Comparison of spectral analysis methods for characterizing brain oscillations

Vugt, Marieke K. van; Sederberg, Per B.; Kahana, Michael J.

doi:10.1016/j.jneumeth.2006.12.004

Cited by 140 publications

(106 citation statements)

References 46 publications

(46 reference statements)

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“…Visual inspection of LFP signals revealed that unlike the long, continuous trains of oscillations seen in the rodent hippocampus during "active states," oscillatory activity occurred in intermittent bouts separated by desynchronized, nontheta activity, similar to the activity previously described in the human hippocampus (8). Previous studies have evaluated the incidence of oscillatory components in continuous LFP data using the P episode measure (8,(25)(26)(27), which detects episodes of oscillatory activity exceeding amplitude and duration thresholds at each frequency of interest while ignoring the transient voltage fluctuations that may accompany artifacts or evoked potentials. We used this method to detect bouts of oscillatory activity in the theta frequency range that exceeded three cycles in duration and determined the incidence of these bouts across blocks of the VPLT.…”

Section: Resultsmentioning

confidence: 89%

Oscillatory activity in the monkey hippocampus during visual exploration and memory formation

Jutras¹,

Fries

Buffalo

2013

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

253

266

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Primates explore the visual world through the use of saccadic eye movements. Neuronal activity in the hippocampus, a structure known to be essential for memory, is modulated by this saccadic activity, but the relationship between visual exploration through saccades and memory formation is not well understood. Here, we identify a link between theta-band (3-12 Hz) oscillatory activity in the hippocampus and saccadic activity in monkeys performing a recognition memory task. As monkeys freely explored novel images, saccades produced a theta-band phase reset, and the reliability of this phase reset was predictive of subsequent recognition. In addition, enhanced theta-band power before stimulus onset predicted stronger stimulus encoding. Together, these data suggest that hippocampal theta-band oscillations act in concert with active exploration in the primate and possibly serve to establish the optimal conditions for stimulus encoding.T he use of saccadic eye movements to acquire information about the surrounding environment is perhaps the most conspicuous example of exploratory behavior in the primate. This behavior provides a mechanism for parsing incoming information into discrete, stable segments (i.e., snapshots of individual elements comprising a complex visual scene, allowing time for sufficient processing to occur before moving to the next fixation target). This mechanism of actively sampling sensory information from the environment may be similar to the behaviors engaged in by rodents exploring their environment through such activities as sniffing and whisking. Specifically, the fixation period following each saccade may be homologous to the period of incoming sensory information accompanying each sniff cycle in the rodent (1). Recently, it has been suggested that motor behaviors associated with information gathering are integral to the "active sensing" process in natural behavior (2). It is plausible that there may exist certain common neuronal elements across species that are associated with active sensing processes, such that the neuronal mechanisms underlying the encoding of information are intimately connected with the motor activities involved in acquiring that information.In many mammalian species, voluntary, exploratory behaviors are often associated with theta-band activity, a prominent 3-to 12-Hz oscillatory activity in the hippocampus and other limbic structures. This activity has been studied extensively in the rodent hippocampus (3-5), but it has also been described in bats (6), cats (7), and, more recently, humans (8-11). In rodents, theta appears to show close temporal relationships with running (3, 12) and sniffing (13), suggesting an association between theta and the rate of sensory input. Although hippocampal theta has been identified in anesthetized monkeys (14), the lack of a clear demonstration of hippocampal theta in awake monkeys has been attributed to the fact that the recording methods typically require immobile, head-affixed monkeys, in contrast to rodent studies using freely moving ...

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Section: Resultsmentioning

confidence: 89%

Oscillatory activity in the monkey hippocampus during visual exploration and memory formation

Jutras¹,

Fries

Buffalo

2013

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

253

266

View full text Add to dashboard Cite

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“…Correspondingly, the choice of spectral method for the analysis of electrophysiological data has also been highly debated [Bruns, 2004; Le Van Quyen and Bragin, 2007; Le Van Quyen et al, 2001; van Vugt et al, 2007]. In the first part of this work, we developed a method based on bootstrapping across trials, which served two purposes.…”

Section: Discussionmentioning

confidence: 99%

Significant reductions in human visual gamma frequency by the gaba reuptake inhibitor tiagabine revealed by robust peak frequency estimation

Magazzini

Muthukumaraswamy

Campbell

et al. 2016

Human Brain Mapping

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The frequency of visual gamma oscillations is determined by both the neuronal excitation–inhibition balance and the time constants of GABAergic processes. The gamma peak frequency has been linked to sensory processing, cognitive function, cortical structure, and may have a genetic contribution. To disentangle the intricate relationship among these factors, accurate and reliable estimates of peak frequency are required. Here, a bootstrapping approach that provides estimates of peak frequency reliability, thereby increasing the robustness of the inferences made on this parameter was developed. The method using both simulated data and real data from two previous pharmacological MEG studies of visual gamma with alcohol and tiagabine was validated. In particular, the study by Muthukumaraswamy et al. [2013a] (Neuropsychopharmacology 38(6):1105–1112), in which GABAergic enhancement by tiagabine had previously demonstrated a null effect on visual gamma oscillations, contrasting with strong evidence from both animal models and very recent human studies was re‐evaluated. After improved peak frequency estimation and additional exclusion of unreliably measured data, it was found that the GABA reuptake inhibitor tiagabine did produce, as predicted, a marked decrease in visual gamma oscillation frequency. This result demonstrates the potential impact of objective approaches to data quality control, and provides additional translational evidence for the mechanisms of GABAergic transmission generating gamma oscillations in humans. Hum Brain Mapp 37:3882–3896, 2016. © 2016 Wiley Periodicals, Inc.

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“…The power threshold (p T ) was set to the 95th percentile of the theoretical probability distribution. The proportion of time in which significant oscillations were detected within a 5 min sleep was termed P episode (Caplan and Glaholt, 2007;Caplan et al, 2001Caplan et al, , 2003van Vugt et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

Recalling and Forgetting Dreams: Theta and Alpha Oscillations during Sleep Predict Subsequent Dream Recall

Marzano

Ferrara²,

Mauro³

et al. 2011

J. Neurosci.

121

159

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Under the assumption that dream recall is a peculiar form of declarative memory, we have hypothesized that (1) the encoding of dream contents during sleep should share some electrophysiological mechanisms with the encoding of episodic memories of the awake brain and (2) recalling a dream(s) after awakening from non-rapid eye movement (NREM) and rapid eye movement (REM) sleep should be associated with different brain oscillations. Here, we report that cortical brain oscillations of human sleep are predictive of successful dream recall. In particular, after morning awakening from REM sleep, a higher frontal 5-7 Hz (theta) activity was associated with successful dream recall. This finding mirrors the increase in frontal theta activity during successful encoding of episodic memories in wakefulness. Moreover, in keeping with the different EEG background, a different predictive relationship was found after awakening from stage 2 NREM sleep. Specifically, a lower 8 -12 Hz (alpha) oscillatory activity of the right temporal area was associated with a successful dream recall. These findings provide the first evidence of univocal cortical electroencephalographic correlates of dream recall, suggesting that the neurophysiological mechanisms underlying the encoding and recall of episodic memories may remain the same across different states of consciousness.

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Comparison of spectral analysis methods for characterizing brain oscillations

Cited by 140 publications

References 46 publications

Oscillatory activity in the monkey hippocampus during visual exploration and memory formation

Oscillatory activity in the monkey hippocampus during visual exploration and memory formation

Significant reductions in human visual gamma frequency by the gaba reuptake inhibitor tiagabine revealed by robust peak frequency estimation

Recalling and Forgetting Dreams: Theta and Alpha Oscillations during Sleep Predict Subsequent Dream Recall

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