Artificial intelligence in mental health: innovations brought by artificial intelligence techniques in stress detection and interventions of building resilience

F Liu, Q Ju, Q Zheng, Y Peng - Current Opinion in Behavioral Sciences, 2024 - Elsevier
Highlights•AI enables early detection and large-scale monitoring of stress-related
issues.•LLM improves stress detection using advanced natural language processing …

Application of deep learning in fMRI-based human brain parcellation: a review

Y Li, X Chen, Q Ling, Z He, A Liu - Measurement Science and …, 2023 - iopscience.iop.org
Functional magnetic resonance imaging (fMRI)-based human brain parcellation reveals
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) …

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 …

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 …

Decoding and modifying dynamic attentional bias in gaming disorder

T Oka, T Kubo, N Kobayashi… - Philosophical …, 2024 - royalsocietypublishing.org
With the spread of smartphones and computer games, concerns have escalated regarding
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

T Berman, C Cushing, S Manuel… - Philosophical …, 2024 - royalsocietypublishing.org
Pain is a complex emotional experience that still remains challenging to manage. Previous
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 …

Mapping the evolution of neurofeedback research: a bibliometric analysis of trends and future directions

W Wider, JA Mutang, BS Chua, NTP Pang… - Frontiers in Human …, 2024 - frontiersin.org
Introduction This study conducts a bibliometric analysis on neurofeedback research to
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) …