P3a Amplitude Predicts Successful Treatment Program Completion in Substance-Dependent Individuals-Reference-Cited by-同舟云学术

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P3a Amplitude Predicts Successful Treatment Program Completion in Substance-Dependent Individuals

Published:2010-11-01 Issue:5 Volume:46 Page:669-677
ISSN:1082-6084
Container-title:Substance Use & Misuse
language:en
Short-container-title:Substance Use & Misuse

Author:

Anderson Nathaniel E.¹,Baldridge Robyn M.¹,Stanford Matthew S.¹

Affiliation:

1. Department of Psychology & Neuroscience, Baylor University, Waco, Texas, USA

Publisher

Informa UK Limited

Subject

Psychiatry and Mental health,Public Health, Environmental and Occupational Health,Medicine (miscellaneous),Health (social science)

Link

https://www.tandfonline.com/doi/pdf/10.3109/10826084.2010.528123

Reference48 articles.

1. Neuropsychological and cognitive psychophysiological substrates of impulsive aggression

2. Frontal P300 decrements, childhood conduct disorder, family history, and the prediction of relapse among abstinent cocaine abusers

3. Predicting Relapse to Alcohol and Drug Abuse via Quantitative Electroencephalography

4. Brain Maturation and Subtypes of Conduct Disorder: Interactive Effects on P300 Amplitude and Topography in Male Adolescents

5. Frontal P300 Decrements in Antisocial Personality Disorder

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1. Attentional ERPs in consumers of smoked and insufflated cocaine associated with neuropsychological performance;Drug and Alcohol Dependence;2024-06

2. An exploration of neural predictors of treatment compliance in cognitive-behavioral group therapy for hoarding disorder;Journal of Affective Disorders;2024-01

3. Differential modulation of attentional ERPs in smoked and insufflated cocaine-dependent associated with neuropsychological performance;2023-07-08

4. A discriminant analysis of the P3b wave with electroencephalogram by feature‐electrode pairs in schizophrenia diagnosis;IET Signal Processing;2023-06

5. A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment;Frontiers in Human Neuroscience;2022-10-17

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