Advances in computational statistics and corresponding shifts in funding initiatives over the
past few decades have led to a proliferation of neuroscientific measures being developed in …

Poverty is associated with changes in brain development and elevates the risk for
psychopathology in childhood, adolescence, and adulthood. Although the field is rapidly …

Neural complexity correlates with one's level of consciousness. During coma, anesthesia,
and sleep, complexity is reduced. During altered states, including after lysergic acid …

Across the major psychiatric disorders (MPDs), a shared disruption in brain physiology is
suspected. Here we investigate the neural variability at rest, a well-established behavior …

Here, we follow the call to target measurement reliability as a key prerequisite for individual-
level predictions in translational neuroscience by investigating (1) longitudinal reliability at …

Machine‐learning prediction studies have shown potential to inform treatment stratification,
but recent efforts to predict psychotherapy outcomes with clinical routine data have only …

Within-individual blood oxygen level-dependent (BOLD) signal variability, intrinsic moment-
to-moment signal fluctuations within a single individual in specific voxels across a given time …

Variability drives the organization and behavior of complex systems, including the human
brain. Understanding the variability of brain signals is thus necessary to broaden our …

Objective To investigate plasma levels of circulating cell-free mitochondrial DNA (ccf-
mtDNA) in patients with social anxiety disorder (SAD) and healthy controls (HC). Methods In …

Background Understanding how treatments change neurobiology is critical to developing
predictors of treatment response. This is especially true for anxiety disorders—the most …