Psychiatry

The Lack of Neurofeedback Training Regulation Guidance and Process Evaluation May be a Source of Controversy in Post-Traumatic Stress Disorder-Neurofeedback Research: A Systematic Review and Statistical Analysis.

Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive interventions for post-traumatic stress disorder (PTSD). However, existing research lacks comprehensive methodologies and experimental designs. There are concerns in the field regarding the effectiveness and mechanistic interpretability of NF, prompting this study to conduct a systematic analysis of...

QSPR analysis of physico-chemical and pharmacological properties of medications for Parkinson's treatment utilizing neighborhood degree-based topological descriptors.

Topological indices are invariant quantitative metrics associated with a molecular graph, which characterize the bonding topology of a molecule. The main aim of analyzing topological indices is to summarize and transform chemical structural information, thus creating a mathematical relationship between structures and their physico-chemical properties, biological activities, and other experimental ...

Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning.

Clinical course after first episode psychosis (FEP) is heterogeneous. Subgrouping and predicting longitudinal symptom trajectories after FEP may help ...

Degradation studies on lurasidone hydrochloride using validated reverse phase HPLC and LC-MS/MS.

1. The research aims to develop and validate a stability-indicating reverse phase high-performance liquid chromatography (RP-HPLC) method for Lurasido...

A controlled trial examining large Language model conformity in psychiatric assessment using the Asch paradigm.

BACKGROUND: Despite significant advances in AI-driven medical diagnostics, the integration of large language models (LLMs) into psychiatric practice p...

Assessing the impact of AI on physician decision-making for mental health treatment in primary care.

AI models may soon be poised to recommend mental health treatments or referrals in primary care, yet little is known regarding their impact on physici...

Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment.

: A comorbidity between Borderline Personality Disorder (BPD) and Posttraumatic Stress Disorder (PTSD) is common, severely disabling, and hard to trea...

Nursing Students' Perceptions of AI-Driven Mental Health Support and Its Relationship with Anxiety, Depression, and Seeking Professional Psychological Help: Transitioning from Traditional Counseling to Digital Support.

: The integration of artificial intelligence (AI) into mental health care is reshaping psychological support systems, particularly for digitally liter...

Classifying Obsessive-Compulsive Disorder from Resting-State EEG using Convolutional Neural Networks: A Pilot Study.

OBJECTIVE: Classifying obsessive-compulsive disorder (OCD) using brain data remains challenging. Resting-state electroencephalography (EEG) offers an ...

Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program.

Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often relied on self-reported activity measures or short-t...

Systemic therapy informed self-help and paraprofessional training in a naturalistic setting: study protocol of a digital randomised trial.

BACKGROUND: Multiple studies have shown the efficacy of Systemic Psychotherapy (ST) approaches as a promising path to address various mental health di...

Tailored pharmacotherapy monitoring in Parkinson's disease and Schizophrenia using a rapid and sensitive α-Synuclein assay.

BACKGROUND: While Parkinson's disease is a low dopamine neurodegenerative disorder, Schizophrenia is considered a high dopamine psychiatric disorder. ...

Incorporating AI Into Military Behavioral Health: A Narrative Review.

INTRODUCTION: Concerns regarding suicide rates and declining mental health among service members highlight the need for impactful approaches to addres...

Exploring Therapists' Approaches to Treating Eating Disorders to Inform User-Centric App Design: Web-Based Interview Study.

BACKGROUND: The potential for digital interventions in self-management and treatment of mild to moderate eating disorders (EDs) has already been estab...

WavFace: A Multimodal Transformer-Based Model for Depression Screening.

Depression, a prevalent mental health disorder with severe health and economic consequences, can be costly and difficult to detect. To alleviate this ...

AI-driven early diagnosis of specific mental disorders: a comprehensive study.

One of the areas where artificial intelligence (AI) technologies are used is the detection and diagnosis of mental disorders. AI approaches, including...

Effective Autism Classification Through Grasping Kinematics.

Autism is a complex neurodevelopmental condition, where motor abnormalities play a central role alongside social and communication difficulties. These...

The Applications of Large Language Models in Mental Health: Scoping Review.

BACKGROUND: Mental health is emerging as an increasingly prevalent public issue globally. There is an urgent need in mental health for efficient detec...

Game Design, Effectiveness, and Implementation of Serious Games Promoting Aspects of Mental Health Literacy Among Children and Adolescents: Systematic Review.

BACKGROUND: The effects of traditional health-promoting and preventive interventions in mental health and mental health literacy are often attenuated ...

How digital therapeutic alliances influence the perceived helpfulness of online mental health Q&A: An explainable machine learning approach.

OBJECTIVE: This study investigates the role of digital therapeutic alliance (DTA) in predicting and explaining the perceived helpfulness of responses ...