TY - JOUR
T1 - Identifying electrophysiological prodromes of post-traumatic stress disorder
T2 - Results from a pilot study
AU - Wang, Chao
AU - Costanzo, Michelle E.
AU - Rapp, Paul E.
AU - Darmon, David
AU - Bashirelahi, Kylee
AU - Nathan, Dominic E.
AU - Cellucci, Christopher J.
AU - Roy, Michael J.
AU - Keyser, David O.
N1 - Publisher Copyright:
© 2017 Wang, Costanzo, Rapp, Darmon, Bashirelahi, Nathan, Cellucci, Roy and Keyser.
PY - 2017
Y1 - 2017
N2 - The objective of this research project is the identification of a physiological prodrome of post-traumatic stress disorder (PTSD) that has a reliability that could justify preemptive treatment in the sub-syndromal state. Because abnormalities in event-related potentials (ERPs) have been observed in fully expressed PTSD, the possible utility of abnormal ERPs in predicting delayed-onset PTSD was investigated. ERPs were recorded from military service members recently returned from Iraq or Afghanistan who did not meet PTSD diagnostic criteria at the time of ERP acquisition. Participants (n=65) were followed for up to 1 year, and 7.7% of the cohorts (n=5) were PTSD-positive at follow-up. The initial analysis of the receiver operating characteristic (ROC) curve constructed using ERP metrics was encouraging. The average amplitude to target stimuli gave an area under the ROC curve of greater than 0.8. Classification based on the Youden index, which is determined from the ROC, gave positive results. Using average target amplitude at electrode Cz yielded Sensitivity=0.80 and Specificity=0.87. A more systematic statistical analysis of the ERP data indicated that the ROC results may simply represent a fortuitous consequence of small sample size. Predicted error rates based on the distribution of target ERP amplitudes approached those of random classification. A leaveone- out cross validation using a Gaussian likelihood classifier with Bayesian priors gave lower values of sensitivity and specificity. In contrast with the ROC results, the leaveone- out classification at Cz gave Sensitivity=0.65 and Specificity=0.60. A bootstrap calculation, again using the Gaussian likelihood classifier at Cz, gave Sensitivity=0.59 and Specificity=0.68. Two provisional conclusions can be offered. First, the results can only be considered preliminary due to the small sample size, and a much larger study will be required to assess definitively the utility of ERP prodromes of PTSD. Second, it may be necessary to combine ERPs with other biomarkers in a multivariate metric to produce a prodrome that can justify preemptive treatment.
AB - The objective of this research project is the identification of a physiological prodrome of post-traumatic stress disorder (PTSD) that has a reliability that could justify preemptive treatment in the sub-syndromal state. Because abnormalities in event-related potentials (ERPs) have been observed in fully expressed PTSD, the possible utility of abnormal ERPs in predicting delayed-onset PTSD was investigated. ERPs were recorded from military service members recently returned from Iraq or Afghanistan who did not meet PTSD diagnostic criteria at the time of ERP acquisition. Participants (n=65) were followed for up to 1 year, and 7.7% of the cohorts (n=5) were PTSD-positive at follow-up. The initial analysis of the receiver operating characteristic (ROC) curve constructed using ERP metrics was encouraging. The average amplitude to target stimuli gave an area under the ROC curve of greater than 0.8. Classification based on the Youden index, which is determined from the ROC, gave positive results. Using average target amplitude at electrode Cz yielded Sensitivity=0.80 and Specificity=0.87. A more systematic statistical analysis of the ERP data indicated that the ROC results may simply represent a fortuitous consequence of small sample size. Predicted error rates based on the distribution of target ERP amplitudes approached those of random classification. A leaveone- out cross validation using a Gaussian likelihood classifier with Bayesian priors gave lower values of sensitivity and specificity. In contrast with the ROC results, the leaveone- out classification at Cz gave Sensitivity=0.65 and Specificity=0.60. A bootstrap calculation, again using the Gaussian likelihood classifier at Cz, gave Sensitivity=0.59 and Specificity=0.68. Two provisional conclusions can be offered. First, the results can only be considered preliminary due to the small sample size, and a much larger study will be required to assess definitively the utility of ERP prodromes of PTSD. Second, it may be necessary to combine ERPs with other biomarkers in a multivariate metric to produce a prodrome that can justify preemptive treatment.
KW - Delayed onset
KW - Event-related potentials
KW - P300
KW - Post-traumatic stress disorder
KW - Prodromes
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=85032567189&partnerID=8YFLogxK
U2 - 10.3389/fpsyt.2017.00071
DO - 10.3389/fpsyt.2017.00071
M3 - Article
AN - SCOPUS:85032567189
SN - 1664-0640
VL - 8
JO - Frontiers in Psychiatry
JF - Frontiers in Psychiatry
IS - MAY
M1 - 71
ER -