Cortical Mechanisms for Online Control of Hand Movement Trajectory: The Role of the Posterior Parietal Cortex

Archambault, P.; Caminiti, Roberto; Battaglia-Mayer, Alexandra

doi:10.1093/cercor/bhp058

Cited by 87 publications

(107 citation statements)

References 39 publications

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“…Previous studies on motor (Georgopoulos et al, 1983) and parietal (Archambault et al, 2009) cortex based on a double-step task similar to the one presented here have shown that cells in these areas change their activity pattern in such a way that neural modulation after the target jump and during hand movement to the second target is qualitatively similar to that observed when the hand makes a single movement from the center to the second target. This observation was used in our study as a starting point to perform additional quantitative analyses.…”

Section: Reconstruction Of Neural Activity Patterns Of Corrected Reacsupporting

confidence: 67%

“…The classification was based on the use of modulation indices obtained across different tasks and epochs, as well as on bootstrapping procedures (Archambault et al, 2009). See supplemental material (available at www.jneurosci.org) for details.…”

Section: Cell Classificationmentioning

confidence: 99%

“…We performed a linear regression of each cell's activity recorded during MT of the reaching task with the corresponding hand kinematics [for details, see Moran and Schwartz (1999) and Archambault et al (2009)]. The following linear regression model was used:…”

Section: Linear Regression Of Cell Activitymentioning

confidence: 99%

“…The frontal and parietal areas where the microelectrode penetrations were made are superimposed on a single representation of the brain in Figure 1 H. The parietal data (Archambault et al, 2009) were obtained from 250 cells studied in the superior parietal lobule (area 5, PE/PEc) (Fig. 1 H).…”

Section: Neural Datamentioning

confidence: 99%

“…In the literature, only two cell recording studies have addressed the question of online control of hand movement trajectory, the first related to motor cortex (M1) (Georgopoulos et al, 1983) and the second to posterior parietal cortex (PPC/area 5) (Archambault et al, 2009). Nothing is known about the role of the dorsal premotor (PMd) cortex, which is an anatomical interface between PPC and M1 (Johnson et al, 1996;Matelli et al, 1998;Marconi et al, 2001), for online movement control.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Online Control of Hand Trajectory and Evolution of Motor Intention in the Parietofrontal System

Archambault¹,

Ferrari-Toniolo²,

Battaglia-Mayer³

2011

J. Neurosci.

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The frontal mechanisms of motor intention were studied in dorsal premotor and motor cortex of monkeys making direct reaches to visual targets and online corrections of hand trajectory, whenever a change of the target's location occurred. This study and our previous one of parietal cortex (Archambault et al., 2009) provide a picture on the evolution of motor intention and online control of movement in the parietofrontal system. In frontal cortex, significant relationships were found between neural activity and hand kinematics (position, speed, and movement direction). When a change of motor intention occurred, the activity typical of the movement to the first target smoothly evolved into that associated with the movement toward the second one, as observed during direct reaches. Under these conditions, parietal cells remained a more accurate predictor of hand trajectory than frontal ones. The time lags of neural activity with hand kinematics showed that motor, premotor, and parietal cortex were activated sequentially. After the first target's presentation and its change of location, the population activity signaled the change of motor plan before the hand moved to the initial target's position. This signaling occurred earlier in premotor than in motor and parietal cortex. Thus, premotor cortex encodes a higher-order command for the correction of motor intention, while parietal cortex seems responsible for estimating the kinematics of the motor periphery, an essential step to allow motor cortex to modify the hand trajectory. This indicates that the parietofrontal system can update an original and not-yet-accomplished motor plan during its execution.

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Section: Reconstruction Of Neural Activity Patterns Of Corrected Reacsupporting

confidence: 67%

Section: Cell Classificationmentioning

confidence: 99%

Section: Linear Regression Of Cell Activitymentioning

confidence: 99%

Section: Neural Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Online Control of Hand Trajectory and Evolution of Motor Intention in the Parietofrontal System

Archambault¹,

Ferrari-Toniolo²,

Battaglia-Mayer³

2011

J. Neurosci.

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Spatially dynamic recurrent information flow across long‐range dorsal motor network encodes selective motor goals

Yoo

Hagan

John

et al. 2018

Human Brain Mapping

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Performing voluntary movements involves many regions of the brain, but it is unknown how they work together to plan and execute specific movements. We recorded high-resolution ultra-high-field blood-oxygen-level-dependent signal during a cued ankle-dorsiflexion task. The spatiotemporal dynamics and the patterns of task-relevant information flow across the dorsal motor network were investigated. We show that task-relevant information appears and decays earlier in the higher order areas of the dorsal motor network then in the primary motor cortex. Furthermore, the results show that task-relevant information is encoded in general initially, and then selective goals are subsequently encoded in specifics subregions across the network. Importantly, the patterns of recurrent information flow across the network vary across different subregions depending on the goal. Recurrent information flow was observed across all higher order areas of the dorsal motor network in the subregions encoding for the current goal. In contrast, only the top-down information flow from the supplementary motor cortex to the frontoparietal regions, with weakened recurrent information flow between the frontoparietal regions and bottom-up information flow from the frontoparietal regions to the supplementary cortex were observed in the subregions encoding for the opposing goal. We conclude that selective motor goal encoding and execution rely on goal-dependent differences in subregional recurrent information flow patterns across the long-range dorsal motor network areas that exhibit graded functional specialization.

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Multitasking During Continuous Task Demands: The Cognitive Costs of Concurrent Sensorimotor Activities

Johannsen

Humbeeck²,

Krampe³

2022

Handbook of Human Multitasking

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Cortical Mechanisms for Online Control of Hand Movement Trajectory: The Role of the Posterior Parietal Cortex

Cited by 87 publications

References 39 publications

Online Control of Hand Trajectory and Evolution of Motor Intention in the Parietofrontal System

Online Control of Hand Trajectory and Evolution of Motor Intention in the Parietofrontal System

Spatially dynamic recurrent information flow across long‐range dorsal motor network encodes selective motor goals

Multitasking During Continuous Task Demands: The Cognitive Costs of Concurrent Sensorimotor Activities

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