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Assessing direct paths of intracortical causal information flow of oscillatory activity with the isolated effective coherence (iCoh)

Overview of attention for article published in Frontiers in Human Neuroscience, June 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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8 X users
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Title
Assessing direct paths of intracortical causal information flow of oscillatory activity with the isolated effective coherence (iCoh)
Published in
Frontiers in Human Neuroscience, June 2014
DOI 10.3389/fnhum.2014.00448
Pubmed ID
Authors

Roberto D. Pascual-Marqui, Rolando J. Biscay, Jorge Bosch-Bayard, Dietrich Lehmann, Kieko Kochi, Toshihiko Kinoshita, Naoto Yamada, Norihiro Sadato

Abstract

Functional connectivity is of central importance in understanding brain function. For this purpose, multiple time series of electric cortical activity can be used for assessing the properties of a network: the strength, directionality, and spectral characteristics (i.e., which oscillations are preferentially transmitted) of the connections. The partial directed coherence (PDC) of Baccala and Sameshima (2001) is a widely used method for this problem. The three aims of this study are: (1) To show that the PDC can misrepresent the frequency response under plausible realistic conditions, thus defeating the main purpose for which the measure was developed; (2) To provide a solution to this problem, namely the "isolated effective coherence" (iCoh), which consists of estimating the partial coherence under a multivariate autoregressive model, followed by setting all irrelevant associations to zero, other than the particular directional association of interest; and (3) To show that adequate iCoh estimators can be obtained from non-invasively computed cortical signals based on exact low resolution electromagnetic tomography (eLORETA) applied to scalp EEG recordings. To illustrate the severity of the problem with the PDC, and the solution achieved by the iCoh, three examples are given, based on: (1) Simulated time series with known dynamics; (2) Simulated cortical sources with known dynamics, used for generating EEG recordings, which are then used for estimating (with eLORETA) the source signals for the final connectivity assessment; and (3) EEG recordings in rats. Lastly, real human recordings are analyzed, where the iCoh between six cortical regions of interest are calculated and compared under eyes open and closed conditions, using 61-channel EEG recordings from 109 subjects. During eyes closed, the posterior cingulate sends alpha activity to all other regions. During eyes open, the anterior cingulate sends theta-alpha activity to other frontal regions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 1%
Switzerland 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Cuba 1 <1%
China 1 <1%
Canada 1 <1%
Unknown 131 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 20%
Researcher 28 20%
Student > Master 16 11%
Professor 15 11%
Professor > Associate Professor 10 7%
Other 26 18%
Unknown 18 13%
Readers by discipline Count As %
Neuroscience 31 22%
Engineering 20 14%
Psychology 19 13%
Medicine and Dentistry 16 11%
Computer Science 8 6%
Other 20 14%
Unknown 28 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 December 2020.
All research outputs
#5,828,936
of 23,577,761 outputs
Outputs from Frontiers in Human Neuroscience
#2,329
of 7,319 outputs
Outputs of similar age
#53,419
of 230,006 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#113
of 254 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 67% of its peers.
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 230,006 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 254 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.