Literature DB >> 11435932

The distribution of BOLD susceptibility effects in the brain is non-Gaussian.

S J Hanson1, B M Bly.   

Abstract

A key assumption underlying fMRI analysis in the general linear model is that the underlying distribution of BOLD Susceptibility is gaussian. Analysis of several common data sets and experimental paradigms shows that the underlying distribution for the BOLD signal is non-Gaussian. Further identification shows that the distribution is probably Gamma and implications for hemodynamic modeling are discussed as well as recommendations concerning inferential testing in heavy-tailed environments.

Mesh:

Substances:

Year:  2001        PMID: 11435932     DOI: 10.1097/00001756-200107030-00039

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  6 in total

1.  Logarithmic transformation for high-field BOLD fMRI data.

Authors:  Scott M Lewis; Trenton A Jerde; Charidimos Tzagarakis; Pavlos Gourtzelidis; Maria-Alexandra Georgopoulos; Nikolaos Tsekos; Bagrat Amirikian; Seong-Gi Kim; Kâmil Uğurbil; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2005-07-15       Impact factor: 1.972

2.  Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task.

Authors:  S J Hanson; A D Gagliardi; C Hanson
Journal:  J Comput Neurosci       Date:  2008-12-23       Impact factor: 1.621

3.  The RUMBA software: tools for neuroimaging data analysis.

Authors:  Benjamin Martin Bly; Donovan Rebbechi; Stephen Jose Hanson; Giorgio Grasso
Journal:  Neuroinformatics       Date:  2004

4.  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

5.  Nonlinear Bayesian estimation of BOLD signal under non-Gaussian noise.

Authors:  Ali Fahim Khan; Muhammad Shahzad Younis; Khalid Bashir Bajwa
Journal:  Comput Math Methods Med       Date:  2015-01-26       Impact factor: 2.238

6.  The Failure of Blobology: fMRI Misinterpretation, Maleficience and Muddle.

Authors:  Stephen José Hanson
Journal:  Front Hum Neurosci       Date:  2022-04-08       Impact factor: 3.169

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.