Literature DB >> 25106392

A survey of the sources of noise in fMRI.

Douglas N Greve1, Gregory G Brown, Bryon A Mueller, Gary Glover, Thomas T Liu.   

Abstract

Functional magnetic resonance imaging (fMRI) is a noninvasive method for measuring brain function by correlating temporal changes in local cerebral blood oxygenation with behavioral measures. fMRI is used to study individuals at single time points, across multiple time points (with or without intervention), as well as to examine the variation of brain function across normal and ill populations. fMRI may be collected at multiple sites and then pooled into a single analysis. This paper describes how fMRI data is analyzed at each of these levels and describes the noise sources introduced at each level.

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Year:  2012        PMID: 25106392     DOI: 10.1007/s11336-012-9294-0

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  73 in total

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Authors:  Thomas T Liu; Lawrence R Frank
Journal:  Neuroimage       Date:  2004-01       Impact factor: 6.556

3.  A unified statistical approach for determining significant signals in images of cerebral activation.

Authors:  K J Worsley; S Marrett; P Neelin; A C Vandal; K J Friston; A C Evans
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4.  Fractional Gaussian noise, functional MRI and Alzheimer's disease.

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Journal:  Neuroimage       Date:  2005-01-21       Impact factor: 6.556

Review 5.  Report on a multicenter fMRI quality assurance protocol.

Authors:  Lee Friedman; Gary H Glover
Journal:  J Magn Reson Imaging       Date:  2006-06       Impact factor: 4.813

Review 6.  Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies.

Authors:  Gary H Glover; Bryon A Mueller; Jessica A Turner; Theo G M van Erp; Thomas T Liu; Douglas N Greve; James T Voyvodic; Jerod Rasmussen; Gregory G Brown; David B Keator; Vince D Calhoun; Hyo Jong Lee; Judith M Ford; Daniel H Mathalon; Michele Diaz; Daniel S O'Leary; Syam Gadde; Adrian Preda; Kelvin O Lim; Cynthia G Wible; Hal S Stern; Aysenil Belger; Gregory McCarthy; Burak Ozyurt; Steven G Potkin
Journal:  J Magn Reson Imaging       Date:  2012-02-07       Impact factor: 4.813

7.  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

8.  Characterizing evoked hemodynamics with fMRI.

Authors:  K J Friston; C D Frith; R Turner; R S Frackowiak
Journal:  Neuroimage       Date:  1995-06       Impact factor: 6.556

9.  Caffeine alters the temporal dynamics of the visual BOLD response.

Authors:  Thomas T Liu; Yashar Behzadi; Khaled Restom; Kamil Uludag; Kun Lu; Giedrius T Buracas; David J Dubowitz; Richard B Buxton
Journal:  Neuroimage       Date:  2004-12       Impact factor: 6.556

10.  Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach.

Authors:  Martin M Monti
Journal:  Front Hum Neurosci       Date:  2011-03-18       Impact factor: 3.169

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  21 in total

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Journal:  Psychometrika       Date:  2015-02-20       Impact factor: 2.500

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Journal:  Psychometrika       Date:  2013-04       Impact factor: 2.500

5.  HIV infection is associated with attenuated frontostriatal intrinsic connectivity: a preliminary study.

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6.  Evaluation of multi-echo ICA denoising for task based fMRI studies: Block designs, rapid event-related designs, and cardiac-gated fMRI.

Authors:  Javier Gonzalez-Castillo; Puja Panwar; Laura C Buchanan; Cesar Caballero-Gaudes; Daniel A Handwerker; David C Jangraw; Valentinos Zachariou; Souheil Inati; Vinai Roopchansingh; John A Derbyshire; Peter A Bandettini
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7.  Using Functional Connectivity Magnetic Resonance Imaging to Measure Brain Connectivity in Preterm Infants.

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8.  Learning-based structurally-guided construction of resting-state functional correlation tensors.

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9.  Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states.

Authors:  Sadia Shakil; Chin-Hui Lee; Shella Dawn Keilholz
Journal:  Neuroimage       Date:  2016-03-04       Impact factor: 6.556

Review 10.  Building a Science of Individual Differences from fMRI.

Authors:  Julien Dubois; Ralph Adolphs
Journal:  Trends Cogn Sci       Date:  2016-04-30       Impact factor: 20.229

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