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Desmond J. Oathes

Researcher at Stanford University

Publications -  36
Citations -  2818

Desmond J. Oathes is an academic researcher from Stanford University. The author has contributed to research in topics: Anxiety & Medicine. The author has an hindex of 16, co-authored 21 publications receiving 2253 citations. Previous affiliations of Desmond J. Oathes include Pennsylvania State University & Veterans Health Administration.

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Causal interactions between fronto-parietal central executive and default-mode networks in humans

TL;DR: A direct test of the causal mechanisms by combining transcranial magnetic stimulation with functional MRI to causally excite or inhibit TMS-accessible prefrontal nodes within the CEN or SN and determine consequent effects on the DMN found that the default mode network is under inhibitory control specifically from a node in the central executive network, which provides mechanistic insights into prior work that implicates these networks in a range of neuropsychiatric disorders.
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Anticipatory activation in the amygdala and anterior cingulate in generalized anxiety disorder and prediction of treatment response.

TL;DR: Findings of heightened and indiscriminate amygdala responses to anticipatory signals in generalized anxiety disorder and of anterior cingulate cortex associations with treatment response provide neurobiological support for the role of anticipatory processes in the pathophysiology of generalized anxiety Disorder.
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Reduced Structural Connectivity of a Major Frontolimbic Pathway in Generalized Anxiety Disorder

TL;DR: Lower mean fractional anisotropy values in the bilateral uncinate fasciculus indicated reduced frontolimbic structural connectivity in patients with GAD, suggesting a neural basis for emotion regulation deficits in GAD.
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Neurobiological Signatures of Anxiety and Depression in Resting-State Functional Magnetic Resonance Imaging

TL;DR: Using resting-state functional magnetic resonance imaging, data show that a single conceptual model alone provides an incomplete mapping of psychopathology to neurobiology, and the data support an additive model that best captures abnormal neural patterns in patients with anxiety and depression.