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Functional MRI: techniques and applications Susan Bookheimer, Ph.D. UCLA Center for Cognitive Neurosciences Disclosures • none Outline • Basis of fMRI signal; how it works, what it measures • fMRI experimental design • New techniques • Clinical applications • Research applications Introduction to Functional Imaging • Neurovascular Coupling: Increased local brain activity leads to: – – – – – Increased glucose utilization Increased cerebral blood flow Increased cerebral blood volume Minimal increase in oxygen utilization Increased deoxyhemoglobin concentration Functional Magnetic Resonance Imaging (FMRI) • MRI scanning of brain function (vs. structure) • An indirect measure of increased regional cerebral blood flow during neural activity • During increased brain activity, MRI signal intensity (“brightness”) increases with the increase in oxyhemoglobin concentration • Tells us which brain regions are “working” during task performance Principles of fMRI • Indirect measure of blood flow – Measures changes in magnetic susceptibility due to change in ratio of oxygenated vs. deoxygenated blood that accompanies increased neural activity • Relative measure – change across states (rest, activity) of arbitrary units of signal intensity Change in oxyhemoglobin concentration during increase blood flow Visual Stimulation in Occipital cortex Time Series analysis: Changes in MRI signal intensity during activation Assumptions in fMRI • Assumes relatively intact blood flow response • Permits relative, activation based measurements only • Requires adequate task performance fMRI techniques • Fast- scanning: Echoplanar (EPI) imaging – – – – Gradient echo EPI: susceptibility weighted Spin echo or asymmetric spin echo EPI Spiral Arterial spin labeling Hemodynamic response to activation tasks Image processing • Image reconstruction into a time series of volumes • Test the extent to which the MR signal intensity conforms to the predicted hemodynamic response • Present results in an accessible format Practical issues • Getting people in the scanner • Stimulus presentation • Head motion – restraint – Mathematical correction (eg AIR) MRI Scanner MRI Compatible Video Goggles Conceptual and methodogical aspects of experimental design • There are two aspects of fMRI design that are important to distinguish • Conceptual design – How do we design tasks to properly measure the processes of interest? – The issues here are very similar to those in cognitive psychology • Methodological design – How can we construct a task paradigm to optimize our ability to measure the effects of interest, within the specific constraints of the fMRI scanning environment? fMRI experimental design: A basic plan Define mental process to examine Define tasks to manipulate that process Measure fMRI data during tasks Compare fMRI data between tasks Hierarchical Ex B } Ex A - } Control Tailored Baseline Common baseline Ex A Parallel Ex B Control Parametric Ex A > Ctl A >} Ex B > Ctl B Factorial Designs Ex A Ex B AxB A< A < A < A Ex B > Ex A Ex A > Ex B Selective attention A B C A B C A B C Mixed, Nested Designs Conjunction Designs Priming/Adaptation Designs The subtraction method • Acquire data under two conditions – These conditions putatively differ only in the cognitive process of interest • Compare brain images acquired during those conditions • Regions of difference reflect activation due to the “subtracted” process of interest Petersen et al., 1988 Hierarchical subtraction example from Petersen, 1991 • Rest Control • Auditory words vs. rest: A1, word recognition centers • Visual words vs rest: visual areas, word form areas • Reading or repeating words vs passive words: motor areas • Generating words vs. repeating: semantic (language) areas - } Sensory - } Motor - } Semantic Experimental design models • Hierarchical designs – – – – Eg: Peterson et al language study Sensory control (see words) Output control (read words aloud) Language task (generate associates) • Use a cognitive subtraction model – Equate demands on all factors except one • Rely on theory of additive factors – active areas remain the same throughout the hierarchy Ex A Ex B Common Baseline Control – One level of hierarchy – Test for violation of additivity assumption – Allows you to see common areas active for A and B – Assumes A and B have similar psychometric properties (ie, level of difficulty, variation, and distribution in the population) – Need additional approach to see unique areas HOUSE Directed Attention Models • • • • All stimuli identical in all conditions Direct attention towards different features Implicit or explicit Assumes process is modified by directed attention • Assumes passive processing does not capture your variable of interest Example: implicit selective attention with parallel comparisons • Subjects hear pairs of sentences. • Task: judge if the sentences mean the same thing • Implicit Manipulation: sentences differ on semantic or syntactic basis – “The boy went to the store- The boy went to the market” – “The city is east of the lake. East of the city is the lake” • Comparisons: – Common baseline: each vs. rest – Parallel comparisons: semantic vs syntax and reverse EG Corbetta et al Selective attention to shape, color, motion Implicit Directed attenion • EG Dapretto et al • Instructions are the same; process required to reach a response differs • Syntax vs semantics: sentence comprehension task. – Do the sentences mean the same thing (Y N) – The boy has gone to the market. The boy has gone to the store – The city is east of the lake. East of the lake is the city. Dapretto and Bookheimer, Neuron, 1999 Parametric designs • Employs continuous variation in a stimulus/task parameter – E.g., working memory load, stimulus contrast • Inference: – Modulation of activity reflects sensitivity to the modulated parameter Boynton et al., 1996 Cohen et al., 1996 Priming/adaptation designs • Presentation of an item multiple times leads to changes in activity – Usually decreased activity upon repetition • Inference: – Regions showing decreased activity are sensitive to (i.e. represent) whatever stimulus features were repeated • Requires version of pure modulation assumption – Assumes that processing of specific features is reduced but that the task is otherwise qualitatively the same Can adaptation fMRI characterize neural representations? Two stimuli: can neurons tell the difference? • A voxel containing neurons that respond to all politicians, irrespective of party • A voxel containing some specifically Democratic neurons, and other specifically Republican neurons. From R. Raizada Neural adaptation to repeated stimuli does show the difference: What counts as repetition for neurons in a voxel? It’s a politician Same neurons, adapting: It’s a politician again It’s a Republican From R. Raizada Different, fresh neurons: It’s a Democrat Timing Blocked vs. Event-Related fMRI BLOCKED: SPACED MIXED TRIAL: RAPID MIXED TRIAL: From R. Buckner, HBM2001 Experimental Paradigm “Match” Block Length = 32.5 sec “Label” Control Total Scan Time = 4:53 min Match Affect Label Affect Y. Bookheimer, FromSusan Hariri et al 1999 Ph.D. Hariri et al., 1999 Event-Related Designs • Event-related or single trial experiments – Have stimuli presented 1 at a time rather than in blocks – Adjust for the hemodynamic response function – Bin like stimuli, obtain averaged HRF – Compare HRFs across stimulus types – Long ISI studies (15 seconds) allow for complete relaxation of HRF (implicit resting control) – Short ISI studies model additive response of like stimuli and adjust Directed vs. averted gaze Event-Related fMRI Design Optimized Random Sequence (Wager & Nichols 2003) TR = 3 s TR = 3 s 2s + + 2s + 2s ISI = 500-1500 ms Jitter = 0-500 ms Episodic Retrieval: R-K Distinction (Eldridge, Knowlton et al 2000) • Remember (R) - recognition with conscious recollection – Episodic memory • Know (K) - recognition without recollection – Non-episodic memory Left Hippocampus Anatomic ROI Two-Group Designs • Two-group designs – Hypothesis: groups differ in activation vs control comparisons – Different from resting state differences ala FDG – Performance confounds Accuracy 1 0 0 % correct 8 0 6 0 H ig h F u n c t io n in g A u t is t ic B o y s N o r m a lA d u lt s 4 0 2 0 0 M a t c h L a b e l C o n t r o l Directed vs. averted gaze TD: Directed vs Averted Gaze (negative emotions) Amygdala, hippocampus, Medial PFC, lateral PFC Visual and HC ASD Visual and HC No task modulation Between-group direct comparisons Direct TD > ASD Averted TD > ASD Functional Connectivity in fMRI Functional Connectivity Imaging Genetics • Growing Field • Examines differences in brain structure/function/connectivity as a result of possessing different genetic polymorphisms • Usually chosen for conferring risk for a disorder • Imaging differences seen in normal populations with different, common polymorphisms in the absence of obvious behavioral or phenotypic differences fMRI in normal subjects with genetic risk for AD Bookheimer, Small, et al, NEJM 2000 • Purpose: use fMRI to identify changes in brain function prior to significant cognitive decline; predict outcome • APOE-3 vs E-4 extremely healthy older volunteers (X=63.5; N=30) • Memory “stress-test” in cognitively normal elderly – Memorize unrelated word pairs “justice-club” – Scans compare learning/retrieval vs. control Group Analysis: Effect of Genotype 5HTT and imaging Amygdala response: 5HTT short allele > Long allele Cohort 1 Cohort 2 Applications • Mapping normal functions: within group • Clinical applications: between group designs – – – – Surgical planning AD/AD risk Drug interventions Psychiatric disorders Clinical Applications: Neurosurgical planning • • • • Goal: Identify critical areas Task specificity issues Disruption by the lesion Language performance Stimulation Points- 1 cm Recording Strips Language Tasks • Object Naming – Finding a name; expression – Used in OR; alternate forms; reveals Broca’s area and Basal temporal language area • Auditory Naming Smell with this Color of grass “nose” “green” – Finding a name; comprehension, expression Conjunction Analysis • Within task, repeat conditions (3 times) • Across tasks, find areas of overlap • Perform separately for receptive, expressive tasks • Allows low magnitude activations that are consistent to show. Areas of conjunction Pharmaco- fMRI • Use fMRI to identify brain changes associated with treatment • Eg, Acetylcholine agonist treatment may improve memory in AD • fMRI Pre- and post-treatment with Aricept Donepezil Treatment- Mild AD Pre-Treatment Post-Treatment Related Paired-Associate Learning vs. Rest fMRI in Psychiatric populations • • • • • Panic disorder Social anxiety ADHD Autism Bipolar Panic Disorder- symptom provocation Social Anxiety and amygdala arousal Guyer et al, Arch Gen Psychiatry. 2008 65(11): 1303–1312. Simulated online “chat” in social anxiety and control adolescents Amygdala hyperarousal in social anxiety disordered children Susan Y. Bookheimer, Ph.D. Disgust and Threat Responses in OCD (Shapira et al, Biol Psychiatry. 2003) Disgust Threat Control OCD Susan Y. Bookheimer, Ph.D. Bipolar Disorder- Mania Altshuler et al 2005 Summary • Numerous applications for fMRI in translational research • Elucidate normal brain systems • Help identify circuits impaired in patient populations • Numerous new techniques