Cardiovascular and Affective Recovery from Anticipatory Threat

Anticipating a stressor elicits robust cardiovascular and affective responses. Despite the possibility that recovery from these responses may have implications for physical and mental well-being, little research has examined this issue. In this study, participants either gave a public speech or anticipated giving a speech. Compared with speech-givers, participants who anticipated giving a speech, on average, exhibited similar cardiovascular recovery (decreased heart rate [HR] and increased respiratory sinus arrhythmia [RSA]), and reported lower negative affect during recovery. Only in the anticipation condition, however, were cardiovascular recovery and affective recovery associated: poor affective recovery predicted incomplete HR recovery and decreased RSA. These are the first data to compare explicitly recovery from anticipation of a stressor with recovery from the stressor itself. These findings suggest that failing to recover from anticipation has unique physiological costs that, in turn, may contribute to mental and physical illness.Psycholog

Structural abnormality of the corticospinal tract in major depressive disorder

BACKGROUND: Scientists are beginning to document abnormalities in white matter connectivity in major depressive disorder (MDD). Recent developments in diffusion-weighted image analyses, including tractography clustering methods, may yield improved characterization of these white matter abnormalities in MDD. In this study, we acquired diffusion-weighted imaging data from MDD participants and matched healthy controls. We analyzed these data using two tractography clustering methods: automated fiber quantification (AFQ) and the maximum density path (MDP) procedure. We used AFQ to compare fractional anisotropy (FA; an index of water diffusion) in these two groups across major white matter tracts. Subsequently, we used the MDP procedure to compare FA differences in fiber paths related to the abnormalities in major fiber tracts that were identified using AFQ. RESULTS: FA was higher in the bilateral corticospinal tracts (CSTs) in MDD (p’s < 0.002). Secondary analyses using the MDP procedure detected primarily increases in FA in the CST-related fiber paths of the bilateral posterior limbs of the internal capsule, right superior corona radiata, and the left external capsule. CONCLUSIONS: This is the first study to implicate the CST and several related fiber pathways in MDD. These findings suggest important new hypotheses regarding the role of CST abnormalities in MDD, including in relation to explicating CST-related abnormalities to depressive symptoms and RDoC domains and constructs

BDNF Genotype Modulates Resting Functional Connectivity in Children

A specific polymorphism of the brain-derived neurotrophic factor (BDNF) gene is associated with alterations in brain anatomy and memory; its relevance to the functional connectivity of brain networks, however, is unclear. Given that altered hippocampal function and structure has been found in adults who carry the methionine (met) allele of the BDNF gene and the molecular studies elucidating the role of BDNF in neurogenesis and synapse formation, we examined the association between BDNF gene variants and neural resting connectivity in children and adolescents. We observed a reduction in hippocampal and parahippocampal to cortical connectivity in met-allele carriers within both default-mode and executive networks. In contrast, we observed increased connectivity to amygdala, insula and striatal regions in met-carriers, within the paralimbic network. Because of the known association between the BDNF gene and neuropsychiatric disorder, this latter finding of greater connectivity in circuits important for emotion processing may indicate a new neural mechanism through which these gene-related psychiatric differences are manifest. Here we show that the BDNF gene, known to regulate synaptic plasticity and connectivity in the brain, affects functional connectivity at the neural systems level. In addition, we demonstrate that the spatial topography of multiple high-level resting state networks in healthy children and adolescents is similar to that observed in adults

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model

Large-scale collaborative analysis of brain imaging data, in psychiatry and neurology, offers a new source of statistical power to discover features that boost accuracy in disease classification, differential diagnosis, and outcome prediction. However, due to data privacy regulations or limited accessibility to large datasets across the world, it is challenging to efficiently integrate distributed information. Here we propose a novel classification framework through multi-site weighted LASSO: each site performs an iterative weighted LASSO for feature selection separately. Within each iteration, the classification result and the selected features are collected to update the weighting parameters for each feature. This new weight is used to guide the LASSO process at the next iteration. Only the features that help to improve the classification accuracy are preserved. In tests on data from five sites (299 patients with major depressive disorder (MDD) and 258 normal controls), our method boosted classification accuracy for MDD by 4.9% on average. This result shows the potential of the proposed new strategy as an effective and practical collaborative platform for machine learning on large scale distributed imaging and biobank data

Emotion (Dys)regulation and links to depressive disorders,”

ABSTRACT-Clinical depression is a significant mental health problem that is associated with personal suffering and impaired functioning. These effects underscore the continuing need for new approaches that can inform researchers and clinicians when designing interventions. The present article proposes that individual differences in the self-regulation of sadness and distress provide an important link between stress, depressed mood, and the onset of depressive disorder, and that a better understanding of the ways children successfully manage dysphoric emotions will lead to improved prevention and treatment of pediatric depression. After examining the normative development of responses that children use to attenuate sadness, aspects of the neurobiological infrastructure that both enable and constrain such selfregulatory efforts, and affect regulation of children at familial risk for depressive disorders, this article concludes by calling for integrated, developmental, multidisciplinary studies of sadness self-regulation

Emotion identification in girls at high risk for depression

Background: Children of depressed mothers are themselves at elevated risk for developing a depressive disorder. We have little understanding, however, of the specific factors that contribute to this increased risk. This study investigated whether never-disordered daughters whose mothers have experienced recurrent episodes of depression during their daughters&apos; lifetime differ from never-disordered daughters of never-disordered mothers in their processing of facial expressions of emotion. Method: Following a negative mood induction, daughters completed an emotion identification task in which they watched faces slowly change from a neutral to a full-intensity happy, sad, or angry expression. We assessed both the intensity that was required to accurately identify the emotion being expressed and errors in emotion identification. Results: Daughters of depressed mothers required greater intensity than did daughters of control mothers to accurately identify sad facial expressions; they also made significantly more errors identifying angry expressions. Conclusion: Cognitive biases may increase vulnerability for the onset of disorders and should be considered in early intervention and prevention efforts

Effects of COVID-19-related life changes on mental health in Syrian refugees in Turkey.

BackgroundMental disorders are currently the greatest global health burden. The coronavirus diseases 2019 (COVID-19) pandemic is having an adverse impact on people's mental health, particularly in vulnerable populations, such as refugees.AimsThe present study was designed to examine the association between COVID-19 and changes in mental health in Syrian refugees in Turkey.MethodWe conducted a two-wave panel survey of a representative sample of 302 of the estimated 500 000 Syrian refugees (ages 18 and older) living under humanitarian support in Istanbul (first wave between 9 and 15 July 2020 and the follow-up between 11 and 14 September 2020). We administered seven items from the CoRonavIruS Health Impact Survey in addition to one-context specific item about life changes because of COVID-19, and measures of depression (10-item Center for Epidemiologic Study Depression Scale, CESD-10), anxiety (6-item State-Trait Anxiety Inventory, STAI-6) and perceived stress (Perceived Stress Scale, PSS-4).ResultsA factor analysis yielded three COVID-19 factors, labelled 'social relationships', 'stress' and 'hope.' We conducted a series of cross-lag panel analyses to test associations between the COVID-19 factors and mental health. We found associations between all COVID-19 factors and CESD-10, between COVID-19 'stress' and STAI-6, and between COVID-19 'stress' and COVID-19 'hope' and PSS-4.ConclusionsOur measures of life changes because of the COVID-19 pandemic are associated with changes in the mental health of Syrian refugees living in Istanbul. It is therefore important that they are provided with services to reduce what may be particularly debilitating consequences of COVID-19

Oxytocin Receptor (OXTR) Polymorphisms and Attachment in Human Infants

Ordinary variations in human infants’ attachment behaviors – their proclivity to seek and accept comfort from caregivers – are associated with a wide range of individual differences in psychological functioning in adults. The current investigation examined variation in the oxytocin receptor (OXTR) gene as one possible source of these variations in infant attachment. One hundred seventy-six infants (77 Caucasian, 99 non-Caucasian) were classified as securely or insecurely attached based on their behavior in the Strange Situation (Ainsworth et al., 1978). The A allele of OXTR rs2254298 was associated with attachment security in the non-Caucasian infants (p < 0.005). These findings underscore the importance of oxytocin in the development of human social behavior and support its role in social stress-regulation and the development of trust