Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41583-018-0071-7
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dc.titleImaging-based parcellations of the human brain
dc.contributor.authorEickhoff, Simon B
dc.contributor.authorYeo, BT Thomas
dc.contributor.authorGenon, Sarah
dc.date.accessioned2020-05-05T04:20:52Z
dc.date.available2020-05-05T04:20:52Z
dc.date.issued2018-11-01
dc.identifier.citationEickhoff, 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.issn1471003X
dc.identifier.issn14710048
dc.identifier.urihttps://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.isoen
dc.publisherNATURE PUBLISHING GROUP
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectNeurosciences
dc.subjectNeurosciences & Neurology
dc.subjectHUMAN CEREBRAL-CORTEX
dc.subjectCONNECTIVITY-BASED PARCELLATION
dc.subjectINTRINSIC FUNCTIONAL CONNECTIVITY
dc.subjectCOMPARATIVE CYTOARCHITECTONIC ANALYSIS
dc.subjectINDIVIDUAL HUMAN BRAINS
dc.subjectCORTICAL MOTOR SYSTEM
dc.subjectMEDIAL FRONTAL-CORTEX
dc.subjectPREFRONTAL CORTEX
dc.subjectIN-VIVO
dc.subjectMETAANALYTIC CONNECTIVITY
dc.typeReview
dc.date.updated2020-05-04T16:13:28Z
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.1038/s41583-018-0071-7
dc.description.sourcetitleNATURE REVIEWS NEUROSCIENCE
dc.description.volume19
dc.description.issue11
dc.description.page672-686
dc.published.statePublished
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