TY - JOUR
T1 - Low Frequency Phase-locking of Brain Signals Contribute to Efficient Face Recognition
AU - Wang, Yifeng
AU - Huang, Xinju
AU - Yang, Xuezhi
AU - Yang, Qi
AU - Wang, Xinqi
AU - Northoff, Georg
AU - Pang, Yajing
AU - Wang, Chong
AU - Cui, Qian
AU - Chen, Huafu
N1 - Funding Information:
The work was supported by the Natural Science Foundation of China ( 31600930 , 61533006 , U1808204 , and 81771919 ) and Sichuan Science and Technology Program ( 2018TJPT0016 ).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Low frequency phase synchronization is an essential mechanism of information communication among brain regions. In the infra-slow frequency range (<0.1 Hz), inter-regional phase lag is of importance for brain function (e.g., anti-phase between the default mode network and task positive network). However, the role of phase lag in cognitive processing remains unclear. Based on the frequency tagging experimental paradigm and functional magnetic resonance imaging (fMRI) technique, we investigated inter-regional phase lag and phase coherence using a face recognition task (n = 30, 15 males/15 females). Phase coherence within the face processing system was significantly increased during task state, highlighting the importance of regular inter-regional phase relationship for face recognition. Moreover, results showed decreased phase lag within the core and extended face areas (face processing system) and increased phase lag between the face processing system and frontoparietal network, indicating a reorganization of inter-regional relationships of the two systems. Inter-regional phase lag was modulated by the task at ascending and descending phases of the fMRI signal, suggesting a phase-dependent inter-regional relationship. Furthermore, phase lags between visual cortex and amygdala and between visual cortex and motor area were positively related to reaction time, indicating better task performance depends on both rapid emotional detection pathway and visual-motor pathway. Overall, inter-regional phase synchronization in the infra-slow frequency range is of important for effective information communication and cognitive performance.
AB - Low frequency phase synchronization is an essential mechanism of information communication among brain regions. In the infra-slow frequency range (<0.1 Hz), inter-regional phase lag is of importance for brain function (e.g., anti-phase between the default mode network and task positive network). However, the role of phase lag in cognitive processing remains unclear. Based on the frequency tagging experimental paradigm and functional magnetic resonance imaging (fMRI) technique, we investigated inter-regional phase lag and phase coherence using a face recognition task (n = 30, 15 males/15 females). Phase coherence within the face processing system was significantly increased during task state, highlighting the importance of regular inter-regional phase relationship for face recognition. Moreover, results showed decreased phase lag within the core and extended face areas (face processing system) and increased phase lag between the face processing system and frontoparietal network, indicating a reorganization of inter-regional relationships of the two systems. Inter-regional phase lag was modulated by the task at ascending and descending phases of the fMRI signal, suggesting a phase-dependent inter-regional relationship. Furthermore, phase lags between visual cortex and amygdala and between visual cortex and motor area were positively related to reaction time, indicating better task performance depends on both rapid emotional detection pathway and visual-motor pathway. Overall, inter-regional phase synchronization in the infra-slow frequency range is of important for effective information communication and cognitive performance.
KW - face recognition
KW - fMRI
KW - infra-slow
KW - low frequency steady-state brain response
KW - phase-locking
UR - http://www.scopus.com/inward/record.url?scp=85075357131&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075357131&partnerID=8YFLogxK
U2 - 10.1016/j.neuroscience.2019.10.024
DO - 10.1016/j.neuroscience.2019.10.024
M3 - Article
C2 - 31704494
AN - SCOPUS:85075357131
SN - 0306-4522
VL - 422
SP - 172
EP - 183
JO - Neuroscience
JF - Neuroscience
ER -