Literature DB >> 22655113

Longitudinal fMRI analysis: A review of methods.

Martha Skup1.   

Abstract

Functional magnetic resonance imaging (fMRI) investigations of a longitudinal nature, where participants are scanned repeatedly over time and imaging data are obtained at more than one time-point, are essential to understanding functional changes and development in healthy and pathological brains. The main objective of this paper is to provide a brief summary of common longitudinal analysis approaches, develop an overview of fMRI by introducing how such data manifest, and explore the statistical challenges that arise at the intersection of these two techniques.

Entities:  

Year:  2010        PMID: 22655113      PMCID: PMC3362048     

Source DB:  PubMed          Journal:  Stat Interface        ISSN: 1938-7989            Impact factor:   0.582


  62 in total

1.  On clustering fMRI time series.

Authors:  C Goutte; P Toft; E Rostrup; F Nielsen; L K Hansen
Journal:  Neuroimage       Date:  1999-03       Impact factor: 6.556

2.  A new statistical approach to detecting significant activation in functional MRI.

Authors:  J L Marchini; B D Ripley
Journal:  Neuroimage       Date:  2000-10       Impact factor: 6.556

3.  Dynamical components analysis of fMRI data through kernel PCA.

Authors:  Bertrand Thirion; Olivier Faugeras
Journal:  Neuroimage       Date:  2003-09       Impact factor: 6.556

4.  Improving the spatial specificity of canonical correlation analysis in fMRI.

Authors:  Rajesh Nandy; Dietmar Cordes
Journal:  Magn Reson Med       Date:  2004-10       Impact factor: 4.668

5.  Time series analysis in the time domain and resampling methods for studies of functional magnetic resonance brain imaging.

Authors:  J J Locascio; P J Jennings; C I Moore; S Corkin
Journal:  Hum Brain Mapp       Date:  1997       Impact factor: 5.038

Review 6.  Modeling and inference of multisubject fMRI data.

Authors:  Jeanette A Mumford; Thomas Nichols
Journal:  IEEE Eng Med Biol Mag       Date:  2006 Mar-Apr

7.  Analysis of fMRI data by blind separation into independent spatial components.

Authors:  M J McKeown; S Makeig; G G Brown; T P Jung; S S Kindermann; A J Bell; T J Sejnowski
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

8.  The variability of human, BOLD hemodynamic responses.

Authors:  G K Aguirre; E Zarahn; M D'esposito
Journal:  Neuroimage       Date:  1998-11       Impact factor: 6.556

9.  Issues in the analysis of repeated categorical outcomes.

Authors:  J H Ware; S Lipsitz; F E Speizer
Journal:  Stat Med       Date:  1988 Jan-Feb       Impact factor: 2.373

10.  Resting-state networks in the infant brain.

Authors:  Peter Fransson; Beatrice Skiöld; Sandra Horsch; Anders Nordell; Mats Blennow; Hugo Lagercrantz; Ulrika Aden
Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-18       Impact factor: 11.205

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