Neural decoding of visual stimuli varies with fluctuations in global network efficiency

Cocchi, Luca, Yang, Zhengyi, Zalesky, Andrew, Stelzer, Johannes, Hearne, Luke J. , Gollo, Leonardo L. and Mattingley, Jason B. (2017) Neural decoding of visual stimuli varies with fluctuations in global network efficiency. Human Brain Mapping, 38 6: 3069-3080. doi:10.1002/hbm.23574

Author Cocchi, Luca
Yang, Zhengyi
Zalesky, Andrew
Stelzer, Johannes
Hearne, Luke J.
Gollo, Leonardo L.
Mattingley, Jason B.
Title Neural decoding of visual stimuli varies with fluctuations in global network efficiency
Journal name Human Brain Mapping   Check publisher's open access policy
ISSN 1097-0193
Publication date 2017-03-25
Sub-type Article (original research)
DOI 10.1002/hbm.23574
Open Access Status Not yet assessed
Volume 38
Issue 6
Start page 3069
End page 3080
Total pages 12
Publisher John Wiley and Sons Inc.
Language eng
Abstract 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.
Keyword Brain networks
Dynamic connectivity
Global efficiency
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

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