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Feng A, Zhi D, Fu Z, Yu S, Luo N, Calhoun V, Sui J. Genetic Etiology Link to Brain Function Underlying ADHD Symptoms and its Interaction with Sleep Disturbance: An ABCD Study. Neurosci Bull 2025:10.1007/s12264-025-01349-9. [PMID: 39827443 DOI: 10.1007/s12264-025-01349-9] [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: 06/07/2024] [Accepted: 09/18/2024] [Indexed: 01/22/2025] Open
Abstract
Attention deficit hyperactivity disorder (ADHD), a prevalent neurodevelopmental disorder influenced by both genetic and environmental factors, remains poorly understood regarding how its polygenic risk score (PRS) impacts functional networks and symptomology. This study capitalized on data from 11,430 children in the Adolescent Brain Cognitive Development study to explore the interplay between PRSADHD, brain function, and behavioral problems, along with their interactive effects. The results showed that children with a higher PRSADHD exhibited more severe attention deficits and rule-breaking problems, and experienced sleep disturbances, particularly in initiating and maintaining sleep. We also identified the central executive network, default mode network, and sensory-motor network as the functional networks most associated with PRS and symptoms in ADHD cases, with potential mediating roles. Particularly, the impact of PRSADHD was enhanced in children experiencing heightened sleep disturbances, emphasizing the need for early intervention in sleep issues to potentially mitigate subsequent ADHD symptoms.
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Affiliation(s)
- Aichen Feng
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Dongmei Zhi
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Zening Fu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, GA, 30303, USA
| | - Shan Yu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Na Luo
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, GA, 30303, USA
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
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Takahashi N, Tsuchiya KJ. Commentary: Relationships between screen time and childhood attention deficit hyperactivity disorder: a Mendelian randomization study. Front Psychiatry 2024; 15:1512149. [PMID: 39777203 PMCID: PMC11703913 DOI: 10.3389/fpsyt.2024.1512149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Accepted: 11/25/2024] [Indexed: 01/11/2025] Open
Affiliation(s)
- Nagahide Takahashi
- Department of Neurodevelopmental Disorders, National Center of Neurology and Psychiatry, Kodaira, Japan
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, University of Fukui, Suita, Japan
| | - Kenji J. Tsuchiya
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, University of Fukui, Suita, Japan
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Beynon AM, Straker LM, Lund Rasmussen C, Hendry D, Stearne SM, Zubrick SR, Jongeling B, Harris C, Silva D, Zabatiero J. Influence of maternal and infant technology use and other family factors on infant development. BMC Pediatr 2024; 24:690. [PMID: 39478500 PMCID: PMC11524025 DOI: 10.1186/s12887-024-05165-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 10/21/2024] [Indexed: 11/03/2024] Open
Abstract
BACKGROUND Digital technology is ubiquitous in the lives of many children and parents. To better understand any influence of technology use by infants, and mothers, on child development, technology use should be considered within the broader family system context in which children develop. This study aimed to investigate associations between infant and maternal technology use and infant 12-month development, taking into consideration other family factors. METHODS This cross-sectional study used data from ORIGINS participants, collected at 12-months of age: maternal and child technology use (TechU-Q), sociodemographic factors (e.g. child sex, household income), parental mental health (DASS-21), and child development (Ages and Stages Questionnaire). Linear regression was used for analyses. RESULTS When family factors were considered, higher infant mobile touchscreen device (MTSD) use was associated with poorer infant development for gross motor, problem-solving, and total ASQ-3 scores. In contrast there were no associations between infant television (TV) watching or maternal technology use and total ASQ-3 scores. Higher maternal technology use was associated with higher infant technology use. Poorer maternal and paternal mental health were associated with poorer infant development. Poorer maternal mental health was also associated with higher infant TV watching and higher maternal MTSD use. CONCLUSION There is a complex relationship between technology use, parental mental health and other family factors that together influence infant development. To improve infant development outcomes, less focus should be on infant or maternal technology use, and more on supporting the family as a whole, and parental mental health in particular.
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Affiliation(s)
- Amber M Beynon
- Curtin School of Allied Health, Curtin University, Perth, WA, 6845, Australia
- ARC Centre of Excellence for the Digital Child, Brisbane, Australia
| | - Leon M Straker
- Curtin School of Allied Health, Curtin University, Perth, WA, 6845, Australia
- ARC Centre of Excellence for the Digital Child, Brisbane, Australia
| | - Charlotte Lund Rasmussen
- Curtin School of Allied Health, Curtin University, Perth, WA, 6845, Australia
- ARC Centre of Excellence for the Digital Child, Brisbane, Australia
| | - Danica Hendry
- Curtin School of Allied Health, Curtin University, Perth, WA, 6845, Australia
- ARC Centre of Excellence for the Digital Child, Brisbane, Australia
| | - Sarah M Stearne
- Curtin School of Allied Health, Curtin University, Perth, WA, 6845, Australia
- ARC Centre of Excellence for the Digital Child, Brisbane, Australia
| | - Stephen R Zubrick
- The Kids Research Institute Australia, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Brad Jongeling
- Department of the Child Development Service, Perth, WA, Australia
- Joondalup Health Campus, Perth, WA, Australia
| | - Courtenay Harris
- Curtin School of Allied Health, Curtin University, Perth, WA, 6845, Australia
- ARC Centre of Excellence for the Digital Child, Brisbane, Australia
| | - Desiree Silva
- The Kids Research Institute Australia, Perth, WA, Australia
- Medical School, University of Western Australia, Perth, WA, Australia
- Joondalup Health Campus, Perth, WA, Australia
| | - Juliana Zabatiero
- Curtin School of Allied Health, Curtin University, Perth, WA, 6845, Australia.
- ARC Centre of Excellence for the Digital Child, Brisbane, Australia.
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de La Harpe R, Zagkos L, Gill D, Cronjé HT, Karhunen V. Cerebrospinal and Brain Proteins Implicated in Neuropsychiatric and Risk Factor Traits: Evidence from Mendelian Randomization. Biomedicines 2024; 12:327. [PMID: 38397929 PMCID: PMC10886978 DOI: 10.3390/biomedicines12020327] [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: 01/06/2024] [Revised: 01/25/2024] [Accepted: 01/27/2024] [Indexed: 02/25/2024] Open
Abstract
Neuropsychiatric disorders present a global health challenge, necessitating an understanding of their molecular mechanisms for therapeutic development. Using Mendelian randomization (MR) analysis, this study explored associations between genetically predicted levels of 173 proteins in cerebrospinal fluid (CSF) and 25 in the brain with 14 neuropsychiatric disorders and risk factors. Follow-up analyses assessed consistency across plasma protein levels and gene expression in various brain regions. Proteins were instrumented using tissue-specific genetic variants, and colocalization analysis confirmed unbiased gene variants. Consistent MR and colocalization evidence revealed that lower cortical expression of low-density lipoprotein receptor-related protein 8, coupled higher abundance in the CSF and plasma, associated with lower fluid intelligence scores and decreased bipolar disorder risk. Additionally, elevated apolipoprotein-E2 and hepatocyte growth factor-like protein in the CSF and brain were related to reduced leisure screen time and lower odds of physical activity, respectively. Furthermore, elevated CSF soluble tyrosine-protein kinase receptor 1 level increased liability to attention deficit hyperactivity disorder and schizophrenia alongside lower fluid intelligence scores. This research provides genetic evidence supporting novel tissue-specific proteomic targets for neuropsychiatric disorders and their risk factors. Further exploration is necessary to understand the underlying biological mechanisms and assess their potential for therapeutic intervention.
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Affiliation(s)
- Roxane de La Harpe
- Unit of Internal Medicine, Department of Medicine, University Hospital of Lausanne, 1011 Lausanne, Switzerland
| | - Loukas Zagkos
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2BX, UK; (L.Z.); (D.G.)
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2BX, UK; (L.Z.); (D.G.)
| | - Héléne T. Cronjé
- Department of Public Health, Section of Epidemiology, University of Copenhagen, 1165 Copenhagen, Denmark;
| | - Ville Karhunen
- Research Unit of Mathematical Sciences, Faculty of Science, University of Oulu, Fi-900014 Oulu, Finland;
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Fi-900014 Oulu, Finland
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