AIMC Topic: Panic Disorder

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Clinical, genetic, and sociodemographic predictors of symptom severity after internet-delivered cognitive behavioural therapy for depression and anxiety.

BMC psychiatry May 30, 2025
BACKGROUND: Internet-delivered cognitive behavioural therapy (ICBT) is an effective and accessible treatment for mild to moderate depression and anxiety disorders. However, up to 50% of patients do not achieve sufficient symptom relief. Identifying p...
Depressive Disorder, Major Anxiety Disorders Severity of Illness Index Treatment Outcome Adult Male Middle Aged Cognitive Behavioral Therapy Multifactorial Inheritance Internet-Based Intervention Panic Disorder Registries Internet Phobia, Social Sweden Young Adult Humans Female
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A digital phenotyping dataset for impending panic symptoms: a prospective longitudinal study.

Scientific data Nov 21, 2024
This study investigated the utilization of digital phenotypes and machine learning algorithms to predict impending panic symptoms in patients with mood and anxiety disorders. A cohort of 43 patients was monitored over a two-year period, with data col...
Humans Machine Learning Algorithms Phenotype Smartphone Male Longitudinal Studies Prospective Studies Anxiety Disorders Panic Disorder Female Wearable Electronic Devices Adult
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Influence of panic disorder and paroxetine on brain functional hubs in drug-free patients.

Journal of psychopharmacology (Oxford, England) Sep 23, 2024
BACKGROUND: The effects of panic disorder (PD) and pharmacotherapy on brain functional hubs in drug-free patients, and the utility of their degree centrality (DC) in diagnosing and predicting treatment response (TR) for PD, remained unclear.
Case-Control Studies Treatment Outcome Support Vector Machine Magnetic Resonance Imaging Adult Male Middle Aged Paroxetine Selective Serotonin Reuptake Inhibitors Panic Disorder Female Young Adult Humans Brain
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Predicting treatment outcomes in patients with panic disorder: Cross-sectional and two-year longitudinal structural connectome analysis using machine learning methods.

Journal of anxiety disorders Jul 26, 2024
PURPOSE: This study examined the relationship between structural brain networks and long-term treatment outcomes in patients with panic disorder (PD) using machine learning methods.
Connectome Diffusion Tensor Imaging Humans Panic Disorder Magnetic Resonance Imaging Machine Learning Middle Aged Brain Cerebral Cortex Treatment Outcome White Matter Longitudinal Studies Female Cross-Sectional Studies Adult Male
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Discrimination between healthy participants and people with panic disorder based on polygenic scores for psychiatric disorders and for intermediate phenotypes using machine learning.

The Australian and New Zealand journal of psychiatry Apr 6, 2024
OBJECTIVE: Panic disorder is a modestly heritable condition. Currently, diagnosis is based only on clinical symptoms; identifying objective biomarkers and a more reliable diagnostic procedure is desirable. We investigated whether people with panic di...
Humans Female Adult Machine Learning Phenotype Genome-Wide Association Study Support Vector Machine Multifactorial Inheritance Panic Disorder Male Middle Aged Case-Control Studies
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Sleep, physical activity and panic attacks: A two-year prospective cohort study using smartwatches, deep learning and an explainable artificial intelligence model.

Sleep medicine Dec 22, 2023
BACKGROUND: Sleep and physical activity suggestions for panic disorder (PD) are critical but less surveyed. This two-year prospective cohort study aims to predict panic attacks (PA), state anxiety (SA), trait anxiety (TA) and panic disorder severity ...
Sleep Panic Disorder Artificial Intelligence Prospective Studies Deep Learning Humans
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Understanding importance of clinical biomarkers for diagnosis of anxiety disorders using machine learning models.

PloS one May 10, 2021
Anxiety disorders are a group of mental illnesses that cause constant and overwhelming feelings of anxiety and fear. Excessive anxiety can make an individual avoid work, school, family get-togethers, and other social situations that in turn might amp...
Panic Disorder Agoraphobia Humans Biomarkers Middle Aged Machine Learning Phobia, Social Female Anxiety Disorders Databases, Factual Netherlands Male
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Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years.

Journal of affective disorders Dec 27, 2020
BACKGROUND: Recent studies have demonstrated that passive smartphone and wearable sensor data collected throughout daily life can predict anxiety symptoms cross-sectionally. However, to date, no research has demonstrated the capacity for these digita...
Panic Disorder Deep Learning Wearable Electronic Devices Longitudinal Studies Humans Anxiety Disorders
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Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach.

Journal of psychiatric research Dec 6, 2019
A growing literature is utilizing machine learning methods to develop psychopathology risk algorithms that can be used to inform preventive intervention. However, efforts to develop algorithms for internalizing disorder onset have been limited. The g...
Health Surveys Risk Assessment Anxiety Disorders Longitudinal Studies Depressive Disorder Humans Bipolar Disorder Phobia, Social Panic Disorder Machine Learning Adult
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