Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease

Yang, Zhen; Ye, Chuyang; Bogovic, John A.; Carass, Aaron; Jedynak, Bruno; Ying, Sarah H.; Prince, Jerry L.

doi:10.1016/j.neuroimage.2015.09.032

Cited by 42 publications

(28 citation statements)

References 45 publications

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“…The functional topography of the cerebellum has been well established by both functional and structural studies in healthy and clinical populations [21,24,[40][41][42][43][44][45]. A detailed mapping of motor and cognitive dysfunctions linking to specific cerebellar lobules has been proposed in a large cohort of patients with mixed subtypes of cerebellar neurodegenerative disease [45] using the automated cerebellar lobular segmentation proposed by Yang and colleagues (2016) [46].…”

Section: Discussionmentioning

confidence: 99%

Structural cerebellar correlates of cognitive functions in spinocerebellar ataxia type 2

et al. 2018

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Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disease involving the cerebellum and characterized by a typical motor syndrome. In addition, the presence of cognitive impairment is now widely acknowledged as a feature of SCA2. Given the extensive connections between the cerebellum and associative cerebral areas, it is reasonable to hypothesize that cerebellar neurodegeneration associated with SCA2 may impact on the cerebellar modulation of the cerebral cortex, thus resulting in functional impairment. The aim of the present study was to investigate and quantitatively map the pattern of cerebellar gray matter (GM) atrophy due to SCA2 neurodegeneration and to correlate that with patients' cognitive performances. Cerebellar GM maps were extracted and compared between SCA2 patients (n = 9) and controls (n = 33) by using voxel-based morphometry. Furthermore, the relationship between cerebellar GM atrophy and neuropsychological scores of the patients was assessed. Specific cerebellar GM regions were found to be affected in patients. Additionally, GM loss in cognitive posterior lobules (VI, Crus I, Crus II, VIIB, IX) correlated with visuospatial, verbal memory and executive tasks, while additional correlations with motor anterior (V) and posterior (VIIIA, VIIIB) lobules were found for the tasks engaging motor and planning components. Our results provide evidence that the SCA2 neurodegenerative process affects the cerebellar cortex and that MRI indices of atrophy in different cerebellar subregions may account for the specificity of cognitive symptomatology observed in patients, as result of a cerebello-cerebral dysregulation.

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Section: Discussionmentioning

confidence: 99%

Structural cerebellar correlates of cognitive functions in spinocerebellar ataxia type 2

et al. 2018

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“…Freesurfer v5.3.0 was applied to the skull stripped MRI to segment the cerebellum. This label map was further refined using the cerebellar lobule segmentation tool, which parcellated the cerebellum into the corpus medullare and 21 cerebellar lobules according to an atlas . The segmentation accuracy associated with cerebellar gray matter was greatly affected by low‐intensity contrast of the images .…”

Section: Methodsmentioning

confidence: 99%

Accelerated aging and motor control deficits are related to regional deformation of central cerebellar white matter in alcohol use disorder

et al. 2019

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The World Health Organization estimates a 12-month prevalence rate of 8+% for an alcohol use disorder (AUD) diagnosis in people age 15 years and older in the United States and Europe, presenting significant health risks that have the potential of accelerating age-related functional decline. According to neuropathological studies, white matter systems of the cerebellum are vulnerable to chronic alcohol dependence. To pursue the effect of AUD on white matter structure and functions in vivo, this study used T1-weighted, magnetic resonance imaging (MRI) to quantify the total corpus medullare of the cerebellum and a finely grained analysis of its surface in 135 men and women with AUD (mean duration of abstinence, 248 d) and 128 age-and sexmatched control participants; subsets of these participants completed motor testing.We identified an AUD-related volume deficit and accelerated aging in the total corpus medullare. Novel deformation-based surface morphometry revealed regional shrinkage of surfaces adjacent to lobules I-V, lobule IX, and vermian lobule X. In addition, accelerated aging was detected in the regional surface areas adjacent to lobules I-V, lobule VI, lobule VIIB, and lobules VIII, IX, and X. Sex differences were not identified for any measure. For both volume-based and surface-based analyses, poorer performance in gait and balance, manual dexterity, and grip strength were linked to greater regional white matter structural deficits. Our results suggest that local deformation of the corpus medullare has the potential of identifying structurally and functionally segregated networks affected in AUD.

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“…The cerebellum was segmented from the MR image and parcellated into 22 cerebellar sub-structures defined in Sec. 2.1, using the method proposed in Yang et al (2013) 15 . A dense triangulation of the boundary surface of each lobule was generated by the marching cubes algorithm 16 .…”

Section: Methodsmentioning

confidence: 99%

Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization

et al. 2016

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Cerebellar dysfunction can lead to a wide range of movement disorders. Studying the cerebellar atrophy pattern associated with different cerebellar disease types can potentially help in diagnosis, prognosis, and treatment planning. In this paper, we present a landmark based shape analysis pipeline to classify healthy control and different ataxia types and to visualize the characteristic cerebellar atrophy patterns associated with different types. A highly informative feature representation of the cerebellar structure is constructed by extracting dense homologous landmarks on the boundary surfaces of cerebellar sub-structures. A diagnosis group classifier based on this representation is built using partial least square dimension reduction and regularized linear discriminant analysis. The characteristic atrophy pattern for an ataxia type is visualized by sampling along the discriminant direction between healthy controls and the ataxia type. Experimental results show that the proposed method can successfully classify healthy controls and different ataxia types. The visualized cerebellar atrophy patterns were consistent with the regional volume decreases observed in previous studies, but the proposed method provides intuitive and detailed understanding about changes of overall size and shape of the cerebellum, as well as that of individual lobules.

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Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease

Cited by 42 publications

References 45 publications

Structural cerebellar correlates of cognitive functions in spinocerebellar ataxia type 2

Structural cerebellar correlates of cognitive functions in spinocerebellar ataxia type 2

Accelerated aging and motor control deficits are related to regional deformation of central cerebellar white matter in alcohol use disorder

Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization

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