1
|
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.
Collapse
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.
| |
Collapse
|
2
|
Xuan X, Zheng G, Zhu W, Sun Q, Zeng Y, Du J, Huang X. Alterations in regional homogeneity and functional connectivity in the cerebellum of patients with sporadic amyotrophic lateral sclerosis. Behav Brain Res 2024; 458:114749. [PMID: 37931706 DOI: 10.1016/j.bbr.2023.114749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 10/23/2023] [Accepted: 11/03/2023] [Indexed: 11/08/2023]
Abstract
OBJECTIVE The purpose of this study was to examine the cerebellum's local and global functional characteristics in individuals with sporadic amyotrophic lateral sclerosis (sALS) and their correlation with clinical data. METHODS Resting-state functional magnetic resonance imaging was performed on 39 patients with sALS and on 23 healthy controls. Regional homogeneity (ReHo) in the cerebellum of all participants was analyzed, and the cerebellar regions with differences in ReHo were considered regions of interest (ROIs). In addition, the functional connectivity between the ROIs and other brain regions was analyzed. RESULTS In patients with sALS, ReHo increased in parts of the posterior cerebellar lobe. Then, the two regions with increased ReHo of the cerebellum were used as seeds, and further analysis revealed that the connectivity of the right cerebellum to the right medial superior frontal gyrus, left lingual gyrus (calcarine sulcus), left precentral gyrus, left supplementary motor area, and right Crus II was significantly increased. CONCLUSION The results demonstrate that resting-state functional connectivity changes in both motor and extra-motor regions of the cerebellum in patients with sALS, and that the cerebellum plays a pathophysiological role in sALS.
Collapse
Affiliation(s)
- Xuan Xuan
- Medical School of Chinese PLA, Beijing, China; Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing 100853, China; Department of Neurology, Strategic Support Force Medical Center, Beijing, China
| | - Guangling Zheng
- Department of Radiology, Southwest Hospital, Third Military Medical University, Army Medical University, Chongqing, China
| | - Wenjia Zhu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qionghua Sun
- Department of Geriatrics of the Seventh Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yawei Zeng
- Department of Radiology, Strategic Support Force Medical Center, Beijing, China
| | - Juan Du
- Department of Neurology, Strategic Support Force Medical Center, Beijing, China.
| | - Xusheng Huang
- Medical School of Chinese PLA, Beijing, China; Department of Neurology, The First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing 100853, China.
| |
Collapse
|
3
|
Zhang P, Duan L, Ou Y, Ling Q, Cao L, Qian H, Zhang J, Wang J, Yuan X. The cerebellum and cognitive neural networks. Front Hum Neurosci 2023; 17:1197459. [PMID: 37576472 PMCID: PMC10416251 DOI: 10.3389/fnhum.2023.1197459] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/11/2023] [Indexed: 08/15/2023] Open
Abstract
Cognitive function represents a complex neurophysiological capacity of the human brain, encompassing a higher level of neural processing and integration. It is widely acknowledged that the cerebrum plays a commanding role in the regulation of cognitive functions. However, the specific role of the cerebellum in cognitive processes has become a subject of considerable scholarly intrigue. In 1998, Schmahmann first proposed the concept of "cognitive affective syndrome (CCAS)," linking cerebellar damage to cognitive and emotional impairments. Since then, a substantial body of literature has emerged, exploring the role of the cerebellum in cognitive neurological function. The cerebellum's adjacency to the cerebral cortex, brainstem, and spinal cord suggests that the cerebral-cerebellar network loops play a crucial role in the cerebellum's participation in cognitive neurological functions. In this review, we comprehensively examine the recent literature on the involvement of the cerebellum in cognitive functions from three perspectives: the cytological basis of the cerebellum and its anatomical functions, the cerebellum and cognitive functions, and Crossed cerebellar diaschisis. Our aim is to shed light on the role and mechanisms of the cerebellum in cognitive neurobrain networks.
Collapse
Affiliation(s)
- Pingshu Zhang
- Department of Neurology, Kailuan General Hospital, North China University of Technology, Tangshan, Hebei, China
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| | - Liqin Duan
- Department of Neurology, Kailuan General Hospital, North China University of Technology, Tangshan, Hebei, China
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| | - Ya Ou
- Department of Neurology, Kailuan General Hospital, North China University of Technology, Tangshan, Hebei, China
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| | - Qirong Ling
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| | - Lingyun Cao
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| | - Hongchun Qian
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| | - Jian Zhang
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| | - Jing Wang
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| | - Xiaodong Yuan
- Department of Neurology, Kailuan General Hospital, North China University of Technology, Tangshan, Hebei, China
- Key Laboratory of Neurobiological Function in Hebei Province, Tangshan, Hebei, China
| |
Collapse
|
4
|
Hu J, Chen X, Li M, Xu HL, Huang Z, Chen N, Tu Y, Chen Q, Gan S, Cao D. Pattern of cerebellar grey matter loss associated with ataxia severity in spinocerebellar ataxias type 3: a multi-voxel pattern analysis. Brain Imaging Behav 2021; 16:379-388. [PMID: 34417969 DOI: 10.1007/s11682-021-00511-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2021] [Indexed: 01/08/2023]
Abstract
Spinocerebellar ataxias type 3 (SCA3) patients are clinically characterized by progressive cerebellar ataxia combined with degeneration of the cerebellum. Previous neuroimaging studies have indicated ataxia severity associated with cerebellar atrophy using univariate methods. However, whether cerebellar atrophy patterns can be used to quantitatively predict ataxia severity in SCA3 patients at the individual level remains largely unexplored. In this study, a group of 66 SCA3 patients and 58 healthy controls were included. Disease duration and ataxia assessment, including the Scale for the Assessment and Rating of Ataxia (SARA) and the International Cooperative Ataxia Rating Scale (ICARS), were collected for SCA3 patients. The high-resolution T1-weighted MRI was obtained, and cerebellar grey matter (GM) was extracted using a spatially unbiased infratentorial template toolbox for all participants. We investigated the association between the pattern of cerebellar grey matter (GM) loss and ataxia assessment in SCA3 by using a multivariate machine learning technique. We found that the application of RVR allowed quantitative prediction of both SARA scores (leave-one-subject-out cross-validation: correlation = 0.56, p-value = 0.001; mean squared error (MSE) = 20.51, p-value = 0.001; ten-fold cross-validation: correlation = 0.52, p-value = 0.001; MSE = 21.00, p-value = 0.001) and ICARS score (leave-one-subject-out cross-validation: correlation = 0.59, p-value = 0.001; MSE = 139.69, p-value = 0.001; ten-fold cross-validation: correlation = 0.57, p-value = 0.001; MSE = 145.371, p-value = 0.001) with statistically significant accuracy. These results provide proof-of-concept that ataxia severity in SCA3 patients can be predicted by the alteration pattern of cerebellar GM using multi-voxel pattern analysis.
Collapse
Affiliation(s)
- Jianping Hu
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Fuzhou, Fujian, 350005, People's Republic of China
| | - Xinyuan Chen
- Department of Rehabilitation, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, People's Republic of China
| | - Mengcheng Li
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Fuzhou, Fujian, 350005, People's Republic of China
| | - Hao-Ling Xu
- Department of Neurology, 900TH Hospital of Joint Logistics Support Force, Fuzhou, China
| | - Ziqiang Huang
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Fuzhou, Fujian, 350005, People's Republic of China
| | - Naping Chen
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Fuzhou, Fujian, 350005, People's Republic of China
| | - Yuqing Tu
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Fuzhou, Fujian, 350005, People's Republic of China
| | - Qunlin Chen
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Fuzhou, Fujian, 350005, People's Republic of China
| | - Shirui Gan
- Department of Neurology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, 350005, People's Republic of China. .,Fujian Institute of Neurology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
| | - Dairong Cao
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, 20 ChaZhong Rd, Fuzhou, Fujian, 350005, People's Republic of China. .,Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China. .,Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, the First Affiliated Hospital, Fujian Medical University, 20 ChaZhong Rd, Fuzhou, 350005, Fujian, China.
| |
Collapse
|
5
|
Abstract
Human brain atlases have been evolving tremendously, propelled recently by brain big projects, and driven by sophisticated imaging techniques, advanced brain mapping methods, vast data, analytical strategies, and powerful computing. We overview here this evolution in four categories: content, applications, functionality, and availability, in contrast to other works limited mostly to content. Four atlas generations are distinguished: early cortical maps, print stereotactic atlases, early digital atlases, and advanced brain atlas platforms, and 5 avenues in electronic atlases spanning the last two generations. Content-wise, new electronic atlases are categorized into eight groups considering their scope, parcellation, modality, plurality, scale, ethnicity, abnormality, and a mixture of them. Atlas content developments in these groups are heading in 23 various directions. Application-wise, we overview atlases in neuroeducation, research, and clinics, including stereotactic and functional neurosurgery, neuroradiology, neurology, and stroke. Functionality-wise, tools and functionalities are addressed for atlas creation, navigation, individualization, enabling operations, and application-specific. Availability is discussed in media and platforms, ranging from mobile solutions to leading-edge supercomputers, with three accessibility levels. The major application-wise shift has been from research to clinical practice, particularly in stereotactic and functional neurosurgery, although clinical applications are still lagging behind the atlas content progress. Atlas functionality also has been relatively neglected until recently, as the management of brain data explosion requires powerful tools. We suggest that the future human brain atlas-related research and development activities shall be founded on and benefit from a standard framework containing the core virtual brain model cum the brain atlas platform general architecture.
Collapse
Affiliation(s)
- Wieslaw L Nowinski
- John Paul II Center for Virtual Anatomy and Surgical Simulation, University of Cardinal Stefan Wyszynski, Woycickiego 1/3, Block 12, room 1220, 01-938, Warsaw, Poland.
| |
Collapse
|