Abstract
| Language | English |
|---|---|
| Pages | 663-674 |
| Journal | NeuroImage |
| Volume | 42 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2008 |
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Mode level cognitive subtraction (MLCS) quantifies spatiotemporal reorganization inlarge-scale brain topographies. / Banerjee, Arpan; Tognoli, Emmanuelle; Assisi, Collins G.; Kelso, J.A. Scott; Jirsa, Viktor K.
In: NeuroImage, Vol. 42, No. 2, 2008, p. 663-674.Research output: Contribution to journal › Article
TY - JOUR
T1 - Mode level cognitive subtraction (MLCS) quantifies spatiotemporal reorganization inlarge-scale brain topographies
AU - Banerjee, Arpan
AU - Tognoli, Emmanuelle
AU - Assisi, Collins G.
AU - Kelso, J.A. Scott
AU - Jirsa, Viktor K.
PY - 2008
Y1 - 2008
N2 - Contemporary brain theories of cognitive function posit spatial, temporal and spatiotemporal reorganization as mechanisms for neural information processing. Corresponding brain imaging results underwrite this perspective of large-scale reorganization. As we show here, a suitable choice of experimental control tasksallows the disambiguation of the spatial and temporal components of reorganization to a quantifiable degree of certainty. When using electro- or magnetoencephalography (EEG or MEG), our approach relies on the identification of lower dimensional spaces obtained from the high dimensional data of suitably chosen control task conditions. Encephalographic data from task conditions are reconstructed within these control spaces. We show that the residual signal (part of the task signal not captured by the control spaces) allows the quantification of the degree of spatial reorganization, such as recruitment of additional brain networks.
AB - Contemporary brain theories of cognitive function posit spatial, temporal and spatiotemporal reorganization as mechanisms for neural information processing. Corresponding brain imaging results underwrite this perspective of large-scale reorganization. As we show here, a suitable choice of experimental control tasksallows the disambiguation of the spatial and temporal components of reorganization to a quantifiable degree of certainty. When using electro- or magnetoencephalography (EEG or MEG), our approach relies on the identification of lower dimensional spaces obtained from the high dimensional data of suitably chosen control task conditions. Encephalographic data from task conditions are reconstructed within these control spaces. We show that the residual signal (part of the task signal not captured by the control spaces) allows the quantification of the degree of spatial reorganization, such as recruitment of additional brain networks.
U2 - 10.1016/j.neuroimage.2008.04.260
DO - 10.1016/j.neuroimage.2008.04.260
M3 - Article
VL - 42
SP - 663
EP - 674
JO - Neurolmage
T2 - Neurolmage
JF - Neurolmage
SN - 1053-8119
IS - 2
ER -