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Tham EK, Jafar NK, Koh CT, Goh DY, Broekman BF, Cai S. Sleep duration trajectories and cognition in early childhood: A systematic review. Sleep Med Rev 2024; 74:101912. [PMID: 38447279 DOI: 10.1016/j.smrv.2024.101912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 03/08/2024]
Abstract
Sleep is dynamic in childhood and studies have shown the relationship between sleep and cognition in children. As the human brain is the most plastic during childhood, the study of longitudinal sleep patterns and neurocognition is an important research area. We aimed to systematically review studies that investigated sleep duration trajectories and cognition in typically-developing children. We searched four databases for articles published between 2003 to October 2023. We included observation studies of children with sleep duration trajectories as a predictor and outcomes related to cognition, memory, language, developmental milestones, intelligence or executive function. We excluded studies where children had atypical development or completed the sleep and neurocognitive assessments after six and 12 years of age respectively. Out of 752 articles identified, 511 were screened and 23 full texts were assessed. The selected studies included three single trajectory and four multiple group trajectories studies. We found associations between both types of trajectories and cognitive development. Overall, children with longer sleep trajectories or more mature sleep pattern with rapid decrease in sleep duration, had better performance scores in developmental assessment tools, and intelligence tests. Findings for language and executive functioning were mixed, whereby some studies found associations and others did not.
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Affiliation(s)
- Elaine Kh Tham
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Nur K Jafar
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Celeste Tr Koh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Daniel Yt Goh
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore
| | - Birit Fp Broekman
- Department of Psychiatry, OLVG and Amsterdam UMC, Amsterdam Public Health Institute, Vrije Universiteit, Amsterdam, the Netherlands
| | - Shirong Cai
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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Wee CY, Poh JS, Wang Q, Broekman BF, Chong YS, Kwek K, Shek LP, Saw SM, Gluckman PD, Fortier MV, Meaney MJ, Qiu A. Behavioral Heterogeneity in Relation with Brain Functional Networks in Young Children. Cereb Cortex 2019; 28:3322-3331. [PMID: 30124829 DOI: 10.1093/cercor/bhx205] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 07/19/2017] [Indexed: 11/14/2022] Open
Abstract
This study aimed to identify distinct behavioral profiles in a population-based sample of 654 4-year-old children and characterize their relationships with brain functional networks using resting-state functional magnetic resonance imaging data. Young children showed 7 behavioral profiles, including a super healthy behavioral profile with the lowest scores across all Child Behavior CheckList (CBCL) subscales (G1) and other 6 behavioral profiles, respectively with pronounced withdrawal (G2), somatic complaints (G3), anxiety and withdrawal (G4), somatic complaints and withdrawal (G5), the mixture of emotion, withdrawal, and aggression (G6), and attention (G7) problems. Compared with children in G1, children with withdrawal shared abnormal functional connectivities among the sensorimotor networks. Children in emotionally relevant problems shared the common pattern among the attentional and frontal networks. Nevertheless, children in sole withdrawal problems showed a unique pattern of connectivity alterations among the sensorimotor, cerebellar, and salience networks. Children with somatic complaints showed abnormal functional connectivities between the attentional and subcortical networks, and between the language and posterior default mode networks. This study provides novel evidence on the existence of behavioral heterogeneity in early childhood and its associations with specific functional networks that are clinically relevant phenotypes for mental illness and are apparent from early childhood.
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Affiliation(s)
- Chong-Yaw Wee
- Department of Biomedical Engineering and Clinical Imaging Research Center, National University of Singapore, Singapore, Singapore
| | - Joann S Poh
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - Qiang Wang
- Department of Biomedical Engineering and Clinical Imaging Research Center, National University of Singapore, Singapore, Singapore
| | - Birit Fp Broekman
- Singapore Institute for Clinical Sciences, Singapore, Singapore.,Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Singapore, Singapore.,Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Kenneth Kwek
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Lynette P Shek
- Department of Pediatrics, Khoo Teck Puat - National University Children's Medical Institute, National University of Singapore, Singapore, Singapore
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Singapore, Singapore.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Canada QC.,Sackler Program for Epigenetics & Psychobiology at McGill University, Canada QC
| | - Anqi Qiu
- Department of Biomedical Engineering and Clinical Imaging Research Center, National University of Singapore, Singapore, Singapore.,Singapore Institute for Clinical Sciences, Singapore, Singapore
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Soe NN, Wen DJ, Poh JS, Chong Y, Broekman BF, Chen H, Shek LP, Tan KH, Gluckman PD, Fortier MV, Meaney MJ, Qiu A. Perinatal maternal depressive symptoms alter amygdala functional connectivity in girls. Hum Brain Mapp 2018; 39:680-690. [PMID: 29094774 PMCID: PMC6866529 DOI: 10.1002/hbm.23873] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 10/17/2017] [Accepted: 10/23/2017] [Indexed: 12/24/2022] Open
Abstract
Perinatal maternal depressive symptoms influence brain development of offspring. Such effects are particularly notable in the amygdala, a key structure involved in emotional processes. This study investigated whether the functional organization of the amygdala varies as a function of pre- and postnatal maternal depressive symptoms. The amygdala functional network was assessed using resting-state functional magnetic resonance imaging (rs-fMRI) in 128 children at age of 4.4 to 4.8 years. Maternal depressive symptoms were obtained at 26 weeks of gestation, 3 months, 1, 2, 3, and 4.5 years after delivery. Linear regression was used to examine associations between maternal depressive symptoms and the amygdala functional network. Prenatal maternal depressive symptoms were significantly associated with the functional connectivity between the amygdala and the cortico-striatal circuitry, especially the orbitofrontal cortex (OFC), insula, subgenual anterior cingulate (ACC), temporal pole, and striatum. Interestingly, greater pre- than post-natal depressive symptoms were associated with lower functional connectivity of the left amygdala with the bilateral subgenual ACC and left caudate and with lower functional connectivity of the right amygdala with the left OFC, insula, and temporal pole. These findings were only observed in girls but not in boys. Early exposure to maternal depressive symptoms influenced the functional organization of the cortico-striato-amygdala circuitry, which is intrinsic to emotional perception and regulation in girls. This suggests its roles in the transgenerational transmission of vulnerability for socio-emotional problems and depression. Moreover, this study underscored the importance of gender-dependent developmental pathways in defining the neural circuitry that underlies the risk for depression.
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Affiliation(s)
- Ni Ni Soe
- Department of Biomedical Engineering and Clinical Imaging Research CenterNational University of SingaporeSingapore
| | - Daniel J. Wen
- Department of Biomedical Engineering and Clinical Imaging Research CenterNational University of SingaporeSingapore
| | - Joann S. Poh
- Singapore Institute for Clinical SciencesSingapore
| | - Yap‐Seng Chong
- Singapore Institute for Clinical SciencesSingapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of MedicineNational University of Singapore, National University Health SystemSingapore
| | | | - Helen Chen
- Department of Psychological MedicineKKH, Duke‐National University of SingaporeSingapore
| | - Lynette P. Shek
- Singapore Institute for Clinical SciencesSingapore
- Department of Paediatrics, Yong Loo Lin School of MedicineNational University of SingaporeSingapore
- Khoo Teck Puat – National University Children's Medical Institute, National University Health SystemSingapore
| | - Kok Hian Tan
- KK Women's and Children's HospitalSingapore (KKH)
| | | | - Marielle V. Fortier
- Department of Diagnostic and Interventional ImagingKK Women's and Children's HospitalSingapore (KKH)
| | - Michael J. Meaney
- Singapore Institute for Clinical SciencesSingapore
- Ludmer Centre for Neuroinformatics and Mental HealthDouglas Mental Health University Institute, McGill UniversityCanada
- Sackler Program for Epigenetics and Psychobiology at McGill UniversityCanada
| | - Anqi Qiu
- Department of Biomedical Engineering and Clinical Imaging Research CenterNational University of SingaporeSingapore
- Singapore Institute for Clinical SciencesSingapore
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Lim GS, Kayanoth RK, Broekman BF, Chee CY. Perception of a single-session pre-in vitro fertilisation counselling service and attitudes towards support group: a survey of patients in Singapore. Singapore Med J 2017; 59:316-321. [PMID: 28741010 DOI: 10.11622/smedj.2017076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
INTRODUCTION This study aimed to investigate patients' evaluation of a compulsory pre-in vitro fertilisation (IVF) counselling session in Singapore and determine their attitudes towards attending a support group during IVF treatment. METHODS 464 patients due to undergo their first IVF treatment were recruited at the Clinic for Human Reproduction, National University Hospital, Singapore. Prior to IVF treatment, all patients attended a counselling session conducted by a clinical psychologist trained in infertility counselling. The Depression Anxiety Stress Scales 21 was used to measure patients' psychological symptoms of depression, anxiety and stress. A feedback form was administered after the session to determine their evaluation of the session and interest in attending a support group. RESULTS After the pre-IVF counselling session, 90.9% of patients reported that the session was useful, with over 80% of participants reporting that the session had helped them to better prepare for the IVF treatment, enhanced their coping and enabled them to better communicate their needs to their spouse. Overall, 64.1% of patients expressed interest in attending a support group, with male patients showing more interest. Financial resources and the level of psychological symptoms experienced were found to influence patients' motivation to attend a support group. CONCLUSION The single pre-IVF counselling session was well received and found to be useful by patients. Hence, it is recommended that IVF counselling be made an essential part of the holistic care given to patients undergoing IVF, particularly those who experience higher levels of distressing psychological symptoms.
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Affiliation(s)
- Gaik Suan Lim
- Department of Psychological Medicine, National University Hospital, Singapore
| | | | - Birit Fp Broekman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Cornelia Yi Chee
- Department of Psychological Medicine, National University Hospital, Singapore
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Chong SC, Broekman BF, Qiu A, Aris IM, Chan YH, Rifkin-Graboi A, Law E, Chee CYI, Chong YS, Kwek KY, Saw SM, Gluckman PD, Meaney MJ, Chen H. ANXIETY AND DEPRESSION DURING PREGNANCY AND TEMPERAMENT IN EARLY INFANCY: FINDINGS FROM A MULTI-ETHNIC, ASIAN, PROSPECTIVE BIRTH COHORT STUDY. Infant Ment Health J 2016; 37:584-98. [DOI: 10.1002/imhj.21582] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 03/10/2016] [Accepted: 06/10/2016] [Indexed: 11/08/2022]
Affiliation(s)
- Shang-Chee Chong
- National University Health System
- Yong Loo Lin School of Medicine, National University of Singapore
| | - Birit Fp Broekman
- National University Hospital
- Yong Loo Lin School of Medicine, National University of Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, National University Health System
| | - Anqi Qiu
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, National University Health System
- National University of Singapore
| | - Izzuddin M. Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, National University Health System
| | - Yiong Huak Chan
- Yong Loo Lin School of Medicine, National University of Singapore
| | - Anne Rifkin-Graboi
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, National University Health System
| | - Evelyn Law
- National University Health System
- Yong Loo Lin School of Medicine, National University of Singapore
| | | | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, National University Health System
- Yong Loo Lin School of Medicine, National University of Singapore
| | | | - Seang Mei Saw
- Saw Swee Hock School of Public Health; National University of Singapore, National University Health System
- Singapore Eye Research Institute; and Duke-NUS Graduate Medical School; Singapore
| | - Peter D. Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, National University Health System
- Liggins Institute; University of Auckland
| | - Michael J. Meaney
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, National University Health System
- Ludmer Centre for Neuroinformatics and Mental Health and Faculty of Medicine; McGill University
| | - Helen Chen
- Duke-NUS Graduate Medical School and KK Women's and Children's Hospital; Singapore
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