| Full text | |
| Author(s): |
Basile, Luis F. H.
[1, 2]
;
Sato, Joao R.
[3]
;
Pasquini, Henrique A.
[1]
;
Lozano, Mirna D.
[1]
;
Nucci, Mariana P.
[4]
;
Velasques, Bruna
[5]
;
Ribeiro, Pedro
[5]
;
Ramos, Renato T.
[6]
;
Anghina, Renato
[7]
Total Authors: 9
|
| Affiliation: | [1] UMESP, Fac Saude, Psychophysiol Lab, Sao Paulo, SP - Brazil
[2] Univ Sao Paulo, Sch Med, Dept Neurol, Div Neurosurg, Sao Paulo, SP - Brazil
[3] Fed Univ ABC, Ctr Math Computat & Cognit, Santo Andre, SP - Brazil
[4] Univ Sao Paulo, Sch Med, Dept Radiol, Sao Paulo, SP - Brazil
[5] Univ Fed Rio de Janeiro, Dept Psychiat, Rio De Janeiro, RJ - Brazil
[6] Univ Sao Paulo, Sch Med, Dept Psychiat, Sao Paulo, SP - Brazil
[7] Univ Sao Paulo, Sch Med, Dept Neurol, Sao Paulo, SP - Brazil
Total Affiliations: 7
|
| Document type: | Journal article |
| Source: | PLoS One; v. 10, n. 5 MAY 26 2015. |
| Web of Science Citations: | 3 |
| Abstract | |
The observation of highly variable sets of association neocortical areas across individuals, containing the estimated generators of Slow Potentials (SPs) and beta oscillations, lead to the persistence in individual analyses. This brought to notice an unexpected within individual topographic similarity between task conditions, despite our original interest in task-related differences. A recent related work explored the quantification of the similarity in beta topography between largely differing tasks. In this article, we used Independent Component Analysis (ICA) for the decomposition of beta activity from a visual attention task, and compared it with quiet resting, recorded by 128-channel EEG in 62 subjects. We statistically tested whether each ICA component obtained in one condition could be explained by a linear regression model based on the topographic patterns from the other condition, in each individual. Results were coherent with the previous report, showing a high topographic similarity between conditions. From an average of 12 beta component maps obtained for each task, over 80% were satisfactorily explained by the complementary task. Once more, the component maps including those considered unexplained, putatively ``task-specific{''}, had their scalp distribution and estimated cortical sources highly variable across subjects. These findings are discussed along with other studies based on individual data and the present fMRI results, reinforcing the increasingly accepted view that individual variability in sets of active neocortical association areas is not noise, but intrinsic to cortical physiology. Actual `noise', mainly stemming from group ``brain averaging{''} and the emphasis on statistical differences as opposed to similarities, may explain the overall hardship in replication of the vast literature on supposed task-specific forms of activity, and the ever inconclusive status of a universal functional mapping of cortical association areas. A new hypothesis, that individuals may use the same idiosyncratic sets of areas, at least by their fraction of activity in the sub-delta and beta range, in various non-sensory-motor forms of conscious activities, is a corollary of the discussed variability. (AU) | |
| FAPESP's process: | 13/07236-0 - Individual idiosyncrasy in the distribution of cortical electrical activity |
| Grantee: | Luis Fernando Hindi Basile |
| Support Opportunities: | Regular Research Grants |