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Zhang C, Wang Y, Li M, Niu P, Li S, Hu Z, Shi C, Li Y. Phase-Amplitude Coupling in Theta and Beta Bands: A Potential Electrophysiological Marker for Obstructive Sleep Apnea. Nat Sci Sleep 2024; 16:1469-1482. [PMID: 39323903 PMCID: PMC11423842 DOI: 10.2147/nss.s470617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 09/10/2024] [Indexed: 09/27/2024] Open
Abstract
Background Phase-amplitude coupling (PAC) between the phase of low-frequency signals and the amplitude of high-frequency activities plays many physiological roles and is involved in the pathological processed of various neurological disorders. However, how low-frequency and high-frequency neural oscillations or information synchronization activities change under chronic central hypoxia in OSA patients and whether these changes are closely associated with OSA remains largely unexplored. This study arm to elucidate the long-term consequences of OSA-related oxygen deprivation on central nervous system function. Methods : We screened 521 patients who were clinically suspected of having OSA at our neurology and sleep centers. Through polysomnography (PSG) and other clinical examinations, 103 patients were ultimately included in the study and classified into mild, moderate, and severe OSA groups based on the severity of hypoxia determined by PSG. We utilized the phase-amplitude coupling (PAC) method to analyze the modulation index (MI) trends between different frequency bands during NREM (N1/N2/N3), REM, and wakefulness stages in OSA patients with varying severity levels. We also examined the correlation between the MI index and OSA hypoxia indices. Results Apart from reduced N2 sleep duration and increased microarousal index, the sleep architecture remained largely unchanged among OSA patients with varying severity levels. Compared to the mild OSA group, patients with moderate and severe OSA exhibited higher MI values of PAC in the low-frequency theta phase and high-frequency beta amplitude in the frontal and occipital regions during N1 sleep and wakefulness. No significant differences in the MI of phase-amplitude coupling were observed during N2/3 and REM sleep. Moreover, the MI of phase-amplitude coupling in theta and beta bands positively correlated with hypoxia-related indices, including the apnea-hypopnea index (AHI) and oxygenation desaturation index (ODI), and the percentage of oxygen saturation below 90% (SaO2<90%). Conclusion OSA patients demonstrated increased MI values of theta phase and beta amplitude in the frontal and occipital regions during N1 sleep and wakefulness. This suggests that cortical coupling is prevalent and exhibits sleep-stage-specific patterns in OSA. Theta-beta PAC during N1 and wakefulness was positively correlated with hypoxia-related indices, suggesting a potential relationship between these neural oscillations and OSA severity. The present study provides new insights into the relationship between neural oscillations and respiratory hypoxia in OSA patients.
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Affiliation(s)
- Chan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
- Henan Neurological Function Detection and Regulation Center, Zhengzhou, Henan, 450000, People’s Republic of China
| | - Yanhui Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- Henan Neurological Function Detection and Regulation Center, Zhengzhou, Henan, 450000, People’s Republic of China
- The Academy of Medical Sciences of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Mengjie Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- The Academy of Medical Sciences of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Pengpeng Niu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Shuo Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Zhuopeng Hu
- The First Bethune Clinical Medical College of Ji Lin University, Changchun, Jilin, People’s Republic of China
| | - Changhe Shi
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Yusheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
- Henan Neurological Function Detection and Regulation Center, Zhengzhou, Henan, 450000, People’s Republic of China
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Putilov AA, Sveshnikov DS, Yakunina EB, Mankaeva OV, Puchkova AN, Shumov DE, Gandina EO, Taranov AO, Ligun NV, Donskaya OG, Verevkin EG, Dorokhov VB. How to quantify sleepiness during an attempt to sleep? Physiol Meas 2024; 45:095008. [PMID: 39255829 DOI: 10.1088/1361-6579/ad7930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 09/10/2024] [Indexed: 09/12/2024]
Abstract
Background. Sleepiness assessment tools were mostly developed for detection of an elevated sleepiness level in the condition of sleep deprivation and several medical conditions. However, sleepiness occurs in various other conditions including the transition from wakefulness to sleep during an everyday attempt to get sleep.Objective. We examined whether objective sleepiness indexes can be implicated in detection of fluctuations in sleepiness level during the polysomnographically-monitored attempt to sleep, i.e. in the absence of self-reports on perceived sleepiness level throughout such an attempt.Approach. The polysomnographic signals were recorded in the afternoon throughout 106 90 min napping attempts of 53 university students (28 females). To calculate two objective sleepiness indexes, the electroencephalographic (EEG) spectra were averaged on 30 s epochs of each record, assigned to one of 5 sleep-wake stages, and scored using either the frequency weighting curve for sleepiness substate of wake state or loadings of each frequency on the 2nd principal component of variation in the EEG spectrum (either sleepiness score or PC2 score, respectively).Main results. We showed that statistically significant fluctuations in these two objective sleepiness indexes during epochs assigned to wake stage can be described in terms of the changes in verbally anchored levels of subjective sleepiness assessed by scoring on the 9-step Karolinska Sleepiness Scale.Significance. The results afford new opportunities to elaborate importance of intermediate substates between wake and sleep states for sleep-wake dynamics in healthy individuals and patients with disturbed sleep.
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Affiliation(s)
- Arcady A Putilov
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Dmitry S Sveshnikov
- Department of Normal Physiology, Medical Institute of the Peoples' Friendship University of Russia, Moscow, Russia
| | - Elena B Yakunina
- Department of Normal Physiology, Medical Institute of the Peoples' Friendship University of Russia, Moscow, Russia
| | - Olga V Mankaeva
- Department of Normal Physiology, Medical Institute of the Peoples' Friendship University of Russia, Moscow, Russia
| | - Alexandra N Puchkova
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Dmitry E Shumov
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Eugenia O Gandina
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Anton O Taranov
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Natalya V Ligun
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Olga G Donskaya
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Evgeniy G Verevkin
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Vladimir B Dorokhov
- Laboratory of Sleep/Wake Neurobiology, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
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Gradwohl G, Snipes S, Walitza S, Huber R, Gerstenberg M. Timing and cortical region matter: theta power differences between teenagers affected by Major Depression and healthy controls. J Neural Transm (Vienna) 2024; 131:1105-1115. [PMID: 39105815 PMCID: PMC11365826 DOI: 10.1007/s00702-024-02810-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 07/15/2024] [Indexed: 08/07/2024]
Abstract
In adults affected by Major Depressive Disorder (MDD), most findings point to higher electroencephalographic (EEG) theta power during wake compared to healthy controls (HC) as a potential biomarker aiding the diagnostic process or subgrouping for stratified treatment. Besides these group differences, theta power is modulated by time of day, sleep/wake history, and age. Thus, we aimed at assessing if the time of recording alters theta power in teenagers affected by MDD or HC. Standardized wake EEG power was assessed with high-density EEG in 15 children and adolescents with MDD and in 15 age- and sex-matched HC in the evening and morning. Using a two-way ANOVA, group, time, and their interaction were tested. In patients, the current severity of depression was rated using the Children's Depression Rating Scale. Broadband EEG power was lower in the morning after sleep, with a significant interaction (group x time) in central regions in the 4-6 Hz range. In MDD relative to HC, theta power was decreased over occipital areas in the evening and increased over frontal areas in the morning. A higher frontal theta power was correlated with more severe depressive mood in the morning but not in the evening. This was a cross-sectional study design, including patients on antidepressant medication. In conclusion, depending on time of recording, region-specific opposite differences of theta power were found between teenagers with MDD and HC. These findings stress the importance of the time of the recording when investigating theta power's relationship to psychopathology.
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Affiliation(s)
- Gideon Gradwohl
- Lev Academic Center, Department of Computer Sciences, Jerusalem College of Technology, Jerusalem, Israel
| | - Sophia Snipes
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscicence Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Reto Huber
- Child Development Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscicence Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
| | - Miriam Gerstenberg
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
- Department of Child and Adolescent Psychiatry and Psychotherapy, Outpatient Services Winterthur, Psychiatric University Hospital Zurich, Albanistrasse 24, Winterthur, 8400, Switzerland.
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Shin S, Lee S, Choi SJ, Joo EY, Suh S. Validation of the Karolinska Sleepiness Scale in Korean. J Clin Neurol 2024; 20:501-508. [PMID: 39227333 PMCID: PMC11372212 DOI: 10.3988/jcn.2024.0042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/13/2024] [Accepted: 04/12/2024] [Indexed: 09/05/2024] Open
Abstract
BACKGROUND AND PURPOSE The Karolinska Sleepiness Scale (KSS) is widely used for assessing current level of sleepiness, but it has not been validated in South Korea. This study aimed to validate the KSS using the Stanford Sleepiness Scale (SSS), polysomnography (PSG), and electroencephalography (EEG). METHODS The sample consisted of 27 adult participants in this study aged 40.5±7.7 years (mean±standard deviation) and included 22 males. They completed questionnaires and underwent EEG recording and overnight PSG. The KSS was completed from 18:00 to 24:00 every 2 hours and following PSG (at 07:00). KSS scores changed over time and in particular increased with the time since waking, with the score peaking at 24:00. RESULTS Convergent validity of the KSS was verified by performing a Spearman correlation analysis between the KSS and SSS (r=0.742, p<0.01). Concurrent validity of the KSS was verified by performing a Spearman correlation analysis between the KSS administered before sleep and the sleep onset latency measured using PSG (r=-0.456, p<0.05). Alpha waves were measured 5 minutes before administering the KSS, and the KSS scores were compared with these alpha waves. There were no significant correlations observed between the KSS scores and alpha waves measured in the left occipital area (O1), left frontal area (F3), or left central area (C3). In addition, Spearman correlation analyses of the difference between KSS scores and alpha waves measured at O1, F3, and C3 produced no significant results. CONCLUSIONS This study verified the convergent validity and concurrent validity of the KSS, and confirmed the capabilities of this scale in assessing sleepiness changes over time.
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Affiliation(s)
- Sungkyoung Shin
- Department of Psychology, Sungshin Women's University, Seoul, Korea
| | - Sujin Lee
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Su Jung Choi
- Graduate School of Clinical Nursing Science, Sungkyunkwan University, Seoul, Korea
| | - Eun Yeon Joo
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Sooyeon Suh
- Department of Psychology, Sungshin Women's University, Seoul, Korea.
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Leota J, Faulkner P, Mazidi S, Simpson D, Nash K. Neural rhythms of narcissism: Facets of narcissism are associated with different neural sources in resting-state EEG. Eur J Neurosci 2024; 60:4907-4921. [PMID: 39073208 DOI: 10.1111/ejn.16479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 05/03/2024] [Accepted: 07/10/2024] [Indexed: 07/30/2024]
Abstract
Trait narcissism is characterized by significant heterogeneity across individuals. Despite advances in the conceptualization of narcissism, including the increasing recognition that narcissism is a multidimensional construct, the sources of this heterogeneity remain poorly understood. Here, we used a neural trait approach to help better understand "how," and shed light on "why," individuals vary in facets of trait narcissism. Participants (N = 58) first completed personality measures, including the Narcissistic Personality Inventory (NPI), and then in a second session sat passively while resting-state electroencephalography (rs-EEG) was recorded. We then regressed source-localized rs-EEG activity on the distinct facets of narcissism: Grandiose Exhibitionism (GE), Entitlement/Exploitativeness (EE), and Leadership/Authority (LA). Results revealed that each facet was associated with different (though sometimes overlapping) neural sources. Specifically, GE was associated with reduced activation in the dorsomedial prefrontal cortex (DMPFC). EE was associated with reduced activation in the DMPFC and right lateral PFC. LA was associated with increased activation in the left anterior temporal cortex. These findings support the idea that trait narcissism is a multidimensional construct undergirded by individual differences in neural regions related to social cognition (the DMPFC), self-regulation (right lateral PFC), and self-referential processing (left anterior temporal cortex).
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Affiliation(s)
- Josh Leota
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
- School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Paige Faulkner
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - Shafa Mazidi
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - David Simpson
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - Kyle Nash
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
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Li Y, Fang W, Qiu H, Yu H, Dong W, Sun Z. Diurnal biological effects of correlated colour temperature and its exposure timing on alertness, cognition, and mood in an enclosed environment. APPLIED ERGONOMICS 2024; 119:104304. [PMID: 38718532 DOI: 10.1016/j.apergo.2024.104304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 04/06/2024] [Accepted: 05/01/2024] [Indexed: 06/11/2024]
Abstract
Artificial lighting, which profits from the non-visual effects of light, is a potentially promising solution to support residents' psychophysiological health and performance at specific times of the day in enclosed environments. However, few studies have investigated the non-visual effects of daytime correlated colour temperature (CCT) and its exposure timing on human alertness, cognition, and mood. However, the neural mechanisms underlying these effects are largely unknown. The current study evaluated the effects of daytime CCT and its exposure timing on markers of subjective experience, cognitive performance, and cerebral activity in a simulated enclosed environment. Forty-two participants participated a single-blind laboratory study with a 4 within (CCT: 4000 K vs. 6500 K vs. 8500 K vs. 12,000 K) × 2 between (exposure timing: morning vs. afternoon) mixed design. The results showed time of the day dependent benefits of the daytime CCT on subjective experience, vigilant attention, response inhibition, working memory, emotional perception, and risk decisions. The results of the electroencephalogram (EEG) revealed that lower-frequency EEG bands, including theta, alpha, and alpha-theta, were quite sensitive to daytime CCT intervention, which provides a valuable reference for trying to establish the underlying mechanisms that support the performance-enhancement effects of exposure to CCT in the daytime. However, the results revealed no consistent intervention pattern across these measurements. Therefore, future studies should consider personalised optimisation of daytime CCT for different cognitive demands.
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Affiliation(s)
- YanJie Li
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, 100044 Beijing, China.
| | - WeiNing Fang
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, 100044 Beijing, China; State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, 100044 Beijing, China.
| | - HanZhao Qiu
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, 100044 Beijing, China.
| | - Hongqiang Yu
- National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Haidian District, 100094 Beijing, China.
| | - WenLi Dong
- School of Automation and Intelligence, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, 100044 Beijing, China.
| | - Zhe Sun
- School of Automation and Intelligence, Beijing Jiaotong University, No. 3 Shang Yuan Cun, Haidian District, 100044 Beijing, China.
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Thieux M, Lioret J, Bouet R, Guyon A, Lachaux JP, Herbillon V, Franco P. Behavioral and Electrophysiological Markers of Attention Fluctuations in Children with Hypersomnolence. J Clin Med 2024; 13:5077. [PMID: 39274290 PMCID: PMC11395852 DOI: 10.3390/jcm13175077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 08/23/2024] [Accepted: 08/24/2024] [Indexed: 09/16/2024] Open
Abstract
Background. No device is yet available to effectively capture the attentional repercussions of hypersomnolence (HYP). The present study aimed to compare attentional performance of children with HYP, attention deficit hyperactivity disorder (ADHD), and controls using behavioral and electrophysiological (EEG) markers, and to assess their relationship with conventional sleepiness measurements. Methods. Children with HYP underwent a multiple sleep latency test (MSLT) and completed the adapted Epworth sleepiness scale (AESS). Along with age-matched children with ADHD, they were submitted to a resting EEG followed by the Bron-Lyon Attention Stability Test (BLAST). The control group only performed the BLAST. Multivariate models compared reaction time (RT), error percentage, BLAST-Intensity, BLAST-Stability, theta activity, and theta/beta ratio between groups. Correlations between these measures and conventional sleepiness measurements were conducted in children with HYP. Results. Children with HYP had lower RT and BLAST-Stability than controls but showed no significant difference in BLAST/EEG markers compared to children with ADHD. The AESS was positively correlated with the percentage of errors and negatively with BLAST-Intensity. Conclusions. Children with HYP showed impulsivity and attention fluctuations, without difference from children with ADHD for BLAST/EEG markers. The BLAST-EEG protocol could be relevant for the objective assessment of attentional fluctuations related to hypersomnolence.
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Affiliation(s)
- Marine Thieux
- Centre de Recherche en Neurosciences de Lyon, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, 69500 Lyon, France
- Unité de Sommeil Pédiatrique, Service d'épileptologie Clinique, des Troubles du Sommeil et de Neurologie Fonctionnelle de l'enfant, Hôpital Femme-Mère-Enfant, Hospices Civils de Lyon, 69500 Lyon, France
| | - Julien Lioret
- Centre de Recherche en Neurosciences de Lyon, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, 69500 Lyon, France
- Unité de Sommeil Pédiatrique, Service d'épileptologie Clinique, des Troubles du Sommeil et de Neurologie Fonctionnelle de l'enfant, Hôpital Femme-Mère-Enfant, Hospices Civils de Lyon, 69500 Lyon, France
| | - Romain Bouet
- Centre de Recherche en Neurosciences de Lyon, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, 69500 Lyon, France
| | - Aurore Guyon
- Centre de Recherche en Neurosciences de Lyon, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, 69500 Lyon, France
- Unité de Sommeil Pédiatrique, Service d'épileptologie Clinique, des Troubles du Sommeil et de Neurologie Fonctionnelle de l'enfant, Hôpital Femme-Mère-Enfant, Hospices Civils de Lyon, 69500 Lyon, France
| | - Jean-Philippe Lachaux
- Centre de Recherche en Neurosciences de Lyon, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, 69500 Lyon, France
| | - Vania Herbillon
- Centre de Recherche en Neurosciences de Lyon, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, 69500 Lyon, France
- Unité de Sommeil Pédiatrique, Service d'épileptologie Clinique, des Troubles du Sommeil et de Neurologie Fonctionnelle de l'enfant, Hôpital Femme-Mère-Enfant, Hospices Civils de Lyon, 69500 Lyon, France
| | - Patricia Franco
- Centre de Recherche en Neurosciences de Lyon, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, 69500 Lyon, France
- Unité de Sommeil Pédiatrique, Service d'épileptologie Clinique, des Troubles du Sommeil et de Neurologie Fonctionnelle de l'enfant, Hôpital Femme-Mère-Enfant, Hospices Civils de Lyon, 69500 Lyon, France
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Khoo SY, Lai WH, On SH, On YY, Adam BM, Law WC, Ng BHS, Fong AYY, Anselm ST. Resting-state electroencephalography (EEG) microstates of healthy individuals following mild sleep deprivation. Sci Rep 2024; 14:16820. [PMID: 39039219 PMCID: PMC11263689 DOI: 10.1038/s41598-024-67902-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/17/2024] [Indexed: 07/24/2024] Open
Abstract
Mild sleep deprivation is widespread in many societies worldwide. Electroencephalography (EEG) microstate analysis provides information on spatial and temporal characteristics of resting brain network, serving as an indicator of neurophysiological activities at rest. This study seeks to investigate potential neural markers in EEG following mild sleep deprivation of a single night using EEG microstate analysis. Six-minute resting EEG was conducted on thirty healthy adults within 6 hours of waking in the morning and after at least 18 h of sleep deprivation. Translated and validated Malay language Karolinska Sleepiness Scale was used to assess the participants' degree of sleepiness. Microstate characteristics analysis was conducted on the final 24 subjects based on four standard microstate maps. Microstate C shows a significant increase in mean duration, coverage and occurrence, while microstate D has significantly higher occurrence after sleep deprivation. This study demonstrates notable changes in resting state EEG microstates following mild sleep deprivation. Present findings deepen our understanding of the brain's spatiotemporal dynamics under this condition and suggest the potential utility of neural markers in this domain as components of composite markers for sleep deprivation.
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Affiliation(s)
- Sing Yee Khoo
- Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak, Jalan Datuk Mohammad Musa, 94300, Kota Samarahan, Sarawak, Malaysia.
- Clinical Research Centre, Institutes for Clinical Research, National Institutes of Health, Sarawak General Hospital, Jalan Hospital, 93586, Kuching, Sarawak, Malaysia.
| | - Wei Hong Lai
- Clinical Research Centre, Institutes for Clinical Research, National Institutes of Health, Sarawak General Hospital, Jalan Hospital, 93586, Kuching, Sarawak, Malaysia
| | - Shin Hui On
- Yong Loo Lin School of Medicine, National University of Singapore, 21 Lower Kent Ridge Road, Singapore, 119077, Singapore
| | - Yue Yuan On
- School of Biological Sciences, Nanyang Technological University, 50 Nanyang Ave, Singapore, 639798, Singapore
| | - Bujang Mohamad Adam
- Clinical Research Centre, Institutes for Clinical Research, National Institutes of Health, Sarawak General Hospital, Jalan Hospital, 93586, Kuching, Sarawak, Malaysia
| | - Wan Chung Law
- Neurology Department, Sarawak General Hospital, Jalan Hospital, Ministry of Health, 93586, Kuching, Sarawak, Malaysia
| | - Benjamin Han Sim Ng
- Neurology Department, Sibu General Hospital, Ministry of Health, KM 5 ½, Jalan Ulu Oya, Pekan Sibu, 96000, Sibu, Sarawak, Malaysia
| | - Alan Yean Yip Fong
- Clinical Research Centre, Institutes for Clinical Research, National Institutes of Health, Sarawak General Hospital, Jalan Hospital, 93586, Kuching, Sarawak, Malaysia
| | - Su Ting Anselm
- Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak, Jalan Datuk Mohammad Musa, 94300, Kota Samarahan, Sarawak, Malaysia
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Bressler S, Neely R, Yost RM, Wang D. A randomized controlled trial of alpha phase-locked auditory stimulation to treat symptoms of sleep onset insomnia. Sci Rep 2024; 14:13039. [PMID: 38844793 PMCID: PMC11156862 DOI: 10.1038/s41598-024-63385-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
Sleep onset insomnia is a pervasive problem that contributes significantly to the poor health outcomes associated with insufficient sleep. Auditory stimuli phase-locked to slow-wave sleep oscillations have been shown to augment deep sleep, but it is unknown whether a similar approach can be used to accelerate sleep onset. The present randomized controlled crossover trial enrolled adults with objectively verified sleep onset latencies (SOLs) greater than 30 min to test the effect of auditory stimuli delivered at specific phases of participants' alpha oscillations prior to sleep onset. During the intervention week, participants wore an electroencephalogram (EEG)-enabled headband that delivered acoustic pulses timed to arrive anti-phase with alpha for 30 min (Stimulation). During the Sham week, the headband silently recorded EEG. The primary outcome was SOL determined by blinded scoring of EEG records. For the 21 subjects included in the analyses, stimulation had a significant effect on SOL according to a linear mixed effects model (p = 0.0019), and weekly average SOL decreased by 10.5 ± 15.9 min (29.3 ± 44.4%). These data suggest that phase-locked acoustic stimulation can be a viable alternative to pharmaceuticals to accelerate sleep onset in individuals with prolonged sleep onset latencies. Trial Registration: This trial was first registered on clinicaltrials.gov on 24/02/2023 under the name Sounds Locked to ElectroEncephalogram Phase For the Acceleration of Sleep Onset Time (SLEEPFAST), and assigned registry number NCT05743114.
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Affiliation(s)
- Scott Bressler
- Elemind Technologies, Inc., Cambridge, MA, USA
- Science and Research, Elemind Technologies, Inc., Cambridge, MA, 02139, USA
| | - Ryan Neely
- Elemind Technologies, Inc., Cambridge, MA, USA.
- Science and Research, Elemind Technologies, Inc., Cambridge, MA, 02139, USA.
| | - Ryan M Yost
- Elemind Technologies, Inc., Cambridge, MA, USA
- Science and Research, Elemind Technologies, Inc., Cambridge, MA, 02139, USA
| | - David Wang
- Elemind Technologies, Inc., Cambridge, MA, USA
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10
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Dakwar-Kawar O, Mentch-Lifshits T, Hochman S, Mairon N, Cohen R, Balasubramani P, Mishra J, Jordan J, Cohen Kadosh R, Berger I, Nahum M. Aperiodic and periodic components of oscillatory brain activity in relation to cognition and symptoms in pediatric ADHD. Cereb Cortex 2024; 34:bhae236. [PMID: 38858839 DOI: 10.1093/cercor/bhae236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 05/12/2024] [Indexed: 06/12/2024] Open
Abstract
Children with attention-deficit/hyperactivity disorder show deficits in processing speed, as well as aberrant neural oscillations, including both periodic (oscillatory) and aperiodic (1/f-like) activity, reflecting the pattern of power across frequencies. Both components were suggested as underlying neural mechanisms of cognitive dysfunctions in attention-deficit/hyperactivity disorder. Here, we examined differences in processing speed and resting-state-Electroencephalogram neural oscillations and their associations between 6- and 12-year-old children with (n = 33) and without (n = 33) attention-deficit/hyperactivity disorder. Spectral analyses of the resting-state EEG signal using fast Fourier transform revealed increased power in fronto-central theta and beta oscillations for the attention-deficit/hyperactivity disorder group, but no differences in the theta/beta ratio. Using the parameterization method, we found a higher aperiodic exponent, which has been suggested to reflect lower neuronal excitation-inhibition, in the attention-deficit/hyperactivity disorder group. While fast Fourier transform-based theta power correlated with clinical symptoms for the attention-deficit/hyperactivity disorder group only, the aperiodic exponent was negatively correlated with processing speed across the entire sample. Finally, the aperiodic exponent was correlated with fast Fourier transform-based beta power. These results highlight the different and complementary contribution of periodic and aperiodic components of the neural spectrum as metrics for evaluation of processing speed in attention-deficit/hyperactivity disorder. Future studies should further clarify the roles of periodic and aperiodic components in additional cognitive functions and in relation to clinical status.
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Affiliation(s)
- Ornella Dakwar-Kawar
- School of Occupational Therapy, Hebrew University, Mount Scopus, Jerusalem, 9124001, Israel
| | - Tal Mentch-Lifshits
- School of Occupational Therapy, Hebrew University, Mount Scopus, Jerusalem, 9124001, Israel
| | - Shachar Hochman
- School of Psychology, Faculty of Health and Medical Sciences, Kate Granger Building, 30 Priestley Road, Surrey Research Park, Guildford, Surrey, GU2 7YH
| | - Noam Mairon
- School of Occupational Therapy, Hebrew University, Mount Scopus, Jerusalem, 9124001, Israel
| | - Reut Cohen
- School of Occupational Therapy, Hebrew University, Mount Scopus, Jerusalem, 9124001, Israel
| | - Pragathi Balasubramani
- Department of Psychiatry, University of California, UC San Diego 9500 Gilman Dr. La Jolla, CA 92093, United States
- Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur 208016, India
| | - Jyoti Mishra
- Department of Psychiatry, University of California, UC San Diego 9500 Gilman Dr. La Jolla, CA 92093, United States
| | - Josh Jordan
- Department of Psychology, Dominican University of California, 50 Acacia Avenue, San Rafael, CA 94901, United States
| | - Roi Cohen Kadosh
- School of Psychology, Faculty of Health and Medical Sciences, Kate Granger Building, 30 Priestley Road, Surrey Research Park, Guildford, Surrey, GU2 7YH
| | - Itai Berger
- Pediatric Neurology, Assuta-Ashdod University Hospital, Faculty of Health Sciences, Ben-Gurion University, Beer-Shevablvd 1, 84105 Beer Sheva, Israel
- School of Social Work and Social Welfare, Hebrew University, Mount Scopus, Jerusalem, 9124001, Israel
| | - Mor Nahum
- School of Occupational Therapy, Hebrew University, Mount Scopus, Jerusalem, 9124001, Israel
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11
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Salazar Leon LE, Brown AM, Kaku H, Sillitoe RV. Purkinje cell dysfunction causes disrupted sleep in ataxic mice. Dis Model Mech 2024; 17:dmm050379. [PMID: 38563553 PMCID: PMC11190574 DOI: 10.1242/dmm.050379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 03/18/2024] [Indexed: 04/04/2024] Open
Abstract
Purkinje cell dysfunction disrupts movement and causes disorders such as ataxia. Recent evidence suggests that Purkinje cell dysfunction may also alter sleep regulation. Here, we used an ataxic mouse model generated by silencing Purkinje cell neurotransmission (L7Cre;Vgatfx/fx) to better understand how cerebellar dysfunction impacts sleep physiology. We focused our analysis on sleep architecture and electrocorticography (ECoG) patterns based on their relevance to extracting physiological measurements during sleep. We found that circadian activity was unaltered in the mutant mice, although their sleep parameters and ECoG patterns were modified. The L7Cre;Vgatfx/fx mutant mice had decreased wakefulness and rapid eye movement (REM) sleep, whereas non-REM sleep was increased. The mutants had an extended latency to REM sleep, which is also observed in human patients with ataxia. Spectral analysis of ECoG signals revealed alterations in the power distribution across different frequency bands defining sleep. Therefore, Purkinje cell dysfunction may influence wakefulness and equilibrium of distinct sleep stages in ataxia. Our findings posit a connection between cerebellar dysfunction and disrupted sleep and underscore the importance of examining cerebellar circuit function in sleep disorders.
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Affiliation(s)
- Luis E. Salazar Leon
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA
| | - Amanda M. Brown
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA
| | - Heet Kaku
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Roy V. Sillitoe
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
- Development, Disease Models and Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX 77030, USA
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12
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Snipes S, Meier E, Accascina S, Huber R. Extended wakefulness alters the relationship between EEG oscillations and performance in a sustained attention task. J Sleep Res 2024:e14230. [PMID: 38705729 DOI: 10.1111/jsr.14230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/10/2024] [Accepted: 04/20/2024] [Indexed: 05/07/2024]
Abstract
During drowsiness, maintaining consistent attention becomes difficult, leading to behavioural lapses. Bursts of oscillations in the electroencephalogram (EEG) might predict such lapses, given that alpha bursts increase during inattention and theta bursts increase with time spent awake. Paradoxically, however, alpha bursts decrease with time awake and theta bursts increase during focussed attention and cognitive tasks. Therefore, we investigated to what extent theta and alpha bursts predicted performance in a sustained attention task, either when well rested (baseline, BL) or following 20 h of extended wakefulness (EW). High-density EEG was measured in 18 young adults, and the timing of bursts was related to trial outcomes (fast, slow, and lapse trials). To increase the likelihood of lapses, the task was performed under soporific conditions. Against expectations, alpha bursts were more likely before fast trials and less likely before lapses at baseline, although the effect was substantially reduced during extended wakefulness. Theta bursts showed no significant relationship to behavioural outcome either at baseline or extended wakefulness. However, following exploratory analyses, we found that large-amplitude theta and alpha bursts were more likely to be followed by lapse trials during extended wakefulness but not baseline. In summary, alpha bursts during baseline anticipated better trial outcomes, whereas large-amplitude theta and alpha bursts during extended wakefulness anticipated worse outcomes. Therefore, neither theta nor alpha bursts maintain a consistent relationship with behaviour under different levels of overall vigilance.
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Affiliation(s)
- Sophia Snipes
- Child Development Centre, University Children's Hospital Zürich, University of Zürich, Zurich, Switzerland
- Neural Control of Movement Lab, Department of Health Sciences and Technology, Zurich, Switzerland
| | - Elias Meier
- Child Development Centre, University Children's Hospital Zürich, University of Zürich, Zurich, Switzerland
| | | | - Reto Huber
- Child Development Centre, University Children's Hospital Zürich, University of Zürich, Zurich, Switzerland
- Sleep & Health Zürich, University of Zürich, Zurich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zürich, Zurich, Switzerland
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13
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Nadalizadeh F, Rajabioun M, Feyzi A. Driving fatigue detection based on brain source activity and ARMA model. Med Biol Eng Comput 2024; 62:1017-1030. [PMID: 38117429 DOI: 10.1007/s11517-023-02983-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 11/28/2023] [Indexed: 12/21/2023]
Abstract
Fatigue among drivers is a significant issue in society, and according to organizational reports, it substantially contributes to accidents. So accurate fatigue detection in drivers plays a crucial role in reducing the number of people fatalities or injured resulting from accidents. Several methods are proposed for fatigue driver recognition among which electroencephalography (EEG) is one. This paper proposed a method for fatigue recognition by EEG signals with extracted features from source and sensor spaces. The proposed method starts with preprocessing by applying filtering and artifact rejection. Then source localization methods are applied to EEG signals for active source extraction. A multivariate autoregressive (MVAR) model is fitted to selected sources, and a dual Kalman filter is applied to estimate the source activity and their relationships. Then multivariate autoregressive moving average (ARMA) is fitted between EEG and source activity signals. Features are extracted from model parameters, source relationship matrix, and wavelet transform of EEG and source activity signals. The novelty of this approach is the use of ARMA model between source activities (as input) and EEG signals (as output) and feature extraction from source relations. Relevant features are selected using a combination of RelifF and neighborhood component analysis (NCA) methods. Three classifiers, namely k-nearest neighbor (KNN), support vector machine (SVM), and naive Bayesian (NB) classifiers, are employed to classify drivers. To improve performance, the final label for fatigue detection is calculated by combining these classifiers using the voting method. The results demonstrate that the proposed method accurately recognizes and classifies fatigued drivers with the ensemble classifiers in comparison with other methods.
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Affiliation(s)
- Fahimeh Nadalizadeh
- Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
| | - Mehdi Rajabioun
- Department of Engineering, Mamaghan Branch, Islamic Azad University, Mamaghan, Iran.
| | - Amirreza Feyzi
- Department of Electrical and Computer Engineering, Tabriz University, Tabriz, Iran
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14
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Okumura E, Hoshi H, Morise H, Okumura N, Fukasawa K, Ichikawa S, Asakawa T, Shigihara Y. Reliability of Spectral Features of Resting-State Brain Activity: A Magnetoencephalography Study. Cureus 2024; 16:e52637. [PMID: 38249648 PMCID: PMC10799710 DOI: 10.7759/cureus.52637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/20/2024] [Indexed: 01/23/2024] Open
Abstract
Background Cognition is a vital sign and its deterioration is a major concern in clinical medicine. It is usually evaluated using neuropsychological assessments, which have innate limitations such as the practice effect. To compensate for these assessments, the oscillatory power of resting-state brain activity has recently become available. The power is obtained noninvasively using magnetoencephalography and is summarized by spectral parameters such as the median frequency (MF), individual alpha frequency (IAF), spectral edge frequency 95 (SEF95), and Shannon's spectral entropy (SSE). As these parameters are less sensitive to practice effects, they are suitable for longitudinal studies. However, their reliability remains unestablished, hindering their proactive use in clinical practice. Therefore, we aimed to quantify the within-participant reliability of these parameters using repeated measurements of healthy participants to facilitate their clinical use and to evaluate the observed changes/differences in these parameters reported in previous studies. Methodology Resting-state brain activity with eyes closed was recorded using magnetoencephalography for five minutes from 15 healthy individuals (29.3 ± 4.6 years old: ranging from 23 to 28 years old). The following four spectral parameters were calculated: MF, IAF, SEF95, and SSE. To quantify reliability, the minimal detectable change (MDC) and intraclass correlation coefficient (ICC) were computed for each parameter. In addition, we used MDCs to evaluate the changes and differences in the spectral parameters reported in previous longitudinal and cross-sectional studies. Results The MDC at 95% confidence interval (MDC95) of MF, IAF, SEF95, and SSE were 0.61 Hz, 0.44 Hz, 2.91 Hz, and 0.028, respectively. The ICCs of these parameters were 0.96, 0.92, 0.94, and 0.83, respectively. The MDC95 of these parameters was smaller than the mean difference in the parameters between cognitively healthy individuals and patients with dementia, as reported in previous studies. Conclusions The spectral parameter changes/differences observed in prior studies were not attributed to measurement errors but rather reflected genuine effects. Furthermore, all spectral parameters exhibited high ICCs (>0.8), underscoring their robust within-participant reliability. Our results support the clinical use of these parameters, especially in the longitudinal monitoring and evaluation of the outcomes of interventions.
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Affiliation(s)
- Eiichi Okumura
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
| | - Hideyuki Hoshi
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
- Precision Medicine Centre, Hokuto Hospital, Obihiro, JPN
| | - Hirofumi Morise
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
| | - Naohiro Okumura
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
| | - Keisuke Fukasawa
- Precision Medicine Centre, Kumagaya General Hospital, Kumagaya, JPN
| | - Sayuri Ichikawa
- Precision Medicine Centre, Kumagaya General Hospital, Kumagaya, JPN
| | - Takashi Asakawa
- Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN
| | - Yoshihito Shigihara
- Precision Medicine Centre, Hokuto Hospital, Obihiro, JPN
- Precision Medicine Centre, Kumagaya General Hospital, Kumagaya, JPN
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15
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D'Rozario AL, Kao CH, Phillips CL, Mullins AE, Memarian N, Yee BJ, Duffy SL, Cho G, Wong KKH, Kremerskothen K, Chapman J, Haroutonian C, Bartlett DJ, Naismith SL, Grunstein RR. Region-specific changes in brain activity and memory after continuous positive airway pressure therapy in obstructive sleep apnea: a pilot high-density electroencephalography study. Sleep 2023; 46:zsad255. [PMID: 37777337 DOI: 10.1093/sleep/zsad255] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 08/24/2023] [Indexed: 10/02/2023] Open
Abstract
STUDY OBJECTIVES Limited channel electroencephalography (EEG) investigations in obstructive sleep apnea (OSA) have revealed deficits in slow wave activity (SWA) and spindles during sleep and increased EEG slowing during resting wakefulness. High-density EEG (Hd-EEG) has also detected local parietal deficits in SWA (delta power) during NREM. It is unclear whether effective continuous positive airway pressure (CPAP) treatment reverses regional SWA deficits, and other regional sleep and wake EEG abnormalities, and whether any recovery relates to improved overnight memory consolidation. METHODS A clinical sample of men with moderate-severe OSA underwent sleep and resting wake recordings with 256-channel Hd-EEG before and after 3 months of CPAP. Declarative and procedural memory tasks were administered pre- and post-sleep. Topographical spectral power maps and differences between baseline and treatment were compared using t-tests and statistical nonparametric mapping (SnPM). RESULTS In 11 compliant CPAP users (5.2 ± 1.1 hours/night), total sleep time did not differ after CPAP but N1 and N2 sleep were lower and N3 was higher. Centro-parietal gamma power during N3 increased and fronto-central slow spindle activity during N2 decreased (SnPM < 0.05). No other significant differences in EEG power were observed. When averaged specifically within the parietal region, N3 delta power increased after CPAP (p = 0.0029) and was correlated with the change in overnight procedural memory consolidation (rho = 0.79, p = 0.03). During resting wakefulness, there were trends for reduced delta and theta power. CONCLUSIONS Effective CPAP treatment of OSA may correct regional EEG abnormalities, and regional recovery of SWA may relate to procedural memory improvements in the short term.
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Affiliation(s)
- Angela L D'Rozario
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- School of Psychology, Faculty of Science, Brain and Mind Centre and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Chien-Hui Kao
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Craig L Phillips
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Anna E Mullins
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine, New York City, NY, USA
| | - Negar Memarian
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Brendon J Yee
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health University of Sydney, Sydney, NSW, Australia
| | - Shantel L Duffy
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Garry Cho
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Keith K H Wong
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health University of Sydney, Sydney, NSW, Australia
| | - Kyle Kremerskothen
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Julia Chapman
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Carla Haroutonian
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- School of Psychology, Faculty of Science, Brain and Mind Centre and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Delwyn J Bartlett
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health University of Sydney, Sydney, NSW, Australia
| | - Sharon L Naismith
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- School of Psychology, Faculty of Science, Brain and Mind Centre and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ron R Grunstein
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health University of Sydney, Sydney, NSW, Australia
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16
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Laguna A, Pusil S, Bazán À, Zegarra-Valdivia JA, Paltrinieri AL, Piras P, Palomares I Perera C, Pardos Véglia A, Garcia-Algar O, Orlandi S. Multi-modal analysis of infant cry types characterization: Acoustics, body language and brain signals. Comput Biol Med 2023; 167:107626. [PMID: 37918262 DOI: 10.1016/j.compbiomed.2023.107626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 09/14/2023] [Accepted: 10/23/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Infant crying is the first attempt babies use to communicate during their initial months of life. A misunderstanding of the cry message can compromise infant care and future neurodevelopmental process. METHODS An exploratory study collecting multimodal data (i.e., crying, electroencephalography (EEG), near-infrared spectroscopy (NIRS), facial expressions, and body movements) from 38 healthy full-term newborns was conducted. Cry types were defined based on different conditions (i.e., hunger, sleepiness, fussiness, need to burp, and distress). Statistical analysis, Machine Learning (ML), and Deep Learning (DL) techniques were used to identify relevant features for cry type classification and to evaluate a robust DL algorithm named Acoustic MultiStage Interpreter (AMSI). RESULTS Significant differences were found across cry types based on acoustics, EEG, NIRS, facial expressions, and body movements. Acoustics and body language were identified as the most relevant ML features to support the cause of crying. The DL AMSI algorithm achieved an accuracy rate of 92%. CONCLUSIONS This study set a precedent for cry analysis research by highlighting the complexity of newborn cry expression and strengthening the potential use of infant cry analysis as an objective, reliable, accessible, and non-invasive tool for cry interpretation, improving the infant-parent relationship and ensuring family well-being.
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Affiliation(s)
| | | | | | - Jonathan Adrián Zegarra-Valdivia
- Global Brain Health Institute, University of California, San Francisco, CA, USA; Achucarro Basque Center for Neuroscience, Leioa, Spain; Universidad Señor de Sipán, Chiclayo, Peru
| | | | | | | | | | - Oscar Garcia-Algar
- Neonatology Unit, Hospital Clínic-Maternitat, ICGON, BCNatal, 08028, Barcelona, Spain; Department de Cirurgia I Especialitats Mèdico-quirúrgiques, Universitat de Barcelona, 08036, Barcelona, Spain
| | - Silvia Orlandi
- Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi"(DEI), University of Bologna, Bologna, Italy; Health Sciences and Technologies Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy
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17
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Matsuo M, Higuchi T, Miyabara H, Higashijima M, Oshikawa T, Nakamura M, Yamaguchi Y, Higashionna T. Assessing attentional task-related electroencephalogram signal variations by using mobile electroencephalogram technology: An experimental study. Medicine (Baltimore) 2023; 102:e35801. [PMID: 37861488 PMCID: PMC10589521 DOI: 10.1097/md.0000000000035801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 10/04/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND A better understanding of the network responses of cortical activities during rest and cognitive tasks is necessary. Therefore, in this study, we aimed to evaluate cerebral activities during attentional tasks by using mobile electroencephalography, identifying the types of attentional components and brain waves. METHODS In this experimental study, we enrolled 12 healthy young adults. The attentional tasks comprised parts A and B of the Trail-Making Test (TMT). Nineteen electroencephalography electrodes were placed over various brain regions. The Wilcoxon signed-rank test was used to examine the differences in power levels between the rest and TMT conditions. RESULTS During TMT part A, the electroencephalography power level of the delta waves was significantly higher in the right frontal, left central, left occipital, left inferior frontal, right mid-temporal, right posterior temporal, and middle parietal areas (P < .05) than those during the resting state; that of the alpha waves was significantly lower in the left posterior temporal area (P = .006); and that of the high gamma waves was significantly lower in the left parietal (P = .05) and left occipital (P = .002) areas. During TMT part B, the electroencephalography power level of the beta waves was significantly higher in the right frontal area (P = .041) than that during the resting state, and that of the low gamma waves was significantly higher in the left frontal pole, right frontal, and right inferior frontal areas (P < .05). During the focused attentional task, the power level of the delta waves increased and that of the alpha waves decreased, and during the alternating attentional task, those of both the beta and gamma waves increased. The delta waves were related to the whole brain, the alpha and high gamma waves to the left posterior lobe, and the beta and low gamma waves to both frontal lobes. CONCLUSION These findings contribute to the basic knowledge necessary to develop new attentional assessment methods for clinical situations.
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Affiliation(s)
- Moemi Matsuo
- Faculty of Rehabilitation Sciences, Nishi Kyushu University, Kanzaki, Saga, Japan
| | - Takashi Higuchi
- Department of Physical Therapy, Osaka University of Human Sciences, Settsu, Osaka, Japan
| | - Hiroya Miyabara
- Faculty of Rehabilitation Sciences, Nishi Kyushu University, Kanzaki, Saga, Japan
| | - Misako Higashijima
- Faculty of Rehabilitation Sciences, Nishi Kyushu University, Kanzaki, Saga, Japan
| | - Takeshi Oshikawa
- Faculty of Rehabilitation Sciences, Nishi Kyushu University, Kanzaki, Saga, Japan
| | - Masatoshi Nakamura
- Faculty of Rehabilitation Sciences, Nishi Kyushu University, Kanzaki, Saga, Japan
| | - Yuji Yamaguchi
- Faculty of Health and Social Welfare Sciences, Nishi Kyushu University, Kanzaki, Saga, Japan
| | - Takuya Higashionna
- Department of Rehabilitation, Faculty of Health Sciences, Tokyo Kasei University, Inariyama, Saitama, Japan
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18
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Ide K. Acute hypoxia elicits prefrontal oxygenation asymmetry in young adults. NEUROPHOTONICS 2023; 10:045002. [PMID: 37808565 PMCID: PMC10551723 DOI: 10.1117/1.nph.10.4.045002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 09/11/2023] [Accepted: 09/15/2023] [Indexed: 10/10/2023]
Abstract
Significance Cerebrovascular reactivity can be evaluated by prefrontal cortex (PFC) hemodynamic responses and oxygenation changes secondary to hypoxia using near-infrared spectroscopy (NIRS). However, whether there are hemispheric differences in these NIRS-determined PFC hemodynamic responses and oxygenation changes remains unknown. Aim This study was performed to determine whether there are differences in the PFC hemodynamic responses and oxygenation changes secondary to hypoxia between the left and right frontal poles (FPL and FPR, respectively). Approach Fifteen young men participated in the study. During conduction of an isocapnic hypoxia protocol with a 10-min hypoxic phase at partial pressure of end-tidal oxygen (PET O 2 ) of 45 Torr, hemodynamic and oxygenation indices comprising oxygenated hemoglobin (oxy-Hb), deoxygenated Hb (deoxy-Hb), total Hb (total-Hb), and tissue oxygen saturation (StO 2 ) over FPL and FPR were measured by NIRS. The heart rate (HR) was evaluated by electrocardiography. Results In response to hypoxia, the HR increased, oxy-Hb decreased, deoxy-Hb increased, total-Hb increased above baseline, and StO 2 decreased. There was no difference in the change in total-Hb between FPL and FPR. However, there were greater changes in oxy-Hb, deoxy-Hb, and StO 2 over FPL than over FPR, indicating that PFC oxygenation asymmetry occurs in response to hypoxia. Moreover, the change in total-Hb over FPL was associated with the increase in HR. Conclusions NIRS-determined hemodynamic responses and oxygenation changes secondary to hypoxia might not simply reflect the direct effect of hypoxia on cerebral vessels. Although there is no hemispheric difference in the PFC hemodynamic responses to hypoxia as in total-Hb, PFC oxygenation asymmetry occurs in young adults.
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Affiliation(s)
- Kojiro Ide
- Hokusho University, School of Lifelong Sport, Northern Region Lifelong Sports Research Center, Hokkaido, Japan
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19
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Annen J, Frasso G, van der Lande GJM, Bonin EAC, Vitello MM, Panda R, Sala A, Cavaliere C, Raimondo F, Bahri MA, Schiff ND, Gosseries O, Thibaut A, Laureys S. Cerebral electrometabolic coupling in disordered and normal states of consciousness. Cell Rep 2023; 42:112854. [PMID: 37498745 DOI: 10.1016/j.celrep.2023.112854] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 06/02/2023] [Accepted: 07/08/2023] [Indexed: 07/29/2023] Open
Abstract
We assess cerebral integrity with cortical and subcortical FDG-PET and cortical electroencephalography (EEG) within the mesocircuit model framework in patients with disorders of consciousness (DoCs). The mesocircuit hypothesis proposes that subcortical activation facilitates cortical function. We find that the metabolic balance of subcortical mesocircuit areas is informative for diagnosis and is associated with four EEG-based power spectral density patterns, cortical metabolism, and α power in healthy controls and patients with a DoC. Last, regional electrometabolic coupling at the cortical level can be identified in the θ and α ranges, showing positive and negative relations with glucose uptake, respectively. This relation is inverted in patients with a DoC, potentially related to altered orchestration of neural activity, and may underlie suboptimal excitability states in patients with a DoC. By understanding the neurobiological basis of the pathophysiology underlying DoCs, we foresee translational value for diagnosis and treatment of patients with a DoC.
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Affiliation(s)
- Jitka Annen
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium.
| | | | - Glenn J M van der Lande
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Estelle A C Bonin
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Marie M Vitello
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Rajanikant Panda
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Arianna Sala
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | | | - Federico Raimondo
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | - Olivia Gosseries
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Aurore Thibaut
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium; Joint International Research Unit on Consciousness, CERVO Brain Research Centre, University Laval, Quebec City, QC, Canada
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20
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Snipes S, Meier E, Meissner SN, Landolt HP, Huber R. How and when EEG reflects changes in neuronal connectivity due to time awake. iScience 2023; 26:107138. [PMID: 37534173 PMCID: PMC10391938 DOI: 10.1016/j.isci.2023.107138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/13/2023] [Accepted: 06/12/2023] [Indexed: 08/04/2023] Open
Abstract
Being awake means forming new memories, primarily by strengthening neuronal synapses. The increase in synaptic strength results in increasing neuronal synchronicity, which should result in higher amplitude electroencephalography (EEG) oscillations. This is observed for slow waves during sleep but has not been found for wake oscillations. We hypothesized that this was due to a limitation of spectral power analysis, which does not distinguish between changes in amplitudes from changes in number of occurrences of oscillations. By using cycle-by-cycle analysis instead, we found that theta and alpha oscillation amplitudes increase as much as 30% following 24 h of extended wake. These increases were interrupted during the wake maintenance zone (WMZ), a window just before bedtime when it is difficult to fall asleep. We found that pupil diameter increased during this window, suggesting the ascending arousal system is responsible. In conclusion, wake oscillation amplitudes reflect increased synaptic strength, except during the WMZ.
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Affiliation(s)
- Sophia Snipes
- Child Development Center, University Children’s Hospital Zürich, University of Zürich, 8032 Zürich, Switzerland
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zürich, 8092 Zürich, Switzerland
| | - Elias Meier
- Child Development Center, University Children’s Hospital Zürich, University of Zürich, 8032 Zürich, Switzerland
| | - Sarah Nadine Meissner
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zürich, 8092 Zürich, Switzerland
| | - Hans-Peter Landolt
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, 8057 Zürich, Switzerland
- Sleep & Health Zürich, University of Zürich, Zürich, 8006 Zürich, Switzerland
| | - Reto Huber
- Child Development Center, University Children’s Hospital Zürich, University of Zürich, 8032 Zürich, Switzerland
- Sleep & Health Zürich, University of Zürich, Zürich, 8006 Zürich, Switzerland
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zürich, 8008 Zürich, Switzerland
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21
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Salazar Leon LE, Brown AM, Kaku H, Sillitoe RV. Purkinje cell dysfunction causes disrupted sleep in ataxic mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.03.547586. [PMID: 37461479 PMCID: PMC10350025 DOI: 10.1101/2023.07.03.547586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Purkinje cell dysfunction causes movement disorders such as ataxia, however, recent evidence suggests that Purkinje cell dysfunction may also alter sleep regulation. Here, we used an ataxia mouse model generated by silencing Purkinje cell neurotransmission ( L7 Cre ;Vgat fx/fx ) to better understand how cerebellar dysfunction impacts sleep physiology. We focused our analysis on sleep architecture and electrocorticography (ECoG) patterns based on their relevance to extracting physiological measurements during sleep. We found that circadian activity is unaltered in the mutant mice, although their sleep parameters and ECoG patterns are modified. The L7 Cre ;Vgat fx/fx mutant mice have decreased wakefulness and rapid eye movement (REM) sleep, while non-rapid eye movement (NREM) sleep is increased. The mutant mice have an extended latency to REM sleep, which is also observed in human ataxia patients. Spectral analysis of ECoG signals revealed alterations in the power distribution across different frequency bands defining sleep. Therefore, Purkinje cell dysfunction may influence wakefulness and equilibrium of distinct sleep stages in ataxia. Our findings posit a connection between cerebellar dysfunction and disrupted sleep and underscore the importance of examining cerebellar circuit function in sleep disorders. Summary Statement Utilizing a precise genetic mouse model of ataxia, we provide insights into the cerebellum's role in sleep regulation, highlighting its potential as a therapeutic target for motor disorders-related sleep disruptions.
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22
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Lian J, Xu L, Song T, Peng Z, Zhang Z, An X, Chen S, Zhong X, Shao Y. Reduced Resting-State EEG Power Spectra and Functional Connectivity after 24 and 36 Hours of Sleep Deprivation. Brain Sci 2023; 13:949. [PMID: 37371427 DOI: 10.3390/brainsci13060949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Total sleep deprivation (TSD) leads to cognitive decline; however, the neurophysiological mechanisms underlying resting-state electroencephalogram (EEG) changes after TSD remain unclear. In this study, 42 healthy adult participants were subjected to 36 h of sleep deprivation (36 h TSD), and resting-state EEG data were recorded at baseline, after 24 h of sleep deprivation (24 h TSD), and after 36 h TSD. The analysis of resting-state EEG at baseline, after 24 h TSD, and after 36 h TSD using source localization analysis, power spectrum analysis, and functional connectivity analysis revealed a decrease in alpha-band power and a significant increase in delta-band power after TSD and impaired functional connectivity in the default mode network, precuneus, and inferior parietal lobule. The cortical activities of the precuneus, inferior parietal lobule, and superior parietal lobule were significantly reduced, but no difference was found between the 24 h and 36 h TSD groups. This may indicate that TSD caused some damage to the participants, but this damage temporarily slowed during the 24 h to 36 h TSD period.
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Affiliation(s)
- Jie Lian
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Lin Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Tao Song
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Ziyi Peng
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Zheyuan Zhang
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xin An
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Shufang Chen
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xiao Zhong
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China
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23
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Rodriguez-Larios J, Haegens S. Genuine beta bursts in human working memory: controlling for the influence of lower-frequency rhythms. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.26.542448. [PMID: 37292960 PMCID: PMC10245977 DOI: 10.1101/2023.05.26.542448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Human working memory is associated with significant modulations in oscillatory brain activity. However, the functional role of brain rhythms at different frequencies is still debated. Modulations in the beta frequency range (15-40 Hz) are especially difficult to interpret because they could be artifactually produced by (more prominent) oscillations in lower frequencies that show non-sinusoidal properties. In this study, we investigate beta oscillations during working memory while controlling for the possible influence of lower frequency rhythms. We collected electroencephalography (EEG) data in 31 participants who performed a spatial working-memory task with two levels of cognitive load. In order to rule out the possibility that observed beta activity was affected by non-sinusoidalities of lower frequency rhythms, we developed an algorithm that detects transient beta oscillations that do not coincide with more prominent lower frequency rhythms in time and space. Using this algorithm, we show that the amplitude and duration of beta bursts decrease with memory load and during memory manipulation, while their peak frequency and rate increase. In addition, interindividual differences in performance were significantly associated with beta burst rates. Together, our results show that beta rhythms are functionally modulated during working memory and that these changes cannot be attributed to lower frequency rhythms with non-sinusoidal properties.
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Affiliation(s)
- Julio Rodriguez-Larios
- Dept. of Psychiatry, Columbia University, New York, USA, NY 10032
- Div. of Systems Neuroscience, New York State Psychiatric Institute, New York, USA, NY 10032
| | - Saskia Haegens
- Dept. of Psychiatry, Columbia University, New York, USA, NY 10032
- Div. of Systems Neuroscience, New York State Psychiatric Institute, New York, USA, NY 10032
- Donders Institute for Brain, Cognition & Behavior, Radboud University, Nijmegen, The Netherlands, 6525 EN
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24
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Zhou L, Xu Y, Song F, Li W, Gao F, Zhu Q, Qian Z. The effect of TENS on sleep: A pilot study. Sleep Med 2023; 107:126-136. [PMID: 37167876 DOI: 10.1016/j.sleep.2023.04.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/20/2023] [Accepted: 04/27/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Insomnia is the second most common neuropsychiatric disorder, but the current treatments are not very effective. There is therefore an urgent need to develop better treatments. Transcutaneous electrical nerve stimulation (TENS) may be a promising means of treating insomnia. OBJECTIVE This work aims to explore whether and how TENS modulate sleep and the effect of stimulation waveforms on sleep. METHODS Forty-five healthy subjects participated in this study. Electroencephalography (EEG) data were recorded before and after four mode low-frequency (1 Hz) TENS with different waveforms, which were formed by superimposing sine waves of different high frequencies (60-210 Hz) and low frequencies (1-6 Hz). The four waveform modes are formed by combining sine waves of varying frequencies. Mode 1 (M1) consists of a combination of high frequencies (60-110 Hz) and low frequencies (1-6 Hz). Mode 2 (M2) is made up of high frequencies (60-210 Hz) and low frequencies (1-6 Hz). Mode 3 (M3) consists of high frequencies (110-160 Hz) and low frequencies (1-6 Hz), while mode 4 (M4) is composed of high frequencies (160-210 Hz) and low frequencies (1-6 Hz). For M1, M3 and M4, the high frequency portions of the stimulus waveforms account for 50%, while for M2, the high frequency portion of the waveform accounts for 65%. For each mode, the current intensities ranged from 4 mA to 7 mA, with values for each participant adjusted according to individual tolerance. During stimulation, the subjects were stimulated at the greater occipital nerve by the four mode TENS. RESULTS M1, M3, and M4 slowed down the frequency of neural activity, broadened the distribution of theta waves, and caused a decrease in activity in wakefulness-related regions and an increase in activity in sleep-related regions. However, M2 has the opposite modulation effect. CONCLUSION These results indicated that low-frequency TENS (1 Hz) may facilitate sleep in a waveform-specific manner. Our findings provide new insights into the mechanisms of sleep modulation by TENS and the design of effective insomnia treatments.
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Affiliation(s)
- Lu Zhou
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Multimodal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Nanjing, 210016, China; Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing, 210016, China
| | - Yixuan Xu
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Multimodal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Nanjing, 210016, China; Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing, 210016, China
| | - Fanlei Song
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Multimodal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Nanjing, 210016, China; Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing, 210016, China
| | - Weitao Li
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Multimodal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Nanjing, 210016, China; Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing, 210016, China
| | - Fan Gao
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Multimodal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Nanjing, 210016, China; Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing, 210016, China
| | - Qiaoqiao Zhu
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Multimodal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Nanjing, 210016, China; Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing, 210016, China.
| | - Zhiyu Qian
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China; Key Laboratory of Multimodal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Nanjing, 210016, China; Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing, 210016, China.
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25
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Mahady A, Takac M, De Foe A. What is autonomous sensory meridian response (ASMR)? A narrative review and comparative analysis of related phenomena. Conscious Cogn 2023; 109:103477. [PMID: 36806854 DOI: 10.1016/j.concog.2023.103477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 01/16/2023] [Accepted: 01/25/2023] [Indexed: 02/17/2023]
Abstract
A narrative review of autonomous sensory meridian response (ASMR) was carried out. Definitional factors relevant to ASMR were canvassed. Related, but distinctly unique, sensorial phenomena, including frisson, synaesthesia, and misophonia were considered. Finally, the status of literature with respect to clinical outcomes, individual differences, and current research applications was evaluated. ASMR is a nascent phenomenon that has rapidly progressed in scope and depth of study throughout the past decade; a notable shift from brief-form studies to an increase in formalised trials is noted. Yet, critical questions remain unaddressed, including expectancy and placebo effects, that future research should interrogate.
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Affiliation(s)
- Aidan Mahady
- School of Health and Biomedical Sciences, RMIT University, Australia
| | - Marcel Takac
- School of Health and Biomedical Sciences, RMIT University, Australia.
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26
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Dworetz A, Trotti LM, Sharma S. Novel Objective Measures of Hypersomnolence. CURRENT SLEEP MEDICINE REPORTS 2023; 9:45-55. [PMID: 37193087 PMCID: PMC10168608 DOI: 10.1007/s40675-022-00245-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2022] [Indexed: 01/11/2023]
Abstract
Purpose of review To provide a brief overview of current objective measures of hypersomnolence, discuss proposed measure modifications, and review emerging measures. Recent findings There is potential to optimize current tools using novel metrics. High-density and quantitative EEG-based measures may provide discriminative informative. Cognitive testing may quantify cognitive dysfunction common to hypersomnia disorders, particularly in attention, and objectively measure pathologic sleep inertia. Structural and functional neuroimaging studies in narcolepsy type 1 have shown considerable variability but so far implicate both hypothalamic and extra-hypothalamic regions; fewer studies of other CDH have been performed. There is recent renewed interest in pupillometry as a measure of alertness in the evaluation of hypersomnolence. Summary No single test captures the full spectrum of disorders and use of multiple measures will likely improve diagnostic precision. Research is needed to identify novel measures and disease-specific biomarkers, and to define combinations of measures optimal for CDH diagnosis.
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Affiliation(s)
- Alex Dworetz
- Sleep Disorders Center, Atlanta Veterans Affairs Medical Center, Atlanta, GA
| | - Lynn Marie Trotti
- Sleep Center, Emory Healthcare, Atlanta, GA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA
| | - Surina Sharma
- Sleep Center, Emory Healthcare, Atlanta, GA
- Deparment of Medicine, Emory University School of Medicine, Atlanta, GA
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Links between excessive daytime sleepiness and EEG power and activation in two subtypes of ADHD. Biol Psychol 2023; 177:108504. [PMID: 36681294 DOI: 10.1016/j.biopsycho.2023.108504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 12/20/2022] [Accepted: 01/14/2023] [Indexed: 01/20/2023]
Abstract
OBJECTIVES This study aimed to replicate previously reported EEG characteristics between typically developing (TD) children and two subtypes of Attention Deficit Hyperactivity Disorder (ADHD) using a frontal, single-channel, dry-sensor portable EEG device, and explore whether differences are moderated by excessive daytime sleepiness (EDS). METHODS Children with ADHD Inattentive (ADHD-I) and ADHD Combined presentation (ADHD-C) and typically-developing (TD) children (N = 34 in each group) had frontal EEG recorded during eyes-closed resting, eyes-open resting, and focus tasks. Participants also completed the Children's Self-Report Sleep Patterns - Sleepiness Scale as a measure of EDS. RESULTS Consistent with previous literature, there were increases in frontal delta and theta power in the ADHD-C compared to ADHD-I and TD groups, in all conditions. Novel power and activation effects in ADHD subtypes, as well as significant group and EDS interactions for alpha and beta power were also found. CONCLUSIONS These findings highlight the importance of considering ADHD subtypes and EDS when exploring EEG characteristics, and have important implications for the diagnosis and treatment of children with ADHD.
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28
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D'Ambrosia C, Aronoff-Spencer E, Huang EY, Goldhaber NH, Christensen HI, Broderick RC, Appelbaum LG. The neurophysiology of intraoperative error: An EEG study of trainee surgeons during robotic-assisted surgery simulations. FRONTIERS IN NEUROERGONOMICS 2023; 3:1052411. [PMID: 38235463 PMCID: PMC10790934 DOI: 10.3389/fnrgo.2022.1052411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 12/19/2022] [Indexed: 01/19/2024]
Abstract
Surgeons operate in mentally and physically demanding workspaces where the impact of error is highly consequential. Accurately characterizing the neurophysiology of surgeons during intraoperative error will help guide more accurate performance assessment and precision training for surgeons and other teleoperators. To better understand the neurophysiology of intraoperative error, we build and deploy a system for intraoperative error detection and electroencephalography (EEG) signal synchronization during robot-assisted surgery (RAS). We then examine the association between EEG data and detected errors. Our results suggest that there are significant EEG changes during intraoperative error that are detectable irrespective of surgical experience level.
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Affiliation(s)
- Christopher D'Ambrosia
- College of Physicians and Surgeons, Columbia University, New York, NY, United States
- Cognitive Robotics Laboratory, Department of Computer Science and Engineering, Contextual Robotics Institute, University of California, San Diego, La Jolla, CA, United States
| | - Eliah Aronoff-Spencer
- Department of Medicine, University of California, San Diego, La Jolla, CA, United States
| | - Estella Y. Huang
- Division of Minimally Invasive Surgery, Department of Surgery, University of California, San Diego, La Jolla, CA, United States
| | - Nicole H. Goldhaber
- Division of Minimally Invasive Surgery, Department of Surgery, University of California, San Diego, La Jolla, CA, United States
| | - Henrik I. Christensen
- Cognitive Robotics Laboratory, Department of Computer Science and Engineering, Contextual Robotics Institute, University of California, San Diego, La Jolla, CA, United States
| | - Ryan C. Broderick
- Division of Minimally Invasive Surgery, Department of Surgery, University of California, San Diego, La Jolla, CA, United States
| | - Lawrence G. Appelbaum
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
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Fink M, Pasche S, Schmidt K, Tewes M, Schuler M, Mülley BW, Schadendorf D, Scherbaum N, Kowalski A, Skoda EM, Teufel M. Neurofeedback Treatment Affects Affective Symptoms, But Not Perceived Cognitive Impairment in Cancer Patients: Results of an Explorative Randomized Controlled Trial. Integr Cancer Ther 2023; 22:15347354221149950. [PMID: 36691908 PMCID: PMC9893099 DOI: 10.1177/15347354221149950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 11/06/2022] [Accepted: 12/19/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND EEG biofeedback (NF) is an established therapy to enable individuals to influence their own cognitive-emotional state by addressing changes in brainwaves. Psycho-oncological approaches of NF in cancer patients are rare and effects are hardly studied. OBJECTIVE The aim of this explorative, randomized controlled trial was to test the effectiveness of an alpha and theta NF training protocol, compared to mindfulness based therapy as an established psycho-oncological treatment. METHODS Of initially 62 screened patients, 56 were included (inclusion criteria were cancer independent of tumor stage, age >18 years, German speaking; exclusion criteria suicidal ideation, brain tumor). Randomization and stratification (tumor stage) was conducted by a computer system. Participants got 10 sessions over 5 weeks, in (a) an NF intervention (n = 21; 13 female, 8 male; MAge = 52.95(10 519); range = 31 to 73 years)) or (b) a mindfulness group therapy as control condition (CG; n = 21; ie, 15 female, 6 male; MAge = 50.33(8708); range = 32 to 67 years)). Outcome parameters included self-reported cognitive impairment (PCI) as primary outcome, and secondary outcomes of emotional distress (DT, PHQ-8, GAD-7), fatigue (MFI-20), rumination (RSQ), quality of life (QoL, EORTC-30 QoL), self-efficacy (GSE), and changes in EEG alpha, and theta-beta band performance in the NF condition. RESULTS No changes in cognitive impairment were found (P = .079), neither in NF nor CG. High affective distress was evident, with 70.7% showing elevated distress and 34.1% showing severe depressive symptoms. Affective symptoms of distress (P ≤ .01), depression (P ≤ .05) and generalized anxiety (P ≤ .05) decreased significantly over time. No differences between NF and CG were found. There was a significant increase of the alpha band (P ≤ .05; N = 15) over the NF sessions. Self-efficacy predicted QoL increase in NF with P ≤ .001 and an explained variance of 48.2%. CONCLUSION This is the first study to investigate NF technique with regard to basic mechanisms of effectiveness in a sample of cancer patients, compared to an established psycho-oncological intervention in this field. Though there were no changes in cognitive impairment, present data show that NF improves affective symptoms comparably to mindfulness-based therapy and even more pronounced in QoL and self-efficacy.Trial registration: ID: DRKS00015773.
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Affiliation(s)
| | | | | | - Mitra Tewes
- University of Duisburg-Essen, Essen, Germany
| | - Martin Schuler
- University of Duisburg-Essen, Essen, Germany
- Partner Site University Hospital Essen, and German Cancer Research Center (DKFZ), Essen, Germany
| | - Bernhard W. Mülley
- University of Duisburg-Essen, Essen, Germany
- University of Wuppertal, Wuppertal, Germany
| | - Dirk Schadendorf
- University of Duisburg-Essen, Essen, Germany
- University Hospital Essen, Essen, Germany
| | | | - Axel Kowalski
- NeuroFit GmbH, Krefeld, Germany
- IB University of Applied Health and Social Sciences, Berlin, Germany
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Sleep Deprivation-Induced Changes in Baseline Brain Activity and Vigilant Attention Performance. Brain Sci 2022; 12:brainsci12121690. [PMID: 36552150 PMCID: PMC9775863 DOI: 10.3390/brainsci12121690] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/03/2022] [Accepted: 12/07/2022] [Indexed: 12/13/2022] Open
Abstract
Sleep deprivation (SD) negatively affects several aspects of cognitive performance, and one of the most widely-used tools to evaluate these effects is the Psychomotor Vigilance Test (PVT). The present study investigated the possibility of predicting changes induced by SD in vigilant attention performance by evaluating the baseline electroencephalographic (EEG) activity immediately preceding the PVT stimuli onset. All participants (n = 10) underwent EEG recordings during 10 min of PVT before and after a night of SD. For each participant, the root mean square (RMS) of the baseline EEG signal was evaluated for each 1 s time window, and the respective average value was computed. After SD, participants showed slower (and less accurate) performance in the PVT task. Moreover, a close relationship between the changes in the baseline activity with those in cognitive performance was identified at several electrodes (Fp2, F7, F8, P3, T6, O1, Oz, O2), with the highest predictive power at the occipital derivations. These results indicate that vigilant attention impairments induced by SD can be predicted by the pre-stimulus baseline activity changes.
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Cancer Patients’ Age-Related Benefits from Mobile Neurofeedback-Therapy in Quality of Life and Self-efficacy: A Clinical Waitlist Control Study. Appl Psychophysiol Biofeedback 2022; 48:217-227. [DOI: 10.1007/s10484-022-09571-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2022] [Indexed: 11/19/2022]
Abstract
AbstractElectroencephalographic neurofeedback (EEG NF) can improve quality of life (QoL) and reduce distress by modifying the amplitude of selected brain frequencies. This study aims to investigate the effects of NF therapy on QoL and self-efficacy in cancer patients and to explore age-related reactions. In a waitlist control paradigm, psychometric data (EORTC QLQ-C30, General Self-Efficacy Scale) of 20 patients were collected at three different time points, each five weeks apart. An outpatient 10-session NF intervention (mobile) was conducted between the second and third measurement point. QoL and self-efficacy changed significantly over time (QoL: F(2,36) = 5.294, p < .05, η2 = .227; Self-efficacy: F(2,26) = 8.178, p < .05, η2 = .386). While QoL increased in younger patients, older patients initially showed a decrease in QoL, which then increased during intervention. Younger patients did not differ from older patients in QoL in both waitlist control (T0-T1) and intervention phase (T1–T2). QoL in older patients significantly differed between waitlist control and intervention phase (Z = − 2.023, p < .05, d = 1.085). Self-efficacy increased in both age categories. Younger and older patients did not differ in self-efficacy in waitlist control, but in intervention phase (F(1,16) = 7.014, p < .05, η2 = .319). The current findings suggest that NF therapy is a promising treatment modality for improving QoL in cancer patients. Our study reveals NF being a tool to influence self-efficacy, which should receive more appreciation in clinical care. However, the effect of NF in different age groups as well as the influence on further cancer-related symptoms should be investigated in future research.
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N Bissonnette J, Anderson TJ, McKearney KJ, Tibbo PG, Fisher DJ. Alteration of Resting Electroencephalography by Acute Caffeine Consumption in Early Phase Psychosis. Clin EEG Neurosci 2022; 53:326-334. [PMID: 34806929 PMCID: PMC9174578 DOI: 10.1177/15500594211057355] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Individuals with schizophrenia use twice as much caffeine on average when compared to healthy controls. Knowing the high rates of consumption, and the potential negative effects of such, it is important we understand the cortical mechanisms that underlie caffeine use, and the consequences of caffeine use on neural circuits in this population. Using a randomized, placebo controlled, double-blind, repeated measures design, the current study examines caffeine's effects on resting electroencephalography (EEG) power in those who have been recently diagnosed with schizophrenia (SZ) compared to regular-using healthy controls (HC). Correlations between average caffeine consumption, withdrawal symptoms, drug related symptoms and clinical psychosis symptoms were measured and significant correlations with neurophysiological data were examined. Results showed caffeine had no effect on alpha asymmetry in the SZ group, although caffeine produced a more global effect on the reduction of alpha2 power in the SZ group. Further, those with more positive symptoms were found to have a greater reduction in alpha2 power following caffeine administration. Caffeine also reduced beta power during eyes closed and eyes open resting in HC, but only during eyes closed resting conditions in the SZ group. These findings provide a descriptive profile of the resting EEG state following caffeine administration in individuals with schizophrenia. The findings ultimately suggest caffeine does not affect alpha or beta power as readily in this population and a higher dose may be needed to achieve the desired effects, which may elucidate motivational factors for high caffeine use.
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Affiliation(s)
- Jenna N Bissonnette
- Department of Psychiatry, 3688Dalhousie University, Halifax, Nova Scotia, Canada
| | - T-Jay Anderson
- Department of Psychology, 3684Mount Saint Vincent University, Halifax, Nova Scotia, Canada.,Department of Psychology & Neuroscience, 3688Dalhousie University, Halifax, Nova Scotia, Canada
| | - Katelyn J McKearney
- Department of Psychology & Neuroscience, 3688Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Psychology, 3690Saint Mary's University, Halifax, Nova Scotia, Canada
| | - Philip G Tibbo
- Department of Psychiatry, 3688Dalhousie University, Halifax, Nova Scotia, Canada
| | - Derek J Fisher
- Department of Psychiatry, 3688Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Psychology, 3684Mount Saint Vincent University, Halifax, Nova Scotia, Canada.,Department of Psychology & Neuroscience, 3688Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Psychology, 3690Saint Mary's University, Halifax, Nova Scotia, Canada
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Li J, You J, Yin G, Xu J, Zhang Y, Yuan X, Chen Q, Ye J. Electroencephalography Theta/Beta Ratio Decreases in Patients with Severe Obstructive Sleep Apnea. Nat Sci Sleep 2022; 14:1021-1030. [PMID: 35669412 PMCID: PMC9165653 DOI: 10.2147/nss.s357722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/16/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose Accumulating evidence suggests that theta/beta ratio (TBR), an electroencephalographic (EEG) frequency band parameter, might serve as an objective marker of executive cognitive control in healthy adults. Obstructive sleep apnea (OSA) has a detrimental impact on patients' behavior and cognitive performance while whether TBR is different in OSA population has not been reported. This study aimed to explore the difference in relative EEG spectral power and TBR during sleep between patients with severe OSA and non-OSA groups. Patients and Methods 142 participants with in-laboratory nocturnal PSG recording were included, among which 100 participants suffered severe OSA (apnea hypopnea index, AHI > 30 events/hour; OSA group) and 42 participants had no OSA (AHI ≤ 5 events/h; control group). The fast Fourier transformation was used to compute the EEG power spectrum for total sleep duration within contiguous 30-second epochs of sleep. The demographic and polysomnographic characteristics, relative EEG spectral power and TBR of the two groups were compared. Results It was found that the beta band power during NREM sleep and total sleep was significantly higher in the OSA group than controls (p < 0.001, p = 0.012, respectively), and the theta band power during NREM sleep and total sleep was significantly lower in the OSA group than controls (p = 0.019, p = 0.014, respectively). TBR during NREM sleep, REM sleep and total sleep was significantly lower in the OSA group compared to the control group (p < 0.001 for NREM sleep and total sleep, p = 0.015 for REM sleep). TBR was negatively correlated with AHI during NREM sleep (r=-0.324, p < 0.001) and total sleep (r=-0. 312, p < 0.001). Conclusion TBR was significantly decreased in severe OSA patients compared to the controls, which was attributed to both increased beta power and decreased theta power. TBR may be a stable EEG-biomarker of OSA patients, which may accurately and reliably identify phenotype of patients.
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Affiliation(s)
- Jingjing Li
- Department of Otorhinopharyngology–Head and Neck Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Jingyuan You
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Guoping Yin
- Department of Otorhinopharyngology–Head and Neck Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Jinkun Xu
- Department of Otorhinopharyngology–Head and Neck Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Yuhuan Zhang
- Department of Otorhinopharyngology–Head and Neck Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Xuemei Yuan
- Department of Otorhinopharyngology–Head and Neck Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Qiang Chen
- Department of Otorhinopharyngology–Head and Neck Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
| | - Jingying Ye
- Department of Otorhinopharyngology–Head and Neck Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People’s Republic of China
- Institute of Precision Medicine, Tsinghua University, Beijing, People's Republic of China
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Tarailis P, De Blasio FM, Simkute D, Griskova-Bulanova I. Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State. J Pers Med 2022; 12:896. [PMID: 35743681 PMCID: PMC9225158 DOI: 10.3390/jpm12060896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 05/27/2022] [Accepted: 05/27/2022] [Indexed: 11/16/2022] Open
Abstract
The resting-state paradigm is frequently applied to study spontaneous activity of the brain in normal and clinical conditions. However, the relationship between the ongoing experience of mind wandering and the individual biological signal is still unclear. We aim to estimate associations between subjective experiences measured with the Amsterdam Resting-State Questionnaire and data-driven components of an electroencephalogram extracted by frequency principal component analysis (f-PCA). Five minutes of resting multichannel EEG was recorded in 226 participants and six EEG data-driven components were extracted-three components in the alpha range (peaking at 9, 10.5, and 11.5 Hz) and one each in the delta (peaking at 0.5 Hz), theta (peaking at 5.5 Hz) and beta (peaking at 17 Hz) ranges. Bayesian Pearson's correlation revealed a positive association between the individual loadings of the theta component and ratings for Sleepiness (r = 0.200, BF10 = 7.676), while the individual loadings on one of the alpha components correlated positively with scores for Comfort (r = 0.198, BF10 = 7.115). Our study indicates the relevance of assessments of spontaneous thought occurring during the resting-state for the understanding of the individual intrinsic electrical brain activity.
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Affiliation(s)
- Povilas Tarailis
- Life Sciences Center, Institute of Biosciences, Vilnius University, Sauletekio Ave. 7, LT-10257 Vilnius, Lithuania; (P.T.); (D.S.)
| | - Frances M. De Blasio
- Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW 2522, Australia;
| | - Dovile Simkute
- Life Sciences Center, Institute of Biosciences, Vilnius University, Sauletekio Ave. 7, LT-10257 Vilnius, Lithuania; (P.T.); (D.S.)
| | - Inga Griskova-Bulanova
- Life Sciences Center, Institute of Biosciences, Vilnius University, Sauletekio Ave. 7, LT-10257 Vilnius, Lithuania; (P.T.); (D.S.)
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Abidi A, Ben Khalifa K, Ben Cheikh R, Valderrama Sakuyama CA, Bedoui MH. Automatic Detection of Drowsiness in EEG Records Based on Machine Learning Approaches. Neural Process Lett 2022. [DOI: 10.1007/s11063-022-10858-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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36
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Alterations in spontaneous electrical brain activity after an extreme mountain ultramarathon. Biol Psychol 2022; 171:108348. [DOI: 10.1016/j.biopsycho.2022.108348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 04/13/2022] [Accepted: 05/06/2022] [Indexed: 11/22/2022]
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Abu Farha N, Al-Shargie F, Tariq U, Al-Nashash H. Improved Cognitive Vigilance Assessment after Artifact Reduction with Wavelet Independent Component Analysis. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22083051. [PMID: 35459033 PMCID: PMC9033092 DOI: 10.3390/s22083051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/10/2022] [Accepted: 04/11/2022] [Indexed: 05/15/2023]
Abstract
Vigilance level assessment is of prime importance to avoid life-threatening human error. Critical working environments such as air traffic control, driving, or military surveillance require the operator to be alert the whole time. The electroencephalogram (EEG) is a very common modality that can be used in assessing vigilance. Unfortunately, EEG signals are prone to artifacts due to eye movement, muscle contraction, and electrical noise. Mitigating these artifacts is important for an accurate vigilance level assessment. Independent Component Analysis (ICA) is an effective method and has been extensively used in the suppression of EEG artifacts. However, in vigilance assessment applications, it was found to suffer from leakage of the cerebral activity into artifacts. In this work, we show that the wavelet ICA (wICA) method provides an alternative for artifact reduction, leading to improved vigilance level assessment results. We conducted an experiment in nine human subjects to induce two vigilance states, alert and vigilance decrement, while performing a Stroop Color-Word Test for approximately 45 min. We then compared the performance of the ICA and wICA preprocessing methods using five classifiers. Our classification results showed that in terms of features extraction, the wICA method outperformed the existing ICA method. In the delta, theta, and alpha bands, we obtained a mean classification accuracy of 84.66% using the ICA method, whereas the mean accuracy using the wICA methodwas 96.9%. However, no significant improvement was observed in the beta band. In addition, we compared the topographical map to show the changes in power spectral density across the brain regions for the two vigilance states. The proposed method showed that the frontal and central regions were most sensitive to vigilance decrement. However, in this application, the proposed wICA shows a marginal improvement compared to the Fast-ICA.
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Affiliation(s)
- Nadia Abu Farha
- Biomedical Engineering Graduate Program, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates; (N.A.F.); (F.A.-S.); (U.T.)
| | - Fares Al-Shargie
- Biomedical Engineering Graduate Program, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates; (N.A.F.); (F.A.-S.); (U.T.)
- Department of Electrical Engineering, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
| | - Usman Tariq
- Biomedical Engineering Graduate Program, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates; (N.A.F.); (F.A.-S.); (U.T.)
- Department of Electrical Engineering, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
| | - Hasan Al-Nashash
- Biomedical Engineering Graduate Program, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates; (N.A.F.); (F.A.-S.); (U.T.)
- Department of Electrical Engineering, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
- Correspondence:
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Evoked responses to rhythmic visual stimulation vary across sources of intrinsic alpha activity in humans. Sci Rep 2022; 12:5986. [PMID: 35396521 PMCID: PMC8993822 DOI: 10.1038/s41598-022-09922-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 03/30/2022] [Indexed: 11/09/2022] Open
Abstract
Rhythmic flickering visual stimulation produces steady-state visually evoked potentials (SSVEPs) in electroencephalogram (EEG) recordings. Based on electrode-level analyses, two dichotomous models of the underpinning mechanisms leading to SSVEP generation have been proposed: entrainment or superposition, i.e., phase-alignment or independence of endogenous brain oscillations from flicker-induced oscillations, respectively. Electrode-level analyses, however, represent an averaged view of underlying 'source-level' activity, at which variability in SSVEPs may lie, possibly suggesting the co-existence of multiple mechanisms. To probe this idea, we investigated the variability of SSVEPs derived from the sources underpinning scalp EEG responses during presentation of a flickering radial checkerboard. Flicker was presented between 6 and 12 Hz in 1 Hz steps, and at individual alpha frequency (IAF i.e., the dominant frequency of endogenous alpha oscillatory activity). We tested whether sources of endogenous alpha activity could be dissociated according to evoked responses to different flicker frequencies relative to IAF. Occipitoparietal sources were identified by temporal independent component analysis, maximal resting-state alpha power at IAF and source localisation. The pattern of SSVEPs to rhythmic flicker relative to IAF was estimated by correlation coefficients, describing the correlation between the peak-to-peak amplitude of the SSVEP and the absolute distance of the flicker frequency from IAF across flicker conditions. We observed extreme variability in correlation coefficients across sources, ranging from -0.84 to 0.93, with sources showing largely different coefficients co-existing within subjects. This result demonstrates variation in evoked responses to flicker across sources of endogenous alpha oscillatory activity. Data support the idea of multiple SSVEP mechanisms.
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Lee E, Bang Y, Yoon IY, Choi HY. Entrapment of Binaural Auditory Beats in Subjects with Symptoms of Insomnia. Brain Sci 2022; 12:brainsci12030339. [PMID: 35326295 PMCID: PMC8945912 DOI: 10.3390/brainsci12030339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/20/2022] [Accepted: 02/28/2022] [Indexed: 11/16/2022] Open
Abstract
Binaural beat (BB) stimulation, which has two different frequencies for each ear, is reportedly effective in reducing anxiety and controlling mood. This study aimed to evaluate the brain wave entrainment effect of binaural beats and to propose an effective and safe supplementary therapy for relieving the symptoms of insomnia. Subjects between 20 and 59 years of age with subclinical symptoms of insomnia were recruited from the community. Quantitative electroencephalography was measured twice, before and two weeks after the BB intervention. Participants used the apparatus with or without 6 Hz BB for 30 min before going to bed for two weeks. When music with BB was played, the relative theta power increased (occipital, p = 0.009). After two weeks of intervention with music, the theta power increased when listening to music with BB (parietal, p = 0.009). After listening to music with BB for two weeks, the decrease in the beta power was more noticeable than after using music-only devices when participants listened to music in the laboratory (occipital, p = 0.035). When BB were played, the entrapment of the theta wave appeared. Therefore, exposure to music with BB is likely to reduce the hyper-arousal state and contribute to sleep induction.
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Affiliation(s)
- Eunyoung Lee
- Department of Psychiatry, Veteran Health Service Medical Center, Seoul 05368, Korea;
| | - Youngrong Bang
- Department of Psychiatry, Ulsan University Hospital, Ulsan 44033, Korea;
| | - In-Young Yoon
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam 13620, Korea;
- Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Ha-Yun Choi
- Department of Psychiatry, Veteran Health Service Medical Center, Seoul 05368, Korea;
- Department of Psychiatry, Seoul National University College of Medicine, Seoul 03080, Korea
- Correspondence: ; Tel.: +82-2-2225-1158
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Thiagarajah K, Chee HP, Sit NW. Effect of Alpha-S1-Casein Tryptic Hydrolysate and L-Theanine on Poor Sleep Quality: A Double Blind, Randomized Placebo-Controlled Crossover Trial. Nutrients 2022; 14:nu14030652. [PMID: 35277011 PMCID: PMC8838692 DOI: 10.3390/nu14030652] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/28/2022] [Accepted: 01/29/2022] [Indexed: 02/04/2023] Open
Abstract
This randomized, placebo-controlled, crossover and double-blind study investigates the effects of RLX2™ containing alpha-s1-casein tryptic hydrolysate and L-theanine in working adults affected by poor sleep quality. The supplement or placebo was randomly and blindly assigned to 39 subjects for four weeks and the changes in the subjective sleep assessment via the Pittsburgh Sleep Quality Index (PSQI), heart rate, blood pressure, salivary cortisol by high-performance liquid chromatography method and alpha power of awake electroencephalogram (EEG) were studied. The data were analyzed in two ways, by crossover and crossover summed up. The latter depicted that RLX2™ improved PSQI total score, sleep latency, sleep duration, sleep habitual efficiency, daytime dysfunction, and increased total and frontal alpha power significantly (p < 0.05). The supplement prolonged the total sleeping time by 45 min in the supplement receiving group compared to the placebo group (p < 0.001). However, only sleep duration and sleep habitual efficiency showed a profound effect in both analyses (p < 0.05). In conclusion, being given its beneficial effects without notable adverse events, it would be advantageous to use these nutraceutical ingredients to promote better sleep quality. Further studies with a larger number participants are warranted to support these findings.
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Avvenuti G, Bernardi G. Local sleep: A new concept in brain plasticity. HANDBOOK OF CLINICAL NEUROLOGY 2022; 184:35-52. [PMID: 35034748 DOI: 10.1016/b978-0-12-819410-2.00003-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Traditionally, sleep and wakefulness have been considered as two global, mutually exclusive states. However, this view has been challenged by the discovery that sleep and wakefulness are actually locally regulated and that islands of these two states may often coexist in the same individual. Importantly, such a local regulation seems to be the key for many essential functions of sleep, including the maintenance of cognitive efficiency and the consolidation of new skills and memories. Indeed, local changes in sleep-related oscillations occur in brain areas that are used and involved in learning during wakefulness. In turn, these changes directly modulate experience-dependent brain adaptations and the consolidation of newly acquired memories. In line with these observations, alterations in the regional balance between wake- and sleep-like activity have been shown to accompany many pathologic conditions, including psychiatric and neurologic disorders. In the last decade, experimental research has started to shed light on the mechanisms involved in the local regulation of sleep and wakefulness. The results of this research have opened new avenues of investigation regarding the function of sleep and have revealed novel potential targets for the treatment of several pathologic conditions.
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Affiliation(s)
- Giulia Avvenuti
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giulio Bernardi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.
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Luo X, Ru T, Chen Q, Hsiao FC, Hung CS, Yang CM, Zhou G. Temporal Dynamics of Subjective and Objective Alertness During Exposure to Bright Light in the Afternoon for 5 h. Front Physiol 2021; 12:771605. [PMID: 34950050 PMCID: PMC8691749 DOI: 10.3389/fphys.2021.771605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 11/08/2021] [Indexed: 11/22/2022] Open
Abstract
Light can induce an alertness response in humans. The effects of exposure to bright light vs. dim light on the levels of alertness during the day, especially in the afternoon, as reported in the literature, are inconsistent. This study employed a multiple measurement strategy to explore the temporal variations in the effects of exposure to bright light vs. regular office light (1,200 lx vs. 200 lx at eye level, 6,500 K) on the alertness of participants for 5 h in the afternoon. In this study, 20 healthy adults (11 female; mean age 23.25 ± 2.3 years) underwent the Karolinska sleepiness scale (KSS), the auditory psychomotor vigilance test (PVT), and the waking electroencephalogram (EEG) test for two levels of light intervention. The results yielded a relatively lower relative delta power and a relatively higher beta power for the 1,200 lx condition in comparison with the 200 lx condition. However, the light conditions elicited no statistically significant differences in the KSS scores and performance with respect to the PVT. The results suggested that exposure to bright light for 5 h in the afternoon could enhance physiological arousal while exerting insignificant effects on subjective feelings and performance abilities relating to the alertness of the participants.
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Affiliation(s)
- Xue Luo
- School of Psychology, South China Normal University, Guangzhou, China
| | - Taotao Ru
- Lab of Light and Physiopsychological Health, National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Optical Information Materials and Technology and Institute of Electronic Paper Displays, South China Normal University, South China Academy of Advanced Optoelectronics, Guangzhou, China
| | - Qingwei Chen
- Lab of Light and Physiopsychological Health, National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Optical Information Materials and Technology and Institute of Electronic Paper Displays, South China Normal University, South China Academy of Advanced Optoelectronics, Guangzhou, China
| | - Fan-Chi Hsiao
- Department of Counseling and Industrial/Organizational Psychology, Ming Chuan University, Taoyuan, Taiwan
| | - Ching-Sui Hung
- Department of Psychology, National Chengchi University, Taipei, Taiwan
| | - Chien-Ming Yang
- Department of Psychology, National Chengchi University, Taipei, Taiwan.,The Research Center for Mind, Brain, and Learning, National Chengchi University, Taipei, Taiwan
| | - Guofu Zhou
- Lab of Light and Physiopsychological Health, National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Optical Information Materials and Technology and Institute of Electronic Paper Displays, South China Normal University, South China Academy of Advanced Optoelectronics, Guangzhou, China
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Zaky MH, Shoorangiz R, Poudel GR, Yang L, Jones RD. Investigating the neural signature of microsleeps using EEG. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:6293-6296. [PMID: 34892552 DOI: 10.1109/embc46164.2021.9630401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
A microsleep (MS) is a complete lapse of responsiveness due to an episode of brief sleep (≲ 15 s) with eyes partially or completely closed. MSs are highly correlated with the risk of car accidents, severe injuries, and death. To investigate EEG changes during MSs, we used a 2D continuous visuomotor tracking (CVT) task and eye-video to identify MSs in 20 subjects performing the 50-min task. Following pre-processing, FFT spectral analysis was used to calculate the activity in the EEG delta, theta, alpha, beta, and gamma bands, followed by eLORETA for source reconstruction. A group statistical analysis was performed to compare the change in activity over EEG bands of an MS to its baseline. After correction for multiple comparisons, we found maximum increases in delta, theta, and alpha activities over the frontal lobe, and beta over the parietal and occipital lobes. There were no significant changes in the gamma band, and no significant decreases in any band. Our results are in agreement with previous studies which reported increased alpha activity in MSs. However, this is the first study to have reported increased beta activity during MSs, which, due to the usual association of beta activity with wakefulness, was unexpected.
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Avvenuti G, Bertelloni D, Lettieri G, Ricciardi E, Cecchetti L, Pietrini P, Bernardi G. Emotion Regulation Failures Are Preceded by Local Increases in Sleep-like Activity. J Cogn Neurosci 2021; 33:2342-2356. [PMID: 34618906 DOI: 10.1162/jocn_a_01753] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Emotion self-regulation relies both on cognitive and behavioral strategies implemented to modulate the subjective experience and/or the behavioral expression of a given emotion. Although it is known that a network encompassing fronto-cingulate and parietal brain areas is engaged during successful emotion regulation, the functional mechanisms underlying failures in emotion suppression (ES) are still unclear. In order to investigate this issue, we analyzed video and high-density EEG recordings of 20 healthy adult participants during an ES and a free expression task performed on two consecutive days. Changes in facial expression during ES, but not free expression, were preceded by local increases in sleep-like activity (1-4 Hz) in brain areas responsible for emotional suppression, including bilateral anterior insula and anterior cingulate cortex, and in right middle/inferior frontal gyrus (p < .05, corrected). Moreover, shorter sleep duration the night before the ES experiment correlated with the number of behavioral errors (p = .03) and tended to be associated with higher frontal sleep-like activity during ES failures (p = .09). These results indicate that local sleep-like activity may represent the cause of ES failures in humans and may offer a functional explanation for previous observations linking lack of sleep, changes in frontal activity, and emotional dysregulation.
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45
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Krepel N, van Dijk H, Sack AT, Swatzyna RJ, Arns M. To spindle or not to spindle: A replication study into spindling excessive beta as a transdiagnostic EEG feature associated with impulse control. Biol Psychol 2021; 165:108188. [PMID: 34517068 DOI: 10.1016/j.biopsycho.2021.108188] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 07/07/2021] [Accepted: 09/07/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Frontocentral Spindling Excessive Beta (SEB), a spindle-like beta-activity observed in the electroencephalogram (EEG), has been transdiagnostically associated with more problems with impulse control and sleep maintenance. The current study aims to replicate and elaborate on these findings. METHODS Participants reporting sleep problems (n = 31) or Attention-Deficit/Hyperactivity Disorder (ADHD) symptoms (n = 48) were included. Baseline ADHD-Rating Scale (ADHD-RS), Pittsburgh Sleep Quality Index (PSQI), Holland Sleep Disorder Questionnaire (HSDQ), and EEG were assessed. Analyses were confined to adults with frontocentral SEB. RESULTS Main effects of SEB showed more impulse control problems (d = 0.87) and false positive errors (d = 0.55) in participants with SEB. No significant associations with sleep or interactions with Sample were observed. DISCUSSION This study partially replicates an earlier study and demonstrates that participants exhibiting SEB report more impulse control problems, independent of diagnosis. Future studies should focus on automating SEB classification and further investigate the transdiagnostic nature of SEB.
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Affiliation(s)
- Noralie Krepel
- Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands
| | - Hanneke van Dijk
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands; Amsterdam UMC, University of Amsterdam, Department of Psychiatry (Location AMC), Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Alexander T Sack
- Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Ronald J Swatzyna
- Houston Neuroscience Brain Center, Houston, TX, USA; Clinical NeuroAnalytics, 1307 Oceanside Lane, League City, TX 77573, USA
| | - Martijn Arns
- Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, The Netherlands; Amsterdam UMC, University of Amsterdam, Department of Psychiatry (Location AMC), Amsterdam Neuroscience, Amsterdam, The Netherlands.
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46
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Luettich A, Franko E, Spronk DB, Lamb C, Corkill R, Patel J, Ezra M, Pattinson KTS. Beneficial Effect of Sodium Nitrite on EEG Ischaemic Markers in Patients with Subarachnoid Haemorrhage. Transl Stroke Res 2021; 13:265-275. [PMID: 34491543 PMCID: PMC8918451 DOI: 10.1007/s12975-021-00939-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/26/2021] [Accepted: 08/06/2021] [Indexed: 12/03/2022]
Abstract
Subarachnoid haemorrhage (SAH) is associated with long-term disability, serious reduction in quality of life and significant mortality. Early brain injury (EBI) refers to the pathological changes in cerebral metabolism and blood flow that happen in the first few days after ictus and may lead on to delayed cerebral ischaemia (DCI). A disruption of the nitric oxide (NO) pathway is hypothesised as a key mechanism underlying EBI. A decrease in the alpha-delta power ratio (ADR) of the electroencephalogram has been related to cerebral ischaemia. In an experimental medicine study, we tested the hypothesis that intravenous sodium nitrite, an NO donor, would lead to increases in ADR. We studied 33 patients with acute aneurysmal SAH in the EBI phase. Participants were randomised to either sodium nitrite or saline infusion for 1 h. EEG measurements were taken before the start of and during the infusion. Twenty-eight patients did not develop DCI and five patients developed DCI. In the patients who did not develop DCI, we found an increase in ADR during sodium nitrite versus saline infusion. In the five patients who developed DCI, we did not observe a consistent pattern of ADR changes. We suggest that ADR power changes in response to nitrite infusion reflect a NO-mediated reduction in cerebral ischaemia and increase in perfusion, adding further evidence to the role of the NO pathway in EBI after SAH. Our findings provide the basis for future clinical trials employing NO donors after SAH.
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Affiliation(s)
- Alexander Luettich
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK.
| | - Edit Franko
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Desiree B Spronk
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Catherine Lamb
- Neuro Intensive Care Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Rufus Corkill
- Department of Neuroradiology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jash Patel
- Department of Neurosurgery, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Martyn Ezra
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Kyle T S Pattinson
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
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Ochab JK, Szwed J, Oleś K, Bereś A, Chialvo DR, Domagalik A, Fąfrowicz M, Ogińska H, Gudowska-Nowak E, Marek T, Nowak MA. Observing changes in human functioning during induced sleep deficiency and recovery periods. PLoS One 2021; 16:e0255771. [PMID: 34469434 PMCID: PMC8409667 DOI: 10.1371/journal.pone.0255771] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 07/25/2021] [Indexed: 11/18/2022] Open
Abstract
Prolonged periods of sleep restriction seem to be common in the contemporary world. Sleep loss causes perturbations of circadian rhythmicity and degradation of waking alertness as reflected in attention, cognitive efficiency and memory. Understanding whether and how the human brain recovers from chronic sleep loss is important not only from a scientific but also from a public health perspective. In this work we report on behavioral, motor, and neurophysiological correlates of sleep loss in healthy adults in an unprecedented study conducted in natural conditions and comprising 21 consecutive days divided into periods of 4 days of regular life (a baseline), 10 days of chronic partial sleep restriction (30% reduction relative to individual sleep need) and 7 days of recovery. Throughout the whole experiment we continuously measured the spontaneous locomotor activity by means of actigraphy with 1-minute resolution. On a daily basis the subjects were undergoing EEG measurements (64-electrodes with 500 Hz sampling frequency): resting state with eyes open and closed (8 minutes long each) followed by Stroop task lasting 22 minutes. Altogether we analyzed actigraphy (distributions of rest and activity durations), behavioral measures (reaction times and accuracy from Stroop task) and EEG (amplitudes, latencies and scalp maps of event-related potentials from Stroop task and power spectra from resting states). We observed unanimous deterioration in all the measures during sleep restriction. Further results indicate that a week of recovery subsequent to prolonged periods of sleep restriction is insufficient to recover fully. Only one measure (mean reaction time in Stroop task) reverted to baseline values, while the others did not.
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Affiliation(s)
- Jeremi K. Ochab
- Institute of Theoretical Physics, Jagiellonian University, Kraków, Poland
- M. Kac Complex Systems Research Center, Jagiellonian University, Kraków, Poland
| | - Jerzy Szwed
- Institute of Theoretical Physics, Jagiellonian University, Kraków, Poland
- M. Kac Complex Systems Research Center, Jagiellonian University, Kraków, Poland
| | - Katarzyna Oleś
- Institute of Theoretical Physics, Jagiellonian University, Kraków, Poland
| | - Anna Bereś
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Kraków, Poland
| | - Dante R. Chialvo
- Center for Complex Systems & Brain Sciences (CEMSC3), Universidad Nacional de San Martín, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
| | - Aleksandra Domagalik
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Kraków, Poland
| | - Magdalena Fąfrowicz
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Kraków, Poland
| | - Halszka Ogińska
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Kraków, Poland
| | - Ewa Gudowska-Nowak
- Institute of Theoretical Physics, Jagiellonian University, Kraków, Poland
- Małopolska Center of Biotechnology, Jagiellonian University, Kraków, Poland
| | - Tadeusz Marek
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Kraków, Poland
- Małopolska Center of Biotechnology, Jagiellonian University, Kraków, Poland
| | - Maciej A. Nowak
- Institute of Theoretical Physics, Jagiellonian University, Kraków, Poland
- M. Kac Complex Systems Research Center, Jagiellonian University, Kraków, Poland
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48
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Hogan SE, Delgado GM, Hall MH, Nimgaonkar VL, Germain A, Buysse DJ, Wilckens KA. Slow-oscillation activity is reduced and high frequency activity is elevated in older adults with insomnia. J Clin Sleep Med 2021; 16:1445-1454. [PMID: 32406371 DOI: 10.5664/jcsm.8568] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
STUDY OBJECTIVES High-frequency electroencephalographic activity (> 16 Hz activity) is often elevated during nonrapid eye movement sleep among individuals with insomnia, in line with the hyperarousal theory of insomnia. Evidence regarding sleep depth marked by slow-wave activity (< 4 Hz) is more mixed. Distinguishing subcomponents of slow-wave activity (slow-oscillation [< 1 Hz] or delta activity [1-4 Hz)]) may be critical in understanding these discrepancies, given that these oscillations have different neural generators and are functionally distinct. Here we tested the effects of insomnia diagnosis and insomnia treatment on nonrapid eye movement electroencephalography in older adults, distinguishing slow-oscillation and delta power. METHODS In 93 older adults with insomnia and 71 good sleeper control participants (mean ages 68 years), effects of insomnia and cognitive behavioral therapy for insomnia (insomnia group only) on electroencephalographic spectral power were analyzed. Main effects and interactions with nonrapid eye movement period were assessed for the following frequency bands: slow-oscillation (0.5-1 Hz), delta (1-4 Hz), theta (4-8 Hz), alpha (8-12 Hz), sigma (12-16 Hz), and beta (16-32 Hz). RESULTS Slow-oscillation absolute and relative power were lower in the insomnia group compared with controls. There were no group differences in delta power. Insomnia was also associated with elevated 4-32 Hz absolute and relative power. After cognitive behavioral therapy for insomnia, absolute sigma and beta activity decreased. CONCLUSIONS Deficits in slow-wave activity in insomnia are specific to the slow-oscillation. Elevated high frequency activity is reduced for sigma and beta power following cognitive behavioral therapy for insomnia . These findings inform the pathophysiology of insomnia, including the mechanisms underlying cognitive behavioral therapy for insomnia in older adults.
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Affiliation(s)
- Sarah E Hogan
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Martica H Hall
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Anne Germain
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Daniel J Buysse
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Kliková M, Piorecký M, Miletínová E, Janků K, Dudysová DU, Bušková J. Objective REM sleep characteristics of recurrent isolated sleep paralysis: a case-control study. Sleep 2021; 44:6305144. [PMID: 34145456 DOI: 10.1093/sleep/zsab153] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 05/05/2021] [Indexed: 11/12/2022] Open
Abstract
STUDY OBJECTIVES Recurrent isolated sleep paralysis (RISP) is a rapid eye movement (REM) parasomnia characterized by a dissociative state with characteristics of REM sleep and wakefulness. Pathophysiology has not yet been clarified and very little research has been performed using objective polysomnographic measures with inconsistent results. The main aim of our study was to find whether higher REM sleep fragmentation is consistent with the theory of state dissociation or whether signs of dissociation can be detected by spectral analysis. METHODS Nineteen participants in the RISP group and 19 age- and gender-matched participants in the control group underwent two consecutive full-night video-polysomnography recordings with 19-channel electroencephalography. Apart from sleep macrostructure, other REM sleep characteristics such as REM arousal index, percentage of wakefulness and stage shifts within REM sleep period were analyzed, as well as power spectral analysis during REM sleep. RESULTS No difference was found in the macrostructural parameters of REM sleep (percentage of REM sleep and REM latency). Similarly, no significant difference was detected in REM sleep fragmentation (assessed by REM sleep arousal index, percentage of wakefulness and stage shifts within REM sleep). Power spectral analysis showed higher bifrontal beta activity in the RISP group during REM sleep. CONCLUSIONS The results showed an underlying persistent trait of higher cortical activity that may predispose patients with SP to be more likely to experience recurrent episodes, without any apparent macrostructural features including higher REM sleep fragmentation.
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Affiliation(s)
- Monika Kliková
- National Institute of Mental Health, Klecany, Czech Republic.,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Marek Piorecký
- National Institute of Mental Health, Klecany, Czech Republic.,Faculty of Biomedical Engineering, Czech Technical University, Prague, Czech Republic
| | - Eva Miletínová
- National Institute of Mental Health, Klecany, Czech Republic.,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Karolina Janků
- National Institute of Mental Health, Klecany, Czech Republic.,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Daniela Urbaczka Dudysová
- National Institute of Mental Health, Klecany, Czech Republic.,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jitka Bušková
- National Institute of Mental Health, Klecany, Czech Republic.,Third Faculty of Medicine, Charles University, Prague, Czech Republic
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50
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Putilov AA, Donskaya OG, Poluektov MG, Dorokhov VB. Age- and gender-associated differences in the sleepy brain's electroencephalogram. Physiol Meas 2021; 42. [PMID: 33238257 DOI: 10.1088/1361-6579/abcdf3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 11/25/2020] [Indexed: 11/11/2022]
Abstract
Background. With the eyes closed, an increase in sleepiness is associated with a decrease of spectral electroencephalographic (EEG) power in the high-frequency rage (i.e. alpha activity) and an increase of the power in the low-frequency range (i.e. theta activity). It has been suggested that the changes in the high- and low-frequency ranges might determine the two (earlier and later) drowsiness stages that precede sleep onset, respectively.Objective. We tested whether such spectral EEG signatures of sleepiness vary with age or gender.Approach. The EEG signal was recorded at 2 h intervals in 48 volunteers (15-67 years, 27 females) deprived of sleep between Friday evening and Sunday evening. The EEG signatures of sleepiness were calculated by expressing each EEG spectrum as a deviation from the initial (Friday evening) EEG spectrum.Main results. An age- and gender-specific variation was found in the signatures. Only the pattern of age-associated variation changed with an increase in the sleepiness level. A two-stage response to the increase of sleepiness was confirmed, but only in younger study participants. Subjective sleepiness was associated with neither age nor gender.Significance. In sleep-deprivation research, accounting for age- and gender-specific variations in the spectral EEG measures of drowsiness might be recommended. The results did not reveal any disturbance of the motivational function of subjective sleepiness in older study participants.
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Affiliation(s)
- Arcady A Putilov
- Research Group for Math-Modeling of Biomedical Systems, the Research Institute for Molecular Biology and Biophysics of the Federal Research Centre for Fundamental and Translational Medicine, Novosibirsk, Russia.,Laboratory of Sleep/Wake Neurobiology, the Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Olga G Donskaya
- Research Group for Math-Modeling of Biomedical Systems, the Research Institute for Molecular Biology and Biophysics of the Federal Research Centre for Fundamental and Translational Medicine, Novosibirsk, Russia
| | - Mikhail G Poluektov
- Department of Nervous Diseases and Neurosurgery, the Institute of Clinical Medicine of the I.M. Sechenov First Moscow Medical University (Sechenov University), Moscow, Russia
| | - Vladimir B Dorokhov
- Laboratory of Sleep/Wake Neurobiology, the Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
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