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Bowler A, Arichi T, Austerberry C, Fearon P, Ronald A. A Systematic Review and Meta-Analysis of the Associations Between Motor Milestone Timing and Motor Development in Neurodevelopmental Conditions. Neurosci Biobehav Rev 2024:105825. [PMID: 39067834 DOI: 10.1016/j.neubiorev.2024.105825] [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: 01/29/2024] [Revised: 07/16/2024] [Accepted: 07/21/2024] [Indexed: 07/30/2024]
Abstract
Early motor skills may be important early markers of neurodevelopmental conditions or predictors of their later onset. To explore this, we conducted a systematic review and meta-analysis of infant motor skill assessments in those who go on to gain a clinical diagnosis of autism, attention deficit hyperactivity disorder (ADHD), schizophrenia, language conditions, tic disorders, or developmental coordination disorder (DCD). In total, 65 articles met inclusion criteria. Three three-level meta-analyses were run. Meta-analysis of milestone achievement in N=21354 individuals revealed gross motor milestones were significantly delayed compared to controls (g= 0.53, p< 0.001). Subgroup analyses revealed autism (g= 0.63) and DCD (g= 0.53) had the highest magnitude delays. Specific delays were revealed for holding the head up (g= 0.21), sitting (g= 0.28), standing (g= 0.35), crawling (g=0.19), and walking (g= 0.71). Meta-analyses of standardised motor skill measurements in N=1976 individuals revealed reduced performance compared to controls in autism and language conditions (g= -0.54, p< 0.001). Together, these findings demonstrate delayed milestone attainment and motor impairments in early childhood in neurodevelopmental conditions.
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Affiliation(s)
- Aislinn Bowler
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK.
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, UK; Paediatric Neurosciences, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK; MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Chloe Austerberry
- Centre for Family Research, Department of Psychology, University of Cambridge, Cambridge, UK; Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Pasco Fearon
- Centre for Family Research, Department of Psychology, University of Cambridge, Cambridge, UK; Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK; School of Psychology, University of Surrey, Guildford, UK
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2
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Lee T, Lim J, Kim S, Kim J, Park KJ, Joung YS, Kim HW. The association between symptoms of developmental coordination disorder and neuropsychological characteristics in children with and without ADHD. Front Psychiatry 2024; 15:1441102. [PMID: 39119077 PMCID: PMC11306174 DOI: 10.3389/fpsyt.2024.1441102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 07/10/2024] [Indexed: 08/10/2024] Open
Abstract
Objective Attention-deficit/hyperactivity disorder (ADHD) frequently co-occurs with developmental coordination disorder (DCD). This study aimed to evaluate the association between DCD symptoms and neuropsychological characteristics in children with and without ADHD. Methods We recruited 298 children aged 5-12 years. Motor performance was assessed using the Developmental Coordination Disorder Questionnaire (DCDQ), while ADHD symptoms were assessed using the ADHD Rating Scale (ARS) and the Advanced Test of Attention (ATA). Cognitive characteristics were measured using the Wechsler Intelligence Scale, and behavioral characteristics were assessed using the Korean Personality Rating Scale for Children. Results The children had a mean age of 7.6 ± 1.7 years, with 214 (71.8%) being boys. Among children diagnosed with ADHD (n = 176), 39.2% exceeded the DCDQ cutoff score, compared to 4.1% in the neurotypical group (n = 122). In the correlation analysis, the DCDQ total score was significantly correlated with ARS, omission and commission errors in visual and auditory ATA, and full-scale intellectual quotient. In addition, symptoms of depression, social dysfunction, and psychosis were correlated with the DCDQ total score. In the between-group analysis, children with both ADHD and DCD exhibited more omission errors on the auditory ATA and behavioral problems related to depression, social dysfunction, and psychosis compared to children with ADHD only. Conclusion Our study indicates that children with ADHD exhibit more difficulties in motor performance. Children with both ADHD and DCD may present with a greater burden of psychiatric conditions than children with ADHD only, suggesting the need for careful monitoring in clinical practice.
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Affiliation(s)
- Taeyeop Lee
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jongseok Lim
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Seonok Kim
- Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jichul Kim
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Kee Jeong Park
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Yoo-Sook Joung
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Hyo-Won Kim
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
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3
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Perzanowski MS, Rauh V, Ramphal B, Acosta L, Hoepner L, Rundle AG, Perera FP, Herbstman J, Miller RL, Margolis AE. Rhinorrhea and watery eyes in infancy and risk of attention-deficit hyperactivity disorder in school-age children. Dev Psychobiol 2024; 66:e22497. [PMID: 38689370 DOI: 10.1002/dev.22497] [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: 02/28/2023] [Revised: 04/04/2024] [Accepted: 04/06/2024] [Indexed: 05/02/2024]
Abstract
Increased parasympathetic nervous system (PNS) activity is associated with attention-deficit/hyperactivity disorder (ADHD) inattentive symptoms, but not hyperactive-impulsive symptoms, and may contribute to inattentive subtype etiology. Guided by prior work linking infant rhinorrhea and watery eyes without a cold (RWWC) to PNS dysregulation, we examined associations between infant RWWC and childhood ADHD symptoms in a longitudinal cohort of Black and Latinx children living in the context of economic disadvantage (N = 301 youth: 158 females, 143 males). Infant RWWC predicted higher inattentive (relative risk [RR] 2.16, p < .001) but not hyperactive-impulsive (RR 1.53, p = .065) ADHD symptoms (DuPaul scale), administered to caregivers at child age 8-14 years. Stratified analyses revealed that these associations were present in females but not males, who were three times more likely to have higher ADHD current total symptoms if they had infant RWWC than if they did not. Additionally, associations between RWWC and inattention symptoms were observed only in females. RWWC may thus serve as a novel risk marker of ADHD inattentive-type symptoms, especially for females.
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Affiliation(s)
- Matthew S Perzanowski
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Virginia Rauh
- Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Bruce Ramphal
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Luis Acosta
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Lori Hoepner
- Data Coordinating Center, Columbia University, New York, New York, USA
- Department of Environmental and Occupational Health Sciences, SUNY Downstate Health Sciences University School of Public Health, Brooklyn, New York, USA
| | - Andrew G Rundle
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Frederica P Perera
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Julie Herbstman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Rachel L Miller
- Division of Clinical Immunology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Amy E Margolis
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, USA
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Wilson RB, Vangala S, Reetzke R, Pierges A, Ozonoff S, Miller M. Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high likelihood for ASD and ADHD. Autism Res 2024; 17:1094-1105. [PMID: 38747403 PMCID: PMC11338043 DOI: 10.1002/aur.3150] [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: 12/22/2023] [Accepted: 05/05/2024] [Indexed: 05/21/2024]
Abstract
Early motor delays and differences are common among children with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). Yet, little work has shown whether there are early atypical motor signs that differentiate these groups. Quantitative measures of movement variability hold promise for improving the identification of subtle and specific differences in motor function among infants and toddlers at high likelihood for ASD and ADHD. To this end, we created a novel quantitative measure of movement variability (movement curvature) and conducted a preliminary investigation as to whether this measure improves outcome predictions. We used a wearable triaxial accelerometer to evaluate continuous motion-based activity in infants at high and low likelihood for ASD and ADHD at 12, 18, 24, and 36 months of age. At 36 months, participants were categorized into three outcome groups: ASD (n = 19), ADHD concerns (n = 17), and a comparison group (n = 82). We examined group differences in movement curvature and whether movement curvature is predictive of a later ASD or ADHD concerns classification. We found that movement curvature was significantly lower in infants with later ASD diagnosis at 18, 24, and 36 months of age compared to infants with either ADHD concerns or those in the comparison group. Movement curvature was also a significant predictor of ASD at 18, 24, and 36 months (AUC 0.66-0.71; p = 0.005-0.039) and when adjusting for high ASD likelihood at 18 and 24 months (AUC 0.90, p = 0.05-0.019). These results indicate that lower movement curvature may be a feature of early motor differences in infants with later ASD diagnosis as early as 18 months of age.
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Affiliation(s)
- Rujuta B. Wilson
- UCLA Center for Autism Research and Treatment, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA
| | - Sitaram Vangala
- UCLA Department of Medicine Statistics Core, Los Angeles, California, USA
| | - Rachel Reetzke
- Center for Autism and Related Disorders, Kennedy Krieger Institute and Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Antonia Pierges
- UC Davis Department of Psychiatry & Biobehavioral Sciences and MIND Institute, Sacramento, California, USA
| | - Sally Ozonoff
- UC Davis Department of Psychiatry & Biobehavioral Sciences and MIND Institute, Sacramento, California, USA
| | - Meghan Miller
- UC Davis Department of Psychiatry & Biobehavioral Sciences and MIND Institute, Sacramento, California, USA
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De Roubaix A, Van de Velde D, Van Waelvelde H. Parental report of early features of developmental coordination disorder: A qualitative study. RESEARCH IN DEVELOPMENTAL DISABILITIES 2023; 143:104636. [PMID: 37980836 DOI: 10.1016/j.ridd.2023.104636] [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: 03/31/2023] [Revised: 07/10/2023] [Accepted: 11/07/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Developmental Coordination Disorder (DCD) is a neurodevelopmental condition usually diagnosed after five years of age. AIMS To evaluate parent-reported early markers of DCD between birth and six years of age. METHODS AND PROCEDURES In-depth semi-structured interviews were conducted with parents of twelve children diagnosed with DCD. Up to three interviews were performed per family. The interviews were then transcribed ad-verbatim and analyzed using an inductive thematic analysis approach. OUTCOMES AND RESULTS The first theme 'Child-specific features' discusses the children's challenges in diverse developmental domains (motor milestones, activities of daily living, play and exploration, fatigue and sleep, participation, sensory processing, coping skills and friendships, and verbal skills), varying in severity for each child and each domain. The second theme 'Features in the context' discusses subtle markers in the direct environment of the children such as quests for explanations and therapy, specific participation choices, concerns by other caregivers, and the emergence of secondary consequences. CONCLUSIONS AND IMPLICATIONS This study reports the presence of early features of DCD from the first year of life and suggests important topics to discuss with parents in the diagnostic process of DCD.
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Affiliation(s)
- Amy De Roubaix
- Faculty of Medicine and Health Care Sciences, Department of Rehabilitation Sciences, Ghent University, Entrance 46, UZ Ghent, C. Heymanslaan 10, 9000 Ghent, Belgium.
| | - Dominique Van de Velde
- Faculty of Medicine and Health Care Sciences, Department of Rehabilitation Sciences, Ghent University, Entrance 46, UZ Ghent, C. Heymanslaan 10, 9000 Ghent, Belgium
| | - Hilde Van Waelvelde
- Faculty of Medicine and Health Care Sciences, Department of Rehabilitation Sciences, Ghent University, Entrance 46, UZ Ghent, C. Heymanslaan 10, 9000 Ghent, Belgium
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Chaulagain A, Lyhmann I, Halmøy A, Widding-Havneraas T, Nyttingnes O, Bjelland I, Mykletun A. A systematic meta-review of systematic reviews on attention deficit hyperactivity disorder. Eur Psychiatry 2023; 66:e90. [PMID: 37974470 PMCID: PMC10755583 DOI: 10.1192/j.eurpsy.2023.2451] [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: 01/10/2023] [Revised: 05/29/2023] [Accepted: 08/31/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND There are now hundreds of systematic reviews on attention deficit hyperactivity disorder (ADHD) of variable quality. To help navigate this literature, we have reviewed systematic reviews on any topic on ADHD. METHODS We searched MEDLINE, PubMed, PsycINFO, Cochrane Library, and Web of Science and performed quality assessment according to the Joanna Briggs Institute Manual for Evidence Synthesis. A total of 231 systematic reviews and meta-analyses met the eligibility criteria. RESULTS The prevalence of ADHD was 7.2% for children and adolescents and 2.5% for adults, though with major uncertainty due to methodological variation in the existing literature. There is evidence for both biological and social risk factors for ADHD, but this evidence is mostly correlational rather than causal due to confounding and reverse causality. There is strong evidence for the efficacy of pharmacological treatment on symptom reduction in the short-term, particularly for stimulants. However, there is limited evidence for the efficacy of pharmacotherapy in mitigating adverse life trajectories such as educational attainment, employment, substance abuse, injuries, suicides, crime, and comorbid mental and somatic conditions. Pharmacotherapy is linked with side effects like disturbed sleep, reduced appetite, and increased blood pressure, but less is known about potential adverse effects after long-term use. Evidence of the efficacy of nonpharmacological treatments is mixed. CONCLUSIONS Despite hundreds of systematic reviews on ADHD, key questions are still unanswered. Evidence gaps remain as to a more accurate prevalence of ADHD, whether documented risk factors are causal, the efficacy of nonpharmacological treatments on any outcomes, and pharmacotherapy in mitigating the adverse outcomes associated with ADHD.
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Affiliation(s)
- Ashmita Chaulagain
- Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Ingvild Lyhmann
- Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Anne Halmøy
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Tarjei Widding-Havneraas
- Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Olav Nyttingnes
- Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Ingvar Bjelland
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Arnstein Mykletun
- Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
- Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway
- Department of Community Medicine, UiT – The Arctic University of Norway, Tromsø, Norway
- Centre for Work and Mental Health, Nordland Hospital, Bodø, Norway
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Cleary DB, Maybery MT, Green C, Whitehouse AJO. The first six months of life: A systematic review of early markers associated with later autism. Neurosci Biobehav Rev 2023; 152:105304. [PMID: 37406749 DOI: 10.1016/j.neubiorev.2023.105304] [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: 12/01/2022] [Revised: 06/02/2023] [Accepted: 07/02/2023] [Indexed: 07/07/2023]
Abstract
There is now good evidence that behavioural signs of autism spectrum conditions (autism) emerge over the first two years of life. Identifying clear developmental differences early in life may facilitate earlier identification and intervention that can promote longer-term quality of life. Here we present a systematic review of studies investigating behavioural markers of later autism diagnosis or symptomology taken at 0-6 months. The following databases were searched for articles published between 01/01/2000 and 15/03/2022: Embase, Medline, Scopus, PubMed, PsycINFO, CINAHL, Web of Science and Proquest. Twenty-five studies met inclusion criteria: assessment of behaviour at 0-6 months and later assessment of autism symptomology or diagnosis. Studies examined behaviours of attention, early social and communication behaviours, and motor behaviours, as well as composite measures. Findings indicated some evidence of measures of general attention, attention to social stimuli, and motor behaviours associated with later autism diagnosis or symptomology. Findings were inconsistent regarding social and communication behaviours, with a lack of repeated or validated measures limiting drawing firm conclusions. We discuss implications of the findings and suggest recommendations for future research.
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Affiliation(s)
- Dominique B Cleary
- Telethon Kids Institute, The University of Western Australia, Australia; School of Psychological Science, The University of Western Australia, Australia.
| | - Murray T Maybery
- School of Psychological Science, The University of Western Australia, Australia
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Volnova A, Kurzina N, Belskaya A, Gromova A, Pelevin A, Ptukha M, Fesenko Z, Ignashchenkova A, Gainetdinov RR. Noradrenergic Modulation of Learned and Innate Behaviors in Dopamine Transporter Knockout Rats by Guanfacine. Biomedicines 2023; 11:biomedicines11010222. [PMID: 36672730 PMCID: PMC9856099 DOI: 10.3390/biomedicines11010222] [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: 11/30/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
Investigation of the precise mechanisms of attention deficit and hyperactivity disorder (ADHD) and other dopamine-associated conditions is crucial for the development of new treatment approaches. In this study, we assessed the effects of repeated and acute administration of α2A-adrenoceptor agonist guanfacine on innate and learned forms of behavior of dopamine transporter knockout (DAT-KO) rats to evaluate the possible noradrenergic modulation of behavioral deficits. DAT-KO and wild type rats were trained in the Hebb-Williams maze to perform spatial working memory tasks. Innate behavior was evaluated via pre pulse inhibition (PPI). Brain activity of the prefrontal cortex and the striatum was assessed. Repeated administration of GF improved the spatial working memory task fulfillment and PPI in DAT-KO rats, and led to specific changes in the power spectra and coherence of brain activity. Our data indicate that both repeated and acute treatment with a non-stimulant noradrenergic drug lead to improvements in the behavior of DAT-KO rats. This study further supports the role of the intricate balance of norepinephrine and dopamine in the regulation of attention. The observed compensatory effect of guanfacine on the behavior of hyperdopaminergic rats may be used in the development of combined treatments to support the dopamine-norepinephrine balance.
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Affiliation(s)
- Anna Volnova
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia
- Biological Faculty, Saint Petersburg State University, Saint Petersburg 199034, Russia
- Correspondence:
| | - Natalia Kurzina
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia
| | - Anastasia Belskaya
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia
| | - Arina Gromova
- Biological Faculty, Saint Petersburg State University, Saint Petersburg 199034, Russia
| | - Arseniy Pelevin
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia
- Biological Faculty, Saint Petersburg State University, Saint Petersburg 199034, Russia
| | - Maria Ptukha
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia
| | - Zoia Fesenko
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia
| | | | - Raul R. Gainetdinov
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg 199034, Russia
- Saint Petersburg University Hospital, Saint Petersburg 199034, Russia
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Pimenta RA, Fuchs C, Fears NE, Mariano M, Tamplain P. Distinct mental health profiles in children with Developmental Coordination Disorder: A latent class analysis and associations. RESEARCH IN DEVELOPMENTAL DISABILITIES 2023; 132:104377. [PMID: 36423431 DOI: 10.1016/j.ridd.2022.104377] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 08/24/2022] [Accepted: 11/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Children with Developmental Coordination Disorder (DCD) show indications for mental health problems. However, these problems are poorly understood. AIMS To identify patterns (profiles) of mental health in this population and to analyze the associations between profiles and child characteristics. METHODS AND PROCEDURES Parents of 119 children with DCD completed the Strengths and Difficulties Questionnaire. OUTCOMES AND RESULTS Results indicated that a four latent class was the best model. Profile 1 was defined as "no" mental health problems (n = 28; 24 %), Profile 2 was defined as "hyperactivity" problems (n = 53; 43.3 %), for clinical indications for hyperactivity, Profile 3 was defined as "internalizing" problems (n = 8; 7.3 %), for clinical indications for emotional symptoms and peer problems, and Profile 4 was defined as "internalizing and externalizing problems" (n = 30; 25.4 %), for clinical indications for problems in both areas. In addition, having a co-occurring disorder, accommodation plans, and using medications were associated with the profiles. CONCLUSIONS AND IMPLICATIONS There are distinct and unique profiles that children with DCD exhibit. Clinicians can use these profiles to better understand the presentation of mental health symptoms in this population and provide adequate services or support if mental health difficulties are present.
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Valori I, Della Longa L, Angeli A, Marfia G, Farroni T. Reduced motor planning underlying inhibition of prepotent responses in children with ADHD. Sci Rep 2022; 12:18202. [PMID: 36307452 PMCID: PMC9616405 DOI: 10.1038/s41598-022-22318-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/12/2022] [Indexed: 12/31/2022] Open
Abstract
To flexibly regulate their behavior, children's ability to inhibit prepotent responses arises from cognitive and motor mechanisms that have an intertwined developmental trajectory. Subtle differences in planning and control can contribute to impulsive behaviors, which are common in Attention Deficit and Hyperactivity Disorder (ADHD) and difficult to be assessed and trained. We adapted a Go/No-Go task and employed a portable, low-cost kinematic sensor to explore the different strategies used by children with ADHD or typical development to provide a prepotent response (dominant condition) or inhibit the prepotent and select an alternative one (non-dominant condition). Although no group difference emerged on accuracy levels, the kinematic analysis of correct responses revealed that, unlike neurotypical children, those with ADHD did not show increased motor planning in non-dominant compared to dominant trials. Future studies should investigate whether motor control could help children with ADHD compensate for planning difficulties. This strategy might make inhibition harder in naturalistic situations that involve complex actions. Combining cognitive and kinematic measures is a potential innovative method for assessment and intervention of subtle differences in executive processes such as inhibition, going deeper than is possible based on accuracy outcomes alone.
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Affiliation(s)
- Irene Valori
- Department of Developmental Psychology and Socialisation, University of Padova, 35131, Padova, Italy
| | - Letizia Della Longa
- Department of Developmental Psychology and Socialisation, University of Padova, 35131, Padova, Italy
| | - Alessia Angeli
- Department of Computer Science and Engineering, University of Bologna, 40126, Bologna, Italy
| | - Gustavo Marfia
- Department of the Arts, University of Bologna, 47921, Rimini, Italy
| | - Teresa Farroni
- Department of Developmental Psychology and Socialisation, University of Padova, 35131, Padova, Italy.
- Padua Neuroscience Center (PNC), University of Padova, Padova, Italy.
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Tobarra‐Sanchez E, Riglin L, Agha SS, Stergiakouli E, Thapar A, Langley K. Preschool development, temperament and genetic liability as early markers of childhood ADHD: A cohort study. JCPP ADVANCES 2022; 2:e12099. [PMID: 36478889 PMCID: PMC9716640 DOI: 10.1002/jcv2.12099] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 08/01/2022] [Indexed: 11/08/2022] Open
Abstract
Background ADHD is associated with multiple adverse outcomes and early identification is important. The present study sets out to identify early markers and developmental characteristics during the first 30 months of life that are associated with ADHD 6 years later. Methods 9201 participants from the prospective Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were included. Outcome measures were parent-rated ADHD symptom scores (Strengths and Difficulties Questionnaire, SDQ) and ADHD diagnosis (Development and Wellbeing Assessment, DAWBA) at age 7. Seventeen putative markers were identified from previous literature and included: pre- and peri-natal risk factors, genetic liability (ADHD polygenic risk scores, PRS), early development, temperament scores and regulatory problems. Associations were examined using regression analysis. Results Univariable regression analysis showed that multiple early life factors were associated with future ADHD outcomes, even after controlling for sex and socio-economic status. In a multivariable linear regression model; temperament activity scores (B = 0.107, CI = 0.083-0.132), vocabulary delay (B = 0.605, CI = 0.211-0.988), fine motor delay (B = 0.693, CI = 0.360-1.025) and ADHD PRS (B = 0.184, CI = 0.074-0.294) were associated with future symptoms (R 2 = 10.7%). In a multivariable logistic regression model, ADHD PRS (OR = 1.39, CI = 1.10-1.77) and temperament activity scores (OR = 1.09, CI = 1.04-1.16) showed association with ADHD diagnosis. Conclusion As well as male sex and lower socio-economic status, high temperament activity levels and motor and speech delays in the first 30 months of life, are associated with childhood ADHD. Intriguingly, given that genetic risk scores are known to explain little of the variance of ADHD outcomes, we found that ADHD PRS added useful predictive information. Future research needs to test whether predictive models incorporating aspects of early development and genetic risk scores are useful for predicting ADHD in clinical practice.
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Affiliation(s)
- Esther Tobarra‐Sanchez
- Child and Adolescent Psychiatry SectionDivision of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and GenomicsSchool of MedicineCardiff UniversityCardiffUK,Cwm Taf Morgannwg University Health BoardCardiffUK
| | - Lucy Riglin
- Child and Adolescent Psychiatry SectionDivision of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and GenomicsSchool of MedicineCardiff UniversityCardiffUK
| | - Sharifah S. Agha
- Child and Adolescent Psychiatry SectionDivision of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and GenomicsSchool of MedicineCardiff UniversityCardiffUK,Cwm Taf Morgannwg University Health BoardCardiffUK
| | - Evie Stergiakouli
- MRC Integrative Epidemiology UnitUniversity of BristolBristolUK,Population Health SciencesBristol Medical SchoolUniversity of BristolBristolUK
| | - Anita Thapar
- Child and Adolescent Psychiatry SectionDivision of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and GenomicsSchool of MedicineCardiff UniversityCardiffUK
| | - Kate Langley
- Child and Adolescent Psychiatry SectionDivision of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and GenomicsSchool of MedicineCardiff UniversityCardiffUK,School of PsychologyCardiff UniversityCardiffUK
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12
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He L, He F, Li Y, Xiong X, Zhang J. A Robust Movement Quantification Algorithm of Hyperactivity Detection for ADHD Children Based on 3D Depth Images. IEEE TRANSACTIONS ON IMAGE PROCESSING : A PUBLICATION OF THE IEEE SIGNAL PROCESSING SOCIETY 2022; 31:5025-5037. [PMID: 35830406 DOI: 10.1109/tip.2022.3185793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Attention deficit hyperactivity disorder (ADHD) is one of the most common childhood mental disorders. Hyperactivity is a typical symptom of ADHD in children. Clinicians diagnose this symptom by evaluating the children's activities based on subjective rating scales and clinical experience. In this work, an objective system is proposed to quantify the movements of children with ADHD automatically. This system presents a new movement detection and quantification method based on depth images. A novel salient object extraction method is proposed to segment body regions. In movement detection, we explore a new local search algorithm to detect any potential motions of children based on three newly designed evaluation metrics. In the movement quantification, two parameters are investigated to quantify the participation degree and the displacements of each body part in the movements. This system is tested by a depth dataset of children with ADHD. The movement detection results of this dataset mainly range from 91.0% to 95.0%. The movement quantification results of children are consistent with the clinical observations. The public MSR Action 3D dataset is tested to validate the performance of this system.
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13
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Pant SW, Skovgaard AM, Ammitzbøll J, Holstein BE, Pedersen TP. Motor development problems in infancy predict mental disorders in childhood: a longitudinal cohort study. Eur J Pediatr 2022; 181:2655-2661. [PMID: 35384508 DOI: 10.1007/s00431-022-04462-3] [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: 11/26/2021] [Revised: 03/26/2022] [Accepted: 03/31/2022] [Indexed: 11/03/2022]
Abstract
UNLABELLED The purpose of this study is to examine whether motor development problems in infancy predicted mental disorders later in childhood, taking a wide array of potential confounding variables into consideration. This longitudinal study included an unselected study population of 33238 newborn children from the Copenhagen area, Denmark. Data on the predictor variable, motor development problems at 8-10 months of age, were obtained from the community health nurses' systematic evaluation of the child's motor development during a home visit and stored in the Child Health Database. Data on outcome, diagnosed mental disorders before the age of 8 years, were obtained from the Danish National Patient Register. Potential confounding variables were obtained from the Child Health Database, the National Birth Register and the Civil Registration System. The prevalence of motor development problems at 8-10 months of age was 19.3%; the incidence of any diagnosed mental disorder from 11 months of age to the 8th birthday was 4.0%. Motor development problems were associated with an increased risk of being diagnosed with a mental disorder before the 8th birthday, adjusted odds ratio (AOR) 1.47 (1.29-1.67). Motor development problems were associated with later neurodevelopmental disorders, AOR 1.77 (1.52-2.06), in particular autism spectrum disorders, AOR 1.63 (1.31-2.03), hyperactivity/attention deficit disorders, AOR 1.29 (1.03-1.61) and disorders of intellectual disability, AOR 3.28 (2.39-4.49). CONCLUSION Motor development problems as early at 8-10 months of age were predictive of neurodevelopmental disorders before the 8th birthday. The findings call for clinical attention and more research on preventive potentials in the community child health care. WHAT IS KNOWN • Children with ASD, ADHD and ID have high prevalence of early motor development problems. WHAT IS NEW • Motor development problems in infancy predicted neurodevelopmental disorders before the 8th birthday. • This observation could improve early identification and prevention of mental health problems in childhood.
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Affiliation(s)
- Sofie Weber Pant
- University of Southern Denmark, National Institute of Public Health, Studiestræde 6, DK-1455, Copenhagen, Denmark
| | - Anne Mette Skovgaard
- University of Southern Denmark, National Institute of Public Health, Studiestræde 6, DK-1455, Copenhagen, Denmark
| | - Janni Ammitzbøll
- University of Southern Denmark, National Institute of Public Health, Studiestræde 6, DK-1455, Copenhagen, Denmark
| | - Bjørn E Holstein
- University of Southern Denmark, National Institute of Public Health, Studiestræde 6, DK-1455, Copenhagen, Denmark.
| | - Trine Pagh Pedersen
- University of Southern Denmark, National Institute of Public Health, Studiestræde 6, DK-1455, Copenhagen, Denmark
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14
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Meachon EJ, Beitz C, Zemp M, Wilmut K, Alpers GW. The adult developmental coordination disorders/dyspraxia checklist - German: adapted factor structure for the differentiation of DCD and ADHD. RESEARCH IN DEVELOPMENTAL DISABILITIES 2022; 126:104254. [PMID: 35550942 DOI: 10.1016/j.ridd.2022.104254] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 04/13/2022] [Accepted: 04/24/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The Adult Dyspraxia/DCD Checklist (ADC) is the only existing self-report questionnaire to screen adults for potential Developmental Coordination Disorder (DCD). It was developed in English and Hebrew, however, its factor structure has not yet been assessed. AIMS The goals of the current study were to (1) develop and refine a German translation, (2) explore the emerging factors in a new and restructured ADC in German and apply this structure to an English ADC, and (3) explore its potential for distinguishing DCD versus ADHD. METHOD In a series of three studies, we assessed comprehensibility of the translation and revisions to the questionnaire. We further examined subscale structure in a sample of N = 148 individuals with DCD or ADHD and retested it in an English-speaking sample (N = 134). RESULTS Overall, we found decent reliability and construct validity for the German ADC. Three components emerged with themes of fine motor coordination, gross motor coordination, and executive functions which had strong psychometric properties in German and English. CONCLUSIONS The studies collectively highlight the German translation is effective and has strong potential to differentiate DCD and ADHD. Most notably, there are unique symptom profiles in motor and executive functioning difficulties in adults with DCD or ADHD. WHAT THIS PAPER ADDS?: The translation and preliminary validation of the German ADC in this study has the potential to screen for probable DCD in German-speaking adults for the first time. In addition, the new subscale structure can be generalized to the English version as well and allows for the potential assessment of several key symptomatic patterns in the realms of gross motor, fine motor, and executive functioning skills that differ between adults with DCD and ADHD. These differences were fairly consistent between English- and German-speaking samples, indicating potential for more widespread assessment and differentiation of DCD and ADHD.
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Affiliation(s)
- Emily J Meachon
- University of Mannheim, School of Social Sciences, Department of Psychology, Germany.
| | - Clara Beitz
- University of Mannheim, School of Social Sciences, Department of Psychology, Germany
| | - Martina Zemp
- University of Mannheim, School of Social Sciences, Department of Psychology, Germany; University of Vienna, Department of Clinical and Health Psychology, Austria
| | - Kate Wilmut
- Oxford Brookes University, Department of Psychology, Health and Professional Development, UK
| | - Georg W Alpers
- University of Mannheim, School of Social Sciences, Department of Psychology, Germany.
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15
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Han L, Wei X, Liu C, Volpe G, Zhuang Z, Zou X, Wang Z, Pan T, Yuan Y, Zhang X, Fan P, Guo P, Lai Y, Lei Y, Liu X, Yu F, Shangguan S, Lai G, Deng Q, Liu Y, Wu L, Shi Q, Yu H, Huang Y, Cheng M, Xu J, Liu Y, Wang M, Wang C, Zhang Y, Xie D, Yang Y, Yu Y, Zheng H, Wei Y, Huang F, Lei J, Huang W, Zhu Z, Lu H, Wang B, Wei X, Chen F, Yang T, Du W, Chen J, Xu S, An J, Ward C, Wang Z, Pei Z, Wong CW, Liu X, Zhang H, Liu M, Qin B, Schambach A, Isern J, Feng L, Liu Y, Guo X, Liu Z, Sun Q, Maxwell PH, Barker N, Muñoz-Cánoves P, Gu Y, Mulder J, Uhlen M, Tan T, Liu S, Yang H, Wang J, Hou Y, Xu X, Esteban MA, Liu L. Cell transcriptomic atlas of the non-human primate Macaca fascicularis. Nature 2022; 604:723-731. [PMID: 35418686 DOI: 10.1038/s41586-022-04587-3] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 02/23/2022] [Indexed: 12/22/2022]
Abstract
Studying tissue composition and function in non-human primates (NHPs) is crucial to understand the nature of our own species. Here we present a large-scale cell transcriptomic atlas that encompasses over 1 million cells from 45 tissues of the adult NHP Macaca fascicularis. This dataset provides a vast annotated resource to study a species phylogenetically close to humans. To demonstrate the utility of the atlas, we have reconstructed the cell-cell interaction networks that drive Wnt signalling across the body, mapped the distribution of receptors and co-receptors for viruses causing human infectious diseases, and intersected our data with human genetic disease orthologues to establish potential clinical associations. Our M. fascicularis cell atlas constitutes an essential reference for future studies in humans and NHPs.
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Affiliation(s)
- Lei Han
- BGI-Shenzhen, Shenzhen, China.,BGI-Beijing, Beijing, China.,Shenzhen Bay Laboratory, Shenzhen, China
| | - Xiaoyu Wei
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Chuanyu Liu
- BGI-Shenzhen, Shenzhen, China.,BGI-Beijing, Beijing, China.,Shenzhen Bay Laboratory, Shenzhen, China
| | - Giacomo Volpe
- Hematology and Cell Therapy Unit, IRCCS-Istituto Tumori 'Giovanni Paolo II', Bari, Italy
| | - Zhenkun Zhuang
- BGI-Shenzhen, Shenzhen, China.,School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Xuanxuan Zou
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Zhifeng Wang
- BGI-Shenzhen, Shenzhen, China.,BGI-Beijing, Beijing, China
| | - Taotao Pan
- BGI-Shenzhen, Shenzhen, China.,BGI-Beijing, Beijing, China
| | - Yue Yuan
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiao Zhang
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China
| | - Peng Fan
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China
| | - Pengcheng Guo
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China
| | - Yiwei Lai
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ying Lei
- BGI-Shenzhen, Shenzhen, China.,BGI-Beijing, Beijing, China.,Shenzhen Bay Laboratory, Shenzhen, China
| | - Xingyuan Liu
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China
| | - Feng Yu
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shuncheng Shangguan
- Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health and Guangzhou Medical University, Guangzhou, China
| | - Guangyao Lai
- Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health and Guangzhou Medical University, Guangzhou, China
| | - Qiuting Deng
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ya Liu
- BGI-Shenzhen, Shenzhen, China.,BGI-Beijing, Beijing, China
| | - Liang Wu
- BGI-Shenzhen, Shenzhen, China.,BGI-Beijing, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Quan Shi
- BGI-Shenzhen, Shenzhen, China.,Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Hao Yu
- BGI-Shenzhen, Shenzhen, China
| | - Yunting Huang
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Mengnan Cheng
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jiangshan Xu
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yang Liu
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | | | - Chunqing Wang
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yuanhang Zhang
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Duo Xie
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yunzhi Yang
- BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Yeya Yu
- BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Huiwen Zheng
- BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Yanrong Wei
- BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Fubaoqian Huang
- BGI-Shenzhen, Shenzhen, China.,School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Junjie Lei
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Waidong Huang
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Zhiyong Zhu
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Haorong Lu
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Bo Wang
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Xiaofeng Wei
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Fengzhen Chen
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Tao Yang
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Wensi Du
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Jing Chen
- BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Shibo Xu
- Institute for Stem Cells and Neural Regeneration, School of Pharmacy, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
| | - Juan An
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Science and Technology of China, Hefei, China
| | - Carl Ward
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zongren Wang
- Department of Urology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhong Pei
- Department of Neurology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | | | - Xiaolei Liu
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China
| | - Huafeng Zhang
- Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China
| | - Mingyuan Liu
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China
| | - Baoming Qin
- Laboratory of Metabolism and Cell Fate, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Axel Schambach
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.,Division of Hematology/Oncology, Harvard Medical School, MA, Boston, USA
| | - Joan Isern
- Spanish National Center for Cardiovascular Research (CNIC), Madrid, Spain
| | - Liqiang Feng
- State Key Laboratory of Respiratory Diseases, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yan Liu
- Institute for Stem Cells and Neural Regeneration, School of Pharmacy, State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
| | - Xiangyu Guo
- Jinan University, Guangzhou, China.,Hubei Topgene Biotechnology Co., Ltd, Wuhan, China
| | - Zhen Liu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Qiang Sun
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Patrick H Maxwell
- Cambridge Institute for Medical Research, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Nick Barker
- A*STAR Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Pura Muñoz-Cánoves
- Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), ICREA and CIBERNED, Barcelona, Spain
| | - Ying Gu
- BGI-Shenzhen, Shenzhen, China
| | - Jan Mulder
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.,Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Mathias Uhlen
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.,Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Tao Tan
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| | - Shiping Liu
- BGI-Shenzhen, Shenzhen, China.,BGI-Beijing, Beijing, China.,Shenzhen Bay Laboratory, Shenzhen, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, China.,James D. Watson Institute of Genome Sciences, Hangzhou, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, China.,James D. Watson Institute of Genome Sciences, Hangzhou, China
| | - Yong Hou
- BGI-Shenzhen, Shenzhen, China. .,BGI-Beijing, Beijing, China. .,Shenzhen Bay Laboratory, Shenzhen, China. .,BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, China. .,BGI-Beijing, Beijing, China. .,BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China. .,Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen, China.
| | - Miguel A Esteban
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China. .,Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. .,Institute of Stem Cells and Regeneration, Chinese Academy of Sciences, Beijing, China.
| | - Longqi Liu
- BGI-Shenzhen, Shenzhen, China. .,BGI-Beijing, Beijing, China. .,Shenzhen Bay Laboratory, Shenzhen, China. .,BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
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16
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Parent-reported Early Atypical Development and Age of Diagnosis for Children with Co-occurring Autism and ADHD. J Autism Dev Disord 2022; 53:2173-2184. [DOI: 10.1007/s10803-022-05488-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/13/2022] [Indexed: 10/18/2022]
Abstract
AbstractAutism and attention-deficit/hyperactivity disorder (ADHD) often co-occur. This survey of 288 New Zealand parents of children diagnosed with autism (n = 111), ADHD (n = 93), or both conditions (n = 84), examined the relations between age of diagnosis and early atypical development, the age specialist consultation was needed and types of specialists seen. Co-occurring autism and ADHD was associated with an earlier ADHD diagnosis and a later autism diagnosis. Parents of children with both diagnoses reported less atypical development in language and social behaviours compared to parents of children of autism, and this co-occurring group also experienced longer wait times to diagnosis, and saw more types of specialists prior to a diagnosis, than those with autism.
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17
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Openneer TJ, Huyser C, Martino D, Schrag A, Hoekstra PJ, Dietrich A. Clinical precursors of tics: an EMTICS study. J Child Psychol Psychiatry 2022; 63:305-314. [PMID: 34170010 PMCID: PMC9292724 DOI: 10.1111/jcpp.13472] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/18/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Children with Tourette syndrome (TS) often have comorbid disorders, particularly attention-deficit/hyperactivity disorder (ADHD) and obsessive-compulsive disorder (OCD). While subtle premorbid symptoms have been described in various psychiatric disorders, the presence of clinical precursors that may exist before the onset of tics is unknown. This longitudinal study aimed to find clinical precursors of tics by assessing a range of clinical characteristics prior to tic onset in comparison with children without onset of tics. METHODS A sample of 187 3- to 10-year-old first-degree unaffected relatives of children with TS were followed up to 7 years in the European Multicentre Tics in Children Study (EMTICS). We investigated whether clinical characteristics assessed at baseline predicted tic onset, comparing 126 children without tic onset to 61 children who developed tics. We used the least absolute shrinkage and selection operator (LASSO) method, a penalised logistic regression approach. We also explored sex differences and repeated our analyses in an age- and sex-matched subsample. RESULTS Children with tic onset were more frequently male (β = -0.36), had higher baseline severity of conduct problems (β = 0.23), autism spectrum disorder symptoms (ASD; β = 0.08), compulsions (β = 0.02) and emotional problems (β = 0.03) compared to children without tic onset. Conduct and ASD problems were male-specific predictors, whereas severity of compulsions and oppositional (β = 0.39) and emotional problems were female-specific predictors. CONCLUSION This study supports the presence of clinical precursors prior to tic onset and highlights the need of sex-specific monitoring of children at risk of developing tics. This may aid in the earlier detection of tics, particularly in females. We moreover found that tics most often persisted one year after tic onset, in contrast to the common belief that tics are mostly transient.
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Affiliation(s)
- Thaïra J.C. Openneer
- Department of Child and Adolescent PsychiatryUniversity Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Chaim Huyser
- LevvelAmsterdamThe Netherlands,Academic Medical CenterDepartment of Child and Adolescent PsychiatryAmsterdam UMCAmsterdamThe Netherlands
| | - Davide Martino
- Department of Clinical NeurosciencesUniversity of CalgaryCalgaryCanada
| | - Anette Schrag
- Department of Clinical NeurosciencesUCL Institute of NeurologyUniversity College LondonLondonUK
| | | | - Pieter J. Hoekstra
- Department of Child and Adolescent PsychiatryUniversity Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Andrea Dietrich
- Department of Child and Adolescent PsychiatryUniversity Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
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18
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Shephard E, Zuccolo PF, Idrees I, Godoy PBG, Salomone E, Ferrante C, Sorgato P, Catão LFCC, Goodwin A, Bolton PF, Tye C, Groom MJ, Polanczyk GV. Systematic Review and Meta-analysis: The Science of Early-Life Precursors and Interventions for Attention-Deficit/Hyperactivity Disorder. J Am Acad Child Adolesc Psychiatry 2022; 61:187-226. [PMID: 33864938 DOI: 10.1016/j.jaac.2021.03.016] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 03/01/2021] [Accepted: 03/19/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To evaluate which early neurocognitive and behavioral precursors are associated with the development of attention-deficit/hyperactivity disorder (ADHD) and whether these are currently targeted in early interventions. METHOD We conducted 2 systematic reviews and meta-analyses of empirical studies to examine the following: (1) early-life (0-5 years) neurocognitive and behavioral precursors associated with familial likelihood for ADHD, an early ADHD diagnosis/elevated ADHD symptoms, and/or the presence of later-childhood ADHD; and (2) interventions delivered to children aged 0 to 5 years targeting the identified precursors or measuring these as outcomes. Standardized mean differences (Hedges' g) and pre-post-treatment change scores (SMD) were computed. RESULTS A total of 149 studies (165,095 participants) investigating 8 neurocognitive and behavioral domains met inclusion criteria for part 1. Multi-level random-effects meta-analyses on 136 studies revealed significant associations between ADHD and poorer cognitive (g = -0.46 [95% CIs: -0.59, -0.33]), motor (g = -0.35 [CIs: -0.48, -0.21]) and language (g = -0.43 [CIs: -0.66, -0.19]) development, social (g = 0.23 [CIs: 0.03, 0.43]) and emotional (g = 0.46 [CIs: 0.33, 0.58]) difficulties, early regulatory (g = 0.30 [CIs: 0.18, 0.43]) and sleep (g = 0.29 [CIs: 0.14, 0.44]) problems, sensory atypicalities (g = 0.52 [CIs: 0.16, 0.88]), elevated activity levels (g = 0.54 [CIs: 0.37, 0.72]), and executive function difficulties (g = 0.34 [CIs: 0.05, 0.64] to -0.87 [CIs: -1.35, -0.40]). A total of 32 trials (28 randomized, 4 nonrandomized, 3,848 participants) testing early interventions that targeted the identified precursors met inclusion criteria for part 2. Multi-level random-effects meta-analyses on 22 studies revealed significant intervention-related improvements in ADHD symptoms (SMD = 0.43 [CIs: 0.22, 0.64]) and working memory (SMD = 0.37 [CIs: 0.06, 0.69]). CONCLUSION Children aged 0 to 5 years with current or later-emerging ADHD are likely to experience difficulties in multiple neurocognitive/behavioral functions. Early interventions show some effectiveness in reducing ADHD symptoms, but their effects on neurocognitive/behavioral difficulties require further study.
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Affiliation(s)
- Elizabeth Shephard
- Drs. Shephard, Zuccolo, Prof. Polanczyk, Ms. Godoy, and Mr. Catão are with Faculdade de Medicina FMUSP, Universidade de São Paulo, Brazil; Drs. Shephard, Goodwin, Tye, and Prof. Bolton are with Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, United Kingdom.
| | - Pedro F Zuccolo
- Drs. Shephard, Zuccolo, Prof. Polanczyk, Ms. Godoy, and Mr. Catão are with Faculdade de Medicina FMUSP, Universidade de São Paulo, Brazil
| | - Iman Idrees
- Ms. Idrees and Dr. Groom are with Institute of Mental Health, University of Nottingham, United Kingdom
| | - Priscilla B G Godoy
- Drs. Shephard, Zuccolo, Prof. Polanczyk, Ms. Godoy, and Mr. Catão are with Faculdade de Medicina FMUSP, Universidade de São Paulo, Brazil
| | - Erica Salomone
- Dr. Salomone and Mss. Ferrante and Sorgato are with the University of Milan-Bicocca, Italy
| | - Camilla Ferrante
- Dr. Salomone and Mss. Ferrante and Sorgato are with the University of Milan-Bicocca, Italy
| | - Paola Sorgato
- Dr. Salomone and Mss. Ferrante and Sorgato are with the University of Milan-Bicocca, Italy
| | - Luís F C C Catão
- Drs. Shephard, Zuccolo, Prof. Polanczyk, Ms. Godoy, and Mr. Catão are with Faculdade de Medicina FMUSP, Universidade de São Paulo, Brazil
| | - Amy Goodwin
- Drs. Shephard, Goodwin, Tye, and Prof. Bolton are with Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, United Kingdom
| | - Patrick F Bolton
- Drs. Shephard, Goodwin, Tye, and Prof. Bolton are with Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, United Kingdom; Prof. Bolton is also with The Maudsley NIHR Biomedical Research Centre in Mental Health, King's College London and South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Charlotte Tye
- Drs. Shephard, Goodwin, Tye, and Prof. Bolton are with Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, United Kingdom
| | - Madeleine J Groom
- Ms. Idrees and Dr. Groom are with Institute of Mental Health, University of Nottingham, United Kingdom
| | - Guilherme V Polanczyk
- Drs. Shephard, Zuccolo, Prof. Polanczyk, Ms. Godoy, and Mr. Catão are with Faculdade de Medicina FMUSP, Universidade de São Paulo, Brazil
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19
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Leo M, Bernava GM, Carcagnì P, Distante C. Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions. SENSORS (BASEL, SWITZERLAND) 2022; 22:866. [PMID: 35161612 PMCID: PMC8839211 DOI: 10.3390/s22030866] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 01/18/2022] [Accepted: 01/20/2022] [Indexed: 06/14/2023]
Abstract
Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or central nervous system. In the light of clinical findings on early diagnosis of NDD and prompted by recent advances in hardware and software technologies, several researchers tried to introduce automatic systems to analyse the baby's movement, even in cribs. Traditional technologies for automatic baby motion analysis leverage contact sensors. Alternatively, remotely acquired video data (e.g., RGB or depth) can be used, with or without active/passive markers positioned on the body. Markerless approaches are easier to set up and maintain (without any human intervention) and they work well on non-collaborative users, making them the most suitable technologies for clinical applications involving children. On the other hand, they require complex computational strategies for extracting knowledge from data, and then, they strongly depend on advances in computer vision and machine learning, which are among the most expanding areas of research. As a consequence, also markerless video-based analysis of movements in children for NDD has been rapidly expanding but, to the best of our knowledge, there is not yet a survey paper providing a broad overview of how recent scientific developments impacted it. This paper tries to fill this gap and it lists specifically designed data acquisition tools and publicly available datasets as well. Besides, it gives a glimpse of the most promising techniques in computer vision, machine learning and pattern recognition which could be profitably exploited for children motion analysis in videos.
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Affiliation(s)
- Marco Leo
- Institute of Applied Sciences and Intelligent Systems (ISASI), National Research Council of Italy, Via Monteroni Snc, 73100 Lecce, Italy; (P.C.); (C.D.)
| | - Giuseppe Massimo Bernava
- Institute for Chemical-Physical Processes (IPCF), National Research Council of Italy, Viale Ferdinando Stagno d’Alcontres 37, 98158 Messina, Italy;
| | - Pierluigi Carcagnì
- Institute of Applied Sciences and Intelligent Systems (ISASI), National Research Council of Italy, Via Monteroni Snc, 73100 Lecce, Italy; (P.C.); (C.D.)
| | - Cosimo Distante
- Institute of Applied Sciences and Intelligent Systems (ISASI), National Research Council of Italy, Via Monteroni Snc, 73100 Lecce, Italy; (P.C.); (C.D.)
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20
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Harmony T, Gutiérrez-Hernández CC, Carlier M, Hinojosa-Rodríguez M, Carrillo C. Early detection and treatment of attention deficits in preterm and at term infants with risk factors for brain damage. Int J Psychophysiol 2021; 172:17-23. [PMID: 34921894 DOI: 10.1016/j.ijpsycho.2021.12.002] [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: 05/25/2021] [Revised: 10/25/2021] [Accepted: 12/01/2021] [Indexed: 11/16/2022]
Abstract
Cognitive deficits in infants born preterm and infants at term with risk factors for brain damage are a common outcome. Attention deficits in preterm infants are related to the development of attention-deficit/hyperactivity disorder (ADHD), and therefore, there is a need for earlier evaluations and treatment procedures that are implemented before the presence of signs of ADHD. METHODS We studied preterm (74%) and term infants with the Infant Scale of Selective Attention (ISSA, Escala de Evaluación de la Atención Selectiva (EEAS), in Spanish). This scale evaluates both visual- and auditory-orienting attention. Two groups participated, one with attention deficits (n = 26) and another with regular performance (n = 36). An early attention-stimulation program (EASP) was implemented in the infant group with attention deficits from three to eight months of age. All infants underwent magnetic resonance imaging (MRI), and visual and auditory evoked responses were assessed. RESULTS All infants had prenatal and perinatal risk factors for brain damage and abnormal MRI findings, and the majority had abnormalities compatible with white matter injury. However, there were four infants with porencephalic cysts; 3 of them were in the treated group. At the beginning of the treatment, ISSA values showed differences between groups. These differences persisted for five months in the visual test and up to the sixth month in the auditory evaluation. Afterward, there were no significant differences, indicating that infants with attention deficits had satisfactorily responded to the treatment. CONCLUSIONS The ISSA is helpful for the early evaluation of visual and auditory attention. Infants with attention deficits react well enough after six months of EASP.
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Affiliation(s)
- Thalía Harmony
- Unidad de Investigación en Neurodesarrollo, Departamento de Neurobiología Conductual y Cognitiva del Instituto de Neurobiología de la Universidad Nacional Autónoma de México Campus Juriquilla, Mexico.
| | - Claudia Calipso Gutiérrez-Hernández
- Unidad de Investigación en Neurodesarrollo, Departamento de Neurobiología Conductual y Cognitiva del Instituto de Neurobiología de la Universidad Nacional Autónoma de México Campus Juriquilla, Mexico
| | - Mónica Carlier
- Unidad de Investigación en Neurodesarrollo, Departamento de Neurobiología Conductual y Cognitiva del Instituto de Neurobiología de la Universidad Nacional Autónoma de México Campus Juriquilla, Mexico
| | - Manuel Hinojosa-Rodríguez
- Unidad de Investigación en Neurodesarrollo, Departamento de Neurobiología Conductual y Cognitiva del Instituto de Neurobiología de la Universidad Nacional Autónoma de México Campus Juriquilla, Mexico
| | - Cristina Carrillo
- Unidad de Investigación en Neurodesarrollo, Departamento de Neurobiología Conductual y Cognitiva del Instituto de Neurobiología de la Universidad Nacional Autónoma de México Campus Juriquilla, Mexico
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21
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Pitzer C, Kurpiers B, Eltokhi A. Gait performance of adolescent mice assessed by the CatWalk XT depends on age, strain and sex and correlates with speed and body weight. Sci Rep 2021; 11:21372. [PMID: 34725364 PMCID: PMC8560926 DOI: 10.1038/s41598-021-00625-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 10/06/2021] [Indexed: 11/17/2022] Open
Abstract
The automatization of behavioral tests assessing motor activity in rodent models is important for providing robust and reproducible results and evaluating new therapeutics. The CatWalk system is an observer-independent, automated and computerized technique for the assessment of gait performance in rodents. This method has previously been used in adult rodent models of CNS-based movement disorders such as Parkinson's and Huntington's diseases. As motor and gait abnormalities in neuropsychiatric disorders are observed during infancy and adolescence, it became important to validate the CatWalk XT in the gait analysis of adolescent mice and unravel factors that may cause variations in gait performance. Three adolescent wild-type inbred mouse strains, C57BL/6N, DBA/2 and FVB/N, were tested using the CatWalk XT (Version 10.6) for suitable detection settings to characterize several gait parameters at P32 and P42. The same detection settings being suitable for C57BL/6N and DBA/2 mice allowed a direct comparison between the two strains. On the other hand, due to their increased body weight and size, FVB/N mice required different detection settings. The CatWalk XT reliably measured the temporal, spatial, and interlimb coordination parameters in the investigated strains during adolescence. Additionally, significant effects of sex, development, speed and body weight within each strain confirmed the sensitivity of motor and gait functions to these factors. The CatWalk gait analysis of rodents during adolescence, taking the effect of age, strain, sex, speed and body weight into consideration, will decrease intra-laboratory discrepancies and increase the face validity of rodent models of neuropsychiatric disorders.
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Affiliation(s)
- Claudia Pitzer
- Interdisciplinary Neurobehavioral Core, Heidelberg University, Heidelberg, Germany.
| | - Barbara Kurpiers
- Interdisciplinary Neurobehavioral Core, Heidelberg University, Heidelberg, Germany
| | - Ahmed Eltokhi
- Department of Pharmacology, University of Washington, Seattle, USA.
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22
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Comprehensive characterization of motor and coordination functions in three adolescent wild-type mouse strains. Sci Rep 2021; 11:6497. [PMID: 33753800 PMCID: PMC7985312 DOI: 10.1038/s41598-021-85858-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 03/02/2021] [Indexed: 12/13/2022] Open
Abstract
Neuropsychiatric disorders are often associated with motor and coordination abnormalities that have important implications on the etiology, pathophysiology, and management of these disorders. Although the onset of many neuropsychiatric disorders including autism spectrum disorder, schizophrenia, and attention-deficit hyperactivity disorder emerges mainly during infancy and adolescence, most of the behavioral studies in mice modeling neuropsychiatric phenotypes are performed in adult animals, possibly missing valuable phenotypic information related to the effect of synaptic maturation during development. Here, we examined which behavioral tests assessing both motor and coordination functions can be performed in mice at two different adolescent stages. As strain and sex affect mouse behavior, our experiments covered both male and female mice of three inbred wild-type strains, C57BL/6N, DBA/2, and FVB/N. Adolescent mice of both postnatal days (P)22-30 and P32-40 developmental stages were capable of mastering common motor and coordination tests. However, results differed significantly between strains and sexes. Moreover, the 10-day interval between the two tested cohorts uncovered a strong difference in the behavioral results, confirming the significant impact of maturation on behavioral patterns. Interestingly, the results of distinct behavioral experiments were directly correlated with the weight of mice, which may explain the lack of reproducibility of some behavioral results in genetically-modified mice. Our study paves the way for better reproducibility of behavioral tests by addressing the effect of the developmental stage, strain, sex, and weight of mice on achieving the face validity of neuropsychiatric disorder-associated motor dysfunctions.
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23
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Begum Ali J, Charman T, Johnson MH, Jones EJH. Early Motor Differences in Infants at Elevated Likelihood of Autism Spectrum Disorder and/or Attention Deficit Hyperactivity Disorder. J Autism Dev Disord 2020; 50:4367-4384. [PMID: 32328858 PMCID: PMC7677154 DOI: 10.1007/s10803-020-04489-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
We investigated infant's manual motor behaviour; specifically behaviours crossing the body midline. Infants at elevated likelihood of Autism Spectrum Disorder (ASD) and/or Attention Deficit Hyperactivity Disorder (ADHD) produced fewer manual behaviours that cross the midline compared to infants with a typical likelihood of developing these disorders; however this effect was limited to 10-month-olds and not apparent at age 5 and 14 months. Although, midline crossing did not predict ASD traits, it was related to ADHD traits at 2 years of age. We rule out motor ability and hand dominance as possible explanations for this pattern of behaviour, positing that these results may be a consequence of multisensory integration abilities, and the neurobehavioural shift period, in the first year of life.
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Affiliation(s)
- Jannath Begum Ali
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Henry Wellcome Building, Malet Street, London, WC1E 7HX, UK.
| | - Tony Charman
- Psychology Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Mark H Johnson
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Henry Wellcome Building, Malet Street, London, WC1E 7HX, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Henry Wellcome Building, Malet Street, London, WC1E 7HX, UK
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24
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Early Motor Development Predicts Clinical Outcomes of Siblings at High-Risk for Autism: Insight from an Innovative Motion-Tracking Technology. Brain Sci 2020; 10:brainsci10060379. [PMID: 32560198 PMCID: PMC7349903 DOI: 10.3390/brainsci10060379] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/12/2020] [Accepted: 06/12/2020] [Indexed: 11/17/2022] Open
Abstract
Atypical motor patterns are potential early markers and predictors of later diagnosis of Autism Spectrum Disorder (ASD). This study aimed to investigate the early motor trajectories of infants at high-risk (HR) of ASD through MOVIDEA, a semi-automatic software developed to analyze 2D and 3D videos and provide objective kinematic features of their movements. MOVIDEA was developed within the Italian Network for early detection of Autism Spectrum Disorder (NIDA Network), which is currently coordinating the most extensive surveillance program for infants at risk for neurodevelopmental disorders (NDDs). MOVIDEA was applied to video recordings of 53 low-risk (LR; siblings of typically developing children) and 50 HR infants’ spontaneous movements collected at 10 days and 6, 12, 18, and 24 weeks. Participants were grouped based on their clinical outcome (18 HR received an NDD diagnosis, 32 HR and 53 LR were typically developing). Results revealed that early developmental trajectories of specific motor parameters were different in HR infants later diagnosed with NDDs from those of infants developing typically. Since MOVIDEA was useful in the association of quantitative measures with specific early motor patterns, it should be applied to the early detection of ASD/NDD markers.
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