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Hippocampal Resting-State Functional Connectivity Forecasts Individual Posttraumatic Stress Disorder Symptoms: A Data-Driven Approach.
Fitzgerald, Jacklynn M; Webb, Elisabeth Kate; Weis, Carissa N; Huggins, Ashley A; Bennett, Ken P; Miskovich, Tara A; Krukowski, Jessica L; deRoon-Cassini, Terri A; Larson, Christine L.
Afiliação
  • Fitzgerald JM; Department of Psychology, Marquette University, Milwaukee, Wisconsin. Electronic address: jacklynn.fitzgerald@marquette.edu.
  • Webb EK; Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin.
  • Weis CN; Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin.
  • Huggins AA; Department of Psychiatry, Medical University of South Carolina, Charleston, South Carolina.
  • Bennett KP; Montana VA Health Care System, Helena, Montana.
  • Miskovich TA; VA Northern California Health Care System, Vallejo, California.
  • Krukowski JL; Department of Psychology, Marquette University, Milwaukee, Wisconsin.
  • deRoon-Cassini TA; Department of Surgery, Division of Trauma & Acute Care Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin.
  • Larson CL; Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin.
Article em En | MEDLINE | ID: mdl-34478884
ABSTRACT

BACKGROUND:

Posttraumatic stress disorder (PTSD) is a debilitating disorder, and there is no current accurate prediction of who develops it after trauma. Neurobiologically, individuals with chronic PTSD exhibit aberrant resting-state functional connectivity (rsFC) between the hippocampus and other brain regions (e.g., amygdala, prefrontal cortex, posterior cingulate), and these aberrations correlate with severity of illness. Previous small-scale research (n < 25) has also shown that hippocampal rsFC measured acutely after trauma is predictive of future severity using a region-of-interest-based approach. While this is a promising biomarker, to date, no study has used a data-driven approach to test whole-brain hippocampal FC patterns in forecasting the development of PTSD symptoms.

METHODS:

A total of 98 adults at risk of PTSD were recruited from the emergency department after traumatic injury and completed resting-state functional magnetic resonance imaging (8 min) within 1 month; 6 months later, they completed the Clinician-Administered PTSD Scale for DSM-5 for assessment of PTSD symptom severity. Whole-brain rsFC values with bilateral hippocampi were extracted (using CONN) and used in a machine learning kernel ridge regression analysis (PRoNTo); a k-folds (k = 10) and 70/30 testing versus training split approach were used for cross-validation (1000 iterations to bootstrap confidence intervals for significance values).

RESULTS:

Acute hippocampal rsFC significantly predicted Clinician-Administered PTSD Scale for DSM-5 scores at 6 months (r = 0.30, p = .006; mean squared error = 120.58, p = .006; R2 = 0.09, p = .025). In post hoc analyses, hippocampal rsFC remained significant after controlling for demographics, PTSD symptoms at baseline, and depression, anxiety, and stress severity at 6 months (B = 0.59, SE = 0.20, p = .003).

CONCLUSIONS:

Findings suggest that functional connectivity of the hippocampus across the brain acutely after traumatic injury is associated with prospective PTSD symptom severity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos de Estresse Pós-Traumáticos Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos de Estresse Pós-Traumáticos Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article