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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Multimodal mapping of the face connectome
Nature human behaviour, v 4(4), pp 397-411
Apr 2020
PMID: 31988441
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Face processing supports our ability to recognize friend from foe, form tribes and understand the emotional implications of changes in facial musculature. This skill relies on a distributed network of brain regions, but how these regions interact is poorly understood. Here we integrate anatomical and functional connectivity measurements with behavioural assays to create a global model of the face connectome. We dissect key features, such as the network topology and fibre composition. We propose a neurocognitive model with three core streams; face processing along these streams occurs in a parallel and reciprocal manner. Although long-range fibre paths are important, the face network is dominated by short-range fibres. Finally, we provide evidence that the well-known right lateralization of face processing arises from imbalanced intra- and interhemispheric connections. In summary, the face network relies on dynamic communication across highly structured fibre tracts, enabling coherent face processing that underpins behaviour and cognition.
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Details
- Title
- Multimodal mapping of the face connectome
- Creators
- Yin Wang - Beijing Normal UniversityAthanasia Metoki - Temple UniversityDavid V Smith - Temple UniversityJohn D Medaglia - Drexel UniversityYinyin Zang - School of Psychological and Cognitive Sciences & Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.Susan Benear - Temple UniversityHaroon Popal - Temple UniversityYing Lin - Temple UniversityIngrid R Olson - Temple University
- Publication Details
- Nature human behaviour, v 4(4), pp 397-411
- Publisher
- Springer Nature
- Grant note
- U54 MH091657 / NIMH NIH HHS R01 MH091113 / NIMH NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000509652900003
- Scopus ID
- 2-s2.0-85078501611
- Other Identifier
- 991019168954304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neurosciences
- Psychology, Biological
- Psychology, Experimental