Neurocognitive and Information Processing Biases in Posttraumatic Stress Disorder

PURPOSE OF REVIEW

We review recent research addressing neurocognitive and information processing abnormalities in posttraumatic stress disorder (PTSD), including studies informing direction of causality. We additionally consider neurocognition in the context of co-morbid mild traumatic brain injury (TBI) and psychosocial treatments for PTSD.

RECENT FINDINGS

Learning, memory, attention, inhibitory functions, and information processing biases frequently accompany PTSD, reflecting potential bi-directional relationships with PTSD. Although mild TBI is associated with increased risk of PTSD development and maintenance, TBI does not typically contribute significantly to sustained neurocognitive deficits in individuals with PTSD. Whereas better learning and memory is associated with mildly enhanced response to psychosocial interventions, such interventions may also improve neurocognitive performance and can be effectively provided to patients with TBI history. PTSD is associated with cognitive abnormalities in processing both emotionally relevant and emotionally neutral information and, although mild, may underlie some PTSD symptom expression.

Cognitive Risk and Protective Factors for Suicidal Ideation: A Two Year Longitudinal Study in Adolescence

Adolescence is a developmental period associated with heightened risk for both the onset and escalation of suicidal ideation (SI). Given that SI is a potent predictor of suicidal behavior, it is important to develop models of vulnerability for and protection against SI, particularly among young adolescents. This study examined the relative impact of several cognitive vulnerabilities, as well as protective factors, for SI among young adolescents over a 2-year interval encompassing their transition to mid-adolescence. At baseline, 324 adolescents (M = 12.39 years; SD = 0.63; 52.5 % female) completed measures of depressive symptoms, self-referent information processing biases, negative inferential style, and responses to negative affect. Further, the adolescents and their mothers were administered a diagnostic interview to assess current and past depressive disorders and SI. Over follow-up, adolescents and their mothers were administered the diagnostic interview every 12 months and adolescents completed a self-report measure inquiring about SI every 6 months to assess interviewer-rated and self-reported SI. Logistic regressions indicated that preferential endorsement of negative adjectives as self-referent (only among girls), rumination in response to negative affect, and a negative inferential style prospectively predicted SI. Additionally, young adolescents' tendency to respond to negative affect with distraction and problem-solving buffered against their risk for exhibiting SI. When these factors were entered simultaneously, preferential endorsement of negative adjectives as self-referent and the use of distraction and problem-solving skills remained the only significant prospective predictors of SI. No previous studies have examined these variables as predictors of SI, thereby highlighting their potential utility in improving the predictive validity of extant models of suicide risk and resilience.

Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder

Neural models of major depressive disorder (MDD) posit that over-response of components of the brain's salience network (SN) to negative stimuli plays a crucial role in the pathophysiology of MDD. In the present proof-of-concept study, we tested this formulation directly by examining the affective consequences of training depressed persons to down-regulate response of SN nodes to negative material. Ten participants in the real neurofeedback group saw, and attempted to learn to down-regulate, activity from an empirically identified node of the SN. Ten other participants engaged in an equivalent procedure with the exception that they saw SN-node neurofeedback indices from participants in the real neurofeedback group. Before and after scanning, all participants completed tasks assessing emotional responses to negative scenes and to negative and positive self-descriptive adjectives. Compared to participants in the sham-neurofeedback group, from pre- to post-training, participants in the real-neurofeedback group showed a greater decrease in SN-node response to negative stimuli, a greater decrease in self-reported emotional response to negative scenes, and a greater decrease in self-reported emotional response to negative self-descriptive adjectives. Our findings provide support for a neural formulation in which the SN plays a primary role in contributing to negative cognitive biases in MDD.

Information processing biases concurrently and prospectively predict depressive symptoms in adolescents: Evidence from a self-referent encoding task

Negative information processing biases have been hypothesised to serve as precursors for the development of depression. The current study examined negative self-referent information processing and depressive symptoms in a community sample of adolescents (N = 291, Mage at baseline = 12.34 ± 0.61, 53% female, 47.4% African-American, 49.5% Caucasian and 3.1% Biracial). Participants completed a computerised self-referent encoding task (SRET) and a measure of depressive symptoms at baseline and completed an additional measure of depressive symptoms nine months later. Several negative information processing biases on the SRET were associated with concurrent depressive symptoms and predicted increases in depressive symptoms at follow-up. Findings partially support the hypothesis that negative information processing biases are associated with depressive symptoms in a nonclinical sample of adolescents, and provide preliminary evidence that these biases prospectively predict increases in depressive symptoms.