Literature DB >> 17021165

Preparatory delay activity in the monkey parietal reach region predicts reach reaction times.

Lawrence H Snyder1, Anthony R Dickinson, Jeffrey L Calton.   

Abstract

To acquire something that we see, visual spatial information must ultimately result in the activation of the appropriate set of muscles. This sensory to motor transformation requires an interaction between information coding target location and information coding which effector will be moved. Activity in the monkey parietal reach region (PRR) reflects both spatial information and the effector (arm or eye) that will be used in an upcoming reach or saccade task. To further elucidate the functional role of PRR in visually guided movement tasks and to obtain evidence that PRR signals are used to drive arm movements, we tested the hypothesis that increased neuronal activity during a preparatory delay period would lead to faster reach reaction times but would not be correlated with saccade reaction times. This proved to be the case only when the type of movement and not the spatial goal of that movement was known in advance. The correlation was strongest in cells that showed significantly more activity on arm reach compared with saccade trials. No significant correlations were found during delay periods in which spatial information was provided in advance. These data support the idea that PRR constitutes a bottleneck in the processing of spatial information for an upcoming arm reach. The lack of a correlation with saccadic reaction time also supports the idea that PRR processing is effector specific, that is, it is involved in specifying targets for arm movements but not targets for eye movements.

Mesh:

Year:  2006        PMID: 17021165      PMCID: PMC6674626          DOI: 10.1523/JNEUROSCI.0513-06.2006

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  55 in total

1.  Neuronal correlates for preparatory set associated with pro-saccades and anti-saccades in the primate frontal eye field.

Authors:  S Everling; D P Munoz
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

2.  Role of primate superior colliculus in preparation and execution of anti-saccades and pro-saccades.

Authors:  S Everling; M C Dorris; R M Klein; D P Munoz
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

3.  Prior information in motor and premotor cortex: activity during the delay period and effect on pre-movement activity.

Authors:  D J Crammond; J F Kalaska
Journal:  J Neurophysiol       Date:  2000-08       Impact factor: 2.714

4.  Neuronal responses in area 7a to multiple-stimulus displays: I. neurons encode the location of the salient stimulus.

Authors:  C Constantinidis; M A Steinmetz
Journal:  Cereb Cortex       Date:  2001-07       Impact factor: 5.357

5.  Distribution of eye- and arm-movement-related neuronal activity in the SEF and in the SMA and Pre-SMA of monkeys.

Authors:  Naotaka Fujii; Hajime Mushiake; Jun Tanji
Journal:  J Neurophysiol       Date:  2002-04       Impact factor: 2.714

6.  Eye-hand coordination: saccades are faster when accompanied by a coordinated arm movement.

Authors:  Lawrence H Snyder; Jeffrey L Calton; Anthony R Dickinson; Bonnie M Lawrence
Journal:  J Neurophysiol       Date:  2002-05       Impact factor: 2.714

Review 7.  Control of goal-directed and stimulus-driven attention in the brain.

Authors:  Maurizio Corbetta; Gordon L Shulman
Journal:  Nat Rev Neurosci       Date:  2002-03       Impact factor: 34.870

8.  Non-spatial, motor-specific activation in posterior parietal cortex.

Authors:  Jeffrey L Calton; Anthony R Dickinson; Lawrence H Snyder
Journal:  Nat Neurosci       Date:  2002-06       Impact factor: 24.884

9.  Differential involvement of parietal and precentral regions in movement preparation and motor intention.

Authors:  Daniel Thoenissen; Karl Zilles; Ivan Toni
Journal:  J Neurosci       Date:  2002-10-15       Impact factor: 6.167

10.  Human fMRI evidence for the neural correlates of preparatory set.

Authors:  Jason D Connolly; Melvyn A Goodale; Ravi S Menon; Douglas P Munoz
Journal:  Nat Neurosci       Date:  2002-12       Impact factor: 24.884

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  27 in total

1.  The representations of reach endpoints in posterior parietal cortex depend on which hand does the reaching.

Authors:  Steve W C Chang; Lawrence H Snyder
Journal:  J Neurophysiol       Date:  2012-02-01       Impact factor: 2.714

2.  Neural representation during visually guided reaching in macaque posterior parietal cortex.

Authors:  Barbara Heider; Anushree Karnik; Nirmala Ramalingam; Ralph M Siegel
Journal:  J Neurophysiol       Date:  2010-09-15       Impact factor: 2.714

3.  Overlapping representations for reach depth and direction in caudal superior parietal lobule of macaques.

Authors:  Kostas Hadjidimitrakis; Giulia Dal Bo'; Rossella Breveglieri; Claudio Galletti; Patrizia Fattori
Journal:  J Neurophysiol       Date:  2015-08-12       Impact factor: 2.714

4.  Reward Size Informs Repeat-Switch Decisions and Strongly Modulates the Activity of Neurons in Parietal Cortex.

Authors:  Jan Kubanek; Lawrence H Snyder
Journal:  Cereb Cortex       Date:  2017-01-01       Impact factor: 5.357

Review 5.  Volitional control of movement: the physiology of free will.

Authors:  Mark Hallett
Journal:  Clin Neurophysiol       Date:  2007-04-26       Impact factor: 3.708

6.  Gamma synchrony predicts neuron-neuron correlations and correlations with motor behavior in extrastriate visual area MT.

Authors:  Joonyeol Lee; Stephen G Lisberger
Journal:  J Neurosci       Date:  2013-12-11       Impact factor: 6.167

7.  Changes in the response rate and response variability of area V4 neurons during the preparation of saccadic eye movements.

Authors:  Nicholas A Steinmetz; Tirin Moore
Journal:  J Neurophysiol       Date:  2009-12-16       Impact factor: 2.714

8.  Limb-specific representation for reaching in the posterior parietal cortex.

Authors:  Steve W C Chang; Anthony R Dickinson; Lawrence H Snyder
Journal:  J Neurosci       Date:  2008-06-11       Impact factor: 6.167

9.  Done in 100 ms: path-dependent visuomotor transformation in the human upper limb.

Authors:  Chao Gu; J Andrew Pruszynski; Paul L Gribble; Brian D Corneil
Journal:  J Neurophysiol       Date:  2017-12-06       Impact factor: 2.714

10.  Using a compound gain field to compute a reach plan.

Authors:  Steve W C Chang; Charalampos Papadimitriou; Lawrence H Snyder
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

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