Brain Structural and Functional Neuroimaging Features are Associated With Improved Auditory Hallucinations in Patients With Schizophrenia After Real‐Time fMRI Neurofeedback DOI Creative Commons
Jiahe Zhang,

Emma Tusuzian,

Francesca Morfini

et al.

Depression and Anxiety, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Auditory hallucinations (AHs) are debilitating and often treatment-resistant symptoms of schizophrenia (SZ). Real-time functional magnetic resonance imaging (fMRI) neurofeedback (NFB) is emerging as a flexible brain circuit-based tool for targeting AH via self-modulation activity. A better understanding what baseline characteristics predict NFB success will enhance its clinical utility. Previous work suggests that symptomology implicates measures across multiple modalities, including T1 structural MRI (sMRI), diffusion-weighted (dMRI), resting-state fMRI (rsfMRI). Specifically, severity treatment response associated with thinner superior temporal gyrus (STG), dorsolateral prefrontal cortex (DLPFC), reduced white matter integrity in tracts connecting regions implicated SZ symptomatology, increased within-default mode network (DMN) connectivity, DMN-DLPFC anticorrelation. In this study, we tested the individual combined contributions multimodal features prediction change after adults (N = 25, 36.1 ± 10.0 years, 24% females) spectrum disorders (SZ or schizoaffective disorder) frequent medication-resistant AH. Participants underwent scan (including sMRI, dMRI, rsfMRI) were randomly assigned to receive from their STG (n 12, real condition) motor (MC) 13, sham condition). was operationalized improvement NFB. We found higher severity, greater thickness, decreased dorsal cingulum integrity, within-DMN anticorrelation each individually correlated reduction severity. However, regression model, connectivity emerged only independent variable explained unique variance change. These results suggest specific rsfMRI measure, namely may be promising predictor reducing support precision medicine approach. Trial Registration: ClinicalTrials.gov identifier: NCT03504579.

Language: Английский

Real-time fMRI neurofeedback reduces default mode network and auditory cortex functional connectivity in schizophrenia DOI Creative Commons
Jiahe Zhang, Clemens Bauer, Francesca Morfini

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

ABSTRACT Background and Hypothesis Auditory verbal hallucinations (AHs) are a cardinal symptom of schizophrenia that can cause distress but not always responsive to antipsychotic medications. There is critical need develop novel interventions target neural mechanisms underlying AHs. We developed real-time fMRI neurofeedback (NFB) paradigm for AHs aims at modulating default mode network (DMN) functional connectivity. Study Design Patients with or schizoaffective disorders who were experiencing ( N = 25) attempted decrease brain activation while listening sentences recorded in another person’s voice increase their own voice. Participants randomly assigned the ‘real’ group n 12) received based on signals from auditory cortex superior temporal gyrus (STG) those ‘sham’ 13) motor signals. Results Analyzing resting state data collected pre- post-NFB, we found that: (1) baseline, stronger within-DMN connectivity between medial prefrontal (MPFC) posterior cingulate was associated higher severity; (2) after NFB, participants real group, compared sham showed greater reduction MPFC cortices STG middle (MTG). Notably, MPFC-STG/MTG all group. Conclusions These findings suggest NFB effectively non-invasively modulate regions psychosis.

Language: Английский

Citations

1
IUPHAR Review: Computational Psychiatry 2.0. A new tool for Supporting Combination therapy of Psychopharmacology with Neuromodulation in Schizophrenia DOI Creative Commons
Hugo Geerts

Pharmacological Research, Journal Year: 2025, Volume and Issue: unknown, P. 107718 - 107718

Published: March 1, 2025

Recent clinical trial successes in schizophrenia with non-dopaminergic agents have rejuvenated the field after a long period of unsuccesfull attempts. At same time, non-invasive neurostimulation has been increasingly applied other mental health disorders while few studies performed schizophrenia. The time arrived to consider combining psychotherapy neuromodulation. However, systematic approach optimize designs is needed. "Computational Psychiatry" defined as computational neuroscience modeling using biophysically and anatomically realistic representations key brain areas based on neuroimaging data biological knowledge. In this position paper, we will expand concept include drug exposure pharmacology combination This can be used impact active platform generates new silico biomarker, "information bandwidth", that might related outcomes assumption information processing capacity human represented by measure entropy quantifies level uncertainty associated processes. Previously shown readout model closed cortical-striatal-thalamocortical loop highly correlated changes positive symptoms antipsychotic treatment. paper present strategy how expanded Computational Psychiatry support optimization design neuromodulation psychopharmacology, well understanding mitigating placebo response.

Language: Английский

Citations

0
Brain Structural and Functional Neuroimaging Features are Associated With Improved Auditory Hallucinations in Patients With Schizophrenia After Real‐Time fMRI Neurofeedback DOI Creative Commons
Jiahe Zhang,

Emma Tusuzian,

Francesca Morfini

et al.

Depression and Anxiety, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Auditory hallucinations (AHs) are debilitating and often treatment-resistant symptoms of schizophrenia (SZ). Real-time functional magnetic resonance imaging (fMRI) neurofeedback (NFB) is emerging as a flexible brain circuit-based tool for targeting AH via self-modulation activity. A better understanding what baseline characteristics predict NFB success will enhance its clinical utility. Previous work suggests that symptomology implicates measures across multiple modalities, including T1 structural MRI (sMRI), diffusion-weighted (dMRI), resting-state fMRI (rsfMRI). Specifically, severity treatment response associated with thinner superior temporal gyrus (STG), dorsolateral prefrontal cortex (DLPFC), reduced white matter integrity in tracts connecting regions implicated SZ symptomatology, increased within-default mode network (DMN) connectivity, DMN-DLPFC anticorrelation. In this study, we tested the individual combined contributions multimodal features prediction change after adults (N = 25, 36.1 ± 10.0 years, 24% females) spectrum disorders (SZ or schizoaffective disorder) frequent medication-resistant AH. Participants underwent scan (including sMRI, dMRI, rsfMRI) were randomly assigned to receive from their STG (n 12, real condition) motor (MC) 13, sham condition). was operationalized improvement NFB. We found higher severity, greater thickness, decreased dorsal cingulum integrity, within-DMN anticorrelation each individually correlated reduction severity. However, regression model, connectivity emerged only independent variable explained unique variance change. These results suggest specific rsfMRI measure, namely may be promising predictor reducing support precision medicine approach. Trial Registration: ClinicalTrials.gov identifier: NCT03504579.

Language: Английский

Citations

0