There is no single functional atlas even for a single individual: Functional parcel definitions change with task

The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging (fMRI) data to identify these subunits and cr...

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Published inNeuroImage (Orlando, Fla.) Vol. 208; p. 116366
Main Authors Salehi, Mehraveh, Greene, Abigail S., Karbasi, Amin, Shen, Xilin, Scheinost, Dustin, Constable, R. Todd
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.03.2020
Elsevier Limited
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Abstract The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging (fMRI) data to identify these subunits and create a functional atlas. Functional connectivity approaches to understand the brain at the network level require such an atlas to assess connections between parcels and extract network properties. While no single functional atlas has emerged as the dominant atlas to date, there remains an underlying assumption that such an atlas exists. Using fMRI data from a highly sampled subject as well as two independent replication data sets, we demonstrate that functional parcellations based on fMRI connectivity data reconfigure substantially and in a meaningful manner, according to brain state. •Functional parcel boundaries reconfigure with cognitive state.•Parcel reconfigurations are robust and reliable across sessions and subjects.•Parcel sizes can significantly predict task condition and task performance.•State-dependent functional atlases have implications for functional connectivity.
AbstractList The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging (fMRI) data to identify these subunits and create a functional atlas. Functional connectivity approaches to understand the brain at the network level require such an atlas to assess connections between parcels and extract network properties. While no single functional atlas has emerged as the dominant atlas to date, there remains an underlying assumption that such an atlas exists. Using fMRI data from a highly sampled subject as well as two independent replication data sets, we demonstrate that functional parcellations based on fMRI connectivity data reconfigure substantially and in a meaningful manner, according to brain state.
The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging (fMRI) data to identify these subunits and create a functional atlas. Functional connectivity approaches to understand the brain at the network level require such an atlas to assess connections between parcels and extract network properties. While no single functional atlas has emerged as the dominant atlas to date, there remains an underlying assumption that such an atlas exists. Using fMRI data from a highly sampled subject as well as two independent replication data sets, we demonstrate that functional parcellations based on fMRI connectivity data reconfigure substantially and in a meaningful manner, according to brain state.The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging (fMRI) data to identify these subunits and create a functional atlas. Functional connectivity approaches to understand the brain at the network level require such an atlas to assess connections between parcels and extract network properties. While no single functional atlas has emerged as the dominant atlas to date, there remains an underlying assumption that such an atlas exists. Using fMRI data from a highly sampled subject as well as two independent replication data sets, we demonstrate that functional parcellations based on fMRI connectivity data reconfigure substantially and in a meaningful manner, according to brain state.
The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging (fMRI) data to identify these subunits and create a functional atlas. Functional connectivity approaches to understand the brain at the network level require such an atlas to assess connections between parcels and extract network properties. While no single functional atlas has emerged as the dominant atlas to date, there remains an underlying assumption that such an atlas exists. Using fMRI data from a highly sampled subject as well as two independent replication data sets, we demonstrate that functional parcellations based on fMRI connectivity data reconfigure substantially and in a meaningful manner, according to brain state. •Functional parcel boundaries reconfigure with cognitive state.•Parcel reconfigurations are robust and reliable across sessions and subjects.•Parcel sizes can significantly predict task condition and task performance.•State-dependent functional atlases have implications for functional connectivity.
ArticleNumber 116366
Author Salehi, Mehraveh
Karbasi, Amin
Greene, Abigail S.
Shen, Xilin
Scheinost, Dustin
Constable, R. Todd
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  fullname: Salehi, Mehraveh
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– sequence: 2
  givenname: Abigail S.
  surname: Greene
  fullname: Greene, Abigail S.
  organization: Interdepartmental Neuroscience Program, Yale School of Medicine, United States
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  givenname: Amin
  surname: Karbasi
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  organization: Department of Electrical Engineering, Yale University, United States
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  surname: Shen
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  surname: Constable
  fullname: Constable, R. Todd
  organization: Interdepartmental Neuroscience Program, Yale School of Medicine, United States
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31740342$$D View this record in MEDLINE/PubMed
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ISSN 1053-8119
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Keywords Functional connectivity
fMRI
Behavior prediction
State-specific parcellation
Functional brain atlas
Task decoding
Language English
License This is an open access article under the CC BY-NC-ND license.
Copyright © 2019. Published by Elsevier Inc.
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OpenAccessLink https://doaj.org/article/d931cc99a2604be6b28c438e9f9ac10f
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SSID ssj0009148
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Snippet The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain...
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SubjectTerms Adult
Atlases as Topic
Behavior prediction
Brain - diagnostic imaging
Brain - physiology
Brain mapping
Brain research
Datasets
Datasets as Topic
Female
fMRI
Functional brain atlas
Functional connectivity
Functional magnetic resonance imaging
Functional Neuroimaging - methods
Humans
Magnetic Resonance Imaging - methods
Male
Medical imaging
Mental Processes - physiology
Middle Aged
Nerve Net - diagnostic imaging
Nerve Net - physiology
Neural networks
Neuroimaging
Neuropsychological Tests
State-specific parcellation
Task decoding
Young Adult
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Title There is no single functional atlas even for a single individual: Functional parcel definitions change with task
URI https://www.clinicalkey.com/#!/content/1-s2.0-S1053811919309577
https://dx.doi.org/10.1016/j.neuroimage.2019.116366
https://www.ncbi.nlm.nih.gov/pubmed/31740342
https://www.proquest.com/docview/2348269307
https://www.proquest.com/docview/2315972252
https://doaj.org/article/d931cc99a2604be6b28c438e9f9ac10f
Volume 208
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