Manipulation reach and visual reach neurons in the inferior parietal lobule of the rhesus monkey

Neural representation during visually guided reaching in macaque posterior parietal cortex

Visually guided hand movements in primates require an interconnected network of various cortical areas. Single unit firing rate from area 7a and dorsal prelunate (DP) neurons of macaque posterior parietal cortex (PPC) was recorded during reaching movements to targets at variable locations and under different eye position conditions. In the eye position-varied task, the reach target was always foveated; thus eye position varied with reach target location. In the retinal-varied task, the monkey reached to targets at variable retinotopic locations while eye position was kept constant in the center. Spatial tuning was examined with respect to temporal (task epoch) and contextual (task condition) aspects, and response fields were compared. The analysis showed distinct tuning types. The majority of neurons changed their gain field tuning and retinotopic tuning between different phases of the task. Between the onset of visual stimulation and the preparatory phase (before the go signal), about one half the neurons altered their firing rate significantly. Spatial response fields during preparation and initiation epochs were strongly influenced by the task condition (eye position varied vs. retinal varied), supporting a strong role of eye position during visually guided reaching. DP neurons, classically considered visual, showed reach related modulation similar to 7a neurons. This study shows that both area 7a and DP are modulated during reaching behavior in primates. The various tuning types in both areas suggest distinct populations recruiting different circuits during visually guided reaching.

A virtual reality-based system integrated with fmri to study neural mechanisms of action observation-execution: a proof of concept study

PURPOSE

Emerging evidence shows that interactive virtual environments (VEs) may be a promising tool for studying sensorimotor processes and for rehabilitation. However, the potential of VEs to recruit action observation-execution neural networks is largely unknown. For the first time, a functional MRI-compatible virtual reality system (VR) has been developed to provide a window into studying brain-behavior interactions. This system is capable of measuring the complex span of hand-finger movements and simultaneously streaming this kinematic data to control the motion of representations of human hands in virtual reality.

METHODS

In a blocked fMRI design, thirteen healthy subjects observed, with the intent to imitate (OTI), finger sequences performed by the virtual hand avatar seen in 1st person perspective and animated by pre-recorded kinematic data. Following this, subjects imitated the observed sequence while viewing the virtual hand avatar animated by their own movement in real-time. These blocks were interleaved with rest periods during which subjects viewed static virtual hand avatars and control trials in which the avatars were replaced with moving non-anthropomorphic objects.

RESULTS

We show three main findings. First, both observation with intent to imitate and imitation with real-time virtual avatar feedback, were associated with activation in a distributed frontoparietal network typically recruited for observation and execution of real-world actions. Second, we noted a time-variant increase in activation in the left insular cortex for observation with intent to imitate actions performed by the virtual avatar. Third, imitation with virtual avatar feedback (relative to the control condition) was associated with a localized recruitment of the angular gyrus, precuneus, and extrastriate body area, regions which are (along with insular cortex) associated with the sense of agency.

CONCLUSIONS

Our data suggest that the virtual hand avatars may have served as disembodied training tools in the observation condition and as embodied "extensions" of the subject's own body (pseudo-tools) in the imitation. These data advance our understanding of the brain-behavior interactions when performing actions in VE and have implications in the development of observation- and imitation-based VR rehabilitation paradigms.

Temporal Evolution and Strength of Neural Activity in Parietal Cortex during Eye and Hand Movements

The role of area 7a in eye-hand movement was studied by recording from individual neurons while monkeys performed 7 different tasks, aimed at assessing the relative influence of retinal, eye, and hand information on neural activity. Parietal cell activity was modulated by visuospatial signals about target location, as well as by information concerning eye and/or hand movement, and position. The highest activity was elicited when the hand moved to the fixation point. The population activities across different memory tasks showed common temporal peaks when aligned to the visual instruction (visuospatial peak) or Go signal (motor peak) for eye, hand, and coordinated eye-hand movement. The motor peak was higher for coordinated eye-hand movement, and it was absent in a No-Go task. Two activation maxima were also observed during visual reaching. They had the same latency of the visuospatial and motor peaks seen in the memory tasks. Therefore, area 7a seems to operate through a common neural mechanism underlying eye, hand, or combined eye-hand movement. This mechanism is revealed by invariant temporal activity profiles and is independent from the effector selected and from the presence or absence of a visible target during movement. For comparative purposes, we have studied the temporal evolution of the population activity in the superior parietal lobule (SPL) during the same reaching tasks and during a saccade task. In SPL, the population activity was characterized by a single peak, time locked to the Go signal for eye, hand, or combined eye-hand movement. As in IPL, the time of occurrence of this peak was effector independent. The population activity remained unchanged when the position of the eye changed, suggesting that SPL is mostly devoted to the hand motor behavior.

Architectonic organization of the inferior parietal convexity of the macaque monkey

The inferior parietal lobule (IPL) of the macaque monkey constitutes the largest part of Brodmann's area 7. Functional, connectional, and architectonic data have indicated that area 7 is comprised of several distinct sectors located in the lateral bank of the intraparietal sulcus and on the IPL cortical convexity. To date, however, attempts to parcellate the IPL based on architectonic criteria have been controversial, and correlation between anatomical and functional data has been inadequate. In the present study we aimed to determine the number and extent of cytoarchitectonically distinct areas occupying the IPL convexity. To this end, we studied the cytoarchitecture and myeloarchitecture of this region in 28 hemispheres of 17 macaque monkeys. Four distinct areas were identified at different rostrocaudal levels along the IPL convexity and were defined as PF, PFG, PG, and Opt, with area PF corresponding to the rostralmost area and area Opt to the caudalmost one. All areas extend dorsally up to the lateral bank of the intraparietal sulcus, for about 1-2 mm. Areas PF, PFG, and PG border ventrally on opercular areas, whereas area Opt extends ventrally into the dorsal bank of the superior temporal sulcus. Analysis of the distribution of SMI-32 immunoreactivity confirmed the proposed parcellation scheme. Some additional connectional data showed that the four areas project in a differential way to the premotor cortex. The present data challenge the current widely used subdivision of the IPL convexity into two areas, confirming, but also extending the subdivision originally proposed by Pandya and Seltzer.

Cortical Connections of the Inferior Parietal Cortical Convexity of the Macaque Monkey

We traced the cortical connections of the 4 cytoarchitectonic fields--Opt, PG, PFG, PF--forming the cortical convexity of the macaque inferior parietal lobule (IPL). Each of these fields displayed markedly distinct sets of connections. Although Opt and PG are both targets of dorsal visual stream and temporal visual areas, PG is also target of somatosensory and auditory areas. Primary parietal and frontal connections of Opt include area PGm and eye-related areas. In contrast, major parietal and frontal connections of PG include IPL, caudal superior parietal lobule (SPL), and agranular frontal arm-related areas. PFG is target of somatosensory areas and also of the medial superior temporal area (MST) and temporal visual areas and is connected with IPL, rostral SPL, and ventral premotor arm- and face-related areas. Finally, PF is primarily connected with somatosensory areas and with parietal and frontal face- and arm-related areas. The present data challenge the bipartite subdivision of the IPL convexity into a caudal and a rostral area (7a and 7b, respectively) and provide a new anatomical frame of reference of the macaque IPL convexity that advances our present knowledge on the functional organization of this cortical sector, giving new insight into its possible role in space perception and motor control.

Receptive field organization of disparity-sensitive cells in Macaque medial superior temporal cortex

Binocular disparities are crucial for building an accurate three-dimensional representation of the peripersonal environment in a viewer-centred frame of reference. Previous studies have shown that visual cells of the medial superior temporal cortex (MST) have large receptive fields and that they are sensitive to disparities present in large surfaces. By using a reverse cross-correlation technique in this study we tested 175 disparity-sensitive units recorded from MST in the awake Macaca mulatta monkey to determine if these large receptive fields are homogeneous in terms of disparity sensitivity. We found that the receptive fields of 50 cells (50 out of 175, 29%) showed subregions with specific disparity sensitivity. These subregions presented eccentricities from 0.8 to 22.3 degrees and their sizes varied from 1.6 to 15.3 degrees 2. This particular receptive field organization represents a suitable mechanism for encoding the location of small objects within our peripersonal space.

Visual responses to reward-related cues in inferior parietal lobule

A sample of 263 neurones was recorded in area 7a of the parietal lobe, in a monkey performing a reach task to visual targets displayed on a touch-sensitive videomonitor. The task had been operantly conditioned on food or juice rewards, and 78 (30%) of the units showed activity changes linked in some way to the reward. For most of these cells, the response was to the approach of the trainer's hand with the food reward. This specific visual response was similar irrespective of the direction of approach. Six cells increased discharge as soon as the task was completed in apparent anticipation of the reward. Another two neurones responded to missing a reward: they fired vigorously if the videoscreen was blanked in mid-trial because a target was not correctly touched. In many cases (40/78) the same cells responding to some aspect of the reward also responded to visual cues given during the task, especially the presentation of the target location. Reward-related activity in area 7a probably results from an integration of the visual and limbic inputs to this region, such that visual information which foretells behaviourally important events is emphasized.

Neuronal correlates in posterior parietal lobe of the expectation of events

During studies of response properties of single units in the posterior parietal cortex of 6 awake monkeys, 168 neurons were encountered (7.1% of examined units) which showed anticipatory types of activity. These neurons were found on either side of the intraparietal sulcus. In area 5, this expectation activity was expressed as a change in discharge rate whenever a specific body part (e.g. hand or shoulder) was approached by the investigator as though contact would be made. Invariably the neurons also responded to cutaneous and/or proprioceptive stimulation of the target body area. In area 7a the same type of response was also found but not always with a corresponding somatosensory receptive field. In addition, many neurons increased discharge rates (or rarely, decreased them) immediately prior to the expected occurrence of a reward, a visual task cue, or on hearing the approaching footsteps of a familiar person. None of these responses were correlated to eye movements, nor could they be attributed to any other body movement.