Gradient Theories of Brain Activation: a Novel Application to Studying the Parental Brain

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

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)119-125
Number of pages7
JournalCurrent Behavioral Neuroscience Reports
Volume6
Issue number3
DOIs
StatePublished - Sep 15 2019

Keywords

  • Balanced excitation/inhibition
  • General linear model
  • Independent component analysis
  • Infant cue
  • Neuroimaging
  • Parental brain

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Behavioral Neuroscience

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