scholarly journals Neurophysiological predictors of memory impairment in schizophrenia: decoupled slow-wave dynamics during non-REM sleep

2019 ◽  
Author(s):  
Ullrich Bartsch ◽  
Andrew Simpkin ◽  
Charmaine Demanuele ◽  
Erin Wamsley ◽  
Hugh Marston ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Long Range ◽  
Memory Consolidation ◽  
Network Activity ◽  
Rapid Eye Movement Sleep ◽  
Least Squares Regression ◽  
Motor Sequence ◽  
Wave Dynamics ◽  
Sequence Memory ◽  
Phase Amplitude

AbstractThe slow-waves (SW) of non-rapid eye movement sleep (NREM) reflect neocortical components of network activity during sleep-dependent information processing; their disruption may therefore contribute to impaired memory consolidation. Here, we quantify SW dynamics relative to motor sequence memory in patients suffering schizophrenia and healthy volunteers.Patients showed normal intrinsic SW properties but impaired SW coherence, which failed to exhibit the learning-dependent increases evident in healthy volunteers. SW-spindle phase amplitude coupling across distributed EEG electrodes was also dissociated from experience in patients, with long-range fronto-parietal and -occipital networks most severely affected. Partial least squares regression modelling confirmed distributed SW coherence and SW-spindle coordination as predictors of overnight memory consolidation in healthy controls, but not in patients.Quantifying the full repertoire of NREM EEG oscillations and their long-range covariance therefore presents learning-dependent changes in distributed SW and spindle coordination as fingerprints of impaired cognition in schizophrenia.

scholarly journals Distributed slow-wave dynamics during sleep predict memory consolidation and its impairment in schizophrenia

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Ullrich Bartsch ◽  
Andrew J. Simpkin ◽  
Charmaine Demanuele ◽  
Erin Wamsley ◽  
Hugh M. Marston ◽  
...  
Keyword(s):  
Memory Consolidation ◽  
Partial Least Squares Regression ◽  
Nrem Sleep ◽  
Network Activity ◽  
Healthy Controls ◽  
Least Squares Regression ◽  
Motor Sequence ◽  
Wave Dynamics ◽  
Sequence Memory ◽  
Phase Amplitude

Abstract The slow waves (SW) of non-rapid eye movement (NREM) sleep reflect neocortical components of network activity during sleep-dependent information processing; their disruption may therefore impair memory consolidation. Here, we quantify sleep-dependent consolidation of motor sequence memory, alongside sleep EEG-derived SW properties and synchronisation, and SW–spindle coupling in 21 patients suffering from schizophrenia and 19 healthy volunteers. Impaired memory consolidation in patients culminated in an overnight improvement in motor sequence task performance of only 1.6%, compared with 15% in controls. During sleep after learning, SW amplitudes and densities were comparable in healthy controls and patients. However, healthy controls showed a significant 45% increase in frontal-to-occipital SW coherence during sleep after motor learning in comparison with a baseline night (baseline: 0.22 ± 0.05, learning: 0.32 ± 0.05); patient EEG failed to show this increase (baseline: 0.22 ± 0.04, learning: 0.19 ± 0.04). The experience-dependent nesting of spindles in SW was similarly disrupted in patients: frontal-to-occipital SW–spindle phase-amplitude coupling (PAC) significantly increased after learning in healthy controls (modulation index baseline: 0.17 ± 0.02, learning: 0.22 ± 0.02) but not in patients (baseline: 0.13 ± 0.02, learning: 0.14 ± 0.02). Partial least-squares regression modelling of coherence and PAC data from all electrode pairs confirmed distributed SW coherence and SW–spindle coordination as superior predictors of overnight memory consolidation in healthy controls but not in patients. Quantifying the full repertoire of NREM EEG oscillations and their long-range covariance therefore presents learning-dependent changes in distributed SW and spindle coordination as fingerprints of impaired cognition in schizophrenia.

scholarly journals Schizophrenia-associated variation at ZNF804A correlates with altered experience-dependent dynamics of sleep slow waves and spindles in healthy young adults

SLEEP ◽  
2021 ◽  
Author(s):  
Ullrich Bartsch ◽  
Laura J Corbin ◽  
Charlotte Hellmich ◽  
Michelle Taylor ◽  
Kayleigh E Easey ◽  
...  
Keyword(s):  
Memory Consolidation ◽  
Neural Circuit ◽  
Activity Patterns ◽  
Nrem Sleep ◽  
Network Activity ◽  
Healthy Population ◽  
Adult Males ◽  
Motor Sequence ◽  
Performance Improvements ◽  
Common Genetic Variants

Abstract The rs1344706 polymorphism in ZNF804A is robustly associated with schizophrenia and schizophrenia is, in turn, associated with abnormal non-rapid eye movement (NREM) sleep neurophysiology. To examine whether rs1344706 is associated with intermediate neurophysiological traits in the absence of disease, we assessed the relationship between genotype, sleep neurophysiology, and sleep-dependent memory consolidation in healthy participants. We recruited healthy adult males with no history of psychiatric disorder from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. Participants were homozygous for either the schizophrenia-associated ‘A’ allele (N=22) or the alternative ‘C’ allele (N=18) at rs1344706. Actigraphy, polysomnography (PSG) and a motor sequence task (MST) were used to characterize daily activity patterns, sleep neurophysiology and sleep-dependent memory consolidation. Average MST learning and sleep-dependent performance improvements were similar across genotype groups, albeit more variable in the AA group. During sleep after learning, CC participants showed increased slow-wave (SW) and spindle amplitudes, plus augmented coupling of SW activity across recording electrodes. SW and spindles in those with the AA genotype were insensitive to learning, whilst SW coherence decreased following MST training. Accordingly, NREM neurophysiology robustly predicted the degree of overnight motor memory consolidation in CC carriers, but not in AA carriers. We describe evidence that rs1344706 polymorphism in ZNF804A is associated with changes in the coordinated neural network activity that supports offline information processing during sleep in a healthy population. These findings highlight the utility of sleep neurophysiology in mapping the impacts of schizophrenia-associated common genetic variants on neural circuit oscillations and function.

scholarly journals 0112 Sleep-Dependent Motor Sequence Memory Consolidation in Individuals with Periodic Limb Movements

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A44-A44
Author(s):  
L B Ray ◽  
V Sergeeva ◽  
J Viczko ◽  
A M Owen ◽  
S M Fogel
Keyword(s):  
Memory Consolidation ◽  
Periodic Limb Movements ◽  
Motor Sequence ◽  
Limb Movements ◽  
Sequence Memory

Sleep-dependent motor sequence memory consolidation in individuals with periodic limb movements

2017 ◽  
Vol 40 ◽  
pp. e276
Author(s):  
L.B. Ray ◽  
V. Sergeeva ◽  
J. Viczko ◽  
A.M. Owen ◽  
S.M. Fogel
Keyword(s):  
Memory Consolidation ◽  
Periodic Limb Movements ◽  
Motor Sequence ◽  
Limb Movements ◽  
Sequence Memory

Sleep Increases Amplitude of Mu-Beta Oscillations during Motor Sequence Memory Consolidation

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S55
Author(s):  
G. Albouy ◽  
F. Lecaignard ◽  
C. Delpuech ◽  
P.E. Aguera ◽  
P.H. Luppi ◽  
...  
Keyword(s):  
Memory Consolidation ◽  
Motor Sequence ◽  
Beta Oscillations ◽  
Sequence Memory

scholarly journals Slow oscillations provide the spatio-temporal framework for long-range neural communication during sleep

2021 ◽  
Author(s):  
Hamid Niknazar ◽  
Sara Mednick ◽  
Paola Malerba
Keyword(s):  
Episodic Memory ◽  
Eye Movement ◽  
Long Range ◽  
Information Flow ◽  
Memory Consolidation ◽  
Rapid Eye Movement ◽  
Rapid Eye Movement Sleep ◽  
Causal Information ◽  
Slow Oscillations ◽  
Memory Improvement

Slow oscillations (SOs, <1Hz) during non-rapid eye movement sleep are thought to reflect sleep homeostasis and support memory consolidation. Yet, the fundamental properties of SOs and their impact on neural network communication are not understood. We used effective connectivity to estimate causal information flow across the electrode manifold during SOs and found two peak of information flow in specific phases of the SO. We show causal communication during non-rapid eye movement sleep peaks during specific phases of the SO, but only across long distances. We confirmed this prediction by cluster analysis demonstrating greater flow in global, compared with local, SOs. Finally, we tested the functional significance of these results by examining which SO properties supported overnight episodic memory improvement, with the underlying assumption that memory consolidation would engage global, long-range communication. Indeed, episodic memory improvement was predicted only by the SO properties with greatest causal information flow, i.e., longest distances between sinks and sources and global, but not local, SOs. These findings explain how NREM sleep (characterized as a state of low brain connectivity) leverages SO-induced selective information flow to coordinate a wide network of brain regions during memory formation.

Hippocampus and striatum: Dynamics and interaction during acquisition and sleep-related motor sequence memory consolidation

Hippocampus ◽  
2013 ◽  
Vol 23 (11) ◽  
pp. 985-1004 ◽  
Author(s):  
Geneviève Albouy ◽  
Bradley R. King ◽  
Pierre Maquet ◽  
Julien Doyon
Keyword(s):  
Memory Consolidation ◽  
Motor Sequence ◽  
Sequence Memory
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