Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers

doi:10.1007/s11682-015-9427-z

	Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers
	Feng, Dan 1,2; Yuan, Kai 1,2; Li, Yangding 1,2; Cai, Chenxi 1,2; Yin, Junsen 1,2; Bi, Yanzhi 1,2; Cheng, Jiadong 1,2; Guan, Yanyan 1,2; Shi, Sha 1,2; Yu, Dahua 3; Jin, Chenwang 4; Lu, Xiaoqi 3; Qin, Wei 1,2; Tian, Jie 1,2,5
发表期刊	BRAIN IMAGING AND BEHAVIOR
	2016-06-01
卷号	10 期号:2 页码:506-516
文章类型	Article
摘要	Tobacco use during later adolescence and young adulthood may cause serious neurophysiological changes; rationally, it is extremely important to study the relationship between brain dysfunction and behavioral performances in young adult smokers. Previous resting state studies investigated the neural mechanisms in smokers. Unfortunately, few studies focused on spontaneous activity differences between young adult smokers and nonsmokers from both intra-regional and inter-regional levels, less is known about the association between resting state abnormalities and behavioral deficits. Therefore, we used fractional amplitude of low frequency fluctuation (fALFF) and resting state functional connectivity (RSFC) to investigate the resting state spontaneous activity differences between young adult smokers and nonsmokers. A correlation analysis was carried out to assess the relationship between neuroimaging findings and clinical information (pack-years, cigarette dependence, age of onset and craving score) as well as cognitive control deficits measured by the Stroop task. Consistent with previous addiction findings, our results revealed the resting state abnormalities within frontostriatal circuits, i.e., enhanced spontaneous activity of the caudate and reduced functional strength between the caudate and anterior cingulate cortex (ACC) in young adult smokers. Moreover, the fALFF values of the caudate were correlated with craving and RSFC strength between the caudate and ACC was associated with the cognitive control impairments in young adult smokers. Our findings could lead to a better understanding of intrinsic functional architecture of baseline brain activity in young smokers by providing regional and brain circuit spontaneous neuronal activity properties as well as their association with cognitive control impairments.
关键词	Young Adult Smokers Fractional Amplitude Of Low Frequency Fluctuation Resting State Functional Connectivity Cognitive Control Caudate Anterior Cingulate Cortex
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
DOI	10.1007/s11682-015-9427-z
关键词[WOS]	INTELLIGENCE SCALE-4TH EDITION ; ANTERIOR CINGULATE CORTEX ; RESTING-STATE FMRI ; CIGARETTE-SMOKING ; DOPAMINE RELEASE ; NICOTINE-DEPENDENCE ; INHIBITORY CONTROL ; ADDICTION ; BRAIN ; CONNECTIVITY
收录类别	SCI
语种	英语
WOS研究方向	Neurosciences & Neurology
WOS类目	Neuroimaging
WOS记录号	WOS:000382390000017
引用统计	被引频次：30[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12646
专题	中国科学院分子影像重点实验室
作者单位	1.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China 2.Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian, Peoples R China 3.Inner Mongolia Univ Sci & Technol, Inner Mongolia Key Lab Pattern Recognit & Intelli, Sch Informat Engn, Baotou 014010, Inner Mongolia, Peoples R China 4.Xi An Jiao Tong Univ, Dept Med Imaging, Affiliated Hosp 1, Coll Med, Xian 710061, Shaanxi, Peoples R China 5.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Feng, Dan,Yuan, Kai,Li, Yangding,et al. Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers[J]. BRAIN IMAGING AND BEHAVIOR,2016,10(2):506-516.
APA	Feng, Dan.,Yuan, Kai.,Li, Yangding.,Cai, Chenxi.,Yin, Junsen.,...&Tian, Jie.(2016).Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers.BRAIN IMAGING AND BEHAVIOR,10(2),506-516.
MLA	Feng, Dan,et al."Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers".BRAIN IMAGING AND BEHAVIOR 10.2(2016):506-516.