Wednesday 10 October 2012 13:15 - 14:15
Spontaneous cortical activity and self-initiated movement
By Dr. Aaron Schurger, INCERM, FR.
The origin of voluntary,
self-initiated movements is one of the most fascinating and important
questions in neuroscience research. An influential finding in this area
of research is that a gradual buildup of neuronal activity, known as the
“readiness potential” (RP), reliably precedes self-initiated movements.
In the early 1980’s, Benjamin Libet found that the onset of the RP
precedes the conscious “urge” to move by 300 ms or more (Libet et al,
1983), and more recent study confirms the pre-urge buildup at the
single-neuron level (Fried et al, 2011). A related experiment using fMRI
showed that binary decisions could be predicted with better-than-chance
accuracy, several seconds before the decision was reached (Soon et al,
2008). Experiments such as these have had an unrivaled influence on the
prevailing view that movement is initiated pre-consciously and the
conscious “decision” to move is grafted on after the fact—leaving many
to doubt that we have conscious control over our actions. This view,
however, rests on the assumption that neural activity that reliably
precedes self-initiated or self-chosen actions reflects the unconscious
initiation of those actions.
Our recent work (Schurger, Sitt, & Dehaene PNAS 2012) directly
challenges this assumption with the assertion that the RP reflects
ongoing spontaneous fluctuations in neural activity, and not, as has
long been thought, a specific goal-directed process. We demonstrate that
neural-accumulator models of decision-making can explain the kind of
results cited above, once the autocorrelated nature of spontaneous brain
activity is taken into account. Our theoretical model provides answers
to puzzling questions that are not easily answered under the prevailing
framework – for example, why do crayfish also have a readiness
potential, and why is the RP not an exceptionally good predictor of
movement onset? I will describe our model, and the evidence supporting
it, and will discuss its implications for the prediction of behavior
from brain activity, the development of asynchronous BCI's, and the role
of brain-body interactions in the initiation of movement. I will
propose that a central theme connecting these different domains is the
question of when to move, and in closing I will briefly describe work-in-progress on the development of a
short-latency MEG/EEG-based asynchronous BCI using the ADA-boost
machine-learning algorithm. I will use this project to highlight the
potential synergy between BCI research, self-initiated-movement
research, and schizophrenia research.
Organization Center for Neuroprosthetics
Contact bruno.herbelin@epfl.ch
Accessibility Informed public
Admittance Free
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