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Research course on functional magnetic resonance imaging (non-invasive brain imaging)
Juha Salmitaival
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Outline MRI safety course Introductory lectures (next week F227!)
Scanning (2 sessions for each participant) Preprocessing Data-analysis Writing a research report Note! You will not be able to plan and prepare the studies yourselves -> 5 cr
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Today’s lecture Overview of the stages in an fMRI study MRI signal
BOLD hemodynamics & physiology MRI protocol Scanning settings MRI images Some artefacts FSL introduction Brain extraction Introduction -Cognitive Science & Neurobiology (not physics)
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Stages of an fMRI study Research plan, funding
Ethical permission (HUCH) and research permission (AMI centre) Setting up the experiment (stimulation, MRI protocol) and piloting Collecting the data Data-analysis Preprocessing (motion correction, spatial/temporal filtering, brain extraction) Data-analysis (model-based, e.g., GLM, data-driven, e.g., ICA, ISC) Writing a manuscript
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MRI signal T1 = realignment with the magnetic field
B0 field (e.g., 3T) Larmor frequency RF excitation / relaxation T1 = realignment with the magnetic field T2 = emission of energy T2* = sensitive to inhomogeneties in the magnetic field Relaxation is recorded with a head coil Relaxation times are tissue specific
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MRI signal Summary of MRI Gradient field MORE INFORMATION:
Gradient fields have three directions: slice selection, phase encoding, frequency encoding Gradients change the precession frequency as a function of a location along the gradient axis MORE INFORMATION:
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BOLD hemodynamics BOLD (blood oxygenation dependent) signal
It takes about 4-6 seconds to reach its peak HRF varies between subjects and brain region
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BOLD physiology Neuronal activity Energy consumption LFP and BOLD
Metabolic pathway (local)
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From neuronal activity to MRI signal
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MRI protocol MRI sequence (RF excitation, gradient pulses)
Localizer, epi-sequence, anatomical sequence TR (1.5 – 4 sec.), slice thickness (2-5 mm), number of slices (1-50), aquisition matrix (64 x 64 – 192 x 192), FOV, number of samples Continuous imaging (jitter?) or sparse temporal sampling
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Scanning ”settings” Fat suppression
Spectral spatial RF pulse minimum slice thickeness 3mm Spectral RF (slice thickness < 3 mm) Shimming (fMRI autoshim, DTI HOS - manual) Optimizing the homogeneity of the B0 field Correction of the inhomogeneity can also be done Prescan (use auto prescan) Optimal resonance frequency, adjusting transmit and receiver gain
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MRI image Voxel (pixel in 3d) Volume (sample)
Slice thickness x FOV/matrix x FOV/matrix (in-plane resolution) Volume (sample) E.g., 30 x 64 x 64 4d image (typically > 100 MB, < 2 GB) Formats: dicom, analyze, nifti, nifti gz
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Anatomical and slice directions
Anatomical directions Superior-inferior (head-foot) Anterior-posterior (front-back) Dorsal-ventral (back-front) Right-left Slice directions Oblique planes can be scanned as well Axial Coronal Sagittal
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Artefacts (some of those)
Movement Cross-talk Aliasing Chemical shift Susceptibility artefact Nyquist ghosting Geometric distortion
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Image preparation Dicom2nifti conversion (dcm2niigui) Image viewing
Output: FSL (4D NifTI) or Compressed FSL Image viewing Fslview ( MRIcron ( Data check Orientation, artefacts
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Toolbox selection Stimulus presentation Data-analysis
Presentation (nbs) E-prime Matlab Data-analysis FSL SPM Brain voyager Freesurfer AFNI GIFT Remember to add FSL to your bash
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Homework - FSL Introduction
Website ( FSLUTILS fslinfo fslmaths BET FLIRT/FNIRT FEAT MELODIC
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Brain extraction Needed for image registration and artifact rejection
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References & Images FSL-course SPM-course
SPM-course
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