Fast oscillations (20-40 Hz) in thalamocortical systems and their potentiation by mesopontine cholinergic nuclei in the cat.

Steriade, Mircea; Dossi, R. Curró; Paré, Denis; Oakson, G.

doi:10.1073/pnas.88.10.4396

Cited by 392 publications

(231 citation statements)

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“…If thalamic and cortical rhythms interact, phase locking of thalamic and scalp responses in epochs with significant changes in power amplitude should occur, as has been shown in cat (12,(14)(15)(16)(30)(31)(32)(33). Two such epochs͞frequencies were selected for phase analysis, based on the results described above: 8 Hz within the 1-to 2-s epoch and 24 Hz within the 2-to 3-s epoch.…”

Section: Resultsmentioning

confidence: 99%

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Interactions between thalamic and cortical rhythms during semantic memory recall in human

Slotnick

Moo

Kraut

et al. 2002

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

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Human scalp electroencephalographic rhythms, indicative of cortical population synchrony, have long been posited to reflect cognitive processing. Although numerous studies employing simultaneous thalamic and cortical electrode recording in nonhuman animals have explored the role of the thalamus in the modulation of cortical rhythms, direct evidence for thalamocortical modulation in human has not, to our knowledge, been obtained. We simultaneously recorded from thalamic and scalp electrodes in one human during performance of a cognitive task and found a spatially widespread, phase-locked, low-frequency rhythm (7-8 Hz) power decrease at thalamus and scalp during semantic memory recall. This low-frequency rhythm power decrease was followed by a spatially specific, phase-locked, fast-rhythm (21-34 Hz) power increase at thalamus and occipital scalp. Such a pattern of thalamocortical activity reflects a plausible neural mechanism underlying semantic memory recall that may underlie other cognitive processes as well.E lectroencephalographic (EEG) fast rhythm power increases have been shown to occur during numerous cognitive tasks, including learning, reading, face perception, posture recognition, and chess playing (1-5). Cortical electrode recording in cat (6-9) and nonhuman primate (10) during visual perception indicates that phase-locked, fast rhythm power can reflect synchronous activity between distinct neuronal populations that may ''bind'' features into unitary objects. Simultaneous thalamic and cortical electrode recording in cat and thalamic computational modeling indicate that low-frequency (7-14 Hz) and fast cortical rhythms (11) are influenced by spatially widespread (12, 13) and spatially specific (14-16) thalamocortical connections, respectively. Similar to findings in cat, there is convincing evidence that human thalamus interacts with fast cortical rhythms (17,18).Although fast rhythms have been postulated to reflect other cognitive functions, the role of such rhythms in semantic recall has not been explored. Recent functional MRI (fMRI) results (19,20) suggest that the human thalamus is involved during semantic memory recall. We hypothesized that fMRI thalamic activation during semantic recall could reflect a thalamocortical interaction associated with this memory component. To investigate this possibility, we simultaneously recorded from thalamic and scalp electrodes and conducted epoch-based frequency analysis. To our knowledge, this is the first time in human when such a procedure has been conducted during a cognitive process, revealing a phase-locked, thalamocortical fast rhythm during semantic memory recall.

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Section: Resultsmentioning

confidence: 99%

“…LFPs (12,(14)(15)(16)(25)(26)(27)(28)(29)(30) recorded at thalamic electrodes were amplified 50,000 times. Scalp electrodes were placed according to the international 10-20 convention (31), and voltages were amplified 100,000 times.…”

Section: Methodsmentioning

confidence: 99%

Interactions between thalamic and cortical rhythms during semantic memory recall in human

Slotnick

Moo

Kraut

et al. 2002

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

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“…GAMMA OSCILLATIONS-Several types of cortical (Llinás et al, 1991;Nuñez et al, 1992) and thalamic neurons (Steriade et al, 1991b;Steriade et al, 1993c) display either fast subthreshold resonance or act as bone fide high frequency pacemakers (Gray and McCormick, 1996). Mutually coupled networks of interneurons are sufficient to produce gamma oscillations under certain circumstances (30-90 Hz) in cortical circuits Wang and Buzsáki, 1996;Traub et al, 1999;Bartos et al, 2002).…”

Section: Slow (<1 Hz) Rhythms-mirceamentioning

confidence: 99%

Interaction between neocortical and hippocampal networks via slow oscillations

Sirota

Buzsáki

2005

THL

226

219

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Both the thalamocortical and limbic systems generate a variety of brain state-dependent rhythms but the relationship between the oscillatory families is not well understood. Transfer of information across structures can be controlled by the offset oscillations. We suggest that slow oscillation of the neocortex, which was discovered by Mircea Steriade, temporally coordinates the self-organized oscillations in the neocortex, entorhinal cortex, subiculum and hippocampus. Transient coupling between rhythms can guide bidirectional information transfer among these structures and might serve to consolidate memory traces.

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“…Some of the fast prepotentials (FPPs) in thalamic cells (Maekawa and Purpura, 1967;Deschênes et al, 1984;Paré et al, 1989;Steriade et al, 1991b) probably represent dendritic spiking that dominates the behavior of the cell when somatic Na ϩ channels are blocked by intracellular injections of QX-314 . In the present experiments, the progressive increase in presumed HT responses during intrathalamic augmenting was associated with decreasing IPSPs of TC cells (Figs.…”

Section: Genesis Of Intrathalamic Augmenting Responsesmentioning

confidence: 99%

Short-Term Plasticity during Intrathalamic Augmenting Responses in Decorticated Cats

Steriade

Timofeev

1997

J. Neurosci.

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The intrathalamic mechanisms of frequency-dependent augmenting responses were investigated in decorticated cats by means of intracellular recordings from thalamocortical ( TC) neurons in ventrolateral (VL) nucleus, including simultaneous impalements from two TC neurons. Pulse trains (10 Hz) applied to VL nucleus elicited two types of augmenting responses: (1) in 68% of cells, the incremental responses occurred on a progressive depolarization associated with the decrease in IPSPs produced by preceding stimuli in the train; (2) in the remaining cells, progressively growing low-threshold (LT ) responses resulted from the enhancement of Cl Ϫ -dependent IPSPs, giving rise to postinhibitory rebound bursts, followed by a selfsustained sequence of spindle waves. Although in some TC cells the augmenting responses developed from LT responses once the latter reached a given level of depolarization, other neurons displayed augmenting responses immediately after the early antidromic spike that depolarized the neuron to the required level, without an intermediate step of LT rebound. Repeated pulse trains led to a progressive and persistent increase in slow depolarizing responses of TC cells, as well as to a persistent and prolonged decrease in the amplitudes of the IPSPs. On the basis of parallel experiments, we propose that the two types of augmentation in TC cells are a result of contrasting responses of thalamic reticular neurons evoked by repetitive thalamic stimuli: decremental responses, which may account for disinhibition leading to depolarizing responses in TC cells, and incremental responses, explaining the progressive hyperpolarization of TC cells. These data demonstrate that frequency-dependent changes in neuronal excitability are present in the thalamus of a decorticated hemisphere and suggest that short-term plasticity processes in the gateway to the cerebral cortex may decisively influence cortical excitability during repetitive responses.

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Fast oscillations (20-40 Hz) in thalamocortical systems and their potentiation by mesopontine cholinergic nuclei in the cat.

Cited by 392 publications

References 21 publications

Interactions between thalamic and cortical rhythms during semantic memory recall in human

Interactions between thalamic and cortical rhythms during semantic memory recall in human

Interaction between neocortical and hippocampal networks via slow oscillations

Short-Term Plasticity during Intrathalamic Augmenting Responses in Decorticated Cats

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