A review on EEG-based methods for screening and diagnosing alcohol use disorder

Mumtaz, Wajid; Vuong, Pham Lam; Malik, Aamir Saeed; Rashid, Rusdi Bin Abd

doi:10.1007/s11571-017-9465-x

Cited by 53 publications

(39 citation statements)

References 85 publications

(139 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Maurage et al, 2008a). Further, AUD groups have decreased P3 amplitudes in a wide array of tasks (Mumtaz, Vuong, Malik, & Rashid, 2018), and this remains consistent in investigations using emotional stimuli. However, some EFE literature has described a group by stimulus emotion interaction for P3 amplitudes, such as amplitude deficits in AUD vs control samples exaggerated for sad stimuli (e.g.…”

Section: Electroencephalographic (Eeg) Indicessupporting

confidence: 80%

Emotional Facial Expression Perception and Processing in AUD Subgroups

Bohan

Lewis

Garcia

et al. 2020

UFJUR

View full text Add to dashboard Cite

Deficits in emotion processing among individuals with AUD are well accepted, however the potential impact of polysubstance use in this population remains uninvestigated. The current work begins to fill this gap by analyzing affective perception and processing in community controls (CCs) and two AUD subgroups differentiated by presence (Alc-Drug) or absence (Alc-Only) of polysubstance use. Behavioral task performance and electroencephalographic (EEG) indices (N170, P3) were measured for an emotion judgement task where participants classified emotional facial expressions (EFEs) morphed to 65 or 95 percent intensity. Mixed model analyses detected deficits in emotion classification accuracy among Alc-Drug relative to other groups. Although there was a main effect of emotion (greater accuracy for positive vs. negative emotions), there was no group by emotion interaction. N170 amplitude analyses found only a main effect for emotion (greater amplitude for negative vs. positive emotions). P3 amplitude analyses detected differences between control and AUD individuals, but no difference between AUD subgroups. No correlation was found between accuracy and ERP amplitudes. These findings contribute to the developing literature on emotional processing deficits in AUD, including highlighting the importance of considering polysubstance use in characterizing these deficits.

show abstract

Section: Electroencephalographic (Eeg) Indicessupporting

confidence: 80%

Emotional Facial Expression Perception and Processing in AUD Subgroups

Bohan

Lewis

Garcia

et al. 2020

UFJUR

View full text Add to dashboard Cite

show abstract

“…Comparable NoGo N2 amplitudes were also found for student heavy drinkers versus lighter drinkers during a GNG task . With respect to the P3, reduced P3 amplitude during response inhibition is thought to represent a component of the alcoholic phenotype (see other studies for reviews). Here, reduced P3 amplitude was associated with higher alcohol use during successful stops, whereas the relationship was in the opposite direction for stop failures.…”

Section: Discussionmentioning

confidence: 97%

“…Electroencephalography (EEG) measures may improve screening and assessment of alcohol misuse, as they offer high temporal resolution, are relatively convenient to use and are objective (see for a review on this topic). Two event‐related potentials (ERP) components, the N2 and P3, are predominantly associated with response inhibition.…”

Section: Introductionmentioning

confidence: 99%

Inhibitory‐control event‐related potentials correlate with individual differences in alcohol use

et al. 2019

View full text Add to dashboard Cite

Impulsivity is a multidimensional construct that is related to different aspects of alcohol use, abuse, and dependence. Inhibitory control, one facet of impulsivity, can be assayed using the stop-signal task (SST) and quantified behaviorally via the stopsignal reaction time (SSRT) and electrophysiologically using event-related potentials (ERPs). Research on the relationship between alcohol use and SSRTs, and between alcohol use and inhibitory-control ERPs, is mixed. Here, adult alcohol users (n = 79), with a wide range of scores on the Alcohol Use Disorders Identification Test (AUDIT), completed the SST under electroencephalography (EEG) (70% of participants had AUDIT total scores greater than or equal to 8). Other measures, including demographic, self-report, and task-based measures of impulsivity, personality, and psychological factors, were also recorded. A machine-learning method with penalized linear regression was used to correlate individual differences in alcohol use with impulsivity measures. Four separate models were tested, with out-of-sample validation used to quantify performance. ERPs alone statistically predicted alcohol use (cross-validated r = 0.28), with both early and late ERP components contributing to the model (larger N2, but smaller P3, amplitude). Behavioral data from a wide range of impulsivity measures were also associated with alcohol use (r = 0.37). SSRT was a relatively weak statistical predictor, whereas the Stroop interference effect was relatively strong. The addition of nonimpulsivity behavioral measures did not improve the correlation (r = 0.34) and was similar when ERPs were combined with non-ERP data (r = 0.29).These findings show that inhibitory control ERPs are robustly correlated individual differences in alcohol use.

show abstract

“…Whereas evoked oscillation was related to stimulus-locked time [ 17 ]. In past decades, the induced oscillation had been widely used to investigate the neural mechanisms of attention modulation [ 62 ], the functions of the alcohol use disorder patients [ 63 ], and so on. Our proposed approach used for the single-trial level analysis will be helpful to explore the mechanisms of the induced oscillation in the mentioned fields.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Objective Extraction of Evoked Event-Related Oscillation from Time-Frequency Representation of Event-Related Potentials

Zhang

Cong

2020

Neural Plasticity

View full text Add to dashboard Cite

Evoked event-related oscillations (EROs) have been widely used to explore the mechanisms of brain activities for both normal people and neuropsychiatric disease patients. In most previous studies, the calculation of the regions of evoked EROs of interest is commonly based on a predefined time window and a frequency range given by the experimenter, which tends to be subjective. Additionally, evoked EROs sometimes cannot be fully extracted using the conventional time-frequency analysis (TFA) because they may be overlapped with each other or with artifacts in time, frequency, and space domains. To further investigate the related neuronal processes, a novel approach was proposed including three steps: (1) extract the temporal and spatial components of interest simultaneously by temporal principal component analysis (PCA) and Promax rotation and project them to the electrode fields for correcting their variance and polarity indeterminacies, (2) calculate the time-frequency representations (TFRs) of the back-projected components, and (3) compute the regions of evoked EROs of interest on TFRs objectively using the edge detection algorithm. We performed this novel approach, conventional TFA, and TFA-PCA to analyse both the synthetic datasets with different levels of SNR and an actual ERP dataset in a two-factor paradigm of waiting time (short/long) and feedback (loss/gain) separately. Synthetic datasets results indicated that N2-theta and P3-delta oscillations can be stably detected from different SNR-simulated datasets using the proposed approach, but, by comparison, only one oscillation was obtained via the last two approaches. Furthermore, regarding the actual dataset, the statistical results for the proposed approach revealed that P3-delta was sensitive to the waiting time but not for that of the other approaches. This study manifested that the proposed approach could objectively extract evoked EROs of interest, which allows a better understanding of the modulations of the oscillatory responses.

show abstract

A review on EEG-based methods for screening and diagnosing alcohol use disorder

Cited by 53 publications

References 85 publications

Emotional Facial Expression Perception and Processing in AUD Subgroups

Emotional Facial Expression Perception and Processing in AUD Subgroups

Inhibitory‐control event‐related potentials correlate with individual differences in alcohol use

Objective Extraction of Evoked Event-Related Oscillation from Time-Frequency Representation of Event-Related Potentials

Contact Info

Product

Resources

About