Cognitive Signatures of Depressive and Anhedonic Symptoms and Affective States Using Computational Modeling and Neurocognitive Testing.

BACKGROUND: Deeper phenotyping may improve our understanding of depression. Because depression is heterogeneous, extracting cognitive signatures associated with severity of depressive symptoms, anhedonia, and affective states is a promising approach. METHODS: Sequential sampling models decomposed behavior from an adaptive approach-avoidance conflict task into computational parameters quantifying latent cognitive signatures. Fifty unselected participants completed clinical scales and the approach-avoidance conflict task by either approaching or avoiding trials offering monetary rewards and electric shocks. RESULTS: Decision dynamics were best captured by a sequential sampling model with linear collapsing boundaries varying by net offer values, and with drift rates varying by trial-specific reward and aversion, reflecting net evidence accumulation toward approach or avoidance. Unlike conventional behavioral measures, these computational parameters revealed distinct associations with self-reported symptoms. Specifically, passive avoidance tendencies, indexed by starting point biases, were associated with greater severity of depressive symptoms (R = 0.34, p = .019) and anhedonia (R = 0.49, p = .001). Depressive symptoms were also associated with slower encoding and response execution, indexed by nondecision time (R = 0.37, p = .011). Higher reward sensitivity for offers with negative net values, indexed by drift rates, was linked to more sadness (R = 0.29, p = .042) and lower positive affect (R = -0.33, p = .022). Conversely, higher aversion sensitivity was associated with more tension (R = 0.33, p = .025). Finally, less cautious response patterns, indexed by boundary separation, were linked to more negative affect (R = -0.40, p = .005). CONCLUSIONS: We demonstrated the utility of multidimensional computational phenotyping, which could be applied to clinical samples to improve characterization and treatment selection.

Associations of early life stress with leptin and ghrelin in healthy young adults.

BACKGROUND: Childhood adversity is a major risk factor for cardiometabolic health problems. Stress-related changes in diet suggest a role for endocrine factors that influence dietary intake, such as leptin and ghrelin. These hormones influence metabolism and may contribute to the relationship of early adversity, mental, and cardiometabolic health. This study examined levels of leptin and ghrelin in a sample of young adults with and without early life stress (ELS). METHODS: Young adults ages 18-40 (N = 200; 68.5% female) were recruited from the community. Participants with ELS (N = 118) had childhood maltreatment, and a subset, n = 92 (78.0%) also had parental loss, and n = 65 (55.1%) also had a current psychiatric disorder. Control participants (N = 82) had no maltreatment, parental loss, or psychiatric disorders. Standardized interviews and self-reports assessed demographics, adversity, medical/psychiatric history, and health behaviors. Exclusion criteria included medical conditions and current medications other than hormonal contraceptives. Body Mass Index (BMI) and other anthropometrics were measured, and fasting plasma was assayed for total ghrelin and leptin with the Bio-Plex Pro Human Diabetes Panel. RESULTS: While ELS was significantly associated with greater leptin (r = .16, p = .025), a finding which held when adjusted for age and sex (F(3196)= 28.32, p = .011), this relationship was abolished when accounting for BMI (p = .44). Participants with ELS also had significantly lower total ghrelin (r = .21, p = .004), which held adjusting for age and sex (p = .002) and was attenuated (p = .045) when the model included BMI (F=46.82, p < .001). Current psychiatric disorder was also a significant predictor of greater leptin (r = .28, p < .001) and lower ghrelin (r = .29, p = .003). In the model with ELS and covariates, psychiatric disorder remained significant (F=7.26, p = .008) and ELS was no longer significant (p = .87). Associations with severity and recent perceived stress were also examined. CONCLUSION: The relationship of ELS and leptin was no longer significant when accounting for BMI, suggesting potential avenues for intervention. Ghrelin findings persisted after correction for BMI, which may be secondary to physiological differences in the regulation of these hormones (leptin is produced by adipocytes, whereas ghrelin is produced primarily in the GI tract). Lastly, these findings suggest that psychiatric functioning may be a key component contributing to the relationship of lower total ghrelin and childhood adversity.

The G Protein-Coupled Serotonin 1A Receptor Augments Protein Kinase Cε-Mediated Neurogenesis in Neonatal Mouse Hippocampus-PKCε-Mediated Signaling in the Early Hippocampus.

The neurotransmitter serotonin (5-HT) plays an important role in mood disorders. It has been demonstrated that 5-HT signaling through 5-HT1A receptors (5-HT1A-R) is crucial for early postnatal hippocampal development and later-life behavior. Although this suggests that 5-HT1A-R signaling regulates early brain development, the mechanistic underpinnings of this process have remained unclear. Here we show that stimulation of the 5-HT1A-R at postnatal day 6 (P6) by intrahippocampal infusion of the agonist 8-OH-DPAT (D) causes signaling through protein kinase Cε (PKCε) and extracellular receptor activated kinase ½ (ERK1/2) to boost neuroblast proliferation in the dentate gyrus (DG), as displayed by an increase in bromodeoxy-uridine (BrdU), doublecortin (DCX) double-positive cells. This boost in neuroproliferation was eliminated in mice treated with D in the presence of a 5-HT1A-R antagonist (WAY100635), a selective PKCε inhibitor, or an ERK1/2-kinase (MEK) inhibitor (U0126). It is believed that hippocampal neuro-progenitors undergoing neonatal proliferation subsequently become postmitotic and enter the synaptogenesis phase. Double-staining with antibodies against bromodeoxyuridine (BrdU) and neuronal nuclear protein (NeuN) confirmed that 5-HT1A-R → PKCε → ERK1/2-mediated boosted neuroproliferation at P6 also leads to an increase in BrdU-labeled granular neurons at P36. This 5-HT1A-R-mediated increase in mature neurons was unlikely due to suppressed apoptosis, because terminal deoxynucleotidyl transferase dUTP nick-end labeling analysis showed no difference in DNA terminal labeling between vehicle and 8-OH-DPAT-infused mice. Therefore, 5-HT1A-R signaling through PKCε may play an important role in micro-neurogenesis in the DG at P6, following which many of these new-born neuroprogenitors develop into mature neurons.