Reference code: | PT/FB/BL-2016-111.05 |
Location: | BF-GMS
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Title:
| Gradient theories of brain activation: A novel application to studying the parental brain
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Publication year: | 2019
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URL:
| https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062306/
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Abstract/Results: | 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.
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Accessibility: | Document exists in file
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Language:
| eng
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Author:
| Rutherford, H. J.
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Secondary author(s):
| Xu, J., Worhunsky, P., Zhang, R., Yip, S. W., Morie, K. P., Calhoun, V. D., Kim, S., Strathearn, L., Mayes, L., Potenza, M. N.
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Document type:
| Article
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Number of reproductions:
| 1
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Reference:
| Rutherford, H. J., Yip, S. W., Worhunsky, P., Zhang, R., Yip, S. W., Morie, K. P., ... Potenza, M. N. (2019). Gradient theories of brain activation: A novel application to studying the parental brain. Current Behavioral Neuroscience Reports, 6(3), 119.125. https://doi.org/10.1007/s40473-019-00182-5
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Indexed document: | No
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Keywords: | Neuroimaging / Balanced excitation/inhibition / Independent component analysis / Parental brain / Infant cue / General linear model
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