Individualized Cortical Parcellation Based on Diffusion MRI Tractography

Han, Meizhen; Yang, Guoyuan; Li, Hai; Zhou, Sizhong; Xu, Boyan; Jiang, Jun; Men, Weiwei; Ge, Jianqiao; Gong, Gaolang; Liu, Hesheng; Gao, Jia‐Hong

doi:10.1093/cercor/bhz303

Cited by 20 publications

(31 citation statements)

References 50 publications

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“…Recently, Han et al. found that the individual-specific parcels derived from WM tractography at the individual level generated more homogeneous connectivity pattern than the population atlas ( Han et al. 2019 ), suggesting the advantage of the personalized parcellation in characterizing the individual differences.…”

Section: Discussionmentioning

confidence: 99%

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Individualized Thalamic Parcellation Reveals Alterations in Shape and Microstructure of Thalamic Nuclei in Patients with Disorder of Consciousness

Zheng

Tan

Liu

et al. 2021

Cerebral Cortex Communications

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The thalamus plays crucial roles in consciousness generation and information processing. Previous evidence suggests that disorder of consciousness (DOC) caused by severe brain injury, is potentially related to thalamic abnormalities. However, how the morphology and microstructure change in thalamic subfields and thalamocortical fiber pathways in patients with DOC, and the relationships between these changes and the consciousness status remain unclear. Here, we generated the individual-specific thalamic parcellation in 10 DOC patients and 10 healthy controls (HC) via a novel thalamic segmentation framework based on the fiber orientation distribution (FOD) derived from 7-Tesla diffusion MRI, and investigated the shape deformation of thalamic nuclei as well as the microstructural changes associated with thalamic nuclei and thalamocortical pathways in patients with DOC. Enlargement of dorsal posterior nucleus and atrophy of anterior nucleus in the right thalamus were observed in DOC cohort relative to the HCs, and the former was closely linked to the consciousness level of the patients. We also found significant reductions of fiber density, but not fiber bundle cross-section, within several thalamic nuclei and most of the thalamocortical fiber pathways, suggesting that loss of axons might take primary responsibility for the impaired thalamocortical connections in patients with DOC rather than the change in fiber-bundle morphology. Furthermore, the individual-specific thalamic parcellation achieved 80% accuracy in classifying patients at the minimally conscious state from the vegetative state, compared to around 60% accuracy based on group-level parcellations. Our findings provide the first evidence for the shape deformation of thalamic nuclei in DOC patients and the microstructural basis of the disrupted thalamocortical connections.

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Section: Discussionmentioning

confidence: 99%

“…Since individualized segmentation would better characterize individual diversities in development, cognition, and behavior ( Mueller et al. 2013 ; Han et al. 2019 ; Kong et al.…”

Section: Introductionmentioning

confidence: 99%

Individualized Thalamic Parcellation Reveals Alterations in Shape and Microstructure of Thalamic Nuclei in Patients with Disorder of Consciousness

Zheng

Tan

Liu

et al. 2021

Cerebral Cortex Communications

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“…The iterative clustering method can be seen in Supplementary Methods). The original method with the anatomical connectivity was applied on image volume space [30], we adjusted it on individual cortical surface space, details of the method can be seen in Supplementary Methods.…”

Section: B Group-registered and Iterative Clustering Methodsmentioning

confidence: 99%

“…Many studies adopted cortical fingerprint-based (e.g., anatomical and functional connectivity) mappings for individualizing the population atlas to reveal individualspecific variability of cortical areas [13,[25][26][27][28][29][30][31][32][33]. Population atlas priors provide a blueprint of functional and anatomical architectures of the human brain in these mappings to guide individual-specific topography presented by connection fingerprints [13,23,26,[32][33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

“…Population priors should be integrated reliably into the mapping to handle the variations of the connectivity fingerprint as well as to avoid obvious outliers in the individual parcellations. Previous methods have made lots of efforts on the utilization of population priors, such as providing rough spatial locations of cortical areas or the distribution of cortical fingerprints on these locations, or iterating group connection fingerprints [13,26,27,30,37]. For example, Han et al presented well delineation of individualized cerebral cartography by iteratively updating reference anatomical connectivities for each area, and matching them with vertex-level anatomical connectivities to identify individual cortical areas (denoted as iterative clustering (IC) methods) [26,30], but it might present areal outliers far from its group locations when faced with fingerprint noises or population biases on certain small areas.…”

Section: Introductionmentioning

confidence: 99%

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BAI-Net: Individualized Anatomical Cerebral Cartography using Graph Neural Network

Zhang

Cheng

et al. 2021

Preprint

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Individualized human cerebral cartography has drawn considerable attention in neuroscience research. But many challenges remain, mainly due to large cross-subject variations in brain morphology, connectivity, and function. We developed a new tool called brain atlas individualization network (BAI-Net) that automatically parcels individual cerebral cortex into segregated functional areas using structural and diffusion MRIs. The presented method integrates the group priors into the loss function of graph convolution network, and learns the connectivity context of anatomical fingerprints for each area on individual brain graphs. The presented model provides reliable, efficient and explainable individual cortical parcellations across multiple sessions with different scanners. Moreover, it keeps highly group consistence as well as individual-specific variations. Given the reliable inter-subject variabilities from BAI-Net parcellation, their functional connectome showed higher associations with individual behavioral scores in a cognitive battery, compared to the individualized methods. The presented model has potential applications in locating more individual-specific regions in the diagnosis and treatment of neurological disorders, rather than group-registered method in terms of cortical morphology. And its methodology could be applied to individualize many population brain atlases.

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Group‐guided individual functional parcellation of the hippocampus and application to normal aging

Zhang

Cui

et al. 2021

Human Brain Mapping

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Aging is closely associated with cognitive decline affecting attention, memory and executive functions. The hippocampus is the core brain area for human memory, learning, and cognition processing. To delineate the individual functional patterns of hippocampus is pivotal to reveal the neural basis of aging. In this study, we developed a group-guided individual parcellation approach based on semisupervised affinity propagation clustering using the resting-state functional magnetic resonance imaging to identify individual functional subregions of hippocampus and to identify the functional patterns of each subregion during aging. A three-way group parcellation was yielded and was taken as prior information to guide individual parcellation of hippocampus into head, body, and tail in each subject. The superiority of individual parcellation of hippocampus is validated by higher intraregional functional similarities by compared to group-level parcellation results. The individual variations of hippocampus were associated with coactivation patterns of three typical functions of hippocampus. Moreover, the individual functional connectivities of hippocampus subregions with predefined target regions could better predict age than group-level functional connectivities. Our study provides a novel framework for individual brain functional parcellations, which may facilitate the future individual researches for brain cognitions and brain disorders and directing accurate neuromodulation.

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Individualized Cortical Parcellation Based on Diffusion MRI Tractography

Cited by 20 publications

References 50 publications

Individualized Thalamic Parcellation Reveals Alterations in Shape and Microstructure of Thalamic Nuclei in Patients with Disorder of Consciousness

Individualized Thalamic Parcellation Reveals Alterations in Shape and Microstructure of Thalamic Nuclei in Patients with Disorder of Consciousness

BAI-Net: Individualized Anatomical Cerebral Cartography using Graph Neural Network

Group‐guided individual functional parcellation of the hippocampus and application to normal aging

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