[HTML][HTML] Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning …

K Hilbert, J Böhnlein, C Meinke, AV Chavanne… - NeuroImage, 2024 - Elsevier
Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment
response are a fundamental step towards precision medicine. Past studies demonstrated …

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

P Bhatt, A Sethi, V Tasgaonkar, J Shroff, I Pendharkar… - Brain informatics, 2023 - Springer
Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the
different experiences or characteristics of consciousness/emotions, such as joy, grief, anger …

Objective cognitive functioning in patients with stress-related disorders: a cross-sectional study using remote digital cognitive testing

L Franke Föyen, V Sennerstam, E Kontio, M Lekander… - BMC psychiatry, 2023 - Springer
Background Patients with stress-related mental disorders often report cognitive impairment,
but studies investigating objective cognitive impairment in patients with stress-related …

Individual treatment selection for patients with post-traumatic stress disorder: External validation of a personalised advantage index

J Tait, S Kellett, D Saxon, AK Deisenhofer… - Psychotherapy …, 2024 - Taylor & Francis
Objective To test the predictive accuracy and generalisability of a personalised advantage
index (PAI) model designed to support treatment selection for Post-Traumatic Stress …

A comprehensive review for machine learning on neuroimaging in obsessive-compulsive disorder

X Li, Q Kang, H Gu - Frontiers in Human Neuroscience, 2023 - frontiersin.org
Obsessive-compulsive disorder (OCD) is a common mental disease, which can exist as a
separate disease or become one of the symptoms of other mental diseases. With the …

Single-label machine learning classification revealed some hidden but inter-related causes of five psychotic disorder diseases

HI Okagbue, OA Ijezie, PO Ugwoke… - Heliyon, 2023 - cell.com
Psychotic disorder diseases (PDD) or mental illnesses are group of illnesses that affect the
minds and impair the cognitive ability, retard emotional ability and obstruct the process of …

Why does exposure-based therapy fail in some individuals with obsessive-compulsive disorder?

B Reuter, A Miano, J Wassermann… - Expert Review of …, 2024 - Taylor & Francis
Exposure and response prevention (ERP) is a psychotherapeutic method in that individuals
diagnosed with obsessivecompulsive disorder (OCD)(1) expose themselves to stimuli that …

The use of machine learning to support the therapeutic process–strengths and weaknesses

A Lewanowicz, M Wiśniewski… - Advances in Psychiatry …, 2022 - termedia.pl
Purpose Artificial neural networks,“artificial intelligence” or machine learning now dominate
a number of areas, making many activities automatic and thus affecting the safety and …

Emerging-properties Mapping Using Spatial Embedding Statistics: EMUSES

C Foulon, M Ovando-Tellez, L Talozzi… - arXiv preprint arXiv …, 2024 - arxiv.org
Understanding complex phenomena often requires analyzing high-dimensional data to
uncover emergent properties that arise from multifactorial interactions. Here, we present …

[HTML][HTML] Predicting Dropout From Cognitive Behavioral Therapy for Panic Disorder Using Machine Learning Algorithms

S Ogawa - Journal of Clinical Medicine Research, 2024 - ncbi.nlm.nih.gov
Background Attrition is an important problem in clinical practice and research. However, the
predictors of dropping out from cognitive behavioral therapy (CBT) for panic disorder (PD) …