Literature DB >> 22366081

The continuing challenge of understanding and modeling hemodynamic variation in fMRI.

Daniel A Handwerker1, Javier Gonzalez-Castillo, Mark D'Esposito, Peter A Bandettini.   

Abstract

Interpretation of fMRI data depends on our ability to understand or model the shape of the hemodynamic response (HR) to a neural event. Although the HR has been studied almost since the beginning of fMRI, we are still far from having robust methods to account for the full range of known HR variation in typical fMRI analyses. This paper reviews how the authors and others contributed to our understanding of HR variation. We present an overview of studies that describe HR variation across voxels, healthy volunteers, populations, and dietary or pharmaceutical modulations. We also describe efforts to minimize the effects of HR variation in intrasubject, group, population, and connectivity analyses and the limits of these methods. Published by Elsevier Inc.

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Year:  2012        PMID: 22366081      PMCID: PMC4180210          DOI: 10.1016/j.neuroimage.2012.02.015

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  53 in total

1.  The effects of aging upon the hemodynamic response measured by functional MRI.

Authors:  S A Huettel; J D Singerman; G McCarthy
Journal:  Neuroimage       Date:  2001-01       Impact factor: 6.556

2.  Spatial heterogeneity of the nonlinear dynamics in the FMRI BOLD response.

Authors:  R M Birn; Z S Saad; P A Bandettini
Journal:  Neuroimage       Date:  2001-10       Impact factor: 6.556

3.  Detection and quantification of a wide range of fMRI temporal responses using a physiologically-motivated basis set.

Authors:  Michael P Harms; Jennifer R Melcher
Journal:  Hum Brain Mapp       Date:  2003-11       Impact factor: 5.038

4.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.

Authors:  K K Kwong; J W Belliveau; D A Chesler; I E Goldberg; R M Weisskoff; B P Poncelet; D N Kennedy; B E Hoppel; M S Cohen; R Turner
Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-15       Impact factor: 11.205

5.  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

6.  A hypercapnia-based normalization method for improved spatial localization of human brain activation with fMRI.

Authors:  P A Bandettini; E C Wong
Journal:  NMR Biomed       Date:  1997 Jun-Aug       Impact factor: 4.044

7.  Direct imaging of macrovascular and microvascular contributions to BOLD fMRI in layers IV-V of the rat whisker-barrel cortex.

Authors:  Xin Yu; Daniel Glen; Shumin Wang; Stephen Dodd; Yoshiyuki Hirano; Ziad Saad; Richard Reynolds; Afonso C Silva; Alan P Koretsky
Journal:  Neuroimage       Date:  2011-08-07       Impact factor: 6.556

8.  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

9.  The influence of extra- and intracranial artery disease on the BOLD signal in FMRI.

Authors:  Farsin Hamzei; René Knab; Cornelius Weiller; Joachim Röther
Journal:  Neuroimage       Date:  2003-10       Impact factor: 6.556

10.  Caffeine-induced uncoupling of cerebral blood flow and oxygen metabolism: a calibrated BOLD fMRI study.

Authors:  Joanna E Perthen; Amy E Lansing; Joy Liau; Thomas T Liu; Richard B Buxton
Journal:  Neuroimage       Date:  2007-11-12       Impact factor: 6.556

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  59 in total

1.  Brain mechanisms for simple perception and bistable perception.

Authors:  Megan Wang; Daniel Arteaga; Biyu J He
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-13       Impact factor: 11.205

2.  Modeling of the hemodynamic responses in block design fMRI studies.

Authors:  Zuyao Y Shan; Margaret J Wright; Paul M Thompson; Katie L McMahon; Gabriella G A M Blokland; Greig I de Zubicaray; Nicholas G Martin; Anna A E Vinkhuyzen; David C Reutens
Journal:  J Cereb Blood Flow Metab       Date:  2013-11-20       Impact factor: 6.200

Review 3.  Beyond BOLD: optimizing functional imaging in stroke populations.

Authors:  Michele Veldsman; Toby Cumming; Amy Brodtmann
Journal:  Hum Brain Mapp       Date:  2014-12-02       Impact factor: 5.038

4.  Early disrupted neurovascular coupling and changed event level hemodynamic response function in type 2 diabetes: an fMRI study.

Authors:  João V Duarte; João M S Pereira; Bruno Quendera; Miguel Raimundo; Carolina Moreno; Leonor Gomes; Francisco Carrilho; Miguel Castelo-Branco
Journal:  J Cereb Blood Flow Metab       Date:  2015-06-10       Impact factor: 6.200

5.  Granger causality analysis in neuroscience and neuroimaging.

Authors:  Anil K Seth; Adam B Barrett; Lionel Barnett
Journal:  J Neurosci       Date:  2015-02-25       Impact factor: 6.167

6.  On the analysis of rapidly sampled fMRI data.

Authors:  Jingyuan E Chen; Jonathan R Polimeni; Saskia Bollmann; Gary H Glover
Journal:  Neuroimage       Date:  2019-02-05       Impact factor: 6.556

7.  Between- and within-site variability of fMRI localizations.

Authors:  Jakob Rath; Moritz Wurnig; Florian Fischmeister; Nicolaus Klinger; Ilse Höllinger; Alexander Geißler; Markus Aichhorn; Thomas Foki; Martin Kronbichler; Janpeter Nickel; Christian Siedentopf; Wolfgang Staffen; Michael Verius; Stefan Golaszewski; Florian Koppelstaetter; Eduard Auff; Stephan Felber; Rüdiger J Seitz; Roland Beisteiner
Journal:  Hum Brain Mapp       Date:  2016-03-09       Impact factor: 5.038

8.  Delta Rhythm Orchestrates the Neural Activity Underlying the Resting State BOLD Signal via Phase-amplitude Coupling.

Authors:  Saul Jaime; Hong Gu; Brian F Sadacca; Elliot A Stein; Jose E Cavazos; Yihong Yang; Hanbing Lu
Journal:  Cereb Cortex       Date:  2019-01-01       Impact factor: 5.357

9.  BOLD fractional contribution to resting-state functional connectivity above 0.1 Hz.

Authors:  Jingyuan E Chen; Gary H Glover
Journal:  Neuroimage       Date:  2014-12-12       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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