Literature DB >> 23274645

Simultaneous reconstruction of continuous hand movements from primary motor and posterior parietal cortex.

Benjamin A Philip1, Naveen Rao, John P Donoghue.   

Abstract

Primary motor cortex (MI) and parietal area PE both participate in cortical control of reaching actions, but few studies have been able to directly compare the form of kinematic encoding in the two areas simultaneously during hand tracking movements. To directly compare kinematic coding properties in these two areas under identical behavioral conditions, we recorded simultaneously from two chronically implanted multielectrode arrays in areas MI and PE (or areas 2/5) during performance of a continuous manual tracking task. Monkeys manually pursued a continuously moving target that followed a series of straight-line movement segments, arranged in a sequence where the direction (but not length) of the upcoming segment varied unpredictably as each new segment appeared. Based on recordings from populations of MI (31-143 units) and PE (22-87 units), we compared hand position and velocity reconstructions based on linear filters. We successfully reconstructed hand position and velocity from area PE (mean r (2) = 0.751 for position reconstruction, r (2) = 0.614 for velocity), demonstrating trajectory reconstruction from each area. Combing these populations provided no reconstruction improvements, suggesting that kinematic representations in MI and PE encode overlapping hand movement information, rather than complementary or unique representations. These overlapping representations may reflect the areas' common engagement in a sensorimotor feedback loop for error signals and movement goals, as required by a task with continuous, time-evolving demands and feedback. The similarity of information in both areas suggests that either area might provide a suitable target to obtain control signals for brain computer interface applications.

Entities:  

Mesh:

Year:  2012        PMID: 23274645      PMCID: PMC3594639          DOI: 10.1007/s00221-012-3377-0

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  41 in total

1.  Apparatus for measuring and perturbing shoulder and elbow joint positions and torques during reaching.

Authors:  S H Scott
Journal:  J Neurosci Methods       Date:  1999-07-15       Impact factor: 2.390

2.  Muscle and movement representations in the primary motor cortex.

Authors:  S Kakei; D S Hoffman; P L Strick
Journal:  Science       Date:  1999-09-24       Impact factor: 47.728

3.  Parietal representation of hand velocity in a copy task.

Authors:  Bruno B Averbeck; Matthew V Chafee; David A Crowe; Apostolos P Georgopoulos
Journal:  J Neurophysiol       Date:  2004-07-21       Impact factor: 2.714

4.  Virtual lesions of the anterior intraparietal area disrupt goal-dependent on-line adjustments of grasp.

Authors:  Eugene Tunik; Scott H Frey; Scott T Grafton
Journal:  Nat Neurosci       Date:  2005-03-20       Impact factor: 24.884

5.  Stable ensemble performance with single-neuron variability during reaching movements in primates.

Authors:  Jose M Carmena; Mikhail A Lebedev; Craig S Henriquez; Miguel A L Nicolelis
Journal:  J Neurosci       Date:  2005-11-16       Impact factor: 6.167

6.  Bayesian population decoding of motor cortical activity using a Kalman filter.

Authors:  Wei Wu; Yun Gao; Elie Bienenstock; John P Donoghue; Michael J Black
Journal:  Neural Comput       Date:  2006-01       Impact factor: 2.026

7.  Movement intention is better predicted than attention in the posterior parietal cortex.

Authors:  Rodrigo Quian Quiroga; Lawrence H Snyder; Aaron P Batista; He Cui; Richard A Andersen
Journal:  J Neurosci       Date:  2006-03-29       Impact factor: 6.167

8.  Cortical networks for visual reaching.

Authors:  P B Johnson; S Ferraina; R Caminiti
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

9.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia.

Authors:  Leigh R Hochberg; Mijail D Serruya; Gerhard M Friehs; Jon A Mukand; Maryam Saleh; Abraham H Caplan; Almut Branner; David Chen; Richard D Penn; John P Donoghue
Journal:  Nature       Date:  2006-07-13       Impact factor: 49.962

10.  Movement parameters and neural activity in motor cortex and area 5.

Authors:  J Ashe; A P Georgopoulos
Journal:  Cereb Cortex       Date:  1994 Nov-Dec       Impact factor: 5.357

View more
  8 in total

1.  Primary motor cortex neurons classified in a postural task predict muscle activation patterns in a reaching task.

Authors:  Ethan A Heming; Timothy P Lillicrap; Mohsen Omrani; Troy M Herter; J Andrew Pruszynski; Stephen H Scott
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

2.  Online binary decision decoding using functional near-infrared spectroscopy for the development of brain-computer interface.

Authors:  Noman Naseer; Melissa Jiyoun Hong; Keum-Shik Hong
Journal:  Exp Brain Res       Date:  2013-11-21       Impact factor: 1.972

Review 3.  Interfacing to the brain's motor decisions.

Authors:  Giovanni Mirabella; Mikhail А Lebedev
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

4.  Correlations Between Primary Motor Cortex Activity with Recent Past and Future Limb Motion During Unperturbed Reaching.

Authors:  Tomohiko Takei; Frédéric Crevecoeur; Troy M Herter; Kevin P Cross; Stephen H Scott
Journal:  J Neurosci       Date:  2018-07-23       Impact factor: 6.167

5.  Population interactions between parietal and primary motor cortices during reach.

Authors:  David L Menzer; Naveen G Rao; Adrian Bondy; Wilson Truccolo; John P Donoghue
Journal:  J Neurophysiol       Date:  2014-09-10       Impact factor: 2.714

6.  Joint angles and angular velocities and relevance of eigenvectors during prehension in the monkey.

Authors:  Jodi F Prosise; Claudia M Hendrix; Timothy J Ebner
Journal:  Exp Brain Res       Date:  2014-10-18       Impact factor: 1.972

7.  Distinct contributions of human posterior parietal and dorsal premotor cortex to reach trajectory planning.

Authors:  Artur Pilacinski; Axel Lindner
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

Review 8.  Decoding methods for neural prostheses: where have we reached?

Authors:  Zheng Li
Journal:  Front Syst Neurosci       Date:  2014-07-16
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.