10.5061/DRYAD.NK98SF7Q7
Chowdhury, Raeed
0000-0002-5934-919X
University of Pittsburgh
Glaser, Joshua
Columbia University
Miller, Lee
0000-0001-8675-7140
Northwestern University
Data from: Area 2 of primary somatosensory cortex encodes kinematics of
the whole arm
Dryad
dataset
2020
Proprioception
motion tracking
macaques
primary somatosensory cortex
neural recordings
Rhesus Macaque
National Science Foundation
https://ror.org/021nxhr62
DGE-1324585
National Institute of Neurological Disorders and Stroke
https://ror.org/01s5ya894
R01 NS095251
2020-01-13T00:00:00Z
2020-01-13T00:00:00Z
en
https://doi.org/10.7554/eLife.48198
4016198198 bytes
6
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Proprioception, the sense of body position, movement, and associated
forces, remains poorly understood, despite its critical role in movement.
Most studies of area 2, a proprioceptive area of somatosensory cortex,
have simply compared neurons' activities to the movement of the hand
through space. By using motion tracking, we sought to elaborate this
relationship by characterizing how area 2 activity relates to whole arm
movements. We found that a whole-arm model, unlike classic models,
successfully predicted how features of neural activity changed as monkeys
reached to targets in two workspaces. However, when we then evaluated this
whole-arm model across active and passive movements, we found that many
neurons did not consistently represent the whole arm over both conditions.
These results suggest that 1) neural activity in area 2 includes
representation of the whole arm during reaching and 2) many of these
neurons represented limb state differently during active and passive
movements.
For full methodological information, see: [1] Chowdhury, R.H., Glaser,
J.I., Miller, L.E. Area 2 of primary somatosensory cortex encodes
kinematics of the whole arm. eLife (2019) doi: 10.7554/eLife.48198
This data set includes behavioral recordings and extracellular neural
recordings from area 2 of primary somatosensory cortex of Rhesus macaques
during two separate reaching experiments. Raeed Chowdhury collected and
processed the data in the laboratory of Lee Miller for use in Chowdhury et
al. 2019 (accepted in eLife as of 12/2019), which characterized how area 2
neurons represent reaching movements. Results and methodology from these
experiments are described in [1]. In both experiments, monkeys controlled
a cursor on a screen using a two link, planar manipulandum. In the first
experiment, from which we include eight total sessions, monkeys reached to
sequential, visually presented targets in one of two workspaces: one near
the body on the contralateral side to the reaching arm and one far from
the body on the ipsilateral side. In the second experiment, from which we
include four total sessions, monkeys performed a simple center-out task,
where on some random trials during the center-hold period, the
manipulandum applied a perturbation to the monkey’s hand. During these
reaching tasks, we tracked the locations of ten markers on the monkey’s
arm, used to estimate joint angles and muscle lengths during the
behavioral experiments. In addition to the behavioral data, we collected
neural data from area 2 using Blackrock Utah multielectrode arrays,
yielding ~100 channels of extracellular recordings per monkey. Recordings
from these channels were thresholded online to detect spikes, which were
sorted offline into putative single units. In addition to the data from
these experiments, we have also included data from several sensory mapping
sessions with the three monkeys, where we characterized the sensory
receptive fields of several electrodes on the arrays. Analysis code used
to produce figures for [1] provides useful examples for how to work with
this dataset. See https://github.com/raeedcho/s1-kinematics.git for code
and readme. If you publish any work using the data, please cite the
publication above ([1] Chowdhury et. al, 2019) and also cite this data
set.