Abstract #5024

SHAP Interpretation of a Tree-Based Model for Deep Gray Matter QSM and R2* in First Episode Psychosis Patients and Their Response to Antipsychotics

Pamela Franco^1,2,3,4, Cristian Montalba^1,2,5, Raul Caulier-Cisterna⁶, Alonso González^7,8, Juan Undurraga⁹, Nicolás Crossley^1,2,7, and Cristian Tejos^1,2,10

¹Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, ²Millennium Institute for IntelligentHealthcare Engineering - iHEALTH, Pontificia Universidad Catolica de Chile, Santiago, Chile, ³Department of Physics, Faculty of Science, Universidad de Santiago de Chile, Santiago, Chile, ⁴School of of Civil Engineering, Computer Science and Telecommunications, Faculty of Engineering, Universidad Finis Terrae, Santiago, Chile, ⁵Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, ⁶Department of Informatics and Computing, Faculty of Engineering,, Universidad Tecnológica Metropolitana, Santiago, Chile, ⁷Department of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, ⁸School of Medicine, Universidad Finis Terrae, Santiago, Chile, ⁹Department of Neurology and Psychiatry, Universidad del Desarrollo, Santiago, Chile, ¹⁰Department of Electrical Engineering, School of Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile

Synopsis

Keywords: Psychiatric Disorders, Psychiatric Disorders

Motivation: Several studies have demonstrated altered neurochemicals in psychosis. QSM quantify susceptibility changes, which have been associated with iron concentrations in dopamine pathways.

Goal(s): Identify the strongest predictive QSM and R2* in first-episode psychosis (FEP) patients and their response to antipsychotics using a tree-based model.

Approach: A tree-base model to discriminate between treatment-responsive (RS) and treatment-resistant (TRS) FEP patients by looking at tissue susceptibilities.

Results: Our model classifies RS and TRS patients: 96.67 ± 1.38 % accuracy. Also, TRS could be classified by QSM: left amygdala, right globus pallidus interna, and nucleus accumbens, which have been associated with decreased dopamine in TRS patients.

Impact: The proposed features could be used in future studies to early detect TRS-FEP patients and promptly adopt adequate treatment. This intervention may improve their clinical outcomes and minimize the functional disability and social burden resulting from prolonged psychosis.

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