Helena J V Rutherford, Jiansong Xu, Patrick D Worhunsky, Rubin Zhang, Sarah W Yip, Kristen P Morie, Vince D Calhoun, Sohye Kim, Lane Strathearn, Linda C Mayes, Marc N Potenza
{"title":"Gradient theories of brain activation: A novel application to studying the parental brain.","authors":"Helena J V Rutherford, Jiansong Xu, Patrick D Worhunsky, Rubin Zhang, Sarah W Yip, Kristen P Morie, Vince D Calhoun, Sohye Kim, Lane Strathearn, Linda C Mayes, Marc N Potenza","doi":"10.1007/s40473-019-00182-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>Parental brain research primarily employs general-linear-model-based (GLM-based) analyses to assess blood-oxygenation-level-dependent responses to infant auditory and visual cues, reporting common responses in shared cortical and subcortical structures. However, this approach does not reveal intermixed neural substrates related to different sensory modalities. We consider this notion in studying the parental brain.</p><p><strong>Recent findings: </strong>Spatial independent component analysis (sICA) has been used to separate mixed source signals from overlapping functional networks. We explore relative differences between GLM-based analysis and sICA as applied to an fMRI dataset acquired from women while they listened to infant cries or viewed infant sad faces.</p><p><strong>Summary: </strong>There is growing appreciation for the value of moving beyond GLM-based analyses to consider brain functional organization as continuous, distributive, and overlapping gradients of neural substrates related to different sensory modalities. Preliminary findings suggest sICA can be applied to the study of the parental brain.</p>","PeriodicalId":36384,"journal":{"name":"Current Behavioral Neuroscience Reports","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062306/pdf/nihms-1533810.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Behavioral Neuroscience Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40473-019-00182-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/7/5 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose of review: Parental brain research primarily employs general-linear-model-based (GLM-based) analyses to assess blood-oxygenation-level-dependent responses to infant auditory and visual cues, reporting common responses in shared cortical and subcortical structures. However, this approach does not reveal intermixed neural substrates related to different sensory modalities. We consider this notion in studying the parental brain.
Recent findings: Spatial independent component analysis (sICA) has been used to separate mixed source signals from overlapping functional networks. We explore relative differences between GLM-based analysis and sICA as applied to an fMRI dataset acquired from women while they listened to infant cries or viewed infant sad faces.
Summary: There is growing appreciation for the value of moving beyond GLM-based analyses to consider brain functional organization as continuous, distributive, and overlapping gradients of neural substrates related to different sensory modalities. Preliminary findings suggest sICA can be applied to the study of the parental brain.
期刊介绍:
Under the leadership of Emil Coccaro, Current Behavioral Neuroscience Reports will provide an in-depth review of topics covering personality and impulse control disorders, psychosis, mood and anxiety disorders, genetics and neuroscience, geropsychiatry and cognitive disorders of late life, child and developmental psychiatry, addictions, and neuromodulation.We accomplish this aim by inviting international authorities to contribute review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. By providing clear, insightful balanced contributions, the journal intends to serve those involved in the field of behavioral neuroscience.