Frontiers in Psychiatry (Aug 2024)

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

  • Luigi Giuliani,
  • Pasquale Pezzella,
  • Giulia Maria Giordano,
  • Leonardo Fazio,
  • Leonardo Fazio,
  • Armida Mucci,
  • Andrea Perrottelli,
  • Giuseppe Blasi,
  • Mario Amore,
  • Paola Rocca,
  • Alessandro Rossi,
  • Alessandro Bertolino,
  • Silvana Galderisi,
  • Mario Maj

DOI
https://doi.org/10.3389/fpsyt.2024.1458624
Journal volume & issue
Vol. 15

Abstract

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BackgroundThe 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.MethodsSixty-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.ResultsAttention/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.ConclusionNeurocognitive 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.

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