Please use this identifier to cite or link to this item:
https://doi.org/10.1038/s41583-018-0071-7
DC Field | Value | |
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dc.title | Imaging-based parcellations of the human brain | |
dc.contributor.author | Eickhoff, Simon B | |
dc.contributor.author | Yeo, BT Thomas | |
dc.contributor.author | Genon, Sarah | |
dc.date.accessioned | 2020-05-05T04:20:52Z | |
dc.date.available | 2020-05-05T04:20:52Z | |
dc.date.issued | 2018-11-01 | |
dc.identifier.citation | Eickhoff, Simon B, Yeo, BT Thomas, Genon, Sarah (2018-11-01). Imaging-based parcellations of the human brain. NATURE REVIEWS NEUROSCIENCE 19 (11) : 672-686. ScholarBank@NUS Repository. https://doi.org/10.1038/s41583-018-0071-7 | |
dc.identifier.issn | 1471003X | |
dc.identifier.issn | 14710048 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/167719 | |
dc.description.abstract | © 2018, Springer Nature Limited. A defining aspect of brain organization is its spatial heterogeneity, which gives rise to multiple topographies at different scales. Brain parcellation — defining distinct partitions in the brain, be they areas or networks that comprise multiple discontinuous but closely interacting regions — is thus fundamental for understanding brain organization and function. The past decade has seen an explosion of in vivo MRI-based approaches to identify and parcellate the brain on the basis of a wealth of different features, ranging from local properties of brain tissue to long-range connectivity patterns, in addition to structural and functional markers. Given the high diversity of these various approaches, assessing the convergence and divergence among these ensuing maps is a challenge. Inter-individual variability adds to this challenge but also provides new opportunities when coupled with cross-species and developmental parcellation studies. | |
dc.language.iso | en | |
dc.publisher | NATURE PUBLISHING GROUP | |
dc.source | Elements | |
dc.subject | Science & Technology | |
dc.subject | Life Sciences & Biomedicine | |
dc.subject | Neurosciences | |
dc.subject | Neurosciences & Neurology | |
dc.subject | HUMAN CEREBRAL-CORTEX | |
dc.subject | CONNECTIVITY-BASED PARCELLATION | |
dc.subject | INTRINSIC FUNCTIONAL CONNECTIVITY | |
dc.subject | COMPARATIVE CYTOARCHITECTONIC ANALYSIS | |
dc.subject | INDIVIDUAL HUMAN BRAINS | |
dc.subject | CORTICAL MOTOR SYSTEM | |
dc.subject | MEDIAL FRONTAL-CORTEX | |
dc.subject | PREFRONTAL CORTEX | |
dc.subject | IN-VIVO | |
dc.subject | METAANALYTIC CONNECTIVITY | |
dc.type | Review | |
dc.date.updated | 2020-05-04T16:13:28Z | |
dc.contributor.department | ELECTRICAL AND COMPUTER ENGINEERING | |
dc.description.doi | 10.1038/s41583-018-0071-7 | |
dc.description.sourcetitle | NATURE REVIEWS NEUROSCIENCE | |
dc.description.volume | 19 | |
dc.description.issue | 11 | |
dc.description.page | 672-686 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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