'Hemodynamic response function' diaporamas de présentation

Our entry in the Functional Imaging Analysis contest

668 views • 58 slides

Optimization of Designs for fMRI

Optimization of Designs for fMRI. IPAM Mathematics in Brain Imaging Summer School July 18, 2008. Thomas Liu, Ph.D. UCSD Center for Functional MRI. Why optimize?. Scans are expensive. Subjects can be difficult to find. fMRI data are noisy

688 views • 56 slides

Data Modeling General Linear Model & Statistical Inference

Data Modeling General Linear Model & Statistical Inference. Thomas Nichols, Ph.D. Assistant Professor Department of Biostatistics http://www.sph.umich.edu/~nichols Brain Function and fMRI ISMRM Educational Course July 11, 2002. Motivations. Data Modeling Characterize Signal

590 views • 46 slides

The General Linear Model (GLM)

The General Linear Model (GLM). 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

463 views • 31 slides

Joint Detection-Estimation of Brain Activity in fMRI using Graph Cuts

Joint Detection-Estimation of Brain Activity in fMRI using Graph Cuts. Joana Maria Rosado da Silva Coelho. Thesis for the Master degree in Biomedical Engineering Lisbon, 30 th October 2008. Contents:. functional MRI:.

397 views • 26 slides

The General Linear Model

703 views • 22 slides

The General Linear Model

The General Linear Model. Christophe Phillips. SPM Short Course London, May 2013. Image time-series. Statistical Parametric Map. Design matrix. Spatial filter. Realignment. Smoothing. General Linear Model. Statistical Inference. RFT. Normalisation. p <0.05. Anatomical reference.

351 views • 20 slides

Participants

Negative BOLD and Aging: An fMRI Investigation K.M. McGregor 1,2 , K.D. White 1,2,3 , M. Benjamin 1,3 , W.K. Berg 2 , I. Fischler 2 , J. Craggs 3 , B. Crosson 1,3

99 views • 1 slides