4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Resting-State Quantitative Electroencephalography Demonstrates Differential Connectivity in Adolescents with Major Depressive Disorder

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background: Biomarkers for psychiatric disorders in children and adolescents are urgently needed. This cross-sectional pilot study investigated quantitative electroencephalogram (qEEG), a promising intermediate biomarker, in pediatric patients with major depressive disorder (MDD) compared with healthy controls (HCs). We hypothesized that youth with MDD would have increased coherence (connectivity) and absolute alpha power in the frontal cortex compared with HC.

          Methods: qEEG was obtained in adolescents aged 14–17 years with MDD ( n = 25) and age- and gender-matched HCs ( n = 14). The primary outcome was overall coherence on qEEG in the four frequency bands (alpha, beta, theta, and delta). Other outcomes included frontal-only coherence, overall and frontal-only qEEG power, and clinician-rated measures of anhedonia and anxiety.

          Results: Average coherence in the theta band was significantly lower in MDD patients versus HCs, and also lower in frontal cortex among MDD patients. Seven node pairs were significantly different or trending toward significance between MDD and HC; all had lower coherence in MDD patients. Average frontal delta power was significantly higher in MDD versus HCs.

          Conclusions: Brain connectivity measured by qEEG differs significantly between adolescents with MDD and HCs. Compared with HCs, youth with MDD showed decreased connectivity, yet no differences in power in any frequency bands. In the frontal cortex, youth with MDD showed decreased resting connectivity in the alpha and theta frequency bands. Impaired development of a resting-state brain network (e.g., default mode network) in adolescents with MDD may represent an intermediate phenotype that can be assessed with qEEG.

          Related collections

          Author and article information

          Journal
          J Child Adolesc Psychopharmacol
          J Child Adolesc Psychopharmacol
          cap
          Journal of Child and Adolescent Psychopharmacology
          Mary Ann Liebert, Inc., publishers (140 Huguenot Street, 3rd FloorNew Rochelle, NY 10801USA )
          1044-5463
          1557-8992
          01 June 2019
          03 June 2019
          : 29
          : 5
          : 370-377
          Affiliations
          [ 1 ]Department of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio.
          [ 2 ]Neurological and Behavioral Outcomes Center, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
          [ 3 ]Department of Electrical Engineering and Computer Science, Case Western Reserve University School of Engineering, Cleveland, Ohio.
          [ 4 ]Neurological Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
          Author notes
          [ * ]

          Current affiliation: Department of Neurology, The University of Texas Health Science Center at Houston, Houston, Texas.

          Funding: This study was funded by a grant from the University Hospitals and the Clinical Research Center (M.M.) and by the Clinical and Translational Science Award—UL1TR 00043 for REDCap.

          [*]Address correspondence to: Molly McVoy, MD, Neurological and Behavioral Outcomes Center, University Hospitals Cleveland Medical Center, W.O. Walker Building, Suite 1155A, 10524 Euclid Ave., Cleveland, OH 44106 molly.mcvoy@ 123456uhhospitals.org
          Article
          PMC7227423 PMC7227423 7227423 10.1089/cap.2018.0166
          10.1089/cap.2018.0166
          7227423
          31038351
          4755f8ea-75b3-40ff-b82c-8abe8898964b
          Copyright 2019, Mary Ann Liebert, Inc., publishers
          History
          Page count
          Figures: 3, Tables: 2, References: 34, Pages: 8
          Categories
          Original Articles

          quantitative electroencephalogram,major depressive disorder,connectivity,biomarker,qEEG,adolescent

          Comments

          Comment on this article