Electrophysiological indexes for impaired response inhibition and salience attribution in substance (stimulants and depressants) use disorders: A meta-analysis

Zhang, Yi; Ou, Hang; Yuan, Ti‐Fei; Sun, Junfeng

doi:10.1016/j.ijpsycho.2021.10.008

Cited by 9 publications

(14 citation statements)

References 132 publications

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Section: Discussionsupporting

confidence: 91%

“…We found partial evidence for EEG or ERP "recovery" with abstinence and treatment, which is in line with past ERP (Campanella et al, 2014;Zhang et al, 2021b) and EEG (Liu et al, 2022) reviews. In particular, past reviews highlighted existing research that suggests recovery effects in oddball P3 (Campanella et al, 2014;Zhang et al, 2021b) or resting EEG spectra for beta with abstinence in AUD (Liu et al, 2022), as well as initial evidence for abstinence-related increases in low-frequency bands (e.g., delta, theta) relative to decreases in higher-frequency bands (Liu et al, 2022). The patterns of results that have emerged from this review are generally concordant with those from existing longitudinal structural, functional, and neurochemical neuroimaging studies of sustained abstinence that also show evidence of partial recovery (normalization), especially across fronto-parietal, insula, and other brain regions associated with SUD (Stewart et al, 2019b;Parvaz et al, 2022).…”

Section: Discussionsupporting

confidence: 91%

“…However, building on over half a century of concentrated EEG research, there is a growing interest in applying EEG approaches for SUD treatment research. Metrics derived from EEG have good test-retest reliability (Tenke et al, 2017 ; Ip et al, 2018 ; Malcolm et al, 2019 ; Roach et al, 2019 ; Vázquez-Marrufo et al, 2020 ; Cofresí et al, 2022 ), are highly heritable (Van Beijsterveldt and Van Baal, 2002 ; de Geus, 2010 ; Gilmore et al, 2010 ) and widely used in SUD (Parvaz et al, 2011 ; Almeida-Antunes et al, 2021 ; Zhang et al, 2021b ; Liu et al, 2022 ), depression (de Aguiar Neto and Rosa, 2019 ), schizophrenia (Perrottelli et al, 2021 ), psychosis (Wang et al, 2022 ), neurodegeneration (Horvath et al, 2018 ), and pain (Ploner and May, 2018 ) research. High-quality EEG provides direct and millisecond-level access to regional and global neural activity (Sadaghiani et al, 2022 ), and indexes oscillatory communication (i.e., connectivity) within and between networks (Sadaghiani et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“…High-quality EEG provides direct and millisecond-level access to regional and global neural activity (Sadaghiani et al, 2022 ), and indexes oscillatory communication (i.e., connectivity) within and between networks (Sadaghiani et al, 2022 ). In addition to self-report, behavioral performance, and clinical variables, EEG metrics can aid in detecting subtle risks or deficits (Houston and Schlienz, 2018 ; Jurado-Barba et al, 2020 ; Zhang et al, 2021b ). Moreover, EEG methods are cost-effective and deployable outside of laboratories.…”

Section: Introductionmentioning

confidence: 99%

“…Reviews of SUD-EEG research published since the year 2000 have summarized findings across various SUDs (Bauer, 2001a ; Kouri and Lukas, 2001 ; Ceballos et al, 2009 ; Campanella et al, 2014 ; Houston and Schlienz, 2018 ; Stewart et al, 2019b ; Zhang et al, 2021b ; Liu et al, 2022 ), for specific SUDs, e.g., AUD (Hamidovic and Wang, 2019 ; Jurado-Barba et al, 2020 ; Agarwal et al, 2021 ), OUD (Wang et al, 2015 ; Motlagh et al, 2016 ; Ieong and Yuan, 2017 ; Stewart et al, 2019a ), for specific ERPs (Campanella et al, 2014 ; Hamidovic and Wang, 2019 ; Fairbairn et al, 2021 ; Zhang et al, 2021b ), for resting EEG (Liu et al, 2022 ), with an emphasis on longitudinal abstinence or treatment-related effects (Houston and Schlienz, 2018 ; Stewart et al, 2019b ), and more recently, in regards to brain stimulation (Zhang et al, 2019 ; Habelt et al, 2020 ). Although most past EEG studies have been cross-sectional and focused on differences between SUD vs. non-substance-using controls, there is an emerging and much-needed set of SUD-EEG work emphasizing longitudinal treatment- and/or abstinence-related changes (Houston and Schlienz, 2018 ; Stewart et al, 2019b ), paralleled by ongoing developments in SUD-MRI research (Moeller and Paulus, 2018 ; Hammond et al, 2019 ; Stewart et al, 2019b ; Parvaz et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

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A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment

Bel-Bahar

Khan²,

Shaik³

et al. 2022

Front. Hum. Neurosci.

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Substance use disorders (SUDs) constitute a growing global health crisis, yet many limitations and challenges exist in SUD treatment research, including the lack of objective brain-based markers for tracking treatment outcomes. Electroencephalography (EEG) is a neurophysiological technique for measuring brain activity, and although much is known about EEG activity in acute and chronic substance use, knowledge regarding EEG in relation to abstinence and treatment outcomes is sparse. We performed a scoping review of longitudinal and pre-post treatment EEG studies that explored putative changes in brain function associated with abstinence and/or treatment in individuals with SUD. Following PRISMA guidelines, we identified studies published between January 2000 and March 2022 from online databases. Search keywords included EEG, addictive substances (e.g., alcohol, cocaine, methamphetamine), and treatment related terms (e.g., abstinence, relapse). Selected studies used EEG at least at one time point as a predictor of abstinence or other treatment-related outcomes; or examined pre- vs. post-SUD intervention (brain stimulation, pharmacological, behavioral) EEG effects. Studies were also rated on the risk of bias and quality using validated instruments. Forty-four studies met the inclusion criteria. More consistent findings included lower oddball P3 and higher resting beta at baseline predicting negative outcomes, and abstinence-mediated longitudinal decrease in cue-elicited P3 amplitude and resting beta power. Other findings included abstinence or treatment-related changes in late positive potential (LPP) and N2 amplitudes, as well as in delta and theta power. Existing studies were heterogeneous and limited in terms of specific substances of interest, brief times for follow-ups, and inconsistent or sparse results. Encouragingly, in this limited but maturing literature, many studies demonstrated partial associations of EEG markers with abstinence, treatment outcomes, or pre-post treatment-effects. Studies were generally of good quality in terms of risk of bias. More EEG studies are warranted to better understand abstinence- or treatment-mediated neural changes or to predict SUD treatment outcomes. Future research can benefit from prospective large-sample cohorts and the use of standardized methods such as task batteries. EEG markers elucidating the temporal dynamics of changes in brain function related to abstinence and/or treatment may enable evidence-based planning for more effective and targeted treatments, potentially pre-empting relapse or minimizing negative lifespan effects of SUD.

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