Moriah Thomason Lara Foland ‘n Me Radiological Sciences Laboratory Center for Advanced MR Technology* Stanford University School of Medicine Department.

Slides:



Advertisements
Similar presentations
Joint Detection-Estimation of Brain Activity in fMRI using Graph Cuts Thesis for the Master degree in Biomedical Engineering Lisbon, 30 th October 2008.
Advertisements

Basis Functions. What’s a basis ? Can be used to describe any point in space. e.g. the common Euclidian basis (x, y, z) forms a basis according to which.
EMBO/EMBL Heidelberg, Germany November 2006 From Genetics to Neuroethics: Is Imaging “Visualizing” Human Thought? Judy Illes, Ph.D. Program in Neuroethics.
Richard Wise FMRI Director +44(0)
Basis of the BOLD signal
The BOLD Response Douglas C. Noll Department of Biomedical Engineering
Experimental Design Rik Henson With thanks to: Karl Friston, Andrew Holmes Experimental Design Rik Henson With thanks to: Karl Friston, Andrew Holmes.
Declaration of Conflict of Interest or Relationship
Detecting Conflict-Related Changes in the ACC Judy Savitskaya 1, Jack Grinband 1,3, Tor Wager 2, Vincent P. Ferrera 3, Joy Hirsch 1,3 1.Program for Imaging.
Principles of MRI. Some terms: –Nuclear Magnetic Resonance (NMR) quantum property of protons energy absorbed when precession frequency matches radio frequency.
Event-related fMRI (er-fMRI) Methods & models for fMRI data analysis 25 March 2009 Klaas Enno Stephan Laboratory for Social and Neural Systems Research.
fMRI introduction Michael Firbank
Noll The Physiological Origins of Non-Linearities in the BOLD Response Douglas C. Noll Alberto L. Vazquez Department of Biomedical Engineering University.
Event-related fMRI (er-fMRI) Methods & models for fMRI data analysis 05 November 2008 Klaas Enno Stephan Laboratory for Social and Neural Systems Research.
FMRI: Biological Basis and Experiment Design Lecture 13: BOLD Neurons per voxel Neural signaling Neural/vascular link? HRF –linearity 1 light year = 5,913,000,000,000.
FMRI: Biological Basis and Experiment Design Intro History Basic mechanism Neurohemodynamic coupling.
BOLD fMRI Cheryl Olman 4th year student Department of Neuroscience and
FMRI: Biological Basis and Experiment Design Lecture 4 History Basic mechanism Outstanding questions.
LLFOM: A Nonlinear Hemodynamic Response Model Bing Bai NEC Labs America Oct 2014.
1st level analysis: basis functions and correlated regressors
Functional Magnetic Resonance Imaging Carol A. Seger Psychology Molecular, Cellular, and Integrative Neuroscience Michael Thaut Music, Theater, and Dance.
Parametric modulation, temporal basis functions and correlated regressors Mkael Symmonds Antoinette Nicolle Methods for Dummies 21 st January 2008.
I NTRODUCTION The use of rapid event related designs is becoming more widespread in fMRI research. The most common method of modeling these events is by.
BOLD Contrast: Functional Imaging with MRI
BOLD fMRI.
Biological Basis for the Blood Oxygenation Level Dependent signal.
ANALYSIS OF fMRI DATA BASED ON NN-ARx MODELING Biscay-Lirio, R: Inst. of Cybernetics, Mathematics and Physics, Cuba Bosch-Bayard, J.: Cuban Neuroscience.
FINSIG'05 25/8/2005 1Eini Niskanen, Dept. of Applied Physics, University of Kuopio Principal Component Regression Approach for Functional Connectivity.
Basics of fMRI Time-Series Analysis Douglas N. Greve.
–1– Regression & Deconvolution Slides courtesy of Bob Cox, NIH Presented by Keith McGregor.
STRATEGIES OF COGNITIVE NEUROSCIENCE The Coin of the Realm: correlations between psychological and neurophysiological events/structures Establishing two-way.
Functional Brain Signal Processing: EEG & fMRI Lesson 15 Kaushik Majumdar Indian Statistical Institute Bangalore Center M.Tech.
Dynamic Causal Modelling Will Penny Wellcome Department of Imaging Neuroscience, University College London, UK FMRIB, Oxford, May
Statistical Parametric Mapping
Calibration Working Group Progress visual stimulus calibration data smoothness effects on analysis Proposed tasks for competing renewal.
Peter A. Bandettini, Ph.D. Section on Functional Imaging Methods Laboratory of Brain and Cognition & Functional MRI Facility
BOLD-Based fMRI or “The Stuff We Do With The 4T” Part I Chris Thomas April 27, 2001.
Functional Brain Signal Processing: EEG & fMRI Lesson 14
Dynamic Causal Modelling (DCM) Marta I. Garrido Thanks to: Karl J. Friston, Klaas E. Stephan, Andre C. Marreiros, Stefan J. Kiebel,
Calibration WG Projects published QA Analysis Friedman L; Glover GH. Report on a multicenter fMRI quality assurance protocol. JMRI 23: (2006). Smoothness.
Temporal Basis Functions Melanie Boly Methods for Dummies 27 Jan 2010.
Event-related fMRI SPM course May 2015 Helen Barron Wellcome Trust Centre for Neuroimaging 12 Queen Square.
Origin of Negative BOLD fMRI Signals
Ch. 5 Bayesian Treatment of Neuroimaging Data Will Penny and Karl Friston Ch. 5 Bayesian Treatment of Neuroimaging Data Will Penny and Karl Friston 18.
Joint Estimation of Activity Signal and HRF in fMRI using Fused LASSO Priya Aggarwal 1, Anubha Gupta 1, and Ajay Garg 2 1 SBILab, Department of Electronics.
Statistical Analysis An Introduction to MRI Physics and Analysis Michael Jay Schillaci, PhD Monday, April 7 th, 2007.
Statistical Parametric Mapping Lecture 2 - Chapter 8 Quantitative Measurements Using fMRI BOLD, CBF, CMRO 2 Textbook: Functional MRI an introduction to.
The Use of Nitric Oxide in Intensive Care Ventilation Wassim Sukari, M.D.
The General Linear Model
The linear systems model of fMRI: Strengths and Weaknesses Stephen Engel UCLA Dept. of Psychology.
The General Linear Model Guillaume Flandin Wellcome Trust Centre for Neuroimaging University College London SPM fMRI Course London, May 2012.
Calibration WG Overall goals: 2.Develop and implement means for reducing intersite variations in fMRI sensitivity - Procedures on web site - Paper in press:
BOLD fMRI BIAC Graduate fMRI Course October 1, 2003.
Laboratory 2: Introduction to fMRI Data and Analysis September 18, 2006 HST.583 Divya Bolar.
Dynamic Causal Models Will Penny Olivier David, Karl Friston, Lee Harrison, Andrea Mechelli, Klaas Stephan Mathematics in Brain Imaging, IPAM, UCLA, USA,
Dynamic Causal Models Will Penny Olivier David, Karl Friston, Lee Harrison, Stefan Kiebel, Andrea Mechelli, Klaas Stephan MultiModal Brain Imaging, Copenhagen,
The General Linear Model Guillaume Flandin Wellcome Trust Centre for Neuroimaging University College London SPM fMRI Course London, October 2012.
BOLD functional MRI Magnetic properties of oxyhemoglobin and deoxyhemoglobin L. Pauling and C. Coryell, PNAS USA 22: (1936) BOLD effects in vivo.
Latest Developments in fMRI Peter A. Bandettini, Ph.D Unit on Functional Imaging Methods & 3T Neuroimaging Core Facility Laboratory of Brain and Cognition.
Physiological correlates of the BOLD signal an Introduction.
BOLD Contrast: Functional Imaging with MRI
The Linear Systems Approach
Effective Connectivity
The General Linear Model (GLM): the marriage between linear systems and stats FFA.
Dynamic Causal Modelling
Experimental Design Christian Ruff With thanks to: Rik Henson
Effective Connectivity
Experimental Design Christian Ruff With slides from: Rik Henson
Probabilistic Modelling of Brain Imaging Data
A brief history of human brain mapping
Presentation transcript:

Moriah Thomason Lara Foland ‘n Me Radiological Sciences Laboratory Center for Advanced MR Technology* Stanford University School of Medicine Department of Radiology Neurosciences Program Towards Calibrating fMRI *

fMRI Calibration: Not needed here

Examples where quantifying activation may be important in drawing inferences about cognition: fMRI Calibration: Motivation Inter-group comparisons Age, health Longitudinal studies normal/abnormal development, therapy Multi-center studies fBIRN schizophrenia fMRI trial

BH Task: Children vs. Adults Thomason, et. al, 2005

BH Task: Children vs. Adults Thomason, et. al, 2005

BOLD contrast is indirect consequence of changes in regional metabolism Increased neuronal firing => increased blood flow => increased HbO2 & decreased (paramagnetic) Hb => increased MR signal Quantitative fMRI BOLD = Neuronal_Metabol HRF ( )NMR { }  HRF differences can modulate BOLD

Measurement of HRF - ER - Fourier-wtd block (FM) Breath holding - motivation - mechanism - prospects for calibration Outline

Definition: BOLD response to an impulsive stimulus may include neuronal and vascular responses -> use a cognitively simple task to reduce neuronal component may be nonlinear -> superposition does not hold Hemodynamic Response Function

HRF: Measure h(t) with 1s task motorauditory Glover, NI 1999 Finger tapping & tones at 3Hz, N=5

Spectral content of h(t)

Event related Fourier-wtd block (FM method) Nonlinearities Efficiency Measurement of HRF

Measurement of h(t): Fourier (FM) Design has on/off blocks of duration 4s, 6s, 8s, 10s, 12s, 16s, 20s, 30s, 40s, …4s

Measurement of h(t): Fourier (FM)

Analysis of Fourier Data: 1. GLM Model h(t): Then, calc. response is

GLM- Linear VisualAuditory

Response to epochs of finger tapping calculatedmeasured Glover, NI 1999 Finger tapping at 3Hz, 1.5T 1/3s, 2/3s, 1s, 2s, 4s, 8s, 16s

Sensorimotor Activation maps Glover, NI 1999

Second order Volterra series (Friston, 1998) Then, measurement is Nonlinearities

GLM- Linear vs. Nonlinear LinearNonlinear

GLM- Linear vs. Nonlinear

Event related Fourier-wtd block (FM method) Nonlinearities Efficiency Measurement of HRF

Measurement Efficiency ERFM  = 0.32  = 1.85 CNR(FM)/CNR(ER)= 6.1

Measurement Efficiency ER: 8 minFM: 6 min

Effect of HRF on Activation Gamma variate Linear HRF Nonlinear HRF

Adult/Child HRF

Effect of HRF on Activation Gamma variate Linear h JJEGAK AdultChild

Measurement of HRF - ER - Fourier-wtd block (FM) Breath holding - motivation - mechanism - prospects for calibration - fBIRN study - child/adult study of WM Outline

Breath-holding (BH) induces a systemic state change in brain oxygenation… Vascular Responsivity: BH … which results in a BOLD contrast change… … that does not derive from cognitive input. BOLD BH = NMR { HRF ( O2-state change ) } BOLD act = NMR { HRF ( CMRO2 change ) } |BOLD act | ~ |BOLD BH |  CMRO2 act

BOLD Signal Davis, PNAS (1998) Buxton, 2003 rCBF [HbO2] OEF [Hb] CMRO2 = OEF x rCBF x [HbO2]

BOLD Signal Kastrup (1999) Hoge (1999)

Block trial: 15s off/on - 8 cycles, 4 min, 15 s BH Task breathe normally 14sBreath in & hold 2sHold 14s

Activation BHSM

Vascular Responsivity: BH lf121103jshu112803

HbO2 vs. O2 in Lung

BH-induced BOLD signal Vascular res.   HR    rCBF  hypoxia Basal metab.  O 2 , CO 2, NO, H +   vasodilation   rCBF

BH Mechanism Thomason, et. al, 2005