Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1

Shmuel, Amir; Augath, M; Oeltermann, A; Logothetis, Nikos K.

doi:10.1038/nn1675

Cited by 824 publications

(854 citation statements)

References 49 publications

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“…A relative increase in theta oscillations could therefore lead to a decrease in the BOLD signal. Simultaneous recording of hemodynamic responses and intracortical electrophysiological responses in the visual cortex of cat (Niessing et al, 2005) and monkey (Logothetis et al, 2001;Shmuel et al, 2006) corroborate this notion. In the cat, Niessing et al (2005) reported negative correlations in between lower frequencies (delta and theta) and the hemodynamic responses, and strong positive correlations with gamma band activity during visual stimulation.…”

Section: Discussionsupporting

confidence: 55%

“…In the cat, Niessing et al (2005) reported negative correlations in between lower frequencies (delta and theta) and the hemodynamic responses, and strong positive correlations with gamma band activity during visual stimulation. Shmuel et al (2006) found that the negative BOLD response in the monkey primary visual cortex during partial visual field stimulation is accompanied with decreased neural activity in the gamma range (30-130 Hz). Logothetis et al (2001) showed that increased gamma band activity during visual stimulation is tightly coupled to the positive BOLD response.…”

Section: Discussionmentioning

confidence: 98%

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Frontal theta EEG activity correlates negatively with the default mode network in resting state

Scheeringa¹,

Bastiaansen²,

Petersson³

et al. 2008

International Journal of Psychophysiology

362

295

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We used simultaneously recorded EEG and fMRI to investigate in which areas the BOLD signal correlates with frontal theta power changes, while subjects were quietly lying resting in the scanner with their eyes open. To obtain a reliable estimate of frontal theta power we applied ICA on band-pass filtered (2-9 Hz) EEG data. For each subject we selected the component that best matched the mid-frontal scalp topography associated with the frontal theta rhythm. We applied a time-frequency analysis on this component and used the time course of the frequency bin with the highest overall power to form a regressor that modeled spontaneous fluctuations in frontal theta power. No significant positive BOLD correlations with this regressor were observed. Extensive negative correlations were observed in the areas that together form the default mode network. We conclude that frontal theta activity can be seen as an EEG index of default mode network activity.

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Section: Discussionsupporting

confidence: 55%

Section: Discussionmentioning

confidence: 98%

Frontal theta EEG activity correlates negatively with the default mode network in resting state

Scheeringa¹,

Bastiaansen²,

Petersson³

et al. 2008

International Journal of Psychophysiology

362

295

View full text Add to dashboard Cite

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“…Recent studies have provided evidence of a neural component to the inhibitory rebound. Shmuel et al (2006Shmuel et al ( , 2002 have studied the origin of the negative BOLD activation in cortical regions adjacent to those receiving direct projections from stimulated retina and shown that it cannot be attributed to blood dynamics but must be a result of a reduction in the neuronal signal in those regions. Such studies imply that it is reasonable to attribute negative BOLD signals to inhibitory suppression of neural activity, especially in the present situation when (1) there is no diVerence in the local stimulation between the test-and the null-epochs, (2) and the only sites of activation are remote from the zone of reduced BOLD response.…”

Section: Analysis: a Recurrent Wgure/ground Modelmentioning

confidence: 99%

Occipital network for figure/ground organization

Likova

Tyler

2008

Exp Brain Res

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract To study the cortical mechanism of Wgure/ ground categorization in the human brain, we employed fMRI and the temporal-asynchrony paradigm. This paradigm is able to eliminate any diVerential activation for local stimulus features, and thus to identify only global perceptual interactions. Strong segmentation of the image into diVerent spatial conWgurations was generated solely from temporal asynchronies between zones of homogeneous dynamic noise. The Wgure/ground conWguration was a single geometric Wgure enclosed in a larger surround region. In a control condition, the Wgure/ground organization was eliminated by segmenting the noise Weld into many identical temporal-asynchrony stripes. The manipulation of the type of perceptual organization triggered dramatic reorganization in the cortical activation pattern. The Wgure/ground conWguration generated suppression of the ground representation (limited to early retinotopic visual cortex, V1 and V2) and strong activation in the motion complex hMT+/ V5+; conversely, both responses were abolished when the Wgure/ground organization was eliminated. These results suggest that Wgure/ground processing is mediated by topdown suppression of the ground representation in the earliest visual areas V1/V2 through a signal arising in the motion complex. We propose a model of a recurrent cortical architecture incorporating suppressive feedback that operates in a topographic manner, forming a Wgure/ground categorization network distinct from that for "pure" scene segmentation and thus underlying the perceptual organization of dynamic scenes into cognitively relevant components. Permanent repository link

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“…a is a positive number representing the intensity of the stimulus. It has been reported in [29,15] that the percent of change in neuronal signal is in the 25% − 50% ranges for excitatory activity during visual stimulation conditions, i.e., a ∈ [0.25, 0.5].…”

Section: Nomenclature and Assumptionsmentioning

confidence: 99%

A novel approach to calibrate the hemodynamic model using functional Magnetic Resonance Imaging (fMRI) measurements

Khoram

Zayane

Djellouli

et al. 2016

Journal of Neuroscience Methods

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Page 1 of 42A c c e p t e d M a n u s c r i p t• An efficient solution methodology for estimating the parameters of the brain response model is proposed.• This method distinguishes itself from existing calibrating techniques by employing intelligently (a) the Newton algorithm, (b) a Tikhonov regularization approach, and (c) a Kalman filtering procedure.• Both synthetic and real fMRI measurements were used to assess the performance of this method.• The fast convergence, the accuracy, and the robustness to the noise effect of this method are clearly demonstrated by the reported numerical results.• This methods outperforms existing methods. Highlights (for review)Page 2 of 42 A c c e p t e d M a n u s c r i p t Abstract BackgroundThe calibration of the hemodynamic model that describes changes in blood flow and blood oxygenation during brain activation is a crucial step for successfully monitoring and possibly predicting brain activity. This in turn has the potential to provide diagnosis and treatment of brain diseases in early stages. New MethodWe propose an efficient numerical procedure for calibrating the hemodynamic model using some fMRI measurements. The proposed solution methodology is a regularized iterative method equipped with a Kalman filtering-type procedure. The Newton component of the proposed method addresses the nonlinear aspect of the problem. The regularization feature is used to ensure the stability of the algorithm. The Kalman filter procedure is incorporated here to address the noise in the data. Results Numerical results obtained with synthetic data as well as with real fMRI measurements are presented to illustrate the accuracy, robustness to the noise, and the cost-effectiveness of the proposed method.

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Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1

Cited by 824 publications

References 49 publications

Frontal theta EEG activity correlates negatively with the default mode network in resting state

Frontal theta EEG activity correlates negatively with the default mode network in resting state

Occipital network for figure/ground organization

A novel approach to calibrate the hemodynamic model using functional Magnetic Resonance Imaging (fMRI) measurements

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