Candidate biomarkers in psychiatric disorders: state of the field

A Abi‐Dargham, SJ Moeller, F Ali… - World …, 2023 - Wiley Online Library
The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can
aid in objectively diagnosing patients and providing individualized treatment …

Dopamine receptor subtypes, physiology and pharmacology: new ligands and concepts in schizophrenia

JC Martel, S Gatti McArthur - Frontiers in pharmacology, 2020 - frontiersin.org
Dopamine receptors are widely distributed within the brain where they play critical
modulator roles on motor functions, motivation and drive, as well as cognition. The …

Artificial intelligence in psychiatry research, diagnosis, and therapy

J Sun, QX Dong, SW Wang, YB Zheng, XX Liu… - Asian Journal of …, 2023 - Elsevier
Psychiatric disorders are now responsible for the largest proportion of the global burden of
disease, and even more challenges have been seen during the COVID-19 pandemic …

[HTML][HTML] NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman… - NeuroImage: Clinical, 2020 - Elsevier
Many mental illnesses share overlapping or similar clinical symptoms, confounding the
diagnosis. It is important to systematically characterize the degree to which unique and …

Cognitive impairment associated with schizophrenia: from pathophysiology to treatment

DC Javitt - Annual Review of Pharmacology and Toxicology, 2023 - annualreviews.org
Cognitive impairment is a core feature of schizophrenia and a major contributor to poor
functional outcomes. Methods for assessment of cognitive dysfunction in schizophrenia are …

Beyond antipsychotics: a twenty-first century update for preclinical development of schizophrenia therapeutics

DL Spark, A Fornito, CJ Langmead… - Translational Psychiatry, 2022 - nature.com
Despite 50+ years of drug discovery, current antipsychotics have limited efficacy against
negative and cognitive symptoms of schizophrenia, and are ineffective—with the exception …

Artificial intelligence applications in psychoradiology

F Li, H Sun, BB Biswal, JA Sweeney, Q Gong - Psychoradiology, 2021 - academic.oup.com
One important challenge in psychiatric research is to translate findings from brain imaging
research studies that identified brain alterations in patient groups into an accurate diagnosis …

Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction

F Guan, T Ni, W Zhu, LK Williams, LB Cui, M Li… - Molecular …, 2022 - nature.com
Schizophrenia (SCZ) is a debilitating neuropsychiatric disorder with high heritability and
complex inheritance. In the past decade, successful identification of numerous susceptibility …

AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units

FM Dawoodbhoy, J Delaney, P Cecula, J Yu, I Peacock… - Heliyon, 2021 - cell.com
Introduction Growing demand for mental health services, coupled with funding and resource
limitations, creates an opportunity for novel technological solutions including artificial …

Neuroimaging and multiomics reveal cross-scale circuit abnormalities in schizophrenia

M Wang, H Yan, X Tian, W Yue, Y Liu, L Fan… - Nature Mental …, 2023 - nature.com
Schizophrenia (SCZ) is a highly heterogeneous disorder with diverse clinical manifestations
and macro-and microscale biological variations, usually observed at dissociable levels …