Literature DB >> 20406693

Hemodynamic signals not predicted? Not so: a comment on Sirotin and Das (2009).

Daniel A Handwerker1, Peter A Bandettini.   

Abstract

In their 2009 Nature article: "Anticipatory haemodynamic signals in sensory cortex not predicted by local neuronal activity," Yevginiy Sirotin and Aniruddha Das suggest that hemodynamic signals, the basis of functional MRI (fMRI), can arise without any measurable neuronal activity. They report that hemodynamic signals in visual cortex were associated with and time-locked to the anticipation of a visual stimulus, and importantly, without any associated neuronal activity as measured with direct electrophysiological recordings. In this commentary, we demonstrate, using an assessment of their own data, that their claims are not strongly supported. In fact, we found that specific LFP frequency ranges predicted with a high degree of accuracy, the "dark" or "anticipatory" hemodynamic response. For other frequency ranges, we found differences in phase but not magnitude of the measured and predicted hemodynamic response. Importantly, when comparing simply the magnitude as well as the time series standard deviation of the electrophysiological recordings with those of the measured hemodynamic responses, we found a direct correspondence of the dark/stimulated magnitude and standard deviation between the electrophysiological recordings and the hemodynamic responses. All of these analyses strongly imply that anticipatory hemodynamic responses are, in fact, accurately predicted in phase and magnitude by several LFP frequency bands, and are predicted in standard deviation and magnitude by the standard deviation and magnitude of even a wider range of LFP frequencies. We argue that rather than casting doubt on fMRI signal changes, these studies open up an interesting window into exploring more subtle neurovascular relationships. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2010        PMID: 20406693      PMCID: PMC3172081          DOI: 10.1016/j.neuroimage.2010.04.037

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


  3 in total

1.  Hemodynamic signals correlate tightly with synchronized gamma oscillations.

Authors:  Jörn Niessing; Boris Ebisch; Kerstin E Schmidt; Michael Niessing; Wolf Singer; Ralf A W Galuske
Journal:  Science       Date:  2005-08-05       Impact factor: 47.728

2.  The blind, the lame, and the poor signals of brain function--a comment on Sirotin and Das (2009).

Authors:  Andreas Kleinschmidt; Notger G Müller
Journal:  Neuroimage       Date:  2010-01-04       Impact factor: 6.556

3.  Anticipatory haemodynamic signals in sensory cortex not predicted by local neuronal activity.

Authors:  Yevgeniy B Sirotin; Aniruddha Das
Journal:  Nature       Date:  2009-01-22       Impact factor: 49.962

  3 in total
  15 in total

1.  Attention strongly increases oxygen metabolic response to stimulus in primary visual cortex.

Authors:  Farshad Moradi; Giedrius T Buračas; Richard B Buxton
Journal:  Neuroimage       Date:  2011-07-31       Impact factor: 6.556

2.  Optimal deployment of attentional gain during fine discriminations.

Authors:  Miranda Scolari; Anna Byers; John T Serences
Journal:  J Neurosci       Date:  2012-05-30       Impact factor: 6.167

3.  Simple explanations before complex theories: Alternative interpretations of Sirotin and Das' observations.

Authors:  Daniel A Handwerker; Peter A Bandettini
Journal:  Neuroimage       Date:  2011-01-19       Impact factor: 6.556

4.  Predicting free choices for abstract intentions.

Authors:  Chun Siong Soon; Anna Hanxi He; Stefan Bode; John-Dylan Haynes
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-18       Impact factor: 11.205

5.  Neurovascular coupling and decoupling in the cortex during voluntary locomotion.

Authors:  Bing-Xing Huo; Jared B Smith; Patrick J Drew
Journal:  J Neurosci       Date:  2014-08-13       Impact factor: 6.167

6.  Spatial Attention and Temporal Expectation Under Timed Uncertainty Predictably Modulate Neuronal Responses in Monkey V1.

Authors:  Jitendra Sharma; Hiroki Sugihara; Yarden Katz; James Schummers; Joshua Tenenbaum; Mriganka Sur
Journal:  Cereb Cortex       Date:  2014-05-16       Impact factor: 5.357

7.  Simultaneously estimating the task-related and stimulus-evoked components of hemodynamic imaging measurements.

Authors:  Max Charles Herman; Mariana M B Cardoso; Bruss Lima; Yevgeniy B Sirotin; Aniruddha Das
Journal:  Neurophotonics       Date:  2017-07-10       Impact factor: 3.593

Review 8.  Computational advances towards linking BOLD and behavior.

Authors:  John T Serences; Sameer Saproo
Journal:  Neuropsychologia       Date:  2011-07-23       Impact factor: 3.139

9.  The optimality of sensory processing during the speed-accuracy tradeoff.

Authors:  Tiffany Ho; Scott Brown; Leendert van Maanen; Birte U Forstmann; Eric-Jan Wagenmakers; John T Serences
Journal:  J Neurosci       Date:  2012-06-06       Impact factor: 6.167

Review 10.  Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know.

Authors:  H Lv; Z Wang; E Tong; L M Williams; G Zaharchuk; M Zeineh; A N Goldstein-Piekarski; T M Ball; C Liao; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-18       Impact factor: 3.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.