Dataset Information

Comparing neural correlates of REM sleep in posttraumatic stress disorder and depression: a neuroimaging study.

ABSTRACT: Rapid eye movement (REM) sleep disturbances predict poor clinical outcomes in posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). In MDD, REM sleep is characterized by activation of limbic and paralimbic brain regions compared to wakefulness. The neural correlates of PTSD during REM sleep remain scarcely explored, and comparisons of PTSD and MDD have not been conducted. The present study sought to compare brain activity patterns during wakefulness and REM sleep in 13 adults with PTSD and 12 adults with MDD using [¹?F]-fluoro-2-deoxy-D-glucose positron emission tomography (PET). PTSD was associated with greater increase in relative regional cerebral metabolic rate of glucose (rCMRglc) in limbic and paralimbic structures in REM sleep compared to wakefulness. Post-hoc comparisons indicated that MDD was associated with greater limbic and paralimbic rCMRglc during wakefulness but not REM sleep compared to PTSD. Our findings suggest that PTSD is associated with increased REM sleep limbic and paralimbic metabolism, whereas MDD is associated with wake and REM hypermetabolism in these areas. These observations suggest that PTSD and MDD disrupt REM sleep through different neurobiological processes. Optimal sleep treatments between the two disorders may differ: REM-specific therapy may be more effective in PTSD.

SUBMITTER: Ebdlahad S

PROVIDER: S-EPMC3869237 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Comparing neural correlates of REM sleep in posttraumatic stress disorder and depression: a neuroimaging study.

Ebdlahad Sommer S Nofzinger Eric A EA James Jeffrey A JA Buysse Daniel J DJ Price Julie C JC Germain Anne A

Psychiatry research 20131201 3

Rapid eye movement (REM) sleep disturbances predict poor clinical outcomes in posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). In MDD, REM sleep is characterized by activation of limbic and paralimbic brain regions compared to wakefulness. The neural correlates of PTSD during REM sleep remain scarcely explored, and comparisons of PTSD and MDD have not been conducted. The present study sought to compare brain activity patterns during wakefulness and REM sleep in 13 adults ...[more]

PMID: 24367137

Similar Datasets

Project description:In depression, brain and behavioral correlates of decision-making differ between individuals with and without suicidal thoughts and behaviors. Though promising, it remains unknown if these potential biomarkers of suicidality will generalize to other high-risk clinical populations. To preliminarily assess whether brain structure or function tracked suicidality in individuals with posttraumatic stress disorder (PTSD), we measured resting-state functional connectivity and cortical thickness in two functional networks involved in decision-making, a ventral fronto-striatal reward network and a lateral frontal cognitive control network. Neuroimaging data and self-reported suicidality ratings, and suicide-related hospitalization data were obtained from 50 outpatients with PTSD and also from 15 healthy controls, and all were subjected to seed-based resting-state functional connectivity and cortical thickness analyses using a priori seeds from reward and cognitive control networks. First, general linear models (GLM) were used to evaluate whether ROI-to-ROI functional connectivity was predictive of self-reported suicidality after false discovery rate (FDR)-correction for multiple comparisons and covariance of age and depression symptoms. Next, regional cortical thickness statistics were included as predictors of ROI-to-ROI functional connectivity in follow-up GLMs evaluating structure-function relationships. Functional connectivity between reward regions was positively correlated with suicidality (p-FDR ≤ 0.05). Functional connectivity of the lateral pars orbitalis to anterior cingulate/paracingulate control regions also tracked suicidality (p-FDR ≤ 0.05). Furthermore, cortical thickness in anterior cingulate/paracingulate was associated with functional correlates of suicidality in the control network (p-FDR < 0.05). These results provide a preliminary demonstration that biomarkers of suicidality in decision-making networks observed in depression may generalize to PTSD and highlight the promise of these circuits as transdiagnostic biomarkers of suicidality.

Project description:BackgroundComorbidity between posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) has been commonly overlooked by studies examining resting-state functional connectivity patterns in PTSD. The current study used a data-driven approach to identify resting-state functional connectivity biomarkers to 1) differentiate individuals with PTSD (with or without MDD) from trauma-exposed healthy control subjects (TEHCs), 2) compare individuals with PTSD alone with those with comorbid PTSD+MDD, and 3) explore the clinical utility of the identified biomarkers by testing their associations with clinical symptoms and treatment response.MethodsResting-state magnetic resonance images were obtained from 51 individuals with PTSD alone, 52 individuals with PTSD+MDD, and 76 TEHCs. Of the 103 individuals with PTSD, 55 were enrolled in prolonged exposure treatment. A support vector machine model was used to identify resting-state functional connectivity biomarkers differentiating individuals with PTSD (with or without MDD) from TEHCs and differentiating individuals with PTSD alone from those with PTSD+MDD. The associations between the identified features and symptomatology were tested with Pearson correlations.ResultsThe support vector machine model achieved 70.6% accuracy in discriminating between individuals with PTSD and TEHCs and achieved 76.7% accuracy in discriminating between individuals with PTSD alone and those with PTSD+MDD for out-of-sample prediction. Within-network connectivity in the executive control network, prefrontal network, and salience network discriminated individuals with PTSD from TEHCs. The basal ganglia network played an important role in differentiating individuals with PTSD alone from those with PTSD+MDD. PTSD scores were inversely correlated with within-executive control network connectivity (p < .001), and executive control network connectivity was positively correlated with treatment response (p < .001).ConclusionsResults suggest that unique brain-based abnormalities differentiate individuals with PTSD from TEHCs, differentiate individuals with PTSD from those with PTSD+MDD, and demonstrate clinical utility in predicting levels of symptomatology and treatment response.

Dataset Information

Comparing neural correlates of REM sleep in posttraumatic stress disorder and depression: a neuroimaging study.

Publications

Comparing neural correlates of REM sleep in posttraumatic stress disorder and depression: a neuroimaging study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets