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Task-related functional connectivity dynamics in a block-designed visual experiment

Overview of attention for article published in Frontiers in Human Neuroscience, September 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Title
Task-related functional connectivity dynamics in a block-designed visual experiment
Published in
Frontiers in Human Neuroscience, September 2015
DOI 10.3389/fnhum.2015.00543
Pubmed ID
Authors

Xin Di, Zening Fu, Shing Chow Chan, Yeung Sam Hung, Bharat B. Biswal, Zhiguo Zhang

Abstract

Studying task modulations of brain connectivity using functional magnetic resonance imaging (fMRI) is critical to understand brain functions that support cognitive and affective processes. Existing methods such as psychophysiological interaction (PPI) and dynamic causal modeling (DCM) usually implicitly assume that the connectivity patterns are stable over a block-designed task with identical stimuli. However, this assumption lacks empirical verification on high-temporal resolution fMRI data with reliable data-driven analysis methods. The present study performed a detailed examination of dynamic changes of functional connectivity (FC) in a simple block-designed visual checkerboard experiment with a sub-second sampling rate (TR = 0.645 s) by estimating time-varying correlation coefficient (TVCC) between BOLD responses of different brain regions. We observed reliable task-related FC changes (i.e., FCs were transiently decreased after task onset and went back to the baseline afterward) among several visual regions of the bilateral middle occipital gyrus (MOG) and the bilateral fusiform gyrus (FuG). Importantly, only the FCs between higher visual regions (MOG) and lower visual regions (FuG) exhibited such dynamic patterns. The results suggested that simply assuming a sustained FC during a task block may be insufficient to capture distinct task-related FC changes. The investigation of FC dynamics in tasks could improve our understanding of condition shifts and the coordination between different activated brain regions.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 <1%
Germany 1 <1%
Unknown 103 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Student > Master 20 19%
Researcher 18 17%
Student > Bachelor 6 6%
Other 6 6%
Other 14 13%
Unknown 15 14%
Readers by discipline Count As %
Neuroscience 30 29%
Psychology 16 15%
Engineering 11 10%
Agricultural and Biological Sciences 4 4%
Medicine and Dentistry 4 4%
Other 7 7%
Unknown 33 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2015.
All research outputs
#12,875,928
of 22,828,180 outputs
Outputs from Frontiers in Human Neuroscience
#3,604
of 7,152 outputs
Outputs of similar age
#120,674
of 274,275 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#70
of 158 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,152 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 274,275 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.