Interhemispheric synchrony of slow oscillations of cortical blood volume and cytochrome aa 3 redox state in unanesthetized rabbits

Vern, Boris A.; Leheta, Boris J.; Juel, Vern C.; LaGuardia, James J.; Graupe, Peleg; Schuette, William H.

doi:10.1016/s0006-8993(97)01028-7

Cited by 36 publications

(21 citation statements)

References 17 publications

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“…Changes in the fMRI BOLD signal, either task related or spontaneous, reflect changes in blood flow that are greater than changes in oxygen consumption. These changes have been physiologically linked to changes in local field potentials (Goense and Logothetis 2008; Logothetis 2008; Logothetis et al 2001;Logothetis and Wandell 2004) and cellular metabolism [i.e., changes in cellular redox states (Mintun et al 2004;Vern et al 1997Vern et al , 1998) and aerobic glycolysis (see Raichle and Mintun 2006 for review)]. Most recently, propagated activity in the mouse brain (see Neurophysiology of latency) has been visualized with VSD imaging (Mohajerani et al 2010(Mohajerani et al , 2013, which entirely avoids the question of neurovascular coupling.…”

Section: Discussionmentioning

confidence: 99%

Lag structure in resting-state fMRI

Mitra

Snyder

Hacker

et al. 2014

Journal of Neurophysiology

168

362

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Mitra A, Snyder AZ, Hacker CD, Raichle ME. Lag structure in resting-state fMRI. J Neurophysiol 111: 2374 -2391, 2014. First published March 5, 2014 doi:10.1152/jn.00804.2013.-The discovery that spontaneous fluctuations in blood oxygen level-dependent (BOLD) signals contain information about the functional organization of the brain has caused a paradigm shift in neuroimaging. It is now well established that intrinsic brain activity is organized into spatially segregated resting-state networks (RSNs). Less is known regarding how spatially segregated networks are integrated by the propagation of intrinsic activity over time. To explore this question, we examined the latency structure of spontaneous fluctuations in the fMRI BOLD signal. Our data reveal that intrinsic activity propagates through and across networks on a timescale of ϳ1 s. Variations in the latency structure of this activity resulting from sensory state manipulation (eyes open vs. closed), antecedent motor task (button press) performance, and time of day (morning vs. evening) suggest that BOLD signal lags reflect neuronal processes rather than hemodynamic delay. Our results emphasize the importance of the temporal structure of the brain's spontaneous activity.

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Section: Discussionmentioning

confidence: 99%

Lag structure in resting-state fMRI

Mitra

Snyder

Hacker

et al. 2014

Journal of Neurophysiology

168

362

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“…The localized vasomotor changes dominate on task/stimulus-state transitions, which may well exist also in resting DMN. Another reason might be metabolic oscillations that are known to be functionally connected at least in some studies (Obrig et al, 2000;Vern et al, 1997). The spatiotemporal structure of metabolic oscillations remains to be shown in human data until now.…”

Section: Temporally Dynamic Correlationmentioning

confidence: 97%

Synchronous Multiscale Neuroimaging Environment for Critically Sampled Physiological Analysis of Brain Function: Hepta-Scan Concept

Korhonen¹,

Hiltunen²,

Myllylä

et al. 2014

Brain Connectivity

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Functional connectivity of the resting-state networks of the brain is thought to be mediated by very-lowfrequency fluctuations (VLFFs < 0.1 Hz) in neuronal activity. However, vasomotor waves and cardiorespiratory pulsations influence indirect measures of brain function, such as the functional magnetic resonance imaging blood-oxygen-level-dependent (BOLD) signal. How strongly physiological oscillations correlate with spontaneous BOLD signals is not known, partially due to differences in the data-sampling rates of different methods. Recent ultrafast inverse imaging sequences, including magnetic resonance encephalography (MREG), enable critical sampling of these signals. In this study, we describe a multimodal concept, referred to as Hepta-scan, which incorporates synchronous MREG with scalp electroencephalography, near-infrared spectroscopy, noninvasive blood pressure, and anesthesia monitoring. Our preliminary results support the idea that, in the absence of aliased cardiorespiratory signals, VLFFs in the BOLD signal are affected by vasomotor and electrophysiological sources. Further, MREG signals showed a high correlation coefficient between the ventromedial default mode network (DMN vmpf ) and electrophysiological signals, especially in the VLF range. Also, oxy-and deoxyhemoglobin and vasomotor waves were found to correlate with DMN vmpf . Intriguingly, usage of shorter time windows in these correlation measurements produced significantly ( p < 0.05) higher positive and negative correlation coefficients, suggesting temporal nonstationary behavior between the measurements. Focus on the VLF range strongly increased correlation strength.

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“…Remarkably, these organized patterns of activity occurred in the absence of any overt motor activity. Although some worried that this finding might be of cardiac or respiratory origin (Birn et al, 2006;Chang et al, 2009;Wise et al, 2004), it has become clear that this activity, now uniquely seen with fMRI BOLD imaging, is indeed of fundamental importance for brain function as neurophysiologists have been suggesting for some time (e.g., see Bishop, 1933;Buzsaki, 2006;Lashley et al, 1951;Llinas, 1988;Vern et al, 1997;Yuste et al, 2005).…”

Section: A Brief History Of Intrinsic Activitymentioning

confidence: 99%

The Restless Brain

2011

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The pressing need to better understand human brain organization is appreciated by all who have labored to explain the uniqueness of human behavior in health and disease. Early work on the cytoarchitectonics of the human brain by Brodmann and others accompanied by several centuries of lesion behavior work, although valuable, has left us far short of what we need. Fortunately, modern brain imaging techniques have, over the past 40 years, substantially changed the situation by permitting the safe appraisal of both anatomical and functional relationships within the living human brain. An unexpected feature of this work is the critical importance of ongoing, intrinsic activity, which accounts for the majority of brain's energy consumption and exhibits a surprising level of organization that emerges with dimensions of both space and time. In this essay, some of the unique features of intrinsic activity are reviewed, as it relates to our understanding of brain organization.

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Interhemispheric synchrony of slow oscillations of cortical blood volume and cytochrome aa 3 redox state in unanesthetized rabbits

Cited by 36 publications

References 17 publications

Lag structure in resting-state fMRI

Lag structure in resting-state fMRI

Synchronous Multiscale Neuroimaging Environment for Critically Sampled Physiological Analysis of Brain Function: Hepta-Scan Concept

The Restless Brain

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