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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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Martz E, Weiner L, Bonnefond A, Weibel S. Disentangling racing thoughts from mind wandering in adult attention deficit hyperactivity disorder. Front Psychol 2023; 14:1166602. [PMID: 37731878 PMCID: PMC10507474 DOI: 10.3389/fpsyg.2023.1166602] [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: 02/15/2023] [Accepted: 08/18/2023] [Indexed: 09/22/2023] Open
Abstract
Introduction Mental restlessness reported by adult with Attention Deficit Hyperactivity Disorder (ADHD) has been mainly explained by excessive mind wandering. However, the description of a mind constantly on the go is also akin to racing thoughts, predominantly described in bipolar disorder. This paper aimed at disentangling mind wandering from racing thoughts in adult with ADHD. Associations between those mental phenomena and the ADHD symptomatology were also investigated. Methods To this aim, 84 adults with ADHD completed self-reported questionnaires, including the Mind Wandering-Deliberate and Mind Wandering-Spontaneous questionnaires, the Racing and Crowded Thoughts Questionnaire and the Daydreaming Frequency Scale. Factorial analysis and multiple linear regressions were performed. Results The factor analysis yielded a two-factor solution. The first factor encompassed the three facets of racing thoughts and was predicted by emotional lability. The second comprised deliberated-MW, spontaneous-MW and daydreaming, but was neither related to the ADHD symptoms, nor functional impairment. Discussion These findings suggest that MW and racing thoughts are two distinguishable mental phenomena. Racing thoughts appear to be a relevant hypothesis to explain the mental restlessness in adult ADHD.
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Affiliation(s)
- Emilie Martz
- INSERM U1114, Université de Strasbourg, Strasbourg, France
| | - Luisa Weiner
- Laboratoire de Psychologie des Cognitions, University of Strasbourg, Strasbourg, France
- Department of Psychiatry, University Hospital of Strasbourg, Strasbourg, France
| | - Anne Bonnefond
- INSERM U1114, Université de Strasbourg, Strasbourg, France
| | - Sébastien Weibel
- INSERM U1114, Université de Strasbourg, Strasbourg, France
- Department of Psychiatry, University Hospital of Strasbourg, Strasbourg, France
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Nawani H, Mittner M, Csifcsák G. Modulation of mind wandering using transcranial direct current stimulation: A meta-analysis based on electric field modeling. Neuroimage 2023; 272:120051. [PMID: 36965860 DOI: 10.1016/j.neuroimage.2023.120051] [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: 11/16/2022] [Revised: 03/03/2023] [Accepted: 03/22/2023] [Indexed: 03/27/2023] Open
Abstract
Mind wandering (MW) is a heterogeneous construct involving task-unrelated thoughts. Recently, the interest in modulating MW propensity via non-invasive brain stimulation techniques has increased. Single-session transcranial direct current stimulation (tDCS) in healthy controls has led to mixed results in modulating MW propensity, possibly due to methodological heterogeneity. Therefore, our aim was to conduct a systematic meta-analysis to examine the influence of left dorsolateral prefrontal cortex (lDLPFC) and right inferior parietal lobule (rIPL) targeted tDCS on MW propensity. Importantly, by computational modeling of tDCS-induced electric fields, we accounted for differences in tDCS-dose across studies that varied strongly in their applied methodology. Fifteen single-session, sham-controlled tDCS studies published until October 2021 were included. All studies involved healthy adult participants and used cognitive tasks combined with MW thought-probes. Heterogeneity in tDCS electrode placement, stimulation polarity and intensity were controlled for by means of electric field simulations, while overall methodological quality was assessed via an extended risk of bias (RoB) assessment. We found that RoB was the strongest predictor of study outcomes. Moreover, the rIPL was the most promising cortical area for influencing MW, with stronger anodal electric fields in this region being negatively associated with MW propensity. Electric field strength in the lDLPFC was not related to MW propensity. We identified several severe methodological problems that could have contributed to overestimated effect sizes in this literature, an issue that needs urgent attention in future research in this area. Overall, there is no reliable evidence for tDCS influencing MW in the healthy. However, the analysis also revealed that increasing neural excitability in the rIPL via tDCS might be associated with reduced MW propensity. In an exploratory approach, we also found some indication that targeting prefrontal regions outside the lDLPFC with tDCS could lead to increased MW propensity.
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Affiliation(s)
- Hema Nawani
- Institute for Psychology, UiT The Arctic University of Norway.
| | | | - Gábor Csifcsák
- Institute for Psychology, UiT The Arctic University of Norway.
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Cárdenas-Egúsquiza AL, Berntsen D. Sleep well, mind wander less: A systematic review of the relationship between sleep outcomes and spontaneous cognition. Conscious Cogn 2022; 102:103333. [PMID: 35623268 DOI: 10.1016/j.concog.2022.103333] [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: 02/22/2021] [Revised: 04/07/2022] [Accepted: 04/08/2022] [Indexed: 11/03/2022]
Abstract
Despite an upsurge of research on spontaneous cognition, little is known about its associations with sleep-related outcomes. This systematic review, following PRISMA guidelines, examined the relationship between sleep and spontaneous thoughts, across different definitions and measurements of sleep outcomes and spontaneous cognition, and a diversity of methodologies. Twenty-one articles with survey and/or experimental designs were identified. Self-reported disturbed sleep-comprising poor sleep quality, more insomnia symptoms, more daytime sleepiness and a tendency towards eveningness-and experimentally induced sleep deprivation were associated with a tendency to engage in disruptive mind wandering and daydreaming, but not positive-constructive daydreaming. Findings regarding circadian fluctuation in spontaneous thoughts were mixed and inconclusive. This systematic review bridges the gap between the sleep and spontaneous cognition research by contributing to the understanding of potential psychological and cognitive mechanisms of spontaneous cognition, as well as by elucidating the emotional and cognitive consequences of disturbed sleep.
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Affiliation(s)
- Ana Lucía Cárdenas-Egúsquiza
- Department of Psychology and Behavioral Sciences, Center on Autobiographical Memory Research, Aarhus University, Denmark.
| | - Dorthe Berntsen
- Department of Psychology and Behavioral Sciences, Center on Autobiographical Memory Research, Aarhus University, Denmark
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Gau SF, Hwang-Gu SL, Lin Y, Hsu CF, Ni HC. The link between mind-wandering and performance in a sustained attention to response test in adults with attention-deficit/hyperactivity disorder symptoms. TAIWANESE JOURNAL OF PSYCHIATRY 2022. [DOI: 10.4103/tpsy.tpsy_16_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Andrillon T, Burns A, Mackay T, Windt J, Tsuchiya N. Predicting lapses of attention with sleep-like slow waves. Nat Commun 2021; 12:3657. [PMID: 34188023 PMCID: PMC8241869 DOI: 10.1038/s41467-021-23890-7] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 04/21/2021] [Indexed: 11/10/2022] Open
Abstract
Attentional lapses occur commonly and are associated with mind wandering, where focus is turned to thoughts unrelated to ongoing tasks and environmental demands, or mind blanking, where the stream of consciousness itself comes to a halt. To understand the neural mechanisms underlying attentional lapses, we studied the behaviour, subjective experience and neural activity of healthy participants performing a task. Random interruptions prompted participants to indicate their mental states as task-focused, mind-wandering or mind-blanking. Using high-density electroencephalography, we report here that spatially and temporally localized slow waves, a pattern of neural activity characteristic of the transition toward sleep, accompany behavioural markers of lapses and preceded reports of mind wandering and mind blanking. The location of slow waves could distinguish between sluggish and impulsive behaviours, and between mind wandering and mind blanking. Our results suggest attentional lapses share a common physiological origin: the emergence of local sleep-like activity within the awake brain.
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Affiliation(s)
- Thomas Andrillon
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.
- Institut du Cerveau-Paris Brain Institute-ICM, Sorbonne Université, Inserm, CNRS, Paris, France.
| | - Angus Burns
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
| | - Teigane Mackay
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
| | - Jennifer Windt
- Philosophy Department, Monash University, Melbourne, VIC, Australia
| | - Naotsugu Tsuchiya
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
- Advanced Telecommunications Research Computational Neuroscience Laboratories, Soraku-gun, Kyoto, Japan
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