Poster No:
367
Submission Type:
Abstract Submission
Authors:
Lukas Roell1
Institutions:
1LMU Hospital Munich / University of Melbourne, Munich /Melbourne, Bavaria
First Author:
Lukas Roell
LMU Hospital Munich / University of Melbourne
Munich /Melbourne, Bavaria
Introduction:
Using multimodal brain imaging is crucial to identify mechanisms underlying clinical improvements in neuropsychiatric disorders such as schizophrenia. A better mechanistic of schizophrenia is essential to develop efficient treatment approaches specifically targeting respective mechanisms. Therefore, we investigated longitudinal interrelations between clinical outcomes, brain structure and function, and somatic health in post-acute individuals with schizophrenia.
Methods:
Two independent longitudinal imaging datasets of post-acute patients undergoing a lifestyle intervention were considered for analysis. Demographic, clinical, cognitive, and somatic data were acquired at baseline and post-intervention, as were structural and functional magnetic resonance imaging scans. Multivariate cross-lagged panel modelling including mediators was used to study the mutual interrelations over time between the clinical, neural, and somatic level.
Results:
A higher baseline global grey matter volume and larger regional grey matter volumes of the hippocampal formation, precuneus, and posterior cingulate led to improvements in multiple clinical outcomes, such as daily-life functioning, negative symptoms, and cognition. Increases in white matter volume from baseline to post-intervention resulted in significantly reduced positive symptoms and higher daily-life functioning following the intervention. Reductions of functional dysconnectivity in the default-mode and salience network induced improvements in daily-life functioning and total symptom severity, respectively.
Conclusions:
Our findings suggest that stimulating neuroplasticity, especially in the hippocampal formation, precuneus, and posterior cingulate gyrus, and reducing functional dysconnectivity in the default-mode and salience network represent promising treatment targets in post-acute schizophrenia. We propose several potential treatment candidates, such as physical exercise therapies and other lifestyle interventions or focused ultrasound stimulation approaches, to target these mechanisms. Our results pave the way toward applying multimodal neuroimaging to guide treatment strategies in neuropsychiatric disorders such as schizophrenia.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Learning and Memory:
Neural Plasticity and Recovery of Function 2
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural)
Novel Imaging Acquisition Methods:
Anatomical MRI
BOLD fMRI
Keywords:
MRI
Plasticity
Psychiatric Disorders
Schizophrenia
1|2Indicates the priority used for review
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Please indicate below if your study was a "resting state" or "task-activation” study.
Resting state
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
No
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
NOTE: Any animal studies without IACUC approval will be automatically rejected.
Not applicable
Please indicate which methods were used in your research:
Functional MRI
Structural MRI
For human MRI, what field strength scanner do you use?
3.0T
Which processing packages did you use for your study?
AFNI
FSL
Free Surfer
Other, Please list
-
fmriprep
Provide references using APA citation style.
Roell, L. et al. Neural and Somatic Mechanisms Driving Clinical Improvements in Post-Acute Schizophrenia Spectrum Disorders. medRxiv 2024.09.27.24314427 (2024) doi:10.1101/2024.09.27.24314427.
Wunderlich, S. ... & Roell, L. Reducing Functional Dysconnectivity in Schizophrenia Spectrum Disorders. medRxiv 2024.09.26.24314430 (2024) doi:10.1101/2024.09.26.24314430.
No