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Effects of early midlife ovarian removal on sleep: Polysomnography-measured cortical arousal, homeostatic drive, and spindle characteristics

Author(s): Brown A; Gervais NJ; Gravelsins L; O' Byrne J; Calvo N; Ramana S; Shao Z; Bernardini M; Jacobson M; Rajah MN; Einstein G;

Bilateral salpingo-oophorectomy (BSO; removal of ovaries and fallopian tubes) prior to age 48 is associated with elevated risk for both Alzheimer's disease (AD) and sleep disorders such as insomnia and sleep apnea. In early midlife, individuals with BSO show reduced hippocampal volume, functi ...

Article GUID: 39178647


Sleep spindles predict stress-related increases in sleep disturbances

Author(s): Dang-Vu TT; Salimi A; Boucetta S; Wenzel K; O' Byrne J; Brandewinder M; Berthomier C; Gouin JP;

Background and aim: Predisposing factors place certain individuals at higher risk for insomnia, especially in the presence of precipitating conditions such as stressful life events. Sleep spindles have been shown to play an important role in the preservation of sleep continuity. Lower spindle den ...

Article GUID: 25713529


High-frequency heart rate variability during worry predicts stress-related increases in sleep disturbances

Author(s): Gouin JP; Wenzel K; Boucetta S; O' Byrne J; Salimi A; Dang-Vu TT;

Objective: The aim of this study was to evaluate whether high-frequency heart rate variability (HF-HRV) during waking restfulness and during worry predicts increases in sleep disturbances in response to a stressful life event. Methods: A longitudinal study following up 22 individuals from well-defined periods of lower and higher stress was conducted. HF- ...

Article GUID: 25819418


Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data

Author(s): Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K;

Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets with imbalanced classes is a particularly common problem, ...

Article GUID: 37385392


Processing visual ambiguity in fractal patterns: Pareidolia as a sign of creativity

Author(s): Pepin AB; Harel Y; O' Byrne J; Mageau G; Dietrich A; Jerbi K;

Creativity is a highly valued and beneficial skill that empirical research typically probes using "divergent thinking" (DT) tasks such as problem solving and novel idea generation. Here, in contrast, we examine the perceptual aspect of creativity by asking whether creative individuals are more likely to perceive recognizable forms in ambiguous stimuli -a ...

Article GUID: 36164655


Sleep spindles may predict response to cognitive-behavioral therapy for chronic insomnia

Author(s): Dang-Vu TT; Hatch B; Salimi A; Mograss M; Boucetta S; O' Byrne J; Brandewinder M; Berthomier C; Gouin JP;

Background: While cognitive-behavioral therapy for insomnia constitutes the first-line treatment for chronic insomnia, only few reports have investigated how sleep architecture relates to response to this treatment. In this pilot study, we aimed to determine whether pre-treatment sleep spindle de ...

Article GUID: 29157588


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