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Aberrant prefrontal–parietal–cerebellar circuits in alcohol dependence

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...

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Detalles Bibliográficos
Autores principales: Liu, Run, Liu, Bi-Xia, Ma, Mingyue, Kong, Dan, Li, Guanglin, Yang, Junle, Wu, Xiaoping, Zheng, Jiyong, Dong, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247957/
https://www.ncbi.nlm.nih.gov/pubmed/30532545
http://dx.doi.org/10.2147/NDT.S178257
Descripción
Sumario: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.