Sleep-EEG in patients with schizophrenia: Analysis of power spectra and dimensional complexity

Göder, Robert; Fritzer, Gunther; Boigs, Margret; Braun, Sisko; Aldenhoff, J. B.; Hinze-Selch, D.

doi:10.1055/s-2003-825341

Cited by 2 publications

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“…This link is best characterised in schizophrenia, 14 where deficits in sleep-dependent memory consolidation correlate with aberrant EEG signatures during NREM sleep. 15–17 Some studies report that deep NREM sleep is reduced in patients, 18–20 and attenuated SW power 21–23 has also been linked to cognitive deficits. 17,24,25 However, not all studies report SW abnormalities.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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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.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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“…This link is best characterized in schizophrenia (Manoach and Stickgold, 2009), where deficits in sleep-dependent memory consolidation correlate with aberrant EEG signatures during NREM sleep (Ferrarelli et al, 2010; Keshavan et al, 2011; Ramakrishnan et al, 2012). Some studies report that deep NREM sleep is reduced in patients (Monti and Monti, 2004; Sekimoto et al, 2007; Sarkar et al, 2010), and attenuated SW power (Keshavan et al, 1998; Hoffmann et al, 2000; Göder et al, 2003) has also been linked to cognitive deficits (Ganguli et al, 1987; Göder et al, 2006; Ramakrishnan et al, 2012). However, not all studies report SW abnormalities (Ferrarelli et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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

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et al. 2019

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The 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.

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Sleep-EEG in patients with schizophrenia: Analysis of power spectra and dimensional complexity

Cited by 2 publications

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

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

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

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