Encoding and decoding of voluntary movement control in the motor cortex

Transcription

1 Neuroinformatics and Theoretical Neuroscience Institute of Biology Neurobiology Bernstein Center for Computational Neuroscience Encoding and decoding of voluntary movement control in the motor cortex Martin Nawrot Oct 12, 2011 Teaching Week Computational Mind and Brain School

2 Introduction

3 Introduction

4 Introduction

5 Introduction cytoarchitectonics of motor cortical layers IV and V cortico-spinal tract

6 Encoding of Movement Parameters in the Motor Cortex Movement Encoding

7 Directional tuning of motor cortical cells Georgopoulos et al. (1982) J. Neuroscience

8 Directional tuning of motor cortical cells Cosine tuning: EXERCISE 1 : Estimate Tuning f i = b + Curve a cos ( i - 0 ) i : movement direction f : discharge rate 0 : preferred direction 0 b a Georgopoulos et al. (1982) J. Neuroscience

9 Directional tuning of motor cortical cells 0 Cosine tuning: f i = b + a cos ( i - 0 ) i : movement direction f : discharge rate 0 : preferred direction 0 How many independently cosine tuned neurons are required to individual cells show broad tuning with a unambigiously encode movement direction in their firing rate individual preferred direction (assumption: (noise-free cells case)? are independent) b Georgopoulos et al. (1982) J. Neuroscience

10 Directional tuning of motor cortical cells 0 individual cells show broad tuning with individual preferred direction (assumption: cells are independent) population vector: P = (f i b i ) p i Georgopoulos et al. (1982) J. Neuroscience

11 Decoding direction and speed with population vector Nawrot, Aertsen, Rotter (1999) J. Neurosci. Meth 94.

12 Bayesian Movement Decoding Movement decoding

13 Experimental Task : Preparatory Paradigm Data for EXERCISES Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

14 Time-resolved directional tuning Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

15 Time-resolved directional tuning Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

16 Time-resolved directional tuning Time-resolved Tuning Profile Tuning Vector Angular Deviation Signal-to-Noise Ratio Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

17 Bayesian Decoding (Naïve Bayes Classifyer)

18 Bayesian Decoding : Firing rate distributions Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

19 Time-resolved decoding from single neurons Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

20 Time-resolved decoding from single neurons Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

21 Time-resolved decoding from single neurons Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

22 Time-resolved decoding from single neurons Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

23 Time-resolved decoding from single neurons Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

24 Time-resolved decoding from single neurons Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

25 Time-resolved decoding from a neuronal population Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

26 Time-resolved decoding from a neuronal population Rickert, Riehle, Aertsen, Rotter, Nawrot (2009) J Neuroscience 29

27 Decoding of Time and Direction

28 Brain Machine Interfacing (BMI) Brain Machine Interfacing

29 Fetz (1999) Nature Neuroscience

30 1. neural interface to non-redundant sources 2. spatio - temporal scale of brain signals 3. techniques for information read out 4. sensory feedback integration

31 1. neural interface to non-redundant sources 2. spatio - temporal scale of brain signals 3. techniques for information read out 4. sensory feedback integration

32 Feedback - proprioreceptive - tactile 1. neural interface to non-redundant sources 2. spatio - temporal scale of brain signals 3. techniques for information read out 4. sensory feedback integration

33 individual paralysed group control group Shoham (2001) Nature 413

34 Decoding of instantaneous movement trajectory Nawrot, Aertsen, Rotter (1999) J. Neurosci. Meth 94.

35 Schwartz, Moran, Reina (2004) Science

36 Schwartz, Moran, Reina (2004) Science

37

38 Decoding Population and Mass Signals

39 Brain Signals at Different Scales Single cell signals Population signals Mass signals SUA LFP EFP EEG Wessberg et al (2000) Taylor et al. (2002) Serruya et al. (2002) Carmena et al. (2003) Schwartz et al (2004) Rickert et al (2009) Mehring et al. (2003) Rickert et al. (2005) Mehring et al. (2005) Leuthardt et al. (2004) Mehring et al. (2005) Birbaumer et al. (1999) Pfurtscheller et al. (2001) Wolpaw et al. (2004)

40 Movement Information in Local Field Potentials (LFP) Rickert et al. (2005) J Neuroscience 25

41 Movement Information in Local Field Potentials (LFP) Rickert et al. (2005) J Neuroscience 25

42 Movement Information in Local Field Potentials (LFP) Mehring et al. (2003) Nat Neurosci 6

43 Movement Information in Epicortical Field Potentials (EFP) Photo: J Honegger, University Hospital Freiburg Mehring et al. (2004) J Physiol Paris 98

44 Movement Information in Epicortical Field Potentials (EFP) raw single channel ECoG, multiple trials filter low-pass filtered at 0.5Hz cut off average across 50 trials average color code Mehring et al. (2004) J Physiol Paris

45 Movement Information in Epicortical Field Potentials (EFP) Movement Related Potential Mehring et al. (2004) J Physiol Paris 98

46 Movement Information in Epicortical Field Potentials (EFP) human EFP monkey LFP Mehring et al (2004) J. Physiol Paris

47 Movement Information in Epicortical Field Potentials (EFP)

48 Movement Information in Epicortical Field Potentials (EFP)

49

50 FIN