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Disrupted white matter structural connectivity in heroin abusers.
Sun, Yan; Wang, Gui-Bin; Lin, Qi-Xiang; Lu, Lin; Shu, Ni; Meng, Shi-Qiu; Wang, Jun; Han, Hong-Bin; He, Yong; Shi, Jie.
Afiliação
  • Sun Y; National Institute on Drug Dependence, Peking University, China.
  • Wang GB; Beijing Key Laboratory on Drug Dependence Research, China.
  • Lin QX; Institute of Materia Medical, Chinese Academy of Medical Sciences and Peking Union Medical College, China.
  • Lu L; State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, China.
  • Shu N; National Institute on Drug Dependence, Peking University, China.
  • Meng SQ; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, China.
  • Wang J; Key Laboratory of Mental Health, Institute of Mental Health, Peking University Sixth Hospital, China.
  • Han HB; Beijing Key Laboratory on Drug Dependence Research, China.
  • He Y; State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, China.
  • Shi J; National Institute on Drug Dependence, Peking University, China.
Addict Biol ; 22(1): 184-195, 2017 Jan.
Article em En | MEDLINE | ID: mdl-26177615
Neurocognitive impairment is one of the factors that put heroin abusers at greater risk for relapse, and deficits in related functional brain connections have been found. However, the alterations in structural brain connections that may underlie these functional and neurocognitive impairments remain largely unknown. In the present study, we investigated topological organization alterations in the structural network of white matter in heroin abusers and examined the relationships between the network changes and clinical measures. We acquired diffusion tensor imaging datasets from 76 heroin abusers and 78 healthy controls. Network-based statistic was applied to identify alterations in interregional white matter connectivity, and graph theory methods were used to analyze the properties of global networks. The participants also completed a battery of neurocognitive measures. One increased subnetwork characterizing widespread abnormalities in structural connectivity was present in heroin users, which mainly composed of default-mode, attentional and visual systems. The connection strength was positively correlated with increases in fractional anisotropy in heroin abusers. Intriguingly, the changes in within-frontal and within-temporal connections in heroin abusers were significantly correlated with daily heroin dosage and impulsivity scores, respectively. These findings suggest that heroin abusers have extensive abnormal white matter connectivity, which may mediate the relationship between heroin dependence and clinical measures. The increase in white matter connectivity may be attributable to the inefficient microstructure integrity of white matter. The present findings extend our understanding of cerebral structural disruptions that underlie neurocognitive and functional deficits in heroin addiction and provide circuit-level markers for this chronic disorder.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 8_ODS3_consumo_sustancias_psicoactivas Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Substância Branca / Dependência de Heroína / Rede Nervosa Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Male Idioma: En Revista: Addict Biol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 8_ODS3_consumo_sustancias_psicoactivas Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Substância Branca / Dependência de Heroína / Rede Nervosa Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans / Male Idioma: En Revista: Addict Biol Ano de publicação: 2017 Tipo de documento: Article