The increasing complexity of social stress may be especially threatening to mental health during childhood and adolescence. One's skills in effectively coping with this stress may contribute to symptoms of pediatric anxiety and depression, a growing, significant, and pervasive public health concern. In addition to strategic skills, individual differences in coping may reflect differences in brain structure, including the white matter pathways that integrate frontal lobe networks with those involved in social functioning. Identifying the neurological substrates underlying anxiety and depression is an important way to delineate mechanisms underlying development of these disorders. Deterministic automated-fiber quantification (AFQ) is a technique that removes potential error from manual tracking of white matter, segregating tracts into distinct nodes—diminishing the effect of crossing fibers—and quantifying the number of fibers in a tract, allowing for assessment of connectivity across regions. Collectively, this investigation aims to quantify the interplay between anxiety, depression, coping with social stress, and white matter microstructure in children and adolescents.

Ninety-two healthy children and adolescents (8-17 years old; n=53 female, Mage=12.96; n=39 male, Mage=12.31) and a parent rated symptoms of anxiety and depression using the Behavior Assessment System for Children (BASC-III). Coping and stress reactivity were assessed using the Responses to Stress Questionnaire, Social Stress version. Children and adolescents also completed 64-direction DTI in a Siemens 3T Prisma scanner. White matter microstructure was quantified using AFQ; Fractional anisotropy (FA) values were extracted for 18 tracts, comprised of 100 nodes each.

Mean levels of parent- and self-reported anxiety and depression fell within the normative range, and children reported mild- to moderate social stress. Higher levels of social stress were associated with increased parent reported anxiety (r=.294, p=.002) and parent- and self-reported depression (r=.481, p<.001; r=.211, p=.034, respectively). Anxiety and depression were not significantly related to white matter microstructure; however, several specific links with coping were noted. Use of secondary control coping (e.g., cognitive restructuring) was associated with higher FA of the bilateral inferior fronto-occipital fasciculi (left IFOF r=.228, p=.027; right IFOF r=.299, p=.003) and left inferior longitudinal fasciculus (r=.269, p=.009); use of primary control coping (e.g., problem solving) was associated with higher FA of the bilateral uncinate fasciculi (left UF r=.216, p=.036; right UF r=.207, p=.045). Furthermore, use of primary and secondary control coping were associated with fewer symptoms of anxiety and depression, whereas greater use of disengagement coping (e.g., wishful thinking) was associated with more depressive symptoms.

These findings highlight links among white matter microstructure in tracts integrating frontal with temporal and occipital regions, and adoption of adaptive (i.e., primary and secondary control) coping responses. This may suggest that strong connections between brain regions supports more of a modulatory than a neglecting coping strategy. Finding also replicate extant literature on the ties between coping style and psychosocial distress. Given that coping responses are amenable to intervention, capitalizing on these brain-behavior links during ongoing neuromaturation is worthy of future research, with a goal of reducing symptoms of anxiety and depression via the brain's support of adaptive coping.