Multimodal mapping of the face connectome

Yin Wang (), Athanasia Metoki, David V. Smith, John D. Medaglia, Yinyin Zang, Susan Benear, Haroon Popal, Ying Lin and Ingrid R. Olson ()
Additional contact information
Yin Wang: Beijing Normal University
Athanasia Metoki: Temple University
David V. Smith: Temple University
John D. Medaglia: Drexel University
Yinyin Zang: Peking University
Susan Benear: Temple University
Haroon Popal: Temple University
Ying Lin: Temple University
Ingrid R. Olson: Temple University

Nature Human Behaviour, 2020, vol. 4, issue 4, 397-411

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41562-019-0811-3

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