Title: White Matter Integrity of Central Executive Network Correlates With Enhanced Brain Reactivity to Smoking Cues
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| Authors: Bi, YZ; Yuan, K; Yu, DH; Wang, RN; Li, M; Li, YD; Zhai, JQ; Lin, W; Tian, J
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| Author Full Names: Bi, Yanzhi; Yuan, Kai; Yu, Dahua; Wang, Ruonan; Li, Min; Li, Yangding; Zhai, Jinquan; Lin, Wei; Tian, Jie
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| Source: HUMAN BRAIN MAPPING, 38 (12):6239-6249; 10.1002/hbm.23830 DEC 2017
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| Language: English
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| Abstract: The attentional bias to smoking cues contributes to smoking cue reactivity and cognitive declines underlines smoking behaviors, which were probably associated with the central executive network (CEN). However, little is known about the implication of the structural connectivity of the CEN in smoking cue reactivity and cognitive control impairments in smokers. In the present study, the white matter structural connectivity of the CEN was quantified in 35 smokers and 26 non-smokers using the diffusion tensor imaging and deterministic fiber tractography methods. Smoking cue reactivity was evaluated using cue exposure tasks, and cognitive control performance was assessed by the Stroop task. Relative to non-smokers, smokers showed increased fractional anisotropy (FA) values of the bilateral CEN fiber tracts. The FA values of left CEN positively correlated with the smoking cue-induced activation of the dorsolateral prefrontal cortex and right middle occipital cortex in smokers. Meanwhile, the FA values of left CEN positively correlated with the incongruent errors during Stroop task in smokers. Collectively, the present study highlighted the role of the structural connectivity of the CEN in smoking cue reactivity and cognitive control performance, which may underpin the attentional bias to smoking cues and cognitive deficits in smokers. The multimodal imaging method by forging links from brain structure to brain function extended the notion that structural connections can modulate the brain activity in specific projection target regions. (c) 2017 Wiley Periodicals, Inc.
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| ISSN: 1065-9471
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| eISSN: 1097-0193
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| IDS Number: FM0UQ
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| Unique ID: WOS:000414683400030
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