Corticocortical Systems Underlying High-Order Motor Control

• Published in: The Journal of neuroscience Vol. 39; no. 23; pp. 4404 - 4421
• Main Authors: Battaglia-Mayer, Alexandra, Caminiti, Roberto
• Format: Journal Article
• Language: English
• Published: United States Society for Neuroscience 05.06.2019
• Subjects: Animals; Attention - physiology; Axons; Brain Mapping; Cognitive ability; Conduction; Connectome; Diffusion Tensor Imaging; Frontal Lobe - physiology; Integrated circuits; Intention; Learning - physiology; Lesions; Magnetic resonance imaging; Motor Activity - physiology; Motor Cortex - physiology; Motor Skills - physiology; Motor task performance; Movement - physiology; Nerve Net - physiology; Networks; Neural Conduction; Neural networks; Outflow; Parietal Lobe - physiology; Primates; Primates - physiology; Psychomotor Performance - physiology; Reciprocity; Rodentia - physiology; Spinal cord; Synaptic strength; Thalamus - physiology; Viewpoints
• ISSN: 0270-6474; 1529-2401; 1529-2401
• DOI: 10.1523/JNEUROSCI.2094-18.2019

Cortical networks are characterized by the origin, destination, and reciprocity of their connections, as well as by the diameter, conduction velocity, and synaptic efficacy of their axons. The network formed by parietal and frontal areas lies at the core of cognitive-motor control because the outflow of parietofrontal signaling is conveyed to the subcortical centers and spinal cord through different parallel pathways, whose orchestration determines, not only when and how movements will be generated, but also the nature of forthcoming actions. Despite intensive studies over the last 50 years, the role of corticocortical connections in motor control and the principles whereby selected cortical networks are recruited by different task demands remain elusive. Furthermore, the synaptic integration of different cortical signals, their modulation by transthalamic loops, and the effects of conduction delays remain challenging questions that must be tackled to understand the dynamical aspects of parietofrontal operations. In this article, we evaluate results from nonhuman primate and selected rodent experiments to offer a viewpoint on how corticocortical systems contribute to learning and producing skilled actions. Addressing this subject is not only of scientific interest but also essential for interpreting the devastating consequences for motor control of lesions at different nodes of this integrated circuit. In humans, the study of corticocortical motor networks is currently based on MRI-related methods, such as resting-state connectivity and diffusion tract-tracing, which both need to be contrasted with histological studies in nonhuman primates.