Literature DB >> 36261655

Reconstruction of time-shifted hemodynamic response.

Bärbel Herrnberger1.   

Abstract

Regression of voxel time course onto expected response is a standard procedure in functional magnetic resonance imaging that relies on exact onset time and shape of superimposed hemodynamic response functions. Elegant capture of time deviation by time derivative regressors appears complicated by shape distortion and limited to ±1 s, and is usually not exploited for reconstructing the true time-shifted response function together with its magnitude. This analysis of the time-derivative approach provides closed-form functional relations between time shift and regression coefficients that allow for hemodynamic shifts of ±5 s and can explain shape distortion and reconstruction behavior. Reliable absolute latencies were no smaller than 0.6 s in a best-case experiment. Confusions of latency are a previously undiscussed shortcoming where current limitation strategy may eliminate correct latencies and protect incorrect ones.
© 2022. The Author(s).

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Year:  2022        PMID: 36261655      PMCID: PMC9581965          DOI: 10.1038/s41598-022-17601-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  28 in total

1.  Temporal properties of the hemodynamic response in functional MRI.

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3.  fMRI analysis with the general linear model: removal of latency-induced amplitude bias by incorporation of hemodynamic derivative terms.

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Authors:  Mark W Woolrich; Timothy E J Behrens; Stephen M Smith
Journal:  Neuroimage       Date:  2004-04       Impact factor: 6.556

5.  Delayed rather than decreased BOLD response as a marker for early Alzheimer's disease.

Authors:  Serge A R B Rombouts; Rutger Goekoop; Cornelis J Stam; Frederik Barkhof; Philip Scheltens
Journal:  Neuroimage       Date:  2005-04-26       Impact factor: 6.556

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Authors:  R B Buxton; E C Wong; L R Frank
Journal:  Magn Reson Med       Date:  1998-06       Impact factor: 4.668

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.  Parametric analysis of fMRI data using linear systems methods.

Authors:  M S Cohen
Journal:  Neuroimage       Date:  1997-08       Impact factor: 6.556

9.  Investigating hemodynamic response variability at the group level using basis functions.

Authors:  Jason Steffener; Matthias Tabert; Aaron Reuben; Yaakov Stern
Journal:  Neuroimage       Date:  2009-11-12       Impact factor: 6.556

10.  Pros and Cons of Using the Informed Basis Set to Account for Hemodynamic Response Variability with Developmental Data.

Authors:  Fabien Cignetti; Emilie Salvia; Jean-Luc Anton; Marie-Hélène Grosbras; Christine Assaiante
Journal:  Front Neurosci       Date:  2016-07-15       Impact factor: 4.677

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