Evidence map›Paper›PMID 29876260›Full record

ArticleNeuroImage. Clinical2018

Disrupted modular organization of primary sensory brain areas in schizophrenia.

Cécile Bordier, Carlo Nicolini, Giulia Forcellini, Angelo Bifone

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 59 citations in OpenAlex.

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  3. Relapse in alcohol dependence is characterized by disrupted modular brain network organization.European archives of psychiatry and clinical neuroscience · 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

4 authors at 2 institutions in 1 country.

Cécile BordierCenter for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, TN, Italy. Electronic address: cecile.bordier@iit.it.
Carlo NicoliniCenter for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, TN, Italy; University of Verona, Verona, Italy.
Giulia ForcelliniCenter for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, TN, Italy; Center for Mind/Brain Sciences, CIMeC, University of Trento, Rovereto, Italy.
Angelo BifoneCenter for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, TN, Italy. Electronic address: angelo.bifone@iit.it.
Italian Institute of Technology · ITCenter for Neuroscience and Cognitive Systems · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal brain resting-state functional connectivity has been consistently observed in patients affected by schizophrenia (SCZ) using functional MRI and other neuroimaging techniques. Graph theoretical methods provide a framework to investigate these defective functional interactions and their effects on the organization of brain connectivity networks. A few studies have shown altered distribution of connectivity within and between functional modules in SCZ patients, an indication of imbalanced functional segregation ad integration. However, no major alterations of modular organization have been reported in patients, and unambiguous identification of the neural substrates affected remains elusive. Recently, it has been demonstrated that current modularity analysis methods suffer from a fundamental and severe resolution limit, as they fail to detect features that are smaller than a scale determined by the size of the entire connectivity network. This resolution limit is likely to have hampered the ability to resolve differences between patients and controls in previous studies. Here, we apply Surprise, a novel resolution limit-free approach, to study the modular organization of resting state functional connectivity networks in a large cohort of SCZ patients and in matched healthy controls. Leveraging these important methodological advances we find new evidence of substantial fragmentation and reorganization involving primary sensory, auditory and visual areas in SCZ patients. Conversely, frontal and prefrontal areas, typically associated with higher cognitive functions, appear to be largely unaffected, with changes selectively involving language and speech processing areas. Our findings support the hypothesis that cognitive dysfunction in SCZ may involve deficits occurring already at early stages of sensory processing.

Indexed as

AdultBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetSchizophreniaSomatosensory CortexYoung AdultAsymptotical surpriseCommunity detectionComplex networksFunctional connectivityGraph theoryModularitySchizophreniaSurprise

Identifiers

PMID29876260
PMCPMC5987872
OpenAlexW2949345077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.