Functional near-infrared spectroscopy brain imaging predicts symptom severity in youth exposed to traumatic stress

Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technique with the potential to enable the assessment of posttraumatic stress disorder (PTSD) brain biomarkers in an affordable and portable manner. Consistent with biological models of PTSD, functional magnetic resonance i...

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Bibliographic Details
Published in:Journal of psychiatric research 2021-12, Vol.144, p.494-502
Main Authors: Balters, Stephanie, Li, Rihui, Espil, Flint M., Piccirilli, Aaron, Liu, Ning, Gundran, Andrew, Carrion, Victor G., Weems, Carl F., Cohen, Judith A., Reiss, Allan L.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Brain
Emotion processing
Emotions - physiology
Functional near-infrared spectroscopy
Humans
Magnetic Resonance Imaging
Neuroimaging
Posttraumatic stress symptoms
Predictive model
Prefrontal Cortex
Spectroscopy, Near-Infrared
Stress Disorders, Post-Traumatic
Symptom severity
Youth
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Summary:Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technique with the potential to enable the assessment of posttraumatic stress disorder (PTSD) brain biomarkers in an affordable and portable manner. Consistent with biological models of PTSD, functional magnetic resonance imaging (fMRI) and fNIRS studies of adults with trauma exposure and PTSD symptoms suggest increased activation in the dorsolateral prefrontal cortex (dlPFC) and ventrolateral PFC (vlPFC) in response to negative emotion stimuli. We tested this theory with fNIRS assessment among youth exposed to traumatic stress and experiencing PTSD symptoms (PTSS). A portable fNIRS system collected hemodynamic responses from (N = 57) youth with PTSS when engaging in a classic emotion expression task that included fearful and neutral faces stimuli. The General Linear Model was applied to identify cortical activations associated with the facial stimuli. Subsequently, a prediction model was established via a Support Vector Regression to determine whether PTSS severity could be predicted based on fNIRS-derived cortical response measures and individual demographic information. Results were consistent with findings from adult fMRI and fNIRS studies of PTSS showing increased activation in the dlPFC and vlPFC in response to negative emotion stimuli. Subsequent prediction analysis revealed ten features (i.e., cortical responses from eight frontocortical fNIRS channels, age and sex) strongly correlated with PTSS severity (r = 0.65, p 
ISSN:0022-3956
1879-1379
DOI:10.1016/j.jpsychires.2021.10.020