Correlates of Adaptation to the Sleep Laboratory

Rosadini, G; Consoli, Domenico; Ferrillo, Franco; Rodriguez, Guido; Sannita, Walter G.; Silvestro, C

doi:10.1159/000118006

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…First, we have found 58 papers on the FNE, among which there were only 14 papers that employed a young (age range: 16–39 yrs) and healthy population to investigate the FNE using polysomnography (PSG) measurement of at least two nights (Agnew, Webb, and Williams, 1966; Browman and Cartwright, 1980; Coble et al, 1974; Curcio, et al, 2004; Kajimura et al, 1998; Lorenzo and Barbanoj, 2002; Rechtschaffen and Verdon, 1964; Rosadini et al, 1983; Sharpley, Solomon, and Cowen, 1988; Suetsugi et al, 2007; Tamaki, et al, 2005a; Tamaki, et al, 2005b; Tamaki, Nittono, and Hori, 2005; Toussaint et al, 1997). Among those, there were only a handful of studies that examined the impact of the FNE on the strength of SWA, using a power spectral analysis (Curcio, et al, 2004; Tamaki, et al, 2005b; Toussaint, et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

The first-night effect suppresses the strength of slow-wave activity originating in the visual areas during sleep

et al. 2014

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Our visual system is plastic and adaptive in response to the stimuli and environments we experience. Although visual adaptation and plasticity have been extensively studied while participants are awake, little is known about what happens while they are asleep. It has been documented that sleep structure as measured by sleep stages using polysomnography is altered specifically in the first sleep session due to exposure to a new sleep environment, known as the first-night effect (FNE). However, the impact of the FNE on spontaneous oscillations in the visual system is poorly understood. How does the FNE affect the visual system during sleep? To address this question, the present study examined whether the FNE modifies the strength of slow-wave activity (SWA, 1–4 Hz)—the dominant spontaneous brain oscillation in slow-wave sleep—in the visual areas. We measured the strength of SWA originating in the visual areas during the first and the second sleep sessions. Magnetoencephalography, polysomnography, and magnetic resonance imaging were used to localize the source of SWA to the visual areas. The visual areas were objectively defined using retinotopic mapping and an automated anatomical parcellation technique. The results showed that the strength of SWA was reduced in the first sleep session in comparison to the second sleep session, especially during slow-wave sleep, in the ventral part of the visual areas. These results suggest that environmental novelty may affect the visual system through suppression of SWA. The impact of the FNE may not be negligible in vision research.

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Section: Introductionmentioning

confidence: 99%

The first-night effect suppresses the strength of slow-wave activity originating in the visual areas during sleep

et al. 2014

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“Paradoxical” shortening of REM latency on first recording night in major depressive disorder: Clinical and polysomnographic correlates

Ansseau¹,

Kupfer²,

Reynolds³

et al. 1985

Biological Psychiatry

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Among 92 inpatients with major depressive disorders, variability in REM latency (RL) during the first two recording nights was assessed by means of an "adaptation coefficient" (AC = night 1 RL--night 2 RL X 100 divided by mean RL for nights 1 and 2). Although mean RL was very similar for both nights (48.1 and 50.7 min), individual ACs showed a gaussian distribution [range: -176.5-171.4; mean: -1.2 (67.3); median: -4.4]. Forty-two patients (45.7%) exhibited shortening of RL on night 2 compared with night 1 (positive AC, corresponding to an "expected" evolution), 48 patients (52.2%) displayed the opposite pattern (negative AC, corresponding to a "paradoxical" evolution), and two patients had identical values on both nights. Extent of increase in RL from first to second night (i.e., extent of "paradoxical" evolution) correlated significantly with increasing duration of current episode, earlier age of onset, and poorer clinical response to tricyclic antidepressants. A cutoff AC of -7 correctly classified 62% of patients according to treatment response. The research diagnostic criteria-based retarded subtype of depression was associated with a more negative AC (i.e., a more "paradoxical" evolution), and the situational subtype was associated with a more positive AC (i.e., a more "expected" evolution) than the remainder of the sample. The subgroup with the most negative ACs (i.e., largest increases in RL from first to second night) also had longer sleep latencies, whereas the subgroup with the most positive ACs (i.e., largest decreases in RL) had higher REM activity and REM density as compared with the remainder of the sample. These results suggest that RL in major depression is not a static parameter and that the study of its within-subject variability can be helpful for diagnostic confirmation and prediction of treatment response.

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Paradoxes of the first-night effect: a quantitative analysis of antero-posterior EEG topography

Curcio

Ferrara

Piergianni

et al. 2004

Clinical Neurophysiology

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Correlates of Adaptation to the Sleep Laboratory

Cited by 4 publications

References 8 publications

The first-night effect suppresses the strength of slow-wave activity originating in the visual areas during sleep

The first-night effect suppresses the strength of slow-wave activity originating in the visual areas during sleep

“Paradoxical” shortening of REM latency on first recording night in major depressive disorder: Clinical and polysomnographic correlates

Paradoxes of the first-night effect: a quantitative analysis of antero-posterior EEG topography

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