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      Selective neuronal lapses precede human cognitive lapses following sleep deprivation

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          Abstract

          Sleep deprivation (SD) is a major source of morbidity with widespread health effects including increased risks of hypertension, diabetes, obesity, heart attack, and stroke 1 . Moreover, SD brings about vehicle accidents and medical errors 24 , and is therefore an urgent topic of investigation. During SD, homeostatic and circadian processes interact to build up sleep pressure 5 that results in slow behavioral performance (cognitive lapses) typically attributed to attentional thalamic and fronto-parietal circuits 614 , but the underlying mechanisms remain unclear 3, 15 . Recently, it was found in human electroencephalogram (EEG) 16, 17 and in the local field potential (LFP) of non-human primates 18 and rodents 19 that during SD, regional ‘sleep-like’ slow/theta waves co-occur with impaired behavioral performance during wakefulness. Here we used intracranial electrodes to record single-neuron and LFP activities in human neurosurgical patients performing a face/non-face categorization psychomotor vigilance task (PVT) 2024 in multiple experimental sessions, including after full-night SD. We find that just before cognitive lapses, selective spiking responses of individual neurons in the medial temporal lobe (MTL) are attenuated, delayed, and lengthened. These ‘neuronal lapses’ are evident on a trial-by-trial basis comparing the slowest behavioral PVT reaction times to the fastest. Furthermore, during cognitive lapses LFPs exhibit a relative local increase in slow/theta activity that is correlated with degraded single-neuron responses and with baseline theta activity. Our results show that cognitive lapses involve local state-dependent changes in neuronal activity already in the MTL.

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          Most cited references38

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          Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.

          This study introduces a new method for detecting and sorting spikes from multiunit recordings. The method combines the wavelet transform, which localizes distinctive spike features, with superparamagnetic clustering, which allows automatic classification of the data without assumptions such as low variance or gaussian distributions. Moreover, an improved method for setting amplitude thresholds for spike detection is proposed. We describe several criteria for implementation that render the algorithm unsupervised and fast. The algorithm is compared to other conventional methods using several simulated data sets whose characteristics closely resemble those of in vivo recordings. For these data sets, we found that the proposed algorithm outperformed conventional methods.
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            Invariant visual representation by single neurons in the human brain.

            It takes a fraction of a second to recognize a person or an object even when seen under strikingly different conditions. How such a robust, high-level representation is achieved by neurons in the human brain is still unclear. In monkeys, neurons in the upper stages of the ventral visual pathway respond to complex images such as faces and objects and show some degree of invariance to metric properties such as the stimulus size, position and viewing angle. We have previously shown that neurons in the human medial temporal lobe (MTL) fire selectively to images of faces, animals, objects or scenes. Here we report on a remarkable subset of MTL neurons that are selectively activated by strikingly different pictures of given individuals, landmarks or objects and in some cases even by letter strings with their names. These results suggest an invariant, sparse and explicit code, which might be important in the transformation of complex visual percepts into long-term and more abstract memories.
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              Natural waking and sleep states: a view from inside neocortical neurons.

              In this first intracellular study of neocortical activities during waking and sleep states, we hypothesized that synaptic activities during natural states of vigilance have a decisive impact on the observed electrophysiological properties of neurons that were previously studied under anesthesia or in brain slices. We investigated the incidence of different firing patterns in neocortical neurons of awake cats, the relation between membrane potential fluctuations and firing rates, and the input resistance during all states of vigilance. In awake animals, the neurons displaying fast-spiking firing patterns were more numerous, whereas the incidence of neurons with intrinsically bursting patterns was much lower than in our previous experiments conducted on the intact-cortex or isolated cortical slabs of anesthetized cats. Although cortical neurons displayed prolonged hyperpolarizing phases during slow-wave sleep, the firing rates during the depolarizing phases of the slow sleep oscillation was as high during these epochs as during waking and rapid-eye-movement sleep. Maximum firing rates, exceeding those of regular-spiking neurons, were reached by conventional fast-spiking neurons during both waking and sleep states, and by fast-rhythmic-bursting neurons during waking. The input resistance was more stable and it increased during quiet wakefulness, compared with sleep states. As waking is associated with high synaptic activity, we explain this result by a higher release of activating neuromodulators, which produce an increase in the input resistance of cortical neurons. In view of the high firing rates in the functionally disconnected state of slow-wave sleep, we suggest that neocortical neurons are engaged in processing internally generated signals.
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                Author and article information

                Journal
                9502015
                8791
                Nat Med
                Nat. Med.
                Nature medicine
                1078-8956
                1546-170X
                25 October 2017
                06 November 2017
                December 2017
                06 May 2018
                : 23
                : 12
                : 1474-1480
                Affiliations
                [1 ]Department of Physiology and Pharmacology, Sackler School of Medicine, and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel
                [2 ]Laboratoire de Sciences Cognitives et Psycholinguistique (UMR8554), EHESS/CNRS/ENS-DEC, 75005 Paris, France
                [3 ]Ecole Doctorale Cerveau Cognition Comportement, ENS/EHESS/ParisVI/ParisV, 75005 Paris, France
                [4 ]Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd, Madison, WI, 53719, USA
                [5 ]Departments of Neurosurgery, Psychiatry, and Biobehavioral Sciences, David Geffen School of Medicine and Semel Institute For Neuroscience and Human Behavior, UCLA, 710 Westwood Plaza, Los Angeles, CA 90095, USA
                [6 ]Functional Neurosurgery Unit, Tel Aviv Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
                Author notes
                [*]

                Equal senior authorship

                Article
                NIHMS910982
                10.1038/nm.4433
                5720899
                29106402
                99eb0e6e-2124-49d6-8584-217470a5c3bd

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