1
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Ewald VAM, Purnell JR, Bruss JE, Barsotti EJ, Aldine AS, Mahachi KG, Wemmie JA, Magnotta VA, Boes AD, Parker KL, Fiedorowicz JG. Posterior Fossa Sub-Arachnoid Cysts Observed in Patients with Bipolar Disorder: a Retrospective Cohort Study. CEREBELLUM (LONDON, ENGLAND) 2023; 22:370-378. [PMID: 35568792 PMCID: PMC9659668 DOI: 10.1007/s12311-022-01408-1] [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: 04/12/2022] [Indexed: 11/29/2022]
Abstract
Posterior fossa arachnoid cysts (PFACs) are rare congenital abnormalities observed in 0.3 to 1.7% of the population and are traditionally thought to be benign. While conducting a neuroimaging study investigating cerebellar structure in bipolar disorder, we observed a higher incidence of PFACs in bipolar patients (5 of 75; 6.6%) compared to the neuronormative control group (1 of 54; 1.8%). In this report, we detail the cases of the five patients with bipolar disorder who presented with PFACs. Additionally, we compare neuropsychiatric measures and cerebellar volumes of these patients to neuronormative controls and bipolar controls (those with bipolar disorder without neuroanatomical abnormalities). Our findings suggest that patients with bipolar disorder who also present with PFACs may have a milder symptom constellation relative to patients with bipolar disorder and no neuroanatomical abnormalities. Furthermore, our observations align with prior literature suggesting an association between PFACs and psychiatric symptoms that warrants further study. While acknowledging sample size limitations, our primary aim in the present work is to highlight a connection between PFACs and BD-associated symptoms and encourage further study of cerebellar abnormalities in psychiatry.
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Affiliation(s)
- Victόria A Müller Ewald
- Department of Psychiatry, The University of Iowa, 195-207 Newton Road, Iowa City, IA, 52246, USA
| | - Jessica R Purnell
- Department of Psychiatry, The University of Iowa, 195-207 Newton Road, Iowa City, IA, 52246, USA
| | - Joel E Bruss
- Department of Neurology, The University of Iowa, Iowa City, IA, USA
| | - Ercole J Barsotti
- Department of Epidemiology, The University of Iowa, Iowa City, IA, USA
| | - Amro S Aldine
- Department of Radiology, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Kurayi G Mahachi
- Department of Epidemiology, The University of Iowa, Iowa City, IA, USA
| | - John A Wemmie
- Department of Psychiatry, The University of Iowa, 195-207 Newton Road, Iowa City, IA, 52246, USA
| | - Vincent A Magnotta
- Department of Psychiatry, The University of Iowa, 195-207 Newton Road, Iowa City, IA, 52246, USA
- Department of Radiology, The University of Iowa, Iowa City, IA, USA
- Department of Biomedical Engineering, The University of Iowa, Iowa City, IA, USA
| | - Aaron D Boes
- Department of Psychiatry, The University of Iowa, 195-207 Newton Road, Iowa City, IA, 52246, USA
- Department of Pediatrics, The University of Iowa, Iowa City, IA, USA
| | - Krystal L Parker
- Department of Psychiatry, The University of Iowa, 195-207 Newton Road, Iowa City, IA, 52246, USA.
| | - Jess G Fiedorowicz
- Brain and Mind Institute, University of Ottawa, The Ottawa Hospital and Ottawa Hospital Research Institute, Ottawa, ON, Canada
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2
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Moreau CA, Kumar K, Harvey A, Huguet G, Urchs SGW, Schultz LM, Sharmarke H, Jizi K, Martin CO, Younis N, Tamer P, Martineau JL, Orban P, Silva AI, Hall J, van den Bree MBM, Owen MJ, Linden DEJ, Lippé S, Bearden CE, Almasy L, Glahn DC, Thompson PM, Bourgeron T, Bellec P, Jacquemont S. Brain functional connectivity mirrors genetic pleiotropy in psychiatric conditions. Brain 2023; 146:1686-1696. [PMID: 36059063 PMCID: PMC10319760 DOI: 10.1093/brain/awac315] [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: 04/14/2022] [Revised: 07/13/2022] [Accepted: 08/11/2022] [Indexed: 02/03/2023] Open
Abstract
Pleiotropy occurs when a genetic variant influences more than one trait. This is a key property of the genomic architecture of psychiatric disorders and has been observed for rare and common genomic variants. It is reasonable to hypothesize that the microscale genetic overlap (pleiotropy) across psychiatric conditions and cognitive traits may lead to similar overlaps at the macroscale brain level such as large-scale brain functional networks. We took advantage of brain connectivity, measured by resting-state functional MRI to measure the effects of pleiotropy on large-scale brain networks, a putative step from genes to behaviour. We processed nine resting-state functional MRI datasets including 32 726 individuals and computed connectome-wide profiles of seven neuropsychiatric copy-number-variants, five polygenic scores, neuroticism and fluid intelligence as well as four idiopathic psychiatric conditions. Nine out of 19 pairs of conditions and traits showed significant functional connectivity correlations (rFunctional connectivity), which could be explained by previously published levels of genomic (rGenetic) and transcriptomic (rTranscriptomic) correlations with moderate to high concordance: rGenetic-rFunctional connectivity = 0.71 [0.40-0.87] and rTranscriptomic-rFunctional connectivity = 0.83 [0.52; 0.94]. Extending this analysis to functional connectivity profiles associated with rare and common genetic risk showed that 30 out of 136 pairs of connectivity profiles were correlated above chance. These similarities between genetic risks and psychiatric disorders at the connectivity level were mainly driven by the overconnectivity of the thalamus and the somatomotor networks. Our findings suggest a substantial genetic component for shared connectivity profiles across conditions and traits, opening avenues to delineate general mechanisms-amenable to intervention-across psychiatric conditions and genetic risks.
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Affiliation(s)
- Clara A Moreau
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université Paris Cité, Paris, France
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, UdeM, Montreal, QC H3W 1W5, Canada
| | - Kuldeep Kumar
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
| | - Annabelle Harvey
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, UdeM, Montreal, QC H3W 1W5, Canada
| | - Guillaume Huguet
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
| | - Sebastian G W Urchs
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, UdeM, Montreal, QC H3W 1W5, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Laura M Schultz
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Hanad Sharmarke
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, UdeM, Montreal, QC H3W 1W5, Canada
| | - Khadije Jizi
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
| | | | - Nadine Younis
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
| | - Petra Tamer
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
| | - Jean-Louis Martineau
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
| | - Pierre Orban
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, UdeM, Montréal, QC H1N 3V2, Canada
- Département de Psychiatrie et d’Addictologie, Université de Montréal, Pavillon Roger-Gaudry, C.P. 6128, Succursale Centre-ville, Montréal, QC H3C 3J7, Canada
| | - Ana Isabel Silva
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Marianne B M van den Bree
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Michael J Owen
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - David E J Linden
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Sarah Lippé
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
| | - Carrie E Bearden
- Integrative Center for Neurogenetics, Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA 90095, USA
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Biobehavioral Sciences and Psychology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - David C Glahn
- Department of Psychiatry, Harvard Medical School, Cambridge, MA 02115, USA
- Boston Children’s Hospital, Tommy Fuss Center for Neuropsychiatric Disease Research, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Institute for Neuroimaging and Informatics, Keck USC School of Medicine, Marina del Rey, CA, USA
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université Paris Cité, Paris, France
| | - Pierre Bellec
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, UdeM, Montreal, QC H3W 1W5, Canada
| | - Sebastien Jacquemont
- Sainte Justine Research Center, University of Montréal, Montréal, QC H3T 1C5, Canada
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3
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Guell X. Functional Gradients of the Cerebellum: a Review of Practical Applications. CEREBELLUM (LONDON, ENGLAND) 2022; 21:1061-1072. [PMID: 34741753 PMCID: PMC9072599 DOI: 10.1007/s12311-021-01342-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/25/2021] [Indexed: 11/29/2022]
Abstract
Gradient-based analyses have contributed to the description of cerebellar functional neuroanatomy. More recently, functional gradients of the cerebellum have been used as a multi-purpose tool for neuroimaging research. Here, we provide an overview of the many practical applications of cerebellar functional gradient analyses. These practical applications include examination of intra-cerebellar and cerebellar-extracerebellar organization; transformation of functional gradients into parcellations with discrete borders; projection of functional gradients calculated within cerebellar structures to other extracerebellar structures; interpretation of cerebellar neuroimaging findings using qualitative and quantitative methods; detection of differences in patient populations; and other more complex practical applications of cerebellar gradient-based analyses. This review may serve as an introduction and catalog of options for neuroscientists who wish to design and analyze imaging studies using functional gradients of the cerebellum.
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Affiliation(s)
- Xavier Guell
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Boston, MA, 20114, USA.
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research at MIT, Massachusetts Institute of Technology, Cambridge, MA, USA.
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4
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Nieto-Castanon A. Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA). PLoS Comput Biol 2022; 18:e1010634. [PMID: 36378714 PMCID: PMC9707802 DOI: 10.1371/journal.pcbi.1010634] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 11/29/2022] [Accepted: 10/04/2022] [Indexed: 11/16/2022] Open
Abstract
Current functional Magnetic Resonance Imaging technology is able to resolve billions of individual functional connections characterizing the human connectome. Classical statistical inferential procedures attempting to make valid inferences across this many measures from a reduced set of observations and from a limited number of subjects can be severely underpowered for any but the largest effect sizes. This manuscript discusses fc-MVPA (functional connectivity Multivariate Pattern Analysis), a novel method using multivariate pattern analysis techniques in the context of brain-wide connectome inferences. The theory behind fc-MVPA is presented, and several of its key concepts are illustrated through examples from a publicly available resting state dataset, including an analysis of gender differences across the entire functional connectome. Finally, Monte Carlo simulations are used to demonstrate the validity and sensitivity of this method. In addition to offering powerful whole-brain inferences, fc-MVPA also provides a meaningful characterization of the heterogeneity in functional connectivity across subjects. The human connectome comprises billions of functional connections between distant brain areas. In recent years, analyses of functional Magnetic Resonance Imaging (fMRI) data have provided large amounts of information exploring the differences in the human connectome across individuals, developmental trajectories, or mental states. However, scientists’ ability to derive strong conclusions from the analysis of these data are often hindered by the sheer number of connections analyzed, where only connections that show exceptionally large effects are able to stand out against that vast background. This leads to results that tend to overemphasize similarities and mask out differences that are either weaker or distributed across multiple individual connections, potentially misleading conceptual models of the human connectome. This manuscript discusses a novel method for the analysis of the human connectome (functional connectivity Multivariate Pattern Analysis) that addresses these limitations and enables strong conclusions from fMRI data by combining classical statistics with modern pattern analysis techniques. This technique is exemplified using a publicly available database of resting state data to characterize some of the main aspects of the human connectome that differ across individuals, and to identify specific differences in the human connectome across gender.
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Affiliation(s)
- Alfonso Nieto-Castanon
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts, United States of America
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- * E-mail:
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5
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Starowicz-Filip A, Bętkowska-Korpała B, Yablonska T, Kwiatkowski S, Milczarek O, Klasa Ł, Chrobak AA. Involvement of the cerebellum in the regulation of executive functions in children—Preliminary analysis based on a neuropsychological study of children after cerebellar tumour surgery. Front Psychol 2022; 13:961577. [PMID: 36275206 PMCID: PMC9583864 DOI: 10.3389/fpsyg.2022.961577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 09/13/2022] [Indexed: 11/25/2022] Open
Abstract
Aim Preliminary assessment of executive functions in children with cerebellar lesions, description of their emotional-social functioning and selection of sensitive neuropsychological tools to detect the cerebellar cognitive affective syndrome (CCAS). Materials and methods The study group consisted of 10 children after cerebellar tumour surgery. The control group consisted of 10 healthy children, matched for age and sex: The IDS-2 executive functions battery, the Conners 3 ADHD questionnaire, the Autism Spectrum Rating Scales (ASRS) and the International Cooperative Ataxia Rating Scale (ICARS) were used. Results Statistical analysis showed statistically significant differences between the experimental and control groups in terms of two dimensions of executive functioning. Children from experimental group was characterised by worse planning and divided attention than healthy controls. Moreover children with cerebellar lesions were characterised by significantly higher levels of some behaviours similar to that observed in autism spectrum disorders, namely difficulties in social relationships, self-regulation of emotions, attention, and greater behavioural rigidity. Test power analysis and estimation of the effect size by the Cohen’s d coefficient indicated that with a slight increase in the size of the experimental group, the probability of detecting statistically significant difference in the executive functions total measure score as well as in several ASRS subscales increased, but not in Conners 3 subscales. Conclusions Cerebellar damage may pose a risk for dysexecutive syndrome and social-emotional problems in children. The IDS-2 executive functions battery and the ASRS test are sufficiently sensitive tools to assess elements of the CCAS in children.
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Affiliation(s)
- Anna Starowicz-Filip
- Department of Medical Psychology, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
- *Correspondence: Anna Starowicz-Filip,
| | - Barbara Bętkowska-Korpała
- Department of Medical Psychology, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Tetiana Yablonska
- Department of Developmental Psychology, Faculty of Psychology, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
| | - Stanisław Kwiatkowski
- Department of Pediatric Neurosurgery, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Olga Milczarek
- Department of Pediatric Neurosurgery, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Łukasz Klasa
- Department of Pediatric Neurosurgery, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Adrian Andrzej Chrobak
- Department of Adult Psychiatry, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland
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6
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Luo ZJ, Li H, Yang L, Kang B, Cai T. Exome sequencing revealed USP9X and COL2A1 mutations in a large family with multiple epiphyseal dysplasia. Bone 2022; 163:116508. [PMID: 35907616 DOI: 10.1016/j.bone.2022.116508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/24/2022] [Accepted: 07/25/2022] [Indexed: 11/02/2022]
Abstract
Diagnosis of rare skeletal diseases is based primarily on clinical phenotype and radiographic analysis. Genetic etiology of these heterogeneous diseases remains largely unknown. Here, we report the identification of two genomic mutations using exome sequencing from patients with multiple epiphyseal dysplasia (MED) of an unusual family in autosomal dominant and X-linked inheritance. A dominant mutation (c.2224G > A; p.Gly687Ser) in the known causal COL2A1 gene was identified in three patients with MED, deformed femoral heads and vertebral dysplasia. Furthermore, a hemizygous mutation (c.2830G > A; p.Ala944Thr) in the USP9X gene was identified in the fourth patient with short stature, MED, deformed femoral head, thoracic and lumbar platyspondyly, right ankle condyle dysplasia, and subchondral sclerosis. This is the first identification of an X-linked candidate causative gene in a patient with MED, suggesting a new clinical entity. Our findings shed a new light on the role of USP9X in MED-associated disorders.
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Affiliation(s)
- Zhuo-Jing Luo
- Institute of Orthopaedics, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Hongzhuo Li
- Department of Orthopedics, Heping Hospital Attached to Changzhi Medical College, Changzhi, China
| | - Liu Yang
- Institute of Orthopaedics, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | | | - Tao Cai
- Experimental Medicine Section, National Institute of Dental and Craniofacial Research, NIH, Bethesda, MD, USA.
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7
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Lien YR, Lin YC, Lin SHN, Lin CP, Chang LH. Frequency-Dependent Effects of Cerebellar Repetitive Transcranial Magnetic Stimulation on Visuomotor Accuracy. Front Neurosci 2022; 16:804027. [PMID: 35368261 PMCID: PMC8971901 DOI: 10.3389/fnins.2022.804027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/14/2022] [Indexed: 12/11/2022] Open
Abstract
The cerebellum plays a critical role in acquiring visuomotor skills. Visuomotor task mastery requires improving both visuomotor accuracy and stability; however, the cerebellum’s contribution to these processes remains unclear. We hypothesized that repetitive transcranial magnetic stimulation (rTMS) of the cerebellum exerts frequency-dependent modulatory effects on both accuracy and stability in subjects performing a visuomotor coordination task (i.e., pursuit rotor task). We recruited 43 healthy volunteers and randomly assigned them to the high-frequency (HF), low-frequency (LF), and sham rTMS groups. We calculated changes in performance of the pursuit rotor task at the highest rotation speed and the minimum distance from target as indices of accuracy. We also calculated the intertrial variability (standard deviations) of time on target and distance from target as indices of stability. Visuomotor accuracy was significantly enhanced in the HF group and disrupted in the LF group compared to the sham group, indicating frequency-dependent effects of rTMS. In contrast, both HF and LF rTMS demonstrated no significant change in visuomotor stability. Surprisingly, our findings demonstrated that the accuracy and stability of visuomotor performance may be differentially influenced by cerebellar rTMS. This suggests that visuomotor accuracy and stability have different underlying neural mechanisms and revealed the possibility of training strategies based on cerebellar neuromodulation.
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Affiliation(s)
- Yun R. Lien
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Cheng Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Taipei Municipal Gan-Dau Hospital, Taipei, Taiwan
| | - Shang-Hua N. Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Li-Hung Chang
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Education Center for Humanities and Social Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Institute of Philosophy of Mind and Cognition, National Yang Ming Chiao Tung University, Taipei, Taiwan
- *Correspondence: Li-Hung Chang,
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8
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Chen Z, Zhang R, Huo H, Liu P, Zhang C, Feng T. Functional connectome of human cerebellum. Neuroimage 2022; 251:119015. [DOI: 10.1016/j.neuroimage.2022.119015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 01/26/2022] [Accepted: 02/17/2022] [Indexed: 10/19/2022] Open
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9
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Onitsuka T, Hirano Y, Nemoto K, Hashimoto N, Kushima I, Koshiyama D, Koeda M, Takahashi T, Noda Y, Matsumoto J, Miura K, Nakazawa T, Hikida T, Kasai K, Ozaki N, Hashimoto R. Trends in big data analyses by multicenter collaborative translational research in psychiatry. Psychiatry Clin Neurosci 2022; 76:1-14. [PMID: 34716732 PMCID: PMC9306748 DOI: 10.1111/pcn.13311] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 10/01/2021] [Accepted: 10/17/2021] [Indexed: 12/01/2022]
Abstract
The underlying pathologies of psychiatric disorders, which cause substantial personal and social losses, remain unknown, and their elucidation is an urgent issue. To clarify the core pathological mechanisms underlying psychiatric disorders, in addition to laboratory-based research that incorporates the latest findings, it is necessary to conduct large-sample-size research and verify reproducibility. For this purpose, it is critical to conduct multicenter collaborative research across various fields, such as psychiatry, neuroscience, molecular biology, genomics, neuroimaging, cognitive science, neurophysiology, psychology, and pharmacology. Moreover, collaborative research plays an important role in the development of young researchers. In this respect, the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium and Cognitive Genetics Collaborative Research Organization (COCORO) have played important roles. In this review, we first overview the importance of multicenter collaborative research and our target psychiatric disorders. Then, we introduce research findings on the pathophysiology of psychiatric disorders from neurocognitive, neurophysiological, neuroimaging, genetic, and basic neuroscience perspectives, focusing mainly on the findings obtained by COCORO. It is our hope that multicenter collaborative research will contribute to the elucidation of the pathological basis of psychiatric disorders.
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Affiliation(s)
- Toshiaki Onitsuka
- Department of Neuroimaging Psychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Itaru Kushima
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Medical Genomics Center, Nagoya University Hospital, Nagoya, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Michihiko Koeda
- Department of Neuropsychiatry, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.,Department of Neuropsychiatry, Nippon Medical School, Tama Nagayama Hospital, Tokyo, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Takanobu Nakazawa
- Department of Bioscience, Tokyo University of Agriculture, Tokyo, Japan
| | - Takatoshi Hikida
- Laboratory for Advanced Brain Functions, Institute for Protein Research, Osaka University, Osaka, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
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10
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Structural and resting state functional connectivity beyond the cortex. Neuroimage 2021; 240:118379. [PMID: 34252527 DOI: 10.1016/j.neuroimage.2021.118379] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/21/2021] [Accepted: 07/07/2021] [Indexed: 12/14/2022] Open
Abstract
Mapping the structural and functional connectivity of the central nervous system has become a key area within neuroimaging research. While detailed network structures across the entire brain have been probed using animal models, non-invasive neuroimaging in humans has thus far been dominated by cortical investigations. Beyond the cortex, subcortical nuclei have traditionally been less accessible due to their smaller size and greater distance from radio frequency coils. However, major neuroimaging developments now provide improved signal and the resolution required to study these structures. Here, we present an overview of the connectivity between the amygdala, brainstem, cerebellum, spinal cord and the rest of the brain. While limitations to their imaging and analyses remain, we also provide some recommendations and considerations for mapping brain connectivity beyond the cortex.
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11
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Lin YC, Hsu CCH, Wang PN, Lin CP, Chang LH. The Relationship Between Zebrin Expression and Cerebellar Functions: Insights From Neuroimaging Studies. Front Neurol 2020; 11:315. [PMID: 32390933 PMCID: PMC7189018 DOI: 10.3389/fneur.2020.00315] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 03/31/2020] [Indexed: 12/26/2022] Open
Abstract
The cerebellum has long been known to play an important role in motor and balance control, and accumulating evidence has revealed that it is also involved in multiple cognitive functions. However, the evidence from neuroimaging studies and clinical observations is not well-integrated at the anatomical or molecular level. The goal of this review is to summarize and link different aspects of the cerebellum, including molecular patterning, functional topography images, and clinical cerebellar disorders. More specifically, we explored the potential relationships between the cerebrocerebellar connections and the expression of particular molecules and, in particular, zebrin stripe (a Purkinje cell-specific antibody molecular marker, which is a glycolytic enzyme expressed in cerebellar Purkinje cells). We hypothesized that the zebrin patterns contribute to cerebellar functional maps—especially when cerebrocerebellar circuit changes exist in cerebellar-related diseases. The zebrin stripe receives input from climbing fibers and project to different parts of the cerebral cortex through its cerebrocerebellar connection. Since zebrin-positive cerebellar Purkinje cells are resistant to excitotoxicity and cell injury while zebrin-negative zones are more prone to damage, we suggest that motor control dysfunction symptoms such as ataxia and dysmetria present earlier and are easier to observe than non-ataxia symptoms due to zebrin-negative cell damage by cerebrocerebellar connections. In summary, we emphasize that the molecular zebrin patterns provide the basis for a new viewpoint from which to investigate cerebellar functions and clinico-neuroanatomic correlations.
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Affiliation(s)
- Yi-Cheng Lin
- Taipei Municipal Gan-Dau Hospital, Taipei, Taiwan.,Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.,Institute of Neuroscience, School of Life Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Chih-Chin Heather Hsu
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Pei-Ning Wang
- Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, School of Life Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Li-Hung Chang
- Institute of Neuroscience, School of Life Sciences, National Yang-Ming University, Taipei, Taiwan.,Education Center for Humanities and Social Sciences, School of Humanities and Social Sciences, National Yang-Ming University, Taipei, Taiwan
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12
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Mitoma H, Buffo A, Gelfo F, Guell X, Fucà E, Kakei S, Lee J, Manto M, Petrosini L, Shaikh AG, Schmahmann JD. Consensus Paper. Cerebellar Reserve: From Cerebellar Physiology to Cerebellar Disorders. CEREBELLUM (LONDON, ENGLAND) 2020; 19:131-153. [PMID: 31879843 PMCID: PMC6978437 DOI: 10.1007/s12311-019-01091-9] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Cerebellar reserve refers to the capacity of the cerebellum to compensate for tissue damage or loss of function resulting from many different etiologies. When the inciting event produces acute focal damage (e.g., stroke, trauma), impaired cerebellar function may be compensated for by other cerebellar areas or by extracerebellar structures (i.e., structural cerebellar reserve). In contrast, when pathological changes compromise cerebellar neuronal integrity gradually leading to cell death (e.g., metabolic and immune-mediated cerebellar ataxias, neurodegenerative ataxias), it is possible that the affected area itself can compensate for the slowly evolving cerebellar lesion (i.e., functional cerebellar reserve). Here, we examine cerebellar reserve from the perspective of the three cornerstones of clinical ataxiology: control of ocular movements, coordination of voluntary axial and appendicular movements, and cognitive functions. Current evidence indicates that cerebellar reserve is potentiated by environmental enrichment through the mechanisms of autophagy and synaptogenesis, suggesting that cerebellar reserve is not rigid or fixed, but exhibits plasticity potentiated by experience. These conclusions have therapeutic implications. During the period when cerebellar reserve is preserved, treatments should be directed at stopping disease progression and/or limiting the pathological process. Simultaneously, cerebellar reserve may be potentiated using multiple approaches. Potentiation of cerebellar reserve may lead to compensation and restoration of function in the setting of cerebellar diseases, and also in disorders primarily of the cerebral hemispheres by enhancing cerebellar mechanisms of action. It therefore appears that cerebellar reserve, and the underlying plasticity of cerebellar microcircuitry that enables it, may be of critical neurobiological importance to a wide range of neurological/neuropsychiatric conditions.
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Affiliation(s)
- H Mitoma
- Medical Education Promotion Center, Tokyo Medical University, Tokyo, Japan.
| | - A Buffo
- Department of Neuroscience Rita Levi-Montalcini, University of Turin, 10126, Turin, Italy
- Neuroscience Institute Cavalieri Ottolenghi, 10043, Orbassano, Italy
| | - F Gelfo
- Department of Human Sciences, Guglielmo Marconi University, 00193, Rome, Italy
- IRCCS Fondazione Santa Lucia, 00179, Rome, Italy
| | - X Guell
- Department of Neurology, Massachusetts General Hospital, Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Harvard Medical School, Boston, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, USA
| | - E Fucà
- Department of Neuroscience Rita Levi-Montalcini, University of Turin, 10126, Turin, Italy
- Neuroscience Institute Cavalieri Ottolenghi, 10043, Orbassano, Italy
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children's Hospital, 00165, Rome, Italy
| | - S Kakei
- Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - J Lee
- Komatsu University, Komatsu, Japan
| | - M Manto
- Unité des Ataxies Cérébelleuses, Service de Neurologie, CHU-Charleroi, 6000, Charleroi, Belgium
- Service des Neurosciences, University of Mons, 7000, Mons, Belgium
| | - L Petrosini
- IRCCS Fondazione Santa Lucia, 00179, Rome, Italy
| | - A G Shaikh
- Louis Stokes Cleveland VA Medical Center, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - J D Schmahmann
- Department of Neurology, Massachusetts General Hospital, Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Harvard Medical School, Boston, USA
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13
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Rechtman E, Puget S, Saitovitch A, Lemaitre H, Fillion L, Tacchella JM, Boisgontier J, Cuny ML, Boddaert N, Zilbovicius M. Posterior Fossa Arachnoid Cyst in a Pediatric Population is Associated with Social Perception and Rest Cerebral Blood Flow Abnormalities. THE CEREBELLUM 2019; 19:58-67. [PMID: 31732920 DOI: 10.1007/s12311-019-01082-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Posterior fossa arachnoid cysts (PFAC) may produce not only neurological symptoms but also other symptoms still poorly understood such as behavioral and learning deficits, awkwardness, and difficulties in social interaction. These subtle social impairments have not been formally described and their underlying brain mechanisms remain unknown. In the present case-control study, we aimed to empirically characterize social impairments in a pediatric population with PFAC using eye tracking. In addition, we investigated putative functional cortical abnormalities in these children using arterial spin labeling magnetic resonance imaging. Overall, 15 patients with PFAC (3f, age = 9.4 ± 4 years) and 43 typically developing volunteer children (16f, age = 9.3 ± 3.6 years) were enrolled in this study. Eye tracking was used to record gaze patterns during visualization of social interaction scenes. Viewing times to faces of characters and non-social background were analyzed. A voxel-wise whole-brain analysis was performed to investigate rest cerebral blood flow (CBF) abnormalities. Significantly reduced viewing time to faces was observed in patients compared with controls (p < 0.01). A ROC curve analysis revealed that 30% of PFAC patients presented viewing time to the face lower than the cutoff, while none of the controls did. The whole-brain analysis revealed a significant decrease in rest CBF in PFAC patients compared with controls bilaterally in the superior temporal gyrus and the temporoparietal junction (TPJ) (p < 0.05 FWE). These results suggest that early life PFAC may have an impact on functional activity of the temporal lobe, which could be associated with social perception deficits.
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Affiliation(s)
- Elza Rechtman
- INSERM U1000, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Institut Imagine and UMR 1163, Paris, France. .,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, One Gustave Levy Place, Box 1057, New York, NY, 10029, USA.
| | - Stephanie Puget
- Department of Pediatric Neurosurgery, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Pres Sorbonne Paris Cité, Paris, France
| | - Ana Saitovitch
- INSERM U1000, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Institut Imagine and UMR 1163, Paris, France
| | - Hervé Lemaitre
- INSERM U1000, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Institut Imagine and UMR 1163, Paris, France.,Faculté De Médecine, Université Paris-Sud, Orsay, France
| | - Ludovic Fillion
- INSERM U1000, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Institut Imagine and UMR 1163, Paris, France
| | - Jean-Marc Tacchella
- INSERM U1000, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Institut Imagine and UMR 1163, Paris, France
| | - Jennifer Boisgontier
- INSERM U1000, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Institut Imagine and UMR 1163, Paris, France
| | - Marie-Laure Cuny
- Department of Pediatric Neurosurgery, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Pres Sorbonne Paris Cité, Paris, France.,Laboratory of Memory and Cognition, Institute of Psychology, University Paris Descartes, Sorbonne Paris Cité, Paris, France.,CESP, University Paris-Sud, UVSQ, INSERM 1018, University Paris-Saclay, Paris, France
| | - Nathalie Boddaert
- INSERM U1000, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Institut Imagine and UMR 1163, Paris, France
| | - Monica Zilbovicius
- INSERM U1000, Department of Pediatric Radiology, Hôpital Necker Enfants Malades, AP-HP, University René Descartes, Institut Imagine and UMR 1163, Paris, France
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