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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] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [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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Harmata GIS, Barsotti EJ, Casten LG, Fiedorowicz JG, Williams A, Shaffer JJ, Richards JG, Sathyaputri L, Schmitz SL, Christensen GE, Long JD, Gaine ME, Xu J, Michaelson JJ, Wemmie JA, Magnotta VA. Cerebellar morphological differences and associations with extrinsic factors in bipolar disorder type I. J Affect Disord 2023; 340:269-279. [PMID: 37562560 PMCID: PMC10529949 DOI: 10.1016/j.jad.2023.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 07/18/2023] [Accepted: 08/03/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND The neural underpinnings of bipolar disorder (BD) remain poorly understood. The cerebellum is ideally positioned to modulate emotional regulation circuitry yet has been understudied in BD. Literature suggests differences in cerebellar activity and metabolism in BD, however findings on structural differences remain contradictory. Potential reasons include combining BD subtypes, small sample sizes, and potential moderators such as genetics, adverse childhood experiences (ACEs), and pharmacotherapy. METHODS We collected 3 T MRI scans from participants with (N = 131) and without (N = 81) BD type I, as well as blood and questionnaires. We assessed differences in cerebellar volumes and explored potentially influential factors. RESULTS The cerebellar cortex was smaller bilaterally in participants with BD. Polygenic propensity score did not predict any cerebellar volumes, suggesting that non-genetic factors may have greater influence on the cerebellar volume difference we observed in BD. Proportionate cerebellar white matter volumes appeared larger with more ACEs, but this may result from reduced ICV. Time from onset and symptom burden were not associated with cerebellar volumes. Finally, taking sedatives was associated with larger cerebellar white matter and non-significantly larger cortical volume. LIMITATIONS This study was cross-sectional, limiting interpretation of possible mechanisms. Most of our participants were White, which could limit the generalizability. Additionally, we did not account for potential polypharmacy interactions. CONCLUSIONS These findings suggest that external factors, such as sedatives and childhood experiences, may influence cerebellum structure in BD and may mask underlying differences. Accounting for such variables may be critical for consistent findings in future studies.
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Affiliation(s)
- Gail I S Harmata
- Department of Psychiatry, The University of Iowa, United States; Iowa Neuroscience Institute, The University of Iowa, United States; Department of Radiology, The University of Iowa, United States
| | - Ercole John Barsotti
- Department of Psychiatry, The University of Iowa, United States; Department of Epidemiology, The University of Iowa, United States
| | - Lucas G Casten
- Department of Psychiatry, The University of Iowa, United States; Interdisciplinary Graduate Program in Genetics, The University of Iowa, United States
| | - Jess G Fiedorowicz
- Department of Psychiatry, The University of Iowa, United States; Iowa Neuroscience Institute, The University of Iowa, United States; Department of Psychiatry, University of Ottawa, Canada
| | - Aislinn Williams
- Department of Psychiatry, The University of Iowa, United States; Iowa Neuroscience Institute, The University of Iowa, United States
| | - Joseph J Shaffer
- Department of Psychiatry, The University of Iowa, United States; Iowa Neuroscience Institute, The University of Iowa, United States; Department of Radiology, The University of Iowa, United States; Department of Biosciences, Kansas City University, United States
| | | | | | | | - Gary E Christensen
- Department of Electrical and Computer Engineering, The University of Iowa, United States; Department of Radiation Oncology, The University of Iowa, United States
| | - Jeffrey D Long
- Department of Psychiatry, The University of Iowa, United States; Department of Biostatistics, The University of Iowa, United States
| | - Marie E Gaine
- Department of Psychiatry, The University of Iowa, United States; Iowa Neuroscience Institute, The University of Iowa, United States; Department of Pharmaceutical Sciences and Experimental Therapeutics (PSET), College of Pharmacy, The University of Iowa, United States
| | - Jia Xu
- Department of Radiology, The University of Iowa, United States
| | - Jake J Michaelson
- Department of Psychiatry, The University of Iowa, United States; Iowa Neuroscience Institute, The University of Iowa, United States; Interdisciplinary Graduate Program in Genetics, The University of Iowa, United States
| | - John A Wemmie
- Department of Psychiatry, The University of Iowa, United States; Iowa Neuroscience Institute, The University of Iowa, United States; Department of Molecular Physiology and Biophysics, The University of Iowa, United States; Department of Neurosurgery, The University of Iowa, United States; Veterans Affairs Medical Center, Iowa City, United States
| | - Vincent A Magnotta
- Department of Psychiatry, The University of Iowa, United States; Iowa Neuroscience Institute, The University of Iowa, United States; Department of Radiology, The University of Iowa, United States; Department of Biomedical Engineering, The University of Iowa, United States.
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Chen Z, He C, Zhang P, Cai X, Huang W, Chen X, Xu M, Wang L, Zhang Y. Abnormal cerebellum connectivity patterns related to motor subtypes of Parkinson's disease. J Neural Transm (Vienna) 2023; 130:549-560. [PMID: 36859555 PMCID: PMC10050038 DOI: 10.1007/s00702-023-02606-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/14/2023] [Indexed: 03/03/2023]
Abstract
Cerebellar dysfunction may substantially contribute to the clinical symptoms of Parkinson's disease (PD). The role of cerebellar subregions in tremors and gait disturbances in PD remains unknown. To investigate alterations in cerebellar subregion volumes and functional connectivity (FC), as well as FC between the dentate nucleus (DN) and ventral lateral posterior nucleus (VLp) of the thalamus, which are potentially involved in different PD motor subtypes. We conducted morphometric and resting-state functional connectivity analyses in various cerebellar subregions in 22 tremor-dominant (TD)-PD and 35 postural instability gait difficulty dominant (PIGD)-PD patients and 38 sex- and age-matched healthy controls (HCs). The volume and FC alterations in various cerebellar subregions and the neural correlates of these changes with the clinical severity scores were investigated. The PIGD-PD group showed greater FC between the right motor cerebellum (CBMm) and left postcentral gyrus than the HC group, and a higher FC was associated with less severe PIGD symptoms. In contrast, the TD-PD group had decreased FC between the right DN and left VLp compared with the PIGD-PD and HC groups, and lower FC was associated with worse TD symptoms. Furthermore, the PIGD-PD group had higher FC between the left DN and left inferior temporal gyrus than the TD-PD group. Morphometric analysis revealed that the TD-PD group showed a significantly higher volume of left CBMm than the HC group. Our findings point to differential alteration patterns in cerebellar subregions and offer a new perspective on the pathophysiology of motor subtypes of PD.
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Affiliation(s)
- Zhenzhen Chen
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China.,Department of Neurology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.,Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Chentao He
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China.,Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Piao Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China.,Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Xin Cai
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
| | - Wenlin Huang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
| | - Xi Chen
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China
| | - Mingze Xu
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100190, China
| | - Lijuan Wang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China.,Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yuhu Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, China. .,Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. .,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
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Kim J, Cho H, Kim J, Kim A, Kang Y, Kang W, Choi KW, Ham BJ, Han KM, Tae WS. Changes in cortical thickness and volume of cerebellar subregions in patients with bipolar disorders. J Affect Disord 2020; 271:74-80. [PMID: 32479334 DOI: 10.1016/j.jad.2020.03.087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Revised: 01/26/2020] [Accepted: 03/25/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Numerous studies have suggested that structural changes in the cerebellum are implicated in the pathophysiology of bipolar disorder (BD). We aimed to investigate differences in the volume and cortical thickness of the cerebellar subregions between patients with BD and healthy controls (HCs). METHODS Ninety patients with BD and one hundred sixty-six HCs participated in this study and underwent T1-weighted structural magnetic resonance imaging. We analyzed the volume and cortical thickness of each cerebellar hemisphere divided into 12 subregions using T1-weighted images of participants. One-way analysis of covariance was used to evaluate differences between the groups, with age, sex, medication, and total intracranial cavity volume used as covariates. RESULTS The BD group had significantly increased cortical thickness of the cerebellum in all cerebellar subregions compared to the HC group. The cortical thicknesses of the whole cerebellum and each hemisphere were also significantly thicker in the BD group than in the HC group. The volume of the left lobule IX was significantly lower in patients with BD than in HCs, whereas no significant differences in the volumes were observed in the other subregions. LIMITATIONS Our cross-sectional design cannot provide a causal relationship between the increased cortical thickness of the cerebellum and the risk of BD. CONCLUSIONS We observed widespread and significant cortical thickening in all the cerebellar subregions. Our results provide evidence for the involvement of the cerebellum in BD. Further studies are required to integrate neurobiological evidence and structural brain imaging to elucidate the pathophysiology of BD.
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Affiliation(s)
- Jooyeon Kim
- Department of Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Heejoon Cho
- Department of Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jinha Kim
- Department of Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kwan Woo Choi
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea; Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea.
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Jin L, Lv W, Han G, Ni L, Sun D, Hu X, Cai H. Gait characteristics and clinical relevance of hereditary spinocerebellar ataxia on deep learning. Artif Intell Med 2020; 103:101794. [PMID: 32143799 DOI: 10.1016/j.artmed.2020.101794] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 11/22/2019] [Accepted: 01/03/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Deep learning has always been at the forefront of scientific research. It has also been applied to medical research. Hereditary spinocerebellar ataxia (SCA) is characterized by gait abnormalities and is usually evaluated semi-quantitatively by scales. However, more detailed gait characteristics of SCA and related objective methods have not yet been established. Therefore, the purpose of this study was to evaluate the gait characteristics of SCA patients, as well as to analyze the correlation between gait parameters, clinical scales, and imaging on deep learning. METHODS Twenty SCA patients diagnosed by genetic detection were included in the study. Ten patients who were tested via functional magnetic resonance imaging (fMRI) were included in the SCA imaging subgroup. All SCA patients were evaluated with the International Cooperative Ataxia Rating Scale (ICARS) and Scale for the Assessment and Rating of Ataxia (SARA) clinical scales. The gait control group included 16 healthy subjects, and the imaging control group included seven healthy subjects. Gait data consisting of 10 m of free walking of each individual in the SCA group and the gait control group were detected by wearable gait-detection equipment. Stride length, stride time, velocity, supporting-phase percentage, and swinging-phase percentage were extracted as gait parameters. Cerebellar volume and the midsagittal cerebellar proportion in the posterior fossa (MRVD) were calculated according to MR. RESULTS There were significant differences in stride length, velocity, supporting-phase percentage, and swinging-phase percentage between the SCA group and the gait control group. The stride length and stride velocity of SCA groups were lower while supporting phase was longer than those of the gait control group. SCA group's velocity was negatively correlated with both the ICARS and SARA scores. The cerebellar volume and MRVD of the SCA imaging subgroup were significantly smaller than those of the imaging control group. MRVD was significantly correlated with ICARS and SARA scores, as well as stride velocity variability. CONCLUSION SCA gait parameters were characterized by a reduced stride length, slower walking velocity, and longer supporting phase. Additionally, a smaller cerebellar volume correlated with an increased irregularity in gait. Gait characteristics exhibited considerable clinical relevance to hereditary SCA. We conclude that a combination of gait parameters, ataxia scales, and MRVD may represent more objective markers for clinical evaluations of SCA.
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Affiliation(s)
- Luya Jin
- Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Wen Lv
- Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Guocan Han
- Department of Radiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Linhui Ni
- Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Di Sun
- Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Xingyue Hu
- Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Huaying Cai
- Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China.
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Sasaki R, Maki F, Hara D, Tanaka S, Hasegawa Y. Stratification of disease progression in a broad spectrum of degenerative cerebellar ataxias with a clustering method using MRI-based atrophy rates of brain structures. Cerebellum Ataxias 2017; 4:9. [PMID: 28680650 PMCID: PMC5492905 DOI: 10.1186/s40673-017-0068-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 06/21/2017] [Indexed: 01/09/2023]
Abstract
BACKGROUND The rate of disease progression differs among patients with degenerative cerebellar ataxia. The uncertain natural course in individual patients hinders clinical trials of promising treatments. In this study, we analyzed atrophy changes in brain structures with cluster analysis to find sub-groups of patients with homogenous symptom progression in a broad spectrum of degenerative cerebellar ataxias. METHODS We examined 48 patients including 21 cases of spinocerebellar ataxia (SCA), 17 cases of the cerebellar type of multiple system atrophy (MSA-C), and 10 cases of cortical cerebellar ataxia (CCA). In all patients, at least two sets of evaluations including magnetic resonance imaging (MRI) and the International Cooperative Ataxia Rating Scale (ICARS) scoring were performed. The median number (min-max) of follow-up studies in each patient was three (2-6), and the mean follow-up period was 3.1 ± 1.6 years. The area of the corpus callosum on midsagittal images and the cerebellar volume were measured using MRI, and these values were divided by the cranial antero-posterior diameter of each patient to correct for individual head size differences as an area index (Adx) and a volume index (Vdx), respectively. The annual changes in Adx, Vdx, and ICARS score were calculated in each patient, and atrophy patterns in patients were categorized with cluster analysis. RESULTS The annual atrophy rates for the corpus callosum (Adx) and cerebellum (Vdx) and symptom progression differed significantly by subtype of cerebellar ataxia (p = 0.026, 0.019, and 0.021, respectively). However, neither the annual atrophy rate of Adx nor Vdx was significantly correlated with the annual increase in the ICARS score. When the patients were categorized into three clusters based on the annual changes in Adx and Vdx, the annual increase in the ICARS score was significantly different among clusters (2.9 ± 1.7/year in Cluster 1, 4.8 ± 3.2/year in Cluster 2, and 8.7 ± 6.1/year in Cluster 3; p = 0.014). CONCLUSIONS The annual increase in the ICARS score can be stratified by cluster analysis based on the atrophy rates of the corpus callosum and cerebellum. Further studies are warranted to explore whether these simple MRI methods could be used for random allocation of a broad spectrum of patients with degenerative cerebellar ataxia in clinical trials.
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Affiliation(s)
- Rie Sasaki
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
| | - Futaba Maki
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
| | - Daisuke Hara
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
| | - Shigeaki Tanaka
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
| | - Yasuhiro Hasegawa
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
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Depping MS, Nolte HM, Hirjak D, Palm E, Hofer S, Stieltjes B, Maier-Hein K, Sambataro F, Wolf RC, Thomann PA. Cerebellar volume change in response to electroconvulsive therapy in patients with major depression. Prog Neuropsychopharmacol Biol Psychiatry 2017; 73:31-5. [PMID: 27665684 DOI: 10.1016/j.pnpbp.2016.09.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 09/12/2016] [Accepted: 09/21/2016] [Indexed: 01/31/2023]
Abstract
Electroconvulsive therapy (ECT) is remarkably effective in severe major depressive disorder (MDD). Growing evidence has accumulated for brain structural and functional changes in response to ECT, primarily within cortico-limbic regions that have been considered in current neurobiological models of MDD. Despite increasing evidence for important cerebellar contributions to affective, cognitive and attentional processes, investigations on cerebellar effects of ECT in depression are yet lacking. In this study, using cerebellum-optimized voxel-based analysis methods, we investigated cerebellar volume in 12 MDD patients who received right-sided unilateral ECT. 16 healthy controls (HC) were included. Structural MRI data was acquired before and after ECT and controls were scanned once. Baseline structural differences in MDD compared to HC were located within the "cognitive cerebellum" and remained unchanged with intervention. ECT led to gray matter volume increase of left cerebellar area VIIa crus I, a region ascribed to the "affective/limbic cerebellum". The effects of ECT on cerebellar structure correlated with overall symptom relief. These findings provide preliminary evidence that structural change of the cerebellum in response to ECT may be related to the treatment's antidepressant effects.
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Hara D, Maki F, Tanaka S, Sasaki R, Hasegawa Y. MRI-based cerebellar volume measurements correlate with the International Cooperative Ataxia Rating Scale score in patients with spinocerebellar degeneration or multiple system atrophy. Cerebellum Ataxias 2016; 3:14. [PMID: 27536377 PMCID: PMC4987966 DOI: 10.1186/s40673-016-0052-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 08/04/2016] [Indexed: 01/23/2023]
Abstract
BACKGROUND Progression of clinical symptoms and cerebellar atrophy may vary among subtypes of spinocerebellar degeneration and multiple system atrophy. The aim of this cross-sectional study was to demonstrate the relationship between the International Cooperative Ataxia Rating Scale (ICARS) score and cerebellar volume derived from magnetic resonance imaging (MRI) in a broad spectrum of Japanese patients with cerebellar ataxia. METHODS A total of 86 patients with cerebellar ataxia (18 with cortical cerebellar atrophy, 34 with spinocerebellar ataxia, and 34 with multiple system atrophy) and 30 healthy subjects were studied. MRI-based cerebellar volume measurements were performed in all subjects using T1-weighted images acquired with a 1.5-T MRI scanner. The cerebellar volume/cranial anteroposterior (AP) diameter was used for statistical analysis. RESULTS Stepwise multiple regression analyses demonstrated that cerebellar volume/cranial AP diameter and midbrain AP/cranial AP diameter were significantly associated with the total score and domain I sub-score of ICARS. We found no interactions between these two anatomical factors in the ICARS total and domain I sub-scores. The main effects of these two predictors were statistically significant both in total and domain I sub-scores (p = 0.001 and 0.022, respectively). CONCLUSIONS Cerebellar volume and midbrain AP diameter normalized to the cranial AP diameter were significantly correlated with the ICARS total and domain I sub-scores. Further longitudinal studies are warranted to explore the role of these MRI biomarkers for predicting disease progression.
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Affiliation(s)
- Daisuke Hara
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
| | - Futaba Maki
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
| | - Shigeaki Tanaka
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
| | - Rie Sasaki
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
| | - Yasuhiro Hasegawa
- Department of Internal Medicine, Division of Neurology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae, Kawasaki, Kanagawa 216-8511 Japan
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