User profiles for James Touthang
James TouthangLaureate Institute for Brain Research Verified email at laureateinstitute.org Cited by 177 |
[HTML][HTML] Greater decision uncertainty characterizes a transdiagnostic patient sample during approach-avoidance conflict: a computational modelling approach
Background Imbalances in approach-avoidance conflict (AAC) decision-making (eg,
sacrificing rewards to avoid negative outcomes) are considered central to multiple psychiatric …
sacrificing rewards to avoid negative outcomes) are considered central to multiple psychiatric …
[HTML][HTML] Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample
Maladaptive behavior during approach-avoidance conflict (AAC) is common to multiple
psychiatric disorders. Using computational modeling, we previously reported that individuals with …
psychiatric disorders. Using computational modeling, we previously reported that individuals with …
P300 amplitude during a monetary incentive delay task predicts future therapy completion in individuals with major depressive disorder
Introduction Treatment effectiveness for major depressive disorder (MDD) is often affected
by client non-adherence, dropout, and non-response. Identification of client characteristics …
by client non-adherence, dropout, and non-response. Identification of client characteristics …
[HTML][HTML] Visual cortical regions show sufficient test-retest reliability while salience regions are unreliable during emotional face processing
Functional magnetic resonance imaging studies frequently use emotional face processing
tasks to probe neural circuitry related to psychiatric disorders and treatments with an …
tasks to probe neural circuitry related to psychiatric disorders and treatments with an …
[HTML][HTML] Rapid, reliable mobile assessment of affect-related motor processing
Mobile technologies can be used for behavioral assessments to associate changes in behavior
with environmental context and its influence on mental health and disease. Research on …
with environmental context and its influence on mental health and disease. Research on …
A machine learning analysis of risk and protective factors of suicidal thoughts and behaviors in college students
… James Touthang, BA contributed to data analysis and revisions to the manuscript. Timothy
McDermott, BA and Kelly Cosgrove, BA contributed to data collection, intervention delivery, …
McDermott, BA and Kelly Cosgrove, BA contributed to data collection, intervention delivery, …
[HTML][HTML] Web-based graphic representation of the life course of mental health: cross-sectional study across the spectrum of mood, anxiety, eating, and substance use …
Background: Although patient history is essential for informing mental health assessment,
diagnosis, and prognosis, there is a dearth of standardized instruments measuring time-…
diagnosis, and prognosis, there is a dearth of standardized instruments measuring time-…
Test–retest reliability of approach‐avoidance conflict decision‐making during functional magnetic resonance imaging in healthy adults
Neural and behavioral mechanisms during approach‐avoidance conflict decision‐making
are relevant across various psychiatric disorders, particularly anxiety disorders. Studies using …
are relevant across various psychiatric disorders, particularly anxiety disorders. Studies using …
Striatal reactivity during emotion and reward relates to approach–avoidance conflict behaviour and is altered in adults with anxiety or depression
Background: We have previously reported activation in reward, salience and executive
control regions during functional MRI (fMRI) using an approach–avoidance conflict (AAC) …
control regions during functional MRI (fMRI) using an approach–avoidance conflict (AAC) …
[HTML][HTML] Common data elements, scalable data management infrastructure, and analytics workflows for large-scale neuroimaging studies
Neuroscience studies require considerable bioinformatic support and expertise. Numerous
high-dimensional and multimodal datasets must be preprocessed and integrated to create …
high-dimensional and multimodal datasets must be preprocessed and integrated to create …