4.5 Article

Independent components in stimulus-related BOLD signals and estimation of the underlying neural responses

期刊

BRAIN RESEARCH
卷 1229, 期 -, 页码 72-89

出版社

ELSEVIER
DOI: 10.1016/j.brainres.2008.06.050

关键词

fMRI; independent components analysis; neural; primary visual cortex

资金

  1. NEI NIH HHS [R01 EY007890, R01 EY013025, EY 7890] Funding Source: Medline
  2. NINDS NIH HHS [R01 NS027900, NS 27900-12] Funding Source: Medline
  3. Wellcome Trust [088130] Funding Source: Medline

向作者/读者索取更多资源

We measured blood oxygen level dependent (BOLD) responses to the onset of dynamic noise stimulation in defined regions of the primary retinotopic projection (Vi) in visual cortex. The response waveforms showed a remarkable diversity across stimulus types, violating the basic assumption of a unitary general linear model of a uniform BOLD response function convolved with each stimulus sequence. We used independent component analysis (ICA) to analyze the component mechanisms contributing to these responses. The underlying neural responses for the components were estimated by nonlinear optimization through the Friston-Buxton hemodynamic model of the BOLD response. our analysis suggests that one of the identified components reflected a sustained neural response to the stimulus and that another reflected an extremely slow neural response. A third component exhibited nonlinear change-specific transient responses. The first two components showed stable spatial structure in the V1 region of interest with respect to the eccentricity of the noise stimulus. (C) 2008 Elsevier B.V. All rights reserved.

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