Evidence map›Paper›PMID 33758682›Full record

ArticleClinical psychological science : a journal of the Association for Psychological Science2020

Neural Connectivity Subtypes Predict Discrete Attentional Bias Profiles Among Heterogeneous Anxiety Patients.

Rebecca B Price, Adriene M Beltz, Mary L Woody, Logan Cummings, Danielle Gilchrist, Greg J Siegle

Abstract read
In one paragraph

Article in Clinical psychological science : a journal of the Association for Psychological Science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rebecca B PriceDepartment of Psychiatry, University of Pittsburgh School of Medicine.
Adriene M BeltzDepartment of Psychology, University of Michigan.
Mary L WoodyDepartment of Psychiatry, University of Pittsburgh School of Medicine.
Logan CummingsDepartment of Psychology, Florida International University.
Danielle GilchristDepartment of Psychiatry, University of Pittsburgh School of Medicine.
Greg J SiegleDepartment of Psychiatry, University of Pittsburgh School of Medicine.

Funding

Neural Dimensions of Attention Bias Modification for Transdiagnostic AnxietyK23MH100259 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRICE, REBECCA · 2013 to 2017
$788k
NIMH NIH HHS K23 MH100259
6 · The paper itself

Abstract

On average, anxious patients show altered attention to threat-including early vigilance towards threat and later avoidance of threat-accompanied by altered functional connectivity across brain regions. However, substantial heterogeneity within clinical, neural, and attentional features of anxiety is overlooked in typical group-level comparisons. We used a well-validated method for data-driven parsing of neural connectivity to reveal connectivity-based subgroups among 60 adults with transdiagnostic anxiety. Subgroups were externally compared on attentional patterns derived from independent behavioral measures. Two subgroups emerged. Subgroup A (68% of patients) showed stronger executive network influences on sensory processing regions and a paradigmatic "vigilance-avoidance" pattern on external behavioral measures. Subgroup B was defined by a larger number of limbic influences on sensory regions and exhibited a more atypical and inconsistent attentional profile. Neural connectivity-based categorization revealed an atypical, limbic-driven pattern of connectivity in a subset of anxious patients that generalized to atypical patterns of selective attention.

Indexed as

anxietyattentional biascommunity detectionfMRIindividual-level functional connectivity

Identifiers

PMID33758682
PMCPMC7983837

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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.