combined with constrained spherical deconvolution probabilistic tractography. Our analysis revealed robust connectivity density profiles between the periaqueductal gray and cerebellar nuclei, especially with the fastigial nucleus, followed by the interposed and dentate nuclei. High-connectivity densities have been observed between vermal (Vermis IX, Vermis VIIIa, Vermis VIIIb, Vermis VI, Vermis X) and hemispheric cerebellar regions (Lobule IX). Our in vivo study provides for the first time insights on the organization of periaqueductal gray–cerebellar pathways thus opening new perspectives on cognitive, visceral and motor responses to threatening stimuli in humans.
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Affiliation(s)
- Alberto Cacciola
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.
| | - Salvatore Bertino
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianpaolo Antonio Basile
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Debora Di Mauro
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | | | - Antonio Duca
- IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy
| | - Daniele Bruschetta
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Paolo Flace
- School of Medicine, University of Bari 'Aldo Moro', Bari, Italy
| | - Angelo Favaloro
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
- School of Medicine, University of Bari 'Aldo Moro', Bari, Italy
| | | | - Giuseppe Anastasi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Demetrio Milardi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
- IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy
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Cacciola A, Milardi D, Bertino S, Basile GA, Calamuneri A, Chillemi G, Rizzo G, Anastasi G, Quartarone A. Structural connectivity-based topography of the human globus pallidus: Implications for therapeutic targeting in movement disorders. Mov Disord 2019; 34:987-996. [PMID: 31077436 DOI: 10.1002/mds.27712] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 03/31/2019] [Accepted: 04/04/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Understanding the topographical organization of the cortico-basal ganglia circuitry is of pivotal importance because of the spreading of techniques such as DBS and, more recently, MR-guided focused ultrasound for the treatment of movement disorders. A growing body of evidence has described both direct cortico- and dento-pallidal connections, although the topographical organization in vivo of these pathways in the human brain has never been reported. OBJECTIVE To investigate the topographical organization of cortico- and dento-pallidal pathways by means of diffusion MRI tractography and connectivity based parcellation. METHODS High-quality data from 100 healthy subjects from the Human Connectome Project repository were utilized. Constrained spherical deconvolution-based tractography was used to reconstruct structural cortico- and dento-pallidal connectivity. Connectivity-based parcellation was performed with a hypothesis-driven approach at three different levels: functional regions (limbic, associative, sensorimotor, and other), lobes, and gyral subareas. RESULTS External globus pallidus segregated into a ventral associative cluster, a dorsal sensorimotor cluster, and a caudal "other" cluster on the base of its cortical connectivity. Dento-pallidal connections clustered only in the internal globus pallidus, where also associative and sensorimotor clusters were identified. Lobar parcellation revealed the presence in the external globus pallidus of dissociable clusters for each cortical lobe (frontal, parietal, temporal, and occipital), whereas in internal globus pallidus only frontal and parietal clusters were found out. CONCLUSION We mapped the topographical organization of both internal and external globus pallidus according to cortical and cerebellar connections. These anatomical data could be useful in DBS, radiosurgery and MR-guided focused ultrasound targeting for treating motor and nonmotor symptoms in movement disorders. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Alberto Cacciola
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Demetrio Milardi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.,IRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy
| | - Salvatore Bertino
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianpaolo Antonio Basile
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | | | - Giuseppina Rizzo
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Giuseppe Anastasi
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
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Mulder MJ, Keuken MC, Bazin PL, Alkemade A, Forstmann BU. Size and shape matter: The impact of voxel geometry on the identification of small nuclei. PLoS One 2019; 14:e0215382. [PMID: 30978242 PMCID: PMC6461289 DOI: 10.1371/journal.pone.0215382] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 04/01/2019] [Indexed: 12/28/2022] Open
Abstract
How, and to what extent do size and shape of a voxel measured with magnetic resonance imaging (MRI) affect the ability to visualize small brain nuclei? Despite general consensus that voxel geometry affects volumetric properties of regions of interest, particularly those of small brain nuclei, no quantitative data on the influence of voxel size and shape on labeling accuracy is available. Using simulations, we investigated the selective influence of voxel geometry by reconstructing simulated ellipsoid structures with voxels varying in shape and size. For each reconstructed ellipsoid, we calculated differences in volume and similarity between the labeled volume and the predefined dimensions of the ellipsoid. Probability functions were derived from one or two individual raters and a simulated ground truth for reference. As expected, larger voxels (i.e., coarser resolution) and increasing anisotropy results in increased deviations of both volume and shape measures, which is of particular relevance for small brain structures. Our findings clearly illustrate the anatomical inaccuracies introduced by the application of large and/or anisotropic voxels. To ensure deviations occur within the acceptable range (Dice coefficient scores; DCS > 0.75, corresponding to < 57% volume deviation), the volume of isotropic voxels should not exceed 5% of the total volume of the region of interest. When high accuracy is required (DCS > 0.90, corresponding to a < 19% volume deviation), the volumes of isotropic voxels should not exceed 0.08%, of the total volume. Finally, when large anisotropic factors (>3) are used, and the ellipsoid is orthogonal to the slice axes, having its long axis in the imaging plane, the voxel volume should not exceed 0.005% of the total volume. This allows sufficient compensation of anisotropy effects, in order to reach accuracy in the acceptable range (DCS > 0.75, corresponding to >57% volume deviation).
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Affiliation(s)
- Martijn J Mulder
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands.,Experimental Psychology, Utrecht University, Utrecht, the Netherlands
| | - Max C Keuken
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - Pierre-Louis Bazin
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands.,Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Anneke Alkemade
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
| | - Birte U Forstmann
- Integrative Model-Based Cognitive Neuroscience Research Unit, University of Amsterdam, Amsterdam, The Netherlands
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Linck PA, Kuchcinski G, Munsch F, Griffier R, Lopes R, Okubo G, Sagnier S, Renou P, Asselineau J, Perez P, Dousset V, Sibon I, Tourdias T. Neurodegeneration of the Substantia Nigra after Ipsilateral Infarct: MRI R2* Mapping and Relationship to Clinical Outcome. Radiology 2019; 291:438-448. [PMID: 30860451 DOI: 10.1148/radiol.2019182126] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background The substantia nigra (SN) is suspected to be affected after remote infarction, in view of its large array of connections with the supratentorial brain. Whether secondary involvement of SN worsens overall clinical outcome after a supratentorial stroke has not previously been studied. Purpose To assess longitudinal changes in SN R2* by using MRI in the setting of ipsilesional supratentorial infarct and the relationship of SN signal change to clinical outcome. Materials and Methods Participants prospectively included from 2012 to 2015 were evaluated at 24-72 hours (baseline visit) and at 1 year with MRI to quantify R2*. The SN was segmented bilaterally to calculate an R2* asymmetry index (SN-AI); greater SN-AI indicated greater relative R2* in the ipsilateral compared with contralateral SN. The 95th percentile of R2* (hereafter, SN-AI95) was compared according to infarct location with mixed linear regression models. We also conducted voxel-based comparisons of R2* and identified individual infarcted voxels associated with high SN-AI95 through voxel-based lesion-symptom mapping. Multivariable regression models tested the association between SN-AI95 and clinical scores. Results A total of 181 participants were evaluated (127 men, 54 women; mean age ± standard deviation, 64.2 years ± 13.1; 75 striatum infarcts, 106 other locations). Visual inspection, SN-AI95, and average maps consistently showed higher SN R2* at 1 year if ipsilateral striatum was infarcted than if it was not (SN-AI95, 4.25 vs -0.88; P < .001), but this was not observed at baseline. The striatal location of the infarct was associated with higher SN-AI95 at 1 year independently from infarct volume, SN-AI95 at baseline, microbleeds, age, and sex (β = 4.99; P < .001). Voxel-based lesion-symptom mapping confirmed that striatum but also insula, internal capsule, and external capsule were associated with higher SN-AI95 at 1 year. SN-AI95 was an independent contributor of poor motor outcome (Box and Block Test, β = -.62 points; P = .01). Conclusion In patients with stroke, greater substantia nigra R2*, likely reflective of greater iron content, can be observed at 1 year ipsilateral from remote infarcts of specific location, which is associated with worse motor function. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Vernooij in this issue.
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Affiliation(s)
- Pierre Antoine Linck
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Gregory Kuchcinski
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Fanny Munsch
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Romain Griffier
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Renaud Lopes
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Gosuke Okubo
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Sharmila Sagnier
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Pauline Renou
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Julien Asselineau
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Paul Perez
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Vincent Dousset
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Igor Sibon
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
| | - Thomas Tourdias
- From the Centre Hospitalier Universitaire (CHU) de Bordeaux, Department of Radiology and Diagnostic Neuroimaging, Bordeaux, France (P.A.L., F.M., V.D., T.T.); University of Bordeaux, Bordeaux, France (P.A.L., F.M., G.O., S.S., V.D., I.S., T.T.); CHU de Lille, Department of Neuroradiology, Lille, France (G.K., R.L.); University of Lille, Lille, France (G.K., R.L.); CHU de Bordeaux, Public Health Center, Methodological Support Unit for Clinical and Epidemiological Research, Bordeaux, France (R.G., J.A., P.P.); CHU de Bordeaux, Neurovascular Unit, Bordeaux, France (S.S., P.R., I.S.); and Institut National de la Santé et de la Recherche Médicale, Neurocentre Magendie, Bordeaux, France (V.D., T.T.)
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Li X, Chen L, Kutten K, Ceritoglu C, Li Y, Kang N, Hsu JT, Qiao Y, Wei H, Liu C, Miller MI, Mori S, Yousem DM, van Zijl PCM, Faria AV. Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. Neuroimage 2019; 191:337-349. [PMID: 30738207 DOI: 10.1016/j.neuroimage.2019.02.016] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 02/03/2019] [Accepted: 02/06/2019] [Indexed: 01/09/2023] Open
Abstract
Quantification of tissue magnetic susceptibility using MRI offers a non-invasive measure of important tissue components in the brain, such as iron and myelin, potentially providing valuable information about normal and pathological conditions during aging. Despite many advances made in recent years on imaging techniques of quantitative susceptibility mapping (QSM), accurate and robust automated segmentation tools for QSM images that can help generate universal and sharable susceptibility measures in a biologically meaningful set of structures are still not widely available. In the present study, we developed an automated process to segment brain nuclei and quantify tissue susceptibility in these regions based on a susceptibility multi-atlas library, consisting of 10 atlases with T1-weighted images, gradient echo (GRE) magnitude images and QSM images of brains with different anatomic patterns. For each atlas in this library, 10 regions of interest in iron-rich deep gray matter structures that are better defined by QSM contrast were manually labeled, including caudate, putamen, globus pallidus internal/external, thalamus, pulvinar, subthalamic nucleus, substantia nigra, red nucleus and dentate nucleus in both left and right hemispheres. We then tested different pipelines using different combinations of contrast channels to bring the set of labels from the multi-atlases to each target brain and compared them with the gold standard manual delineation. The results showed that the segmentation accuracy using dual contrasts QSM/T1 pipeline outperformed other dual-contrast or single-contrast pipelines. The dice values of 0.77 ± 0.09 using the QSM/T1 multi-atlas pipeline rivaled with the segmentation reliability obtained from multiple evaluators with dice values of 0.79 ± 0.07 and gave comparable or superior performance in segmenting subcortical nuclei in comparison with standard FSL FIRST or recent multi-atlas package of volBrain. The segmentation performance of the QSM/T1 multi-atlas was further tested on QSM images acquired using different acquisition protocols and platforms and showed good reliability and reproducibility with average dice of 0.79 ± 0.08 to manual labels and 0.89 ± 0.04 in an inter-protocol manner. The extracted quantitative magnetic susceptibility values in the deep gray matter nuclei also correlated well between different protocols with inter-protocol correlation constants all larger than 0.97. Such reliability and performance was ultimately validated in an external dataset acquired at another study site with consistent susceptibility measures obtained using the QSM/T1 multi-atlas approach in comparison to those using manual delineation. In summary, we designed a susceptibility multi-atlas tool for automated and reliable segmentation of QSM images and for quantification of magnetic susceptibilities. It is publicly available through our cloud-based platform (www.mricloud.org). Further improvement on the performance of this multi-atlas tool is expected by increasing the number of atlases in the future.
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Affiliation(s)
- Xu Li
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
| | - Lin Chen
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China
| | - Kwame Kutten
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA
| | - Can Ceritoglu
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Yue Li
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ningdong Kang
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John T Hsu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ye Qiao
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hongjiang Wei
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Chunlei Liu
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - Michael I Miller
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Susumu Mori
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David M Yousem
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter C M van Zijl
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Andreia V Faria
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Functional neuroanatomical review of the ventral tegmental area. Neuroimage 2019; 191:258-268. [PMID: 30710678 DOI: 10.1016/j.neuroimage.2019.01.062] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 01/22/2019] [Accepted: 01/23/2019] [Indexed: 12/19/2022] Open
Abstract
The ventral tegmental area (VTA) and substantia nigra pars compacta (SNc) are assumed to play a key role in dopamine-related functions such as reward-related behaviour, motivation, addiction and motor functioning. Although dopamine-producing midbrain structures are bordering, they show significant differences in structure and function that argue for a distinction when studying the functions of the dopaminergic midbrain, especially by means of neuroimaging. First, unlike the SNc, the VTA is not a nucleus, which makes it difficult to delineate the structure due to lack of clear anatomical borders. Second, there is no consensus in the literature about the anatomical nomenclature to describe the VTA. Third, these factors in combination with limitations in magnetic resonance imaging (MRI) complicate VTA visualization. We suggest that developing an MRI-compatible probabilistic atlas of the VTA will help to overcome these issues. Such an atlas can be used to identify the individual VTA and serve as region-of-interest for functional MRI.
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Sharkey RJ, Bourque J, Larcher K, Mišić B, Zhang Y, Altınkaya A, Sadikot A, Conrod P, Evans AC, Garavan H, Leyton M, Séguin JR, Pihl R, Dagher A. Mesolimbic connectivity signatures of impulsivity and BMI in early adolescence. Appetite 2019; 132:25-36. [PMID: 30273626 DOI: 10.1016/j.appet.2018.09.019] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 09/11/2018] [Accepted: 09/24/2018] [Indexed: 02/07/2023]
Abstract
Across age groups, differences in connectivity of the mesolimbic and the prefrontal cortex co-vary with trait impulsivity and sensation-seeking. Impulsivity and sensation-seeking are also known to increase during early adolescence as maturation of subcortical structures outpaces that of the prefrontal cortex. While an imbalance between the striatum and prefrontal cortex is considered a normal developmental process, higher levels of adolescent impulsivity and sensation-seeking are associated with an increased risk for diverse problems, including obesity. To determine how the relationship between sensation-seeking, impulsivity and body mass index (BMI) is related to shared neural correlates we measured their relationships with the connectivity of nuclei in the striatum and dopaminergic midbrain in young adolescents. Data were collected from 116 children between the ages of 12 and 14, and included resting state functional magnetic resonance imaging, personality measures from the Substance Use Risk Profile Scale, and BMI Z-score for age. The shared variance for the connectivity of regions of interest in the substantia nigra, ventral tegmental area, ventral striatum and sub-thalamic nucleus, personality measures and BMI Z-score for age, were analyzed using partial least squares correlation. This analysis identified a single significant striato-limbic network that was connected with the substantia nigra, ventral tegmental area and sub-thalamic nuclei (p = 0.002). Connectivity within this network which included the hippocampi, amygdalae, parahippocampal gyri and the regions of interest, correlated positively with impulsivity and BMI Z-score for age and negatively with sensation-seeking. Together, these findings emphasize that, in addition to the well-established role that frontostriatal circuits play in the development of adolescent personality traits, connectivity of limbic regions with the striatum and midbrain also impact impulsivity, sensation-seeking and BMI Z-score in adolescents.
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Affiliation(s)
- Rachel J Sharkey
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| | - Josiane Bourque
- CHU Hospital Ste-Justine, Université de Montreal, Montreal, QC, Canada
| | - Kevin Larcher
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Bratislav Mišić
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Yu Zhang
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Ayça Altınkaya
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Abbas Sadikot
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Patricia Conrod
- CHU Hospital Ste-Justine, Université de Montreal, Montreal, QC, Canada; Institute of Psychiatry, Psychology and Neuroscience, Kings College, London, United Kingdom
| | - Alan C Evans
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, United States
| | - Marco Leyton
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Jean R Séguin
- CHU Hospital Ste-Justine, Université de Montreal, Montreal, QC, Canada
| | - Robert Pihl
- Department of Psychology, McGill University, Montreal, QC, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
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41
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Klingner CM, Brodoehl S, Witte OW, Guntinas-Lichius O, Volk GF. The impact of motor impairment on the processing of sensory information. Behav Brain Res 2018; 359:701-708. [PMID: 30248364 DOI: 10.1016/j.bbr.2018.09.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 08/19/2018] [Accepted: 09/19/2018] [Indexed: 11/26/2022]
Abstract
Sensorimotor adaptation is driven by mismatch errors between desired movements and actual movement outcomes. A mismatch error can be minimized by adjusting movements or by altering the interpretation of sensory information. While the effect of mismatch errors on the motor system has received much attention, the contribution of somatosensory feedback, particularly the sensory-motor interplay in the process of adaptation, remains poorly understood. Our study analyzes the impact of peripheral deefferentation on the plasticity of the brain networks responsible for sensory-motor adaptation, focusing particularly on changes in the processing of somatosensory information. For this aim, task-based and resting-state functional MRI was performed on 24 patients in the acute state of a left-sided idiopathic peripheral facial nerve palsy. The functional connectivity of cortical and subcortical networks was analyzed and compared to a healthy control group. We found a strong involvement of the somatosensory system and the thalamus in the adaptation process following an acute peripheral deefferentation. The investigated network shows the principal pattern of a reduced connectivity between cortical areas, while the connectivity to subcortical areas (the basal ganglia and the thalamus) is increased. We suggest that the increased connectivity between the subcortical and cortical structures indicates an active sensory-motor adaptation process. We further hypothesize that the decreased functional connectivity at the cortical level reflects an unsuccessful sensorimotor adaptation process due to the inability to solve the somatosensory-motor mismatch. These results extend our understanding of the somatosensory-motor interaction in response to a mismatch signal and highlight the importance of the thalamus in this process.
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Affiliation(s)
- Carsten M Klingner
- Hans Berger Department of Neurology, Jena University Hospital, Germany; Biomagnetic Center, University Hospital, Germany; Facial-Nerve-Center, Jena University Hospital, Germany.
| | - Stefan Brodoehl
- Hans Berger Department of Neurology, Jena University Hospital, Germany; Biomagnetic Center, University Hospital, Germany
| | - Otto W Witte
- Hans Berger Department of Neurology, Jena University Hospital, Germany
| | - Orlando Guntinas-Lichius
- Department of Otorhinolaryngology, Jena University Hospital, Germany; Facial-Nerve-Center, Jena University Hospital, Germany
| | - Gerd F Volk
- Department of Otorhinolaryngology, Jena University Hospital, Germany; Facial-Nerve-Center, Jena University Hospital, Germany
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Chen X, Zhang C, Li Y, Huang P, Lv Q, Yu W, Chen S, Sun B, Wang Z. Functional Connectivity-Based Modelling Simulates Subject-Specific Network Spreading Effects of Focal Brain Stimulation. Neurosci Bull 2018; 34:921-938. [PMID: 30043099 PMCID: PMC6246850 DOI: 10.1007/s12264-018-0256-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Accepted: 05/16/2018] [Indexed: 12/23/2022] Open
Abstract
Neurostimulation remarkably alleviates the symptoms in a variety of brain disorders by modulating the brain-wide network. However, how brain-wide effects on the direct and indirect pathways evoked by focal neurostimulation elicit therapeutic effects in an individual patient is unknown. Understanding this remains crucial for advancing neural circuit-based guidance to optimize candidate patient screening, pre-surgical target selection, and post-surgical parameter tuning. To address this issue, we propose a functional brain connectome-based modeling approach that simulates the spreading effects of stimulating different brain regions and quantifies the rectification of abnormal network topology in silico. We validated these analyses by pinpointing nuclei in the basal ganglia circuits as top-ranked targets for 43 local patients with Parkinson’s disease and 90 patients from a public database. Individual connectome-based analysis demonstrated that the globus pallidus was the best choice for 21.1% and the subthalamic nucleus for 19.5% of patients. Down-regulation of functional connectivity (up to 12%) at these prioritized targets optimally maximized the therapeutic effects. Notably, the priority rank of the subthalamic nucleus significantly correlated with motor symptom severity (Unified Parkinson’s Disease Rating Scale III) in the local cohort. These findings underscore the potential of neural network modeling for advancing personalized brain stimulation therapy, and warrant future experimental investigation to validate its clinical utility.
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Affiliation(s)
- Xiaoyu Chen
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chencheng Zhang
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuxin Li
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.,Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Pei Huang
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qian Lv
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wenwen Yu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Shengdi Chen
- Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Bomin Sun
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Zheng Wang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
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Mesocorticolimbic Connectivity and Volumetric Alterations in DCC Mutation Carriers. J Neurosci 2018; 38:4655-4665. [PMID: 29712788 DOI: 10.1523/jneurosci.3251-17.2018] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 03/29/2018] [Accepted: 04/07/2018] [Indexed: 01/25/2023] Open
Abstract
The axon guidance cue receptor DCC (deleted in colorectal cancer) plays a critical role in the organization of mesocorticolimbic pathways in rodents. To investigate whether this occurs in humans, we measured (1) anatomical connectivity between the substantia nigra/ventral tegmental area (SN/VTA) and forebrain targets, (2) striatal and cortical volumes, and (3) putatively associated traits and behaviors. To assess translatability, morphometric data were also collected in Dcc-haploinsufficient mice. The human volunteers were 20 DCC+/- mutation carriers, 16 DCC+/+ relatives, and 20 DCC+/+ unrelated healthy volunteers (UHVs; 28 females). The mice were 11 Dcc+/- and 16 wild-type C57BL/6J animals assessed during adolescence and adulthood. Compared with both control groups, the human DCC+/- carriers exhibited the following: (1) reduced anatomical connectivity from the SN/VTA to the ventral striatum [DCC+/+: p = 0.0005, r(effect size) = 0.60; UHV: p = 0.0029, r = 0.48] and ventral medial prefrontal cortex (DCC+/+: p = 0.0031, r = 0.53; UHV: p = 0.034, r = 0.35); (2) lower novelty-seeking scores (DCC+/+: p = 0.034, d = 0.82; UHV: p = 0.019, d = 0.84); and (3) reduced striatal volume (DCC+/+: p = 0.0009, d = 1.37; UHV: p = 0.0054, d = 0.93). Striatal volumetric reductions were also present in Dcc+/- mice, and these were seen during adolescence (p = 0.0058, d = 1.09) and adulthood (p = 0.003, d = 1.26). Together these findings provide the first evidence in humans that an axon guidance gene is involved in the formation of mesocorticolimbic circuitry and related behavioral traits, providing mechanisms through which DCC mutations might affect susceptibility to diverse neuropsychiatric disorders.SIGNIFICANCE STATEMENT Opportunities to study the effects of axon guidance molecules on human brain development have been rare. Here, the identification of a large four-generational family that carries a mutation to the axon guidance molecule receptor gene, DCC, enabled us to demonstrate effects on mesocorticolimbic anatomical connectivity, striatal volumes, and personality traits. Reductions in striatal volumes were replicated in DCC-haploinsufficient mice. Together, these processes might influence mesocorticolimbic function and susceptibility to diverse neuropsychiatric disorders.
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Middlebrooks EH, Tuna IS, Grewal SS, Almeida L, Heckman MG, Lesser ER, Foote KD, Okun MS, Holanda VM. Segmentation of the Globus Pallidus Internus Using Probabilistic Diffusion Tractography for Deep Brain Stimulation Targeting in Parkinson Disease. AJNR Am J Neuroradiol 2018; 39:1127-1134. [PMID: 29700048 DOI: 10.3174/ajnr.a5641] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Accepted: 02/24/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND PURPOSE Although globus pallidus internus deep brain stimulation is a widely accepted treatment for Parkinson disease, there is persistent variability in outcomes that is not yet fully understood. In this pilot study, we aimed to investigate the potential role of globus pallidus internus segmentation using probabilistic tractography as a supplement to traditional targeting methods. MATERIALS AND METHODS Eleven patients undergoing globus pallidus internus deep brain stimulation were included in this retrospective analysis. Using multidirection diffusion-weighted MR imaging, we performed probabilistic tractography at all individual globus pallidus internus voxels. Each globus pallidus internus voxel was then assigned to the 1 ROI with the greatest number of propagated paths. On the basis of deep brain stimulation programming settings, the volume of tissue activated was generated for each patient using a finite element method solution. For each patient, the volume of tissue activated within each of the 10 segmented globus pallidus internus regions was calculated and examined for association with a change in the Unified Parkinson Disease Rating Scale, Part III score before and after treatment. RESULTS Increasing volume of tissue activated was most strongly correlated with a change in the Unified Parkinson Disease Rating Scale, Part III score for the primary motor region (Spearman r = 0.74, P = .010), followed by the supplementary motor area/premotor cortex (Spearman r = 0.47, P = .15). CONCLUSIONS In this pilot study, we assessed a novel method of segmentation of the globus pallidus internus based on probabilistic tractography as a supplement to traditional targeting methods. Our results suggest that our method may be an independent predictor of deep brain stimulation outcome, and evaluation of a larger cohort or prospective study is warranted to validate these findings.
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Affiliation(s)
| | - I S Tuna
- Departments of Radiology (I.S.T.)
| | | | | | - M G Heckman
- Division of Biomedical Statistics and Informatics (M.G.H., E.R.L.), Mayo Clinic, Jacksonville, Florida
| | - E R Lesser
- Division of Biomedical Statistics and Informatics (M.G.H., E.R.L.), Mayo Clinic, Jacksonville, Florida
| | - K D Foote
- Neurosurgery (K.D.F.), University of Florida, Gainesville, Florida
| | | | - V M Holanda
- Center of Neurology and Neurosurgery Associates (V.M.H.), BP-A Beneficência Portuguesa de São Paulo, São Paulo, Brazil
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Puckett AM, Bollmann S, Poser BA, Palmer J, Barth M, Cunnington R. Using multi-echo simultaneous multi-slice (SMS) EPI to improve functional MRI of the subcortical nuclei of the basal ganglia at ultra-high field (7T). Neuroimage 2017; 172:886-895. [PMID: 29208571 DOI: 10.1016/j.neuroimage.2017.12.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 11/30/2017] [Accepted: 12/01/2017] [Indexed: 10/18/2022] Open
Abstract
The nuclei of the basal ganglia pose a special problem for functional MRI, especially at ultra-high field, because T2* variations between different regions result in suboptimal BOLD sensitivity when using gradient-echo echo-planar imaging (EPI). Specifically, the iron-rich lentiform nucleus of the basal ganglia, including the putamen and globus pallidus, suffers from substantial signal loss when imaging is performed using conventional single-echo EPI with echo times optimized for the cortex. Multi-echo EPI acquires several echoes at different echo times for every imaging slice, allowing images to be reconstructed with a weighting of echo times that is optimized individually for each voxel according to the underlying tissue or T2* properties. Here we show that multi-echo simultaneous multi-slice (SMS) EPI can improve functional activation of iron-rich subcortical regions while maintaining sensitivity within cortical areas. Functional imaging during a motor task known to elicit strong activations in the cortex and the subcortex (basal ganglia) was performed to compare the performance of multi-echo SMS EPI to single-echo SMS EPI. Notably within both the caudate nucleus and putamen of the basal ganglia, multi-echo SMS EPI yielded higher tSNR (an average 84% increase) and CNR (an average 58% increase), an approximate 3-fold increase in supra-threshold voxels, and higher t-values (an average 39% increase). The degree of improvement in the group level t-statistics was negatively correlated to the underlying T2* of the voxels, such that the shorter the T2*, as in the iron-rich nuclei of the basal ganglia, the higher the improvement of t-values in the activated region.
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Affiliation(s)
- Alexander M Puckett
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia.
| | - Saskia Bollmann
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Benedikt A Poser
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Jake Palmer
- School of Psychology, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Markus Barth
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Ross Cunnington
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia; School of Psychology, The University of Queensland, Brisbane, QLD, 4072, Australia
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Zhang Y, Larcher KMH, Misic B, Dagher A. Anatomical and functional organization of the human substantia nigra and its connections. eLife 2017; 6:26653. [PMID: 28826495 PMCID: PMC5606848 DOI: 10.7554/elife.26653] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 08/19/2017] [Indexed: 12/11/2022] Open
Abstract
We investigated the anatomical and functional organization of the human substantia nigra (SN) using diffusion and functional MRI data from the Human Connectome Project. We identified a tripartite connectivity-based parcellation of SN with a limbic, cognitive, motor arrangement. The medial SN connects with limbic striatal and cortical regions and encodes value (greater response to monetary wins than losses during fMRI), while the ventral SN connects with associative regions of cortex and striatum and encodes salience (equal response to wins and losses). The lateral SN connects with somatomotor regions of striatum and cortex and also encodes salience. Behavioral measures from delay discounting and flanker tasks supported a role for the value-coding medial SN network in decisional impulsivity, while the salience-coding ventral SN network was associated with motor impulsivity. In sum, there is anatomical and functional heterogeneity of human SN, which underpins value versus salience coding, and impulsive choice versus impulsive action.
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Affiliation(s)
- Yu Zhang
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | | | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, Canada
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47
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Frontosubthalamic Circuits for Control of Action and Cognition. J Neurosci 2017; 36:11489-11495. [PMID: 27911752 DOI: 10.1523/jneurosci.2348-16.2016] [Citation(s) in RCA: 166] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 08/12/2016] [Accepted: 08/14/2016] [Indexed: 12/20/2022] Open
Abstract
The subthalamic nucleus (STN) of the basal ganglia appears to have a potent role in action and cognition. Anatomical and imaging studies show that different frontal cortical areas directly project to the STN via so-called hyperdirect pathways. This review reports some of the latest findings about such circuits, including simultaneous recordings from cortex and the STN in humans, single-unit recordings in humans, high-resolution fMRI, and neurocomputational modeling. We argue that a major function of the STN is to broadly pause behavior and cognition when stop signals, conflict signals, or surprise signals occur, and that the fronto-STN circuits for doing this, at least for stopping and conflict, are dissociable anatomically and in terms of their spectral reactivity. We also highlight recent evidence for synchronization of oscillations between prefrontal cortex and the STN, which may provide a preferential "window in time" for single neuron communication via long-range connections.
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Tona KD, Keuken MC, de Rover M, Lakke E, Forstmann BU, Nieuwenhuis S, van Osch MJP. In vivo visualization of the locus coeruleus in humans: quantifying the test-retest reliability. Brain Struct Funct 2017. [PMID: 28647901 PMCID: PMC5686260 DOI: 10.1007/s00429-017-1464-5] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The locus coeruleus (LC) is a brainstem nucleus involved in important cognitive functions. Recent developments in neuroimaging methods and scanning protocols have made it possible to visualize the human LC in vivo by utilizing a T1-weighted turbo spin echo (TSE) scan. Despite its frequent use and its application as a biomarker for tracking the progress of monoaminergic-related neurodegenerative diseases, no study to date has investigated the reproducibility and inter-observer variability of LC identification using this TSE scan sequence. In this paper, we aim to quantify the test-retest reliability of LC imaging by assessing stability of the TSE contrast of the LC across two independent scan sessions and by quantifying the intra- and inter-rater reliability of the TSE scan. Additionally, we created a probabilistic LC atlas which can facilitate the spatial localization of the LC in standardized (MNI) space. Seventeen healthy volunteers participated in two scanning sessions with a mean intersession interval of 2.8 months. We found that for intra-rater reliability the mean Dice coefficient ranged between 0.65 and 0.74, and inter-rater reliability ranged between 0.54 and 0.64, showing moderate reproducibility. The mean LC contrast was 13.9% (SD 3.8) and showed scan-rescan stability (ROI approach: ICC = 0.63; maximum intensity approach: ICC = 0.53). We conclude that localization and segmentation of the LC in vivo are a challenging but reliable enterprise although clinical or longitudinal studies should be carried out carefully.
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Affiliation(s)
- Klodiana-Daphne Tona
- Cognitive Psychology Unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, FSW, Wassenaarseweg 52, 2333 AK, Leiden, The Netherlands.
| | - Max C Keuken
- Cognitive Psychology Unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, FSW, Wassenaarseweg 52, 2333 AK, Leiden, The Netherlands
- Integrative model-based Cognitive neuroscience research unit, University of Amsterdam, Amsterdam, The Netherlands
| | - Mischa de Rover
- Clinical Psychology Unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
- Department of Anesthesiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Egbert Lakke
- Department of Anatomy and Embryology, Leiden University Medical Center, Leiden University, Leiden, The Netherlands
| | - Birte U Forstmann
- Cognitive Psychology Unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, FSW, Wassenaarseweg 52, 2333 AK, Leiden, The Netherlands
- Integrative model-based Cognitive neuroscience research unit, University of Amsterdam, Amsterdam, The Netherlands
- Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Sander Nieuwenhuis
- Cognitive Psychology Unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, FSW, Wassenaarseweg 52, 2333 AK, Leiden, The Netherlands
| | - Matthias J P van Osch
- Department of Radiology, Leiden University Medical Center, Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
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Schweser F, Robinson S, de Rochefort L, Li W, Bredies K. An illustrated comparison of processing methods for phase MRI and QSM: removal of background field contributions from sources outside the region of interest. NMR IN BIOMEDICINE 2017; 30:10.1002/nbm.3604. [PMID: 27717080 PMCID: PMC5587182 DOI: 10.1002/nbm.3604] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 06/10/2016] [Accepted: 07/18/2016] [Indexed: 05/08/2023]
Abstract
The elimination of so-called background fields is an essential step in phase MRI and quantitative susceptibility mapping (QSM). Background fields, which are caused by sources outside the region of interest (ROI), are often one to two orders of magnitude stronger than tissue-related field variations from within the ROI, hampering quantitative interpretation of field maps. This paper reviews the current literature on background elimination algorithms for QSM and provides insights into similarities and differences between the many algorithms proposed. We discuss the basic theoretical foundations and derive fundamental limitations of background field elimination. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Ferdinand Schweser
- Department of Neurology, Buffalo Neuroimaging Analysis Center, University at Buffalo, The State University of New York – Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA. University at Buffalo, The State University of New York – MRI Molecular and Translational Imaging Center, Buffalo, NY, USA
| | - Simon Robinson
- Medical University of Vienna – Department of Biomedical Imaging and Image-Guided Therapy, Vienna, Austria
| | - Ludovic de Rochefort
- Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, CNRS, Aix-Marseille Université, France
| | - Wei Li
- University Texas Health Science Center at San Antonio Research Imaging Institute, San Antonio, TX, USA
| | - Kristian Bredies
- University of Graz – Institute for Mathematics and Scientific Computing, Graz, Austria
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50
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Lehericy S, Vaillancourt DE, Seppi K, Monchi O, Rektorova I, Antonini A, McKeown MJ, Masellis M, Berg D, Rowe JB, Lewis SJG, Williams-Gray CH, Tessitore A, Siebner HR. The role of high-field magnetic resonance imaging in parkinsonian disorders: Pushing the boundaries forward. Mov Disord 2017; 32:510-525. [PMID: 28370449 DOI: 10.1002/mds.26968] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 12/22/2016] [Accepted: 01/15/2017] [Indexed: 12/28/2022] Open
Abstract
Historically, magnetic resonance imaging (MRI) has contributed little to the study of Parkinson's disease (PD), but modern MRI approaches have unveiled several complementary markers that are useful for research and clinical applications. Iron- and neuromelanin-sensitive MRI detect qualitative changes in the substantia nigra. Quantitative MRI markers can be derived from diffusion weighted and iron-sensitive imaging or volumetry. Functional brain alterations at rest or during task performance have been captured with functional and arterial spin labeling perfusion MRI. These markers are useful for the diagnosis of PD and atypical parkinsonism, to track disease progression from the premotor stages of these diseases and to better understand the neurobiological basis of clinical deficits. A current research goal using MRI is to generate time-dependent models of the evolution of PD biomarkers that can help understand neurodegeneration and provide reliable markers for therapeutic trials. This article reviews recent advances in MRI biomarker research at high-field (3T) and ultra high field-imaging (7T) in PD and atypical parkinsonism. © 2017 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Stéphane Lehericy
- Institut du Cerveau et de la Moelle épinière - ICM, Centre de NeuroImagerie de Recherche - CENIR, Sorbonne Universités, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - David E Vaillancourt
- Department of Applied Physiology and Kinesiology, Department of Neurology and Centre for Movement Disorders and Neurorestoration, Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA
| | - Klaus Seppi
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria and Neuroimaging Research Core Facility, Medical University Innsbruck, Innsbruck, Austria
| | - Oury Monchi
- Department of Clinical Neurosciences, Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Irena Rektorova
- First Department of Neurology, School of Medicine, St. Anne's University Hospital, Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Angelo Antonini
- Parkinson and Movement Disorders Unit, istituto di ricovero e cura a carattere scientifico (IRCCS) Hospital San Camillo, Venice and Department of Neurosciences (DNS), Padova University, Padova, Italy
| | - Martin J McKeown
- Pacific Parkinson's Research Center, Department of Medicine (Neurology), University of British Columbia Vancouver, BC, Canada
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Daniela Berg
- Department of Neurology, Christian-Albrechts-University of Kiel and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
| | - James B Rowe
- Department of Clinical Neurosciences, Cambridge University, and Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK
| | - Simon J G Lewis
- Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Caroline H Williams-Gray
- John Van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Alessandro Tessitore
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Department of Neurology, Copenhagen University Hospital Bispebjerg, Hvidovre, Denmark
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