Evidence map›Paper›PMID 31130882›Full record

ArticleFrontiers in psychiatry2019

Low-Theta Electroencephalography Coherence Predicts Cigarette Craving in Nicotine Addiction.

Junjie Bu, Ru Ma, Chuan Fan, Shinan Sun, Yan Cheng, Yi Piao, Pengyu Zhang, Chialun Liu, Xiaochu Zhang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Junjie BuHefei Medical Research Center on Alcohol Addiction, Anhui Mental Health Center, Hefei, China.
Ru MaHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China.
Chuan FanSchool of Humanities & Social Science, University of Science & Technology of China, Hefei, China.
Shinan SunAcademy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.
Yan ChengSchool of Humanities & Social Science, University of Science & Technology of China, Hefei, China.
Yi PiaoSchool of Humanities & Social Science, University of Science & Technology of China, Hefei, China.
Pengyu ZhangHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China.
Chialun LiuHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China.
Xiaochu ZhangHefei Medical Research Center on Alcohol Addiction, Anhui Mental Health Center, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addicts are often vulnerable to drug use in the presence of drug cues, which elicit significant drug cue reactivity. Mounting neuroimaging evidence suggests an association between functional magnetic resonance imaging connectivity networks and smoking cue reactivity; however, there is still little understanding of the electroencephalography (EEG) coherence basis of smoking cue reactivity. We therefore designed two independent experiments wherein nicotine-dependent smokers performed a smoking cue reactivity task during EEG recording. Experiment I showed that a low-theta EEG coherence network occurring 400-600 ms after onset during long-range (mainly between frontal and parieto-occipital) scalp regions, which was involved in smoking cue reactivity. Moreover, the average coherence of this network was significantly correlated with participants' level of cigarette craving. In experiment II, we tested an independent group of smokers and demonstrated that the low-theta coherence network significantly predicted changes in individuals' cigarette craving. Thus, the low-theta EEG coherence in smokers' brains might be a biomarker of smoking cue reactivity and can predict addiction behavior.

Indexed as

electroencephalography coherenceexternal validationfunctional connectivitynicotine addictionsmoking cue reactivity

Identifiers

PMID31130882
PMCPMC6509246

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.