Literature DB >> 34823598

Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs.

Xuelin Gu1, Banghua Yang2, Shouwei Gao3, Lin Feng Yan4, Ding Xu5, Wen Wang6.   

Abstract

BACKGROUND: The activation degree of the orbitofrontal cortex (OFC) functional area in drug abusers is directly related to the craving for drugs and the tolerance to punishment. Currently, among the clinical research on drug rehabilitation, there has been little analysis of the OFC activation in individuals abusing different types of drugs, including heroin, methamphetamine, and mixed drugs. Therefore, it becomes urgently necessary to clinically investigate the abuse of different drugs, so as to explore the effects of different types of drugs on the human brain.
METHODS: Based on prefrontal high-density functional near-infrared spectroscopy (fNIRS), this research designs an experiment that includes resting and drug addiction induction. Hemoglobin concentrations of 30 drug users (10 on methamphetamine, 10 on heroin, and 10 on mixed drugs) were collected using fNIRS and analyzed by combining algorithm and statistics.
RESULTS: Linear discriminant analysis (LDA), Support vector machine (SVM) and Machine-learning algorithm was implemented to classify different drug abusers. Oxygenated hemoglobin (HbO2) activations in the OFC of different drug abusers were statistically analyzed, and the differences were confirmed. Innovative findings: in both the Right-OFC and Left-OFC areas, methamphetamine abusers had the highest degree of OFC activation, followed by those abusing mixed drugs, and heroin abusers had the lowest. The same result was obtained when OFC activation was investigated without distinguishing the left and right hemispheres.
CONCLUSIONS: The findings confirmed the significant differences among different drug abusers and the patterns of OFC activations, providing a theoretical basis for personalized clinical treatment of drug rehabilitation in the future.
© 2021. The Author(s).

Entities:  

Keywords:  Classification of different drug users; Clinical data analysis; Drug addiction; OFC activation; fNIRS

Mesh:

Substances:

Year:  2021        PMID: 34823598      PMCID: PMC8620253          DOI: 10.1186/s13326-021-00256-y

Source DB:  PubMed          Journal:  J Biomed Semantics


  56 in total

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2.  Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter optode spacing.

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Review 3.  Neuropsychological consequences of chronic opioid use: a quantitative review and meta-analysis.

Authors:  A Baldacchino; D J K Balfour; F Passetti; G Humphris; K Matthews
Journal:  Neurosci Biobehav Rev       Date:  2012-07-06       Impact factor: 8.989

4.  Substances injected at the Sydney supervised injecting facility: A chemical analysis of used injecting equipment and comparison with self-reported drug type.

Authors:  Elodie Lefrancois; Vendula Belackova; Edmund Silins; Julie Latimer; Marianne Jauncey; Ronald Shimmon; Dayanne Mozaner Bordin; Marc Augsburger; Pierre Esseiva; Claude Roux; Marie Morelato
Journal:  Drug Alcohol Depend       Date:  2020-02-11       Impact factor: 4.492

5.  Characterizing prefrontal cortical activity during inhibition task in methamphetamine-associated psychosis versus schizophrenia: a multi-channel near-infrared spectroscopy study.

Authors:  Naohiro Okada; Katsuyoshi Takahashi; Yukika Nishimura; Shinsuke Koike; Ayaka Ishii-Takahashi; Eisuke Sakakibara; Yoshihiro Satomura; Akihide Kinoshita; Ryu Takizawa; Shingo Kawasaki; Mayumi Nakakita; Toshiyuki Ohtani; Yuji Okazaki; Kiyoto Kasai
Journal:  Addict Biol       Date:  2015-01-26       Impact factor: 4.280

Review 6.  The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex.

Authors:  Ahmet O Ceceli; Charles W Bradberry; Rita Z Goldstein
Journal:  Neuropsychopharmacology       Date:  2021-08-18       Impact factor: 7.853

Review 7.  Assessing autism at its social and developmental roots: A review of Autism Spectrum Disorder studies using functional near-infrared spectroscopy.

Authors:  Tao Liu; Xingchen Liu; Li Yi; Chaozhe Zhu; Patrick S Markey; Matthew Pelowski
Journal:  Neuroimage       Date:  2017-09-28       Impact factor: 6.556

8.  Performance enhancement of a brain-computer interface using high-density multi-distance NIRS.

Authors:  Jaeyoung Shin; Jinuk Kwon; Jongkwan Choi; Chang-Hwan Im
Journal:  Sci Rep       Date:  2017-11-29       Impact factor: 4.379

9.  Analysis of risk factor domains in psychosis patient health records.

Authors:  Eben Holderness; Nicholas Miller; Philip Cawkwell; Kirsten Bolton; Marie Meteer; James Pustejovsky; Mei-Hua Hall
Journal:  J Biomed Semantics       Date:  2019-10-31

10.  Assessment of cerebral autoregulation using continuous-wave near-infrared spectroscopy during squat-stand maneuvers in subjects with symptoms of orthostatic intolerance.

Authors:  Jae-Myoung Kim; Jong-Kwan Choi; Mingyu Choi; Minsu Ji; Gunpil Hwang; Sang-Bae Ko; Hyeon-Min Bae
Journal:  Sci Rep       Date:  2018-09-05       Impact factor: 4.379

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