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Appropriate analysis of resting-state functional magnetic resonance imaging (rs-fMRI) allows the description of spontaneous networks of interaction known as resting-state networks (RSNs). Number of studies has revealed that the normally observed RSNs are frequently and significantly disrupted in neurological disorders. Several analysis methods have been proposed to assess functional connectivity from rs-fMRI. Assessing the functional connectivity between two brain loci can either occur at the individual voxel or the region of interest (ROI) level. The most straightforward method of analysis for functional connectivity is the seed-based or ROI-based method. Despite the extensive application of resting-state imaging modalities to brain disorders, relatively fewer studies have assessed altered connectivity in Parkinson's disease (PD). rs-fMRI studies have described RSNs not only related to motor symptoms, but also to non-motor features of PD, such as cognitive dysfunction. Apathy and depression have been assessed in PD using resting state.
The author describes “higher” and “uniquely human” sociocognitive skills that he argues as being necessary for tool use. We propose that those skills could be based on simpler detection systems humans could share with other animal tool users. More specifically, we discuss the impact of object affordances on the understanding and the social learning of tool use.
In the haptic domain, a double dissociation can be proposed on the basis of neurological deficits between tactile information for action, represented by tactile apraxia, and tactile information for perception, represented by tactile agnosia. We suggest that this dissociation comes from different networks, both involving the anterior intraparietal area of the posterior parietal cortex.
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