Helena J V Rutherford1, Jiansong Xu2, Patrick D Worhunsky2, Rubin Zhang2, Sarah W Yip2, Kristen P Morie2, Vince D Calhoun2,3,4, Sohye Kim5,6,7, Lane Strathearn6,8, Linda C Mayes1,2, Marc N Potenza1,2,9,10,11. 1. Child Study Center, Yale University School of Medicine, New Haven, CT 06510, United States. 2. Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, United States. 3. The Mind Research Network, Albuquerque, NM 87131, United States. 4. Dept of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, 87131, United States. 5. Department of Obstetrics and Gynecology, Baylor College of Medicine. 6. Department of Pediatrics and Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine. 7. Center for Reproductive Psychiatry, Pavilion for Women, Texas Children's Hospital. 8. Stead Family Department of Pediatrics, University of Iowa Carver College of Medicine. 9. Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, United States. 10. The Connecticut Council on Problem Gambling, Wethersfield, CT 06109, United States. 11. The Connecticut Mental Health Center, New Haven, CT 06519, United States.
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.
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.
Entities:
Keywords:
balanced excitation/inhibition; general linear model; independent component analysis; infant cue; neuroimaging; parent brain
Authors: Martin Klasen; Charles A Kenworthy; Krystyna A Mathiak; Tilo T J Kircher; Klaus Mathiak Journal: J Neurosci Date: 2011-09-21 Impact factor: 6.167