Phenotype Network and Brain Structural Covariance Network of Anxiety.

摘要: Network-based approach for psychological phenotypes assumes the dynamical interactions among psychiatric symptoms, characteristics, and neurocognitive performances arise, as they coexist, propagate, inhibit other components within network of mental phenomena. For differential types dataset from which phenotype is to be estimated, a Gaussian graphical model, an Ising directed acyclic graph, or intraindividual covariance could used. Accordingly, these network-based approaches anxiety-related phenomena have been helpful in quantitative pictorial understanding qualitative dynamics diverse well mind-environment interactions. Brain structural refers correlative patterns brain morphological features regions comprising brain, calculated per participant across participants. These covarying morphology partly overlap with longitudinal cortical maturation also propagating pattern changes such thinning volume reduction patients diagnosed neurologic disorders along trajectory disease progression. Previous studies that used show neural correlates specific anxiety disorder panic elucidate underpinning symptom severity patients.