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Frontiers in Public Health
|
December 5, 2024
The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach
Vanessa Juergensen, Lina-Jolien Peter, David Steyrl, et al.
Scientific Data
|
April 10, 2025
SpiderPhy dataset: A multimodal dataset of Physiological, Psychometric and Behavioral Responses to fear stimuli
Cindy S Lor, David Steyrl, Alexander Karner, et al.
Plos One
|
March 11, 2021
Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study
Stephanie Josephine Eder, David Steyrl, Michal Mikolaj Stefanczyk, et al.
Frontiers in Psychology
|
August 9, 2021
Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style
Stephanie J Eder, Andrew A Nicholson, Michal M Stefanczyk, et al.
Npj Climate Action
|
May 12, 2025
Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors
Boryana Todorova, David Steyrl, Matthew J Hornsey, et al.
NPJ Parkinson'S Disease
|
November 19, 2025
Neuropsychological insights into creativity in people with Parkinson's disease
Sara Zeggio, David Steyrl, Matthew Pelowski, et al.
Progress in Neuro-Psychopharmacology & Biological Psychiatry
|
October 24, 2024
Exploring the impact of biological sex on intrinsic connectivity networks in PTSD: A data-driven approach
Andrew A Nicholson, Jonathan M Lieberman, Niki Hosseini-Kamkar, et al.
Psychological Trauma : Theory, Research, Practice and Policy
|
November 27, 2023
Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles
Anna H Park, Herry Patel, James Mirabelli, et al.
Brain and Behavior
|
February 15, 2023
Posterior cingulate cortex targeted real-time fMRI neurofeedback recalibrates functional connectivity with the amygdala, posterior insula, and default-mode network in PTSD
Jonathan M Lieberman, Daniela Rabellino, Maria Densmore, et al.
Frontiers in Neuroscience
|
December 14, 2023
A tale of two targets: examining the differential effects of posterior cingulate cortex- and amygdala-targeted fMRI-neurofeedback in a PTSD pilot study
Jonathan M Lieberman, Daniela Rabellino, Maria Densmore, et al.
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of 5
Search research articles
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Showing results (31-40 of 43) with videos related to
Sort By:
Page
of 5
Frontiers in Public Health
|
December 5, 2024
The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach
Vanessa Juergensen, Lina-Jolien Peter, David Steyrl, et al.
Scientific Data
|
April 10, 2025
SpiderPhy dataset: A multimodal dataset of Physiological, Psychometric and Behavioral Responses to fear stimuli
Cindy S Lor, David Steyrl, Alexander Karner, et al.
Plos One
|
March 11, 2021
Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study
Stephanie Josephine Eder, David Steyrl, Michal Mikolaj Stefanczyk, et al.
Frontiers in Psychology
|
August 9, 2021
Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style
Stephanie J Eder, Andrew A Nicholson, Michal M Stefanczyk, et al.
Npj Climate Action
|
May 12, 2025
Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors
Boryana Todorova, David Steyrl, Matthew J Hornsey, et al.
NPJ Parkinson'S Disease
|
November 19, 2025
Neuropsychological insights into creativity in people with Parkinson's disease
Sara Zeggio, David Steyrl, Matthew Pelowski, et al.
Progress in Neuro-Psychopharmacology & Biological Psychiatry
|
October 24, 2024
Exploring the impact of biological sex on intrinsic connectivity networks in PTSD: A data-driven approach
Andrew A Nicholson, Jonathan M Lieberman, Niki Hosseini-Kamkar, et al.
Psychological Trauma : Theory, Research, Practice and Policy
|
November 27, 2023
Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles
Anna H Park, Herry Patel, James Mirabelli, et al.
Brain and Behavior
|
February 15, 2023
Posterior cingulate cortex targeted real-time fMRI neurofeedback recalibrates functional connectivity with the amygdala, posterior insula, and default-mode network in PTSD
Jonathan M Lieberman, Daniela Rabellino, Maria Densmore, et al.
Frontiers in Neuroscience
|
December 14, 2023
A tale of two targets: examining the differential effects of posterior cingulate cortex- and amygdala-targeted fMRI-neurofeedback in a PTSD pilot study
Jonathan M Lieberman, Daniela Rabellino, Maria Densmore, et al.
Page
of 5