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

biomarkers cognitive impairments expressive deficit domain motivational deficit domain negative symptoms resting-state fMRI

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2024
Historique:
received: 02 07 2024
accepted: 17 07 2024
medline: 21 8 2024
pubmed: 21 8 2024
entrez: 21 8 2024
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 39165501
doi: 10.3389/fpsyt.2024.1458624
pmc: PMC11333936
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1458624

Informations de copyright

Copyright © 2024 Giuliani, Pezzella, Giordano, Fazio, Mucci, Perrottelli, Blasi, Amore, Rocca, Rossi, Bertolino, Galderisi and Maj.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Luigi Giuliani (L)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Pasquale Pezzella (P)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Giulia Maria Giordano (GM)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Leonardo Fazio (L)

Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy.
Department of Medicine and Surgery, Libera Università Mediterranea Giuseppe Degennaro, Casamassima, Italy.

Armida Mucci (A)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Andrea Perrottelli (A)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Giuseppe Blasi (G)

Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy.

Mario Amore (M)

Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.

Paola Rocca (P)

Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy.

Alessandro Rossi (A)

Department of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L'Aquila, L'Aquila, Italy.

Alessandro Bertolino (A)

Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy.

Silvana Galderisi (S)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Mario Maj (M)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Classifications MeSH