Keyword search (4,164 papers available)

"Wang H" Authored Publications:

Title Authors PubMed ID
1 From water to sediment: A meta-analysis of microplastic distribution and the impact of dams in reservoir ecosystems Gao W; Zhang P; Wang H; Yang X; An C; 41215774
ENCS
2 Leading the way to a safer workplace: What enables supervisors to be servant leaders and enhance subordinates workplace safety behaviors? Chen YP; Hsu YS; Panaccio A; Wang H; 40483067
JMSB
3 Synergistic adsorption mechanism of heavy metals on zinc oxide/phosphate modified gel-biochar composites Wang H; Zhang L; Ji J; Wang A; Wen J; Chen Z; 40159819
ENCS
4 Two-dimensional Nanosheets by Liquid Metal Exfoliation Bai Y; Xu Y; Sun L; Ward Z; Wang H; Ratnayake G; Wang C; Zhao M; He H; Gao J; Wu M; Lu S; Bepete G; Peng D; Liu B; Kang F; Terrones H; Terrones M; Lei Y; 39707650
PHYSICS
5 Reduction of Cr(VI) by Bacillus toyonensis LBA36 and its effect on radish seedlings under Cr(VI) stress Tan A; Wang H; Zhang H; Zhang L; Yao H; Chen Z; 39346031
ENCS
6 Inoculation of chromium-tolerant bacterium LBA108 to enhance resistance in radish (Raphanus sativus L.) and combined remediation of chromium-contaminated soil Zhang H; Wang H; Tan A; Zhang L; Yao H; You X; Chen Z; 38721825
ENCS
7 Hydrothermal synthesis and electrochemical properties of Sn-based peanut shell biochar electrode materials Wang Y; Wang H; Ji J; You T; Lu C; Liu C; Song Y; Chen Z; Zhu S; 38380232
ENCS
8 Superhydrophilic CoFe Dispersion of Hydrogel Electrocatalysts for Quasi-Solid-State Photoelectrochemical Water Splitting Wang H; Gao RT; Nguyen NT; Bai J; Ren S; Liu X; Zhang X; Wang L; 37901939
ENCS
9 Isolation and Identification of Mercury-Tolerant Bacteria LBA119 from Molybdenum-Lead Mining Soils and Their Removal of Hg2 Yao H; Wang H; Ji J; Tan A; Song Y; Chen Z; 36977027
ENCS
10 A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing Xie S; Mohammady M; Wang H; Wang L; Vaidya J; Hong Y; 36506788
ENCS
11 A Small Molecule Inhibitor of Erg251 Makes Fluconazole Fungicidal by Inhibiting the Synthesis of the 14α-Methylsterols Lu H; Li W; Whiteway M; Wang H; Zhu S; Ji Z; Feng Y; Yan L; Fang T; Li L; Ni T; Zhang X; Lv Q; Ding Z; Qiu L; Zhang D; Jiang Y; 36475771
BIOLOGY
12 Surfactant-enhanced mobilization of persistent organic pollutants: Potential for soil and sediment remediation and unintended consequences Bolan S; Padhye LP; Mulligan CN; Alonso ER; Saint-Fort R; Jasemizad T; Wang C; Zhang T; Rinklebe J; Wang H; Siddique KHM; Kirkham MB; Bolan N; 36265382
ENCS
13 Update on air pollution control strategies for coal-fired power plants Asif Z; Chen Z; Wang H; Zhu Y; 35572480
ENCS
14 Circulating miR-1246 Targeting UBE2C, TNNI3, TRAIP, UCHL1 Genes and Key Pathways as a Potential Biomarker for Lung Adenocarcinoma: Integrated Biological Network Analysis Huang S; Wei YK; Kaliamurthi S; Cao Y; Nangraj AS; Sui X; Chu D; Wang H; Wei DQ; Peslherbe GH; Selvaraj G; Shi J; 33050659
CHEMBIOCHEM
15 A Crowdsensing Based Analytical Framework for Perceptional Degradation of OTT Web Browsing. Li K, Wang H, Xu X, Du Y, Liu Y, Ahmad MO 29762493
ENCS
16 Big Data-Driven Cellular Information Detection and Coverage Identification. Wang H, Xie S, Li K, Ahmad MO 30813353
ENCS
17 Pre-treatment EEG signal variability is associated with treatment success in depression. Jaworska N, Wang H, Smith DM, Blier P, Knott V, Protzner AB 29159049
CSBN
18 Smart Self-Assembled Nanosystem Based on Water-Soluble Pillararene and Rare-Earth-Doped Upconversion Nanoparticles for pH-Responsive Drug Delivery. Li H, Wei R, Yan GH, Sun J, Li C, Wang H, Shi L, Capobianco JA, Sun L 29336139
CHEMBIOCHEM

 

Title:Pre-treatment EEG signal variability is associated with treatment success in depression.
Authors:Jaworska NWang HSmith DMBlier PKnott VProtzner AB
Link:https://www.ncbi.nlm.nih.gov/pubmed/29159049?dopt=Abstract
Publication:
Keywords:
PMID:29159049 Category:Neuroimage Clin Date Added:2019-05-31
Dept Affiliation: CSBN
1 Institute of Mental Health Research, Affiliated With the University of Ottawa, ON, Canada.
2 Department of Psychology, University of Calgary, AB, Canada.
3 Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada.
4 Department of Psychology, University of Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, AB, Canada. Electronic address: protzner@ucalgary.ca.

Description:

Pre-treatment EEG signal variability is associated with treatment success in depression.

Neuroimage Clin. 2018;17:368-377

Authors: Jaworska N, Wang H, Smith DM, Blier P, Knott V, Protzner AB

Abstract

Background: Previous work suggests that major depressive disorder (MDD) is associated with disturbances in global connectivity among brain regions, as well as local connectivity within regions. However, the relative importance of these global versus local changes for successful antidepressant treatment is unknown. We used multiscale entropy (MSE), a measure of brain signal variability, to examine how the propensity for local (fine scale MSE) versus global (coarse scale MSE) neural processing measured prior to antidepressant treatment is related to subsequent treatment response.

Methods: We collected resting-state EEG activity during eyes-open and closed conditions from unmedicated individuals with MDD prior to antidepressant pharmacotherapy (N = 36) as well as from non-depressed controls (N = 36). Treatment response was assessed after 12 weeks of treatment using the Montgomery-Åsberg Depression Rating Scale (MADRS), at which time participants with MDD were characterized as either responders (= 50% MADRS decrease) or non-responders. MSE was calculated from baseline EEG, and compared between controls, future treatment responders and non-responders. Putative interactions with the well-documented age effect on signal variability (increased reliance on local neural communication with increasing age, indexed by greater finer-scale variability) were assessed.

Results: Only in responders, we found that reduced MSE at fine temporal scales (especially fronto-centrally) and increased MSE diffusely at coarser temporal scales was related to the magnitude of the antidepressant response. In controls and MDD non-responders, but not MDD responders, there was an increase in MSE with age at fine temporal scales and a decrease in MSE with age at coarse temporal scales.

Conclusion: Our results suggest that an increased propensity toward global processing, indexed by greater MSE at coarser timescales, at baseline appears to facilitate eventual antidepressant treatment response.

PMID: 29159049 [PubMed - indexed for MEDLINE]





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University