Functional Brain mapping using ECoG (electrocorticography)

Slides:



Advertisements
Similar presentations
fMRI Methods Lecture 9 – The brain at rest
Advertisements

Cortical activity during motor execution, motor imagery, and imagery-based online feedback Kai J. Miller, Gerwin Schalk, Eberhard E. Fetz, Marcel den Nijs,
Results and Discussion Logan Pedersen & Dr. Mei-Ching Lien School of Psychological Science, College of Liberal Arts Introduction A classic finding in Psychology.
Brain-computer interfaces: classifying imaginary movements and effects of tDCS Iulia Comşa MRes Computational Neuroscience and Cognitive Robotics Supervisors:
1 1 MPI for Biological Cybernetics 2 Stanford University 3 Werner Reichardt Centre for Integrative Neuroscience Eberhard Karls University Tuebingen Epidural.
Electrophysiology. Electroencephalography Electrical potential is usually measured at many sites on the head surface More is sometimes better.
Participants Negative BOLD and Aging: An fMRI Investigation K.M. McGregor 1,2, K.D. White 1,2,3, M. Benjamin 1,3, W.K. Berg 2, I. Fischler 2, J. Craggs.
Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach By Adil Mehmood Khan.
C RESULTS: SNR of visual gamma oscillations Robust visual gamma responses were observed in 18 of the 27 subjects analysed Figure 4: A) SNR plotted as a.
MEG/EEG Module Trainees Kai Hwang Tina Rasmussen TA Gus Sudre Bronwyn Woods Instructor Bill Eddy, Ph.D. Anna Haridis Thanks to:
ROBERTS MENCIS Predicting finger flexion from electrocorticography (ECoG) data.
D ECOUPLING THE C ORTICAL P OWER S PECTRUM Real-Time Representation of Finger Movements 1.
Pre-processing for EEG and MEG
HST 583 fMRI DATA ANALYSIS AND ACQUISITION Neural Signal Processing for Functional Neuroimaging Emery N. Brown Neuroscience Statistics Research Laboratory.
Rapid Self-Paced Event- Related Functional MRI: Feasibility and Implications of Stimulus- versus Response- Locked Timing Maccotta, Zacks & Buckner, 2001.
Subdural Grid Intracranial electrodes typically cannot be used in human studies It is possible to record from the cortical surface Subdural grid on surface.
Electroencephalography The field generated by a patch of cortex can be modeled as a single equivalent dipolar current source with some orientation (assumed.
Electroencephalography and the Event-Related Potential
Electroencephalography Electrical potential is usually measured at many sites on the head surface.
Inferring individual perceptual experience from MEG: Robust statistics approach Andrey Zhdanov 1,4, Talma Hendler 1,2, Leslie Ungerleider 3, Nathan Intrator.
Four Main Approaches Experimental cognitive psychology Cognitive neuropsychology Computational cognitive science Cognitive neuroscience.
Model-based detection of event- related signals in electrocorticogram Jeffrey A. Fessler, Se Young Chun EECS Department Jane E. Huggins, Simon. P. Levine.
Closed and Open Electrical Fields
Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach By Adil Mehmood Khan.
Review, Hollan & Gorodnitsky Adrienne Moore, by
Change blindness and time to consciousness Professor: Liu Student: Ruby.
Graz-Brain-Computer Interface: State of Research By Hyun Sang Suh.
Issues in Experimental Design fMRI Graduate Course October 30, 2002.
Functional Brain Signal Processing: EEG & fMRI Lesson 4
Need for cortical evoked potentials Assessment and determination of amplification benefit in actual hearing aid users is an issue that continues to be.
Applying Functional Holography to fMRI Exploring functional asymmetry in the motor cortex as a means of determining hemispheric dominance Amir Rapson,
Cognition, Brain and Consciousness: An Introduction to Cognitive Neuroscience Edited by Bernard J. Baars and Nicole M. Gage 2007 Academic Press Chapter.
Automatic online control of motor adjustments -P NANDHA KUMAR.
Cognitive Psychology PSYC231 Cognition and the Brain: Basic Principles 2 Dr. Jan Lauwereyns, EA619, ext
Motivation Increase bandwidth of BCI. Reduce training time Use non invasive technique.
Database Comparisons: Age effects. EEG age effects by hemisphere.
EE 4BD4 Lecture 11 The Brain and EEG 1. Brain Wave Recordings Recorded extra-cellularly from scalp (EEG) Recorded from extra-cellularly from surface of.
The brain at rest. Spontaneous rhythms in a dish Connected neural populations tend to synchronize and oscillate together.
Acknowledgement Work supported by NINDS (grant NS39845), NIMH (grants MH42900 and 19116) and the Human Frontier Science Program Methods Fullhead.
Corresponding author: Ruth Raymaekers, Ghent University, Department of Experimental-Clinical and Health Psychology, Research Group Developmental Disorders;
ANT Z=52 R ACUE - PASSIVE VCUE - PASSIVE 1300 msVoltageCSD.31uV.03uV/cm 2 AIM We investigate the mechanisms of this hypothesized switch-ERP.
EEG Alpha Oscillations The inhibition-timing hypothesis.
2 spontaneous ongoing pain rating stimulus ongoing pain rating (affected area) stimulus ongoing pain rating (control area) mechanical stimulus Mechanical.
Older adult scanning methodology II: How to decide between conflicting literature? Andy James fMRI Journal Club October 26, 2004.
An ERP investigation of response inhibition in adults with DCD Elisabeth Hill Duncan Brown José van Velzen.
Topographic mapping on memory test of verbal/spatial information assessed by event related potentials (ERPs) Petrini L¹², De Pascalis V², Arendt-Nielsen.
Cortical Event-Realated Potentials to Auditory Stimuli 초고주파 및 항공전자통신 연구실 석사 2 차 : 임의선 (林宜宣) Lin Yixuan
Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. (a) This image shows the fNIRS sources (dark blue filled circles), detectors (light.
Date of download: 6/30/2016 Copyright © The American College of Cardiology. All rights reserved. From: Determination of refractory periods and conduction.
From: Odorants Elicit Evoked Potentials in the Human Amygdala
[Ran Manor and Amir B.Geva] Yehu Sapir Outlines Review
Brain Electrophysiological Signal Processing: Postprocessing
Neurofeedback of beta frequencies:
The Human Default Mode Network: A revelation of modern neuroimaging
Volume 69, Issue 3, Pages (February 2011)
Volume 64, Issue 4, Pages (November 2009)
Volume 27, Issue 2, Pages (January 2017)
Roman F. Loonis, Scott L. Brincat, Evan G. Antzoulatos, Earl K. Miller 
Activity-Dependent Neural Plasticity from Bench to Bedside
Between-day reliability of daily activity fluctuations in young adults
EEG and MEG: Relevance to Neuroscience
Selective Entrainment of Theta Oscillations in the Dorsal Stream Causally Enhances Auditory Working Memory Performance  Philippe Albouy, Aurélien Weiss,
Medial Prefrontal and Subcortical Mechanisms Underlying the Acquisition of Motor and Cognitive Action Sequences in Humans  Etienne Koechlin, Adrian Danek,
Volume 76, Issue 2, Pages (October 2012)
Machine Learning for Visual Scene Classification with EEG Data
Volume 34, Issue 5, Pages (May 2002)
Normal Movement Selectivity in Autism
Time–frequency maps of event-related signal power changes.
Spectra superimposed on the brain over each electrode for patient JC during a hand movement task (red curves) and resting interval (blue curves). Spectra.
Søren K. Andersen, Steven A. Hillyard, Matthias M. Müller 
Presentation transcript:

Functional Brain mapping using ECoG (electrocorticography) Keren Rosenberg Seminar computational method March 08

Use of ECoG for identification of functional brain areas ECoG stimulations: determine critical location by disrupting the function. ECoG recordings: mapping endogenous cortical function, reflecting normal cortical function.

Functionally event results in: ERD (Event-related desynchronization) ERS (Event-related synchronization) ERP (Event-related potentials) not phase-locked phase-locked Hand movement: decrease in Mu rhythm (9-13 Hz) Closing eyes and relaxation: increase in alpha (9-12 Hz)

Real-time functional brain mapping using electrocorticography (ECoG) Kai J. Miller, Marcel denNijs, Pradeep Shenoy, John W. Miller, Rajesh P.N. Rao and Jeffrey G. Ojemann NeuroImage (2007)

Aim Improving the identification of functional correlates using ECoG recordings.

Different analysis techniques: Miller, K. J. et al. J. Neurosci. 2007;27:2424-2432 Copyright ©2007 Society for Neuroscience

Method Using HFB band-pass of 76-200 Hz which is called: “Ҳ index” 8 patients with peri rolandic electrodes ECoG: 4 mm diameter, 1 cm inter-electrode spacing Amplifier: 0.15-200 Hz Data was processed online using BCI2000

Task Repeated opening and closing hand for 3-s block and 3-s rest. This was repeated 15 times stating with 10 seconds of rest. Analysis was only of first 5 blocks.

Data analysis X index band-passed 80 ms windows Log power of data was calculated Mean and SD of the log power were determined for the baseline period. For activity period, the baseline was subtracted for each time window. Generation of cortical activation map.

A reliable increase with function was over the entire 76–200 Hz interval Spectogram from a single electrode for 15s hand movement vs. 10s baseline. Decrease in mu rhythm in hand movement

localized activity for the first 15 s of movement Offline hand motor area mapping. The bar plots indicate the sum of suprathreshold activity for each electrode.

Movement vs. baseline- 8 subjects Chi Index Freq 30 76 200 Averaged difference between movement and baseline in log power in the most responsive electrode Mean, superimposed, activation across all 8 patients

Real time mapping Supra-threshold activity immediately upon initiation of the handshake, Activation of hand sensorimotor cortex throughout the handshake. Movie

Discussion Reliable maps of cortical function can be obtained using the power in the “χ-index . The results can be assessed immediately, in real time. This method can be applied to clinical and research mapping of human cortex. However… No comparison to other methods such as fMRI or ECoG stimulations. Showed correspondence to Intra Operative Stimulations only in 3 subjects. Not all of the subjects showed focal pattern of activation.

Case Study Keren Rosenberg Dr. Kipervasser Svetlana llana Podlipsky Dr. Hadas Okon-Singer Uri Gordon Andrey Zhdanov Dr. David Papo Prof. Itzhak Fried Dr. Talma Hendler Dr. Kipervasser Svetlana Dr. Fani Andelman David Yosef

Case Study 21 years old male (T.B) with epilepsy No focal lesion Pre-surgical multi-modal evaluation: fMRI ElectroCorticoGraphy (EcoG) stimulations EcoG recordings

Paradigm– Finger tapping: External Internal 2 2 2 # # # Simple 2 1 3 # $ % Complex Block design – 12 task blocks – 6 sequences X 3 sec=18 seconds 13 rest blocks

Correspondance between fMRI and Stripes 4 8 t(106) p<0.000118 Activation maps of patient T.B All motor vs. rest Group activation map

EcoG stimulus evoked event related potentials (ERPs) Internal simple External simple stimulus onset stimulus onset Move to notes: Readiness potentials preceding voluntary movements in the SMA were higher for freely selected movements than for movements in a fixed direction. (Praamstra et al., 1995)

Summary In the SMA, amplitude differences locked to cue depends on source of planning