An extended Human Connectome Project multimodal parcellation atlas of the human cortex and subcortical areas

Huang, Chu-Chung; Rolls, Edmund T.; Feng, Jianfeng; Lin, Ching-Po

doi:10.1007/s00429-021-02421-6

Cited by 72 publications

(80 citation statements)

References 38 publications

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“…Each map underwent a comprehensive cortical (MMP, 23 ) and subcortical (AAL3, 24,25 ) parcellation. We thus obtained a total of 440 brain parcels per meta-analytic map and extracted mean z scores for each parcel.…”

Section: Meta-analytic Data Thresholding and Parcellationmentioning

confidence: 99%

Unravelling the fabric of the human mind: the brain-cognition space

Pacella

Nozais

Talozzi

et al. 2022

Preprint

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Thirty years of functional neuroimaging have been accumulating a wealth of evidence of the intricate relationship between structure and function. However, potential overlap, independence, granularity of and gaps between functions remain poorly understood at the global level. In this study, we extracted the latent structure of the current brain-cognition knowledge and revealed its organisational structure. This knowledge has been derived from the most comprehensive meta-analytic fMRI database (Neurosynth) that was used to compute a two-dimensional embedding space – the brain-cognition space – capturing the relationship between brain functions as we know it. The structure of the space allowed us to test the degree of logic in the relationship between functions statistically – a rationality index – and to predict the activation pattern of new and still undetermined functions. The organisation and predictive framework defined by the brain-cognition space will foster the investigation of novel functions and guide the exploration of the fabric of human cognition.

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Section: Meta-analytic Data Thresholding and Parcellationmentioning

confidence: 99%

Unravelling the fabric of the human mind: the brain-cognition space

Pacella

Nozais

Talozzi

et al. 2022

Preprint

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“…During the course of conducting this study, and while undergoing peer review, other atlases with more accurate or relevant parcellations to the study’s population were published in different areas of neuroscience( Callaway et al, 2021 ; Doucet et al, 2021 ; Huang et al, 2021 ; Joglekar et al, 2021 ; Lewis et al, 2021 ; Muñoz-Castañeda et al, 2021 ; 2021 ; Syversen et al, 2021 ; Wang et al, 2021 ; Zhu et al, 2021 ). Here, we cautiously propose a question: Are efforts to publish more atlases created with different algorithms or slightly modified parcellations from existing atlases providing any advantages over already existing atlases?…”

Section: Discussionmentioning

confidence: 99%

A framework For brain atlases: Lessons from seizure dynamics

et al. 2022

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“…The HCP-MM1 (Glasser) atlas provides a multi-modal, data-driven parcellation based on consensus between measures of architecture, function, connectivity, and topography 3 . It has been applied successfully in many studies, including in the analysis of structural connectivity in specific white matter tracts 34 , 35 , as a cortical prior for the creation of new atlases 36 , and for localizing and assessing connectomic data 37 . It is an excellent parcellation for localizing data according to robust, biologically defined parcels.…”

Section: Discussionmentioning

confidence: 99%

High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter

McGrath

Zaveri

Jafar

et al. 2022

Sci Rep

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Precise cortical brain localization presents an important challenge in the literature. Brain atlases provide data-guided parcellation based on functional and structural brain metrics, and each atlas has its own unique benefits for localization. We offer a parcellation guided by intracranial electroencephalography, a technique which has historically provided pioneering advances in our understanding of brain structure–function relationships. We used a consensus boundary mapping approach combining anatomical designations in Duvernoy’s Atlas of the Human Brain, a widely recognized textbook of human brain anatomy, with the anatomy of the MNI152 template and the magnetic resonance imaging scans of an epilepsy surgery cohort. The Yale Brain Atlas consists of 690 one-square centimeter parcels based around conserved anatomical features and each with a unique identifier to communicate anatomically unambiguous localization. We report on the methodology we used to create the Atlas along with the findings of a neuroimaging study assessing the accuracy and clinical usefulness of cortical localization using the Atlas. We also share our vision for the Atlas as a tool in the clinical and research neurosciences, where it may facilitate precise localization of data on the cortex, accurate description of anatomical locations, and modern data science approaches using standardized brain regions.

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An extended Human Connectome Project multimodal parcellation atlas of the human cortex and subcortical areas

Cited by 72 publications

References 38 publications

Unravelling the fabric of the human mind: the brain-cognition space

Unravelling the fabric of the human mind: the brain-cognition space

A framework For brain atlases: Lessons from seizure dynamics

High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter

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