Literature DB >> 22072511

Spiking and LFP activity in PRR during symbolically instructed reaches.

Eun Jung Hwang1, Richard A Andersen.   

Abstract

The spiking activity in the parietal reach region (PRR) represents the spatial goal of an impending reach when the reach is directed toward or away from a visual object. The local field potentials (LFPs) in this region also represent the reach goal when the reach is directed to a visual object. Thus PRR is a candidate area for reading out a patient's intended reach goals for neural prosthetic applications. For natural behaviors, reach goals are not always based on the location of a visual object, e.g., playing the piano following sheet music or moving following verbal directions. So far it has not been directly tested whether and how PRR represents reach goals in such cognitive, nonlocational conditions, and knowing the encoding properties in various task conditions would help in designing a reach goal decoder for prosthetic applications. To address this issue, we examined the macaque PRR under two reach conditions: reach goal determined by the stimulus location (direct) or shape (symbolic). For the same goal, the spiking activity near reach onset was indistinguishable between the two tasks, and thus a reach goal decoder trained with spiking activity in one task performed perfectly in the other. In contrast, the LFP activity at 20-40 Hz showed small but significantly enhanced reach goal tuning in the symbolic task, but its spatial preference remained the same. Consequently, a decoder trained with LFP activity performed worse in the other task than in the same task. These results suggest that LFP decoders in PRR should take into account the task context (e.g., locational vs. nonlocational) to be accurate, while spike decoders can robustly provide reach goal information regardless of the task context in various prosthetic applications.

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Year:  2011        PMID: 22072511      PMCID: PMC3289477          DOI: 10.1152/jn.00063.2011

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  37 in total

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5.  Target selection signals for arm reaching in the posterior parietal cortex.

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Journal:  J Neurosci       Date:  2007-02-21       Impact factor: 6.167

6.  Vector reconstruction from firing rates.

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7.  Effects of visual stimulation on LFPs, spikes, and LFP-spike relations in PRR.

Authors:  Eun Jung Hwang; Richard A Andersen
Journal:  J Neurophysiol       Date:  2011-02-09       Impact factor: 2.714

8.  Statistical assessment of the stability of neural movement representations.

Authors:  Ian H Stevenson; Anil Cherian; Brian M London; Nicholas A Sachs; Eric Lindberg; Jacob Reimer; Marc W Slutzky; Nicholas G Hatsopoulos; Lee E Miller; Konrad P Kording
Journal:  J Neurophysiol       Date:  2011-05-25       Impact factor: 2.714

9.  A high-performance brain-computer interface.

Authors:  Gopal Santhanam; Stephen I Ryu; Byron M Yu; Afsheen Afshar; Krishna V Shenoy
Journal:  Nature       Date:  2006-07-13       Impact factor: 49.962

10.  Stimulus selectivity and spatial coherence of gamma components of the local field potential.

Authors:  Xiaoxuan Jia; Matthew A Smith; Adam Kohn
Journal:  J Neurosci       Date:  2011-06-22       Impact factor: 6.167

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  12 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.  Neuronal responses to target onset in oculomotor and somatomotor parietal circuits differ markedly in a choice task.

Authors:  J Kubanek; C Wang; L H Snyder
Journal:  J Neurophysiol       Date:  2013-08-21       Impact factor: 2.714

3.  Informative features of local field potential signals in primary visual cortex during natural image stimulation.

Authors:  Mojtaba Seyedhosseini; S Shushruth; Tyler Davis; Jennifer M Ichida; Paul A House; Bradley Greger; Alessandra Angelucci; Tolga Tasdizen
Journal:  J Neurophysiol       Date:  2014-12-10       Impact factor: 2.714

4.  Volitional control of neural activity relies on the natural motor repertoire.

Authors:  Eun Jung Hwang; Paul M Bailey; Richard A Andersen
Journal:  Curr Biol       Date:  2013-02-14       Impact factor: 10.834

5.  The utility of multichannel local field potentials for brain-machine interfaces.

Authors:  Eun Jung Hwang; Richard A Andersen
Journal:  J Neural Eng       Date:  2013-06-07       Impact factor: 5.379

6.  Inactivation of the parietal reach region causes optic ataxia, impairing reaches but not saccades.

Authors:  Eun Jung Hwang; Markus Hauschild; Melanie Wilke; Richard A Andersen
Journal:  Neuron       Date:  2012-12-06       Impact factor: 17.173

7.  A cognitive neuroprosthetic that uses cortical stimulation for somatosensory feedback.

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Review 8.  Toward more versatile and intuitive cortical brain-machine interfaces.

Authors:  Richard A Andersen; Spencer Kellis; Christian Klaes; Tyson Aflalo
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Review 9.  Cognitive-motor brain-machine interfaces.

Authors:  Ariel Tankus; Itzhak Fried; Shy Shoham
Journal:  J Physiol Paris       Date:  2013-06-15

10.  Neural correlates and neural computations in posterior parietal cortex during perceptual decision-making.

Authors:  Alexander C Huk; Miriam L R Meister
Journal:  Front Integr Neurosci       Date:  2012-10-10
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