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Ozgen MN, Sahin NE, Ertan N, Sahin B. Investigation of total cerebellar and flocculonodular lobe volume in Parkinson's disease and healthy individuals: a brain segmentation study. Neurol Sci 2024; 45:4291-4298. [PMID: 38622454 PMCID: PMC11306710 DOI: 10.1007/s10072-024-07509-5] [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: 02/23/2024] [Accepted: 03/30/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND Parkinson's disease (PD) is a neurodegenerative disorder with an unexplored link to the cerebellum. In the pathophysiology of balance disorders in PD, the role of the flocculonodular lobe (FL) is linked to the impairment of the dopaminergic system. Dopamine deficiency can also lead to changes in cerebellum functions, disrupting balance control. This study compares cerebellar and FL volumes between healthy controls (HC) and PD patients, analyzing their correlation with clinical outcomes. METHODS We used magnetic resonance images of 23 PD patients (14 male, 9 female) and 24 HC (9 male, 15 female). Intracranial (ICV), total cerebellar, FL, and cerebellar gray matter volumes were measured using VolBrain. Clinical outcomes in PD patients were assessed using the Unified Parkinson's Disease Rating Scale (UPDRS-III) to evaluate motor function, with scores correlated to volumetric data. RESULTS The cerebellar and gray matter volumes in HC were 115.53 ± 10.44 cm3 and 84.83 ± 7.76 cm3, respectively, compared to 126.83 ± 13.47 cm3 and 92.37 ± 9.45 cm3 in PD patients, indicating significantly larger volumes in PD patients (p < 0.05). The flocculonodular lobe gray matter volume was 1.14 ± 0.19 cm3 in PD patients and 1.02 ± 0.13 cm3 in HC, but there was a significant increase in gray matter volume in PD patients between the groups (p < 0.05). In PD patients, significant negative correlations were observed between FL volume and the UPDRS-III scores (r = - 0.467, p = 0.033) and between UPDRS-III scores and both total (r = - 0.453, p = 0.039) and normalized (r = - 0.468, p = 0.032) gray matter volumes of the FL. CONCLUSION Although total gray matter volumes were larger in PD patients, the volumes of FL did not differ between groups. In Parkinson's disease, increased cerebellar volume may regulate fine motor movements rather than balance.
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Affiliation(s)
- Merve Nur Ozgen
- Department of Anatomy, Faculty of Medicine, Tokat Gaziosmanpaşa University, Tokat, Türkiye
| | - Necati Emre Sahin
- Department of Anatomy, Faculty of Medicine, Karabük University, Karabük, Türkiye
| | - Nurcan Ertan
- Radiology Clinic, Ankara Etlik City Hospital, Ankara, Türkiye
| | - Bunyamin Sahin
- Department of Anatomy, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Türkiye.
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Bègue I, Elandaloussi Y, Delavari F, Cao H, Moussa-Tooks A, Roser M, Coupé P, Leboyer M, Kaiser S, Houenou J, Brady R, Laidi C. The Cerebellum and Cognitive Function: Anatomical Evidence from a Transdiagnostic Sample. CEREBELLUM (LONDON, ENGLAND) 2024; 23:1399-1410. [PMID: 38151675 PMCID: PMC11269336 DOI: 10.1007/s12311-023-01645-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/30/2023] [Indexed: 12/29/2023]
Abstract
Multiple lines of evidence across human functional, lesion, and animal data point to a cerebellar role, in particular of crus I, crus II, and lobule VIIB, in cognitive function. However, a mapping of distinct facets of cognitive function to cerebellar structure is missing. We analyzed structural neuroimaging data from the Healthy Brain Network (HBN). Cerebellar parcellation was performed with a validated automated segmentation pipeline (CERES) and stringent visual quality check (n = 662 subjects retained from initial n = 1452). Canonical correlation analyses (CCA) examined regional gray matter volumetric (GMV) differences in association to cognitive function (quantified with NIH Toolbox Cognition domain, NIH-TB), accounting for psychopathology severity, age, sex, scan location, and intracranial volume. Multivariate CCA uncovered a significant correlation between two components entailing a latent cognitive canonical (NIH-TB subscales) and a brain canonical variate (cerebellar GMV and intracranial volume, ICV), surviving bootstrapping and permutation procedures. The components correspond to partly shared cerebellar-cognitive function relationship with a first map encompassing cognitive flexibility (r = 0.89), speed of processing (r = 0.65), and working memory (r = 0.52) associated with regional GMV in crus II (r = 0.57) and lobule X (r = 0.59) and a second map including the crus I (r = 0.49) and lobule VI (r = 0.49) associated with working memory (r = 0.51). We show evidence for a structural subspecialization of the cerebellum topography for cognitive function in a transdiagnostic sample.
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Affiliation(s)
- Indrit Bègue
- Department of Psychiatry, Beth Israel Deaconess Medical School & Harvard Medical School, Boston, MA, USA.
- Department of Psychiatry, McLean Hospital & Harvard Medical School, Boston, MA, USA.
- Department of Psychiatry, University Hospitals of Geneva & University of Geneva, Geneva, Switzerland.
| | - Yannis Elandaloussi
- INSERM U955, Institut Mondor de La Recherche Biomédicale (IRMB), Univ. Paris Est Créteil, Equipe 15 Neuropsychiatrie Translationnelle, Créteil, France
- La Fondation Fondamental, Créteil, France
- NeuroSpin, Neuroimaging Platform, CEA, UNIACT Lab, PsyBrain Team, Saclay, France
| | - Farnaz Delavari
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland
| | - Hengyi Cao
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, Zucker Hillside Hospital, Queens, NY, USA
| | - Alexandra Moussa-Tooks
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mathilde Roser
- INSERM U955, Institut Mondor de La Recherche Biomédicale (IRMB), Univ. Paris Est Créteil, Equipe 15 Neuropsychiatrie Translationnelle, Créteil, France
- La Fondation Fondamental, Créteil, France
- NeuroSpin, Neuroimaging Platform, CEA, UNIACT Lab, PsyBrain Team, Saclay, France
| | - Pierrick Coupé
- LABRI UMR 5800, CNRS, Univ. Bordeaux, Bordeaux INPTalence, France
| | - Marion Leboyer
- INSERM U955, Institut Mondor de La Recherche Biomédicale (IRMB), Univ. Paris Est Créteil, Equipe 15 Neuropsychiatrie Translationnelle, Créteil, France
- La Fondation Fondamental, Créteil, France
| | - Stefan Kaiser
- Department of Psychiatry, University Hospitals of Geneva & University of Geneva, Geneva, Switzerland
| | - Josselin Houenou
- INSERM U955, Institut Mondor de La Recherche Biomédicale (IRMB), Univ. Paris Est Créteil, Equipe 15 Neuropsychiatrie Translationnelle, Créteil, France
- La Fondation Fondamental, Créteil, France
- NeuroSpin, Neuroimaging Platform, CEA, UNIACT Lab, PsyBrain Team, Saclay, France
| | - Roscoe Brady
- Department of Psychiatry, Beth Israel Deaconess Medical School & Harvard Medical School, Boston, MA, USA
| | - Charles Laidi
- INSERM U955, Institut Mondor de La Recherche Biomédicale (IRMB), Univ. Paris Est Créteil, Equipe 15 Neuropsychiatrie Translationnelle, Créteil, France.
- La Fondation Fondamental, Créteil, France.
- NeuroSpin, Neuroimaging Platform, CEA, UNIACT Lab, PsyBrain Team, Saclay, France.
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Yin L, Zhu Z, Fu J, Zhou C, Liu Z, Li Y, Luo Z, Zhu Y, Xu Z, Yang X. Differences in gray matter atrophy and functional connectivity between motor subtypes of Parkinson's disease. Acta Neurol Belg 2024:10.1007/s13760-024-02610-0. [PMID: 39066885 DOI: 10.1007/s13760-024-02610-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 07/13/2024] [Indexed: 07/30/2024]
Abstract
Parkinson's disease (PD) patients with postural gait abnormalities exhibit poorer motor function scores, more severe non-motor symptoms, faster cognitive function deterioration, and a less favorable response to drugs and surgery compared to PD patients with tremor. This discrepancy is believed to be associated with more pronounced gray matter atrophy and abnormal functional connectivity. To investigate the distinctive pathological mechanisms between PD subtypes, we examined gray matter volume (GMV) and functional connectivity in patients with Parkinson's disease presenting with postural instability/gait difficulty (PD-PIGD), patients with tremor-dominant Parkinson's disease (PD-TD), and healthy controls. Voxel-based morphometry (VBM) of T1-weighted images was conducted to compare GMV among 64 PD-PIGD patients, 44 PD-TD patients, and 32 controls. Subsequently, functional connectivity within regions showing reduced GMV was compared across the groups. We analyzed whether differences among the groups were associated with clinical characteristics and neuroimaging biomarkers using partial correlation and binary logistic regression. Our comparison between PD-PIGD and PD-TD patients revealed a link between PD-PIGD and more extensive frontotemporal atrophy, potentially indicating increased basal ganglia activity accompanied by decreased cerebellum activity. Furthermore, in addition to the smaller GMV in the left middle temporal gyrus, the increased functional connectivity between this brain region and the right caudate was also the independent risk factor for PD-PIGD. In addition, we compared brain network connectivity between the PIGD and TD subtypes, using an independent component analysis (ICA). We found that Compared to PD-TD, PD-PIGD patients showed an enhanced sensorimotor network (SMN) around the left supplementary motor area. These findings suggest that severe gray matter atrophy and abnormal functional connectivity and brain networks may serve as pathophysiological mechanisms distinguishing PD-PIGD patients from other subtypes.
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Affiliation(s)
- Lei Yin
- The First People's Hospital of Honghe Prefecture, Honghe, 661100, China
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Zhigang Zhu
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Jialong Fu
- The First People's Hospital of Honghe Prefecture, Honghe, 661100, China
| | - Chuanbin Zhou
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Zhaochao Liu
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Yuxia Li
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Zhenglong Luo
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Yongyun Zhu
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Zhong Xu
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
| | - Xinglong Yang
- The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China.
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Rezende TJR, Petit E, Park YW, Tezenas du Montcel S, Joers JM, DuBois JM, Moore Arnold H, Povazan M, Banan G, Valabregue R, Ehses P, Faber J, Coupé P, Onyike CU, Barker PB, Schmahmann JD, Ratai EM, Subramony SH, Mareci TH, Bushara KO, Paulson H, Klockgether T, Durr A, Ashizawa T, Lenglet C, Öz G. Sensitivity of Advanced Magnetic Resonance Imaging to Progression over Six Months in Early Spinocerebellar Ataxia. Mov Disord 2024. [PMID: 39056163 DOI: 10.1002/mds.29934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/11/2024] [Accepted: 07/02/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Clinical trials for upcoming disease-modifying therapies of spinocerebellar ataxias (SCA), a group of rare movement disorders, lack endpoints sensitive to early disease progression, when therapeutics will be most effective. In addition, regulatory agencies emphasize the importance of biological outcomes. OBJECTIVES READISCA, a transatlantic clinical trial readiness consortium, investigated whether advanced multimodal magnetic resonance imaging (MRI) detects pathology progression over 6 months in preataxic and early ataxic carriers of SCA mutations. METHODS A total of 44 participants (10 SCA1, 25 SCA3, and 9 controls) prospectively underwent 3-T MR scanning at baseline and a median [interquartile range] follow-up of 6.2 [5.9-6.7] months; 44% of SCA participants were preataxic. Blinded analyses of annual changes in structural, diffusion MRI, MR spectroscopy, and the Scale for Assessment and Rating of Ataxia (SARA) were compared between groups using nonparametric testing. Sample sizes were estimated for 6-month interventional trials with 50% to 100% treatment effect size, leveraging existing large cohort data (186 SCA1, 272 SCA3) for the SARA estimate. RESULTS Rate of change in microstructural integrity (decrease in fractional anisotropy, increase in diffusivities) in the middle cerebellar peduncle, corona radiata, and superior longitudinal fasciculus significantly differed in SCAs from controls (P < 0.005), with high effect sizes (Cohen's d = 1-2) and moderate-to-high responsiveness (|standardized response mean| = 0.6-0.9) in SCAs. SARA scores did not change, and their rate of change did not differ between groups. CONCLUSIONS Diffusion MRI is sensitive to disease progression at very early-stage SCA1 and SCA3 and may provide a >5-fold reduction in sample sizes relative to SARA as endpoint for 6-month-long trials. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Thiago J R Rezende
- Department of Neurology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - Emilien Petit
- Sorbonne Université, Paris Brain Institute, Inserm, INRIA, CNRS, APHP, Paris, France
| | - Young Woo Park
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | | | - James M Joers
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | | | | | - Michal Povazan
- Department of Radiology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Guita Banan
- Norman Fixel Center for Neurological Disorders, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Romain Valabregue
- Sorbonne Université, Paris Brain Institute, Inserm, INRIA, CNRS, APHP, Paris, France
| | - Philipp Ehses
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Pierrick Coupé
- Laboratoire Bordelais de Recherche en Informatique, Université de Bordeaux, Talence, France
| | - Chiadi U Onyike
- Department of Radiology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Peter B Barker
- Department of Radiology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Jeremy D Schmahmann
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eva-Maria Ratai
- A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Sub H Subramony
- Norman Fixel Center for Neurological Disorders, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Thomas H Mareci
- Norman Fixel Center for Neurological Disorders, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Khalaf O Bushara
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Henry Paulson
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Alexandra Durr
- Sorbonne Université, Paris Brain Institute, Inserm, INRIA, CNRS, APHP, Paris, France
| | - Tetsuo Ashizawa
- Department of Neurology, The Houston Methodist Research Institute, Houston, Texas, USA
| | - Christophe Lenglet
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
| | - Gülin Öz
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA
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5
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Bang M, Park K, Choi SH, Ahn SS, Kim J, Lee SK, Park YW, Lee SH. Identification of schizophrenia by applying interpretable radiomics modeling with structural magnetic resonance imaging of the cerebellum. Psychiatry Clin Neurosci 2024. [PMID: 38953397 DOI: 10.1111/pcn.13707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 05/26/2024] [Accepted: 06/12/2024] [Indexed: 07/04/2024]
Abstract
AIMS The cerebellum is involved in higher-order mental processing as well as sensorimotor functions. Although structural abnormalities in the cerebellum have been demonstrated in schizophrenia, neuroimaging techniques are not yet applicable to identify them given the lack of biomarkers. We aimed to develop a robust diagnostic model for schizophrenia using radiomic features from T1-weighted magnetic resonance imaging (T1-MRI) of the cerebellum. METHODS A total of 336 participants (174 schizophrenia; 162 healthy controls [HCs]) were allocated to training (122 schizophrenia; 115 HCs) and test (52 schizophrenia; 47 HCs) cohorts. We obtained 2568 radiomic features from T1-MRI of the cerebellar subregions. After feature selection, a light gradient boosting machine classifier was trained. The discrimination and calibration of the model were evaluated. SHapley Additive exPlanations (SHAP) was applied to determine model interpretability. RESULTS We identified 17 radiomic features to differentiate participants with schizophrenia from HCs. In the test cohort, the radiomics model had an area under the curve, accuracy, sensitivity, and specificity of 0.89 (95% confidence interval: 0.82-0.95), 78.8%, 88.5%, and 75.4%, respectively. The model explanation by SHAP suggested that the second-order size zone non-uniformity feature from the right lobule IX and first-order energy feature from the right lobules V and VI were highly associated with the risk of schizophrenia. CONCLUSION The radiomics model focused on the cerebellum demonstrates robustness in diagnosing schizophrenia. Our results suggest that microcircuit disruption in the posterior cerebellum is a disease-defining feature of schizophrenia, and radiomics modeling has potential for supporting biomarker-based decision-making in clinical practice.
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Affiliation(s)
- Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Kisung Park
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea
| | - Seoung-Ho Choi
- National Program Excellence in Software at Kwangwoon University, Seoul, Republic of Korea
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jinna Kim
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
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Strike LT, Kerestes R, McMahon KL, de Zubicaray GI, Harding IH, Medland SE. Heritability of cerebellar subregion volumes in adolescent and young adult twins. Hum Brain Mapp 2024; 45:e26717. [PMID: 38798116 PMCID: PMC11128777 DOI: 10.1002/hbm.26717] [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: 01/02/2024] [Revised: 04/23/2024] [Accepted: 05/06/2024] [Indexed: 05/29/2024] Open
Abstract
Twin studies have found gross cerebellar volume to be highly heritable. However, whether fine-grained regional volumes within the cerebellum are similarly heritable is still being determined. Anatomical MRI scans from two independent datasets (QTIM: Queensland Twin IMaging, N = 798, mean age 22.1 years; QTAB: Queensland Twin Adolescent Brain, N = 396, mean age 11.3 years) were combined with an optimised and automated cerebellum parcellation algorithm to segment and measure 28 cerebellar regions. We show that the heritability of regional volumetric measures varies widely across the cerebellum (h 2 $$ {h}^2 $$ 47%-91%). Additionally, the good to excellent test-retest reliability for a subsample of QTIM participants suggests that non-genetic variance in cerebellar volumes is due primarily to unique environmental influences rather than measurement error. We also show a consistent pattern of strong associations between the volumes of homologous left and right hemisphere regions. Associations were predominantly driven by genetic effects shared between lobules, with only sparse contributions from environmental effects. These findings are consistent with similar studies of the cerebrum and provide a first approximation of the upper bound of heritability detectable by genome-wide association studies.
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Affiliation(s)
- Lachlan T. Strike
- Psychiatric Genetics, QIMR Berghofer Medical Research InstituteBrisbaneAustralia
- School of Psychology and Counselling, Faculty of HealthQueensland University of TechnologyKelvin GroveQueenslandAustralia
- School of Biomedical Sciences, Faculty of MedicineUniversity of QueenslandBrisbaneAustralia
| | - Rebecca Kerestes
- Department of Neuroscience, Central Clinical SchoolMonash UniversityMelbourneAustralia
| | - Katie L. McMahon
- School of Clinical Sciences, Centre for Biomedical TechnologiesQueensland University of TechnologyBrisbaneQueenslandAustralia
| | - Greig I. de Zubicaray
- School of Psychology and Counselling, Faculty of HealthQueensland University of TechnologyKelvin GroveQueenslandAustralia
| | - Ian H. Harding
- Department of Neuroscience, Central Clinical SchoolMonash UniversityMelbourneAustralia
- Cerebellum and Neurodegeneration, QIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Sarah E. Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research InstituteBrisbaneAustralia
- School of Psychology and Counselling, Faculty of HealthQueensland University of TechnologyKelvin GroveQueenslandAustralia
- School of PsychologyUniversity of QueenslandBrisbaneAustralia
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Klaus J, Stoodley CJ, Schutter DJLG. Neurodevelopmental trajectories of cerebellar grey matter associated with verbal abilities in males with autism spectrum disorder. Dev Cogn Neurosci 2024; 67:101379. [PMID: 38615557 PMCID: PMC11026694 DOI: 10.1016/j.dcn.2024.101379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/14/2024] [Accepted: 04/08/2024] [Indexed: 04/16/2024] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition frequently associated with structural cerebellar abnormalities. Whether cerebellar grey matter volumes (GMV) are linked to verbal impairments remains controversial. Here, the association between cerebellar GMV and verbal abilities in ASD was examined across the lifespan. Lobular segmentation of the cerebellum was performed on structural MRI scans from the ABIDE I dataset in male individuals with ASD (N=144, age: 8.5-64.0 years) and neurotypical controls (N=188; age: 8.0-56.2 years). Stepwise linear mixed effects modeling including group (ASD vs. neurotypical controls), lobule-wise GMV, and age was performed to identify cerebellar lobules which best predicted verbal abilities as measured by verbal IQ (VIQ). An age-specific association between VIQ and GMV of bilateral Crus II was found in ASD relative to neurotypical controls. In children with ASD, higher VIQ was associated with larger GMV of left Crus II but smaller GMV of right Crus II. By contrast, in adults with ASD, higher VIQ was associated with smaller GMV of left Crus II and larger GMV of right Crus II. These findings indicate that relative to the contralateral hemisphere, an initial reliance on the language-nonspecific left cerebellar hemisphere is offset by more typical right-lateralization in adulthood.
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Affiliation(s)
- Jana Klaus
- Department of Experimental Psychology, Utrecht University, the Netherlands; Helmholtz Institute, Utrecht, the Netherlands.
| | | | - Dennis J L G Schutter
- Department of Experimental Psychology, Utrecht University, the Netherlands; Helmholtz Institute, Utrecht, the Netherlands
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Sato SD, Shah VA, Fettrow T, Hall KG, Tays GD, Cenko E, Roy A, Clark DJ, Ferris DP, Hass CJ, Manini TM, Seidler RD. Resting state brain network segregation is associated with walking speed and working memory in older adults. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.07.592861. [PMID: 38766046 PMCID: PMC11100712 DOI: 10.1101/2024.05.07.592861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Older adults exhibit larger individual differences in walking ability and cognitive function than young adults. Characterizing intrinsic brain connectivity differences in older adults across a wide walking performance spectrum may provide insight into the mechanisms of functional decline in some older adults and resilience in others. Thus, the objectives of this study were to: (1) determine whether young adults and high- and low-functioning older adults show group differences in brain network segregation, and (2) determine whether network segregation is associated with working memory and walking function in these groups. The analysis included 21 young adults and 81 older adults. Older adults were further categorized according to their physical function using a standardized assessment; 54 older adults had low physical function while 27 were considered high functioning. Structural and functional resting state magnetic resonance images were collected using a Siemens Prisma 3T scanner. Working memory was assessed with the NIH Toolbox list sorting test. Walking speed was assessed with a 400 m-walk test at participants' self-selected speed. We found that network segregation in mobility-related networks (sensorimotor, vestibular, and visual networks) was higher in younger adults compared to older adults. There were no group differences in laterality effects on network segregation. We found multivariate associations between working memory and walking speed with network segregation scores. Higher right anterior cingulate cortex network segregation was associated with higher working memory function. Higher right sensorimotor, right vestibular, right anterior cingulate cortex, and lower left anterior cingulate cortex network segregation was associated with faster walking speed. These results are unique and significant because they demonstrate higher network segregation is largely related to higher physical function and not age alone.
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Affiliation(s)
- Sumire D Sato
- Department of Applied Kinesiology and Physiology, University of Florida, Gainesville, FL, USA
| | - Valay A Shah
- Department of Applied Kinesiology and Physiology, University of Florida, Gainesville, FL, USA
| | - Tyler Fettrow
- Department of Applied Kinesiology and Physiology, University of Florida, Gainesville, FL, USA
- NASA Langley Research Center, Hampton, VA, USA
| | - Kristina G Hall
- Department of Applied Kinesiology and Physiology, University of Florida, Gainesville, FL, USA
| | - Grant D Tays
- Department of Applied Kinesiology and Physiology, University of Florida, Gainesville, FL, USA
| | - Erta Cenko
- Department of Epidemiology, College of Public Health and Health Professions, and College of Medicine, University of Florida, Gainesville, FL, USA
| | - Arkaprava Roy
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - David J Clark
- Department of Neurology, University of Florida, Gainesville, FL, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL, USA
| | - Daniel P Ferris
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Chris J Hass
- Department of Applied Kinesiology and Physiology, University of Florida, Gainesville, FL, USA
| | - Todd M Manini
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Rachael D Seidler
- Department of Applied Kinesiology and Physiology, University of Florida, Gainesville, FL, USA
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Wang Y, Teng Y, Liu T, Tang Y, Liang W, Wang W, Li Z, Xia Q, Xu F, Liu S. Morphological changes in the cerebellum during aging: evidence from convolutional neural networks and shape analysis. Front Aging Neurosci 2024; 16:1359320. [PMID: 38694258 PMCID: PMC11061448 DOI: 10.3389/fnagi.2024.1359320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/06/2024] [Indexed: 05/04/2024] Open
Abstract
The morphology and function of the cerebellum are associated with various developmental disorders and healthy aging. Changes in cerebellar morphology during the aging process have been extensively investigated, with most studies focusing on changes in cerebellar regional volume. The volumetric method has been used to quantitatively demonstrate the decrease in the cerebellar volume with age, but it has certain limitations in visually presenting the morphological changes of cerebellar atrophy from a three-dimensional perspective. Thus, we comprehensively described cerebellar morphological changes during aging through volume measurements of subregions and shape analysis. This study included 553 healthy participants aged 20-80 years. A novel cerebellar localized segmentation algorithm based on convolutional neural networks was utilized to analyze the volume of subregions, followed by shape analysis for localized atrophy assessment based on the cerebellar thickness. The results indicated that out of the 28 subregions in the absolute volume of the cerebellum, 15 exhibited significant aging trends, and 16 exhibited significant sex differences. Regarding the analysis of relative volume, only 11 out of the 28 subregions of the cerebellum exhibited significant aging trends, and 4 exhibited significant sex differences. The results of the shape analysis revealed region-specific atrophy of the cerebellum with increasing age. Regions displaying more significant atrophy were predominantly located in the vermis, the lateral portions of bilateral cerebellar hemispheres, lobules I-III, and the medial portions of the posterior lobe. This atrophy differed between sexes. Men exhibited slightly more severe atrophy than women in most of the cerebellar regions. Our study provides a comprehensive perspective for observing cerebellar atrophy during the aging process.
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Affiliation(s)
- Yu Wang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Ye Teng
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Tianci Liu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Yuchun Tang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Wenjia Liang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Wenjun Wang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Zhuoran Li
- Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Qing Xia
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Feifei Xu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Shuwei Liu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
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10
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Sadeghi F, Pötter-Nerger M, Grimm K, Gerloff C, Schulz R, Zittel S. Smaller Cerebellar Lobule VIIb is Associated with Tremor Severity in Parkinson's Disease. CEREBELLUM (LONDON, ENGLAND) 2024; 23:355-362. [PMID: 36802020 PMCID: PMC10950956 DOI: 10.1007/s12311-023-01532-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/09/2023] [Indexed: 02/23/2023]
Abstract
Alterations in the cerebellum's morphology in Parkinson's disease (PD) point to its pathophysiological involvement in this movement disorder. Such abnormalities have previously been attributed to different PD motor subtypes. The aim of the study was to relate volumes of specific cerebellar lobules to motor symptom severity, in particular tremor (TR), bradykinesia/rigidity (BR), and postural instability and gait disorders (PIGD) in PD. We performed a volumetric analysis based on T1-weighted MRI images of 55 participants with PD (22 females, median age 65 years, Hoehn and Yahr stage 2). Multiple regression models were fitted to investigate associations between volumes of cerebellar lobules with clinical symptom severity based on MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III score and sub-scores for TR, BR, and PIGD; adjusted for age, sex, disease duration, and intercranial volume as cofactors. Smaller volume of lobule VIIb was associated with higher tremor severity (P = 0.004). No structure-function relationships were detected for other lobules or other motor symptoms. This distinct structural association denotes the involvement of the cerebellum in PD tremor. Characterizing morphological features of the cerebellum leads to a better understanding of its role in the spectrum of motor symptoms in PD and contributes further to identifying potential biological markers.
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Affiliation(s)
- Fatemeh Sadeghi
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Monika Pötter-Nerger
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Kai Grimm
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Christian Gerloff
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Robert Schulz
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Simone Zittel
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany.
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11
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Tays GD, Hupfeld KE, McGregor HR, Beltran NE, De Dios YE, Mulder E, Bloomberg JJ, Mulavara AP, Wood SJ, Seidler RD. Daily artificial gravity partially mitigates vestibular processing changes associated with head-down tilt bedrest. NPJ Microgravity 2024; 10:27. [PMID: 38472244 PMCID: PMC10933323 DOI: 10.1038/s41526-024-00367-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 02/15/2024] [Indexed: 03/14/2024] Open
Abstract
Microgravity alters vestibular signaling and reduces body loading, driving sensory reweighting. The unloading effects can be modelled using head-down tilt bedrest (HDT). Artificial gravity (AG) has been hypothesized to serve as an integrated countermeasure for the declines associated with HDT and spaceflight. Here, we examined the efficacy of 30 min of daily AG to counteract brain and behavior changes from 60 days of HDT. Two groups received 30 min of AG delivered via short-arm centrifuge daily (n = 8 per condition), either in one continuous bout, or in 6 bouts of 5 min. To improve statistical power, we combined these groups (AG; n = 16). Another group served as controls in HDT with no AG (CTRL; n = 8). We examined how HDT and AG affect vestibular processing by collecting fMRI scans during vestibular stimulation. We collected these data prior to, during, and post-HDT. We assessed brain activation initially in 12 regions of interest (ROIs) and then conducted an exploratory whole brain analysis. The AG group showed no changes in activation during vestibular stimulation in a cerebellar ROI, whereas the CTRL group showed decreased activation specific to HDT. Those that received AG and showed little pre- to post-HDT changes in left vestibular cortex activation had better post-HDT balance performance. Whole brain analyses identified increased pre- to during-HDT activation in CTRLs in the right precentral gyrus and right inferior frontal gyrus, whereas AG maintained pre-HDT activation levels. These results indicate that AG could mitigate activation changes in vestibular processing that is associated with better balance performance.
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Affiliation(s)
- G D Tays
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - K E Hupfeld
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - H R McGregor
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | | | | | - E Mulder
- German Aerospace Center (DLR), Cologne, Germany
| | | | | | - S J Wood
- NASA Johnson Space Center, Houston, TX, USA
| | - R D Seidler
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA.
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
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12
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Lyu W, Wu Y, Huynh KM, Ahmad S, Yap PT. A multimodal submillimeter MRI atlas of the human cerebellum. Sci Rep 2024; 14:5622. [PMID: 38453991 PMCID: PMC10920891 DOI: 10.1038/s41598-024-55412-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/23/2024] [Indexed: 03/09/2024] Open
Abstract
The human cerebellum is engaged in a broad array of tasks related to motor coordination, cognition, language, attention, memory, and emotional regulation. A detailed cerebellar atlas can facilitate the investigation of the structural and functional organization of the cerebellum. However, existing cerebellar atlases are typically limited to a single imaging modality with insufficient characterization of tissue properties. Here, we introduce a multifaceted cerebellar atlas based on high-resolution multimodal MRI, facilitating the understanding of the neurodevelopment and neurodegeneration of the cerebellum based on cortical morphology, tissue microstructure, and intra-cerebellar and cerebello-cerebral connectivity.
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Affiliation(s)
- Wenjiao Lyu
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Ye Wu
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Khoi Minh Huynh
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Sahar Ahmad
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Pew-Thian Yap
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA.
- Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA.
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13
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Romero-Molina AO, Ramirez-Garcia G, Chirino-Perez A, Fuentes-Zavaleta DA, Hernandez-Castillo CR, Marrufo-Melendez O, Lopez-Gonzalez D, Rodriguez-Rodriguez M, Castorena-Maldonado A, Rodriguez-Agudelo Y, Paz-Rodriguez F, Chavez-Oliveros M, Lozano-Tovar S, Gutierrez-Romero A, Arauz-Gongora A, Garcia-Santos RA, Fernandez-Ruiz J. SARS-CoV-2's brain impact: revealing cortical and cerebellar differences via cluster analysis in COVID-19 recovered patients. Neurol Sci 2024; 45:837-848. [PMID: 38172414 DOI: 10.1007/s10072-023-07266-x] [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: 10/12/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND COVID-19 is a disease known for its neurological involvement. SARS-CoV-2 infection triggers neuroinflammation, which could significantly contribute to the development of long-term neurological symptoms and structural alterations in the gray matter. However, the existence of a consistent pattern of cerebral atrophy remains uncertain. OBJECTIVE Our study aimed to identify patterns of brain involvement in recovered COVID-19 patients and explore potential relationships with clinical variables during hospitalization. METHODOLOGY In this study, we included 39 recovered patients and 39 controls from a pre-pandemic database to ensure their non-exposure to the virus. We obtained clinical data of the patients during hospitalization, and 3 months later; in addition we obtained T1-weighted magnetic resonance images and performed standard screening cognitive tests. RESULTS We identified two groups of recovered patients based on a cluster analysis of the significant cortical thickness differences between patients and controls. Group 1 displayed significant cortical thickness differences in specific cerebral regions, while Group 2 exhibited significant differences in the cerebellum, though neither group showed cognitive deterioration at the group level. Notably, Group 1 showed a tendency of higher D-dimer values during hospitalization compared to Group 2, prior to p-value correction. CONCLUSION This data-driven division into two groups based on the brain structural differences, and the possible link to D-dimer values may provide insights into the underlying mechanisms of SARS-COV-2 neurological disruption and its impact on the brain during and after recovery from the disease.
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Affiliation(s)
- Angel Omar Romero-Molina
- Instituto de Neuroetologia, Universidad Veracruzana, Xalapa, Veracruz, Mexico
- Laboratorio de Neuropsicologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico
| | - Gabriel Ramirez-Garcia
- Laboratorio de Neuropsicologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico
| | - Amanda Chirino-Perez
- Laboratorio de Neuropsicologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Juan Fernandez-Ruiz
- Instituto de Neuroetologia, Universidad Veracruzana, Xalapa, Veracruz, Mexico.
- Laboratorio de Neuropsicologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico.
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14
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Ye ZX, Bi J, Qiu LL, Chen XY, Li MC, Chen XY, Qiu YS, Yuan RY, Yu XT, Huang CY, Cheng B, Lin W, Chen WJ, Hu JP, Fu Y, Wang N, Gan SR. Cognitive impairment associated with cerebellar volume loss in spinocerebellar ataxia type 3. J Neurol 2024; 271:918-928. [PMID: 37848650 DOI: 10.1007/s00415-023-12042-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/15/2023] [Accepted: 10/01/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Many neuroscience and neurology studies have forced a reconsideration of the traditional motor-related scope of cerebellar function, which has now expanded to include various cognitive functions. Spinocerebellar ataxia type 3 (SCA3; the most common hereditary ataxia) is neuropathologically characterized by cerebellar atrophy and frequently presents with cognitive impairment. OBJECTIVE To characterize cognitive impairment in SCA3 and investigate the cerebellum-cognition associations. METHODS This prospective, cross-sectional cohort study recruited 126 SCA3 patients and 41 healthy control individuals (HCs). Participants underwent a brain 3D T1-weighted images as well as neuropsychological tests. Voxel-based morphometry (VBM) and region of interest (ROI) approaches were performed on the 3D T1-weighted images. CERES was used to automatically segment cerebellums. Patients were grouped into cognitively impaired (CI) and cognitively preserved (CP), and clinical and MRI parameters were compared. Multivariable regression models were fitted to examine associations between cerebellar microstructural alterations and cognitive domain impairments. RESULTS Compared to HCs, SCA3 patients showed cognitive domain impairments in information processing speed, verbal memory, executive function, and visuospatial perception. Between CI and CP subgroups, the CI subgroup was older and had lower education, as well as higher severity scores. VBM and ROI analyses revealed volume loss in cerebellar bilateral lobule VI, right lobule Crus I, and right lobule IV of the CI subgroup, and all these cerebellar lobules were associated with the above cognitive domain impairments. CONCLUSIONS Our findings demonstrate the multiple cognitive domain impairments in SCA3 patients and indicate the responsible cerebellar lobules for the impaired cognitive domain(s).
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Affiliation(s)
- Zhi-Xian Ye
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
| | - Jin Bi
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
| | - Liang-Liang Qiu
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Xuan-Yu Chen
- School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350005, China
| | - Meng-Cheng Li
- Department of Radiology of First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Xin-Yuan Chen
- Department of Rehabilitation Medicine of First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Yu-Sen Qiu
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
| | - Ru-Ying Yuan
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
| | - Xin-Tong Yu
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
| | - Chun-Yu Huang
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Bi Cheng
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
| | - Wei Lin
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
| | - Wan-Jin Chen
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jian-Ping Hu
- Department of Radiology of First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
| | - Ying Fu
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China.
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
- School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350005, China.
| | - Ning Wang
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China.
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
| | - Shi-Rui Gan
- Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, 350005, China.
- Department of Neurology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
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15
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Magielse N, Toro R, Steigauf V, Abbaspour M, Eickhoff SB, Heuer K, Valk SL. Phylogenetic comparative analysis of the cerebello-cerebral system in 34 species highlights primate-general expansion of cerebellar crura I-II. Commun Biol 2023; 6:1188. [PMID: 37993596 PMCID: PMC10665558 DOI: 10.1038/s42003-023-05553-z] [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: 03/16/2023] [Accepted: 11/07/2023] [Indexed: 11/24/2023] Open
Abstract
The reciprocal connections between the cerebellum and the cerebrum have been suggested to simultaneously play a role in brain size increase and to support a broad array of brain functions in primates. The cerebello-cerebral system has undergone marked functionally relevant reorganization. In particular, the lateral cerebellar lobules crura I-II (the ansiform) have been suggested to be expanded in hominoids. Here, we manually segmented 63 cerebella (34 primate species; 9 infraorders) and 30 ansiforms (13 species; 8 infraorders) to understand how their volumes have evolved over the primate lineage. Together, our analyses support proportional cerebellar-cerebral scaling, whereas ansiforms have expanded faster than the cerebellum and cerebrum. We did not find different scaling between strepsirrhines and haplorhines, nor between apes and non-apes. In sum, our study shows primate-general structural reorganization of the ansiform, relative to the cerebello-cerebral system, which is relevant for specialized brain functions in an evolutionary context.
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Grants
- RT and KH are supported by the French Agence Nationale de la Recherche, projects NeuroWebLab (ANR-19-DATA-0025) and DMOBE (ANR-21-CE45-0016). KH received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No101033485 (Individual Fellowship). Last, this work was funded in part by Helmholtz Association’s Initiative and Networking Fund under the Helmholtz International Lab grant agreement InterLabs-0015, and the Canada First Research Excellence Fund (CFREF Competition 2, 2015–2016), awarded to the Healthy Brains, Healthy Lives initiative at McGill University, through the Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL), including NM, SBE, and SLV.
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Affiliation(s)
- Neville Magielse
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
- Otto Hahn Cognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany.
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Roberto Toro
- Institut Pasteur, Unité de Neuroanatomie Appliquée et Théorique, Université Paris Cité, 25 rue du Dr. Roux, 75724, Paris, France
| | - Vanessa Steigauf
- Department of Biology, Northern Michigan University, 1401 Presque Isle Ave, MI, 49855, Marquette, USA
| | - Mahta Abbaspour
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstraße 56, Haus 1, 10117, Berlin, Germany
- Department of Neurology, Charité - Universitätsmedizin Berlin, Bonhoefferweg 3, 10117, Berlin, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Katja Heuer
- Institut Pasteur, Unité de Neuroanatomie Appliquée et Théorique, Université Paris Cité, 25 rue du Dr. Roux, 75724, Paris, France
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany
| | - Sofie L Valk
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
- Otto Hahn Cognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany.
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
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16
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Guder S, Sadeghi F, Zittel S, Quandt F, Choe C, Bönstrup M, Cheng B, Thomalla G, Gerloff C, Schulz R. Disability and persistent motor deficits are linked to structural crossed cerebellar diaschisis in chronic stroke. Hum Brain Mapp 2023; 44:5336-5345. [PMID: 37471691 PMCID: PMC10543354 DOI: 10.1002/hbm.26434] [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: 04/23/2023] [Revised: 06/15/2023] [Accepted: 07/07/2023] [Indexed: 07/22/2023] Open
Abstract
Brain imaging has significantly contributed to our understanding of the cerebellum being involved in recovery after non-cerebellar stroke. Due to its connections with supratentorial brain networks, acute stroke can alter the function and structure of the contralesional cerebellum, known as crossed cerebellar diaschisis (CCD). Data on the spatially precise distribution of structural CCD and their implications for persistent deficits after stroke are notably limited. In this cross-sectional study, structural MRI and clinical data were analyzed from 32 chronic stroke patients, at least 6 months after the event. We quantified lobule-specific contralesional atrophy, as a surrogate of structural CCD, in patients and healthy controls. Volumetric data were integrated with clinical scores of disability and motor deficits. Diaschisis-outcome models were adjusted for the covariables age, lesion volume, and damage to the corticospinal tract. We found that structural CCD was evident for the whole cerebellum, and particularly for lobules V and VI. Lobule VI diaschisis was significantly correlated with clinical scores, that is, volume reductions in contralesional lobule VI were associated with higher levels of disability and motor deficits. Lobule V and the whole cerebellum did not show similar diaschisis-outcome relationships across the spectrum of the clinical scores. These results provide novel insights into stroke-related cerebellar plasticity and might thereby promote lobule VI as a key area prone to structural CCD and potentially involved in recovery and residual motor functioning.
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Affiliation(s)
- Stephanie Guder
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Fatemeh Sadeghi
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Simone Zittel
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Fanny Quandt
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Chi‐un Choe
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Marlene Bönstrup
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
- Department of NeurologyUniversity Medical Center LeipzigLeipzigGermany
| | - Bastian Cheng
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Götz Thomalla
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Christian Gerloff
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Robert Schulz
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
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17
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Işıklar S, Demir İ, Özdemir ST, Özpar R. Examination of the Development and Asymmetry of the Cerebellum and Its Lobules in Individuals Aged 1-18 Years: A Retrospective MRI Study. Brain Topogr 2023; 36:901-925. [PMID: 37550413 DOI: 10.1007/s10548-023-00997-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/24/2023] [Indexed: 08/09/2023]
Abstract
Developmental studies of cerebellar lobules were limited. To our knowledge, structural asymmetry has not been studied in immature cerebellar lobules in the 1-18 age group. This study investigated the effect of age and gender on the volumetric development and asymmetry of the global cerebellum and cerebellar lobules in children and adolescents. In this retrospective study, we included 670 individuals [376 (56.1%) males] aged 1-18 years with normal brain MRIs between 2012 and 2021. volBrain CERES automatically segmented the right and left sides of the cerebellar lobules on three-dimensional T1-weighted MRIs. Volume and asymmetry data from individuals in 16 different age ranges were compared with SPSS (ver.28). The absolute volumetric development of the total cerebellum was consistent with the "S" development model in both sexes. The developmental trajectories of the cerebellar lobules were different from each other and showed sexual dimorphism. In the 1-18 age group, the absolute volumes of the total cerebellum and cerebellar lobules were significantly greater in males (p < 0.05). Absolute volumes of lobules IV, VIIB, VIIIA and VIIIB in the age groups had more gender differences. However, sexual dimorphism was insignificant in the cerebellum's total and lobular relative volume. Lobules IV, V, VI, VIIIA and VIIIB had left > right asymmetry and other lobules and total cerebellum had right > left asymmetry. This study confirmed the developmental heterogeneity and sexual dimorphism in the cerebellar lobules. It also provided volumetric data of the immature cerebellum to enable comparison in various neurological and neuropsychiatric diseases.
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Affiliation(s)
- Sefa Işıklar
- Medical Imaging Techniques Program, Vocational School of Health Services, Bursa Uludag University, 16240, Bursa, Turkey.
| | - İmren Demir
- Medical Imaging Techniques Program, Vocational School of Health Services, Bursa Uludag University, 16240, Bursa, Turkey
| | - Senem Turan Özdemir
- Department of Anatomy, Faculty of Medicine, Bursa Uludag University, Bursa, Turkey
| | - Rıfat Özpar
- Department of Radiology, Faculty of Medicine, Bursa Uludag University, Bursa, Turkey
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18
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Tahedl M, Tan EL, Siah WF, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Finegan E, Bede P. Radiological correlates of pseudobulbar affect: Corticobulbar and cerebellar components in primary lateral sclerosis. J Neurol Sci 2023; 451:120726. [PMID: 37421883 DOI: 10.1016/j.jns.2023.120726] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/02/2023] [Accepted: 06/28/2023] [Indexed: 07/10/2023]
Abstract
INTRODUCTION Pseudobulbar affect (PBA) is a distressing symptom of a multitude of neurological conditions affecting patients with a rage of neuroinflammatory, neurovascular and neurodegenerative conditions. It manifests in disproportionate emotional responses to minimal or no contextual stimulus. It has considerable quality of life implications and treatment can be challenging. METHODS A prospective multimodal neuroimaging study was conducted to explore the neuroanatomical underpinnings of PBA in patients with primary lateral sclerosis (PLS). All participants underwent whole genome sequencing and screening for C9orf72 hexanucleotide repeat expansions, a comprehensive neurological assessment, neuropsychological screening (ECAS, HADS, FrSBe) and PBA was evaluated by the emotional lability questionnaire. Structural, diffusivity and functional MRI data were systematically evaluated in whole-brain (WB) data-driven and region of interest (ROI) hypothesis-driven analyses. In ROI analyses, functional and structural corticobulbar connectivity and cerebello-medullary connectivity alterations were evaluated separately. RESULTS Our data-driven whole-brain analyses revealed associations between PBA and white matter degeneration in descending corticobulbar as well as in commissural tracts. In our hypothesis-driven analyses, PBA was associated with increased right corticobulbar tract RD (p = 0.006) and decreased FA (p = 0.026). The left-hemispheric corticobulbar tract, as well as functional connectivity, showed similar tendencies. While uncorrected p-maps revealed both voxelwise and ROI trends for associations between PBA and cerebellar measures, these did not reach significance to unequivocally support the "cerebellar hypothesis". CONCLUSIONS Our data confirm associations between cortex-brainstem disconnection and the clinical severity of PBA. While our findings may be disease-specific, they are consistent with the classical cortico-medullary model of pseudobulbar affect.
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Affiliation(s)
- Marlene Tahedl
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | - We Fong Siah
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | | | - Mark A Doherty
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Orla Hardiman
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | - Eoin Finegan
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Ireland; Department of Neurology, St James's Hospital, Dublin, Ireland.
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19
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Sun Y, Wang L, Gao K, Ying S, Lin W, Humphreys KL, Li G, Niu S, Liu M, Wang L. Self-supervised learning with application for infant cerebellum segmentation and analysis. Nat Commun 2023; 14:4717. [PMID: 37543620 PMCID: PMC10404262 DOI: 10.1038/s41467-023-40446-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 07/27/2023] [Indexed: 08/07/2023] Open
Abstract
Accurate tissue segmentation is critical to characterize early cerebellar development in the first two postnatal years. However, challenges in tissue segmentation arising from tightly-folded cortex, low and dynamic tissue contrast, and large inter-site data heterogeneity have limited our understanding of early cerebellar development. In this paper, we propose an accurate self-supervised learning framework for infant cerebellum segmentation. We validate its accuracy using 358 subjects from three datasets. Our results suggest the first six months exhibit the most rapid and dynamic changes, with gray matter (GM) playing a dominant role in cerebellar growth over white matter (WM). We also find both GM and WM volumes are larger in males than females, and GM and WM volumes are larger in autistic males than neurotypical males. Application of our method to a larger population will fuel more cerebellar studies, ultimately advancing our comprehension of its structure and function in neurotypical and disordered development.
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Affiliation(s)
- Yue Sun
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Limei Wang
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Kun Gao
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Shihui Ying
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Weili Lin
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Kathryn L Humphreys
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, 37203, USA
- Department of Psychiatric and Behavioral Sciences, School of Medicine, Tulane University, New Orleans, LA, 70118, USA
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Sijie Niu
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Mingxia Liu
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
| | - Li Wang
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
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20
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Seidler R, Tays G, Hupfeld K, McGregor H, Beltran N, de Dios Y, Mulder E, Bloomberg J, Mulavara A, Wood S. Daily Artificial Gravity Partially Mitigates Vestibular Processing Changes Associated with Head-down Tilt Bedrest. RESEARCH SQUARE 2023:rs.3.rs-3157785. [PMID: 37502989 PMCID: PMC10371135 DOI: 10.21203/rs.3.rs-3157785/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Microgravity alters vestibular signaling and reduces body loading, driving sensory reweighting and adaptation. The unloading effects can be modelled using head down tilt bedrest (HDT). Artificial gravity (AG) has been hypothesized to serve as an integrated countermeasure for the physiological declines associated with HDT and spaceflight. Here, we examined the efficacy of 30 minutes of daily AG to counteract brain and behavior changes that arise from 60 days of HDT. One group of participants received 30 minutes of AG daily (AG; n = 16) while in HDT, and another group served as controls, spending 60 days in HDT bedrest with no AG (CTRL; n = 8). We examined how HDT and AG affect vestibular processing by collecting fMRI scans from participants as they received vestibular stimulation. We collected these data prior to, during (2x), and post HDT. We assessed brain activation initially in 10 regions of interest (ROIs) and then conducted an exploratory whole brain analysis. The AG group showed no changes in brain activation during vestibular stimulation in a cerebellar ROI, whereas the CTRL group showed decreased cerebellar activation specific to the HDT phase. Additionally, those that received AG and showed little pre- to post-bed rest changes in left OP2 activation during HDT had better post-HDT balance performance. Exploratory whole brain analyses identified increased pre- to during-HDT activation in the CTRL group in the right precentral gyrus and the right inferior frontal gyrus specific to HDT, where the AG group maintained pre-HDT activation levels. Together, these results indicate that AG could mitigate brain activation changes in vestibular processing in a manner that is associated with better balance performance after HDT.
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21
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Adanyeguh IM, Joers JM, Deelchand DK, Hutter DH, Eberly LE, Guo B, Iltis I, Bushara KO, Henry PG, Lenglet C. Brain MRI detects early-stage alterations and disease progression in Friedreich ataxia. Brain Commun 2023; 5:fcad196. [PMID: 37483529 PMCID: PMC10360047 DOI: 10.1093/braincomms/fcad196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 05/23/2023] [Accepted: 07/05/2023] [Indexed: 07/25/2023] Open
Abstract
Friedreich ataxia is a progressive neurodegenerative disorder characterized by cerebellar and spinal atrophy. However, studies to elucidate the longitudinal progression of the pathology in the brain are somewhat inconsistent and limited, especially for early-stage Friedreich ataxia. Using a multimodal neuroimaging protocol, combined with advanced analysis methods, we sought to identify macrostructural and microstructural alterations in the brain of patients with early-stage Friedreich ataxia to better understand its distribution patterns and progression. We enrolled 28 patients with Friedreich ataxia and 20 age- and gender-matched controls. Longitudinal clinical and imaging data were collected in the patients at baseline, 12, 24 and 36 months. Macrostructural differences were observed in patients with Friedreich ataxia, compared to controls, including lower volume of the cerebellar white matter (but not cerebellar grey matter), superior cerebellar peduncle, thalamus and brainstem structures, and higher volume of the fourth ventricle. Diffusion tensor imaging and fixel-based analysis metrics also showed microstructural differences in several brain regions, especially in the cerebellum and corticospinal tract. Over time, many of these macrostructural and microstructural alterations progressed, especially cerebellar grey and white matter volumes, and microstructure of the superior cerebellar peduncle, posterior limb of the internal capsule and superior corona radiata. In addition, linear regressions showed significant associations between many of those imaging metrics and clinical scales. This study provides evidence of early-stage macrostructural and microstructural alterations and of progression over time in the brain in Friedreich ataxia. Moreover, it allows to non-invasively map such brain alterations over a longer period (3 years) than any previous study, and identifies several brain regions with significant involvement in the disease progression besides the cerebellum. We show that fixel-based analysis of diffusion MRI data is particularly sensitive to longitudinal change in the cerebellar peduncles, as well as motor and sensory white matter tracts. In combination with other morphometric measures, they may therefore provide sensitive imaging biomarkers of disease progression for clinical trials.
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Affiliation(s)
- Isaac M Adanyeguh
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - James M Joers
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Dinesh K Deelchand
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Diane H Hutter
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Lynn E Eberly
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Bin Guo
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Isabelle Iltis
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Khalaf O Bushara
- Department of Neurology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Pierre-Gilles Henry
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Christophe Lenglet
- Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
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22
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Yang Y, Li J, Li T, Li Z, Zhuo Z, Han X, Duan Y, Cao G, Zheng F, Tian D, Wang X, Zhang X, Li K, Zhou F, Huang M, Li Y, Li H, Li Y, Zeng C, Zhang N, Sun J, Yu C, Shi F, Asgher U, Muhlert N, Liu Y, Wang J. Cerebellar connectome alterations and associated genetic signatures in multiple sclerosis and neuromyelitis optica spectrum disorder. J Transl Med 2023; 21:352. [PMID: 37245044 DOI: 10.1186/s12967-023-04164-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/26/2023] [Indexed: 05/29/2023] Open
Abstract
BACKGROUND The cerebellum plays key roles in the pathology of multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD), but the way in which these conditions affect how the cerebellum communicates with the rest of the brain (its connectome) and associated genetic correlates remains largely unknown. METHODS Combining multimodal MRI data from 208 MS patients, 200 NMOSD patients and 228 healthy controls and brain-wide transcriptional data, this study characterized convergent and divergent alterations in within-cerebellar and cerebello-cerebral morphological and functional connectivity in MS and NMOSD, and further explored the association between the connectivity alterations and gene expression profiles. RESULTS Despite numerous common alterations in the two conditions, diagnosis-specific increases in cerebellar morphological connectivity were found in MS within the cerebellar secondary motor module, and in NMOSD between cerebellar primary motor module and cerebral motor- and sensory-related areas. Both diseases also exhibited decreased functional connectivity between cerebellar motor modules and cerebral association cortices with MS-specific decreases within cerebellar secondary motor module and NMOSD-specific decreases between cerebellar motor modules and cerebral limbic and default-mode regions. Transcriptional data explained > 37.5% variance of the cerebellar functional alterations in MS with the most correlated genes enriched in signaling and ion transport-related processes and preferentially located in excitatory and inhibitory neurons. For NMOSD, similar results were found but with the most correlated genes also preferentially located in astrocytes and microglia. Finally, we showed that cerebellar connectivity can help distinguish the three groups from each other with morphological connectivity as predominant features for differentiating the patients from controls while functional connectivity for discriminating the two diseases. CONCLUSIONS We demonstrate convergent and divergent cerebellar connectome alterations and associated transcriptomic signatures between MS and NMOSD, providing insight into shared and unique neurobiological mechanisms underlying these two diseases.
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Affiliation(s)
- Yuping Yang
- Institute for Brain Research and Rehabilitation, South China Normal University, Zhongshan Avenue West 55, Tianhe District, Guangzhou, 510631, China
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PT, UK
| | - Junle Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Zhongshan Avenue West 55, Tianhe District, Guangzhou, 510631, China
| | - Ting Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Zhongshan Avenue West 55, Tianhe District, Guangzhou, 510631, China
| | - Zhen Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Zhongshan Avenue West 55, Tianhe District, Guangzhou, 510631, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China
| | - Xuemei Han
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, 130031, Jilin, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China
| | - Guanmei Cao
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China
| | - Fenglian Zheng
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China
| | - Decai Tian
- Center for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Xinli Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xinghu Zhang
- Center for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Kuncheng Li
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, 330006, Jiangxi, China
| | - Muhua Huang
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi, China
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, 330006, Jiangxi, China
| | - Yuxin Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Haiqing Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Chun Zeng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Ningnannan Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Jie Sun
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Fudong Shi
- Center for Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Umer Asgher
- School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), Islamabad, Pakistan
| | - Nils Muhlert
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PT, UK
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, The West Southern 4th Ring Road, Fengtai District, Beijing, 100070, China.
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Zhongshan Avenue West 55, Tianhe District, Guangzhou, 510631, China.
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, 510631, China.
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China.
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23
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Brinker D, Granert O, Gövert F, Tödt I, Baumann A, Zeuner KE, Wolke R, Deuschl G, Becktepe JS. Grey matter correlates of dystonic soft signs in essential tremor. Parkinsonism Relat Disord 2023; 112:105457. [PMID: 37245277 DOI: 10.1016/j.parkreldis.2023.105457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 05/15/2023] [Accepted: 05/22/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND Questionable signs of dystonia are a common finding in patients with essential tremor (ET). Brain structural alterations in ET patients plus dystonic soft signs (ET + ds) in comparison to ET patients without dystonic soft signs (ET-ds) or patients with tremor associated with manifest dystonia (TAWD) have not been examined yet. Therefore, our study aims to explore alterations of brain grey matter in patients with ET + ds. METHODS A total of 68 elderly patients with ET-ds (n = 32), ET + ds (n = 20) or idiopathic cervical dystonia with dystonia associated action tremor of the upper limbs (TAWD, n = 16) and 42 age-matched healthy controls underwent a clinical and electrophysiological assessment and 3T MRI. For grey matter alterations T1 MRI images were analysed by voxel-based morphometry. Additionally, regression analyses with clinical parameters (tremor frequency, severity and disease duration) were performed. RESULTS VBM showed a significant increase of grey matter in the right lentiform nucleus in ET + ds and TAWD compared to HC and ET-ds. Further, an increase of cortical grey matter in the middle frontal gyrus in ET + ds was shown. The hypertrophy of the lentiform nucleus in ET + ds was correlated with disease severity and duration. CONCLUSION Patients with ET + ds showed grey matter brain structural alterations similar to TAWD. Our findings suggest an involvement of the basal ganglia-cortical loop in ET + ds which may indicate a pathophysiological similarity with TAWD rather than ET.
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Affiliation(s)
- Dana Brinker
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Oliver Granert
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Felix Gövert
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Inken Tödt
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Alexander Baumann
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Kirsten E Zeuner
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Robin Wolke
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Günther Deuschl
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Jos S Becktepe
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany.
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24
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Fraize J, Fischer C, Elmaleh-Bergès M, Kerdreux E, Beggiato A, Ntorkou A, Duchesnay E, Bekha D, Boespflug-Tanguy O, Delorme R, Hertz-Pannier L, Germanaud D. Enhancing fetal alcohol spectrum disorders diagnosis with a classifier based on the intracerebellar gradient of volumetric undersizing. Hum Brain Mapp 2023. [PMID: 37209313 DOI: 10.1002/hbm.26348] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 05/22/2023] Open
Abstract
In fetal alcohol spectrum disorders (FASD), brain growth deficiency is a hallmark of subjects both with fetal alcohol syndrome (FAS) and with non-syndromic FASD (NS-FASD, i.e., those without specific diagnostic features). However, although the cerebellum was suggested to be more severely undersized than the rest of the brain, it has not yet been given a specific place in the FASD diagnostic criteria where neuroanatomical features still count for little if anything in diagnostic specificity. We applied a combination of cerebellar segmentation tools on a 1.5 T 3DT1 brain MRI dataset from a monocentric population of 89 FASD (52 FAS, 37 NS-FASD) and 126 typically developing controls (6-20 years old), providing 8 volumes: cerebellum, vermis and 3 lobes (anterior, posterior, inferior), plus total brain volume. After adjustment of confounders, the allometric scaling relationship between these cerebellar volumes (Vi ) and the total brain or cerebellum volume (Vt ) was fitted (Vi = bVt a ), and the effect of group (FAS, control) on allometric scaling was evaluated. We then estimated for each cerebellar volume in the FAS population the deviation from the typical scaling (v DTS) learned in the controls. Lastly, we trained and tested two classifiers to discriminate FAS from controls, one based on the total cerebellum v DTS only, the other based on all the cerebellar v DTS, comparing their performance both in the FAS and the NS-FASD group. Allometric scaling was significantly different between FAS and control group for all the cerebellar volumes (p < .001). We confirmed the excess of total cerebellum volume deficit (v DTS = -10.6%) and revealed an antero-inferior-posterior gradient of volumetric undersizing in the hemispheres (-12.4%, 1.1%, 2.0%, repectively) and the vermis (-16.7%, -9.2%, -8.6%, repectively). The classifier based on the intracerebellar gradient of v DTS performed more efficiently than the one based on total cerebellum v DTS only (AUC = 92% vs. 82%, p = .001). Setting a high probability threshold for >95% specificity of the classifiers, the gradient-based classifier identified 35% of the NS-FASD to have a FAS cerebellar phenotype, compared to 11% with the cerebellum-only classifier (pFISHER = 0.027). In a large series of FASD, this study details the volumetric undersizing within the cerebellum at the lobar and vermian level using allometric scaling, revealing an anterior-inferior-posterior gradient of vulnerability to prenatal alcohol exposure. It also strongly suggests that this intracerebellar gradient of volumetric undersizing may be a reliable neuroanatomical signature of FAS that could be used to improve the specificity of the diagnosis of NS-FASD.
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Affiliation(s)
- Justine Fraize
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
| | - Clara Fischer
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, BAOBAB, Centre d'études de Saclay, Gif-sur-Yvette, France
| | - Monique Elmaleh-Bergès
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
- Department of Pediatric Radiology, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
| | - Eliot Kerdreux
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
| | - Anita Beggiato
- Department of Child and Adolescent Psychiatry, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
| | - Alexandra Ntorkou
- Department of Pediatric Radiology, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
| | - Edouard Duchesnay
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, BAOBAB, Centre d'études de Saclay, Gif-sur-Yvette, France
| | - Dhaif Bekha
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
| | | | - Richard Delorme
- Department of Child and Adolescent Psychiatry, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
| | - Lucie Hertz-Pannier
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
| | - David Germanaud
- CEA Paris-Saclay, Joliot Institute, NeuroSpin, UNIACT, Centre d'études de Saclay, Gif-sur-Yvette, France
- Université Paris Cité, Inserm, U1141 NeuroDiderot, inDEV, Paris, France
- Department of Genetics, Centre of Excellence InovAND, AP-HP, Robert-Debré Hospital, Paris, France
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Elandaloussi Y, Floris DL, Coupé P, Duchesnay E, Mihailov A, Grigis A, Bègue I, Victor J, Frouin V, Leboyer M, Houenou J, Laidi C. Understanding the relationship between cerebellar structure and social abilities. Mol Autism 2023; 14:18. [PMID: 37189195 DOI: 10.1186/s13229-023-00551-8] [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: 12/27/2022] [Accepted: 05/03/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND The cerebellum contains more than 50% of all neurons in the brain and is involved in a broad range of cognitive functions, including social communication and social cognition. Inconsistent atypicalities in the cerebellum have been reported in individuals with autism compared to controls suggesting the limits of categorical case control comparisons. Alternatively, investigating how clinical dimensions are related to neuroanatomical features, in line with the Research Domain Criteria approach, might be more relevant. We hypothesized that the volume of the "cognitive" lobules of the cerebellum would be associated with social difficulties. METHODS We analyzed structural MRI data from a large pediatric and transdiagnostic sample (Healthy Brain Network). We performed cerebellar parcellation with a well-validated automated segmentation pipeline (CERES). We studied how social communication abilities-assessed with the social component of the Social Responsiveness Scale (SRS)-were associated with the cerebellar structure, using linear mixed models and canonical correlation analysis. RESULTS In 850 children and teenagers (mean age 10.8 ± 3 years; range 5-18 years), we found a significant association between the cerebellum, IQ and social communication performance in our canonical correlation model. LIMITATIONS Cerebellar parcellation relies on anatomical boundaries, which does not overlap with functional anatomy. The SRS was originally designed to identify social impairments associated with autism spectrum disorders. CONCLUSION Our results unravel a complex relationship between cerebellar structure, social performance and IQ and provide support for the involvement of the cerebellum in social and cognitive processes.
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Affiliation(s)
- Yannis Elandaloussi
- Sorbonne Université, UFR Médecine, 75005, Paris, France
- Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), AP-HP, Hôpitaux Universitaires Henri Mondor, 94010, Créteil, France
- Fondation FondaMental, 94010, Créteil, France
- CEA, Neurospin, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Dorothea L Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Pierrick Coupé
- Pictura Research Group, Unité Mixte de Recherche Centre National de la Recherche Scientifique (UMR 5800), Laboratoire Bordelais de Recherche en Informatique, Centre National de la Recherche Scientifique, Talence, France
| | | | | | - Antoine Grigis
- CEA, Neurospin, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Indrit Bègue
- Laboratory for Clinical and Experimental Psychopathology, Department of Psychiatry, University of Geneva, Geneva, Switzerland
- University Hospital of Geneva, Geneva, Switzerland
- Laboratory of Applied Neuroscience, Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, USA
| | - Julie Victor
- CEA, Neurospin, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Vincent Frouin
- CEA, Neurospin, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Marion Leboyer
- Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), AP-HP, Hôpitaux Universitaires Henri Mondor, 94010, Créteil, France
- Fondation FondaMental, 94010, Créteil, France
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, 94010, Créteil, France
| | - Josselin Houenou
- Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), AP-HP, Hôpitaux Universitaires Henri Mondor, 94010, Créteil, France
- Fondation FondaMental, 94010, Créteil, France
- CEA, Neurospin, Université Paris-Saclay, Gif-sur-Yvette, France
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, 94010, Créteil, France
| | - Charles Laidi
- Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), AP-HP, Hôpitaux Universitaires Henri Mondor, 94010, Créteil, France.
- Fondation FondaMental, 94010, Créteil, France.
- CEA, Neurospin, Université Paris-Saclay, Gif-sur-Yvette, France.
- Univ Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, 94010, Créteil, France.
- Child Mind Institute, Center for the Developing Brain, New York, NY, USA.
- Hôpital Albert Chenevier, 40 rue de Mesly, 94000, Créteil, France.
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Tax CM, Genc S, MacIver CL, Nilsson M, Wardle M, Szczepankiewicz F, Jones DK, Peall KJ. Ultra-strong diffusion-weighted MRI reveals cerebellar grey matter abnormalities in movement disorders. Neuroimage Clin 2023; 38:103419. [PMID: 37192563 PMCID: PMC10199248 DOI: 10.1016/j.nicl.2023.103419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/28/2023] [Accepted: 04/23/2023] [Indexed: 05/18/2023]
Abstract
Structural brain MRI has proven invaluable in understanding movement disorder pathophysiology. However, most work has focused on grey/white matter volumetric (macrostructural) and white matter microstructural effects, limiting understanding of frequently implicated grey matter microstructural differences. Using ultra-strong spherical tensor encoding diffusion-weighted MRI, a persistent MRI signal was seen in healthy cerebellar grey matter even at high diffusion-weightings (b ≥ 10,000 s/mm2). Quantifying the proportion of this signal (denoted fs), previously ascertained to originate from inside small spherical spaces, provides a potential proxy for cell body density. In this work, this approach was applied for the first time to a clinical cohort, including patients with diagnosed movement disorders in which the cerebellum has been implicated in symptom pathophysiology. Five control participants (control group 1, median age 24.5 years (20-39 years), imaged at two timepoints, demonstrated consistency in measurement of all three measures - MD (Mean Diffusivity) fs, and Ds (dot diffusivity)- with intraclass correlation coefficients (ICC) of 0.98, 0.86 and 0.76, respectively. Comparison with an older control group (control group 2 (n = 5), median age 51 years (43-58 years)) found no significant differences, neither with morphometric nor microstructural (MD (p = 0.36), fs (p = 0.17) and Ds (p = 0.22)) measures. The movement disorder cohort (Parkinson's Disease, n = 5, dystonia, n = 5. Spinocerebellar Ataxia 6, n = 5) when compared to the age-matched control cohort (Control Group 2) identified significantly lower MD (p < 0.0001 and p < 0.0001) and higher fs values (p < 0.0001 and p < 0.0001) in SCA6 and dystonia cohorts respectively. Lobar division of the cerebellum found these same differences in the superior and inferior posterior lobes, while no differences were seen in either the anterior lobes or with Ds measurements. In contrast to more conventional measures from diffusion tensor imaging, this framework provides enhanced specificity to differences in restricted spherical spaces in grey matter (including small cells) by eliminating signals from cerebrospinal fluid and axons. In the context of human and animal histopathology studies, these findings potentially implicate the cerebellar Purkinje and granule cells as contributors to the observed signal differences, with both cell types having been implicated in several neurological disorders through both postmortem and animal model studies. This novel microstructural imaging approach shows promise for improving movement disorder diagnosis, prognosis, and treatment.
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Affiliation(s)
- Chantal M.W. Tax
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, UK
- University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sila Genc
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Neuroscience Advanced Clinical Imaging Service (NACIS), Department of Neurosurgery, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Claire L MacIver
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Markus Nilsson
- Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Mark Wardle
- Cardiff and Vale University Health Board, University Hospital of Wales Cardiff, Heath Park, Cardiff, UK
| | - Filip Szczepankiewicz
- Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden
- Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Derek K. Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Kathryn J. Peall
- Neuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
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27
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Chandrasekaran J, Petit E, Park YW, Tezenas du Montcel S, Joers JM, Deelchand DK, Považan M, Banan G, Valabregue R, Ehses P, Faber J, Coupé P, Onyike CU, Barker PB, Schmahmann JD, Ratai EM, Subramony SH, Mareci TH, Bushara KO, Paulson H, Durr A, Klockgether T, Ashizawa T, Lenglet C, Öz G. Clinically Meaningful Magnetic Resonance Endpoints Sensitive to Preataxic Spinocerebellar Ataxia Types 1 and 3. Ann Neurol 2023; 93:686-701. [PMID: 36511514 PMCID: PMC10261544 DOI: 10.1002/ana.26573] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/18/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE This study was undertaken to identify magnetic resonance (MR) metrics that are most sensitive to early changes in the brain in spinocerebellar ataxia type 1 (SCA1) and type 3 (SCA3) using an advanced multimodal MR imaging (MRI) protocol in the multisite trial setting. METHODS SCA1 or SCA3 mutation carriers and controls (n = 107) underwent MR scanning in the US-European READISCA study to obtain structural, diffusion MRI, and MR spectroscopy data using an advanced protocol at 3T. Morphometric, microstructural, and neurochemical metrics were analyzed blinded to diagnosis and compared between preataxic SCA (n = 11 SCA1, n = 28 SCA3), ataxic SCA (n = 14 SCA1, n = 37 SCA3), and control (n = 17) groups using nonparametric testing accounting for multiple comparisons. MR metrics that were most sensitive to preataxic abnormalities were identified using receiver operating characteristic (ROC) analyses. RESULTS Atrophy and microstructural damage in the brainstem and cerebellar peduncles and neurochemical abnormalities in the pons were prominent in both preataxic groups, when patients did not differ from controls clinically. MR metrics were strongly associated with ataxia symptoms, activities of daily living, and estimated ataxia duration. A neurochemical measure was the most sensitive metric to preataxic changes in SCA1 (ROC area under the curve [AUC] = 0.95), and a microstructural metric was the most sensitive metric to preataxic changes in SCA3 (AUC = 0.92). INTERPRETATION Changes in cerebellar afferent and efferent pathways underlie the earliest symptoms of both SCAs. MR metrics collected with a harmonized advanced protocol in the multisite trial setting allow detection of disease effects in individuals before ataxia onset with potential clinical trial utility for subject stratification. ANN NEUROL 2023;93:686-701.
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Affiliation(s)
- Jayashree Chandrasekaran
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Emilien Petit
- Sorbonne Université, Paris Brain Institute, Inserm, INRIA, CNRS, APHP, 75013 Paris, France
| | - Young-Woo Park
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - James M. Joers
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Dinesh K. Deelchand
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Michal Považan
- Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Guita Banan
- Norman Fixel Center for Neurological Disorders, College of Medicine, University of Florida, Gainesville, FL 32611, USA
| | - Romain Valabregue
- Sorbonne Université, Paris Brain Institute, Inserm, INRIA, CNRS, APHP, 75013 Paris, France
| | - Philipp Ehses
- German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
| | - Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
- Department of Neurology, University Hospital Bonn, 53127 Bonn, Germany
| | - Pierrick Coupé
- Laboratoire Bordelais de Recherche en Informatique, Université de Bordeaux, 33405 France
| | - Chiadi U. Onyike
- Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Peter B. Barker
- Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jeremy D. Schmahmann
- Ataxia Center, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Eva-Maria Ratai
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02114, USA
| | - S. H. Subramony
- Norman Fixel Center for Neurological Disorders, College of Medicine, University of Florida, Gainesville, FL 32611, USA
| | - Thomas H. Mareci
- Norman Fixel Center for Neurological Disorders, College of Medicine, University of Florida, Gainesville, FL 32611, USA
| | - Khalaf O. Bushara
- Department of Neurology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Henry Paulson
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alexandra Durr
- Sorbonne Université, Paris Brain Institute, Inserm, INRIA, CNRS, APHP, 75013 Paris, France
| | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
- Department of Neurology, University Hospital Bonn, 53127 Bonn, Germany
| | - Tetsuo Ashizawa
- The Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Christophe Lenglet
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Gülin Öz
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, USA
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28
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Ozen O, Yuksel Y, Torun E, Ergun T. Morphometric evaluation of cerebellar lobules in individuals with unilateral vertebral artery hypoplasia. Surg Radiol Anat 2023; 45:401-407. [PMID: 36813912 DOI: 10.1007/s00276-023-03108-9] [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: 12/20/2022] [Accepted: 02/13/2023] [Indexed: 02/24/2023]
Abstract
PURPOSE Vertebral arteries (VAs) provide blood circulation to the posterior fossa in general and are the main blood supply of the posterior fossa structures of the brain. Our aim in this study is to analyze the segmental volumetric values of cerebellar structures with the voxel-based volumetric analysis system in individuals with unilateral vertebral artery hypoplasia. METHODS In this retrospective study, segmental volumetric values/percentile ratios of cerebellar lobules were calculated using 3D fast spoiled gradient recall acquisition in steady-state (3D T1 FSPGR) MRI sequence images of the brain in individuals with unilateral vertebral artery hypoplasia (VAH) and in those without bilateral VAH and any symptoms of vertebrobasilar insufficiency as the control group was evaluated in volBrain ( http://volbrain.upv.es/ ). RESULTS The VAH group consisted of 50 (19 males/31 females) and the control group had 50 (21 males/29 females) individuals. The cerebellar lobule III, IV, VIIIA and X total volumes and the cerebellar lobule I-II, III, IV, VIIIA and X gray matter volumes were lower in the hypoplastic side than the non-hypoplastic cases and also than the contralateral side of the hypoplastic cases in the VAH group. In addition, it was found that that lobules IV and V had lower cortical thickness and lobules I-II had a higher coverage rate in the intracranial cavity in the hypoplastic side than the non-hypoplastic cases and also than the contralateral side of the hypoplastic cases (p < 0.05). CONCLUSION In this study, it was found that cerebellar lobule III, IV, VIIIA, X total volumes and cerebellar lobule I-II, III, IV, VIIIA, X gray matter volumes in addition to lobule IV, V cortical thicknesses were low in individuals with unilateral VAH. Being aware of these variations and taking them into account during future volumetric studies on the cerebellum are very important.
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Affiliation(s)
- Ozkan Ozen
- Department of Radiology, Alanya Education and Research Hospital, Alanya Alaaddin Keykubat University, Oba District, Alanya, Antalya, Turkey.
| | - Yavuz Yuksel
- Department of Radiology, Alanya Education and Research Hospital, Alanya Alaaddin Keykubat University, Oba District, Alanya, Antalya, Turkey
| | - Ebru Torun
- Department of Radiology, Alanya Education and Research Hospital, Alanya Alaaddin Keykubat University, Oba District, Alanya, Antalya, Turkey
| | - Tarkan Ergun
- Department of Radiology, Alanya Education and Research Hospital, Alanya Alaaddin Keykubat University, Oba District, Alanya, Antalya, Turkey
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29
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Salazar AP, McGregor HR, Hupfeld KE, Beltran NE, Kofman IS, De Dios YE, Riascos RF, Reuter-Lorenz PA, Bloomberg JJ, Mulavara AP, Wood SJ, Seidler R. Changes in working memory brain activity and task-based connectivity after long-duration spaceflight. Cereb Cortex 2023; 33:2641-2654. [PMID: 35704860 PMCID: PMC10016051 DOI: 10.1093/cercor/bhac232] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 11/13/2022] Open
Abstract
We studied the longitudinal effects of approximately 6 months of spaceflight on brain activity and task-based connectivity during a spatial working memory (SWM) task. We further investigated whether any brain changes correlated with changes in SWM performance from pre- to post-flight. Brain activity was measured using functional magnetic resonance imaging while astronauts (n = 15) performed a SWM task. Data were collected twice pre-flight and 4 times post-flight. No significant effects on SWM performance or brain activity were found due to spaceflight; however, significant pre- to post-flight changes in brain connectivity were evident. Superior occipital gyrus showed pre- to post-flight reductions in task-based connectivity with the rest of the brain. There was also decreased connectivity between the left middle occipital gyrus and the left parahippocampal gyrus, left cerebellum, and left lateral occipital cortex during SWM performance. These results may reflect increased visual network modularity with spaceflight. Further, increased visual and visuomotor connectivity were correlated with improved SWM performance from pre- to post-flight, while decreased visual and visual-frontal cortical connectivity were associated with poorer performance post-flight. These results suggest that while SWM performance remains consistent from pre- to post-flight, underlying changes in connectivity among supporting networks suggest both disruptive and compensatory alterations due to spaceflight.
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Affiliation(s)
| | - Heather R McGregor
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| | - Kathleen E Hupfeld
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| | | | - Igor S Kofman
- KBR, 601 Jefferson Street, Houston, TX 77002, United States
| | - Yiri E De Dios
- KBR, 601 Jefferson Street, Houston, TX 77002, United States
| | - Roy F Riascos
- Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, United States
| | - Patricia A Reuter-Lorenz
- Department of Psychology, University of Michigan, 530 Church St., Ann Arbor, MI 48109, United States
| | - Jacob J Bloomberg
- NASA Johnson Space Center, 2101 E NASA Parkway, Houston, TX 77058, United States
| | | | - Scott J Wood
- NASA Johnson Space Center, 2101 E NASA Parkway, Houston, TX 77058, United States
| | - RachaelD Seidler
- Corresponding author: Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States.
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30
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Fettrow T, Hupfeld K, Hass C, Pasternak O, Seidler R. Neural correlates of gait adaptation in younger and older adults. Sci Rep 2023; 13:3842. [PMID: 36890163 PMCID: PMC9995534 DOI: 10.1038/s41598-023-30766-x] [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: 08/19/2022] [Accepted: 02/28/2023] [Indexed: 03/10/2023] Open
Abstract
Mobility decline is a major concern for older adults. A key component of maintaining mobility with advancing age is the ability to learn and adapt to the environment. The split-belt treadmill paradigm is an experimental protocol that tests the ability to adapt to a dynamic environment. Here we examined the magnetic resonance imaging (MRI) derived structural neural correlates of individual differences in adaptation to split-belt walking for younger and older adults. We have previously shown that younger adults adopt an asymmetric walking pattern during split-belt walking, particularly in the medial-lateral (ML) direction, but older adults do not. We collected T[Formula: see text]-weighted and diffusion-weighted MRI scans to quantify brain morphological characteristics (i.e. in the gray matter and white matter) on these same participants. We investigated two distinct questions: (1) Are there structural brain metrics that are associated with the ability to adopt asymmetry during split-belt walking; and (2) Are there different brain-behavior relationships for younger and older adults? Given the growing evidence that indicates the brain has a critical role in the maintenance of gait and balance, we hypothesized that brain areas commonly associated with locomotion (i.e. basal ganglia, sensorimotor cortex, cerebellum) would be associated with ML asymmetry and that older adults would show more associations between split-belt walking and prefrontal brain areas. We identified multiple brain-behavior associations. More gray matter volume in the superior frontal gyrus and cerebellar lobules VIIB and VIII, more sulcal depth in the insula, more gyrification in the pre/post central gyri, and more fractional anisotropy in the corticospinal tract and inferior longitudinal fasciculus corresponded to more gait asymmetry. These associations did not differ between younger and older adults. This work progresses our understanding of how brain structure is associated with balance during walking, particularly during adaptation.
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Affiliation(s)
- Tyler Fettrow
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA.
- NASA Langley Research Center, Hampton, VA, USA.
| | - Kathleen Hupfeld
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA
| | - Chris Hass
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachael Seidler
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA
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31
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Nanetti L, Magri S, Fichera M, Castaldo A, Nigri A, Pinardi C, Mongelli A, Sarro L, Pareyson D, Grisoli M, Gellera C, Di Bella D, Mariotti C, Taroni F. Complex Ataxia-Dementia Phenotype in Patients with Digenic TBP/STUB1 Spinocerebellar Ataxia. Mov Disord 2023; 38:665-675. [PMID: 36799493 DOI: 10.1002/mds.29352] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/12/2023] [Accepted: 01/27/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Spinocerebellar ataxias (SCAs) are autosomal dominant disorders with extensive clinical and genetic heterogeneity. We recently identified a form of SCA transmitted with a digenic pattern of inheritance caused by the concomitant presence of an intermediate-length expansion in TATA-box binding protein gene (TBP40-46 ) and a heterozygous pathogenic variant in the Stip1-homologous and U-Box containing protein 1 gene (STUB1). This SCATBP/STUB1 represents the first example of a cerebellar disorder in which digenic inheritance has been identified. OBJECTIVES We studied a large cohort of patients with SCATBP/STUB1 with the aim of describing specific clinical and neuroimaging features of this distinctive genotype. METHODS In this observational study, we recruited 65 affected and unaffected family members from 21 SCATBP/STUB1 families and from eight families with monogenic SCA17. Their characteristics and phenotypes were compared with those of 33 age-matched controls. RESULTS SCATBP/STUB1 patients had multi-domain dementia with a more severe impairment in respect to patient carrying only fully expanded SCA17 alleles. Cerebellar volume and thickness of cerebellar cortex were reduced in SCATBP/STUB1 compared with SCA17 patients (P = 0.03; P = 0.008). Basal ganglia volumes were reduced in both patient groups, as compared with controls, whereas brainstem volumes were significantly reduced in SCATBP/STUB1 , but not in SCA17 patients. CONCLUSIONS The identification of the complex SCATBP/STUB1 phenotype may impact on diagnosis and genetic counseling in the families with both hereditary and sporadic ataxia. The independent segregation of TBP and STUB1 alleles needs to be considered for recurrence risk and predictive genetic tests. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Lorenzo Nanetti
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Stefania Magri
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Mario Fichera
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Anna Castaldo
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Anna Nigri
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Chiara Pinardi
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy.,Bassini Hospital, Cinisello Balsamo, Milan, Italy
| | - Alessia Mongelli
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Lidia Sarro
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy.,Neurology Unit, Martini Hospital, Turin, Italy
| | - Davide Pareyson
- Rare Neurodegenerative and Neurometabolic Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Marina Grisoli
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Cinzia Gellera
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Daniela Di Bella
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Caterina Mariotti
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
| | - Franco Taroni
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milan, Milan, Italy
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Santos-Lobato BL, Rocha JSDS, Rocha LC. Case report: Cerebellar sparing in juvenile Huntington's disease. Front Neurol 2023; 13:1089193. [PMID: 36712421 PMCID: PMC9874289 DOI: 10.3389/fneur.2022.1089193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 12/28/2022] [Indexed: 01/13/2023] Open
Abstract
Juvenile Huntington's disease is an early-onset variant of Huntington's disease, generally associated with large CAG repeats and distinct clinical symptoms. The role of the cerebellum in Huntington's disease has been reevaluated, based on the presence of ataxia and findings on the impact of the disease on cerebellar volume. Recent studies showed a hyperconnectivity between the cerebellum and the basal ganglia in premanifest children with expanded CAG repeats, as well as an enlargement of the cerebellum in adolescence-onset Huntington's disease. We report a 21-year-old Brazilian female with Huntington's disease (age at disease onset 16 years) with Parkinsonism and no ataxic features. There was no reduction of cerebellar volume over 3 years of follow-up, despite the brain atrophy in other regions and clinical worsening. Furthermore, the cerebellar volume of the patient was similar to age- and sex-matched controls. These findings support the existence of compensatory mechanisms involving the cerebellum in individuals with a moderate-to-high number of CAG repeats (50-100 copies) in the early stages of life.
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Affiliation(s)
- Bruno Lopes Santos-Lobato
- Laboratory of Experimental Neuropathology, Federal University of Pará, Belém, PA, Brazil,Hospital Ophir Loyola, Belém, PA, Brazil,*Correspondence: Bruno Lopes Santos-Lobato ✉
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Cabeza-Ruiz R, Velázquez-Pérez L, Pérez-Rodríguez R, Reetz K. ConvNets for automatic detection of polyglutamine SCAs from brain MRIs: state of the art applications. Med Biol Eng Comput 2023; 61:1-24. [PMID: 36385616 DOI: 10.1007/s11517-022-02714-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 10/26/2022] [Indexed: 11/17/2022]
Abstract
Polyglutamine spinocerebellar ataxias (polyQ SCAs) are a group of neurodegenerative diseases, clinically and genetically heterogeneous, characterized by loss of balance and motor coordination due to dysfunction of the cerebellum and its connections. The diagnosis of each type of polyQ SCA, alongside with genetic tests, includes medical images analysis, and its automation may help specialists to distinguish between each type. Convolutional neural networks (ConvNets or CNNs) have been recently used for medical image processing, with outstanding results. In this work, we present the main clinical and imaging features of polyglutamine SCAs, and the basics of CNNs. Finally, we review studies that have used this approach to automatically process brain medical images and may be applied to SCAs detection. We conclude by discussing the possible limitations and opportunities of using ConvNets for SCAs diagnose in the future.
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Affiliation(s)
| | - Luis Velázquez-Pérez
- Cuban Academy of Sciences, La Habana, Cuba
- Center for the Research and Rehabilitation of Hereditary Ataxias, Holguín, Cuba
| | - Roberto Pérez-Rodríguez
- CAD/CAM Study Center, University of Holguín, Holguín, Cuba
- Cuban Academy of Sciences, La Habana, Cuba
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Aachen, Germany
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Faber J, Kügler D, Bahrami E, Heinz LS, Timmann D, Ernst TM, Deike-Hofmann K, Klockgether T, van de Warrenburg B, van Gaalen J, Reetz K, Romanzetti S, Oz G, Joers JM, Diedrichsen J, Reuter M, Garcia-Moreno H, Jacobi H, Jende J, de Vries J, Povazan M, Barker PB, Steiner KM, Krahe J. CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation. Neuroimage 2022; 264:119703. [PMID: 36349595 PMCID: PMC9771831 DOI: 10.1016/j.neuroimage.2022.119703] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/18/2022] [Indexed: 11/07/2022] Open
Abstract
Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene silencing trial has recently started, there is an urgent need for quantitative, sensitive imaging markers at pre-symptomatic stages for stratification and treatment assessment. This work introduces CerebNet, a fully automated, extensively validated, deep learning method for the lobular segmentation of the cerebellum, including the separation of gray and white matter. For training, validation, and testing, T1-weighted images from 30 participants were manually annotated into cerebellar lobules and vermal sub-segments, as well as cerebellar white matter. CerebNet combines FastSurferCNN, a UNet-based 2.5D segmentation network, with extensive data augmentation, e.g. realistic non-linear deformations to increase the anatomical variety, eliminating additional preprocessing steps, such as spatial normalization or bias field correction. CerebNet demonstrates a high accuracy (on average 0.87 Dice and 1.742mm Robust Hausdorff Distance across all structures) outperforming state-of-the-art approaches. Furthermore, it shows high test-retest reliability (average ICC >0.97 on OASIS and Kirby) as well as high sensitivity to disease effects, including the pre-ataxic stage of spinocerebellar ataxia type 3 (SCA3). CerebNet is compatible with FreeSurfer and FastSurfer and can analyze a 3D volume within seconds on a consumer GPU in an end-to-end fashion, thus providing an efficient and validated solution for assessing cerebellum sub-structure volumes. We make CerebNet available as source-code (https://github.com/Deep-MI/FastSurfer).
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Affiliation(s)
- Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Department of Neurology, University Hospital Bonn, Germany
| | - David Kügler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Emad Bahrami
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Computer Science Department, University Bonn, Bonn, Germany
| | - Lea-Sophie Heinz
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Dagmar Timmann
- Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Thomas M. Ernst
- Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | | | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Department of Neurology, University Hospital Bonn, Germany
| | - Bart van de Warrenburg
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Judith van Gaalen
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Germany,JARA-Brain Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich, Germany
| | | | - Gulin Oz
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - James M. Joers
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Jorn Diedrichsen
- Departments of Computer Science and Statistical and Actuarial Sciences, Western University, London, ON, Canada
| | - ESMI MRI Study GroupGiuntiPaola1Garcia-MorenoHector1JacobiHeike3JendeJohann4de VriesJeroen5PovazanMichal6BarkerPeter B.6SteinerKatherina Marie8KraheJanna9Ataxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology & National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UKDepartment of Neurology, University Hospital of Heidelberg, Heidelberg, GermanyDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, GermanyDepartment of Neurology, Expertise Center Movement Disorders Groningen, University Medical Center Groningen, University of Groningen, The NetherlandsJohns Hopkins University School of Medicine, Baltimore, MD, U.S.Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, GermanyDepartment of Neurology, RWTH Aachen University, Germany
| | - Martin Reuter
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA,Department of Radiology, Harvard Medical School, Boston, MA, USA,Corresponding author.
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Effects of apolipoprotein E4 genotype on cerebro-cerebellar connectivity, brain atrophy, and cognition in patients with Alzheimer's disease. J Neurol Sci 2022; 442:120435. [PMID: 36201963 DOI: 10.1016/j.jns.2022.120435] [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: 02/26/2022] [Revised: 08/28/2022] [Accepted: 09/18/2022] [Indexed: 11/20/2022]
Abstract
INTRODUCTION While several studies have substantially revealed the influence of the apolipoprotein E4 genotype (APOE4) on the vulnerability of Alzheimer's disease (AD), there are still far fewer studies investigating whether and how APOE4, in the absence of the amyloid-β (Aβ), alters regional brain atrophy, cerebro-cerebellar connectivity and cognitive performance in AD patients. METHODS We employed MRI and neuropsychological data from 234 old adults with AD dementia, including 143 APOE4-positive (with ε2/ε4, ε3/ε4, or ε4/ε4 alleles) and 91 APOE4-negative (with ε2/ε2, ε2/ε3 or ε3/ε3), to investigate the cerebro-cerebellar connectivity in three cerebro-cerebellar brain networks: default mode network, motor network and affective-limbic network. Amyloid PET images were used to evaluate individual Aβ burdens, later used as covariates. Regional volumetric and cortical thickness measures were quantified in both the cerebellum and the cerebrum using the cerebellum segmentation algorithm and Freesurfer5.3, respectively. RESULTS Our corrected functional connectivity (FC) results showed that APOE4 carriers (APOE4+) had lower FC within the cerebro-cerebellar motor network. In addition, significant group differences in regional cortical thickness were observed in the left Crus I, the right VIIB, left superior frontal, and right middle temporal gyri. Group differences in regional brain volumes were observed in the left lobule V and right parstriangularis. Furthermore, multiple linear regression analysis indicated that APOE4+ AD patients show greater episodic memory impairment. CONCLUSION Since amyloid-β, age, education, and gender were included as confounds in the statistical models, our findings suggest that APOE4 independently contributes to brain atrophy, disrupted FC, and associated memory declines in AD patients.
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Hupfeld KE, McGregor HR, Hass CJ, Pasternak O, Seidler RD. Sensory system-specific associations between brain structure and balance. Neurobiol Aging 2022; 119:102-116. [PMID: 36030560 PMCID: PMC9728121 DOI: 10.1016/j.neurobiolaging.2022.07.013] [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: 03/04/2022] [Revised: 06/26/2022] [Accepted: 07/28/2022] [Indexed: 11/15/2022]
Abstract
Nearly 75% of older adults in the US report balance problems. Although it is known that aging results in widespread brain atrophy, less is known about how brain structure relates to balance in aging. We collected T1- and diffusion-weighted MRI scans and measured postural sway of 36 young (18-34 years) and 22 older (66-84 years) adults during eyes open, eyes closed, eyes open-foam, and eyes closed-foam conditions. We calculated summary measures indicating visual, proprioceptive, and vestibular contributions to balance. Across both age groups, thinner cortex in multisensory integration regions was associated with greater reliance on visual inputs for balance. Greater gyrification within sensorimotor and parietal cortices was associated with greater reliance on proprioceptive inputs. Poorer vestibular function was correlated with thinner vestibular cortex, greater gyrification within sensorimotor, parietal, and frontal cortices, and lower free water-corrected axial diffusivity across the corona radiata and corpus callosum. These results expand scientific understanding of how individual differences in brain structure relate to balance and have implications for developing brain stimulation interventions to improve balance.
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Affiliation(s)
- K E Hupfeld
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - H R McGregor
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - C J Hass
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - O Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R D Seidler
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA; University of Florida Norman Fixel Institute for Neurological Diseases, Gainesville, FL, USA.
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37
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Chipika RH, Mulkerrin G, Pradat PF, Murad A, Ango F, Raoul C, Bede P. Cerebellar pathology in motor neuron disease: neuroplasticity and neurodegeneration. Neural Regen Res 2022; 17:2335-2341. [PMID: 35535867 PMCID: PMC9120698 DOI: 10.4103/1673-5374.336139] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Amyotrophic lateral sclerosis is a relentlessly progressive multi-system condition. The clinical picture is dominated by upper and lower motor neuron degeneration, but extra-motor pathology is increasingly recognized, including cerebellar pathology. Post-mortem and neuroimaging studies primarily focus on the characterization of supratentorial disease, despite emerging evidence of cerebellar degeneration in amyotrophic lateral sclerosis. Cardinal clinical features of amyotrophic lateral sclerosis, such as dysarthria, dysphagia, cognitive and behavioral deficits, saccade abnormalities, gait impairment, respiratory weakness and pseudobulbar affect are likely to be exacerbated by co-existing cerebellar pathology. This review summarizes in vivo and post mortem evidence for cerebellar degeneration in amyotrophic lateral sclerosis. Structural imaging studies consistently capture cerebellar grey matter volume reductions, diffusivity studies readily detect both intra-cerebellar and cerebellar peduncle white matter alterations and functional imaging studies commonly report increased functional connectivity with supratentorial regions. Increased functional connectivity is commonly interpreted as evidence of neuroplasticity representing compensatory processes despite the lack of post-mortem validation. There is a scarcity of post-mortem studies focusing on cerebellar alterations, but these detect pTDP-43 in cerebellar nuclei. Cerebellar pathology is an overlooked facet of neurodegeneration in amyotrophic lateral sclerosis despite its contribution to a multitude of clinical symptoms, widespread connectivity to spinal and supratentorial regions and putative role in compensating for the degeneration of primary motor regions.
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Affiliation(s)
- Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Grainne Mulkerrin
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | | | - Aizuri Murad
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Fabrice Ango
- The Neuroscience Institute of Montpellier (INM), INSERM, CNRS, Montpellier, France
| | - Cédric Raoul
- The Neuroscience Institute of Montpellier (INM), INSERM, CNRS, Montpellier, France
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland; Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France
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38
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Nettekoven CR, Jurdon R, Nandi T, Jenkinson N, Stagg CJ. Cerebellar anodal tDCS does not facilitate visuomotor adaptation or retention. Brain Stimul 2022; 15:1435-1438. [PMID: 36341957 PMCID: PMC7613922 DOI: 10.1016/j.brs.2022.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/12/2022] [Accepted: 10/20/2022] [Indexed: 12/30/2022] Open
Affiliation(s)
| | - Rebecca Jurdon
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU, UK
| | - Tulika Nandi
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU, UK,Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, OX3 7JX, UK,Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, OX1 3TH, UK,Johannes Gutenberg University Medical Centre, Germany
| | - Ned Jenkinson
- Johannes Gutenberg University Medical Centre, Germany School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, B15 2TT, UK
| | - Charlotte J. Stagg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU, UK,Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, OX3 7JX, UK Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, OX1 3TH, UK
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Laidi C, Floris DL, Tillmann J, Elandaloussi Y, Zabihi M, Charman T, Wolfers T, Durston S, Moessnang C, Dell'Acqua F, Ecker C, Loth E, Murphy D, Baron-Cohen S, Buitelaar JK, Marquand AF, Beckmann CF, Frouin V, Leboyer M, Duchesnay E, Coupé P, Houenou J. Cerebellar Atypicalities in Autism? Biol Psychiatry 2022; 92:674-682. [PMID: 36137706 DOI: 10.1016/j.biopsych.2022.05.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 04/27/2022] [Accepted: 05/16/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND The cerebellum contains more than 50% of the brain's neurons and is involved in social cognition. Cerebellar anatomical atypicalities have repeatedly been reported in individuals with autism. However, studies have yielded inconsistent findings, likely because of a lack of statistical power, and did not capture the clinical and neuroanatomical diversity of autism. Our aim was to better understand cerebellar anatomy and its diversity in autism. METHODS We studied cerebellar gray matter morphology in 274 individuals with autism and 219 control subjects of a multicenter European cohort, EU-AIMS LEAP (European Autism Interventions-A Multicentre Study for Developing New Medications; Longitudinal European Autism Project). To ensure the robustness of our results, we conducted lobular parcellation of the cerebellum with 2 different pipelines in addition to voxel-based morphometry. We performed statistical analyses with linear, multivariate (including normative modeling), and meta-analytic approaches to capture the diversity of cerebellar anatomy in individuals with autism and control subjects. Finally, we performed a dimensional analysis of cerebellar anatomy in an independent cohort of 352 individuals with autism-related symptoms. RESULTS We did not find any significant difference in the cerebellum when comparing individuals with autism and control subjects using linear models. In addition, there were no significant deviations in our normative models in the cerebellum in individuals with autism. Finally, we found no evidence of cerebellar atypicalities related to age, IQ, sex, or social functioning in individuals with autism. CONCLUSIONS Despite positive results published in the last decade from relatively small samples, our results suggest that there is no striking difference in cerebellar anatomy of individuals with autism.
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Affiliation(s)
- Charles Laidi
- Department of Translational Neuro-Psychiatry, Université Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale U955, Créteil, France; Fondation FondaMental, Créteil, France; Département Médico-Universitaire de Psychiatrie et d'Addictologie, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, France; Neurospin, CEA, Paris-Saclay University, Gif-sur-Yvette; Center for the Developing Brain, Child Mind Institute, New York, New York.
| | - Dorothea L Floris
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands; Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands; Methods of Plasticity Research, Department of Psychology, University of Zürich, Zürich, Switzerland
| | - Julian Tillmann
- Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Yannis Elandaloussi
- Department of Translational Neuro-Psychiatry, Université Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale U955, Créteil, France; Fondation FondaMental, Créteil, France; Neurospin, CEA, Paris-Saclay University, Gif-sur-Yvette
| | - Mariam Zabihi
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands; Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Thomas Wolfers
- Department of Psychology, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Norwegian Center for Mental Disorders Research, Oslo, Norway
| | - Sarah Durston
- Education Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Carolin Moessnang
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany; Department of Applied Psychology, SRH University Heidelberg, Heidelberg
| | - Flavio Dell'Acqua
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Christine Ecker
- Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Frankfurt am Main, Goethe University, Frankfurt, Germany
| | - Eva Loth
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Declan Murphy
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Simon Baron-Cohen
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Jan K Buitelaar
- Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Andre F Marquand
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands; Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands; Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | | | - Marion Leboyer
- Department of Translational Neuro-Psychiatry, Université Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale U955, Créteil, France; Fondation FondaMental, Créteil, France; Département Médico-Universitaire de Psychiatrie et d'Addictologie, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, France
| | | | - Pierrick Coupé
- Pictura Research Group, Unité Mixte de Recherche Centre National de la Recherche Scientifique (UMR 5800), Laboratoire Bordelais de Recherche en Informatique, Centre National de la Recherche Scientifique, Talence, France; Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Josselin Houenou
- Department of Translational Neuro-Psychiatry, Université Paris Est Créteil, Institut National de la Santé et de la Recherche Médicale U955, Créteil, France; Fondation FondaMental, Créteil, France; Département Médico-Universitaire de Psychiatrie et d'Addictologie, Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, France; Neurospin, CEA, Paris-Saclay University, Gif-sur-Yvette
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40
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Chakravarty MM. Variation in Neuroanatomy in Autism Spectrum Disorder. Biol Psychiatry 2022; 92:612-613. [PMID: 36137705 DOI: 10.1016/j.biopsych.2022.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 08/12/2022] [Indexed: 11/28/2022]
Affiliation(s)
- M Mallar Chakravarty
- Cerebral Imaging Center, Douglas Research Center, and the Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
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41
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Park YW, Joers JM, Guo B, Hutter D, Bushara K, Adanyeguh IM, Eberly LE, Öz G, Lenglet C. Corrigendum: Assessment of cerebral and cerebellar white matter microstructure in spinocerebellar ataxias 1, 2, 3, and 6 using diffusion MRI. Front Neurol 2022; 13:1038298. [PMID: 36247785 PMCID: PMC9559733 DOI: 10.3389/fneur.2022.1038298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 12/04/2022] Open
Affiliation(s)
- Young Woo Park
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
- *Correspondence: Young Woo Park
| | - James M. Joers
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Bin Guo
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States
| | - Diane Hutter
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Khalaf Bushara
- Department of Neurology, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Isaac M. Adanyeguh
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Lynn E. Eberly
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States
| | - Gülin Öz
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Christophe Lenglet
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota Medical School, Minneapolis, MN, United States
- Christophe Lenglet
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Hicks TH, Ballard HK, Sang H, Bernard JA. Age-volume associations in cerebellar lobules by sex and reproductive stage. Brain Struct Funct 2022; 227:2439-2455. [PMID: 35876952 PMCID: PMC10167909 DOI: 10.1007/s00429-022-02535-5] [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: 04/22/2022] [Accepted: 07/01/2022] [Indexed: 11/02/2022]
Abstract
The cerebellum has established associations with motor function and a well-recognized role in cognition. In advanced age, cognitive and motor impairments contribute to reduced quality of life and are more common. Regional cerebellar volume is associated with performance across these domains and sex hormones may influence this volume. Examining sex differences in regional cerebellar volume in conjunction with age, and in the context of reproductive stage stands to improve our understanding of cerebellar aging and pathology. Data from 508 healthy adults (ages 18-88; 47% female) from the Cambridge Centre for Ageing and Neuroscience database were used here. CERES was used to assess lobular volume in T1-weighted images. We examined sex differences in adjusted regional cerebellar volume while controlling for age. A subgroup of participants (n = 370, 50% female) was used to assess group differences in female reproductive stages as compared to age-matched males. Sex differences in adjusted volume were seen across most anterior and posterior cerebellar lobules. Most of these lobules had significant linear relationships with age in males and females. While there were no interactions between sex and reproductive stage groups, exploratory analyses in females alone revealed multiple regional differences by reproductive stage. We found sex differences in volume across much of the cerebellum, linear associations with age, and did not find an interaction for sex and reproductive stage on regional cerebellar volume. Longitudinal investigation into hormonal influences on cerebellar structure and function is warranted as hormonal changes with menopause may impact cerebellar volume over time.
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Affiliation(s)
- Tracey H Hicks
- Department of Psychological and Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77840, USA.
| | - Hannah K Ballard
- Texas A&M University Institute for Neuroscience, 3474 TAMU, College Station, TX, 77843, USA
| | - Huiyan Sang
- Department of Statistics, Texas A&M University, 3143 TAMU, College Station, TX, 77843, USA
| | - Jessica A Bernard
- Department of Psychological and Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77840, USA
- Texas A&M University Institute for Neuroscience, 3474 TAMU, College Station, TX, 77843, USA
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Peter E, Do LD, Hannoun S, Muñiz-Castrillo S, Vogrig A, Wucher V, Pinto AL, Chounlamountri N, Zakaria W, Rogemond V, Picard G, Hedou JJ, Ambati A, Alentorn A, Traverse-Glehen A, Manto M, Psimaras D, Mignot E, Cotton F, Desestret V, Honnorat J, Joubert B. Cerebellar Ataxia With Anti-DNER Antibodies. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2022; 9:9/5/e200018. [PMID: 35940913 PMCID: PMC9359625 DOI: 10.1212/nxi.0000000000200018] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 06/03/2022] [Indexed: 11/24/2022]
Abstract
Background and Objectives There is no report on the long-term outcomes of ataxia with antibodies against Delta and Notch-like epidermal growth factor–related (DNER). We aimed to describe the clinical-immunologic features and long-term outcomes of patients with anti-DNER antibodies. Methods Patients tested positive for anti-DNER antibodies between 2000 and 2020 were identified retrospectively. In those with available samples, immunoglobulin G (IgG) subclass analysis, longitudinal cerebellum volumetry, human leukocyte antigen isotyping, and CSF proteomic analysis were performed. Rodent brain membrane fractionation and organotypic cerebellar slices were used to study DNER cell-surface expression and human IgG binding to the Purkinje cell surface. Results Twenty-eight patients were included (median age, 52 years, range 19–81): 23 of 28 (82.1%) were male and 23 of 28 (82.1%) had a hematologic malignancy. Most patients (27/28, 96.4%) had cerebellar ataxia; 16 of 28 (57.1%) had noncerebellar symptoms (cognitive impairment, neuropathy, and/or seizures), and 27 of 28 (96.4%) became moderately to severely disabled. Half of the patients (50%) improved, and 32.1% (9/28) had no or slight disability at the last visit (median, 26 months; range, 3–238). Good outcome significantly associated with younger age, milder clinical presentations, and less decrease of cerebellar gray matter volumes at follow-up. No human leukocyte antigen association was identified. Inflammation-related proteins were overexpressed in the patients' CSF. In the rodent brain, DNER was enriched in plasma membrane fractions. Patients' anti-DNER antibodies were predominantly IgG1/3 and bound live Purkinje cells in vitro. Discussion DNER ataxia is a treatable condition in which nearly a third of patients have a favorable outcome. DNER antibodies bind to the surface of Purkinje cells and are therefore potentially pathogenic, supporting the use of B-cell–targeting treatments.
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Affiliation(s)
- Elise Peter
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Le Duy Do
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Salem Hannoun
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Sergio Muñiz-Castrillo
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Alberto Vogrig
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Valentin Wucher
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Anne-Laurie Pinto
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Naura Chounlamountri
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Walaa Zakaria
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Veronique Rogemond
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Geraldine Picard
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Julien-Jacques Hedou
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Aditya Ambati
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Agusti Alentorn
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Alexandra Traverse-Glehen
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Mario Manto
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Dimitri Psimaras
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Emmanuel Mignot
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Francois Cotton
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Virginie Desestret
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Jérôme Honnorat
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France
| | - Bastien Joubert
- From the Centre National de Référence pour les Syndromes Neurologiques Paranéoplasiques (E.P., S.M.-C., A.V., A.-L.P., V.R., G.P., V.D.,J.H., B.J.), Hospices Civils de Lyon, Hôpital Neurologique, Bron, France; Synaptopathies and Autoantibodies (SynatAc) Team (E.P., L.D.D., S.M.-C., A.V., V.W., N.C., V.D., J.H., B.J.), Institut NeuroMyoGène-MeLis, INSERM U1314/CNRS UMR 5284, Université de Lyon, France; Medical Imaging Sciences Program (S.H., W.Z.), Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Lebanon; Center for Sleep Sciences and Medicine (J.-J.H., Aditya Ambati, E.M.), Stanford University, Palo Alto, CA; Service de Neurologie 2-Mazarin (Agusti Alentorn, D.P.), Hôpitaux Universitaires La Pitié-Salpêtrière-Charles Foix, APHP; Inserm U1127 CNRS UMR 7225 (Agusti Alentorn, D.P.), Institut du Cerveau et de la Moelle épinière, ICM, Université Pierre-et-Marie-Curie, Sorbonne Universités, Paris, France; INSERM Unité Mixte de Recherche (UMR) S1052 (A.T.-G.), Centre National de la Recherche UMR 5286, Centre de Recherche en Cancérologie de Lyon, France; Département de Pathologie (A.T.-G.), Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite Cedex, France; Service des Neurosciences (M.M.), UMons, Mons, Belgium; Service de Neurologie (M.M.), CHU-Charleroi, Charleroi, Belgium; Department of Radiology (F.C.), Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre-Bénite, France; and Université Lyon 1 (F.C.), CREATIS-LRMN, CNRS/UMR/5220-INSERM U630, Villeurbanne, France.
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Sadeghihassanabadi F, Frey BM, Backhaus W, Choe CU, Zittel S, Schön G, Bönstrup M, Cheng B, Thomalla G, Gerloff C, Schulz R. Structural cerebellar reserve positively influences outcome after severe stroke. Brain Commun 2022; 4:fcac203. [PMID: 36337341 PMCID: PMC9629400 DOI: 10.1093/braincomms/fcac203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/30/2022] [Accepted: 08/02/2022] [Indexed: 12/25/2022] Open
Abstract
The concept of brain reserve capacity positively influencing the process of recovery after stroke has been continuously developed in recent years. Global measures of brain health have been linked with a favourable outcome. Numerous studies have evidenced that the cerebellum is involved in recovery after stroke. However, it remains an open question whether characteristics of cerebellar anatomy, quantified directly after stroke, might have an impact on subsequent outcome after stroke. Thirty-nine first-ever ischaemic non-cerebellar stroke patients underwent MRI brain imaging early after stroke and longitudinal clinical follow-up. Structural images were used for volumetric analyses of distinct cerebellar regions. Ordinal logistic regression analyses were conducted to associate cerebellar volumes with functional outcome 3-6 months after stroke, operationalized by the modified Rankin Scale. Larger volumes of cerebellar lobules IV, VI, and VIIIB were positively correlated with favourable outcome, independent of the severity of initial impairment, age, and lesion volume (P < 0.01). The total cerebellar volume did not exhibit a significant structure-outcome association. The present study reveals that pre-stroke anatomy of distinct cerebellar lobules involved in motor and cognitive functioning might be linked to outcome after acute non-cerebellar stroke, thereby promoting the emerging concepts of structural brain reserve for recovery processes after stroke.
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Affiliation(s)
| | - Benedikt M Frey
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Winifried Backhaus
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Chi-un Choe
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Simone Zittel
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Marlene Bönstrup
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany,Department of Neurology, University Medical Center Leipzig, 04103 Leipzig, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Robert Schulz
- Correspondence to: Robert Schulz MD University Medical Center Hamburg-Eppendorf Martinistraße 52, 20246 Hamburg, Germany E-mail:
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The cerebellar bioenergetic state predicts treatment response in COQ8A-related ataxia. Parkinsonism Relat Disord 2022; 99:91-95. [PMID: 35642996 DOI: 10.1016/j.parkreldis.2022.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/23/2022] [Accepted: 05/10/2022] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Primary coenzyme Q10 (CoQ10) deficiency, a recessive disorder associated with various defects of CoQ10 biosynthesis and widely varying clinical presentation, is customarily managed by oral Q10 supplementation but the benefit is debated. METHODS To address this question, we mapped individual responses in two patients with COQ8A-related ataxia following coenzyme Q10 supplementation using noninvasive imaging. Metabolic 31phosphorus magnetic resonance spectroscopy imaging (31P-MRSI) and volumetric cerebellar neuroimaging were performed to quantify the individual treatment response in two patients with COQ8A-related ataxia, each compared with eight age- and gender-matched healthy control subjects. RESULTS Post-treatment change in energy metabolite levels differed in the two patients, with higher energy levels and improved dysarthria and leg coordination in one, and decreased energy levels without clinical benefit in the other. CONCLUSIONS Our results suggest that the cerebellar bioenergetic state may predict treatment response in COQ8A-related ataxia and highlight the potential of pathophysiology-orientated neuroimaging evidence to inform treatment decisions.
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Manjón JV, Romero JE, Vivo-Hernando R, Rubio G, Aparici F, de la Iglesia-Vaya M, Coupé P. vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis. Front Neuroinform 2022; 16:862805. [PMID: 35685943 PMCID: PMC9171328 DOI: 10.3389/fninf.2022.862805] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/07/2022] [Indexed: 11/13/2022] Open
Abstract
Automatic and reliable quantitative tools for MR brain image analysis are a very valuable resource for both clinical and research environments. In the past few years, this field has experienced many advances with successful techniques based on label fusion and more recently deep learning. However, few of them have been specifically designed to provide a dense anatomical labeling at the multiscale level and to deal with brain anatomical alterations such as white matter lesions (WML). In this work, we present a fully automatic pipeline (vol2Brain) for whole brain segmentation and analysis, which densely labels (N > 100) the brain while being robust to the presence of WML. This new pipeline is an evolution of our previous volBrain pipeline that extends significantly the number of regions that can be analyzed. Our proposed method is based on a fast and multiscale multi-atlas label fusion technology with systematic error correction able to provide accurate volumetric information in a few minutes. We have deployed our new pipeline within our platform volBrain (www.volbrain.upv.es), which has been already demonstrated to be an efficient and effective way to share our technology with the users worldwide.
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Affiliation(s)
- José V. Manjón
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
- *Correspondence: José V. Manjón
| | - José E. Romero
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Roberto Vivo-Hernando
- Instituto de Automática e Informática Industrial, Universitat Politècnica de València, Valencia, Spain
| | - Gregorio Rubio
- Departamento de Matemática Aplicada, Universitat Politècnica de València, Valencia, Spain
| | - Fernando Aparici
- Área de Imagen Medica, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Mariam de la Iglesia-Vaya
- Unidad Mixta de Imagen Biomédica FISABIO-CIPF, Fundación Para el Fomento de la Investigación Sanitario y Biomédica de la Comunidad Valenciana, Valencia, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, ISC III, València, Spain
| | - Pierrick Coupé
- Centre National de la Recherche Scientifique, Univ. Bordeaux, Bordeaux INP, Laboratoire Bordelais de Recherche en Informatique, UMR5800, PICTURA, Talence, France
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47
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Lee MH, Sin S, Lee S, Park H, Wagshul ME, Zimmerman ME, Arens R. Altered cortical structure network in children with obstructive sleep apnea. Sleep 2022; 45:zsac030. [PMID: 35554588 PMCID: PMC9113011 DOI: 10.1093/sleep/zsac030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/10/2022] [Indexed: 02/07/2023] Open
Abstract
STUDY OBJECTIVES Obstructive sleep apnea (OSA) is characterized by recurrent airway collapse during sleep, resulting in intermittent hypoxia and sleep fragmentation that may contribute to alternations in brain structure and function. We hypothesized that OSA in children reorganizes and alters cortical structure, which can cause changes in cortical thickness correlation between brain regions across subjects. METHODS We constructed cortical structure networks based on cortical thickness measurements from 41 controls (age 15.54 ± 1.66 years, male 19) and 50 children with OSA (age 15.32 ± 1.65 years, male 29). The global (clustering coefficient [CC], path length, and small-worldness) and regional (nodal betweenness centrality, NBC) network properties and hub region distributions were examined between groups. RESULTS We found increased CCs in OSA compared to controls across a wide range of network densities (p-value < .05) and lower NBC area under the curve in left caudal anterior cingulate, left caudal middle frontal, left fusiform, left transverse temporal, right pars opercularis, and right precentral gyri (p-value < .05). In addition, while most of the hub regions were the same between groups, the OSA group had fewer hub regions and a different hub distribution compared to controls. CONCLUSIONS Our findings suggest that children with OSA exhibit altered global and regional network characteristics compared to healthy controls. Our approach to the investigation of cortical structure in children with OSA could prove useful in understanding the etiology of OSA-related brain functional disorders.
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Affiliation(s)
- Min-Hee Lee
- Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Sanghun Sin
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Seonjoo Lee
- Department of Biostatistics and Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY, USA
| | - Hyunbin Park
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mark E Wagshul
- Department of Radiology, Albert Einstein College of Medicine, Gruss MRRC, Bronx, NY, USA
| | | | - Raanan Arens
- Division of Respiratory and Sleep Medicine, Children’s Hospital at Montefiore/Albert Einstein College of Medicine, Bronx, NY, USA
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Warren AE, Dalic LJ, Bulluss KJ, Roten A, Thevathasan W, Archer JS. The optimal target and connectivity for
DBS
in
Lennox‐Gastaut
syndrome. Ann Neurol 2022; 92:61-74. [PMID: 35429045 PMCID: PMC9544037 DOI: 10.1002/ana.26368] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/18/2022] [Accepted: 04/11/2022] [Indexed: 11/23/2022]
Abstract
Objective Deep brain stimulation (DBS) can reduce seizures in Lennox–Gastaut syndrome (LGS). However, little is known about the optimal target and whether efficacy depends on connectivity of the stimulation site. Using outcome data from the ESTEL trial, we aimed to determine the optimal target and connectivity for DBS in LGS. Methods A total of 20 patients underwent bilateral DBS of the thalamic centromedian nucleus (CM). Outcome was percentage seizure reduction from baseline after 3 months of DBS, defined using three measures (monthly seizure diaries, 24‐hour scalp electroencephalography [EEG], and a novel diary‐EEG composite). Probabilistic stimulation mapping identified thalamic locations associated with higher/lower efficacy. Two substitute diffusion MRI datasets (a normative dataset from healthy subjects and a “disease‐matched” dataset from a separate group of LGS patients) were used to calculate structural connectivity between DBS sites and a map of areas known to express epileptic activity in LGS, derived from our previous EEG‐fMRI research. Results Results were similar across the three outcome measures. Stimulation was most efficacious in the anterior and inferolateral “parvocellular” CM border, extending into the ventral lateral nucleus (posterior subdivision). There was a positive association between diary‐EEG composite seizure reduction and connectivity to areas of a priori EEG‐fMRI activation, including premotor and prefrontal cortex, putamen, and pontine brainstem. In contrast, outcomes were not associated with baseline clinical variables. Interpretation Efficacious CM‐DBS for LGS is linked to stimulation of the parvocellular CM and the adjacent ventral lateral nucleus, and is associated with connectivity to, and thus likely modulation of, the “secondary epileptic network” underlying the shared electroclinical manifestations of LGS. ANN NEUROL 2022;92:61–74
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Affiliation(s)
- Aaron E.L Warren
- Department of Medicine (Austin Health) University of Melbourne Heidelberg Victoria Australia
- Murdoch Children’s Research Institute Parkville Victoria Australia
- The Florey Institute of Neuroscience and Mental Health Heidelberg Victoria Australia
| | - Linda J. Dalic
- Department of Medicine (Austin Health) University of Melbourne Heidelberg Victoria Australia
- Department of Neurology Austin Health Heidelberg Victoria Australia
| | - Kristian J. Bulluss
- Bionics Institute East Melbourne Victoria Australia
- Department of Neurosurgery Austin Health Heidelberg Victoria Australia
- Department of Surgery University of Melbourne Parkville Victoria Australia
| | - Annie Roten
- Department of Neurology Austin Health Heidelberg Victoria Australia
| | - Wesley Thevathasan
- Department of Neurology Austin Health Heidelberg Victoria Australia
- Bionics Institute East Melbourne Victoria Australia
| | - John S. Archer
- Department of Medicine (Austin Health) University of Melbourne Heidelberg Victoria Australia
- Murdoch Children’s Research Institute Parkville Victoria Australia
- The Florey Institute of Neuroscience and Mental Health Heidelberg Victoria Australia
- Department of Neurology Austin Health Heidelberg Victoria Australia
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Ya Y, Ji L, Jia Y, Zou N, Jiang Z, Yin H, Mao C, Luo W, Wang E, Fan G. Machine Learning Models for Diagnosis of Parkinson's Disease Using Multiple Structural Magnetic Resonance Imaging Features. Front Aging Neurosci 2022; 14:808520. [PMID: 35493923 PMCID: PMC9043762 DOI: 10.3389/fnagi.2022.808520] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 03/08/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose This study aimed to develop machine learning models for the diagnosis of Parkinson's disease (PD) using multiple structural magnetic resonance imaging (MRI) features and validate their performance. Methods Brain structural MRI scans of 60 patients with PD and 56 normal controls (NCs) were enrolled as development dataset and 69 patients with PD and 71 NCs from Parkinson's Progression Markers Initiative (PPMI) dataset as independent test dataset. First, multiple structural MRI features were extracted from cerebellar, subcortical, and cortical regions of the brain. Then, the Pearson's correlation test and least absolute shrinkage and selection operator (LASSO) regression were used to select the most discriminating features. Finally, using logistic regression (LR) classifier with the 5-fold cross-validation scheme in the development dataset, the cerebellar, subcortical, cortical, and a combined model based on all features were constructed separately. The diagnostic performance and clinical net benefit of each model were evaluated with the receiver operating characteristic (ROC) analysis and the decision curve analysis (DCA) in both datasets. Results After feature selection, 5 cerebellar (absolute value of left lobule crus II cortical thickness (CT) and right lobule IV volume, relative value of right lobule VIIIA CT and lobule VI/VIIIA gray matter volume), 3 subcortical (asymmetry index of caudate volume, relative value of left caudate volume, and absolute value of right lateral ventricle), and 4 cortical features (local gyrification index of right anterior circular insular sulcus and anterior agranular insula complex, local fractal dimension of right middle insular area, and CT of left supplementary and cingulate eye field) were selected as the most distinguishing features. The area under the curve (AUC) values of the cerebellar, subcortical, cortical, and combined models were 0.679, 0.555, 0.767, and 0.781, respectively, for the development dataset and 0.646, 0.632, 0.690, and 0.756, respectively, for the independent test dataset, respectively. The combined model showed higher performance than the other models (Delong's test, all p-values < 0.05). All models showed good calibration, and the DCA demonstrated that the combined model has a higher net benefit than other models. Conclusion The combined model showed favorable diagnostic performance and clinical net benefit and had the potential to be used as a non-invasive method for the diagnosis of PD.
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Affiliation(s)
- Yang Ya
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Lirong Ji
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yujing Jia
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Nan Zou
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhen Jiang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Hongkun Yin
- Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China
| | - Chengjie Mao
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Weifeng Luo
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Erlei Wang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Guohua Fan
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
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50
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Rechtman A, Brill L, Zveik O, Uliel B, Haham N, Bick AS, Levin N, Vaknin-Dembinsky A. Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course. Front Neurol 2022; 13:867190. [PMID: 35401390 PMCID: PMC8987978 DOI: 10.3389/fneur.2022.867190] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 02/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background Myelin oligodendrocyte glycoprotein antibody disorders (MOGAD) have evolved as a distinct group of inflammatory, demyelinating diseases of the CNS. MOGAD can present with a monophasic or relapsing disease course with distinct clinical manifestations.However, data on the disease course and disability outcomes of these patients are scarce. We aim to compare brain volumetric changes for MOGAD patients with different disease phenotypes and HCs. Methods Brain magnetic resonance imaging (MRI) scans and clinical data were obtained for 22 MOGAD patients and 22 HCs. Volumetric brain information was determined using volBrain and MDbrain platforms. Results We found decreased brain volume in MOGAD patients compared to HCs, as identified in volume of total brain, gray matter, white matter and deep gray matter (DGM) structures. In addition, we found significantly different volumetric changes between patients with relapsing and monophasic disease course, with significantly decreased volume of total brain and DGM, cerebellum and hippocampus in relapsing patients during the first year of diagnosis. A significant negative correlation was found between EDSS and volume of thalamus. Conclusions Brain MRI analyses revealed volumetric differences between MOGAD patients and HCs, and between patients with different disease phenotypes. Decreased gray matter volume during the first year of diagnosis, especially in the cerebrum and hippocampus of MOGAD patients was associated with relapsing disease course.
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Affiliation(s)
- Ariel Rechtman
- Department of Neurology and Laboratory of Neuroimmunology and the Agnes-Ginges Center for Neurogenetics, Hadassah-Medical Center, Ein–Kerem, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Livnat Brill
- Department of Neurology and Laboratory of Neuroimmunology and the Agnes-Ginges Center for Neurogenetics, Hadassah-Medical Center, Ein–Kerem, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Omri Zveik
- Department of Neurology and Laboratory of Neuroimmunology and the Agnes-Ginges Center for Neurogenetics, Hadassah-Medical Center, Ein–Kerem, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Benjamin Uliel
- Department of Neurology and Laboratory of Neuroimmunology and the Agnes-Ginges Center for Neurogenetics, Hadassah-Medical Center, Ein–Kerem, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nitzan Haham
- Department of Neurology and Laboratory of Neuroimmunology and the Agnes-Ginges Center for Neurogenetics, Hadassah-Medical Center, Ein–Kerem, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Atira S. Bick
- Functional Imaging Unit, Department of Neurology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Netta Levin
- Functional Imaging Unit, Department of Neurology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Adi Vaknin-Dembinsky
- Department of Neurology and Laboratory of Neuroimmunology and the Agnes-Ginges Center for Neurogenetics, Hadassah-Medical Center, Ein–Kerem, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- *Correspondence: Adi Vaknin-Dembinsky
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