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Dive into the research topics where Richard J. Staba is active.

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Featured researches published by Richard J. Staba.


Neuron | 2011

Regional Slow Waves and Spindles in Human Sleep

Yuval Nir; Richard J. Staba; Thomas Andrillon; Vladyslav V. Vyazovskiy; Chiara Cirelli; Itzhak Fried; Giulio Tononi

The most prominent EEG events in sleep are slow waves, reflecting a slow (<1 Hz) oscillation between up and down states in cortical neurons. It is unknown whether slow oscillations are synchronous across the majority or the minority of brain regions--are they a global or local phenomenon? To examine this, we recorded simultaneously scalp EEG, intracerebral EEG, and unit firing in multiple brain regions of neurosurgical patients. We find that most sleep slow waves and the underlying active and inactive neuronal states occur locally. Thus, especially in late sleep, some regions can be active while others are silent. We also find that slow waves can propagate, usually from medial prefrontal cortex to the medial temporal lobe and hippocampus. Sleep spindles, the other hallmark of NREM sleep EEG, are likewise predominantly local. Thus, intracerebral communication during sleep is constrained because slow and spindle oscillations often occur out-of-phase in different brain regions.


Epilepsia | 2009

High‐frequency oscillations: What is normal and what is not?

Jerome Engel; Anatol Bragin; Richard J. Staba; Istvan Mody

High‐frequency oscillations (HFOs) in the 80–200 Hz range can be recorded from normal hippocampus and parahippocampal structures of humans and animals. They are believed to reflect inhibitory field potentials, which facilitate information transfer by synchronizing neuronal activity over long distances. HFOs in the range of 250–600 Hz (fast ripples, FRs) are pathologic and are readily recorded from hippocampus and parahippocampal structures of patients with mesial temporal lobe epilepsy, as well as rodent models of this disorder. These oscillations, and similar HFOs recorded from neocortex of patients, appear to identify brain tissue capable of spontaneous ictogenesis and are believed to reflect the neuronal substrates of epileptogenesis and epileptogenicity. The distinction between normal and pathologic HFOs (pHFOs), however, cannot be made on the basis of frequency alone, as oscillations in the FR frequency range can be recorded from some areas of normal neocortex, whereas oscillations in the ripple frequency range are present in epileptic dentate gyrus where normal ripples never occur and, therefore, appear to be pathologic. The suggestion that FRs may be harmonics of normal ripples is unlikely, because of their spatially distinct generators, and evidence that FRs reflect synchronized firing of abnormally bursting neurons rather than inhibitory field potentials. These synchronous population spikes, however, can fire at ripple frequencies, and their harmonics appear to give rise to FRs. Investigations into the fundamental neuronal processes responsible for pHFOs could provide insights into basic mechanisms of epilepsy. The potential for pHFOs to act as biomarkers for epileptogenesis and epileptogenicity is also discussed.


Annals of Neurology | 2002

Interictal high‐frequency oscillations (80–500Hz) in the human epileptic brain: Entorhinal cortex

Anatol Bragin; Charles L. Wilson; Richard J. Staba; Mark Reddick; Itzhak Fried; Jerome Engel

Unique high‐frequency oscillations of 250 to 500Hz, termed fast ripples, have been identified in seizure‐generating limbic areas in rats made epileptic by intrahippocampal injection of kainic acid, and in patients with mesial temporal lobe epilepsy. In the rat, fast ripples clearly are generated by a different neuronal population than normally occurring endogenous ripple oscillations (100–200Hz), but this distinction has not been previously evaluated in humans. The characteristics of oscillations in the ripple and fast ripple frequency bands were compared in the entorhinal cortex of patients with mesial temporal lobe epilepsy using local field potential and unit recordings from chronically implanted bundles of eight microelectrodes with tips spaced 500μm apart. The results showed that ripple oscillations possessed different voltage versus depth profiles compared with fast ripple oscillations. Fast ripple oscillations usually demonstrated a reversal of polarity in the middle layers of entorhinal cortex, whereas ripple oscillations rarely showed reversals across entorhinal cortex layers. There was no significant difference in the amplitude distributions of ripple and fast ripple oscillations. Furthermore, multiunit synchronization was significantly increased during fast ripple oscillations compared with ripple oscillations (p < 0.001). These data recorded from the mesial temporal lobe of epileptic patients suggest that the cellular networks underlying fast ripple generation are more localized than those involved in the generation of normally occurring ripple oscillations. Results from this study are consistent with previous studies in the intrahippocampal kainic acid rat model of chronic epilepsy that provide evidence supporting the view that fast ripples in the human brain reflect localized pathological events related to epileptogenesis.


Annals of Neurology | 2004

High-frequency oscillations recorded in human medial temporal lobe during sleep

Richard J. Staba; Charles L. Wilson; Anatol Bragin; Donald Jhung; Itzhak Fried; Jerome Engel

The presence of fast ripple oscillations (FRs, 200–500Hz) has been confirmed in rodent epilepsy models but has not been observed in nonepileptic rodents, suggesting that FRs are associated with epileptogenesis. Although studies in human epileptic patients have reported that both FRs and ripples (80–200Hz) chiefly occur during non–rapid eye movement sleep (NREM), and that ripple oscillations in human hippocampus resemble those found in nonprimate slow wave sleep, quantitative studies of these oscillations previously have not been conducted during polysomnographically defined sleep and waking states. Spontaneous FRs and ripples were detected using automated computer techniques in patients with medial temporal lobe epilepsy during sleep and waking, and results showed that the incidence of ripples, which are thought to represent normal activity in animal and human hippocampus, was similar between epileptogenic and nonepileptogenic temporal lobe, whereas rates of FR occurrence were significantly associated with epileptogenic areas. The generation of both FRs and ripples showed the highest rates of occurrence during NREM sleep. During REM sleep, ripple rates were lowest, whereas FR rates remained elevated and were equivalent to rates observed during waking. The predominance of FRs within the epileptogenic zone not only during NREM sleep, but also during epileptiform‐suppressing desynchronized episodes of waking and REM sleep supports the view that FRs are the product of pathological neuronal hypersynchronization associated with seizure‐generating areas. Ann Neurol 2004;56:108–115


The Journal of Neuroscience | 2011

Sleep spindles in humans: insights from intracranial EEG and unit recordings

Thomas Andrillon; Yuval Nir; Richard J. Staba; Fabio Ferrarelli; Chiara Cirelli; Giulio Tononi; Itzhak Fried

Sleep spindles are an electroencephalographic (EEG) hallmark of non-rapid eye movement (NREM) sleep and are believed to mediate many sleep-related functions, from memory consolidation to cortical development. Spindles differ in location, frequency, and association with slow waves, but whether this heterogeneity may reflect different physiological processes and potentially serve different functional roles remains unclear. Here we used a unique opportunity to record intracranial depth EEG and single-unit activity in multiple brain regions of neurosurgical patients to better characterize spindle activity in human sleep. We find that spindles occur across multiple neocortical regions, and less frequently also in the parahippocampal gyrus and hippocampus. Most spindles are spatially restricted to specific brain regions. In addition, spindle frequency is topographically organized with a sharp transition around the supplementary motor area between fast (13–15 Hz) centroparietal spindles often occurring with slow-wave up-states, and slow (9–12 Hz) frontal spindles occurring 200 ms later on average. Spindle variability across regions may reflect the underlying thalamocortical projections. We also find that during individual spindles, frequency decreases within and between regions. In addition, deeper NREM sleep is associated with a reduction in spindle occurrence and spindle frequency. Frequency changes between regions, during individual spindles, and across sleep may reflect the same phenomenon, the underlying level of thalamocortical hyperpolarization. Finally, during spindles neuronal firing rates are not consistently modulated, although some neurons exhibit phase-locked discharges. Overall, anatomical considerations can account well for regional spindle characteristics, while variable hyperpolarization levels can explain differences in spindle frequency.


The Journal of Neuroscience | 2010

Large-Scale Microelectrode Recordings of High-Frequency Gamma Oscillations in Human Cortex during Sleep

Michel Le Van Quyen; Richard J. Staba; Anatol Bragin; Clayton T. Dickson; Mario Valderrama; Itzhak Fried; Jerome Engel

Gamma oscillations (40–120 Hz), usually associated with waking functions, can be recorded in the deepest stages of sleep in animals. The full details of their large-scale coordination across multiple cortical networks are still unknown. Furthermore, it is not known whether oscillations with similar characteristics are also present in the human brain. In this study, we examined the existence of gamma oscillations during polysomnographically defined sleep–wake states using large-scale microelectrode recordings (up to 56 channels), with single-cell and spike-time precision, in epilepsy patients. We report that low (40–80 Hz) and high (80–120 Hz) gamma oscillations recurrently emerged over time windows of several hundreds of milliseconds in all investigated cortical areas during slow-wave sleep. These patterns were correlated with positive peaks of EEG slow oscillations and marked increases in local cellular discharges, suggesting that they were associated with cortical UP states. These gamma oscillations frequently appeared at approximately the same time in many different cortical areas, including homotopic regions, forming large spatial patterns. Coincident firings with millisecond precision were strongly enhanced during gamma oscillations but only between cells within the same cortical area. Furthermore, in a significant number of cases, cortical gamma oscillations tended to occur within 100 ms after hippocampal ripple/sharp wave complexes. These data confirm and extend earlier animal studies reporting that gamma oscillations are transiently expressed during UP states during sleep. We speculate that these high-frequency patterns briefly restore “microwake” activity and are important for consolidation of memory traces acquired during previous awake periods.


Current Opinion in Neurology | 2010

High-frequency oscillations in epileptic brain.

Anatol Bragin; Jerome Engel; Richard J. Staba

Purpose of reviewIt has been 10 years since pathological high-frequency oscillations (pHFOs) were described in the brain of epileptic animals and patients. This review summarizes progress in research on mechanisms of their generation and potential clinical applications over that period. Recent findingsInitially, pHFOs were recorded with microelectrodes in the hippocampus of rodents and patients with mesial temporal lobe epilepsy (MTLE), but recently pHFOs have also been recorded with clinical depth and grid electrodes in multiple brain areas including the hippocampus and neocortex of patients with different types of epilepsy. One hypothesis is that pHFOs reflect fields of hypersynchronized action potentials (bursts of population spikes) within small discrete neuronal clusters responsible for seizure generation. Studies suggest that pHFOs can be used as a reliable biomarker for epileptogenesis, epileptogenicity, and the delineation of the epileptogenic region. SummaryRecording of pHFOs with clinical electrodes provides a means for further investigation of their functional role in the epileptic brain and as a potential biomarker of epileptogenesis and epileptogenicity and for presurgical mapping.


Nature Communications | 2013

Human hypocretin and melanin-concentrating hormone levels are linked to emotion and social interaction

Ashley M. Blouin; Itzhak Fried; Charles L. Wilson; Richard J. Staba; Eric Behnke; Hoa A. Lam; Nigel T. Maidment; Karl Æ. Karlsson; Jennifer L. Lapierre; Jerome M. Siegel

The neurochemical changes underlying human emotions and social behavior are largely unknown. Here we report on the changes in the levels of two hypothalamic neuropeptides, hypocretin-1 (Hcrt-1) and melanin concentrating hormone (MCH), measured in the human amygdala. We show that Hcrt-1 levels are maximal during positive emotion, social interaction, and anger, behaviors that induce cataplexy in human narcoleptics. In contrast, MCH levels are minimal during social interaction, but are increased after eating. Both peptides are at minimal levels during periods of postoperative pain despite high levels of arousal. MCH levels increase at sleep onset, consistent with a role in sleep induction, whereas Hcrt-1 levels increase at wake onset, consistent with a role in wake induction. Levels of these two peptides in humans are not simply linked to arousal, but rather to specific emotions and state transitions. Other arousal systems may be similarly emotionally specialized.


Current Opinion in Neurology | 2013

Connectomics and epilepsy.

Jerome Engel; Paul M. Thompson; John M. Stern; Richard J. Staba; Anatol Bragin; Istvan Mody

PURPOSE OF REVIEW Tremendous advances have occurred in recent years in elucidating basic mechanisms of epilepsy at the level of ion channels and neurotransmitters. Epilepsy, however, is ultimately a disease of functionally and/or structurally aberrant connections between neurons and groups of neurons at the systems level. Recent advances in neuroimaging and electrophysiology now make it possible to investigate structural and functional connectivity of the entire brain, and these techniques are currently being used to investigate diseases that manifest as global disturbances of brain function. Epilepsy is such a disease, and our understanding of the mechanisms underlying the development of epilepsy and the generation of epileptic seizures will undoubtedly benefit from research utilizing these connectomic approaches. RECENT FINDINGS MRI using diffusion tensor imaging provides structural information, whereas functional MRI and electroencephalography provide functional information about connectivity at the whole brain level. Optogenetics, tracers, electrophysiological approaches, and calcium imaging provide connectivity information at the level of local circuits. These approaches are revealing important neuronal network disturbances underlying epileptic abnormalities. SUMMARY An understanding of the fundamental mechanisms underlying the development of epilepsy and the generation of epileptic seizures will require delineation of the aberrant functional and structural connections of the whole brain. The field of connectomics now provides approaches to accomplish this.


Epilepsia | 2007

Increased Fast ripple to ripple Ratios Correlate with Reduced Hippocampal Volumes and Neuron Loss in Temporal Lobe Epilepsy Patients

Richard J. Staba; Leonardo Frighetto; Eric Behnke; Gary W. Mathern; Tony A. Fields; Anatol Bragin; Jennifer A. Ogren; Itzhak Fried; Charles L. Wilson; Jerome Engel

Purpose: To determine whether hippocampal sclerosis might form an anatomical substrate for pathological high‐frequency oscillations in patients with temporal lobe epilepsy (TLE).

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Jerome Engel

University of California

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Anatol Bragin

University of California

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Itzhak Fried

University of California

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Paul M. Thompson

University of Southern California

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Shennan A. Weiss

Thomas Jefferson University

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Daniel S. Barth

University of Colorado Boulder

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Ashwini Sharan

Thomas Jefferson University

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