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Cognitive behavioral therapy for insomnia (CBT-I) is now widely recognized as the first-line management strategy for insomnia, both for insomnia in its "pure" form, and when comorbid with a physical or psychological illness. However, there is a definite need to develop and test both alternative and adjunct interventions to CBT-I, before implementing them into routine practice. The aim of this article is to provide a narrative review of the literature with regard to what is known about the influence of partners on sleep, insomnia, and its management., (Crown Copyright © 2022. Published by Elsevier Inc. All rights reserved.)

The relationship between certain personality disorders (PDs) and insomnia has been the object of few studies in recent years. Even though it is not indicated to use polysomnography to diagnose insomnia, objective measures have shown sleep abnormalities in individuals with a personality disorder and insomnia. Interestingly, there is increasing evidence that emotion dysregulation is involved in a mutually aggravating relationship between Borderline Personality Disorder (BPD) and insomnia. While BPD traits are highly associated with suicide ideation and attempts, these behaviors could be potentiated or enhanced in individuals presenting sleep disturbances. Because BPD and other mental disorders are often linked with the use of medication or other substances, it is also important to review the association between substance use disorders (SUD) and insomnia. SUD can disrupt sleep and foster insomnia, which in turn might increase motivation to use substances. Insomnia has also been shown to precede (i.e., predict) SUD, and can be present during withdrawal as well. These results highlight the need to assess and treat insomnia when working with patients who present a PD or SUD., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Insomnia sufferers (INS) are cortically hyperaroused during sleep, which seems to translate into altered information processing during nighttime. While information processing, as measured by event-related potentials (ERPs), during wake appears to be associated with sleep quality of the preceding night, the existence of such an association during nighttime has never been investigated. This study aims to investigate nighttime information processing among good sleepers (GS) and INS while considering concomitant sleep quality. Following a multistep clinical evaluation, INS and GS participants underwent 4 consecutive nights of PSG recordings in the sleep laboratory. Thirty nine GS (mean age 34.56±9.02) and twenty nine INS (mean age 43.03±9.12) were included in the study. ERPs (N1, P2, N350) were recorded all night on Night 4 (oddball paradigm) during NREM sleep. Regardless of sleep quality, INS presented a larger N350 amplitude during SWS (p=0.042) while GS showed a larger N350 amplitude during late-night stage 2 sleep (p=0.004). Regardless of diagnosis, those who slept objectively well showed a smaller N350 amplitude (p=0.020) while those who slept subjectively well showed a smaller P2 (p<0.001) and N350 amplitude (p=0.006). Also, those who reported an objectively bad night as good showed smaller P2 (p< 0.001) and N350 (p=0.010) amplitudes. Information processing seems to be associated with concomitant subjective and objective sleep quality for both GS and INS. However, INS show an alteration in information processing during sleep, especially for inhibition processes, regardless of their sleep quality., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Study Objectives: The objective was to study REM sleep macrostructure and microstructure as potential indicators of hyperarousal in insomnia by comparing good sleepers (GS) and insomnia sufferers (INS) (subdivided into psychophysiological "PSY-I" and paradoxical "PARA-I")., Design: Cross-sectional comparisons of GS, PSY-I and PARA-I., Setting: Participants slept for 4 consecutive nights in the laboratory where PSG was recorded. Nights 2 and 3 were combined to compare REM sleep between groups., Participants: Thirty-nine PSY-I, 27 PARA-I and 47 GS completed the study, comprising home questionnaires, clinical interviews and night PSG recordings. All participants were aged between 25 and 55 and met inclusion criteria for either PSY-I, PARA-I or GS., Interventions N/a Measurements and Results: Results showed no between group differences on REM sleep macrostructure. As for REM sleep microstructure, PSY-I had an increased number of wake intrusions compared to PARA-I (p=.03). Subjective SE, TST and TWT were significantly correlated with the duration of REM sleep (REMD; p≤.002) and with the proportion of REM sleep for PARA-I (p≤.06)., Conclusions: REM sleep macrostructure does not seem to be an adequate indicator of hyperarousal in insomnia. However, the number of wake intrusions in REM could be used to differentiate PSY-I from PARA-I and could reflect the heightened arousal of the former group. Relationships between REM sleep duration and proportion could be linked to dream imagery activity, especially in PARA-I. Further investigations are needed to identify variables that could reflect hyperarousal and differentiate insomnia types., (Copyright © 2015 Elsevier B.V. All rights reserved.)

The objectives of the study were to examine EEG activities using power spectral analysis (PSA) of good sleepers (GS), psychophysiological (PsyI) and paradoxical (ParI) insomnia sufferers on two consecutive nights. Participants completed three nights of PSG recordings in a sleep laboratory following a clinical evaluation. Participants were 26 PsyI, 20 ParI and 21 GS (mean age=40 years, SD=9.4). All sleep cycles of Nights 2 and 3 were retained for PSA. The absolute and relative activity in frequency bands (0.00 to 125.00 Hz) were computed at multiple frontal, central and parietal sites in REM and NREM sleep. Mixed model ANOVAs were performed with absolute and relative PSA data to assess differences between groups and nights. Over the course of the two nights, more absolute delta activity at F3, C3, and P3 was observed in ParI compared with PsyI suggesting deactivation of the left hemisphere in ParI and/or hyperactivation in PsyI. Further analysis on absolute PSA data revealed that differences between groups relate mostly to NREM. In REM, lower relative activity in slower frequency bands was found in ParI in comparison with GS and less relative theta activity was found in PsyI compared with GS implying higher activation in insomnia. In addition, between nights variability has been found in absolute powers of faster frequency bands (beta to omega). Signs of decreased cortical activity in absolute PSA in NREM combined with increased relative cortical activation in REM were found in ParI which might contribute to the misperception of sleep in ParI., (Copyright © 2013 Elsevier B.V. All rights reserved.)

Preliminary QEEG studies suggest that individuals with paradoxical insomnia (Para-I) display higher cortical arousal than those with psychophysiological insomnia (Psy-I). Lately, finer measures, such as event-related potentials, and especially the N1 and P2 components have been used to document arousal processes in individuals with insomnia. The objective of the present study was to further circumscribe arousal in Psy-I and Para-I using N1, P2 and the waking processing negativity (wPN). N1 and P2 were recorded in the evening, at sleep-onset and in early stage 2 sleep in 26 good sleepers, 26 Psy-I and 26 Para-I. An oddball paradigm was used and participants received the instruction to ignore all stimuli at all times. Three difference waves (wPNs) were computed to evaluate the transition from wakefulness to sleep onset, from sleep onset to sleep and from wakefulness to sleep. Results revealed that N1 was smaller during wakefulness and sleep onset for Psy-I, while it was larger for Para-I during these same times. P2 was smaller at sleep onset for Psy-I than for Para-I and GS, while P2 during wakefulness and stage 2 sleep was larger for Para-I than GS. WPNs revealed that Psy-I showed fewer changes in information processing, while Para-I showed larger changes between recording times. Psy-I appear to present an inability to inhibit information processing during sleep onset, while Para-I seem to present overall enhanced attentional processing that results in a greater need for inhibition., (Copyright © 2011 Elsevier B.V. All rights reserved.)

Introduction: Our recent ERPs study suggested inhibition deficits in addition to cortical arousal in insomnia sufferers (INS) relative to good sleepers (GS). The aim of the present study was to investigate the relation between objective sleep parameters and the amplitudes and latencies of ERPs components N1 and P2 in a multi-assessment protocol., Methods: Participants, 15 INS and 16 GS, underwent four consecutive nights of polysomnography recordings (N1 to N4). ERPs in the evening and upon awakening were recorded on N3 and N4, with the addition of sleep-onset recordings on N4. Auditory stimuli consisted of 'standard' and 'deviant' tones. Objective sleep measures were computed on each night [sleep efficiency (SE), wake after sleep onset (WASO), total sleep time (TST) and sleep-onset latency (SOL)]. The amplitude and latency of N1 and P2 components were assessed for each recorded session on each night and related to measures of sleep of the same nights (N3 and N4)., Results: Pearson's correlations between the amplitude and latency of N1 and P2 and objective sleep measures revealed that arousal levels in the evening, before going to bed seem to have an impact on subsequent sleep quality. Furthermore, the sleep quality of the previous night also appeared to have an impact on morning (daily) arousal levels., Conclusion: These results suggest that hyperactivation and inhibition deficits present in insomnia sufferers are directly associated with a poorer sleep quality. This highlights once again that when information processing and/or performance is assessed, the sleep quality of the night preceding the evaluation shall be documented.

Following the loss of wakeful consciousness, the averaging of responses to stimuli produce evoked potential waveforms with prominent components either unique to or greatly enhanced by non-REM sleep. In the sleep onset periods (stage 1) these are the P2 and N350. Following the establishment of stable sleep (stage 2 and SWS), the N550 and P900 are also prominent. Investigation of the EEG associated with individual responses indicates that a good proportion of stimuli elicit, K-complexes or vertex sharp waves (VSWs) and occasionally will elicit both. Recent work has indicated that the N550 in the averaged response is due to the presence of K-complexes and that the N350 is at least largely due to the presence of VSWs. The large size of these grapho-elements indicates that they are probably produced by a synchronized discharge of multiple neural units. Both are readily observed in the absence of external stimulation and occur as normal components of sleep, indeed the K-complex is used as one of the identifying features of the onset of stable non-REM sleep. The present review details the investigation of these features and their associated evoked potential components, in terms of stimulus features, brain states associated with their production, their scalp topography, and changes as a function of age.