Presentation on theme: "Functional Brain Signal Processing: Current Trends and Future Directions Kaushik Majumdar Indian Statistical Institute Bangalore Center"— Presentation transcript:
Functional Brain Signal Processing: Current Trends and Future Directions Kaushik Majumdar Indian Statistical Institute Bangalore Center email@example.com National Conference on Brain and Consciousness, 20 – 21 September 2013, ISI Kolkata
Functional Brain Signals EEG ECoG LFP Single Cell Electrophysiology MEG fMRI PET SPECT Two Photon Microscopy
Functional Brain Regions http://spot.colorado.edu/~dubin/talks/brodmann/br odmann.html By fundamental premise of deductive science it is to be determined how each area works and how different areas work together, that is, how the areas couple and decouple among themselves. The gold-standard signals are electrophysiological signals from single cells to scalp EEG.
Electrophysiological Signals at Different Scales Single cell recording Local filed potential (LFP) Electrocorticogram (ECoG) Electroencephalogram (EEG) Buzsaki et al., Nat. Rev. Neurosci., 13: 407 – 420, 2012
Information Richness EEG – least informative, source ambiguous, full of artifacts. ECoG – mainly excitatory postsynaptic potential in layer VI of the cortex, has less artifacts and more informative than EEG. LFP – is the most information rich brain signal, superposition of almost all sorts of membrane potentials.
Oscillation and Synchrony: Two Major Paradigms for Studying Brain Functions Oscillating band components in EEG are delta (0 – 4 Hz), theta (4 – 8 Hz), alpha (8 – 12 Hz), beta (12 – 30 Hz) and gamma (30 – 80 Hz). LFP in mammalian forebrain can oscillate between 0.05 to 500 Hz (Buzsaki & Draguhn, 2004). Power of oscillation of frequency ƒ varies as ƒ -2.
Brain Oscillations (cont.) The higher the frequency the more confined the oscillation is locally. The lower the frequency the more widespread the oscillation is.
Neuronal Oscillation: Functions Modulates synaptic plasticity. Influence reaction time. Correlates with attention. Modulates perceptual binding. Coordinate among brain regions far apart. Consolidate memory. Canolty et al., Science., 313: 1626 – 1628, 2006
Phase Synchronization in Face Perception Rodriguez et al., Nature, 397: 430 – 433, 1999
Future Challenges Human depth EEG acquisition. Different paradigms of cortical computation: a) Neural computation. b) Synaptic computation. c) Dendritic computation. d) Glial computation. Membrane computation. Brain-body integration.
References G. Buzsaki, C. A. Anastassiou and C. Koch, The origin of extracellular fields and currents – EEG, ECoG, LFP and spikes, Nat. Rev. Neurosci., 13: 407 – 420, 2012. X.-J. Wang, Neurophysiological and computaitonal principles of cortical rhythms in cognition, Physiological Rev., 90(3): 1195 – 1268, 2010.
THANK YOU This lecture is available at http://www.isibang.ac.in/~kaushikhttp://www.isibang.ac.in/~kaushik