Altered Neural Responses to Sounds in Primate Primary Auditory Cortex during Slow-Wave Sleep

Issa, Elias B.; Wang, Xiaoqin

doi:10.1523/jneurosci.4920-10.2011

Cited by 46 publications

(35 citation statements)

References 37 publications

(62 reference statements)

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“…This finding demonstrates that, even during deep sleep, sounds related to previously studied material can be processed differently from unstudied auditory stimuli. This outcome argues against the traditional view that our brain is shut off from the external world during deep sleep and is in line with recent electrophysiological findings in nonhuman primates (27,28). Interestingly, the parahippocampal region that was active during sleep overlapped with the area that was involved in active retrieval of the object-location pairs during the presleep test.…”

Section: Discussionsupporting

confidence: 70%

Memory stabilization with targeted reactivation during human slow-wave sleep

Dongen

Takashima

Barth³

et al. 2012

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

120

106

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It is believed that neural representations of recent experiences become reactivated during sleep, and that this process serves to stabilize associated memories in long-term memory. Here, we initiated this reactivation process for specific memories during slow-wave sleep. Participants studied 50 object-location associations with object-related sounds presented concurrently. For half of the associations, the related sounds were re-presented during subsequent slow-wave sleep while participants underwent functional MRI. Compared with control sounds, related sounds were associated with increased activation of right parahippocampal cortex. Postsleep memory accuracy was positively correlated with sound-related activation during sleep in various brain regions, including the thalamus, bilateral medial temporal lobe, and cerebellum. In addition, postsleep memory accuracy was also positively correlated with pre-to postsleep changes in parahippocampal-medial prefrontal connectivity during retrieval of reactivated associations. Our results suggest that the brain is differentially activated by studied and unstudied sounds during deep sleep and that the thalamus and medial temporal lobe are involved in establishing the mnemonic consequences of externally triggered reactivation of associative memories.consolidation | neuroimaging | EEG-functional MRI | replay

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Section: Discussionsupporting

confidence: 70%

Memory stabilization with targeted reactivation during human slow-wave sleep

Dongen

Takashima

Barth³

et al. 2012

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

120

106

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“…Given that sensory neural activity is known to be highly state dependent (Atiani et al, 2009; Fontanini and Katz, 2008; Issa and Wang, 2011; Livingstone and Hubel, 1981; Marguet and Harris, 2011; Niell and Stryker, 2010; Otazu et al, 2009; Zhou et al, 2014), we predicted that auditory evoked responses would be strongly correlated with our measure of state (pupil diameter) and would exhibit an optimal state. To test this hypothesis, we presented a sequence of 6 complex sounds (TORCs) in random order to mice trained in the detection task, while performing extracellular multi-unit (MU) recordings (n=18; N=6) or whole-cell recordings from ACtx neurons targeted to layers 4 and 5 (Fig.…”

Section: Resultsmentioning

confidence: 99%

Cortical Membrane Potential Signature of Optimal States for Sensory Signal Detection

McGinley

David

McCormick

2015

Neuron

681

148

1,100

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The neural correlates of optimal states for signal detection task performance are largely unknown. One hypothesis holds that optimal states exhibit tonically depolarized cortical neurons with enhanced spiking activity, such as occur during movement. We recorded membrane potentials of auditory cortical neurons in mice trained on a challenging tone-in-noise detection task while assessing arousal with simultaneous pupillometry and hippocampal recordings. Arousal measures accurately predicted multiple modes of membrane potential activity, including: rhythmic slow oscillations at low arousal, stable hyperpolarization at intermediate arousal, and depolarization during phasic or tonic periods of hyper-arousal. Walking always occurred during hyper-arousal. Optimal signal detection behavior and sound-evoked responses, at both sub-threshold and spiking levels, occurred at intermediate arousal when pre-decision membrane potentials were stably hyperpolarized. These results reveal a cortical physiological signature of the classically-observed inverted-U relationship between task performance and arousal, and that optimal detection exhibits enhanced sensory-evoked responses and reduced background synaptic activity.

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“…Therefore, the effect of brain state on response latency in the barrel cortex may be too small to be detectable. Another study in the primary auditory cortex of marmosets also found no difference in response latency between slow-wave sleep and awake state (44). Because the awake state includes both synchronized and desynchronized states, identification of state-dependent response latency in the auditory cortex may require further studies that more precisely define the brain state.…”

Section: Brain State Modulation Of Response Latency In Various Sensorymentioning

confidence: 99%

Cumulative latency advance underlies fast visual processing in desynchronized brain state

Wang

Chen

Zhang

et al. 2013

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

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Fast sensory processing is vital for the animal to efficiently respond to the changing environment. This is usually achieved when the animal is vigilant, as reflected by cortical desynchronization. However, the neural substrate for such fast processing remains unclear. Here, we report that neurons in rat primary visual cortex (V1) exhibited shorter response latency in the desynchronized state than in the synchronized state. In vivo whole-cell recording from the same V1 neurons undergoing the two states showed that both the resting and visually evoked conductances were higher in the desynchronized state. Such conductance increases of single V1 neurons shorten the response latency by elevating the membrane potential closer to the firing threshold and reducing the membrane time constant, but the effects only account for a small fraction of the observed latency advance. Simultaneous recordings in lateral geniculate nucleus (LGN) and V1 revealed that LGN neurons also exhibited latency advance, with a degree smaller than that of V1 neurons. Furthermore, latency advance in V1 increased across successive cortical layers. Thus, latency advance accumulates along various stages of the visual pathway, likely due to a global increase of membrane conductance in the desynchronized state. This cumulative effect may lead to a dramatic shortening of response latency for neurons in higher visual cortex and play a critical role in fast processing for vigilant animals.state-dependent temporal processing | synaptic inputs | hierarchical accumulation F ast reaction is essential for the survival of animals, such as when detecting and fleeing a predator. Humans or animals react rapidly in a vigilant state (1-3). The vigilance level of animals (also humans) varies with brain state, which can be characterized by the patterns of population activities measured by electroencephalogram (EEG) and local field potential (LFP) (4, 5). Although brain state exhibits diverse activity patterns, it can be broadly classified into a desynchronized state dominated by small-amplitude, high-frequency activities, and a synchronized state dominated by large-amplitude, low-frequency fluctuations (4, 5). The brain operates in the desynchronized state when the animal is alert or vigilant, whereas it operates in the synchronized state when the animal is quiescent or drowsy (4, 5). To understand the neural substrate for fast processing in the vigilant state, it is important to compare response latencies in the two brain states for sensory cortical neurons, which are at the initial stage along the sensorimotor pathway.Brain state has a dominant impact on both resting properties (6, 7) and sensory evoked responses (4, 8, 9) of cortical neurons. For the visual system, although brain state or behavioral state can modulate response amplitude, spatial receptive field, and temporal frequency tuning of the neurons in the early visual pathway (10-13), it is not clear whether brain state can modulate response latency of primary visual cortex (V1) neurons. Furthermore, the ...

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Altered Neural Responses to Sounds in Primate Primary Auditory Cortex during Slow-Wave Sleep

Cited by 46 publications

References 37 publications

Memory stabilization with targeted reactivation during human slow-wave sleep

Memory stabilization with targeted reactivation during human slow-wave sleep

Cortical Membrane Potential Signature of Optimal States for Sensory Signal Detection

Cumulative latency advance underlies fast visual processing in desynchronized brain state

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