Cited by Understanding Altered Dynamics in Cocaine Use Disorder Through State Transitions Mediated by Artificial Perturbations

Multimodal frontal neuroimaging markers predict longitudinal craving reduction in abstinent individuals with heroin use disorder DOI

Xinwen Wen,

Wenhan Yang,

Zhe Du

и другие.

Journal of Psychiatric Research, Год журнала: 2024, Номер 177, С. 1 - 10

Опубликована: Июнь 26, 2024

Язык: Английский

Процитировано

Bringing Imaging Biomarkers Into Clinical Reality in Psychiatry DOI

Amit Etkin, Daniel H. Mathalon

JAMA Psychiatry, Год журнала: 2024, Номер unknown

Опубликована: Сен. 4, 2024

Importance Advancing precision psychiatry, where treatments are based on an individual’s biology rather than solely their clinical presentation, requires attention to several key attributes for any candidate biomarker. These include test-retest reliability, sensitivity relevant neurophysiology, cost-effectiveness, and scalability. Unfortunately, these issues have not been systematically addressed by biomarker development efforts that use common neuroimaging tools like magnetic resonance imaging (MRI) electroencephalography (EEG). Here, the critical barriers methods will need overcome achieve relevance in near intermediate term examined. Observations Reliability is often overlooked, which together with aspects of neurophysiology replicated predictive utility, favors EEG-based methods. The principal barrier EEG has lack large-scale data collection among multisite psychiatric consortia. By contrast, despite its high structural MRI demonstrated utility may be due limited psychiatry-relevant neurophysiology. Given prevalence MRIs, establishment a compelling case remains barrier. low reliability difficulty standardizing functional MRI, along demonstration superior spatial resolution over ability directly image subcortical regions fact provide unique value. Often missing, moreover, consideration how various scientific can balanced against practical economic realities health care delivery today, embedding modeling into help direct research efforts. Conclusions Relevance seems most ripe near- intermediate-term impact, especially considering scalability cost-effectiveness. Recent broaden collection, as well low-cost turnkey systems, suggest promising pathway impact care. Continued focused hold promise longer-horizon utility.

Язык: Английский

Процитировано

The Transition from Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research DOI