Cognitive Psychophysiological Substrates of Affective Temperaments

Disrupted fronto-parietal network and default-mode network gamma interactions distinguishing suicidal ideation and suicide attempt in depression

BACKGROUND

Precise suicide risk evaluation struggled in Major depressive disorder (MDD), especially for patients with only suicidal-ideation (SI) but without suicide attempt (SA). MDD patients have deficits in negative emotion processing, which is associated with the generation of SI and SA. Given the critical role of gamma oscillations in negative emotion processing, we hypothesize that the transition from SI to SA in MDD could be characterized by abnormal gamma interactions.

METHODS

We recruited 162 participants containing 106 MDD patients and 56 healthy controls (HCs). Participants performed facial recognition tasks while magnetoencephalography data were recorded. Time-frequency-representation (TFR) analysis was conducted to identify the dominant spectra differences between MDD and HCs, and then source analysis was applied to localize the region of interests. Furthermore, frequency-specific functional connectivity network were constructed and a semi-supervised clustering algorithm was utilized to predict potential suicide risk.

RESULTS

Gamma (50-70 Hz) power was found significantly increased in MDD, mainly residing in regions from fronto-parietal-control-network (FPN), visual-network (VN), default-mode-network (DMN) and salience-network (SN). Based on impaired gamma functional connectivity network between well-established SA group and non-SI group, semi-supervised algorithm clustered patients with only SI into two groups with different suicide risks. Moreover, Inter-network gamma connectivity between FPN and DMN significantly negatively correlated with suicide risk and not confounded by depression severity.

CONCLUSION

Inter-network gamma connectivity with FPN and DMN might be the key neuropathological interactions underling the progression from SI to SA. By applying semi-supervised clustering to electrophysiological data, it is possible to predict individual suicide risk.

Affective Temperament Traits Measured by TEMPS-A and Their Associations with Cognitive Functions among Offspring of Parents with Bipolar Disorder with and without Subthreshold Symptoms

BACKGROUND

To our knowledge, there have been no studies that have examined affective temperament traits in offspring of parents with bipolar disorder (BD). The aim of this study was to identify affective temperamental characteristics and their relationships with cognitive functions in BD offspring.

METHODS

A group of BD offspring were enrolled in this study. Subthreshold symptoms were used to categorize participants as either symptomatic offspring (SO) (n=60) or asymptomatic offspring (AO) (n=52). Healthy controls (HCs; n=48) were also enrolled for comparison. We used the Chinese Short Version of Temperament Evaluation of Memphis, Pisa, Paris, and San Diego, Auto-questionnaire (TEMPS-A) to measure temperament traits, and MATRICS Consensus Cognitive Battery (MCCB) to measure cognitive functions.

RESULTS

We observed higher cyclothymic, irritable, depressive and anxious temperament scores in SO than AO when compared to HCs. In BD offspring (SO and AO), cyclothymic individuals performed better in processing speed and verbal learning than depressive individuals and better in attention/vigilance than irritable and anxious individuals; hyperthymic individuals performed better in processing speed than depressive individuals. We also observed that a higher cyclothymic score was associated with better verbal learning and verbal fluency, a higher hyperthymic score was associated with better processing speed and verbal learning; while a higher depressive score was associated with worse processing speed, verbal learning and verbal fluency and a higher irritable score was associated with worse attention/vigilance.

CONCLUSIONS

The relationships between cognitive functions and measures of temperament suggest that these features may share neurobiological substrates and appear to be heritable.

Associations among childhood parenting, affective temperaments, depressive symptoms, and cognitive complaints in adult community volunteers

BACKGROUND

Correlations between depressive symptoms and affective temperaments or quality of childhood parenting have been investigated previously; however, how childhood parenting and affective temperaments affect cognitive complaints remains unknown. Thus, we evaluated correlations among childhood parenting, affective temperaments, depressive symptoms, and cognitive complaints in adults.

METHODS

Participants (N = 490) completed the Parental Bonding Instrument (PBI), Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Auto-questionnaire version (TEMPS-A), the Patient Health Questionnaire-9 (PHQ-9), and the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA). Multiple regression analyses and structural equation modeling were performed to evaluate scale correlations.

RESULTS

As per structural equation modeling, the direct effect of PHQ-9 and four subscales (cyclothymic, depressive, irritable, and anxious temperament) of TEMPS-A on COBRA were significant; the indirect effect of the four subscales of TEMPS-A on COBRA via PHQ-9 was significant; the direct effect of the three subscales (paternal care, maternal care, and maternal overprotection) of PBI on PHQ-9 and four subscales of TEMPS-A were significant; the indirect effect of the three subscales of PBI on PHQ-9 via the four subscales of TEMPS-A was significant.

LIMITATIONS

Cross-sectional designs cannot identify causal relationships between parameters. As participants were adult volunteers from the community, results may not be generalizable to individuals with psychiatric disorders.

CONCLUSIONS

Childhood parenting affects cognitive complaints indirectly via affective temperaments and depressive symptoms in adult community volunteers. An important role of affective temperaments and depressive symptoms in the effects of childhood parenting on cognitive complaints is suggested.