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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Frontiers Media S.A.
2012-08-01
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/fninf.2012.00023/full |
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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 |
work_keys_str_mv |
AT jackllancaster automatedregionalbehavioralanalysisforhumanbrainimages AT angelarlaird automatedregionalbehavioralanalysisforhumanbrainimages AT simonbeickhoff automatedregionalbehavioralanalysisforhumanbrainimages AT simonbeickhoff automatedregionalbehavioralanalysisforhumanbrainimages AT michaeljmartinez automatedregionalbehavioralanalysisforhumanbrainimages AT pmicklefox automatedregionalbehavioralanalysisforhumanbrainimages AT petertfox automatedregionalbehavioralanalysisforhumanbrainimages |
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