Exact(2)
Based on this analysis, the dysgranular zone (DZ) in the somatosensory area was considered to exhibit a profile of a higher order area, which is consistent with previous proposal.
This was previously shown for central visual field injections in areas V1, V2, and V4 (Markov et al. 2011) and is extended in the present study to area 10, a higher order area with about twice as many inputs as the early visual areas (Fig. 11).
Similar(58)
These results indicate a functional dissociation between higher order areas for observational learning (i.e. parts of the MNS as reflected in 10Hz coherence measures) and peripheral structures (i.e. lateral occipital gyrus for alpha; central sulcus for mu) that provide low-level support for observation and motor imagery of action sequences.
The high PC1 score is consistent with this observation and may support a proposal that the dysgranular non-barrel cortex is a higher order somatosensory area [47].
The integration of fMRI and ERP data recorded during a WM task requiring mental manipulation of colors and angles revealed a progression in neural activity from posterior visual areas to higher order areas in the ventral and dorsal processing streams, which showed content-specific modulations in activity.
The N200, negative slow wave, and P3b were modulated by the information content of WM, and an fMRI-constrained source model revealed a progression in neural activity from posterior visual areas to higher order areas in the ventral and dorsal processing streams.
Accordingly, for the poststimulus interval, there is a growing consensus that early neural activity related to the stimulus representation in sensory regions (i.e., not driven by recurrent activation from higher order areas) alone does not determine whether a stimulus will become reportable, but only when it is embedded in a network (Lamme 2006).
Parallel studies using magnetoencephalography (MEG) have reported widespread intra- and inter-hemispheric synchronized activity during binocular rivalry [45], with evidence of these dynamic networks extending from early visual areas to higher order areas of the parietal and frontal lobe.
However, there may be other possibilities like feedbacks from higher order areas including the hippocampus.
This differentiation between early visual and higher order areas is orthogonal to the current question of eccentricity-based connectivity patterns.
As repeatedly discussed in the literature, classification criteria are not always clear, and especially, connections between higher order areas can be hard to classify with the available criteria.
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