How to Characterize the Function of a Brain Region

Many brain regions have been defined, but a comprehensive formalization of each region’s function in relation to human behavior is still lacking. Current knowledge comes from various fields, which have diverse conceptions of ‘functions’. We briefly review these fields and outline how the heterogenei...

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Published inTrends in cognitive sciences Vol. 22; no. 4; pp. 350 - 364
Main Authors Genon, Sarah, Reid, Andrew, Langner, Robert, Amunts, Katrin, Eickhoff, Simon B.
Format Journal Article Web Resource
LanguageEnglish
Published England Elsevier Ltd 01.04.2018
Elsevier
Subjects
Brain - physiology
brain mapping
Brain Mapping - methods
BrainMap
Cognitive Neuroscience - methods
data-driven
Functional specialization
Humans
MRI
Neurosciences & behavior
Neurosciences & comportement
Neurosynth
Sciences sociales & comportementales, psychologie
Social & behavioral sciences, psychology
brain mapping
Functional specialization
BrainMap
data-driven
MRI
Neurosynth
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Abstract Many brain regions have been defined, but a comprehensive formalization of each region’s function in relation to human behavior is still lacking. Current knowledge comes from various fields, which have diverse conceptions of ‘functions’. We briefly review these fields and outline how the heterogeneity of associations could be harnessed to disclose the computational function of any region. Aggregating activation data from neuroimaging studies allows us to characterize the functional engagement of a region across a range of experimental conditions. Furthermore, large-sample data can disclose covariation between brain region features and ecological behavioral phenotyping. Combining these two approaches opens a new perspective to determine the behavioral associations of a brain region, and hence its function and broader role within large-scale functional networks. While it is largely accepted that the brain is topographically organized into distinct areas that are integrated into networks, the unique contribution of each area to behavior is yet to be elucidated. Diverse lines of research using different approaches have contributed to numerous behavioral associations for any brain area. Emerging databases of task-based activation data offer the possibility of characterizing the engagement of brain regions across a broad range of experimental behavioral conditions. New large samples of both imaging and phenotypical data provide an opportunity to complement the activation pattern by examining cross-subject associations between imaging-derived neurobiological markers and ecological behavioral characteristics.
AbstractList Many brain regions have been defined, but a comprehensive formalization of each region’s function in relation to human behavior is still lacking. Current knowledge comes from various fields, which have diverse conceptions of ‘functions’. We briefly review these fields and outline how the heterogeneity of associations could be harnessed to disclose the computational function of any region. Aggregating activation data from neuroimaging studies allows us to characterize the functional engagement of a region across a range of experimental conditions. Furthermore, large-sample data can disclose covariation between brain region features and ecological behavioral phenotyping. Combining these two approaches opens a new perspective to determine the behavioral associations of a brain region, and hence its function and broader role within large-scale functional networks. While it is largely accepted that the brain is topographically organized into distinct areas that are integrated into networks, the unique contribution of each area to behavior is yet to be elucidated. Diverse lines of research using different approaches have contributed to numerous behavioral associations for any brain area. Emerging databases of task-based activation data offer the possibility of characterizing the engagement of brain regions across a broad range of experimental behavioral conditions. New large samples of both imaging and phenotypical data provide an opportunity to complement the activation pattern by examining cross-subject associations between imaging-derived neurobiological markers and ecological behavioral characteristics.
Many brain regions have been defined, but a comprehensive formalization of each region's function in relation to human behavior is still lacking. Current knowledge comes from various fields, which have diverse conceptions of 'functions'. We briefly review these fields and outline how the heterogeneity of associations could be harnessed to disclose the computational function of any region. Aggregating activation data from neuroimaging studies allows us to characterize the functional engagement of a region across a range of experimental conditions. Furthermore, large-sample data can disclose covariation between brain region features and ecological behavioral phenotyping. Combining these two approaches opens a new perspective to determine the behavioral associations of a brain region, and hence its function and broader role within large-scale functional networks.
Many brain regions have been defined, but a comprehensive formalization of each region's function in relation to human behavior is still lacking. Current knowledge comes from various fields, which have diverse conceptions of 'functions'. We briefly review these fields and outline how the heterogeneity of associations could be harnessed to disclose the computational function of any region. Aggregating activation data from neuroimaging studies allows us to characterize the functional engagement of a region across a range of experimental conditions. Furthermore, large-sample data can disclose covariation between brain region features and ecological behavioral phenotyping. Combining these two approaches opens a new perspective to determine the behavioral associations of a brain region, and hence its function and broader role within large-scale functional networks.Many brain regions have been defined, but a comprehensive formalization of each region's function in relation to human behavior is still lacking. Current knowledge comes from various fields, which have diverse conceptions of 'functions'. We briefly review these fields and outline how the heterogeneity of associations could be harnessed to disclose the computational function of any region. Aggregating activation data from neuroimaging studies allows us to characterize the functional engagement of a region across a range of experimental conditions. Furthermore, large-sample data can disclose covariation between brain region features and ecological behavioral phenotyping. Combining these two approaches opens a new perspective to determine the behavioral associations of a brain region, and hence its function and broader role within large-scale functional networks.
Author Genon, Sarah
Reid, Andrew
Amunts, Katrin
Eickhoff, Simon B.
Langner, Robert
AuthorAffiliation 3 School of Psychology, University of Nottingham, Nottingham, UK
2 Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
4 C. and O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
1 Institute of Neuroscience and Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany
AuthorAffiliation_xml – name: 3 School of Psychology, University of Nottingham, Nottingham, UK
– name: 4 C. and O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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– name: 1 Institute of Neuroscience and Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany
Author_xml – sequence: 1
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  surname: Genon
  fullname: Genon, Sarah
  email: s.genon@fz-juelich.de
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  fullname: Reid, Andrew
  organization: School of Psychology, University of Nottingham, Nottingham, UK
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  fullname: Langner, Robert
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  fullname: Eickhoff, Simon B.
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/29501326$$D View this record in MEDLINE/PubMed
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Issue 4
Keywords brain mapping
Functional specialization
BrainMap
data-driven
MRI
Neurosynth
Language English
License This is an open access article under the CC BY license.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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Snippet Many brain regions have been defined, but a comprehensive formalization of each region’s function in relation to human behavior is still lacking. Current...
Many brain regions have been defined, but a comprehensive formalization of each region's function in relation to human behavior is still lacking. Current...
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SubjectTerms Brain - physiology
brain mapping
Brain Mapping - methods
BrainMap
Cognitive Neuroscience - methods
data-driven
Functional specialization
Humans
MRI
Neurosciences & behavior
Neurosciences & comportement
Neurosynth
Sciences sociales & comportementales, psychologie
Social & behavioral sciences, psychology
Title How to Characterize the Function of a Brain Region
URI https://www.clinicalkey.com/#!/content/1-s2.0-S1364661318300238
https://dx.doi.org/10.1016/j.tics.2018.01.010
https://www.ncbi.nlm.nih.gov/pubmed/29501326
https://www.proquest.com/docview/2010843032
http://orbi.ulg.ac.be/handle/2268/225853
https://pubmed.ncbi.nlm.nih.gov/PMC7978486
Volume 22
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