Evidence map›Paper›PMID 39165501›Full record

ArticleFrontiers in psychiatry2024

Illness-related variables and abnormalities of resting-state brain activity in schizophrenia.

Luigi Giuliani, Pasquale Pezzella, Giulia Maria Giordano, Leonardo Fazio, Armida Mucci, Andrea Perrottelli, Giuseppe Blasi, Mario Amore, Paola Rocca, Alessandro Rossi and 3 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Resting-state functional connectivity and cognitive impairment after COVID-19 infection: Evidence from a large-scale fMRI study.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  3. Article
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

13 authors.

Luigi GiulianiDepartment of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.
Pasquale PezzellaDepartment of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.
Giulia Maria GiordanoDepartment of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.
Leonardo FazioDepartment of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy.
Armida MucciDepartment of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.
Andrea PerrottelliDepartment of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.
Giuseppe BlasiDepartment of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy.
Mario AmoreDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
Paola RoccaDepartment of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy.
Alessandro RossiDepartment of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L'Aquila, L'Aquila, Italy.
Alessandro BertolinoDepartment of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy.
Silvana GalderisiDepartment of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.
Mario MajDepartment of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The development of neuroimaging biomarkers in patients with schizophrenia (SCZ) requires a refined clinical characterization. A limitation of the neuroimaging literature is the partial uptake of progress in characterizing disease-related features, particularly negative symptoms (NS) and cognitive impairment (CI). In the present study, we assessed NS and CI using up-to-date instruments and investigated the associations of abnormalities in brain resting-state (rs)-activity with disease-related features. Methods: Sixty-two community-dwelling SCZ subjects participated in the study. Multiple regression analyses were performed with the rs-activity of nine regions of interest as dependent variables and disease-related features as explanatory variables. Results: Attention/vigilance deficits were negatively associated with dorsal anterior cingulate rs-activity and, together with depression, were positively associated with right dorsolateral prefrontal cortex rs-activity. These deficits and impairment of Reasoning/problem-solving, together with conceptual disorganization, were associated with right inferior parietal lobule and temporal parietal junction rs-activity. Independent of other features, the NS Expressive Deficit domain was associated with the left ventral caudate, while the Motivational Deficit was associated with the dorsal caudate rs-activity. Conclusion: Neurocognitive deficits and the two negative symptom domains are associated with different neural markers. Replications of these findings could foster the identification of clinically actionable biomarkers of poor functional outcomes.

Indexed as

biomarkerscognitive impairmentsexpressive deficit domainmotivational deficit domainnegative symptomsresting-state fMRI

Identifiers

PMID39165501
PMCPMC11333936

What Socratic 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 Socratic graph.