Analysis of fMRI data with linear models

Aug 07, 2012

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Typical fMRI processing steps. Image reconstructionSlice time correctionMotion correctionTemporal filtering1st level (individual subject) linear modelingConversion to % signal changeImage normalisation (Talairach/MNI)Spatial blurring2nd level (group) linear modelingExtraction of activated"

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Analysis of fMRI data with linear models

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1. Analysis of fMRI data with linear models

2. Typical fMRI processing steps Image reconstruction Slice time correction Motion correction Temporal filtering 1st level (individual subject) linear modeling Conversion to % signal change Image normalisation (Talairach/MNI) Spatial blurring 2nd level (group) linear modeling Extraction of �activated� clusters

3. Typical fMRI processing steps Image reconstruction Slice time correction Motion correction Temporal filtering 1st level (individual subject) linear modeling Conversion to % signal change Image normalisation (Talairach/MNI) Spatial blurring 2nd level (group) linear modeling Extraction of �activated� clusters

4. 1st level linear modeling

FMRI Data Analysis: I. Basic Analyses and the General Linear Model

FMRI Data Analysis: I. Basic Analyses and the General Linear Model. FMRI Undergraduate Course (PSY 181F) FMRI Graduate Course (NBIO 381, PSY 362) Dr. Scott Huettel, Course Director . When do we not need statistical analysis?. Inter-ocular Trauma Test (Lockhead, personal communication).

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fMRI data analysis at CCBI

fMRI data analysis at CCBI. Vladimir Cherkassky. Detection of Activated Voxels. Always performed on a voxel-to-voxel basis T-test comparing mean values during two experimental conditions (FIASCO) Covariance of the time course with the paradigm function (SPM, Voxcor.id, etc.)

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fMRI Data Analysis

fMRI Data Analysis . Sonia Pujol, Ph.D. Wendy Plesniak, Ph.D. Randy Gollub, M.D., Ph.D. Acknowledgments. National Alliance for Medical Image Computing NIH U54EB005149 Neuroimage Analysis Center NIH P41RR013218 FIRST Biomedical Informatics Research Network NCRR/NIH 5 MOI RR 000827

1.43k views • 109 slides

The statistical analysis of fMRI data

The statistical analysis of fMRI data. Keith Worsley 12 , Chuanhong Liao 1 , John Aston 123 , Jean-Baptiste Poline 4 , Gary Duncan 5 , Vali Petre 2 , Frank Morales 6 , Alan Evans 2 , Tom Nichols 7 , Satoru Hayasaki 8 , Jonathan Taylor 9

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fMRI Analysis with emphasis on the General Linear Model

fMRI Analysis with emphasis on the General Linear Model. Jody Culham Brain and Mind Institute Department of Psychology University of Western Ontario. http://www.fmri4newbies.com/. Last Update: January 18, 2012 Last Course: Psychology 9223, W2010, University of Western Ontario. Part 1.

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Multivariate models for fMRI data

Klaas Enno Stephan (with 90% of slides kindly contributed by Kay H. Brodersen ) Translational Neuromodeling Unit (TNU) Institute for Biomedical Engineering University of Zurich & ETH Zurich. Multivariate models for fMRI data. Why multivariate?.

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Bayesian models for fMRI data

Bayesian models for fMRI data. Klaas Enno Stephan Translational Neuromodeling Unit (TNU) Institute for Biomedical Engineering, University of Zurich & ETH Zurich Laboratory for Social & Neural Systems Research (SNS), University of Zurich

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Data Mining – Algorithms: Linear Models

Data Mining – Algorithms: Linear Models. Chapter 4, Section 4.6. Numeric Attributes. Numeric prediction and/ or numeric attributes as predictors Linear regression is well established statistical technique Designed to predict numeric value based on numeric attributes

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FMRI Data Analysis: I. Basic Analyses and the General Linear Model

FMRI Data Analysis: I. Basic Analyses and the General Linear Model. FMRI Graduate Course (NBIO 381, PSY 362) Dr. Scott Huettel, Course Director. When do we not need statistical analysis?. Inter-ocular Trauma Test (Lockhead, personal communication). Why use statistical analyses?.

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Analysis of topographic maps from fMRI data

Analysis of topographic maps from fMRI data. Thomas S. Reid, Department of Physics Anthony I. Jack, Department of Cognitive Science Robert W. Brown, Department of Physics Case Western Reserve University 10900 Euclid Avenue Cleveland, OH 44106. DEPARTMENT OF PHYSICS. Brain, Mind and

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fMRI Data Analysis in Slicer

fMRI Data Analysis in Slicer. Steve Pieper Haiying Liu Wendy Plesniak Sandy Wells. Load Image Sequence. 1: Go to Ibrowser Module. 2: Pick Load Tab. 3: Click File Browse. 4: Pick Any File. 5: Click Load Multiple Files. 6: Input a Filter. 7: Input a Sequence Name. 8: Click Apply.

225 views • 12 slides

Hidden Process Models for Analyzing fMRI Data

Hidden Process Models for Analyzing fMRI Data. Rebecca Hutchinson Joint work with Tom Mitchell May 11, 2007 Student Seminar Series In partial fulfillment of the Speaking Requirement Carnegie Mellon University Computer Science Department. Introduction. Hidden Process Models (HPMs):

449 views • 34 slides

Analysis of FMRI Data: Principles and Practice

Analysis of FMRI Data: Principles and Practice. Robert W Cox , PhD Scientific and Statistical Computing Core National Institute of Mental Health Bethesda, MD http://afni.nimh.nih.gov. Principles: Modeling. Data analysis always takes place in the context of a mathematical model

270 views • 11 slides

FMRI Data Analysis: II. Advanced Data Analysis

FMRI Data Analysis: II. Advanced Data Analysis. FMRI Undergraduate Course (PSY 181F) FMRI Graduate Course (NBIO 381, PSY 362) Dr. Scott Huettel, Course Director. Advanced Data Analyses. Complex modeling Analyses of Connectivity Functional Connectivity Analysis Causality analysis

615 views • 38 slides

Data Analysis for fMRI

Data Analysis for fMRI. Computational Analyses of Brain Imaging CALD 10-731 and Psychology 85-735 Tom M. Mitchell and Marcel Just January 15, 2003. Ten Minutes of Activity for One Voxel. Indicates experimental condition. …. fMRI Data Visualization [from W. Schneider]. Slice View.

552 views • 36 slides

Methods & models for fMRI data analysis – HS 2013

Methods & models for fMRI data analysis – HS 2013. David Cole Andrea Diaconescu Jakob Heinzle Sandra Iglesias Sudhir Shankar Raman Klaas Enno Stephan. Methods & models for fMRI data analysis. Room: ETZ F91 Time: Fri, 12:00 – 13:30. Schedule:

262 views • 9 slides

Bayesian models for fMRI data

Bayesian models for fMRI data. Klaas Enno Stephan Laboratory for Social and Neural Systems Research Institute for Empirical Research in Economics University of Zurich Functional Imaging Laboratory (FIL) Wellcome Trust Centre for Neuroimaging University College London.

601 views • 41 slides

fMRI Data Analysis

fMRI Data Analysis. Sonia Pujol, Ph.D. Wendy Plesniak, Ph.D. Randy Gollub, M.D., Ph.D. Acknowledgments. National Alliance for Medical Image Computing NIH U54EB005149 Neuroimage Analysis Center NIH P41RR013218 FIRST Biomedical Informatics Research Network NCRR/NIH 5 MOI RR 000827

1.11k views • 109 slides

FMRI Data Analysis: I. Basic Analyses and the General Linear Model

547 views • 54 slides

FMRI Data Analysis: I. Basic Analyses and the General Linear Model

FMRI Data Analysis: I. Basic Analyses and the General Linear Model. FMRI Undergraduate Course (PSY 181F) FMRI Graduate Course (NBIO 381, PSY 362) Dr. Scott Huettel, Course Director. When do we not need statistical analysis?. Inter-ocular Trauma Test (Lockhead, personal communication).

526 views • 51 slides

The statistical analysis of fMRI data

589 views • 58 slides

Batch Programming of fMRI Data Analysis

Batch Programming of fMRI Data Analysis. Lars Kasper & Christoph Mathys. Overview. Introduction & Example Dataset General fMRI Data Analysis Workflow with SPM Quality Assessment of Raw Data Spatial Preprocessing Statistical Design: The General Linear Model

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Analysis of fMRI data with linear models

Analysis of fMRI data with linear models

Presentation Transcript

FMRI Data Analysis: I. Basic Analyses and the General Linear Model

fMRI data analysis at CCBI

fMRI Data Analysis

The statistical analysis of fMRI data

fMRI Analysis with emphasis on the General Linear Model

Multivariate models for fMRI data

Bayesian models for fMRI data

Data Mining – Algorithms: Linear Models

FMRI Data Analysis: I. Basic Analyses and the General Linear Model

Analysis of topographic maps from fMRI data

fMRI Data Analysis in Slicer

Hidden Process Models for Analyzing fMRI Data

Analysis of FMRI Data: Principles and Practice

FMRI Data Analysis: II. Advanced Data Analysis

Data Analysis for fMRI

Methods &amp; models for fMRI data analysis – HS 2013

Bayesian models for fMRI data

fMRI Data Analysis

FMRI Data Analysis: I. Basic Analyses and the General Linear Model

FMRI Data Analysis: I. Basic Analyses and the General Linear Model

The statistical analysis of fMRI data

Batch Programming of fMRI Data Analysis

Methods & models for fMRI data analysis – HS 2013