Literature DB >> 22279224

The amplitude and timing of the BOLD signal reflects the relationship between local field potential power at different frequencies.

Cesare Magri1, Ulrich Schridde, Yusuke Murayama, Stefano Panzeri, Nikos K Logothetis.   

Abstract

There is growing evidence that several components of the mass neural activity contributing to the local field potential (LFP) can be partly separated by decomposing the LFP into nonoverlapping frequency bands. Although the blood oxygen level-dependent (BOLD) signal has been found to correlate preferentially with specific frequency bands of the LFP, it is still unclear whether the BOLD signal relates to the activity expressed by each LFP band independently of the others or if, instead, it also reflects specific relationships among different bands. We investigated these issues by recording, simultaneously and with high spatiotemporal resolution, BOLD signal and LFP during spontaneous activity in early visual cortices of anesthetized monkeys (Macaca mulatta). We used information theory to characterize the statistical dependency between BOLD and LFP. We found that the alpha (8-12 Hz), beta (18-30 Hz), and gamma (40-100 Hz) LFP bands were informative about the BOLD signal. In agreement with previous studies, gamma was the most informative band. Both increases and decreases in BOLD signal reliably followed increases and decreases in gamma power. However, both alpha and beta power signals carried information about BOLD that was largely complementary to that carried by gamma power. In particular, the relationship between alpha and gamma power was reflected in the amplitude of the BOLD signal, while the relationship between beta and gamma bands was reflected in the latency of BOLD with respect to significant changes in gamma power. These results lay the basis for identifying contributions of different neural pathways to cortical processing using fMRI.

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Year:  2012        PMID: 22279224      PMCID: PMC6796252          DOI: 10.1523/JNEUROSCI.3985-11.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  56 in total

1.  Functional imaging of the monkey brain.

Authors:  N K Logothetis; H Guggenberger; S Peled; J Pauls
Journal:  Nat Neurosci       Date:  1999-06       Impact factor: 24.884

2.  A comparison of hemodynamic and neural responses in cat visual cortex using complex stimuli.

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3.  Visual stimulation elicits locked and induced gamma oscillations in monkey intracortical- and EEG-potentials, but not in human EEG.

Authors:  E Juergens; A Guettler; R Eckhorn
Journal:  Exp Brain Res       Date:  1999-11       Impact factor: 1.972

4.  Hemodynamic correlates of EEG: a heuristic.

Authors:  J M Kilner; J Mattout; R Henson; K J Friston
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5.  Spatio-temporal information analysis of event-related BOLD responses.

Authors:  Galit Fuhrmann Alpert; Fellice T Sun; Daniel Handwerker; Mark D'Esposito; Robert T Knight
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Authors:  Nikos K Logothetis
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Authors:  O D Creutzfeldt; S Watanabe; H D Lux
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  148 in total

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2.  Development of sensory gamma oscillations and cross-frequency coupling from childhood to early adulthood.

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4.  Poststimulus undershoots in cerebral blood flow and BOLD fMRI responses are modulated by poststimulus neuronal activity.

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5.  Resting state functional connectivity of the subthalamic nucleus in Parkinson's disease assessed using arterial spin-labeled perfusion fMRI.

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Review 7.  Modeling fMRI signals can provide insights into neural processing in the cerebral cortex.

Authors:  Simo Vanni; Fariba Sharifian; Hanna Heikkinen; Ricardo Vigário
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8.  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
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Review 9.  Neuroimaging for psychotherapy research: current trends.

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10.  Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus.

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