Literature DB >> 26748947

Neuroelectrophysiological approaches in heroin addiction research: A review of literatures.

Farid Motlagh1,2,3, Fatimah Ibrahim1,2, J Michael Menke4, Rusdi Rashid3, Tahereh Seghatoleslam3, Hussain Habil3.   

Abstract

Neuroelectrophysiological properties have been used in human heroin addiction studies. These studies vary in their approach, experimental conditions, paradigms, and outcomes. However, it is essential to integrate previous findings and experimental methods for a better demonstration of current issues and challenges in designing such studies. This Review examines methodologies and experimental conditions of neuroelectrophysiological research among heroin addicts during withdrawal, abstinence, and methadone maintenance treatment and presents the findings. The results show decrements in attentional processing and dysfunctions in brain response inhibition as well as brain activity abnormalities induced by chronic heroin abuse. Chronic heroin addiction causes increased β and α2 power activity, latency of P300 and P600, and diminished P300 and P600 amplitude. Findings confirm that electroencephalography (EEG) band power and coherence are associated with craving indices and heroin abuse history. First symptoms of withdrawal can be seen in high-frequency EEG bands, and the severity of these symptoms is associated with brain functional connectivity. EEG spectral changes and event-related potential (ERP) properties have been shown to be associated with abstinence length and tend to normalize within 3-6 months of abstinence. From the conflicting criteria and confounding effects in neuroelectrophysiological studies, the authors suggest a comprehensive longitudinal study with a multimethod approach for monitoring EEG and ERP attributes of heroin addicts from early stages of withdrawal until long-term abstinence to control the confounding effects, such as nicotine abuse and other comorbid and premorbid conditions.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  EEG; ERP; brain signals; cognitive dysfunction; methadone; opioids

Mesh:

Year:  2016        PMID: 26748947     DOI: 10.1002/jnr.23703

Source DB:  PubMed          Journal:  J Neurosci Res        ISSN: 0360-4012            Impact factor:   4.164


  7 in total

1.  Attentional bias and response inhibition in severe obesity with food disinhibition: a study of P300 and N200 event-related potential.

Authors:  Sylvain Iceta; Julien Benoit; Philippe Cristini; Stéphanie Lambert-Porcheron; Bérénice Segrestin; Martine Laville; Emmanuel Poulet; Emmanuel Disse
Journal:  Int J Obes (Lond)       Date:  2019-04-09       Impact factor: 5.095

2.  Acute effects of methadone on EEG power spectrum and event-related potentials among heroin dependents.

Authors:  Farid Motlagh; Fatimah Ibrahim; Rusdi Rashid; Niusha Shafiabady; Tahereh Seghatoleslam; Hussain Habil
Journal:  Psychopharmacology (Berl)       Date:  2018-10-11       Impact factor: 4.530

3.  Alcohol affects the P3 component of an adaptive stop signal task ERP.

Authors:  Martin H Plawecki; Kyle A Windisch; Leah Wetherill; Ann E K Kosobud; Mario Dzemidzic; David A Kareken; Sean J O'Connor
Journal:  Alcohol       Date:  2017-08-31       Impact factor: 2.405

Review 4.  Event-Related Potentials as Biomarkers of Behavior Change Mechanisms in Substance Use Disorder Treatment.

Authors:  Rebecca J Houston; Nicolas J Schlienz
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-09-23

5.  Delta coherence in resting-state EEG predicts the reduction in cigarette craving after hypnotic aversion suggestions.

Authors:  Xiaoming Li; Ru Ma; Liangjun Pang; Wanwan Lv; Yunlu Xie; Ying Chen; Pengyu Zhang; Jiawen Chen; Qichao Wu; Guanbao Cui; Peng Zhang; Yifeng Zhou; Xiaochu Zhang
Journal:  Sci Rep       Date:  2017-05-25       Impact factor: 4.379

Review 6.  Forging Neuroimaging Targets for Recovery in Opioid Use Disorder.

Authors:  Jennifer L Stewart; April C May; Robin L Aupperle; Jerzy Bodurka
Journal:  Front Psychiatry       Date:  2019-03-07       Impact factor: 4.157

Review 7.  Biomarkers and neuromodulation techniques in substance use disorders.

Authors:  Bettina Habelt; Mahnaz Arvaneh; Nadine Bernhardt; Ivan Minev
Journal:  Bioelectron Med       Date:  2020-02-17
  7 in total

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