Literature DB >> 22199162

Spikes, BOLD, attention, and awareness: a comparison of electrophysiological and fMRI signals in V1.

Geoffrey M Boynton1.   

Abstract

Early fMRI studies comparing results from fMRI and electrophysiological experiments support the notion that the blood oxygen level-dependent (BOLD) signal reliably follows the spiking activity of an underlying neuronal population averaged across a small region in space and a brief period in time. However, more recent studies focusing on higher level cognitive factors such as attention and visual awareness report striking discrepancies between the fMRI response in humans and electrophysiological signals in macaque early visual areas. Four hypotheses are discussed that can explain the discrepancies between the two methods: (1) the BOLD signal follows local field potential (LFP) signals closer than spikes, and only the LFP is modulated by top-down factors, (2) the BOLD signal is reflecting electrophysiological signals that are occurring later in time due to feedback delay, (3) the BOLD signal is more sensitive than traditional electrophysiological methods due to massive pooling by the hemodynamic coupling process, and finally (4) there is no real discrepancy, and instead, weak but reliable effects on firing rates may be obscured by differences in experimental design and interpretation of results across methods.

Entities:  

Mesh:

Year:  2011        PMID: 22199162      PMCID: PMC4124818          DOI: 10.1167/11.5.12

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  129 in total

1.  Modulation of oscillatory neuronal synchronization by selective visual attention.

Authors:  P Fries; J H Reynolds; A E Rorie; R Desimone
Journal:  Science       Date:  2001-02-23       Impact factor: 47.728

2.  Orientation-specific adaptation in human visual cortex.

Authors:  Geoffrey M Boynton; Eva M Finney
Journal:  J Neurosci       Date:  2003-09-24       Impact factor: 6.167

3.  Spikes versus BOLD: what does neuroimaging tell us about neuronal activity?

Authors:  D J Heeger; A C Huk; W S Geisler; D G Albrecht
Journal:  Nat Neurosci       Date:  2000-07       Impact factor: 24.884

4.  Neural correlates of sustained spatial attention in human early visual cortex.

Authors:  Michael A Silver; David Ress; David J Heeger
Journal:  J Neurophysiol       Date:  2006-09-13       Impact factor: 2.714

5.  Attentional inhibition of visual processing in human striate and extrastriate cortex.

Authors:  Scott D Slotnick; Jens Schwarzbach; Steven Yantis
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

6.  Spatial structure of cone inputs to receptive fields in primate lateral geniculate nucleus.

Authors:  R C Reid; R M Shapley
Journal:  Nature       Date:  1992-04-23       Impact factor: 49.962

7.  Attention differentially modulates similar neuronal responses evoked by varying contrast and direction stimuli in area MT.

Authors:  Paul S Khayat; Robert Niebergall; Julio C Martinez-Trujillo
Journal:  J Neurosci       Date:  2010-02-10       Impact factor: 6.167

8.  Colour tuning in human visual cortex measured with functional magnetic resonance imaging.

Authors:  S Engel; X Zhang; B Wandell
Journal:  Nature       Date:  1997-07-03       Impact factor: 49.962

9.  Global effects of feature-based attention in human visual cortex.

Authors:  Melissa Saenz; Giedrius T Buracas; Geoffrey M Boynton
Journal:  Nat Neurosci       Date:  2002-07       Impact factor: 24.884

10.  A BOLD Assumption.

Authors:  Ivo Vanzetta; Hamutal Slovin
Journal:  Front Neuroenergetics       Date:  2010-08-05
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  39 in total

Review 1.  Modeling fMRI signals can provide insights into neural processing in the cerebral cortex.

Authors:  Simo Vanni; Fariba Sharifian; Hanna Heikkinen; Ricardo Vigário
Journal:  J Neurophysiol       Date:  2015-05-13       Impact factor: 2.714

2.  Feedback to distal dendrites links fMRI signals to neural receptive fields in a spiking network model of the visual cortex.

Authors:  Hanna Heikkinen; Fariba Sharifian; Ricardo Vigario; Simo Vanni
Journal:  J Neurophysiol       Date:  2015-04-29       Impact factor: 2.714

3.  Stimulus-related neuroimaging in task-engaged subjects is best predicted by concurrent spiking.

Authors:  Bruss Lima; Mariana M B Cardoso; Yevgeniy B Sirotin; Aniruddha Das
Journal:  J Neurosci       Date:  2014-10-15       Impact factor: 6.167

4.  Functional MRI and EEG Index Complementary Attentional Modulations.

Authors:  Sirawaj Itthipuripat; Thomas C Sprague; John T Serences
Journal:  J Neurosci       Date:  2019-05-24       Impact factor: 6.167

5.  Effects of task and attentional selection on responses in human visual cortex.

Authors:  Erik Runeson; Geoffrey M Boynton; Scott O Murray
Journal:  J Neurophysiol       Date:  2013-02-20       Impact factor: 2.714

6.  Compressive spatial summation in human visual cortex.

Authors:  Kendrick N Kay; Jonathan Winawer; Aviv Mezer; Brian A Wandell
Journal:  J Neurophysiol       Date:  2013-04-24       Impact factor: 2.714

7.  Functional signature of recovering cortex: dissociation of local field potentials and spiking activity in somatosensory cortices of spinal cord injured monkeys.

Authors:  Zheng Wang; Hui-Xin Qi; Jon H Kaas; Anna W Roe; Li Min Chen
Journal:  Exp Neurol       Date:  2013-09-07       Impact factor: 5.330

8.  Cortical correlates of human motion perception biases.

Authors:  Brett Vintch; Justin L Gardner
Journal:  J Neurosci       Date:  2014-02-12       Impact factor: 6.167

9.  The neuroimaging signal is a linear sum of neurally distinct stimulus- and task-related components.

Authors:  Mariana M B Cardoso; Yevgeniy B Sirotin; Bruss Lima; Elena Glushenkova; Aniruddha Das
Journal:  Nat Neurosci       Date:  2012-07-29       Impact factor: 24.884

10.  Parietal and Frontal Cortex Encode Stimulus-Specific Mnemonic Representations during Visual Working Memory.

Authors:  Edward F Ester; Thomas C Sprague; John T Serences
Journal:  Neuron       Date:  2015-08-06       Impact factor: 17.173

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