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Adv Exp Med Biol. 2019;1192:159-195. doi: 10.1007/978-981-32-9721-0_9.

Development of Neuroimaging-Based Biomarkers in Psychiatry.

Author information

1
Psychology Program, Faculty of Arts and Social Sciences, International University of Sarajevo, Hrasnička cesta br. 15, 71210, Sarajevo, Bosnia and Herzegovina.
2
Genetics and Bioengineering Program, Faculty of Engineering and Natural Sciences, International University of Sarajevo, Hrasnička cesta br. 15, 71210, Sarajevo, Bosnia and Herzegovina. aarslan@ius.edu.ba.

Abstract

This chapter presents an overview of accumulating neuroimaging data with emphasis on translational potential. The subject will be described in the context of three disease states, i.e., schizophrenia, bipolar disorder, and major depressive disorder, and for three clinical goals, i.e., disease risk assessment, subtyping, and treatment decision.

KEYWORDS:

Amygdala; Biomarker; Bipolar disorder; Connectomics; Depression; Diagnosis; Diffusion tensor imaging; Functional magnetic resonance imaging; Gray matter; Hippocampus; Machine learning; Magnetic resonance imaging; Neuroimaging; Personalized; Positron emission tomography; Predictive; Prefrontal cortex; Prognosis; Schizophrenia; Voxel-based morphometry; White matter

PMID:
31705495
DOI:
10.1007/978-981-32-9721-0_9
[Indexed for MEDLINE]

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