Sentence examples for higher order areas from inspiring English sources

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.

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.

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.

In fact, these decoding analyses worked best when we selected voxels both from contra- and ipsilateral stimulation (Experiment 2), implying that higher order areas within the PCG (area 2) may underlie the present decoding effects.

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).

One view claims that there can't be early responses in "higher-order" areas such as the amygdale.

The results reported here show clear evidence for early activation in "higher-order" areas, i.e. the STS, amygdale and MPFC activated well within 100 ms post-stimulus (Figure 4).

Along these lines, the early visual evoked potentials (VEPs) in associative areas in our study may not be exclusively generated by sensory activation but might also be generated by input from higher-order areas amplifying the decoding of intention relevant features.