Evidence map›Paper›PMID 41668511›Full record

ArticleBrain and behavior2026

A Network Analysis of Panic Disorder, Agoraphobia, and Generalized Anxiety Disorder in 463 Patients From a Psychiatric Hospital.

Emanuela Pizzolla, Juan Martin Tecco, Moritz Bruno Petzold, Giovanni Briganti

Abstract read
In one paragraph

Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Emanuela PizzollaDepartment of Computational Medicine and Neuropsychiatry, Faculty of Medicine, University of Mons, Mons, Belgium.
Juan Martin TeccoCHUP-MB, Department of Adult and Child Psychiatry, Mons, Belgium.
Moritz Bruno PetzoldDepartment of Psychology, Medical School Berlin, Berlin, Germany.
Giovanni BrigantiDepartment of Computational Medicine and Neuropsychiatry, Faculty of Medicine, University of Mons, Mons, Belgium.

Funding

Centre Hospitalier Universitaire et Psychiatrique de Mons BorinageFEDER/FTJ Wallonie 2021-2027 Portefeuille de projets 327Médecine des Réseaux et des Systèmes UMONS_AI for Brain n°747
6 · The paper itself

Abstract

introductionPanic disorder, agoraphobia, and generalized anxiety disorder (GAD) frequently co-occur and share overlapping symptoms, yet it remains unclear whether they reflect distinct or interconnected symptom systems. This study examined the network structure of these disorders using clinician-administered diagnostic data.

methodsA total of 463 adults completed the Mini International Neuropsychiatric Interview (M.I.N.I.) conducted by trained clinicians. Eighteen items from the panic disorder, agoraphobia, and GAD modules were retained after a multistep selection procedure ensuring clinical relevance, endorsement variability, and nonredundancy. A binary Ising network was estimated using eLASSO with EBIC model selection. Network accuracy, stability, and edge differences were evaluated through nonparametric bootstrapping.

resultsThe estimated network revealed two well-defined symptom clusters corresponding to (1) panic-agoraphobia and (2) GAD. Within the panic-agoraphobia cluster, physiological symptoms (e.g., palpitations, shortness of breath, sweating, dizziness) were tightly interconnected, and catastrophic cognitions (fear of dying, fear of losing control) were moderately linked to bodily sensations. Agoraphobia symptoms were strongly connected to each other but relatively peripheral to other panic symptoms. The GAD cluster was anchored by difficulty controlling worry, which emerged as the most central symptom and showed strong associations with restlessness, sleep disturbance, fatigue, and irritability. Notably, no direct edges were found between panic-agoraphobia and GAD symptoms, suggesting distinct anxiety systems.

conclusionThese findings indicate that fear-based and worry-based anxiety symptoms form separable yet clinically relevant structures. Focusing on core processes like excessive worry and interoceptive regulation could enhance the specificity of interventions and more effectively disrupt anxiety maintenance mechanisms.

Indexed as

AgoraphobiaGeneralized Anxiety DisorderPanic DisorderAdultComorbidityFemaleHospitals, PsychiatricHumansMaleMiddle AgedYoung Adultanxiety disorderscomorbiditygadnetwork analysispsychiatry

Identifiers

PMID41668511
PMCPMC12891977

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.