Aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence
Run Liu,1,* Bi-Xia Liu,2,* Mingyue Ma,1,* Dan Kong,3,* Guanglin Li,4 Junle Yang,1 Xiaoping Wu,1 Jiyong Zheng,3 Yan Dong1 1Department of Radiology, The Affiliated Xi’an Central Hospital of Xi’an Jiaotong University, Xi’an, 710004 Shaanxi, People’s Republic of...
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Dove Medical Press
2018
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oai:doaj.org-article:2e9cacf321814fe2beefea6a022a31ed2021-12-02T07:41:35ZAberrant prefrontal–parietal–cerebellar circuits in alcohol dependence1178-2021https://doaj.org/article/2e9cacf321814fe2beefea6a022a31ed2018-11-01T00:00:00Zhttps://www.dovepress.com/aberrant-prefrontal-parietal-cerebellar-circuits-in-alcohol-dependence-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Run Liu,1,* Bi-Xia Liu,2,* Mingyue Ma,1,* Dan Kong,3,* Guanglin Li,4 Junle Yang,1 Xiaoping Wu,1 Jiyong Zheng,3 Yan Dong1 1Department of Radiology, The Affiliated Xi’an Central Hospital of Xi’an Jiaotong University, Xi’an, 710004 Shaanxi, People’s Republic of China; 2Department of ICU, Jiangxi Provincial Cancer Hospital, Nanchang, 330029 Jiangxi, People’s Republic of China; 3Department of Medical Imaging, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, 223300 Jiangsu, People’s Republic of China; 4Honghui Hospital, Xi’an Jiaotong University, Xi’an, 710054 Shaanxi, People’s Republic of China *These authors contributed equally to this work Objective: To identify whether the amplitude of low-frequency fluctuations (ALFF) analysis has the potential to serve as a biological marker to detect alcohol-induced spontaneous brain activities and distinguish the patients with alcohol dependence from the healthy subjects. Methods: We utilized the ALFF analysis to report on the alcohol-induced spontaneous brain activities in 29 patients with alcohol dependence (9 female, 20 male) relative to 29 status-matched healthy subjects (11 female, 18 male). Receiver operating characteristic curve was used to test the ability of the ALFF analysis in discriminating the patients with alcohol dependence from the healthy subjects. Pearson correlation was used to evaluate the relationships between the signal value of those ALFF differences in brain areas and behavioral characteristics. Results: Alcohol-induced brain differences located in the right inferior parietal lobule and right supplementary motor area with significant higher ALFF values, and in the left precuneus and bilateral cerebellum posterior lobe with lower ALFF values. The movement-related areas were significantly correlated with each other (P<0.05). Receiver operating characteristic curve revealed good area under the curve values (mean, 0.86±0.079; 0.774–0.951) of the ALFF differences in those specific brain areas, as well as high degree of sensitivities (mean, 80.84%±14.01% or 80%±14.56%; 62.5%–100%) and specificities (mean, 83.32%±9.31%; 70.8%–95.8% or 84.16%±8%; 75%–95.8%). Conclusion: The ALFF analysis may serve as a biological indicator to detect the spontaneous brain activities in patients with alcohol dependence. The prefrontal–parietal–cerebellar circuit appears to be disturbed by long-term alcoholism in patients with alcohol dependence. Keywords: alcohol dependence, amplitude of low-frequency fluctuations, receiver operating characteristicLiu RLiu BXMa MKong DLi GYang JWu XZheng JDong YDove Medical PressarticleAlcohol dependenceAmplitude of low-frequency fluctuationsReceiver operating characteristicNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 14, Pp 3143-3150 (2018) |
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DOAJ |
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EN |
| topic |
Alcohol dependence Amplitude of low-frequency fluctuations Receiver operating characteristic Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 |
| spellingShingle |
Alcohol dependence Amplitude of low-frequency fluctuations Receiver operating characteristic Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Liu R Liu BX Ma M Kong D Li G Yang J Wu X Zheng J Dong Y Aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence |
| description |
Run Liu,1,* Bi-Xia Liu,2,* Mingyue Ma,1,* Dan Kong,3,* Guanglin Li,4 Junle Yang,1 Xiaoping Wu,1 Jiyong Zheng,3 Yan Dong1 1Department of Radiology, The Affiliated Xi’an Central Hospital of Xi’an Jiaotong University, Xi’an, 710004 Shaanxi, People’s Republic of China; 2Department of ICU, Jiangxi Provincial Cancer Hospital, Nanchang, 330029 Jiangxi, People’s Republic of China; 3Department of Medical Imaging, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, 223300 Jiangsu, People’s Republic of China; 4Honghui Hospital, Xi’an Jiaotong University, Xi’an, 710054 Shaanxi, People’s Republic of China *These authors contributed equally to this work Objective: To identify whether the amplitude of low-frequency fluctuations (ALFF) analysis has the potential to serve as a biological marker to detect alcohol-induced spontaneous brain activities and distinguish the patients with alcohol dependence from the healthy subjects. Methods: We utilized the ALFF analysis to report on the alcohol-induced spontaneous brain activities in 29 patients with alcohol dependence (9 female, 20 male) relative to 29 status-matched healthy subjects (11 female, 18 male). Receiver operating characteristic curve was used to test the ability of the ALFF analysis in discriminating the patients with alcohol dependence from the healthy subjects. Pearson correlation was used to evaluate the relationships between the signal value of those ALFF differences in brain areas and behavioral characteristics. Results: Alcohol-induced brain differences located in the right inferior parietal lobule and right supplementary motor area with significant higher ALFF values, and in the left precuneus and bilateral cerebellum posterior lobe with lower ALFF values. The movement-related areas were significantly correlated with each other (P<0.05). Receiver operating characteristic curve revealed good area under the curve values (mean, 0.86±0.079; 0.774–0.951) of the ALFF differences in those specific brain areas, as well as high degree of sensitivities (mean, 80.84%±14.01% or 80%±14.56%; 62.5%–100%) and specificities (mean, 83.32%±9.31%; 70.8%–95.8% or 84.16%±8%; 75%–95.8%). Conclusion: The ALFF analysis may serve as a biological indicator to detect the spontaneous brain activities in patients with alcohol dependence. The prefrontal–parietal–cerebellar circuit appears to be disturbed by long-term alcoholism in patients with alcohol dependence. Keywords: alcohol dependence, amplitude of low-frequency fluctuations, receiver operating characteristic |
| format |
article |
| author |
Liu R Liu BX Ma M Kong D Li G Yang J Wu X Zheng J Dong Y |
| author_facet |
Liu R Liu BX Ma M Kong D Li G Yang J Wu X Zheng J Dong Y |
| author_sort |
Liu R |
| title |
Aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence |
| title_short |
Aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence |
| title_full |
Aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence |
| title_fullStr |
Aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence |
| title_full_unstemmed |
Aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence |
| title_sort |
aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence |
| publisher |
Dove Medical Press |
| publishDate |
2018 |
| url |
https://doaj.org/article/2e9cacf321814fe2beefea6a022a31ed |
| work_keys_str_mv |
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