Input from the Cerebellum and Motor Cortical Areas to the Parietal Association Cortex

Author(s):  
S. Kakei ◽  
T. Wannier ◽  
Y. Shinoda
2021 ◽  
pp. 372-419
Author(s):  
Richard E. Passingham

This chapter and the next one consider how to account for the astonishing difference in intelligence between humans and our nearest living ancestors, the great apes. An integrated system that includes the dorsal prefrontal cortex and the parietal association cortex is activated when subjects attempt tests of non-verbal intelligence. It has been suggested that this system might act as a ‘multiple-demand system’ or ‘global workspace’ that can deal with any problem. However, closer examination suggests that the tasks used to support this claim have in common that they involve abstract sequences. These problems can be solved by visual imagery alone. But humans also have the advantage that they also have access to a propositional code. This means that they can solve problems that involve verbal reasoning, as well as being able to form detailed plans for the future. They can also form explicit judgements about themselves, including their perceptions, actions, and memories, and this means that they can represent themselves as individuals. The representation of the self depends in part on tissue in the medial prefrontal cortex (PF).


2015 ◽  
Vol 11 (7S_Part_6) ◽  
pp. P266-P267
Author(s):  
Bernard J. Hanseeuw ◽  
Aaron P. Schultz ◽  
Jorge Sepulcre ◽  
Reisa A. Sperling ◽  
Keith A. Johnson

1994 ◽  
Vol 36 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Philippe Remy ◽  
Monica Zilbovicius ◽  
Anne Leroy-Willig ◽  
Andr� Syrota ◽  
Yves Samson

2003 ◽  
Vol 89 (3) ◽  
pp. 1402-1413 ◽  
Author(s):  
Youssouf Cissé ◽  
François Grenier ◽  
Igor Timofeev ◽  
Mircea Steriade

Intracellular recordings from association cortical areas 5 and 7 were performed in cats under barbiturate or ketamine-xylazine anesthesia to investigate the activities of different classes of neurons involved in callosal pathways, which were electrophysiologically characterized by depolarizing current steps. Excitatory postsynaptic potentials (EPSPs), inhibitory postsynaptic potentials (IPSPs), and/or antidromic responses were elicited by stimulating homotopic sites in the contralateral cortical areas. Differential features of EPSPs related to latencies, amplitudes, and slopes were detected in closely located (50 μm or less) neurons recorded in succession along the same electrode track. In contrast to synchronous thalamocortical volleys that excited most neurons within a cortical column, stimuli applied to homotopic sites in the contralateral cortex activated neurons at restricted cortical depths. Median latencies of callosally evoked EPSPs were 1.5 to 4 ms in various cortical cell-classes. Fast-rhythmic-bursting neurons displayed EPSPs whose amplitudes were threefold larger, and latencies two- or threefold shorter, than those found in the three other cellular classes. Converging callosal and thalamic inputs were recorded in the same cortical neuron. EPSPs or IPSPs were elicited by stimulating foci spaced by <1 mm in the contralateral cortex. In the overwhelming majority of neurons, latencies of antidromic responses were between 1.2 and 3.1 ms; however, some callosal neurons had much longer latencies, ≤18.5 ms. Some neurons were excited monosynaptically through the callosal pathway and identified antidromically from appropriate thalamic nuclei, thus revealing a callosal-corticothalamic pathway. Data are discussed in relation to the commissural spread of fast and slow normal oscillations as well as paroxysmal activities.


2020 ◽  
Vol 30 (10) ◽  
pp. 5460-5470 ◽  
Author(s):  
Na Luo ◽  
Jing Sui ◽  
Anees Abrol ◽  
Jiayu Chen ◽  
Jessica A Turner ◽  
...  

Abstract Brain structural networks have been shown to consistently organize in functionally meaningful architectures covering the entire brain. However, to what extent brain structural architectures match the intrinsic functional networks in different functional domains remains under explored. In this study, based on independent component analysis, we revealed 45 pairs of structural-functional (S-F) component maps, distributing across nine functional domains, in both a discovery cohort (n = 6005) and a replication cohort (UK Biobank, n = 9214), providing a well-match multimodal spatial map template for public use. Further network module analysis suggested that unimodal cortical areas (e.g., somatomotor and visual networks) indicate higher S-F coherence, while heteromodal association cortices, especially the frontoparietal network (FPN), exhibit more S-F divergence. Collectively, these results suggest that the expanding and maturing brain association cortex demonstrates a higher degree of changes compared with unimodal cortex, which may lead to higher interindividual variability and lower S-F coherence.


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