Neural Decoding of Visual Stimuli Varies with Fluctuations in Global Network Efficiency
文献类型:期刊论文
作者 | Cocchi, Luca1,2; Yang, Zhengyi1,3,4![]() |
刊名 | HUMAN BRAIN MAPPING
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出版日期 | 2017-06-01 |
卷号 | 38期号:6页码:3069-3080 |
关键词 | Dynamic Connectivity Decoding Fmri Global Efficiency Brain Networks Connectomics Vision Faces Motion |
DOI | 10.1002/hbm.23574 |
文献子类 | Article |
英文摘要 | Functional magnetic resonance imaging (fMRI) studies have shown that neural activity fluctuates spontaneously between different states of global synchronization over a timescale of several seconds. Such fluctuations generate transient states of high and low correlation across distributed cortical areas. It has been hypothesized that such fluctuations in global efficiency might alter patterns of activity in local neuronal populations elicited by changes in incoming sensory stimuli. To test this prediction, we used a linear decoder to discriminate patterns of neural activity elicited by face and motion stimuli presented periodically while participants underwent time-resolved fMRI. As predicted, decoding was reliably higher during states of high global efficiency than during states of low efficiency, and this difference was evident across both visual and nonvisual cortical regions. The results indicate that slow fluctuations in global network efficiency are associated with variations in the pattern of activity across widespread cortical regions responsible for representing distinct categories of visual stimulus. More broadly, the findings highlight the importance of understanding the impact of global fluctuations in functional connectivity on specialized, stimulus driven neural processes. (C) 2017 Wiley Periodicals, Inc. |
WOS关键词 | FUSIFORM FACE AREA ; RESTING-STATE ; FUNCTIONAL CONNECTIVITY ; BIOLOGICAL MOTION ; BRAIN NETWORKS ; FMRI ; PERCEPTION ; DYNAMICS ; CORTEX ; OSCILLATIONS |
WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
语种 | 英语 |
WOS记录号 | WOS:000404939900020 |
资助机构 | Australian Research Council (ARC) Australian Laureate Fellowship(FL110100103) ; ARC Centre of Excellence for Integrative Brain Function(CE140100007) ; Australian National Health Medical Research Council(APP1099082 ; APP1047648 ; APP1110975) |
源URL | [http://ir.ia.ac.cn/handle/173211/15249] ![]() |
专题 | 自动化研究所_脑网络组研究中心 |
作者单位 | 1.Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia 2.QIMR Berghofer Med Res Inst, Brisbane, Qld, Australia 3.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China 4.Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld, Australia 5.Univ Melbourne, Melbourne Neuropsychiat Ctr, Melbourne, Vic, Australia 6.Univ Hosp Tuebingen, Dept Biomed Magnet Resonance Imaging, Tubingen, Germany 7.Max Planck Inst Biol Cybernet, Magnet Resonance Ctr, Tubingen, Germany 8.Univ Queensland, Sch Psychol, Brisbane, Qld, Australia |
推荐引用方式 GB/T 7714 | Cocchi, Luca,Yang, Zhengyi,Zalesky, Andrew,et al. Neural Decoding of Visual Stimuli Varies with Fluctuations in Global Network Efficiency[J]. HUMAN BRAIN MAPPING,2017,38(6):3069-3080. |
APA | Cocchi, Luca.,Yang, Zhengyi.,Zalesky, Andrew.,Stelzer, Johannes.,Hearne, Luke J..,...&Mattingley, Jason B..(2017).Neural Decoding of Visual Stimuli Varies with Fluctuations in Global Network Efficiency.HUMAN BRAIN MAPPING,38(6),3069-3080. |
MLA | Cocchi, Luca,et al."Neural Decoding of Visual Stimuli Varies with Fluctuations in Global Network Efficiency".HUMAN BRAIN MAPPING 38.6(2017):3069-3080. |
入库方式: OAI收割
来源:自动化研究所
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