Evidence map›Paper›PMID 42223492›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2026

Increased beta-band salience network connectivity predicts 12-month longitudinal changes in depressive and anxiety symptom severity in young adults: a resting-state EEG study.

Claudio Imperatori, Mauro Adenzato, Simone Messerotti Benvenuti, Elena De Rossi, Giorgia Allegrini, Carola Dell'Acqua, Giuseppe Alessio Carbone, Rita B Ardito, Benedetto Farina

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In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Claudio ImperatoriExperimental and Applied Psychology Laboratory, Department of Health and Life Sciences, European University of Rome, Rome, Italy.
Mauro AdenzatoDepartment of Psychology, University of Turin, Turin, Italy.
Simone Messerotti BenvenutiDepartment of General Psychology, University of Padua, Padua, Italy.
Elena De RossiExperimental and Applied Psychology Laboratory, Department of Health and Life Sciences, European University of Rome, Rome, Italy.
Giorgia AllegriniExperimental and Applied Psychology Laboratory, Department of Health and Life Sciences, European University of Rome, Rome, Italy.
Carola Dell'AcquaDepartment of General Psychology, University of Padua, Padua, Italy.
Giuseppe Alessio CarboneFaculty of Psychology and Educational Sciences, University of Geneva, 40, Boulevard du Pont-d'Arve, 1205, Geneva, Switzerland.
Rita B ArditoDepartment of Psychology, University of Turin, Turin, Italy. rita.ardito@unito.it.
Benedetto FarinaExperimental and Applied Psychology Laboratory, Department of Health and Life Sciences, European University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neural dynamics of large-scale brain networks that may be longitudinally associated with changes in depression and anxiety (DEPANX) symptom severity remain relatively understudied. We aimed to examine the relationship between the electrophysiological dynamics of the three-core resting-state networks (RSNs) and 12-month longitudinal changes in DEPANX symptom severity. Ninety-five participants (70 females; mean age: 21.35 ± 2.65 years) completed baseline (Time #1) and 12-month follow-up (Time #2) assessments. At Time #1 data about DEPANX symptoms and related variables (e.g., emotion regulation, familiarity for depression and anxiety) were collected. A resting-state electroencephalogram (EEG) recording was also collected. At Time #2 levels of DEPANX symptoms were assessed again. EEG data were analysed using the Exact Low-Resolution Electromagnetic Tomography software (eLORETA). We found that baseline SN connectivity, particularly bilateral insula beta coherence, was associated (r = 0.371; p

Indexed as

AnxietyBeta RhythmCerebral CortexConnectomeDepressionNerve NetAdultElectroencephalographyFemaleHumansLongitudinal StudiesMaleSeverity of Illness IndexYoung AdultAnxietyDepressionEEGeLORETAResting-state networks

Identifiers

PMID42223492
PMCPMC13481738

What OpenQuestion holds

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Registered trials

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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.