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Zhu Q, Wada H, Ueda Y, Onuki K, Miyakawa M, Sato S, Kameda Y, Matsumoto F, Inoshita A, Nakano H, Tanigawa T. Association between habitual snoring and vigilant attention in elementary school children. Sleep Med 2024; 118:9-15. [PMID: 38579378 DOI: 10.1016/j.sleep.2024.03.033] [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: 01/08/2024] [Revised: 03/17/2024] [Accepted: 03/21/2024] [Indexed: 04/07/2024]
Abstract
OBJECTIVES Vigilant attention (VA) is a fundamental neurocognitive function. However, the association between habitual snoring (HS) and VA in community-based children remains unclear. Therefore, this study aimed to elucidate the association. METHODS The study included 2014 children from grades 1-6 across six elementary schools. Snoring frequency was evaluated using a questionnaire administered to parents. VA was assessed using a brief 3-min psychomotor vigilance test (PVT-B). Generalized linear models and multivariate logistic regression analysis were utilized to examine the association between snoring frequency and PVT-B performance. Impaired PVT-B performance was defined as the worst quartile of PVT-B metrics. RESULTS The PVT-B performance significantly improved with advancing school grade level (p trend < 0.0001). A significant negative correlation was observed between snoring frequency and PVT-B performance. Particularly, in grade 1, HS was associated with a higher risk of impaired PVT-B performance, including response speed (mean reciprocal reaction time) (adjusted odds ratio [aOR] 2.56, 95% confidence interval [CI]: 1.20-5.50), more slowest 10% RT (aOR 3.28, 95% CI: 1.51-6.88), and more lapse500 (number of lapse of reaction time ≥ 500 ms) (aOR 3.18, 95% CI: 1.45-6.80) compared to children without snoring. CONCLUSIONS Our findings show that VA rapidly improves throughout elementary school. Additionally, younger children with HS are at risk of VA deficits, emphasizing the importance of early intervention for HS.
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Affiliation(s)
- Qinye Zhu
- Department of Public Health, Juntendo University Graduate School of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Hiroo Wada
- Department of Public Health, Juntendo University Graduate School of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Yuito Ueda
- Department of Public Health, Juntendo University Graduate School of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Keisuke Onuki
- Department of Public Health, Juntendo University Graduate School of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Mariko Miyakawa
- Department of Public Health, Juntendo University Graduate School of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Setsuko Sato
- Department of Public Health, Juntendo University Graduate School of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Yosihito Kameda
- Department of Public Health, Juntendo University Graduate School of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Fumihiko Matsumoto
- Department of Otorhinolaryngology, Juntendo University Faculty of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Ayako Inoshita
- Department of Otorhinolaryngology, Juntendo University Faculty of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan
| | - Hiroshi Nakano
- Sleep Disorders Centre, National Hospital Organization Fukuoka National Hospital, Yakatabaru, Minami-Ku, Fukuoka City, Japan
| | - Takeshi Tanigawa
- Department of Public Health, Juntendo University Graduate School of Medicine, Hongo, Bunkyo-Ku, Tokyo, Japan.
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2
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Tzischinsky O, Barel E. The Role of Sleep for Age-Related Differences in Neurobehavioral Performance. Life (Basel) 2024; 14:496. [PMID: 38672766 PMCID: PMC11051144 DOI: 10.3390/life14040496] [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: 03/11/2024] [Revised: 04/02/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
This study investigated developmental changes from childhood to adulthood in neurobehavioral performance and sleep measures. While many studies have examined age-related changes between childhood and adolescence and from mid-to-late adulthood, young adulthood has been overlooked. The main aim of this study was to investigate the effects of sleep loss on developmental changes in neurobehavioral performance and sleepiness in a natural setting. A total of 119 children, adolescents, and young adults (38 children aged 6-9; 38 adolescents aged 13-19; and 43 young adults aged 20-27) wore an actigraph for a continuous five-weekday night. Subjective sleepiness (Karolinska Sleepiness Scale) and neurobehavioral performance (using the psychomotor vigilance test and the digit symbol substitution test) were measured on five school days. The results showed that adolescents and young adults outperformed children on both the digit symbol substitution test and the psychomotor vigilance test measures. However, adolescents committed more errors of commission on the psychomotor vigilance test and reported higher levels of subjective sleepiness. The results are discussed in relation to brain maturation in various cognitive functions.
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Affiliation(s)
- Orna Tzischinsky
- Department of Behavioral Sciences and the Center for Psychobiological Research, The Max Stern Academic College of Emek Yezreel, Emek Yezreel 1930600, Israel
| | - Efrat Barel
- School of Psychological Sciences, University of Haifa, Haifa 3103301, Israel;
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3
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The relationship between brain neural correlates, self-objectification, and interoceptive sensibility. Behav Brain Res 2023; 439:114227. [PMID: 36436730 DOI: 10.1016/j.bbr.2022.114227] [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: 05/05/2022] [Revised: 11/23/2022] [Accepted: 11/23/2022] [Indexed: 11/25/2022]
Abstract
Interoceptive sensibility refers to the tendency to focus on internal bodily states and the capacity to detect them. As the subjective dimension of interoception, interoceptive sensibility plays a key role in individuals' health. Self-objectification, a process by which individuals tend to adopt a third-person's perspective of their physical self, leads to decreased interoceptive sensibility. However, few studies regarding the neural basis of interoceptive sensibility and the underlying mechanism of the relationship between self-objectification and interoceptive sensibility have been conducted. In this study, we assessed the resting-state brain activity (fractional amplitude of low-frequency fluctuation, fALFF) and connectivity (resting-state functional connectivity, RSFC) of 442 college students. Whole-brain correlation analyses revealed that a higher level of interoceptive sensibility was linked to higher fALFF in the right inferior frontal gyrus (IFG) and left cerebellum and to lower fALFF in the left paracentral lobule and left superior/middle temporal gyrus. Interoceptive sensibility also was negatively associated with the RSFC between the right IFG and the right secondary somatosensory cortex (S2) and the right IFG and the ventral premotor cortex (VPC). These brain regions and connections are mainly responsible for switching attention to internal/external information and processing body-related somatosensory as well as sensory information. Mediation analyses suggested that the fALFF of the right IFG and the RSFC of IFG-S2 and IFG-VPC mediated the relationship between self-objectification and interoceptive sensibility. Overall, these results suggest that the IFG may be the neural marker of interoceptive sensibility and reveal several potential mediation models of the relationship between brain neural correlates and self-objectification and interoceptive sensibility.
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4
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Gao C, Green JJ, Yang X, Oh S, Kim J, Shinkareva SV. Audiovisual integration in the human brain: a coordinate-based meta-analysis. Cereb Cortex 2022; 33:5574-5584. [PMID: 36336347 PMCID: PMC10152097 DOI: 10.1093/cercor/bhac443] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/09/2022] [Accepted: 10/10/2022] [Indexed: 11/09/2022] Open
Abstract
Abstract
People can seamlessly integrate a vast array of information from what they see and hear in the noisy and uncertain world. However, the neural underpinnings of audiovisual integration continue to be a topic of debate. Using strict inclusion criteria, we performed an activation likelihood estimation meta-analysis on 121 neuroimaging experiments with a total of 2,092 participants. We found that audiovisual integration is linked with the coexistence of multiple integration sites, including early cortical, subcortical, and higher association areas. Although activity was consistently found within the superior temporal cortex, different portions of this cortical region were identified depending on the analytical contrast used, complexity of the stimuli, and modality within which attention was directed. The context-dependent neural activity related to audiovisual integration suggests a flexible rather than fixed neural pathway for audiovisual integration. Together, our findings highlight a flexible multiple pathways model for audiovisual integration, with superior temporal cortex as the central node in these neural assemblies.
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Affiliation(s)
- Chuanji Gao
- Donders Institute for Brain, Cognition and Behaviour, Radboud University , Nijmegen , Netherlands
| | - Jessica J Green
- Department of Psychology, Institute for Mind and Brain, University of South Carolina , Columbia, SC 29201 , USA
| | - Xuan Yang
- Department of Psychology, Institute for Mind and Brain, University of South Carolina , Columbia, SC 29201 , USA
| | - Sewon Oh
- Department of Psychology, Institute for Mind and Brain, University of South Carolina , Columbia, SC 29201 , USA
| | - Jongwan Kim
- Department of Psychology, Jeonbuk National University , Jeonju , South Korea
| | - Svetlana V Shinkareva
- Department of Psychology, Institute for Mind and Brain, University of South Carolina , Columbia, SC 29201 , USA
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5
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Barel E, Tzischinsky O. The Role of Sleep Patterns from Childhood to Adolescence in Vigilant Attention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14432. [PMID: 36361313 PMCID: PMC9657444 DOI: 10.3390/ijerph192114432] [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: 09/10/2022] [Revised: 10/30/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Only a few studies addressed age-related changes from childhood to adolescence in sleep patterns, sleepiness, and attention. Vigilant attention plays a key role in cognitive performance. While its nature and course have been investigated broadly among adults, only limited research has been conducted on its development between childhood and adolescence. The main aim of the current study was to replicate previous findings about the effects of sleep loss on age-related changes in vigilance attention performance and sleepiness in a natural setting. A total of 104 children and adolescents (46 children aged 6-9 and 58 adolescents aged 13-19) wore an actigraph for a continuous five to seven nights, including weekdays and weekends. Subjective sleepiness (Karolinska Sleepiness Scale) and a Psychomotor Vigilance Test (PVT-B) were measured on two school days and one non-school day. Findings showed that PVT-B performance differed by age group, with adolescents outperforming children in PVT-B measures in spite of their elevated subjective sleepiness. Adolescents demonstrated less sleep time and increased sleepiness. Although PVT-B performance was better among adolescents, a within-subject analysis revealed that adolescents performed better on PVT measures on weekends than on weekdays. The results are discussed in relation to the synaptic elimination model.
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6
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Longitudinal maturation of resting state networks: Relevance to sustained attention and attention deficit/hyperactivity disorder. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2022; 22:1432-1446. [PMID: 35676491 PMCID: PMC9622522 DOI: 10.3758/s13415-022-01017-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/21/2022] [Indexed: 01/27/2023]
Abstract
The transition from childhood to adolescence involves important neural function, cognition, and behavior changes. However, the links between maturing brain function and sustained attention over this period could be better understood. This study examined typical changes in network functional connectivity over childhood to adolescence, developmental differences in attention deficit/hyperactivity disorder (ADHD), and how functional connectivity might underpin variability in sustained attention development in a longitudinal sample. A total of 398 resting state scans were collected from 173 children and adolescents (88 ADHD, 85 control) at up to three timepoints across ages 9-14 years. The effects of age, sex, and diagnostic group on changes in network functional connectivity were assessed, followed by relationships between functional connectivity and sustained attention development using linear mixed effects modelling. The ADHD group displayed greater decreases in functional connectivity between salience and visual networks compared with controls. Lower childhood functional connectivity between the frontoparietal and several brain networks was associated with more rapid sustained attention development, whereas frontoparietal to dorsal attention network connectivity related to attention trajectories in children with ADHD alone. Brain network segregation may increase into adolescence as predicted by key developmental theories; however, participants with ADHD demonstrated altered developmental trajectories between salience and visual networks. The segregation of the frontoparietal network from other brain networks may be a mechanism supporting sustained attention development. Frontoparietal to dorsal attention connectivity can be a focus for further work in ADHD.
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7
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Morandini HAE, Rao P, Hood SD, Zepf FD, Silk TJ, Griffiths KR. Age-related resting-state functional connectivity of the Vigilant Attention network in children and adolescents. Brain Cogn 2021; 154:105791. [PMID: 34509772 DOI: 10.1016/j.bandc.2021.105791] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/27/2021] [Accepted: 08/29/2021] [Indexed: 11/25/2022]
Abstract
The development of Vigilant Attention (VA), the ability to focus and maintain our attention to repetitive and cognitively unchallenging tasks over time, has been investigated for more than a decade. The development of this critical executive function across the lifespan has been characterised by a rapid improvement in VA performance throughout childhood and adolescence, a steady improvement in adulthood and a slow decline in older adulthood. However, the development of the neural correlates of VA in children and adolescents remains poorly understood. Using a cross-sectional design, the present study used a meta-analytically defined VA network in children and adolescents to explore the developmental trend of the resting-state functional connectivity (rsFC) within the VA network across two independent cohorts. The results showed a linear and non-linear decrease of rsFC between the left and right VA brain regions across age. However, the results could not be reproduced in the replication cohort, potentially due to a smaller sample size. Based on previous findings from behavioural studies, the present findings suggest that changes in rsFC may underlie a developmental shift in cognitive strategies in neurotypical children and adolescents.
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Affiliation(s)
- Hugo A E Morandini
- Centre & Discipline of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia; Division of Psychiatry, UWA Medical School, Faculty of Health & Medical Sciences, The University of Western Australia, Australia.
| | - Pradeep Rao
- Centre & Discipline of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia; Telethon Kids Institute, Perth, Western Australia, Australia; Child and Adolescent Mental Health Service, Child and Adolescent Health Service, Perth, Australia
| | - Sean D Hood
- Division of Psychiatry, UWA Medical School, Faculty of Health & Medical Sciences, The University of Western Australia, Australia
| | - Florian D Zepf
- Centre & Discipline of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia; Telethon Kids Institute, Perth, Western Australia, Australia; Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Timothy J Silk
- School of Psychology, Deakin University, Geelong, Australia; Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Kristi R Griffiths
- The Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia
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8
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Morandini HAE, Rao P, Hood SD, Griffiths K, Silk TJ, Zepf FD. Effects of dietary omega-3 intake on vigilant attention and resting-state functional connectivity in neurotypical children and adolescents. Nutr Neurosci 2021; 25:2269-2278. [PMID: 34369315 DOI: 10.1080/1028415x.2021.1955434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Vigilant Attention (VA) is a critical cognitive function allowing to maintain our attention, particularly in redundant or intellectually unchallenging situations. Evidence has shown that, as the brain develops, VA abilities rapidly improve throughout childhood and adolescence. Dietary omega-3 polyunsaturated fats (PUFA), playing a critical role for proper brain development and maturation of cortical regions, may contribute to variations in VA abilities. OBJECTIVE The present study investigated the effect of dietary omega-3 PUFA intake (docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA)) on resting-state functional connectivity (rsFC) of a meta-analytically defined VA network in 24 neurotypical children and adolescents (7.3-17.2 years) from the Healthy Brain Network databank. METHODS Functional MRI and phenotypical information were collected from the Healthy Brain Network databank. Intake of omega-3 DHA and EPA was assessed using a food frequency questionnaire and was adjusted for total calorie intake. Out of scanner VA-related performance was assessed using the VA condition of the Adaptive Cognitive Evaluation tool. RESULTS Overall, reported intake of omega-3 PUFA was not significantly associated with VA-related performance. Furthermore, energy-adjusted omega-3 intake was not significantly correlated with rsFC within the VA network. A complementary whole-brain analysis revealed that energy-adjusted omega-3 intake was correlated with decreased rsFC between parieto-occipital brain regions. CONCLUSION The present study was not able to detect a relationship between dietary omega-3 and rsFC or VA performance.
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Affiliation(s)
- Hugo A E Morandini
- Centre & Discipline of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Australia.,Division of Psychiatry, UWA Medical School, Faculty of Health & Medical Sciences, The University of Western Australia, Perth, Australia
| | - Pradeep Rao
- Centre & Discipline of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Australia.,Telethon Kids Institute, Perth, Australia.,Child and Adolescent Mental Health Service, Child and Adolescent Health Service, Perth, Australia
| | - Sean D Hood
- Division of Psychiatry, UWA Medical School, Faculty of Health & Medical Sciences, The University of Western Australia, Perth, Australia
| | - Kristi Griffiths
- The Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Australia
| | - Timothy J Silk
- School of Psychology, Deakin University, Geelong, Australia.,Murdoch Children's Research Institute, Melbourne, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Florian D Zepf
- Centre & Discipline of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Australia.,Telethon Kids Institute, Perth, Australia.,Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Friedrich Schiller University, Jena, Germany
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9
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Knott R, Johnson BP, Tiego J, Mellahn O, Finlay A, Kallady K, Kouspos M, Mohanakumar Sindhu VP, Hawi Z, Arnatkeviciute A, Chau T, Maron D, Mercieca EC, Furley K, Harris K, Williams K, Ure A, Fornito A, Gray K, Coghill D, Nicholson A, Phung D, Loth E, Mason L, Murphy D, Buitelaar J, Bellgrove MA. The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology. Mol Autism 2021; 12:55. [PMID: 34353377 PMCID: PMC8340366 DOI: 10.1186/s13229-021-00457-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 07/05/2021] [Indexed: 11/20/2022] Open
Abstract
Background ASD and ADHD are prevalent neurodevelopmental disorders that frequently co-occur and have strong evidence for a degree of shared genetic aetiology. Behavioural and neurocognitive heterogeneity in ASD and ADHD has hampered attempts to map the underlying genetics and neurobiology, predict intervention response, and improve diagnostic accuracy. Moving away from categorical conceptualisations of psychopathology to a dimensional approach is anticipated to facilitate discovery of data-driven clusters and enhance our understanding of the neurobiological and genetic aetiology of these conditions. The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project is one of the first large-scale, family-based studies to take a truly transdiagnostic approach to ASD and ADHD. Using a comprehensive phenotyping protocol capturing dimensional traits central to ASD and ADHD, the MAGNET project aims to identify data-driven clusters across ADHD-ASD spectra using deep phenotyping of symptoms and behaviours; investigate the degree of familiality for different dimensional ASD-ADHD phenotypes and clusters; and map the neurocognitive, brain imaging, and genetic correlates of these data-driven symptom-based clusters. Methods The MAGNET project will recruit 1,200 families with children who are either typically developing, or who display elevated ASD, ADHD, or ASD-ADHD traits, in addition to affected and unaffected biological siblings of probands, and parents. All children will be comprehensively phenotyped for behavioural symptoms, comorbidities, neurocognitive and neuroimaging traits and genetics. Conclusion The MAGNET project will be the first large-scale family study to take a transdiagnostic approach to ASD-ADHD, utilising deep phenotyping across behavioural, neurocognitive, brain imaging and genetic measures. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-021-00457-3.
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Affiliation(s)
- Rachael Knott
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia.
| | - Beth P Johnson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Olivia Mellahn
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Amy Finlay
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kathryn Kallady
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Maria Kouspos
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Vishnu Priya Mohanakumar Sindhu
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Ziarih Hawi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Aurina Arnatkeviciute
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Tracey Chau
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Dalia Maron
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Emily-Clare Mercieca
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kirsten Furley
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Katrina Harris
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Department of Developmental Paediatrics, Monash Children's Hospital, 246 Clayton Rd, Clayton, VIC, 3168, Australia
| | - Katrina Williams
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Department of Developmental Paediatrics, Monash Children's Hospital, 246 Clayton Rd, Clayton, VIC, 3168, Australia.,Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia
| | - Alexandra Ure
- Department of Paediatrics, Monash University, Melbourne, VIC, 3800, Australia.,Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Department of Mental Health, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Neurodevelopment and Disability Research, Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
| | - Kylie Gray
- Centre for Educational Development, Appraisal, and Research, University of Warwick, Coventry, CV4 7AL, UK.,Department of Psychiatry, School of Clinical Sciences, Monash University, 246 Clayton Rd, Melbourne, VIC, 3168, Australia
| | - David Coghill
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, Royal Children's Hospital, 50 Flemington Road, Parkville, VIC, 3052, Australia.,Department of Mental Health, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia.,Neurodevelopment and Disability Research, Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC, 3052, Australia
| | - Ann Nicholson
- Faculty of Information and Technology, Monash University, Melbourne, VIC, 3800, Australia
| | - Dinh Phung
- Faculty of Information and Technology, Monash University, Melbourne, VIC, 3800, Australia
| | - Eva Loth
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.,Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Luke Mason
- Centre for Brain and Cognitive Development, Birkbeck, University of London, Henry Welcome Building, Malet Street, London, WC1E 7HX, UK
| | - Declan Murphy
- Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK.,Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Melbourne, VIC, 3800, Australia
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10
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Luo X, Guo J, Li D, Liu L, Chen Y, Zhu Y, Johnstone SJ, Wang Y, Song Y, Sun L. Atypical Developmental Trajectories of Early Perception Among School-Age Children With Attention Deficit Hyperactivity Disorder During a Visual Search Task. Child Dev 2021; 92:e1186-e1197. [PMID: 34181274 DOI: 10.1111/cdev.13604] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by cognitive deficits associated with attention. Prior studies have revealed the potential impact of ADHD on basic perception and cognitive ability in patients with ADHD. In this study, bilateral posterior P1 and N1 were measured in 122 Chinese children aged 7-12 years (64 with ADHD) to investigate the developmental characteristics of early perception during visual processing in school-age children with ADHD. For children with ADHD, a larger P1 activity with an atypical developmental pattern was evoked and observed for the visual search performance. These findings offer new insights into the mechanisms of cognitive developmental deficits and intervention techniques in children with ADHD.
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Affiliation(s)
- Xiangsheng Luo
- Peking University Sixth Hospital & Peking University Institute of Mental Health.,NHC Key Laboratory of Mental Health (Peking University) & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)
| | - Jialiang Guo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University
| | - Dongwei Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University
| | - Lu Liu
- Peking University Sixth Hospital & Peking University Institute of Mental Health.,NHC Key Laboratory of Mental Health (Peking University) & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)
| | - Yanbo Chen
- Peking University Sixth Hospital & Peking University Institute of Mental Health.,NHC Key Laboratory of Mental Health (Peking University) & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)
| | - Yu Zhu
- Peking University Sixth Hospital & Peking University Institute of Mental Health.,NHC Key Laboratory of Mental Health (Peking University) & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)
| | | | - Yufeng Wang
- Peking University Sixth Hospital & Peking University Institute of Mental Health.,NHC Key Laboratory of Mental Health (Peking University) & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University
| | - Li Sun
- Peking University Sixth Hospital & Peking University Institute of Mental Health.,NHC Key Laboratory of Mental Health (Peking University) & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)
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11
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Giovannoli J, Martella D, Casagrande M. Assessing the Three Attentional Networks and Vigilance in the Adolescence Stages. Brain Sci 2021; 11:brainsci11040503. [PMID: 33923437 PMCID: PMC8073862 DOI: 10.3390/brainsci11040503] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/06/2021] [Accepted: 04/14/2021] [Indexed: 12/03/2022] Open
Abstract
Attention involves three functionally and neuroanatomically distinct neural networks: alerting, orienting, and executive control. This study aimed to assess the attentional networks and vigilance in adolescents aged between 10 and 19 years using the attentional network test for interaction and vigilance (ANTI-V). One hundred and eighty-two adolescents divided into three groups (early adolescents, middle adolescents, late adolescents) participated in the study. The results indicate that after age 15, adolescents adopt a more conservative response strategy and increase the monitoring of self-errors. All the attentional networks seem to continue to develop during the age range considered in this study (10–19 y). Performance improved from early adolescence to middle adolescence and began to stabilize in late adolescence. Moreover, a low level of vigilance seems to harm alerting and orienting abilities.
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Affiliation(s)
- Jasmine Giovannoli
- Dipartimento di Psicologia, Università degli Studi di Roma “La Sapienza”, 00185 Roma, Italy
- Correspondence: (J.G.); (M.C.)
| | - Diana Martella
- Instituto de Estudios Sociales y Humanísticos, Universidad Autónoma de Chile, Santiago de Chile 7500000, Chile;
| | - Maria Casagrande
- Dipartimento di Psicologia Dinamica, Clinica e Salute, Università degli Studi di Roma “La Sapienza”, 00185 Roma, Italy
- Correspondence: (J.G.); (M.C.)
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12
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The authors reply. Crit Care Med 2021; 49:e551-e553. [PMID: 33854022 DOI: 10.1097/ccm.0000000000004954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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13
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Boen R, Ferschmann L, Vijayakumar N, Overbye K, Fjell AM, Espeseth T, Tamnes CK. Development of attention networks from childhood to young adulthood: A study of performance, intraindividual variability and cortical thickness. Cortex 2021; 138:138-151. [PMID: 33689979 DOI: 10.1016/j.cortex.2021.01.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 01/04/2021] [Accepted: 01/26/2021] [Indexed: 11/24/2022]
Abstract
Human cognitive development is manifold, with different functions developing at different speeds at different ages. Attention is an important domain of this cognitive development, and involves distinct developmental trajectories for separate functions, including conflict processing, selection of sensory input and alertness. In children, several studies using the Attention Network Test (ANT) have investigated the development of three attentional networks that carry out the functions of executive control, orienting and alerting. There is, however, a lack of studies on the development of these attentional components across adolescence, limiting our understanding of their protracted development. To fill this knowledge gap, we performed a mixed cross-sectional and longitudinal study using mixed methods to examine the development of the attentional components and their intraindividual variability from late childhood to young adulthood (n = 287, n observations = 408, age range = 8.5-26.7 years, mean follow up interval = 4.4 years). The results indicated that executive control stabilized during late adolescence, while orienting and alerting continued to develop into young adulthood. In addition, a continuous development into young adulthood was observed for the intraindividual variability measures of orienting and alerting. In a subsample with available magnetic resonance imaging (MRI) data (n = 169, n observations = 281), higher alerting scores were associated with thicker cortices within a right prefrontal cortical region and greater age-related cortical thinning in left rolandic operculum, while higher orienting scores were associated with greater age-related cortical thinning in frontal and parietal regions. Finally, increased consistency of orienting performance was associated with thinner cortex in prefrontal regions and reduced age-related thinning in frontal regions.
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Affiliation(s)
- Rune Boen
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Lia Ferschmann
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway; Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway
| | | | - Knut Overbye
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway; Bjørknes College, Oslo, Norway
| | - Christian K Tamnes
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
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