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Lin SS, Zhou B, Chen BJ, Jiang RT, Li B, Illes P, Semyanov A, Tang Y, Verkhratsky A. Electroacupuncture prevents astrocyte atrophy to alleviate depression. Cell Death Dis 2023; 14:343. [PMID: 37248211 DOI: 10.1038/s41419-023-05839-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/16/2023] [Accepted: 04/26/2023] [Indexed: 05/31/2023]
Abstract
Astrocyte atrophy is the main histopathological hallmark of major depressive disorder (MDD) in humans and in animal models of depression. Here we show that electroacupuncture prevents astrocyte atrophy in the prefrontal cortex and alleviates depressive-like behaviour in mice subjected to chronic unpredictable mild stress (CUMS). Treatment of mice with CUMS induced depressive-like phenotypes as confirmed by sucrose preference test, tail suspension test, and forced swimming test. These behavioural changes were paralleled with morphological atrophy of astrocytes in the prefrontal cortex, revealed by analysis of 3D reconstructions of confocal Z-stack images of mCherry expressing astrocytes. This morphological atrophy was accompanied by a decrease in the expression of cytoskeletal linker Ezrin, associated with formation of astrocytic leaflets, which form astroglial synaptic cradle. Electroacupuncture at the acupoint ST36, as well as treatment with anti-depressant fluoxetine, prevented depressive-like behaviours, astrocytic atrophy, and down-regulation of astrocytic ezrin. In conclusion, our data further strengthen the notion of a primary role of astrocytic atrophy in depression and reveal astrocytes as cellular target for electroacupuncture in treatment of depressive disorders.
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Affiliation(s)
- Si-Si Lin
- International Joint Research Centre on Purinergic Signalling of Sichuan Province /Research Centre on TCM-Rehabilitation and Neural Circuit, School of Acupuncture and Tuina/Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Bin Zhou
- Laboratory of Anaesthesia and Critical Care Medicine, Department of Anaesthesiology, Translational Neuroscience Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Bin-Jie Chen
- Department of Forensic Analytical Toxicology, School of Forensic Medicine, China Medical University, Shenyang, China
| | - Ruo-Tian Jiang
- Laboratory of Anaesthesia and Critical Care Medicine, Department of Anaesthesiology, Translational Neuroscience Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Baoman Li
- Department of Forensic Analytical Toxicology, School of Forensic Medicine, China Medical University, Shenyang, China
| | - Peter Illes
- International Joint Research Centre on Purinergic Signalling of Sichuan Province /Research Centre on TCM-Rehabilitation and Neural Circuit, School of Acupuncture and Tuina/Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Rudolf Boehm Institute for Pharmacology and Toxicology, University of Leipzig, Leipzig, Germany
| | - Alexey Semyanov
- College of Medicine, Jiaxing University, Jiaxing, China
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - Yong Tang
- International Joint Research Centre on Purinergic Signalling of Sichuan Province /Research Centre on TCM-Rehabilitation and Neural Circuit, School of Acupuncture and Tuina/Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
- Acupuncture and Chronobiology Key Laboratory of Sichuan Province, Chengdu, China.
| | - Alexei Verkhratsky
- International Joint Research Centre on Purinergic Signalling of Sichuan Province /Research Centre on TCM-Rehabilitation and Neural Circuit, School of Acupuncture and Tuina/Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
- Department of Forensic Analytical Toxicology, School of Forensic Medicine, China Medical University, Shenyang, China.
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
- Achucarro Centre for Neuroscience, IKERBASQUE, Basque Foundation for Science, Bilbao, Spain.
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Huang H, Yue X, Huang X, Long W, Kang S, Rao Y, Zeng J, Zuo J, Wang L, Li H, Wang Y, Qiu S, Zhao W. Brain Activities Responding to Acupuncture at ST36 ( zusanli) in Healthy Subjects: A Systematic Review and Meta-Analysis of Task-Based fMRI Studies. Front Neurol 2022; 13:930753. [PMID: 35968313 PMCID: PMC9373901 DOI: 10.3389/fneur.2022.930753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/23/2022] [Indexed: 11/17/2022] Open
Abstract
Purpose Stomach 36 (ST36, zusanli) is one of the important acupoints in acupuncture. Despite clinical functional magnetic resonance imaging (fMRI) studies of ST36 acupuncture, the brain activities and the neural mechanism following acupuncture at ST36 remain unclear. Methods Literature searches were conducted on online databases, including MEDLINE, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang database, WeiPu database, and China Biology Medicine, for task-based fMRI studies of acupuncture at ST36 in healthy subjects. Brain regions activated by ST36 acupuncture were systematically evaluated and subjected to seed-based d mapping meta-analysis. Subgroup analysis was conducted on control procedures, manual acupuncture, electrical acupuncture (EA), and acupuncture-specific activations. Meta-regression analysis was performed to explore the effects of needle retention time on brain activities following ST36 acupuncture stimulation. The activated brain regions were further decoded and mapped on large-scale functional networks to further decipher the clinical relevance of acupuncturing at ST36. Results A total of sixteen studies, involving a total of 401 right-handed healthy participants, that satisfied the inclusion criteria were included in the present meta-analysis. Meta-analysis showed that acupuncturing on ST36 positively activates the opercular part of the right inferior frontal gyrus (IFG.R), left superior temporal gyrus (STG.L), and right median cingulate/paracingulate gyri (MCG.R) regions. Needle retention time in an acupuncture session positively correlates with the activation of the left olfactory cortex, as shown in meta-regression analysis. Subgroup analysis revealed that EA stimulation may be a source of heterogeneity in the pooled results. Functional network mappings showed that the activated areas were mapped to the auditory network and salience network. Further functional decoding analysis showed that acupuncture on ST36 was associated with pain, secondary somatosensory, sound and language processing, and mood regulation. Conclusion Acupuncture at ST36 in healthy individuals positively activates the opercular part of IFG.R, STG.L, and MCG.R. The left olfactory cortex may exhibit positive needle retention time-dependent activities. Our findings may have clinical implications for acupuncture in analgesia, language processing, and mood disorders. Systematic Review Registration https://inplasy.com/inplasy-2021-12-0035.
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Affiliation(s)
- Haoming Huang
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaomei Yue
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xi Huang
- Department of Geriatrics, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wenjie Long
- Department of Geriatrics, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shangyu Kang
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yawen Rao
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingchun Zeng
- Department of Rehabilitation, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Junling Zuo
- Department of Emergency, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lin Wang
- Department of Emergency, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hongjuan Li
- The First Comprehensive Department, The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Province Hospital of Chinese Medicine), Guangzhou, China
| | - Yeqing Wang
- Department of Chinese Medicine, The First Affiliated Hospital, School of Clinical Medicine of Guangdong Pharmaceutical University, Guangzhou, China
| | - Shijun Qiu
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Weixuan Zhao
- Department of Chinese Medicine, The First Affiliated Hospital, School of Clinical Medicine of Guangdong Pharmaceutical University, Guangzhou, China
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Qiu K, Yin T, Hong X, Sun R, He Z, Liu X, Ma P, Yang J, Lan L, Li Z, Tang C, Cheng S, Liang F, Zeng F. Does the Acupoint Specificity Exist? Evidence from Functional Neuroimaging Studies. Curr Med Imaging 2020; 16:629-638. [PMID: 32723234 DOI: 10.2174/1573405615666190220113111] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 01/10/2019] [Accepted: 01/20/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Using functional neuroimaging techniques to explore the central mechanism of acupoint specificity, the key of acupuncture theory and clinical practice, has attracted increasing attention worldwide. This review aimed to investigate the current status of functional neuroimaging studies on acupoint specificity and explore the potential influencing factors for the expression of acupoint specificity in neuroimaging studies. METHODS PubMed database was searched from January 1st, 1995 to December 31st, 2016 with the language restriction in English. Data including basic information, methodology and study results were extracted and analyzed from the eligible records. RESULTS Seventy-nine studies were finally enrolled. 65.8% of studies were performed in China, 73.4% of studies were conducted with healthy subjects, 77.2% of studies chose manual acupuncture as the intervention, 86.1% of studies focused on the instant efficacy and 89.9% of studies used functional magnetic resonance imaging as scanning technique. The average sample size was 16 per group. The comparison of verum acupoints and sham acupoints were the main body of acupoint specificity researches. 93.7% of studies obtained the positive results and favored the existence of acupoint specificity. CONCLUSION This review affirmed the existence of acupoint specificity and deemed that the acupoint specificity was relative. Multiple factors such as participants, sample size, acupoint combinations, treatment courses, and types of acupoint could influence the expression of acupoint specificity.
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Affiliation(s)
- Ke Qiu
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Tao Yin
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Xiaojuan Hong
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Ruirui Sun
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Zhaoxuan He
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Xiaoyan Liu
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Peihong Ma
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Jie Yang
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Lei Lan
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Zhengjie Li
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Chenjian Tang
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Shirui Cheng
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Fanrong Liang
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Fang Zeng
- Acupuncture and Tuina School/The 3rd Teaching Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
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Sun ZG, Pi YL, Zhang J, Wang M, Zou J, Wu W. Effect of acupuncture at ST36 on motor cortical excitation and inhibition. Brain Behav 2019; 9:e01370. [PMID: 31359627 PMCID: PMC6749473 DOI: 10.1002/brb3.1370] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 06/20/2019] [Accepted: 07/01/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Acupuncture at Zusanli (ST36) is often used to facilitate motor recovery after stroke. However, the effect of acupuncture at ST36 on motor cortical excitation and inhibition remains unclear. This study aimed to explore the effect of acupuncture at ST36 on motor cortical excitation and inhibition. METHODS Twenty healthy volunteers were recruited to receive acupuncture treatment. We selected the acupoint ST36 and its respective sham point as the experimental acupoint. Transcranial magnetic stimulation (TMS) was used to measure motor-evoked potentials (MEP) at 7 time points-before acupuncture (Pre), acupuncture (T0), 4 and 8 min after acupuncture (T4; T8), needle removal (T12), 4 and 8 min after needle removal (T16; T20). Simultaneously, paired TMS (pTMS) was employed to measure short- and long-interval intracortical inhibition (SICI [short latency intracortical inhibition]; LICI [long latency intracortical inhibition]), respectively, at three time points-before acupuncture (Pre), acupuncture (T0), needle removal (T12). After removing the acupuncture needle, all subjects were asked to quantify their Deqi sensation using a Gas table. RESULTS The average Deqi sensation score of all subjects during acupuncture at ST36 was higher than that observed at the sham point. With acupuncture at ST36, the MEP amplitude was higher at three time points (T0, T4, T8) than at Pre, although the MEP amplitude tended toward Pre after needle removal. The MEP amplitude was also higher at the same time points (T0, T4, T8) than at the sham point. Furthermore, the Deqi sensation score was correlated with MEP amplitude. With acupuncture at ST36, SICI and LICI at T0 were higher than those at Pre, and SICI and LICI at T0 were higher than those at the sham point. CONCLUSION Acupuncture at ST36 increased motor cortical excitation and had an effect on the remaining needle phase. Deqi sensation was correlated with MEP amplitude. Acupuncture at ST36 also decreased motor cortical inhibition.
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Affiliation(s)
- Zhong-Guang Sun
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Yan-Ling Pi
- Shanghai Punan Hospital of Pudong New District, Shanghai, China
| | - Jian Zhang
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Miao Wang
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Jun Zou
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Wei Wu
- Affiliated Competitive Sport School, Shanghai University of Sport, Shanghai, China
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The Status of the Quality Control in Acupuncture-Neuroimaging Studies. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2016; 2016:3685785. [PMID: 27242911 PMCID: PMC4875991 DOI: 10.1155/2016/3685785] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 03/03/2016] [Accepted: 03/27/2016] [Indexed: 12/31/2022]
Abstract
Using neuroimaging techniques to explore the central mechanism of acupuncture gains increasing attention, but the quality control of acupuncture-neuroimaging study remains to be improved. We searched the PubMed Database during 1995 to 2014. The original English articles with neuroimaging scan performed on human beings were included. The data involved quality control including the author, sample size, characteristics of the participant, neuroimaging technology, and acupuncture intervention were extracted and analyzed. The rigorous inclusion and exclusion criteria are important guaranty for the participants' homogeneity. The standard operation process of acupuncture and the stricter requirement for acupuncturist play significant role in quality control. More attention should be paid to the quality control in future studies to improve the reproducibility and reliability of the acupuncture-neuroimaging studies.
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Scheffold BE, Hsieh CL, Litscher G. Neuroimaging and Neuromonitoring Effects of Electro and Manual Acupuncture on the Central Nervous System: A Literature Review and Analysis. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2015; 2015:641742. [PMID: 26339269 PMCID: PMC4538975 DOI: 10.1155/2015/641742] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Accepted: 09/15/2014] [Indexed: 11/18/2022]
Abstract
The aim of this review is to provide an overview of the different effects of manual and electroacupuncture on the central nervous system in studies with different neuroimaging interventions. The Database PubMed was searched from 1/1/2000 to 1/6/2014 with restriction to human studies in English language. Data collection for functional magnetic resonance (fMRI) studies was restricted to the period from 1/1/2010 to 1/6/2014 due to a recently published review which included all published randomized and nonrandomized controlled clinical studies as well as observational studies with control groups, no blinding required. Only studies comparing manual or electroacupuncture with sham acupuncture were eligible. All participants were healthy adult men and women. A majority of 25 studies compared manual versus sham, a minority of 7 trials compared electro versus sham and only 1 study compared electro versus manual acupuncture. In 29 out of 33 studies verum acupuncture results were found to present either more or different modulation effects on neurological components measured by neuroimaging and neuromonitoring methods than sham acupuncture. Only four studies reported no effects of verum in comparison to sham acupuncture. Evaluation of the very heterogeneous results shows evidence that verum acupuncture elicits more modulation effects on neurological components than sham acupuncture.
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Affiliation(s)
- Brigitte Elisabeth Scheffold
- Graduate Institute of Acupuncture Science, International Master Program, China Medical University, Taichung 40402, Taiwan
| | - Ching-Liang Hsieh
- Graduate Institute of Integrated Medicine, China Medical University, Taichung 40402, Taiwan
| | - Gerhard Litscher
- China Medical University, Taichung 40402, Taiwan
- Research Unit for Complementary and Integrative Laser Medicine, Research Unit of Biomedical Engineering in Anesthesia and Intensive Care Medicine, and TCM Research Center Graz, Medical University of Graz, 8036 Graz, Austria
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He T, Zhu W, Du SQ, Yang JW, Li F, Yang BF, Shi GX, Liu CZ. Neural mechanisms of acupuncture as revealed by fMRI studies. Auton Neurosci 2015; 190:1-9. [PMID: 25900479 DOI: 10.1016/j.autneu.2015.03.006] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2014] [Revised: 03/20/2015] [Accepted: 03/25/2015] [Indexed: 01/28/2023]
Abstract
As an ancient therapeutic method, acupuncture has been used to treat many diseases as an adjunctive therapy. However, its clinical efficacy remains controversial and the neural mechanisms have not been well understood. Accumulating studies have revealed that fMRI has made it possible to study brain responses to acupuncture. This review aims to provide scientific evidence to support the notion and discuss how these findings contribute to the neural mechanisms of acupuncture.
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Affiliation(s)
- Tian He
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, 23 Meishuguanhou Street, Dongcheng District, Beijing 100010, China
| | - Wen Zhu
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, 23 Meishuguanhou Street, Dongcheng District, Beijing 100010, China
| | - Si-Qi Du
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, 23 Meishuguanhou Street, Dongcheng District, Beijing 100010, China
| | - Jing-Wen Yang
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, 23 Meishuguanhou Street, Dongcheng District, Beijing 100010, China
| | - Fang Li
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, 23 Meishuguanhou Street, Dongcheng District, Beijing 100010, China
| | - Bo-Feng Yang
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, 23 Meishuguanhou Street, Dongcheng District, Beijing 100010, China
| | - Guang-Xia Shi
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, 23 Meishuguanhou Street, Dongcheng District, Beijing 100010, China
| | - Cun-Zhi Liu
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, 23 Meishuguanhou Street, Dongcheng District, Beijing 100010, China.
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Gao Y, Lin Z, Tao J, Yang S, Chen R, Jiang C, Dong K, Huang J, Chen L. Evidence of timing effects on acupuncture: A functional magnetic resonance imaging study. Exp Ther Med 2014; 9:59-64. [PMID: 25452777 PMCID: PMC4247279 DOI: 10.3892/etm.2014.2056] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2014] [Accepted: 10/22/2014] [Indexed: 12/30/2022] Open
Abstract
According to Traditional Chinese Medicine there is an optimum time to administer acupuncture at a particular acupoint. The present study used functional magnetic resonance imaging to investigate the timing effects of acupuncture at the Zusanli (ST36) acupoint. A total of 10 healthy volunteers and 10 post-stroke patients were recruited. The subjects received acupuncture stimulation at ST36 during two time periods: between 7:00 a.m. and 9:00 a.m. (the AM condition) and between 3:00 p.m. and 5:00 p.m. (the PM condition), seven days later. Blood oxygenation level-dependent signals were captured while the patient was receiving the acupuncture stimulation. The results showed a stronger activation in the AM condition than in the PM condition in both healthy and stroke subjects. The significant regions in the healthy subjects included the prefrontal cortex, cingulum, thalamus and cerebellum; for the stroke patients, the significant regions were the cuneus, supplementary motor area and inferior parietal gyrus. Timing can therefore modulate brain activation patterns during acupuncture in healthy subjects and stroke patients; however, the modulation effect appears to differ between the two subject groups. Further studies are required to explore the timing effects of acupuncture at different acupoints in different populations.
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Affiliation(s)
- Yanling Gao
- Department of Rehabilitation Medicine, Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350001, P.R. China
| | - Zhicheng Lin
- Department of Rehabilitation Medicine, Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350001, P.R. China
| | - Jing Tao
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350108, P.R. China
| | - Shanli Yang
- Department of Rehabilitation Medicine, Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350001, P.R. China
| | - Ri Chen
- Department of Rehabilitation Medicine, The First Hospital of Quanzhou, Quanzhou, Fujian 362000, P.R. China
| | - Cai Jiang
- Fujian Provincial Rehabilitation Engineering Research Center, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350108, P.R. China
| | - Keng Dong
- Department of Rehabilitation Medicine, Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350001, P.R. China
| | - Jia Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350108, P.R. China
| | - Lidian Chen
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350108, P.R. China
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Kamran MA, Hong KS. Reduction of physiological effects in fNIRS waveforms for efficient brain-state decoding. Neurosci Lett 2014; 580:130-6. [PMID: 25111978 DOI: 10.1016/j.neulet.2014.07.058] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2014] [Revised: 07/20/2014] [Accepted: 07/31/2014] [Indexed: 11/28/2022]
Abstract
This paper presents a methodology for online estimation of brain activities with reduction in the effects of physiological noises in functional near-infrared spectroscopy signals. The input-output characteristics of a hemodynamic response are modeled as an autoregressive moving average model together with exogenous physical signals (i.e., ARMAX). In contrast to the fixed design matrix in the conventional general linear model, the proposed model incorporates the temporal variations in the experimental paradigm as well as in the hemodynamics. The performance of the proposed method has been tested by using box-car type functions followed by individual tapping tasks. The results and their significance were verified using t-statistics indicating that ARMAX seems to be better able to track/reveal the hemodynamic response. Also, online brain-activation maps were generated for localizing brain activities. Experimental results are compared with those of the existing conventional GLM-based method.
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Affiliation(s)
- M Ahmad Kamran
- Department of Cogno-Mechatronics Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 609-735, Republic of Korea.
| | - Keum-Shik Hong
- Department of Cogno-Mechatronics Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 609-735, Republic of Korea; School of Mechanical Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 609-735, Republic of Korea.
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Correlation between the Effects of Acupuncture at Taichong (LR3) and Functional Brain Areas: A Resting-State Functional Magnetic Resonance Imaging Study Using True versus Sham Acupuncture. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2014; 2014:729091. [PMID: 24963329 PMCID: PMC4055001 DOI: 10.1155/2014/729091] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Revised: 05/08/2014] [Accepted: 05/08/2014] [Indexed: 11/17/2022]
Abstract
Functional magnetic resonance imaging (fMRI) has been shown to detect the specificity of acupuncture points, as proved by numerous studies. In this study, resting-state fMRI was used to observe brain areas activated by acupuncture at the Taichong (LR3) acupoint. A total of 15 healthy subjects received brain resting-state fMRI before acupuncture and after sham and true acupuncture, respectively, at LR3. Image data processing was performed using Data Processing Assistant for Resting-State fMRI and REST software. The combination of amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) was used to analyze the changes in brain function during sham and true acupuncture. Acupuncture at LR3 can specifically activate or deactivate brain areas related to vision, movement, sensation, emotion, and analgesia. The specific alterations in the anterior cingulate gyrus, thalamus, and cerebellar posterior lobe have a crucial effect and provide a valuable reference. Sham acupuncture has a certain effect on psychological processes and does not affect brain areas related to function.
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Li C, Yang J, Park K, Wu H, Hu S, Zhang W, Bu J, Xu C, Qiu B, Zhang X. Prolonged repeated acupuncture stimulation induces habituation effects in pain-related brain areas: an FMRI study. PLoS One 2014; 9:e97502. [PMID: 24821143 PMCID: PMC4018444 DOI: 10.1371/journal.pone.0097502] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2014] [Accepted: 04/16/2014] [Indexed: 12/13/2022] Open
Abstract
Most previous studies of brain responses to acupuncture were designed to investigate the acupuncture instant effect while the cumulative effect that should be more important in clinical practice has seldom been discussed. In this study, the neural basis of the acupuncture cumulative effect was analyzed. For this experiment, forty healthy volunteers were recruited, in which more than 40 minutes of repeated acupuncture stimulation was implemented at acupoint Zhusanli (ST36). Three runs of acupuncture fMRI datasets were acquired, with each run consisting of two blocks of acupuncture stimulation. Besides general linear model (GLM) analysis, the cumulative effects of acupuncture were analyzed with analysis of covariance (ANCOVA) to find the association between the brain response and the cumulative duration of acupuncture stimulation in each stimulation block. The experimental results showed that the brain response in the initial stage was the strongest although the brain response to acupuncture was time-variant. In particular, the brain areas that were activated in the first block and the brain areas that demonstrated cumulative effects in the course of repeated acupuncture stimulation overlapped in the pain-related areas, including the bilateral middle cingulate cortex, the bilateral paracentral lobule, the SII, and the right thalamus. Furthermore, the cumulative effects demonstrated bimodal characteristics, i.e. the brain response was positive at the beginning, and became negative at the end. It was suggested that the cumulative effect of repeated acupuncture stimulation was consistent with the characteristic of habituation effects. This finding may explain the neurophysiologic mechanism underlying acupuncture analgesia.
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Affiliation(s)
- Chuanfu Li
- Laboratory of Digital Medical Imaging, Medical Imaging Center, First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Jun Yang
- Department of Acupuncture and Moxibustion, First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Kyungmo Park
- Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea
| | - Hongli Wu
- College of Medical Information engineering, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Sheng Hu
- School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China
| | - Wei Zhang
- Laboratory of Digital Medical Imaging, Medical Imaging Center, First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Junjie Bu
- CAS Key Laboratory of Brain Function & Disease and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China
| | - Chunsheng Xu
- Laboratory of Digital Medical Imaging, Medical Imaging Center, First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Bensheng Qiu
- School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiaochu Zhang
- CAS Key Laboratory of Brain Function & Disease and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China
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Beldzik E, Domagalik A, Daselaar S, Fafrowicz M, Froncisz W, Oginska H, Marek T. Contributive sources analysis: A measure of neural networks' contribution to brain activations. Neuroimage 2013; 76:304-12. [PMID: 23523811 DOI: 10.1016/j.neuroimage.2013.03.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2012] [Revised: 02/21/2013] [Accepted: 03/06/2013] [Indexed: 10/27/2022] Open
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13
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Li C, Yang J, Sun J, Xu C, Zhu Y, Lu Q, Yuan A, Zhu Y, Li L, Zhang W, Liu J, Huang J, Chen D, Wang L, Qin W, Tian J. Brain responses to acupuncture are probably dependent on the brain functional status. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2013; 2013:175278. [PMID: 23737817 PMCID: PMC3662123 DOI: 10.1155/2013/175278] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Revised: 04/07/2013] [Accepted: 04/30/2013] [Indexed: 12/17/2022]
Abstract
In recent years, neuroimaging studies of acupuncture have explored extensive aspects of brain responses to acupuncture in finding its underlying mechanisms. Most of these studies have been performed on healthy adults. Only a few studies have been performed on patients with diseases. Brain responses to acupuncture in patients with the same disease at different pathological stages have not been explored, although it may be more important and helpful in uncovering its underlying mechanisms. In the present study, we used fMRI to compare brain responses to acupuncture in patients with Bell's palsy at different pathological stages with normal controls and found that the brain response to acupuncture varied at different pathological stages of Bell's palsy. The brain response to acupuncture decreased in the early stages, increased in the later stages, and nearly returned to normal in the recovered group. All of the changes in the brain response to acupuncture could be explained as resulting from the changes in the brain functional status. Therefore, we proposed that the brain response to acupuncture is dependent on the brain functional status, while further investigation is needed to provide more evidence in support of this proposition.
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Affiliation(s)
- Chuanfu Li
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Jun Yang
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Jinbo Sun
- Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Chunsheng Xu
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Yuanqiang Zhu
- Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Qi Lu
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Aihong Yuan
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Yifang Zhu
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Luoyi Li
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Wei Zhang
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Junping Liu
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Jianjun Huang
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Dongxiao Chen
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Linying Wang
- Laboratory of Digital Medical Imaging, The First Affiliated Hospital of Anhui University of TCM, Hefei, Anhui 230031, China
| | - Wei Qin
- Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Jie Tian
- Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, China
- Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100190, China
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14
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A comparison of brain activity between healthy subjects and stroke patients on fMRI by acupuncture stimulation. Chin J Integr Med 2013; 19:269-76. [DOI: 10.1007/s11655-013-1436-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2012] [Indexed: 11/26/2022]
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15
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Quah-Smith I, Suo C, Williams MA, Sachdev PS. The Antidepressant Effect of Laser Acupuncture: A Comparison of the Resting Brain's Default Mode Network in Healthy and Depressed Subjects During Functional Magnetic Resonance Imaging. Med Acupunct 2013; 25:124-133. [PMID: 24761169 DOI: 10.1089/acu.2012.0901] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND It has been suggested that the antidepressant effect of laser acupuncture involves modulation of the default mode network (DMN) or resting state network (RSN). In this study, the authors investigated changes in the DMN during laser acupuncture in depressed and nondepressed participants. OBJECTIVE To aim of this study was to determine if the modulation of the DMN effects by laser acupuncture in depressed participants are different from those of nondepressed participants. DESIGN Randomized stimulation was performed with laser acupuncture on four putative antidepressant acupoints (LR 14, LR 8, CV 14, and HT 7) in a block on-off design, while the blood oxygenation level-dependent (BOLD) fMRI response was recorded from each subject's whole brain on a 3T scanner. DMN patterns of the participants were identified, using an independent component analysis. The identified DMN components from both the nondepressed group and the depressed group were then analytically compared using SPM5. SETTING This study took place at a research institute. SUBJECTS Ten nondepressed participants and 10 depressed participants (DS) as confirmed by the Hamilton Depression Rating Scale (HAM-D) participated in this study. INTERVENTION Low Intensity Laser Acupuncture. MAIN OUTCOME MEASURES Significant DMN patterns in one group were greater than those in the other group. RESULTS The nondepressed participants had significant modulation of DMN in the frontal region at the medial frontal gyrus (verum laser>rest, p<0.001) for three acupoints (LR 14, LR 8, and CV 14). For the depressive participants, the DMN modulation occurred at the inferior parietal cortex and the cerebellum (verum laser>rest, p<0.001). CONCLUSIONS Laser acupuncture on LR 8, LR 14, and CV 14 stimulated both the anterior and posterior DMN in both the nondepressed and depressed participants. However, in the nondepressed participants, there was consistently outstanding modulation of the anterior DMN at the medial frontal gyrus across all three acupoints. In the depressed participants, there was wider posterior DMN modulation at the parieto-temporal-limbic cortices. This is part of the antidepressant effect of laser acupuncture.
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Affiliation(s)
- Im Quah-Smith
- School of Psychiatry, Faculty of Medicine, University of New South Wales (UNSW) , Australia . ; Neuropsychiatric Institute (NPI) , Prince of Wales Hospital, Randwick, Australia
| | - Chao Suo
- Brain and Ageing Research Program, Centre for Healthy Brain Ageing, School of Psychiatry, UNSW Medicine, University of New South Wales , New South Wales, Australia
| | - Mark A Williams
- Macquarie Centre for Cognitive Sciences, Macquarie University , Sydney, Australia
| | - Perminder S Sachdev
- School of Psychiatry, Faculty of Medicine, University of New South Wales (UNSW) , Australia . ; Neuropsychiatric Institute (NPI) , Prince of Wales Hospital, Randwick, Australia . ; Centre for Healthy Brain Ageing, NPI, Euroa Centre, Prince of Wales Hospital , New South Wales, Australia
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Aqil M, Hong KS, Jeong MY, Ge SS. Cortical brain imaging by adaptive filtering of NIRS signals. Neurosci Lett 2012; 514:35-41. [DOI: 10.1016/j.neulet.2012.02.048] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2011] [Revised: 02/09/2012] [Accepted: 02/14/2012] [Indexed: 10/28/2022]
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17
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Dong M, Qin W, Sun J, Liu P, Yuan K, Liu J, Zhou G, von Deneen KM, Tian J. Tempo-spatial analysis of vision-related acupoint specificity in the occipital lobe using fMRI: an ICA study. Brain Res 2011; 1436:34-42. [PMID: 22197696 DOI: 10.1016/j.brainres.2011.11.050] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2011] [Revised: 09/15/2011] [Accepted: 11/28/2011] [Indexed: 11/19/2022]
Abstract
Functional acupoint specificity is one of the most debated topics in acupuncture neuroimaging research. Conventional studies investigating vision-related acupoint specificity empirically assume that acupuncture-induced hemodynamic response can be defined a priori and thus concentrate on distinguishing the spatial variations of response patterns across acupoints in the occipital lobe. However, evidence suggests that acupuncture-invoked BOLD signal changes are independent of a priori time shape. Additionally, temporal profiles reflect how a stimulus corresponds with the brain, implying the hemodynamic coherence induced by stimulation. Therefore, temporal information carried in acupuncture-related neural activity may be more crucial to specificity issues. This paper initiates the detection into tempo-spatial dimension and the goal of this study is to detect functional acupoint specificity by uniquely comparing the temporal activities of the occipital lobe among vision-related acupoints (VRA) and a non-acupoint (NAP). We utilized the independent component analysis (ICA) to extract temporal patterns of occipital response by stimulating a VRA, i.e. GB37, and a NAP. As an improvement over previous ones, another VRA, i.e., BL60 was employed to consolidate our findings. Results showed that although all groups showed V1 activity in the occipital lobe, dissociable temporal activities in this region categorized GB37 and NAP (r=0.05, p=0.64). This finding was replicable with regard to BL60 and NAP (r=-0.03, p=0.77). Intriguingly, stimulation at two VRAs induced highly correlated temporal activities (p<0.0001). This study adds positive evidence to the issue of vision-related acupoint specificity. The utilization of ICA and consideration of temporal dynamics may shed light on future studies.
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Affiliation(s)
- Minghao Dong
- Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, China
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Zhang Y, Tian J, Yuan K, Liu P, Zhuo L, Qin W, Zhao L, Liu J, von Deneen KM, Klahr NJ, Gold MS, Liu Y. Distinct resting-state brain activities in heroin-dependent individuals. Brain Res 2011; 1402:46-53. [PMID: 21669407 DOI: 10.1016/j.brainres.2011.05.054] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2011] [Revised: 05/19/2011] [Accepted: 05/22/2011] [Indexed: 11/27/2022]
Abstract
Previous functional imaging studies on heroin addicts have focused on abnormal brain functions based on specific tasks, while few fMRI studies concentrated on the resting-state abnormalities of heroin-dependent individuals. In the current study, we applied the pattern classification technique, which employs the feature extraction method of non-negative matrix factorization (NMF) and a support vector machine (SVM) classifier. Its main purpose was to characterize the discrepancy in activation patterns between heroin-dependent individuals and healthy subjects during the resting state. The results displayed a high accuracy in the activation pattern differences of the two groups, which included the orbitofrontal cortex (OFC), cingulate gyrus, frontal and para-limbic regions such as the anterior cingulate cortex (ACC), hippocampal/parahippocampal region, amygdala, caudate, putamen, as well as the posterior insula and thalamus. These findings indicate that significant biomarkers exist among the network of circuits that are involved in drug abuse. The implications from our study may help explain the behavioral and neuropsychological deficits in heroin-dependent individuals and shed light on the mechanisms underlying heroin addiction.
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Affiliation(s)
- Yi Zhang
- Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, China
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Current world literature. Curr Opin Support Palliat Care 2011; 5:174-83. [PMID: 21521986 DOI: 10.1097/spc.0b013e3283473351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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