Evidence map›Paper›PMID 31001171›Full record

ArticleFrontiers in psychology2019

Cognitive Profiles and Functional Connectivity in First-Episode Schizophrenia Spectrum Disorders - Linking Behavioral and Neuronal Data.

Mabel Rodriguez, Yuliya Zaytseva, Aneta Cvrčková, Boris Dvořaček, Aneta Dorazilová, Juraj Jonáš, Petra Šustová, Veronika Voráčková, Marie Hájková, Zuzana Kratochvílová and 2 more

Abstract read
In one paragraph

Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  5. Accelerated DMN-Targeted cTBS Improves Processing Speed Deficits in Schizophrenia.medRxiv : the preprint server for health sciences · 2026
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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

12 authors.

Mabel RodriguezNational Institute of Mental Health, Klecany, Czechia.
Yuliya ZaytsevaNational Institute of Mental Health, Klecany, Czechia.
Aneta CvrčkováNational Institute of Mental Health, Klecany, Czechia.
Boris DvořačekNational Institute of Mental Health, Klecany, Czechia.
Aneta DorazilováNational Institute of Mental Health, Klecany, Czechia.
Juraj JonášNational Institute of Mental Health, Klecany, Czechia.
Petra ŠustováNational Institute of Mental Health, Klecany, Czechia.
Veronika VoráčkováNational Institute of Mental Health, Klecany, Czechia.
Marie HájkováNational Institute of Mental Health, Klecany, Czechia.
Zuzana KratochvílováNational Institute of Mental Health, Klecany, Czechia.
Filip ŠpanielNational Institute of Mental Health, Klecany, Czechia.
Pavel MohrNational Institute of Mental Health, Klecany, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The character of cognitive deficit in schizophrenia is not clear due to the heterogeneity in research results. In heterogeneous conditions, the cluster solution allows the classification of individuals based on profiles. Our aim was to examine the cognitive profiles of first-episode schizophrenia spectrum disorder (FES) subjects based on cluster analysis, and to correlate these profiles with clinical variables and resting state brain connectivity, as measured with magnetic resonance imaging. A total of 67 FES subjects were assessed with a neuropsychological test battery and on clinical variables. The results of the cognitive domains were cluster analyzed. In addition, functional connectivity was calculated using ROI-to-ROI analysis with four groups: Three groups were defined based on the cluster analysis of cognitive performance and a control group with a normal cognitive performance. The connectivity was compared between the patient clusters and controls. We found different cognitive profiles based on three clusters: Cluster 1: decline in the attention, working memory/flexibility, and verbal memory domains. Cluster 2: decline in the verbal memory domain and above average performance in the attention domain. Cluster 3: generalized and severe deficit in all of the cognitive domains. FES diagnoses were distributed among all of the clusters. Cluster comparisons in neural connectivity also showed differences between the groups. Cluster 1 showed both hyperconnectivity between the cerebellum and precentral gyrus, the salience network (SN) (insula cortex), and fronto-parietal network (FPN) as well as between the PreCG and SN (insula cortex) and hypoconnectivity between the default mode network (DMN) and seeds of SN [insula and supramarginal gyrus (SMG)]; Cluster 2 showed hyperconnectivity between the DMN and cerebellum, SN (insula) and precentral gyrus, and FPN and IFG; Cluster 3 showed hypoconnectivity between the DMN and SN (insula) and SN (SMG) and pallidum. The cluster solution confirms the prevalence of a cognitive decline with different patterns of cognitive performance, and different levels of severity in FES. Moreover, separate behavioral cognitive subsets can be linked to patterns of brain functional connectivity.

Indexed as

cluster analysiscognitive deficitcognitive profilesfirst episodesheterogeneityresting state functional connectivityschizophrenia

Identifiers

PMID31001171
PMCPMC6454196

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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.