NLM Title Abbreviation
DOI of Published Version
Although several studies have demonstrated that facial-affect recognition impairment is common following moderate-severe traumatic brain injury (TBI), and that there are diffuse alterations in large-scale functional brain networks in TBI populations, little is known about the relationship between the two. Here, in a sample of 26 participantswith TBI and 20 healthy comparison participants (HC)wemeasured facial-affect recognition abilities and resting-state functional connectivity (rs-FC) using fMRI. We then used network-based statistics to examine (A) the presence of rs-FC differences between individuals with TBI and HC within the facial-affect processing network, and (B) the association between inter-individual differences in emotion recognition skills and rs-FC within the facial-affect processing network.We found that participants with TBI showed significantly lower rs-FC in a component comprising homotopic and within-hemisphere, anterior-posterior connectionswithin the facial-affect processing network. In addition,within the TBI group, participantswith higher emotion-labeling skills showed stronger rs-FC within a network comprised of intra- and inter-hemispheric bilateral connections. Findings indicate that the ability to successfully recognize facial-affect after TBI is related to rs-FC within components of facial-affective networks, and provide new evidence that further our understanding of the mechanisms underlying emotion recognition impairment in TBI.
OAfund, Traumatic brain injury, Emotion recognition, Facial affect, Emotion labeling, Resting state, Network-based statistics
Granting or Sponsoring Agency
NICHD/NCMRR grant R01 HD071089, the University of IowaMagnetic Resonance Research Facilities and a research grant fromthe University of Iowa Graduate and Professional Student Government.
Journal Article Version
Version of Record
Published Article/Book Citation
NeuroImage: Clinical 13 (2017) 370–377
© 2016 The Authors.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.