Neural coding of action in three dimensions: Task‐ and time‐invariant reference frames for visuospatial and motor‐related activity in parietal area V6A

Hadjidimitrakis, Kostas; Ghodrati, Masoud; Breveglieri, Rossella; Rosa, Marcello G. P.; Fattori, Patrizia

doi:10.1002/cne.24889

Cited by 12 publications

(6 citation statements)

References 61 publications

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“…Similar results were recently found in V6A using a decoding analysis; the authors reported an evolution of visuo-to-motor coding during the execution of reaching and grasping (Filippini et al, 2017(Filippini et al, ,2018. Moreover, the stability of the correlations found in most epochs is reminiscent of the stability of a mixed body/hand reference frame found in V6A (Hadjidimitrakis et al, 2020;Piserchia et al, 2017). Dynamic processing in PPC is controversial with some works reporting stationary or not-stationary encoding of information (Astrand et al, 2015;Crowe et al, 2010;Meyers et al, 2008).…”

Section: A Dynamic Representation Of Visuospatial Informationsupporting

confidence: 78%

Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching

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Filippini

et al. 2020

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Summary The activity of neurons of the medial posterior parietal area V6A in macaque monkeys is modulated by many aspects of reach task. In the past, research was mostly focused on modulating the effect of single parameters upon the activity of V6A cells. Here, we used Generalized Linear Models (GLMs) to simultaneously test the contribution of several factors upon V6A cells during a fix-to-reach task. This approach resulted in the definition of a representative “functional fingerprint” for each neuron. We first studied how the features are distributed in the population. Our analysis highlighted the virtual absence of units strictly selective for only one factor and revealed that most cells are characterized by “mixed selectivity.” Then, exploiting our GLM framework, we investigated the dynamics of spatial parameters encoded within V6A. We found that the tuning is not static, but changed along the trial, indicating the sequential occurrence of visuospatial transformations helpful to guide arm movement.

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Section: A Dynamic Representation Of Visuospatial Informationsupporting

confidence: 78%

Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching

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Filippini

et al. 2020

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“…This suggests that hV6A encodes the target of reaching in both retinotopic (farther than the gaze) and spatial (far from the body) frames of references. Alternatively, it could be that hV6A is involved in the remapping of visual target information from a retinotopic to a hand-centered reference frame, a process that may occur during the reaction time, as also suggested by a recent paper (Hadjidimitrakis et al 2020). All these views are well in agreement with the presence in monkey V6A of neurons with visual receptive fields in retinal, spatial, and in mixed retinal-spatial coordinates (Galletti et al 1993(Galletti et al , 1995Marzocchi et al 2008;Bosco et al 2016) (Bosco et al 2015) (Hadjidimitrakis et al 2020).…”

Section: Effect Of Tms On Peripheral and Foveal Reachingsupporting

confidence: 70%

Transcranial Magnetic Stimulation Over the Human Medial Posterior Parietal Cortex Disrupts Depth Encoding During Reach Planning

et al. 2020

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Accumulating evidence supports the view that the medial part of the posterior parietal cortex (mPPC) is involved in the planning of reaching, but while plenty of studies investigated reaching performed toward different directions, only a few studied different depths. Here, we investigated the causal role of mPPC (putatively, human area V6A–hV6A) in encoding depth and direction of reaching. Specifically, we applied single-pulse transcranial magnetic stimulation (TMS) over the left hV6A at different time points while 15 participants were planning immediate, visually guided reaching by using different eye-hand configurations. We found that TMS delivered over hV6A 200 ms after the Go signal affected the encoding of the depth of reaching by decreasing the accuracy of movements toward targets located farther with respect to the gazed position, but only when they were also far from the body. The effectiveness of both retinotopic (farther with respect to the gaze) and spatial position (far from the body) is in agreement with the presence in the monkey V6A of neurons employing either retinotopic, spatial, or mixed reference frames during reach plan. This work provides the first causal evidence of the critical role of hV6A in the planning of visually guided reaching movements in depth.

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“…The available evidence strongly indicates that the monkey parietal area PEc plays a crucial role in the integration of signals defining the location of the goal in terms of distance (Hadjidimitrakis et al 2015) for locomotor action planning, and related to optic flow (Raffi et al 2011) for obstacles avoidance. Area PEc is a visuo-somatosensory area located in the crown of the hemispheres between area PE, which is mainly somatosensory (De Vitis et al 2019), and areas V6Ad and V6Av, which are mainly visual (Gamberini et al 2020;Hadjidimitrakis et al 2020). It exhibits a somatotopic organization that has a clear leg, in addition to arm, representation (Gamberini et al 2020).…”

Section: Multisensory Environmental Affordances For Locomotor Actionsmentioning

confidence: 99%

Parietal maps of visual signals for bodily action planning

2021

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The posterior parietal cortex (PPC) has long been understood as a high-level integrative station for computing motor commands for the body based on sensory (i.e., mostly tactile and visual) input from the outside world. In the last decade, accumulating evidence has shown that the parietal areas not only extract the pragmatic features of manipulable objects, but also subserve sensorimotor processing of others’ actions. A paradigmatic case is that of the anterior intraparietal area (AIP), which encodes the identity of observed manipulative actions that afford potential motor actions the observer could perform in response to them. On these bases, we propose an AIP manipulative action-based template of the general planning functions of the PPC and review existing evidence supporting the extension of this model to other PPC regions and to a wider set of actions: defensive and locomotor actions. In our model, a hallmark of PPC functioning is the processing of information about the physical and social world to encode potential bodily actions appropriate for the current context. We further extend the model to actions performed with man-made objects (e.g., tools) and artifacts, because they become integral parts of the subject’s body schema and motor repertoire. Finally, we conclude that existing evidence supports a generally conserved neural circuitry that transforms integrated sensory signals into the variety of bodily actions that primates are capable of preparing and performing to interact with their physical and social world.

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Neural coding of action in three dimensions: Task‐ and time‐invariant reference frames for visuospatial and motor‐related activity in parietal area V6A

Cited by 12 publications

References 61 publications

Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching

Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching

Transcranial Magnetic Stimulation Over the Human Medial Posterior Parietal Cortex Disrupts Depth Encoding During Reach Planning

Parietal maps of visual signals for bodily action planning

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