Cortical Networks for Visual Reaching: Physiological and Anatomical Organization of Frontal and Parietal Lobe Arm Regions |
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Authors: | Johnson, Paul B. Ferraina, Stefano Bianchi, Luigi Caminiti, Roberto |
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Abstract: | The functional and structural properties of the dorsolateralfrontal lobe and posterior parietal proximal arm representationswere studied in macaque monkeys. Physiological mapping of primarymotor (MI), dorsal premotor (PMd), and posterior parietal (area5) cortices was performed in behaving monkeys trained in aninstructed-delay reaching task. The parietofrontal corticocorticatconnectivities of these same areas were subsequently examinedanatomically by means of retrograde tracing techniques. Signal-, set-, movement-, and position-related directional neuronalactivities were distributed nonuniformly within the task-relatedareas in both frontal and parietal cortices. Within the frontallobe, moving caudally from PMd to the MI, the activity thatsignals for the visuospatial events leading to target localizationdecreased, while the activity more directly linked to movementgeneration increased. Physiological recordings in the superior parietal lobule revealeda gradient-like distribution of functional properties similarto that observed in the frontal lobe. Signal- and set-relatedactivities were encountered more frequently in the intermediateand ventral part of the medial bank of the intraparietal sulcus(IPS), in area MIP. Movement- and position-related activitieswere distributed more uniformly within the superior parietallobule (SPL), in both dorsal area 5 and in MIP. Frontal and parietal regions sharing similar functional propertieswere preferentially connected through their association pathways.As a result of this study, area MIP, and possibly areas MDPand 7m as well, emerge as the parietal nodes by which visualinformation may be relayed to the frontal lobe arm region. Theseparietal and frontal areas, along with their association connections,represent a potential cortical network for visual reaching.The architecture of this network is ideal for coding reachingas the result of a combination between visual and somatic information. |
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