Simultaneous Cerebral Glucography with Positron Emission Tomography and Topographic Electroencephalography

Buchsbaum, M.S.; Kessler, Robert; King, Anna C.; Johnson, J.; Cappelletti, J.

doi:10.1016/s0079-6123(08)62182-2

Cited by 36 publications

(12 citation statements)

References 8 publications

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“…EEG power has been used to link electrical activity with blood flow and fMRI signal (25)(26)(27). We conducted power spectral density analyses on the resting-state EEG signal within seven predefined frequency bands based on EEG convention (10) (␦, 1-4 Hz; , 5-8 Hz; ␣, 9-14 Hz; ␤, 15-30 Hz; ␥ L , 30-50 Hz; ␥ H , 50-100 Hz; and ␥ VH , 100-150 Hz).…”

Section: Resultsmentioning

confidence: 99%

Synchronized delta oscillations correlate with the resting-state functional MRI signal

Zuo

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

398

344

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Synchronized low-frequency spontaneous fluctuations of the functional MRI (fMRI) signal have recently been applied to investigate large-scale neuronal networks of the brain in the absence of specific task instructions. However, the underlying neural mechanisms of these fluctuations remain largely unknown. To this end, electrophysiological recordings and resting-state fMRI measurements were conducted in ␣-chloralose-anesthetized rats. Using a seed-voxel analysis strategy, region-specific, anesthetic dosedependent fMRI resting-state functional connectivity was detected in bilateral primary somatosensory cortex (S1FL) of the resting brain. Cortical electroencephalographic signals were also recorded from bilateral S1FL; a visual cortex locus served as a control site. Results demonstrate that, unlike the evoked fMRI response that correlates with power changes in the ␥ bands, the resting-state fMRI signal correlates with the power coherence in low-frequency bands, particularly the ␦ band. These data indicate that hemodynamic fMRI signal differentially registers specific electrical oscillatory frequency band activity, suggesting that fMRI may be able to distinguish the ongoing from the evoked activity of the brain.electroencephalogram ͉ spontaneous fluctuations ͉ functional connectivity T he human brain is thought to be composed of multiple coherent neuronal networks of variable scales that support sensory, motor, and cognitive functions (1). The traditional approach to studying such networks has been to use specific tasks to probe neurobiological responses. In contrast, recent studies have demonstrated the existence of spontaneous, low-frequency (i.e., Ͻ0.1 Hz) fluctuations in the functional MRI (fMRI) signal of the resting brain that exhibit coherence patterns within specific neuronal networks in the absence of overt task performance or explicit attentional demands (2-4). Such precisely patterned spontaneous activity has been reported in both awake human and anesthetized nonhuman primates (5). Recently, ''resting-state'' fMRI has been applied to study alterations in brain networks under such pathological conditions as Alzheimer's disease (6), multiple sclerosis (7), and spatial neglect syndrome (8). These studies collectively suggest that, rather than simple physiological artifacts induced by cardiac pulsations or respiration, as was originally suspected, these widely distributed coherent low-frequency fMRI fluctuations have a direct neural basis (9, 10). However, more than a decade since they were first identified, the linkage between neuronal activity and restingstate fMRI signal remains largely unknown, underscoring the clear and critical need for well controlled animal models to investigate this phenomenon.Across various states of vigilance, the electrical activity of neuronal networks is known to oscillate at various frequencies and amplitudes, with high-frequency oscillations confined to local networks, whereas large networks are recruited during slow oscillations (11,12). Imposed tasks alter local field potent...

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Section: Resultsmentioning

confidence: 99%

Synchronized delta oscillations correlate with the resting-state functional MRI signal

Zuo

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

398

344

View full text Add to dashboard Cite

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“…An increase in slow (theta and alpha) activity in the EEG pattern may reflect a decreased cortical activation in these brain regions (Buchsbaum at al., 1984;Cook et al, 1998). Enhancement of beta power may correlate with anxiety symptoms that will most likely play an important role on the onset of depressive disorder.…”

Section: Discussionmentioning

confidence: 99%

EEG Power Spectra at Early Stages of Depressive Disorders

Grin-Yatsenko

Baas²,

Пономарев³

et al. 2009

Journal of Clinical Neurophysiology

110

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In previous quantitative EEG studies of depression, mostly patients with a lifetime history of depressive disorders were reported. This study examined quantitative EEG parameters obtained in the early stages of depression in comparison with age-matched healthy controls. EEG was recorded using two different montages in eyes closed and eyes open resting states. A significant increase in spectrum power in theta (4-7.5 Hz), alpha (7.5-14 Hz), and beta (14-20 Hz) frequency bands was found in depressed patients at parietal and occipital sites, both in eyes closed and eyes open conditions. These results suggest that an increase in slow (theta and alpha) activity in the EEG pattern may reflect a decreased cortical activation in these brain regions. Enhancement of beta power may correlate with anxiety symptoms that most likely play an important role on the onset of depressive disorder.

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“…Several reports point towards strong correlations between CBF [Obrist et al, 1963;Ingvar and Sulg, 1969;Nagata et al, 1988] or CMRglu [Buchsbaum et al, 1984] and EEG activities. Altogether, these results seem to show that quantified EEG mapping is a viable alternative to PET imaging for the demonstration of apomorphine effects on dopaminergic neurotransmission.…”

Section: Discussionmentioning

confidence: 99%

Electroencephalographic Characterization of Brain Dopaminergic Stimulation by Apomorphine in Healthy Volunteers

et al. 1999

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Apomorphine, a dopamine receptor agonist (given in a dose of 0.75 mg s.c.), was administered to 8 healthy volunteers; electroencephalograph (EEG) and event-related potential (ERP) mapping were performed before dosing and 0.5, 1.5 and 2.5 h after dosing. Apomorphine caused an overall increase in beta activity at time 0.5 h in both absolute and relative energy; P300 and CNV ERPs were not significantly altered, although a tendency towards increased P300 latency was seen. The results confirm that the EEG mapping technique is sufficiently sensitive to monitor dopaminergic neurochemical stimulation by means of apomorphine. This could lead to a new, non-invasive and repeatable method for monitoring central neuronal systems which is more convenient to apply repeatedly than for example positron emission tomography techniques. Furthermore, electrophysiological techniques undoubtedly constitute an alternative to classical neuroendocrinological methods, allowing a more direct assessment of central nervous system neurotransmission. Finally, these EEG approaches could lead to better characterization of drugs acting on dopaminergic pathways, such as antipsychotics.

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Simultaneous Cerebral Glucography with Positron Emission Tomography and Topographic Electroencephalography

Cited by 36 publications

References 8 publications

Synchronized delta oscillations correlate with the resting-state functional MRI signal

Synchronized delta oscillations correlate with the resting-state functional MRI signal

EEG Power Spectra at Early Stages of Depressive Disorders

Electroencephalographic Characterization of Brain Dopaminergic Stimulation by Apomorphine in Healthy Volunteers

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