| Literature DB >> 29886088 |
Irena Balzekas1, Charles P Lewis2, Julia Shekunov2, John D Port3, Gregory A Worrell4, Hang Joon Jo5, Paul E Croarkin2.
Abstract
Connectivity features based on resting-state (RS) functional magnetic resonance imaging (fMRI) demonstrate great promise as biomarkers to guide diagnosis and treatment in major depressive disorder (MDD). However, there is a pressing need for valid, reliable biomarkers closer to the bedside for clinical research and practice. This study directly compared RS-fMRI connectivity features with transcranial magnetic stimulation (TMS) neurophysiological measures, long interval cortical inhibition (LICI) and cortical silent period (CSP), in female adolescents with MDD. LICI-200 showed the most significant associations with RS functional connectivity features, demonstrating its potential to evaluate the neurochemical underpinnings of network features in MDD.Entities:
Keywords: Connectivity; Depression; Resting state; TMS, fMRI
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Year: 2018 PMID： 29886088 PMCID： PMC6449039 DOI： 10.1016/j.pscychresns.2018.05.013
Source DB: PubMed Journal: Psychiatry Res Neuroimaging ISSN： 0925-4927 Impact factor: 2.376