Automated regional behavioral analysis for human brain images

Behavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images. Behavioral and coordinate data were taken from the BrainMap database (http://www....

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Main Authors: Jack L Lancaster, Angela R Laird, Simon B Eickhoff, Michael J Martinez, P Mickle Fox, Peter T Fox
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-08-01
Series:Frontiers in Neuroinformatics
Subjects:
MRI
PET
ICA
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2012.00023/full
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spelling doaj-e016b56de7c94facaa620934f025fd0f2020-11-25T01:37:02ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962012-08-01610.3389/fninf.2012.0002329123Automated regional behavioral analysis for human brain imagesJack L Lancaster0Angela R Laird1Simon B Eickhoff2Simon B Eickhoff3Michael J Martinez4P Mickle Fox5Peter T Fox6University of Texas Health Science Center at San AntonioUniversity of Texas Health Science Center at San AntonioResearch CenterHeinrich-Heine UniversityUniversity of Texas Health Science Center at San AntonioUniversity of Texas Health Science Center at San AntonioUniversity of Texas Health Science Center at San AntonioBehavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images. Behavioral and coordinate data were taken from the BrainMap database (http://www.brainmap.org/), which documents over twenty years of published functional brain imaging studies. A brain region of interest (ROI) for behavioral analysis can be defined in functional images, anatomical images or brain atlases, if images are spatially normalized to MNI or Talairach standards. Results of behavioral analysis are presented for each of BrainMap’s fifty-one behavioral sub-domains spanning five behavioral domains (Action, Cognition, Emotion, Interoception, and Perception). For each behavioral sub-domain the fraction of coordinates falling within the ROI was computed and compared with the fraction expected if coordinates for the behavior were not clustered, i.e. uniformly distributed. When the difference between these fractions is large behavioral association is indicated. A z-score ≥3.0 was used to designate statistically significant behavioral association.The left-right symmetry of ~100K activation foci was evaluated by hemisphere, lobe, and by behavioral sub-domain. Results highlighted the classic left-side dominance for language while asymmetry for most sub-domains (~75%) was not statistically significant. Use scenarios were presented for anatomical ROIs from the Harvard-Oxford cortical brain atlas, functional ROIs from statistical parametric maps in a TMS-PET study, a task-based fMRI study, and ROIs from the ten major representative functional networks in a previously published resting state fMRI study. Statistically significant behavioral findings for these use scenarios were consistent with published behaviors for associated anatomical and functional regions.http://journal.frontiersin.org/Journal/10.3389/fninf.2012.00023/fullBehaviorfMRIMRIPETICAAtlas
collection DOAJ
language English
format Article
sources DOAJ
author Jack L Lancaster
Angela R Laird
Simon B Eickhoff
Simon B Eickhoff
Michael J Martinez
P Mickle Fox
Peter T Fox
spellingShingle Jack L Lancaster
Angela R Laird
Simon B Eickhoff
Simon B Eickhoff
Michael J Martinez
P Mickle Fox
Peter T Fox
Automated regional behavioral analysis for human brain images
Frontiers in Neuroinformatics
Behavior
fMRI
MRI
PET
ICA
Atlas
author_facet Jack L Lancaster
Angela R Laird
Simon B Eickhoff
Simon B Eickhoff
Michael J Martinez
P Mickle Fox
Peter T Fox
author_sort Jack L Lancaster
title Automated regional behavioral analysis for human brain images
title_short Automated regional behavioral analysis for human brain images
title_full Automated regional behavioral analysis for human brain images
title_fullStr Automated regional behavioral analysis for human brain images
title_full_unstemmed Automated regional behavioral analysis for human brain images
title_sort automated regional behavioral analysis for human brain images
publisher Frontiers Media S.A.
series Frontiers in Neuroinformatics
issn 1662-5196
publishDate 2012-08-01
description Behavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images. Behavioral and coordinate data were taken from the BrainMap database (http://www.brainmap.org/), which documents over twenty years of published functional brain imaging studies. A brain region of interest (ROI) for behavioral analysis can be defined in functional images, anatomical images or brain atlases, if images are spatially normalized to MNI or Talairach standards. Results of behavioral analysis are presented for each of BrainMap’s fifty-one behavioral sub-domains spanning five behavioral domains (Action, Cognition, Emotion, Interoception, and Perception). For each behavioral sub-domain the fraction of coordinates falling within the ROI was computed and compared with the fraction expected if coordinates for the behavior were not clustered, i.e. uniformly distributed. When the difference between these fractions is large behavioral association is indicated. A z-score ≥3.0 was used to designate statistically significant behavioral association.The left-right symmetry of ~100K activation foci was evaluated by hemisphere, lobe, and by behavioral sub-domain. Results highlighted the classic left-side dominance for language while asymmetry for most sub-domains (~75%) was not statistically significant. Use scenarios were presented for anatomical ROIs from the Harvard-Oxford cortical brain atlas, functional ROIs from statistical parametric maps in a TMS-PET study, a task-based fMRI study, and ROIs from the ten major representative functional networks in a previously published resting state fMRI study. Statistically significant behavioral findings for these use scenarios were consistent with published behaviors for associated anatomical and functional regions.
topic Behavior
fMRI
MRI
PET
ICA
Atlas
url http://journal.frontiersin.org/Journal/10.3389/fninf.2012.00023/full
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