Unknown

Dataset Information

0

Multimodal mapping of the face connectome.


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.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC7167350 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications


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  ...[more]

Similar Datasets

| S-EPMC10697132 | biostudies-literature
| S-EPMC5731484 | biostudies-literature
| S-EPMC7779422 | biostudies-literature
| S-EPMC10037827 | biostudies-literature
| S-EPMC7489644 | biostudies-literature
| S-EPMC6899700 | biostudies-literature
| S-EPMC6010555 | biostudies-literature
| S-EPMC3771991 | biostudies-literature
| S-EPMC6145853 | biostudies-literature
| S-EPMC3545448 | biostudies-literature