Artificial intelligence in mental health: innovations brought by artificial intelligence techniques in stress detection and interventions of building resilience
Highlights•AI enables early detection and large-scale monitoring of stress-related
issues.•LLM improves stress detection using advanced natural language processing …
issues.•LLM improves stress detection using advanced natural language processing …
Application of deep learning in fMRI-based human brain parcellation: a review
Functional magnetic resonance imaging (fMRI)-based human brain parcellation reveals
brain fundamental organizational principles noninvasively, providing prior guidance for …
brain fundamental organizational principles noninvasively, providing prior guidance for …
Biofeedback Interventions for Impulsivity-related Processes in Addictive Disorders
I Lucas, N Solé-Morata, I Baenas, M Rosinska… - Current Addiction …, 2023 - Springer
Abstract Purpose of Review Biofeedback is a promising technique that has been used as a
treatment tool for different psychological disorders. In this regard, central (neurofeedback) …
treatment tool for different psychological disorders. In this regard, central (neurofeedback) …
Preliminary findings on long‐term effects of fMRI neurofeedback training on functional networks involved in sustained attention
GSP Pamplona, J Heldner, R Langner… - Brain and …, 2023 - Wiley Online Library
Introduction Neurofeedback based on functional magnetic resonance imaging allows for
learning voluntary control over one's own brain activity, aiming to enhance cognition and …
learning voluntary control over one's own brain activity, aiming to enhance cognition and …
Computationally informed interventions for targeting compulsive behaviors
T Kahnt - Biological psychiatry, 2023 - Elsevier
Compulsive behaviors are central to addiction and obsessive-compulsive disorder and can
be understood as a failure of adaptive decision making. Particularly, they can be …
be understood as a failure of adaptive decision making. Particularly, they can be …
Decoding and modifying dynamic attentional bias in gaming disorder
With the spread of smartphones and computer games, concerns have escalated regarding
the rising prevalence of gaming disorder. Patients often display attentional biases …
the rising prevalence of gaming disorder. Patients often display attentional biases …
Modulating subjective pain perception with decoded Montreal Neurological Institute-space neurofeedback: a proof-of-concept study
Pain is a complex emotional experience that still remains challenging to manage. Previous
functional magnetic resonance imaging (fMRI) studies have associated pain with distributed …
functional magnetic resonance imaging (fMRI) studies have associated pain with distributed …
[HTML][HTML] RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI
G Wallace, S Polcyn, PP Brooks, AC Mennen, K Zhao… - NeuroImage, 2022 - Elsevier
Real-time fMRI (RT-fMRI) neurofeedback has been shown to be effective in treating
neuropsychiatric disorders and holds tremendous promise for future breakthroughs, both …
neuropsychiatric disorders and holds tremendous promise for future breakthroughs, both …
Mapping the evolution of neurofeedback research: a bibliometric analysis of trends and future directions
Introduction This study conducts a bibliometric analysis on neurofeedback research to
assess its current state and potential future developments. Methods It examined 3,626 …
assess its current state and potential future developments. Methods It examined 3,626 …
Spatial-temporal data-augmentation-based functional brain network analysis for brain disorders identification
Q Liu, Y Zhang, L Guo, ZX Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Due to the lack of devices and the difficulty of gathering patients, the small
sample size is one of the most challenging problems in functional brain network (FBN) …
sample size is one of the most challenging problems in functional brain network (FBN) …