Download The effects of electrical microstimulation on cortical signal propagation

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Neural oscillation wikipedia , lookup

Functional magnetic resonance imaging wikipedia , lookup

Clinical neurochemistry wikipedia , lookup

Brain morphometry wikipedia , lookup

Neurophilosophy wikipedia , lookup

Selfish brain theory wikipedia , lookup

Perception wikipedia , lookup

Embodied cognitive science wikipedia , lookup

Neuroesthetics wikipedia , lookup

Brain wikipedia , lookup

Human multitasking wikipedia , lookup

Activity-dependent plasticity wikipedia , lookup

Nervous system network models wikipedia , lookup

Single-unit recording wikipedia , lookup

Binding problem wikipedia , lookup

Cortical cooling wikipedia , lookup

Environmental enrichment wikipedia , lookup

Brain Rules wikipedia , lookup

Neurolinguistics wikipedia , lookup

Cognitive neuroscience wikipedia , lookup

Haemodynamic response wikipedia , lookup

Central pattern generator wikipedia , lookup

History of neuroimaging wikipedia , lookup

Synaptic gating wikipedia , lookup

Time perception wikipedia , lookup

Neuroanatomy wikipedia , lookup

Holonomic brain theory wikipedia , lookup

Neural engineering wikipedia , lookup

Neuropsychology wikipedia , lookup

Development of the nervous system wikipedia , lookup

Connectome wikipedia , lookup

Human brain wikipedia , lookup

Cognitive neuroscience of music wikipedia , lookup

Aging brain wikipedia , lookup

Neurostimulation wikipedia , lookup

Neuroeconomics wikipedia , lookup

Optogenetics wikipedia , lookup

Sensory substitution wikipedia , lookup

Dual consciousness wikipedia , lookup

Multielectrode array wikipedia , lookup

Feature detection (nervous system) wikipedia , lookup

Brain–computer interface wikipedia , lookup

Neuropsychopharmacology wikipedia , lookup

Evoked potential wikipedia , lookup

Embodied language processing wikipedia , lookup

Motor cortex wikipedia , lookup

Neural correlates of consciousness wikipedia , lookup

Premovement neuronal activity wikipedia , lookup

Neuroprosthetics wikipedia , lookup

Metastability in the brain wikipedia , lookup

Neuroplasticity wikipedia , lookup

Transcript
A brain-machine interface
instructed by direct intracortical
microstimulation
Joseph E. O’Doherty, Mikhail A. Lebedev, Timothy
L. Hanson, Nathan A. Fitzsimmons
and Miguel A. L. Nicolelis
1
Key points (abstract)
• Brain–machine interfaces (BMIs) establish direct
communication between the brain and artificial
actuators.
• Future BMIs must also provide a means for delivering
sensory signals from the actuators back to the brain.
• In this study, a direct BMI have been achieved by
simultaneously multichannel recording from M1 and
stimulating S1.
2
Materials and Methods
3
Animal preparation
• Subjects: 2 adult male rhesus macaque monkeys
(6.7kg and 6.5kg).
• Cortical Implants:
– 6 microelectrode arrays (32 microwires in each) in M1, S1
and Premotor cortex (PMd) in Monkey1;
– 4 arrays in M1, PMd, Pariental cortex (PP), supplementary
motor area (SMA) in Monkey2.
4
Behavioral Tasks
• Three behavioral tasks were employed:
1. Center-out, 2. Continuous target pursuit and 3. Target choice task
5
Neural signal processing
• Linear Discriminant Analysis (LDA): 50ms bins. The neuronal
firing rate for each of the neurons in the ensemble was placed
into a vector for each time-bin.
• Prediction Algorithm: Cursor position was reconstructed
using multiple Wiener filter linear decoding algorithms
applied to the population of recorded Neurons.
6
Result (Average prediction accuracy)
•
•
•
•
HC: Hand Control
BCWH: Brain Control With Hand movements
BCWOH: Brain Control Without Hand movements
R: Average correlation coefficient between actual and predicted value
7
Findings
• The correspondence between the actual and predicted hand position
decreased in sessions BCWH (Wilcoxon signed-rank test).
• The R for X-position decreased 28.1% and 17.2% in Monkey 2. The R for Yposition decreased 16.7% and 15.6% in Monkeys 1 and 2, respectively.
• This decrease indicates that the neuronal ensemble adapted to
controlling the cursor movements and became less representative of the
animal’s hand movements (repeating previous findings of Lebedev et al.,
2005; Tkach et al., 2007)
8
BMI with Somatosensory input
9
10
11
Conclusion
• In the BMI with somatosensory input, one monkey controlled cursor
movements directly by using motor cortical activity while receiving
somatosensory instructive signals (ICMS) in S1.
• The second monkey also controlled the cursor using motor cortical activity
but, since PP ICMS was ineffective, received somatosensory signals via
vibrotactile stimulation of the hand.
• Therefore, it is conceivable that PP cannot be used for this type of
sensory instruction or that use of PP may require much longer training or
require different parameters.
• Stimulation of primary sensory areas of the cortex (and possibly
thalamus) appears to be most effective for sensory substitution in BMI.
12
Thank you
for your kind attention.
13