TY - JOUR
T1 - Gradient Theories of Brain Activation
T2 - a Novel Application to Studying the Parental Brain
AU - Rutherford, Helena J.V.
AU - Xu, Jiansong
AU - Worhunsky, Patrick D.
AU - Zhang, Rubin
AU - Yip, Sarah W.
AU - Morie, Kristen P.
AU - Calhoun, Vince D.
AU - Kim, Sohye
AU - Strathearn, Lane
AU - Mayes, Linda C.
AU - Potenza, Marc N.
N1 - Funding Information:
This work was supported by grants from the National Institutes of Health (R03 DA045289, R01 DA026437, R01 DA06025, R01 DA02446, R01 DA039136, K01 DA042998, K01 DA039299, K01 DA042937, P20GM103472, and R01EB020407], the National Science Foundation (no. 1539067), the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD065819, K23 HD43097, and R03 HD080998), and the BIAL Foundation.
Funding Information:
Marc Potenza reports support from the Connecticut Department of Mental Health and Addiction Services, the Connecticut Council on Problem Gambling, the Connecticut Mental Health Center, and the National Center for Responsible Gaming. Patrick Worhunsky reports grants from NIDA during the conduct of the study. Sarah Yip reports grants from NIDA during the conduct of the study. Helena Rutherford, Jiansong Xu, Rubin Zhang, Kristen Morie, Vince Calhoun, Sohye Kim, Lane Strathearn, and Linda Mayes declare no conflicts of interest relevant to this manuscript.
PY - 2019/9/15
Y1 - 2019/9/15
N2 - 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.
AB - 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.
KW - Balanced excitation/inhibition
KW - General linear model
KW - Independent component analysis
KW - Infant cue
KW - Neuroimaging
KW - Parental brain
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U2 - 10.1007/s40473-019-00182-5
DO - 10.1007/s40473-019-00182-5
M3 - Review article
C2 - 32154064
AN - SCOPUS:85090086558
VL - 6
SP - 119
EP - 125
JO - Current Behavioral Neuroscience Reports
JF - Current Behavioral Neuroscience Reports
SN - 2196-2979
IS - 3
ER -