scholarly journals Author Correction: Human brain patterns underlying vigilant attention: impact of sleep debt, circadian phase and attentional engagement

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Micheline Maire ◽  
Carolin F. Reichert ◽  
Virginie Gabel ◽  
Antoine U. Viola ◽  
Christophe Phillips ◽  
...  
Keyword(s):  
Human Brain ◽  
Circadian Phase ◽  
Sleep Debt ◽  
Attentional Engagement

scholarly journals Human brain patterns underlying vigilant attention: impact of sleep debt, circadian phase and attentional engagement

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Micheline Maire ◽  
Carolin F. Reichert ◽  
Virginie Gabel ◽  
Antoine U. Viola ◽  
Christophe Phillips ◽  
...  
Keyword(s):  
Human Brain ◽  
Circadian Phase ◽  
Sleep Debt ◽  
Attentional Engagement

scholarly journals 0289 What is the Optimal Duration to Sleep in on Weekends?

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A109-A109
Author(s):  
J E Stone ◽  
F Cheong ◽  
A J Phillips
Keyword(s):  
Rise Time ◽  
Free Choice ◽  
Sleep Onset ◽  
Timing Constraints ◽  
Circadian Phase ◽  
Late Night ◽  
Sleep Timing ◽  
Sleep Debt ◽  
Wake Patterns ◽  
Night Condition

Abstract Introduction Most individuals in the workforce exhibit differing sleep/wake patterns between work days and weekends. Work days are typically characterized by shorter and earlier sleep. On weekends, sleep debt is repaid by sleeping later and longer, often due to evening events. While social jet-lag (the mismatch in work vs. free sleep timing) is associated with poor health outcomes, repaying sleep debt is beneficial to health. The degree to which individuals should sleep in on weekends is currently unknown. Methods We used a mathematical model of human sleep/wake timing, which has been validated for predicting sleep/wake patterns in a variety of field/lab conditions. Sleep timing constraints are inputs, and the model generates predicted sleep/wake patterns and alertness levels. We simulated a traditional 7-day work week, with 7am rise times on week days. Inter-individual differences in chronotype were modeled by varying intrinsic circadian period. The model was applied to two conditions: (i) free choice of sleep onset times on weekends; or (ii) late nights on weekends (2am bedtime). Weekend rise time was systematically varied to optimize predicted daytime alertness. Results Optimal weekend rise times varied as a function of chronotype. With free choice sleep onset times, the model predicted optimal rise time was later for late types than early types, ranging from 7:20 to 8:40am across individuals. Sleeping later than optimal was associated with poorer performance due to misaligned circadian phase. The same trend was observed in the late-night condition, but with later optimal rise times, ranging from 8:30 to 9:50am. Conclusion Although individuals should maintain a consistent sleep/wake pattern on all days of the week, they often do not, due to work or social commitments. Within real-world constraints, we provided the first objective recommendations for sleep timing on the weekend, finding a compromise between repaying sleep debt and avoiding circadian misalignment. Support N/A

scholarly journals Local modulation of human brain responses by circadian rhythmicity and sleep debt

Science ◽  
2016 ◽  
Vol 353 (6300) ◽  
pp. 687-690 ◽  
Author(s):  
V. Muto ◽  
M. Jaspar ◽  
C. Meyer ◽  
C. Kusse ◽  
S. L. Chellappa ◽  
...  
Keyword(s):  
Human Brain ◽  
Circadian Rhythmicity ◽  
Brain Responses ◽  
Sleep Debt ◽  
Local Modulation

scholarly journals Identifying and validating blood mRNA biomarkers for acute and chronic insufficient sleep in humans: a machine learning approach

SLEEP ◽  
2018 ◽  
Vol 42 (1) ◽  
Author(s):  
Emma E Laing ◽  
Carla S Möller-Levet ◽  
Derk-Jan Dijk ◽  
Simon N Archer
Keyword(s):  
Age Groups ◽  
Sleep Loss ◽  
Cellular Stress Response ◽  
Protein Activity ◽  
Insufficient Sleep ◽  
Circadian Phase ◽  
Protein Ubiquitination ◽  
Sleep Debt ◽  
The Unfolded Protein Response ◽  
Chronic Sleep

Abstract Acute and chronic insufficient sleep are associated with adverse health outcomes and risk of accidents. There is therefore a need for biomarkers to monitor sleep debt status. None are currently available. We applied elastic net and ridge regression to transcriptome samples collected in 36 healthy young adults during acute total sleep deprivation and following 1 week of either chronic insufficient (<6 hr) or sufficient sleep (~8.6 hr) to identify panels of mRNA biomarkers of sleep debt status. The size of identified panels ranged from 9 to 74 biomarkers. Panel performance, assessed by leave-one-subject-out cross-validation and independent validation, varied between sleep debt conditions. Using between-subject assessments based on one blood sample, the accuracy of classifying “acute sleep loss” was 92%, but only 57% for classifying “chronic sleep insufficiency.” A reasonable accuracy for classifying “chronic sleep insufficiency” could only be achieved by a within-subject comparison of blood samples. Biomarkers for sleep debt status showed little overlap with previously identified biomarkers for circadian phase. Biomarkers for acute and chronic sleep loss also showed little overlap but were associated with common functions related to the cellular stress response, such as heat shock protein activity, the unfolded protein response, protein ubiquitination and endoplasmic reticulum-associated protein degradation, and apoptosis. This characteristic response of whole blood to sleep loss can further aid our understanding of how sleep insufficiencies negatively affect health. Further development of these novel biomarkers for research and clinical practice requires validation in other protocols and age groups.

Language processing is not a race against time

2016 ◽  
Vol 39 ◽  
Author(s):  
Giosuè Baggio ◽  
Carmelo M. Vicario
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Language Processing ◽  
Cognitive Functions ◽  
Memory Systems ◽  
Language System ◽  
Moderating Factors

AbstractWe agree with Christiansen & Chater (C&C) that language processing and acquisition are tightly constrained by the limits of sensory and memory systems. However, the human brain supports a range of cognitive functions that mitigate the effects of information processing bottlenecks. The language system is partly organised around these moderating factors, not just around restrictions on storage and computation.

Structural and Chemical Studies of Pathological Fibers in Human Neurofibrillary Degeneration

1985 ◽  
Vol 43 ◽  
pp. 726-729
Author(s):  
K.S. Kosik ◽  
L.K. Duffy ◽  
S. Bakalis ◽  
C. Abraham ◽  
D.J. Selkoe
Keyword(s):  
Monoclonal Antibodies ◽  
Alzheimer Disease ◽  
Human Brain ◽  
Neurofibrillary Tangles ◽  
Morphological Analysis ◽  
High Specificity ◽  
Cytoskeletal Proteins ◽  
Neuritic Plaque ◽  
Protein Chemistry ◽  
Chemical Studies

The major structural lesions of the human brain during aging and in Alzheimer disease (AD) are the neurofibrillary tangles (NFT) and the senile (neuritic) plaque. Although these fibrous alterations have been recognized by light microscopists for almost a century, detailed biochemical and morphological analysis of the lesions has been undertaken only recently. Because the intraneuronal deposits in the NFT and the plaque neurites and the extraneuronal amyloid cores of the plaques have a filamentous ultrastructure, the neuronal cytoskeleton has played a prominent role in most pathogenetic hypotheses.The approach of our laboratory toward elucidating the origin of plaques and tangles in AD has been two-fold: the use of analytical protein chemistry to purify and then characterize the pathological fibers comprising the tangles and plaques, and the use of certain monoclonal antibodies to neuronal cytoskeletal proteins that, despite high specificity, cross-react with NFT and thus implicate epitopes of these proteins as constituents of the tangles.

Toward a neuroscope: An application of high-performance computing for real-time evaluation of brain function using MRI

1994 ◽  
Vol 52 ◽  
pp. 922-923
Author(s):  
C. S. Potter ◽  
C. D. Gregory ◽  
H. D. Morris ◽  
Z.-P. Liang ◽  
P. C. Lauterbur
Keyword(s):  
Human Brain ◽  
Brain Function ◽  
High Performance ◽  
Complex Signal ◽  
Time Step ◽  
Brain Organization ◽  
Cognitive Studies ◽  
Positron Emission ◽  
Imaging And Spectroscopy ◽  
3D Anatomy

Over the past few years, several laboratories have demonstrated that changes in local neuronal activity associated with human brain function can be detected by magnetic resonance imaging and spectroscopy. Using these methods, the effects of sensory and motor stimulation have been observed and cognitive studies have begun. These new methods promise to make possible even more rapid and extensive studies of brain organization and responses than those now in use, such as positron emission tomography.Human brain studies are enormously complex. Signal changes on the order of a few percent must be detected against the background of the complex 3D anatomy of the human brain. Today, most functional MR experiments are performed using several 2D slice images acquired at each time step or stimulation condition of the experimental protocol. It is generally believed that true 3D experiments must be performed for many cognitive experiments. To provide adequate resolution, this requires that data must be acquired faster and/or more efficiently to support 3D functional analysis.

Attentional Bias Among Adolescents Who Stutter: Evidence for a Vigilance–Avoidance Effect

2020 ◽  
Vol 63 (10) ◽  
pp. 3349-3363
Author(s):  
Naomi H. Rodgers ◽  
Jennifer Y. F. Lau ◽  
Patricia M. Zebrowski
Keyword(s):  
Social Anxiety ◽  
Attentional Bias ◽  
Preliminary Evidence ◽  
Cutoff Score ◽  
Attentional Disengagement ◽  
Social Stimuli ◽  
Facial Stimuli ◽  
The Social ◽  
Attentional Engagement ◽  
High Social Anxiety

Purpose The purpose of this study was to examine group and individual differences in attentional bias toward and away from socially threatening facial stimuli among adolescents who stutter and age- and sex-matched typically fluent controls. Method Participants included 86 adolescents (43 stuttering, 43 controls) ranging in age from 13 to 19 years. They completed a computerized dot-probe task, which was modified to allow for separate measurement of attentional engagement with and attentional disengagement from facial stimuli (angry, fearful, neutral expressions). Their response time on this task was the dependent variable. Participants also completed the Social Anxiety Scale for Adolescents (SAS-A) and provided a speech sample for analysis of stuttering-like behaviors. Results The adolescents who stutter were more likely to engage quickly with threatening faces than to maintain attention on neutral faces, and they were also more likely to disengage quickly from threatening faces than to maintain attention on those faces. The typically fluent controls did not show any attentional preference for the threatening faces over the neutral faces in either the engagement or disengagement conditions. The two groups demonstrated equivalent levels of social anxiety that were both, on average, very close to the clinical cutoff score for high social anxiety, although degree of social anxiety did not influence performance in either condition. Stuttering severity did not influence performance among the adolescents who stutter. Conclusion This study provides preliminary evidence for a vigilance–avoidance pattern of attentional allocation to threatening social stimuli among adolescents who stutter.

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