Neuronal Basis of the Slow (&lt;1 Hz) Oscillation in Neurons of the Nucleus Reticularis Thalami<i>In Vitro</i>

Blethyn, Kate L.; Hughes, Stuart W.; Tóth, Tibor; Cope, David W.; Crunelli, Vincenzo

doi:10.1523/jneurosci.3607-05.2006

Cited by 130 publications

(172 citation statements)

References 53 publications

(102 reference statements)

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“…Moreover, thalamic cells present intrinsic properties that give them the capability to generate a slow rhythm (26,27). The absence of any thalamic response associated with slow waves or delta waves may appear to be at odds with these neurophysiological data.…”

Section: Comparison With Earlier Positron Emission Tomography and Fmrmentioning

confidence: 99%

Spontaneous neural activity during human slow wave sleep

Dang‐Vu

Schabus

Desseilles

et al. 2008

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

369

272

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Slow wave sleep (SWS) is associated with spontaneous brain oscillations that are thought to participate in sleep homeostasis and to support the processing of information related to the experiences of the previous awake period. At the cellular level, during SWS, a slow oscillation (<1 Hz) synchronizes firing patterns in large neuronal populations and is reflected on electroencephalography (EEG) recordings as large-amplitude, low-frequency waves. By using simultaneous EEG and event-related functional magnetic resonance imaging (fMRI), we characterized the transient changes in brain activity consistently associated with slow waves (>140 V) and delta waves (75-140 V) during SWS in 14 non-sleep-deprived normal human volunteers. Significant increases in activity were associated with these waves in several cortical areas, including the inferior frontal, medial prefrontal, precuneus, and posterior cingulate areas. Compared with baseline activity, slow waves are associated with significant activity in the parahippocampal gyrus, cerebellum, and brainstem, whereas delta waves are related to frontal responses. No decrease in activity was observed. This study demonstrates that SWS is not a state of brain quiescence, but rather is an active state during which brain activity is consistently synchronized to the slow oscillation in specific cerebral regions. The partial overlap between the response pattern related to SWS waves and the waking default mode network is consistent with the fascinating hypothesis that brain responses synchronized by the slow oscillation restore microwake-like activity patterns that facilitate neuronal interactions.fMRI ͉ neuroimaging ͉ sleep physiology ͉ slow oscillation D uring the deepest stage of nonrapid eye movement (NREM) sleep, also referred to as slow wave sleep (SWS) in humans (stage 3-4 of sleep), spontaneous brain activity is organized by specific physiological rhythms, the neural correlates of which have been described in animals (1). Unit recordings have shown that neuronal activity during SWS is characterized by a fundamental oscillation of membrane potential. This so-called ''slow oscillation'' (Ͻ1 Hz) is recorded in all major types of neocortical neurons during SWS and is composed of a depolarizing phase, associated with important neuronal firing (''up state''), followed by a hyperpolarizing phase during which cortical neurons remain silent for a few hundred milliseconds (''down state'') (2, 3). The slow oscillation occurs synchronously in large neuronal populations in such a way that it can be reflected on electroencephalography (EEG) recordings as large-amplitude, low-frequency waves (4).Delta rhythm (1-4 Hz) is another characteristic oscillation of NREM sleep. The neural underpinnings of delta rhythm remain uncertain, however. In the dorsal thalamus, a clock-like delta rhythm is generated by the interplay of two intrinsic membrane currents, although another delta rhythm survives complete thalamectomy, suggesting a cortical origin (1).In humans, a slow oscillation was identified on s...

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Section: Comparison With Earlier Positron Emission Tomography and Fmrmentioning

confidence: 99%

Spontaneous neural activity during human slow wave sleep

Dang‐Vu

Schabus

Desseilles

et al. 2008

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

369

272

View full text Add to dashboard Cite

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“…In the thalamus, the mechanism underlying the generation of the "up state" in the slow oscillation critically relies on the window component of the low-voltage-activated Ca 2ϩ current (T type) (Crunelli et al, 2005, Blethyn et al, 2006. Moreover, Ca 2ϩ entry through T-type channels may activate I CAN (Bal and McCormick, 1993).…”

Section: Ionic Mechanisms Of Prolonged Intrinsic Bursting Activity Inmentioning

confidence: 99%

Spontaneous Bursting Activity in the Developing Entorhinal Cortex

Sheroziya

Halbach²,

Unsicker³

et al. 2009

J. Neurosci.

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-sensitive nonspecific cationic current (I CAN ) and the persistent Na ϩ current (I Nap ) underlie this effect. Indeed, a 0.2-1 s suprathreshold current step stimulus elicited a terminated plateau potential in these neurons. fp recordings at P5-P7 showed periodic spontaneous glutamate receptormediated events (sharp fp events or prolonged fp bursts) which were blocked by FFA. Slow-wave network oscillations become a dominant pattern at P11-P13. We conclude that prolonged intrinsic bursting activity is a characteristic feature of developing medial EC layer III neurons that might be involved in neuronal and network maturation.

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“…Our experiment specifically focused on the morphological relations between the thalamus and multiple ipsilateral association cortical regions. We chose the thalamus because it acts as the gate of nearly all incoming information to the cortex and plays an important role during natural sleep (Blethyn et al, 2006). In addition, a previous study has shown that SD has a significant effect on the thalamus.…”

Section: Introductionmentioning

confidence: 99%

Measuring individual morphological relationship of cortical regions

Kong

Wang

Huang

et al. 2014

Journal of Neuroscience Methods

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h i g h l i g h t s• A new metric was proposed to quantify individual morphological relations of regions.• The new metric is indexed as the similarity of different morphological distributions.• We estimate the morphological distribution from individual MRI image.• The metric seemed to have potential application to individual differences studies. a r t i c l e i n f o b s t r a c tBackground: Although local features of brain morphology have been widely investigated in neuroscience, the inter-regional relations in brain morphology have rarely been investigated, especially not for individual participants. New method: In this paper, we proposed a novel framework for investigating this relation based on an individual's magnetic resonance imaging (MRI) data. The key idea was to estimate the probability density function (PDF) of local morphological features within a brain region to provide a global description of this region. Then, the inter-regional relations were quantified by calculating the similarity of the PDFs for pairs of regions based on the Kullback-Leibler (KL) divergence. Results: For illustration, we applied this approach to a pre-post intervention study to investigate the longitudinal changes in morphological relations after long-term sleep deprivation. The results suggest the potential application of this new method for studies on individual differences in brain structure.Comparison with existing methods: The current method can be employed to estimate individual morphological relations between regions, which have been largely ignored by previous studies. Conclusions: Our morphological relation metric, as a novel quantitative biomarker, can be used to investigate normal individual variability and even within-individual alterations/abnormalities in brain structure.

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Neuronal Basis of the Slow (<1 Hz) Oscillation in Neurons of the Nucleus Reticularis ThalamiIn Vitro

Cited by 130 publications

References 53 publications

Spontaneous neural activity during human slow wave sleep

Spontaneous neural activity during human slow wave sleep

Spontaneous Bursting Activity in the Developing Entorhinal Cortex

Measuring individual morphological relationship of cortical regions

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