BIAC Graduate fMRI Course October 5, 2005

Slides:



Advertisements
Similar presentations
Richard Wise FMRI Director +44(0)
Advertisements

Basis of the BOLD signal
The BOLD Response Douglas C. Noll Department of Biomedical Engineering
Declaration of Conflict of Interest or Relationship
Fund BioImag : MRI contrast mechanisms 1.What is the mechanism of T 2 * weighted MRI ? BOLD fMRI 2.How are spin echoes generated ? 3.What are.
Introduction to Functional and Anatomical Brain MRI Research Dr. Henk Cremers Dr. Sarah Keedy 1.
Opportunity to Participate EEG studies of vision/hearing/decision making – takes about 2 hours Sign up at – Keep checking.
Principles of MRI. Some terms: –Nuclear Magnetic Resonance (NMR) quantum property of protons energy absorbed when precession frequency matches radio frequency.
HST 583 fMRI DATA ANALYSIS AND ACQUISITION Neural Signal Processing for Functional Neuroimaging Emery N. Brown Neuroscience Statistics Research Laboratory.
Efficiency in Experimental Design Catherine Jones MfD2004.
EEG Experiment for Extra Credit Sign up on the sheet.
Principles of NMR Protons are like little magnets
fMRI introduction Michael Firbank
Opportunity to Participate
FMRI: Biological Basis and Experiment Design Intro History Basic mechanism Neurohemodynamic coupling.
BOLD fMRI Cheryl Olman 4th year student Department of Neuroscience and
Principles of MRI Some terms: – Nuclear Magnetic Resonance (NMR) quantum property of protons energy absorbed when precession frequency.
Measuring Blood Oxygenation in the Brain. Functional Imaging Functional Imaging must provide a spatial depiction of some process that is at least indirectly.
Signal and Noise in fMRI fMRI Graduate Course October 15, 2003.
What are we measuring in fMRI? Caroline Catmur Jack Kelly.
fMRI Joe Mandeville Martinos Center for Biomedical Imaging
BOLD Contrast: Functional Imaging with MRI
Functional Spectroscopy of Brain Activation Following a Single light Pulse: Examinations of the Mechanism of the Fast Initial Response. J.Henning,C.Janz,O.Speck,and.
BOLD fMRI.
Susceptibility Induced Loss of Signal: Comparing PET and fMRI on a Semantic Task Devlin et al. (in press)
Pulse Sequences Types of Pulse Sequences: Functional Techniques
Basics of Functional Magnetic Resonance Imaging. How MRI Works Put a person inside a big magnetic field Transmit radio waves into the person –These "energize"
FINSIG'05 25/8/2005 1Eini Niskanen, Dept. of Applied Physics, University of Kuopio Principal Component Regression Approach for Functional Connectivity.
Issues in Experimental Design fMRI Graduate Course October 30, 2002.
Neural Imaging II: Imaging Brain Function ANA 516: February 13, 2007 Jane E. Joseph, PhD.
BOLD Imaging An Introduction to MRI Physics and Analysis Michael Jay Schillaci, PhD Monday, February 25, 2008.
Neuronal Activity & Hemodynamics John VanMeter, Ph.D. Center for Functional and Molecular Imaging Georgetown University Medical Center.
STRATEGIES OF COGNITIVE NEUROSCIENCE The Coin of the Realm: correlations between psychological and neurophysiological events/structures Establishing two-way.
Cognition, Brain and Consciousness: An Introduction to Cognitive Neuroscience Edited by Bernard J. Baars and Nicole M. Gage 2007 Academic Press Chapter.
Statistical Parametric Mapping
Perfusion MRI in GSK Study
Class 3: Neurons  BOLD 2012 spring fMRI: theory & practice.
FMRI – Week 4 – Contrast Scott Huettel, Duke University MR Contrast FMRI Graduate Course (NBIO 381, PSY 362) Dr. Scott Huettel, Course Director.
BOLD-Based fMRI or “The Stuff We Do With The 4T” Part I Chris Thomas April 27, 2001.
A fMRI approach to probe CNS interaction Wei Chen, MD, MS. Modality : Animal MRI Mentor : Professor Seong-Gi Kim Kim’s Lab Faculty : Seong-Gi Kim, Tae.
fMRI Task Design Robert M. Roth, Ph.D.
Origin of Negative BOLD fMRI Signals
Statistical Parametric Mapping Lecture 2 - Chapter 8 Quantitative Measurements Using fMRI BOLD, CBF, CMRO 2 Textbook: Functional MRI an introduction to.
Brain magnetic resonance imaging with contrast dependent on blood oxygenation Ogawa et al. PNAS (1990) 87:9868.
BOLD fMRI BIAC Graduate fMRI Course October 1, 2003.
Laboratory 2: Introduction to fMRI Data and Analysis September 18, 2006 HST.583 Divya Bolar.
Accuracy, Reliability, and Validity of Freesurfer Measurements David H. Salat
Biophysics of BOLD and common image artefacts Rhodri Cusack Overview Biophysics of BOLD signal -Neural > Hemodynamic > MRI Complications at each level.
BOLD functional MRI Magnetic properties of oxyhemoglobin and deoxyhemoglobin L. Pauling and C. Coryell, PNAS USA 22: (1936) BOLD effects in vivo.
Indexing and Retrieval of Dyanamic Brain Images: Communication Within the Human Brain Author: Arnav Sheth Supervisor: Dr. Lawrence Shepp, Statistics Department,
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.
resentations/E225/ Go to 51:47-1:06 mark listen for 9 minutes.
BOLD Contrast: Functional Imaging with MRI
functional magnetic resonance imaging (fMRI)
COMPARISON OF OPTICAL AND fMRI MEASURES OF NEUROVASCULAR COUPLING
Functional near infra-red spectroscopy (fNIRS) of visual cortex: relationship of the haemodynamic response to glaucomatous field defects. Laura Ward1,
Cartography and Chronometry
Go to 51:47-1:06 mark listen for 9 minutes.
Jody Culham Brain and Mind Institute Department of Psychology
Cartography and Chronometry
Volume 42, Issue 2, Pages (April 2004)
Signal and Noise in fMRI
Volume 36, Issue 6, Pages (December 2002)
Experimental Design FMRI Graduate Course (NBIO 381, PSY 362)
Biomedical Imaging: Magnetic Resonance Imaging - Basics
High-Resolution fMRI Reveals Laminar Differences in Neurovascular Coupling between Positive and Negative BOLD Responses  Jozien Goense, Hellmut Merkle,
Volume 23, Issue 21, Pages (November 2013)
A brief history of human brain mapping
Presentation transcript:

BIAC Graduate fMRI Course October 5, 2005 BOLD fMRI BIAC Graduate fMRI Course October 5, 2005

Why do we need to know physics/physiology of fMRI? To understand the implications of our results Interpreting activation extent, timing, etc. Determining the strength of our conclusions Exploring new and unexpected findings To understand limitations of our method Choosing appropriate experimental design Combining information across techniques to overcome limitations To take advantage of new developments Evaluating others’ approaches to problems Employing new pulse sequences or protocols

Developments for BOLD MRI Echoplanar imaging methods Proposed by Mansfield in 1977 Ready availability of high-field scanners Technological developments Clinical applicability  insurance reimbursement  clinical prevalence Discovery of BOLD contrast mechanism

Contrast Agents Defined: Substances that alter magnetic susceptibility of tissue or blood, leading to changes in MR signal Affects local magnetic homogeneity: decrease in T2* Two types Exogenous: Externally applied, non-biological compounds (e.g., Gd-DTPA) Endogenous: Internally generated biological compound (e.g., dHb)

External Contrast Agents Most common are Gadolinium-based compounds introduced into bloodstream Very large magnetic moments Do not cross blood-brain barrier Create field gradients within/around vessels Reduces T1 values in blood (can help visualize tumor, etc.) Changes local magnetic fields Large signal changes: 30-50% Delay until agent bolus passes through MR imaging volume Width of response depends on delivery of bolus and vascular filtering Degree of signal change depends on total blood volume of area Issues Potential toxicity of agents (short-term toxicity, long-term accumulation) Cause headaches, nausea, pain at injection

Belliveau et al., 1990 Slice Location NMR intensity change (CBV) CBV Maps (+24%)

Common Contrast Agents Compound Longitudinal Relaxivity Transverse Relaxivity Magnetic Susceptibility GdCl2 1 MnCl2 0.96 3.83 0.51 GdDTPA 0.52 0.5 DyDTPA 0.03 0.04 1.78 GDTPA albumin 1.6 - Iron oxide particle (3nm) 0.41 0.63 40.7 Iron oxide particle (253nm) 4.4 15.5 148

Potential for Endogenous Contrast through Hemodynamics

Blood Deoxygenation affects T2 Recovery Decreasing Relaxation Time T1 Increasing Blood Oxygenation Thulborn et al., 1982

Ogawa et al., 1990a Subjects: 1) Mice and Rats, 2) Test tubes Equipment: High-field MR (7+ T) Results 1: Contrast on gradient-echo images influenced by proportion of oxygen in breathing gas Increasing oxygen content  reduced contrast No vascular contrast seen on spin-echo images Results 2: Examined signal from tubes of oxygenated and deoxygenated blood as measured using gradient-echo and spin-echo images

? ? ? ? Gradient Echo Spin Echo Ogawa 1990 Oxyhemoglobin Deoxyhemoglobin Ogawa 1990

Gradient Echo Spin Echo Oxyhemoglobin Deoxyhemoglobin Ogawa 1990

Ogawa et al., 1990b 100% O2 Under anesthesia, rats breathing pure oxygen have some BOLD contrast (black lines). Breathing a mix including CO2 results in increased blood flow, in turn increasing blood oxygenation. There is no increased metabolic load (no task). Therefore, BOLD contrast is reduced. 90% O2, 10% CO2

BOLD does not simply reflect blood flow… 0.75% Halothane (BOLD contrast) 3% Halothane (reduced BOLD) 100% N2 (enormous BOLD) Ogawa 1990

BOLD Endogenous Contrast Blood Oxyenation Level Dependent Contrast Deoxyhemoglobin is paramagnetic, oxyhemoglobin is less so. Magnetic susceptibility of blood increases linearly with increasing oxygenation Oxygen is extracted during passage through capillary bed Arteries are fully oxygenated Venous (and capillary) blood has increased proportion of deoxyhemoglobin Difference between oxy and deoxy states is greater for veins  BOLD sensitive to venous changes

Effects of TE and TR on T2* Contrast T2 Decay MR Signal T1 Recovery MR Signal 50 ms 1 s TE TR

Kwong et al., 1992  VISUAL   MOTOR 

Ogawa et al., 1992 High-field (4T) in humans Patterned visual stimulation at 10 Hz Gradient-echo (GRE) pulse sequence used Surface coil recorded Significant image intensity changes in visual cortex Image signal intensity changed with TE change What form of contrast?

Blamire et al., 1992 This was the first event-related fMRI study. It used both blocks and pulses of visual stimulation. Gray Matter Hemodynamic response to long stimulus durations. White matter Hemodynamic response to short stimulus durations. Outside Head

Relation of BOLD Activity to Neuronal Activity

1. Information processing reflects collected neuronal activity fMRI response varies with pooled neuronal activity in a brain region Behavior/cognitive ability determined by pooled activity Alternatively, if single neurons governed behavior, fMRI activation may be epiphenomenal

BOLD response reflects pooled local field potential activity BOLD response reflects pooled local field potential activity (Logothetis et al, 2001)

fMRI Hemodynamic Response 1500ms 500ms 100ms Calcarine Sulci Fusiform Gyri

Calcarine 1500ms 500ms * Fusiform 100ms

2. Co-localization BOLD response reflects activity of neurons that are spatially co-localized Based on what you know, is this true?

3. Measuring Deoxyhemoglobin fMRI measurements are of amount of deoxyhemoglobin per voxel We assume that amount of deoxygenated hemoglobin is predictive of neuronal activity

4. Uncoupling of CBF & CMRO2 Cerebral Blood Flow (CBF) and Cerebral Metabolic Rate of Oxygen (CMRO2) are coupled under baseline conditions PET measures CBF well, CMRO2 poorly fMRI measures CMRO2 well, CBF poorly CBF about .5 ml/g/min under baseline conditions Increases to max of about .7-.8 ml/g/min under activation conditions (+ 30%) CMRO2 only increases slightly with activation May only increase by 10-15% or less Note: A large CBF change may be needed to support a small change in CMRO2

The Hemodynamic Response

Impulse-Response Systems Impulse: single event that evokes changes in a system Assumed to be of infinitely short duration Response: Resulting change in system Impulses Convolution Response = Output

Basic Form of Hemodynamic Response Peak Rise Initial Dip Baseline Undershoot Sustained Response

fmri-fig-07-16-0.jpg

7.14 Summary of BOLD signal generation. (Part 1) fmri-fig-07-14-1.jpg

7.14 Summary of BOLD signal generation. (Part 2) fmri-fig-07-14-2.jpg

Baseline Period Why include a baseline period in epoch? Corrects for scanner drift across time

Initial Dip (Hypo-oxic Phase) Transient increase in oxygen consumption, before change in blood flow Menon et al., 1995; Hu, et al., 1997 Shown by optical imaging studies Malonek & Grinvald, 1996 Smaller amplitude than main BOLD signal 10% of peak amplitude (e.g., 0.1% signal change) Potentially more spatially specific Oxygen utilization may be more closely associated with neuronal activity than perfusion response

Early Evidence for the Initial Dip B Menon et al, 1995

Why is the initial dip controversial? Not seen in most studies Spatially localized to Minnesota May require high field Increasing field strength increases proportion of signal drawn from small vessels Of small amplitude/SNR; may require more signal Yacoub and Hu (1999) reported at 1.5T May be obscured with large voxels or ROI analyses May be selective for particular cortical regions Yacoub et al., 2001, report visual and motor activity Mechanism unknown Probably represents increase in activity in advance of flow But could result from flow decrease or volume increase

Yacoub et al., 2001

Negative BOLD response caused by impaired oxygen supply Subject: 74y male with transient ischemic attack (6m prior) Revealed to have arterial occlusion in left hemisphere Tested in bimanual motor task Found negative bold in LH, earlier than positive in right Rother, et al., 2002

Rise (Hyperoxic Phase) Results from vasodilation of arterioles, resulting in a large increase in cerebral blood flow Inflection point can be used to index onset of processing

Peak – Overshoot Over-compensatory response More pronounced in BOLD signal measures than flow measures Overshoot found in blocked designs with extended intervals Signal saturates after ~10s of stimulation

Sustained Response Blocked design analyses rest upon presence of sustained response Comparison of sustained activity vs. baseline Statistically simple, powerful Problems Difficulty in identifying magnitude of activation Little ability to describe form of hemodynamic response May require detrending of raw time course

Undershoot Cerebral blood flow more locked to stimuli than cerebral blood volume Increased blood volume with baseline flow leads to decrease in MR signal More frequently observed for longer-duration stimuli (>10s) May not be present for short duration stimuli May remain for 10s of seconds

fmri-fig-07-16-0.jpg

Issues in HDR Analysis Delay in the HDR Amplitude of the HDR Hemodynamic activity lags neuronal activity Amplitude of the HDR Variability in the HDR HDR as a relative measure

The Hemodynamic Response Lags Neural Activity Experimental Design Convolving HDR Time-shifted Epochs Introduction of Gaps

Percent Signal Change Peak / mean(baseline) Often used as a basic measure of “amount of processing” Amplitude variable across subjects, age groups, etc. 505 1% 500 205 200

Amplitude of the HDR Peak signal change dependent on: Brain region Task parameters  Voxel size Field Strength Kwong et al, 1992

fmri-fig-07-17-1.jpg

fmri-fig-07-17-2.jpg

Variability in the Hemodynamic Response Across Subjects Across Sessions in a Single Subject Across Brain Regions Across Stimuli

Relative vs. Absolute Measures fMRI provides relative change over time Signal measured in “arbitrary MR units” Percent signal change over baseline PET provides absolute signal Measures biological quantity in real units CBF: cerebral blood flow CMRGlc: Cerebral Metabolic Rate of Glucose CMRO2: Cerebral Metabolic Rate of Oxygen CBV: Cerebral Blood Volume