2014
DOI: 10.1016/j.neuroimage.2014.01.007
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Oscillatory activity in neocortical networks during tactile discrimination near the limit of spatial acuity

Abstract: Oscillatory interactions within functionally specialized but distributed brain regions are believed to be central to perceptual and cognitive functions. Here, using human scalp electroencephalography (EEG) recordings combined with source reconstruction techniques, we study how oscillatory activity functionally organizes different neocortical regions during a tactile discrimination task near the limit of spatial acuity. While undergoing EEG recordings, blindfolded participants felt a linear three-dot array pres… Show more

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Cited by 49 publications
(49 citation statements)
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“…Human electrophysiological studies are consistent with this possibility: activity in somatosensory cortex propagates to the LOC as early as 150ms after stimulus onset (Lucan et al, 2010; Adhikari et al, 2014) in a beta-band oscillatory network (Adhikari et al, 2014). This might reflect cortical pathways between primary somatosensory and visual cortices demonstrated in the macaque (Négyessy et al, 2006).…”
Section: Why Are Visual Cortical Regions Active During Touch?mentioning
confidence: 74%
“…Human electrophysiological studies are consistent with this possibility: activity in somatosensory cortex propagates to the LOC as early as 150ms after stimulus onset (Lucan et al, 2010; Adhikari et al, 2014) in a beta-band oscillatory network (Adhikari et al, 2014). This might reflect cortical pathways between primary somatosensory and visual cortices demonstrated in the macaque (Négyessy et al, 2006).…”
Section: Why Are Visual Cortical Regions Active During Touch?mentioning
confidence: 74%
“…For example, tactile discrimination abilities, have consistently shown relationships with a number of cortical processing markers. Predictive measures include changes in S1 cortical activity (Hoeffken et al, 2007; Pleger et al, 2006, 2001; Ragert et al, 2003; Tegenthoff et al, 2005), finger map size (Duncan & Boynton, 2007), and EEG oscillations (Adhikari, Sathian, Epstein, Lamichhane, & Dhamala, 2014), confirming that activity in S1 is related to task performance.…”
Section: Introductionmentioning
confidence: 80%
“…The threshold value of GC, for statistical significance, was computed from surrogate data methods by using data permutation calculating GC values and a gamma-function to a distribution of maximum GC values from each permutation (Adhikari et al, 2014;Blair and Karniski, 1993). This threshold was designed to reject a null hypothesis of no interdependence at a significance level of p < 10 À3 .…”
Section: Computation Of Spectral Power and Gcmentioning
confidence: 99%