Prediction of Reach Goals in Depth and Direction from the Parietal Cortex

Filippini, Matteo; Breveglieri, Rossella; Hadjidimitrakis, Kostas; Bosco, Annalisa; Fattori, Patrizia

doi:10.1016/j.celrep.2018.03.090

Cited by 26 publications

(44 citation statements)

References 44 publications

(76 reference statements)

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“…The results therefore support a switch from a visual code to a more motor-related one or, alternatively, the superimposition of motor-related and proprioceptive information with previous underlying visual-related inputs. 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 , 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 ).…”

Section: Discussionsupporting

confidence: 86%

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

Diomedi

Filippini

et al. 2020

iScience

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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: Discussionsupporting

confidence: 86%

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

Diomedi

Filippini

et al. 2020

iScience

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“…It is worthwhile to notice that we used the entire recorded populations without any preselection. In this way, we were able to reproduce the same sampling criteria that would fit with prosthetic applications, where task-related and unrelated neurons are used 24–26 .…”

Section: Discussionmentioning

confidence: 99%

“…Although, at present, a comparative study on the relative weight of the parameters of prehension in the different areas of the medial PPC is still lacking, it seems that PRR and PEc are involed in encoding spatial parameters for reaching and AIP in the encoding of object-oriented pragmatic actions, with V6A well suited to coordinate arm movements and grasping 19 . Decoding approaches showed that V6A can be a good source for decoding directional signals for reaching 24 and recently neural signals from V6A have been shown to be suitable for decoding hand shaping useful to implement brain machine interfaces to optimally guide prehensile actions 52 . The dimension reduction performed in the present study represents a general frame of the functional properties of the medial posterior parietal cortex that may be essential for improving computational efficiency in handling massive amounts of neural data for application in neuroprosthetics 53,54 .…”

Section: Discussionmentioning

confidence: 99%

Reduced neural representation of arm/hand actions in the medial posterior parietal cortex

Bosco

Breveglieri

Filippini

et al. 2019

Sci Rep

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Several investigations at a single-cell level demonstrated that the medial posterior parietal area V6A is involved in encoding reaching and grasping actions in different visual conditions. Here, we looked for a “low-dimensional” representation of these encoding processes by studying macaque V6A neurons tested in three different tasks with a dimensionality reduction technique, the demixed principal component analysis (dPCA), which is very suitable for neuroprosthetics readout. We compared neural activity in reaching and grasping tasks by highlighting the portions of population variance involved in the encoding of visual information, target position, wrist orientation and grip type. The weight of visual information and task parameters in the encoding process was dependent on the task. We found that the distribution of variance captured by visual information in the three tasks did not differ significantly among the tasks, whereas the variance captured by target position and grip type parameters were significantly higher with respect to that captured by wrist orientation regardless of the number of conditions considered in each task. These results suggest a different use of relevant information according to the type of planned and executed action. This study shows a simplified picture of encoding that describes how V6A processes relevant information for action planning and execution.

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“…Mixing of signals has also been observed at another level of movement control. The distance and direction of reach goals, which were considered to have independent neuronal substrates (Crawford et al, 2011), were encoded by largely overlapping neuronal populations in V6A and PEc (Hadjidimitrakis et al, 2014a, 2015; Filippini et al, 2018). Furthermore, PRR neurons can simultaneously encode multiple potential movement goals (Baldauf et al, 2008; Klaes et al, 2011), thus further illustrating the richness of the selectivity.…”

Section: Functional Response Properties In Individual Regions Of the mentioning

confidence: 99%

Mixed Spatial and Movement Representations in the Primate Posterior Parietal Cortex

Hadjidimitrakis

Bakola

Wong

et al. 2019

Front. Neural Circuits

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The posterior parietal cortex (PPC) of humans and non-human primates plays a key role in the sensory and motor transformations required to guide motor actions to objects of interest in the environment. Despite decades of research, the anatomical and functional organization of this region is still a matter of contention. It is generally accepted that specialized parietal subregions and their functional counterparts in the frontal cortex participate in distinct segregated networks related to eye, arm and hand movements. However, experimental evidence obtained primarily from single neuron recording studies in non-human primates has demonstrated a rich mixing of signals processed by parietal neurons, calling into question ideas for a strict functional specialization. Here, we present a brief account of this line of research together with the basic trends in the anatomical connectivity patterns of the parietal subregions. We review, the evidence related to the functional communication between subregions of the PPC and describe progress towards using parietal neuron activity in neuroprosthetic applications. Recent literature suggests a role for the PPC not as a constellation of specialized functional subdomains, but as a dynamic network of sensorimotor loci that combine multiple signals and work in concert to guide motor behavior.

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Prediction of Reach Goals in Depth and Direction from the Parietal Cortex

Cited by 26 publications

References 44 publications

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

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

Reduced neural representation of arm/hand actions in the medial posterior parietal cortex

Mixed Spatial and Movement Representations in the Primate Posterior Parietal Cortex

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