ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016
Modulation of Neural Variability in Premotor, Motor, and Posterior Parietal Cortex during Change of Motor Intention.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Neural variability fingerprint predicts individuals' information security violation intentions.Fundamental research · 2022Article
- Neuronal Activity in the Premotor Cortex of Monkeys Reflects Both Cue Salience and Motivation for Action Generation and Inhibition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Swallowing Pressure Variability as a Function of Pharyngeal Region, Bolus Volume, Age, and Sex.The Laryngoscope · 2021Article
- Simultaneous motor preparation and execution in a last-moment reach correction task.Nature communications · 2019Article
- Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feeding behavior in rats.PLoS computational biology · 2019Article
- Methods for measuring swallowing pressure variability using high-resolution manometry.Frontiers in applied mathematics and statistics · 2018Article
- Neural Coding of Cell Assemblies via Spike-Timing Self-Information.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- Interpreting and Utilising Intersubject Variability in Brain Function.Trends in cognitive sciences · 2018Review
- Precursor processes of human self-initiated action.NeuroImage · 2018Article
- Neural Code-Frontiers in cellular neuroscience · 2017Article
- A Simulation Model of Neural Activity During Hand Reaching Movement.Basic and clinical neuroscienceArticle
Corrections and comments
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The time course of neural variability was studied in three nodes of the parieto-frontal system: the dorsal premotor cortex (PMd, area 6), primary motor cortex (MI, area 4), and posterior parietal cortex (PPC, area 5) while monkeys made either direct reaches to visual targets or changed reach direction in response to an unexpected change of target location. These areas are crucial nodes in the distributed control of reaching and their lesion impairs trajectory formation and correction under different circumstances. During unperturbed reaches, neural variability declined before the onset of hand movement in both frontal and parietal cortex. When the original motor intention suddenly changed, neural variability displayed a complex and area-specific modulation because the perturbation of the motor state was signaled earlier in PMd than in MI and PPC. The comparison of perturbed versus unperturbed reaches revealed that, in the time between the onset of correction signal and trajectory change, identical hand movements were associated with different, therefore context-dependent, patterns of neural variability induced by the instruction to change hand movement direction. In PMd, neural variability was higher before the initiation of hand reach than before its correction, thus providing a neural underpinning to the phenomenon that it takes less time to correct than to initiate hand movement. Furthermore, neural variability was an excellent predictor of slow and fast reach corrections because it was lower during the latter than the former. We conclude that the analysis of neural variability can be an important tool for the study of complex forms of motor cognition. SIGNIFICANCE STATEMENT: No single study has been performed on neural variability during update of motor intention across monkey premotor, motor, and posterior parietal cortex. In perturbed reaches, target location changed unexpectedly during reaction time and the correction of hand trajectory required updating the original motor plan. Comparing unperturbed versus perturbed reaches revealed that neural variability displayed a complex context- and area-dependent pattern of modulation because, before trajectory correction, similar initial hand movements were associated with different patterns of variability depending on the instruction signal, and therefore on the future hand path and final destination. Furthermore, neural variability predicted both slow and fast hand movement corrections, also offering a neural underpinning to the phenomenon that it takes less time to correct than to initiate hand movement.
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