Literature DB >> 31705495

Development of Neuroimaging-Based Biomarkers in Psychiatry.

Orkun Aydin1, Pinar Unal Aydin1, Ayla Arslan2.   

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.

Entities:  

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

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Substances:

Year:  2019        PMID: 31705495     DOI: 10.1007/978-981-32-9721-0_9

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  4 in total

Review 1.  Machine learning as the new approach in understanding biomarkers of suicidal behavior.

Authors:  Alja Videtič Paska; Katarina Kouter
Journal:  Bosn J Basic Med Sci       Date:  2021-08-01       Impact factor: 3.363

Review 2.  Markers of Schizophrenia-A Critical Narrative Update.

Authors:  Beata Galińska-Skok; Napoleon Waszkiewicz
Journal:  J Clin Med       Date:  2022-07-07       Impact factor: 4.964

3.  Focal electrical stimulation on an alcohol disorder model using magnetic resonance imaging-compatible chronic neural monopolar carbon fiber electrodes.

Authors:  Alejandra Lopez-Castro; Diego Angeles-Valdez; Gerardo Rojas-Piloni; Eduardo A Garza-Villarreal
Journal:  Front Neurosci       Date:  2022-09-29       Impact factor: 5.152

4.  Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders.

Authors:  Weichen Song; Wei Qian; Weidi Wang; Shunying Yu; Guan Ning Lin
Journal:  BMC Genomics       Date:  2021-06-02       Impact factor: 3.969

  4 in total

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