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

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 activatio...

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Autores principales:	Xuelin Gu, Banghua Yang, Shouwei Gao, Lin Feng Yan, Ding Xu, Wen Wang
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Drug addiction fNIRS Clinical data analysis Classification of different drug users OFC activation Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/f82b4cbf87cf477d99ea73dee4841be6
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spelling	oai:doaj.org-article:f82b4cbf87cf477d99ea73dee4841be62021-11-28T12:05:56ZPrefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs10.1186/s13326-021-00256-y2041-1480https://doaj.org/article/f82b4cbf87cf477d99ea73dee4841be62021-11-01T00:00:00Zhttps://doi.org/10.1186/s13326-021-00256-yhttps://doaj.org/toc/2041-1480Abstract 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.Xuelin GuBanghua YangShouwei GaoLin Feng YanDing XuWen WangBMCarticleDrug addictionfNIRSClinical data analysisClassification of different drug usersOFC activationComputer applications to medicine. Medical informaticsR858-859.7ENJournal of Biomedical Semantics, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Drug addiction fNIRS Clinical data analysis Classification of different drug users OFC activation Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Drug addiction fNIRS Clinical data analysis Classification of different drug users OFC activation Computer applications to medicine. Medical informatics R858-859.7 Xuelin Gu Banghua Yang Shouwei Gao Lin Feng Yan Ding Xu Wen Wang Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs
description	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.
format	article
author	Xuelin Gu Banghua Yang Shouwei Gao Lin Feng Yan Ding Xu Wen Wang
author_facet	Xuelin Gu Banghua Yang Shouwei Gao Lin Feng Yan Ding Xu Wen Wang
author_sort	Xuelin Gu
title	Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs
title_short	Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs
title_full	Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs
title_fullStr	Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs
title_full_unstemmed	Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs
title_sort	prefrontal fnirs-based clinical data analysis of brain functions in individuals abusing different types of drugs
publisher	BMC
publishDate	2021
url	https://doaj.org/article/f82b4cbf87cf477d99ea73dee4841be6
work_keys_str_mv	AT xuelingu prefrontalfnirsbasedclinicaldataanalysisofbrainfunctionsinindividualsabusingdifferenttypesofdrugs AT banghuayang prefrontalfnirsbasedclinicaldataanalysisofbrainfunctionsinindividualsabusingdifferenttypesofdrugs AT shouweigao prefrontalfnirsbasedclinicaldataanalysisofbrainfunctionsinindividualsabusingdifferenttypesofdrugs AT linfengyan prefrontalfnirsbasedclinicaldataanalysisofbrainfunctionsinindividualsabusingdifferenttypesofdrugs AT dingxu prefrontalfnirsbasedclinicaldataanalysisofbrainfunctionsinindividualsabusingdifferenttypesofdrugs AT wenwang prefrontalfnirsbasedclinicaldataanalysisofbrainfunctionsinindividualsabusingdifferenttypesofdrugs
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Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs

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