1
|
Marais AL, Roche-Labarbe N. Predictive coding and attention in developmental cognitive neuroscience and perspectives for neurodevelopmental disorders. Dev Cogn Neurosci 2025; 72:101519. [PMID: 39864185 PMCID: PMC11795830 DOI: 10.1016/j.dcn.2025.101519] [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: 06/23/2024] [Revised: 01/17/2025] [Accepted: 01/18/2025] [Indexed: 01/28/2025] Open
Abstract
Sensory prediction and repetition suppression are closely related cognitive mechanisms that allow the brain to form predictions about the environment, and guide perception in synergy with attention. Predictive coding is a theory of the fundamental role of predictive mechanisms in brain functions. Authors have proposed a central role of predictive impairments in autism and possibly other neurodevelopmental disorders. However, little is known about predictive mechanisms in typical development, and how they co-develop with attention. Here we review experimental support for predictive coding and its links with attention in healthy adults' brains, the first experimental works performed in typically developing children and infants, and theoretical accounts of neurodevelopmental disorders using a predictive coding framework. We propose future directions for predictive coding research in development. Finally, we describe the first predictive coding experiments in neonates and provide research perspectives for using this framework in searching for early markers of atypical neurodevelopment.
Collapse
Affiliation(s)
- Anne-Lise Marais
- Normandie Univ, UNICAEN, INSERM, COMETE, GIP CYCERON, Caen 14000, France
| | | |
Collapse
|
2
|
Lozano I, Campos R, Belinchón M. Sensitivity to temporal synchrony in audiovisual speech and language development in infants with an elevated likelihood of autism: A developmental review. Infant Behav Dev 2025; 78:102026. [PMID: 39874896 DOI: 10.1016/j.infbeh.2024.102026] [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: 10/01/2024] [Revised: 12/06/2024] [Accepted: 12/26/2024] [Indexed: 01/30/2025]
Abstract
Detecting temporal synchrony in audiovisual speech in infancy is fundamental for socio-communicative development, especially for language acquisition. Autism is an early-onset and highly heritable neurodevelopmental condition often associated with language difficulties that usually extend to infants with an elevated likelihood of autism. Early susceptibilities in still unclear basic mechanisms may underlie these difficulties. Here, we discuss why sensitivity to temporal synchrony in audiovisual speech should be investigated in infants with an elevated likelihood of autism as a candidate mechanism underlying language difficulties. We then review direct and indirect eye-tracking evidence. Although scarce, some studies suggest that detection of temporal synchrony in audiovisual speech may be reduced in infant siblings (but evidence is mixed); however, this does not seem to account for language difficulties. Instead, a lack of relationship between selective attention to the articulating mouth and language development may be a plausible candidate mechanism. However, longitudinal studies tracking both sensitivity to temporal synchrony and selective attention to talking faces in the first year are needed for further clarification. Our discussion highlights gaps in the literature, future research directions and implications for domain-general approaches to the emergence of autism.
Collapse
Affiliation(s)
- Itziar Lozano
- Department of Basic Psychology, Faculty of Psychology, Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, Iván Pavlov, 6, Madrid 28049, Spain; Neurocognitive Development Lab, Institute of Psychology, Polish Academy of Sciences, Jaracza, 1, Warsaw 00-378, Poland.
| | - Ruth Campos
- Department of Basic Psychology, Faculty of Psychology, Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, Iván Pavlov, 6, Madrid 28049, Spain.
| | - Mercedes Belinchón
- Department of Basic Psychology, Faculty of Psychology, Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, Iván Pavlov, 6, Madrid 28049, Spain.
| |
Collapse
|
3
|
Wall CA, Shic F, Will EA, Wang Q, Roberts JE. Similar Gap-Overlap Profiles in Children with Fragile X Syndrome and IQ-Matched Autism. J Autism Dev Disord 2025; 55:891-903. [PMID: 38246961 PMCID: PMC11260273 DOI: 10.1007/s10803-024-06245-1] [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] [Accepted: 01/09/2024] [Indexed: 01/23/2024]
Abstract
PURPOSE Fragile X syndrome (FXS) is a single-gene disorder characterized by moderate to severe cognitive impairment and a high association with autism spectrum disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD). Atypical visual attention is a feature of FXS, ASD, and ADHD. Thus, studying early attentional patterns in young children with FXS can offer insight into early emerging neurocognitive processes underlying challenges and contribute to our understanding of common and unique features of ASD and ADHD in FXS. METHODS The present study examined visual attention indexed by the gap-overlap paradigm in children with FXS (n = 39) compared to children with ASD matched on intellectual ability and age (n = 40) and age-matched neurotypical controls (n = 34). The relationship between gap-overlap performance and intellectual ability, ASD, and ADHD across groups was characterized. Saccadic reaction times (RT) were collected across baseline, gap, and overlap conditions. RESULTS Results indicate no group differences in RT for any conditions. However, RT of the ASD and NT groups became slower throughout the experiment whereas RT of the FXS group did not change, suggesting difficulties in habituation for the FXS group. There was no relationship between RT and intellectual ability, ADHD, or ASD symptoms in the FXS and ASD groups. In the NT group, slower RT was related to elevated ADHD symptoms only. CONCLUSION Taken together, findings suggest that the social attention differences documented in FXS and ASD may be due to other cognitive factors, such as reward or motivation, rather than oculomotor control of visual attention.
Collapse
Affiliation(s)
- Carla A Wall
- Duke University Medical Center, Center for Autism and Brain Development, 2424 Erwin Road, Suite 501, Durham, NC, 27705, USA.
| | - Frederick Shic
- Seattle Children's Research Institute, Center for Child Health, Behavior and Development, 1920 Terry Ave CURE-3, Seattle, WA, 98101, USA
- Department of Pediatrics, University of Washington School of Medicine, 1920 Terry Ave CURE-3, Seattle, WA, 98101, USA
| | - Elizabeth A Will
- Department of Communication Sciences and Disorders, University of South Carolina, Arnold School of Public Health, 6311 Garners Ferry Road, Columbia, SC, 29209, USA
| | - Quan Wang
- Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences, Xi'an, 710119, China
| | - Jane E Roberts
- Department of Psychology, College of Arts and Sciences, University of South Carolina, 6311 Garners Ferry Road, Columbia, SC, 29209, USA
| |
Collapse
|
4
|
Bovo M, Moyano S, Calignano G, Valenza E, Ballesteros-Duperon MÁ, Rueda MR. The modulating effect of gestational age on attentional disengagement in toddlers. Infant Behav Dev 2025; 78:102007. [PMID: 39608325 DOI: 10.1016/j.infbeh.2024.102007] [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: 06/27/2024] [Revised: 11/19/2024] [Accepted: 11/19/2024] [Indexed: 11/30/2024]
Abstract
Gestational Age (GA) at birth plays a crucial role in identifying potential vulnerabilities to long-term difficulties in cognitive and behavioral development. The present study aims to explore the influence of gestational age on the efficiency of early visual attention orienting, as a potential marker for the development of specific high-level socio-cognitive skills. We administered the Gap-Overlap task to measure the attentional orienting and disengagement performance of 16-month-olds born between the 34th and 41st weeks of gestation. Our findings indicate that GA might be a significant predictor of attentional disengagement performance, with lower GAs associated with slower orienting of visual attention in the gap condition. Additionally, we discuss a possible influence of endogenous attention control on disengagement accuracy at this age, particularly among full-term infants. Overall, the findings highlight the role of GA as a key factor in evaluating early visual attention development, acting as a marker for detecting early vulnerabilities.
Collapse
Affiliation(s)
- Martina Bovo
- Dept. of Developmental Psychology and Socialization, University of Padua, Italy.
| | - Sebastián Moyano
- Dept. of Experimental Psychology, University of Granada, Spain; Mind Brain and Behavior Research Center (CIMCYC), University of Granada, Spain.
| | - Giulia Calignano
- Dept. of Developmental Psychology and Socialization, University of Padua, Italy.
| | - Eloisa Valenza
- Dept. of Developmental Psychology and Socialization, University of Padua, Italy.
| | - María Ángeles Ballesteros-Duperon
- Mind Brain and Behavior Research Center (CIMCYC), University of Granada, Spain; Dept. of Psychobiology, University of Granada, Spain.
| | - María Rosario Rueda
- Dept. of Experimental Psychology, University of Granada, Spain; Mind Brain and Behavior Research Center (CIMCYC), University of Granada, Spain.
| |
Collapse
|
5
|
Wang W, Cheng C, Xu Z, Xue L, Fu W, Zhao J. Five-year-old children with autism spectrum disorders struggle with disengaging attention. Cogn Process 2025:10.1007/s10339-025-01256-x. [PMID: 39888465 DOI: 10.1007/s10339-025-01256-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 01/09/2025] [Indexed: 02/01/2025]
Abstract
It is known that individuals with autism spectrum disorders (ASD) exhibit impairments in shifting attention. However, previous studies have primarily focused on school-aged children and adults with ASD. It remains unclear whether attentional shifting impairments emerge at an early age. Additionally, it is uncertain which specific process-engagement or disengagement-is affected in individuals with ASD. This study investigated the time course of attentional shifting in preschool-aged children with ASD using a Posner cue-target paradigm. The cue-target onset asynchrony was systematically manipulated to reveal both the early facilitation effect of attentional capture (i.e., engagement) and the later inhibitory aftereffect, commonly referred to as inhibition of return (IOR). Results showed an early facilitation effect in both ASD and typically developing (TD) children, indicating that ASD children engaged attention to salient spatial locations. In contrast to TD children, no reliable IOR effect was observed in ASD children, suggesting difficulties in disengaging attention. These findings indicate a selective impairment in attentional disengagement among preschool-aged children with ASD and support the need for early intervention programs focusing on attentional shifting.
Collapse
Affiliation(s)
- Wei Wang
- Jing Hengyi School of Education, Hangzhou Normal University, Yuhangtang Road 2318, Hangzhou, Zhejiang, China
- Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Chun Cheng
- College of Education, Zhejiang University, Hangzhou, China
| | - Zhiyu Xu
- School of Educational Science, Hunan Normal University, Hunan, China
| | - Licheng Xue
- School of Preschool Education, Hangzhou Polytechnic, Hangzhou, China
| | - Wanlu Fu
- Department of Psychology, University of Padua, Padua, Italy
| | - Jing Zhao
- Jing Hengyi School of Education, Hangzhou Normal University, Yuhangtang Road 2318, Hangzhou, Zhejiang, China.
- Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
| |
Collapse
|
6
|
Kulke L. Coregistration of EEG and eye-tracking in infants and developing populations. Atten Percept Psychophys 2025; 87:228-237. [PMID: 38388851 PMCID: PMC11845560 DOI: 10.3758/s13414-024-02857-y] [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] [Accepted: 02/06/2024] [Indexed: 02/24/2024]
Abstract
Infants cannot be instructed where to look; therefore, infant researchers rely on observation of their participant's gaze to make inferences about their cognitive processes. They therefore started studying infant attention in the real world from early on. Developmental researchers were early adopters of methods combining observations of gaze and behaviour with electroencephalography (EEG) to study attention and other cognitive functions. However, the direct combination of eye-tracking methods and EEG to test infants is still rare, as it includes specific challenges. The current article reviews the development of co-registration research in infancy. It points out specific challenges of co-registration in infant research and suggests ways to overcome them. It ends with recommendations for implementing the co-registration of EEG and eye-tracking in infant research to maximise the benefits of the two measures and their combination and to orient on Open Science principles while doing so. In summary, this work shows that the co-registration of EEG and eye-tracking in infant research can be beneficial to studying natural and real-world behaviour despite its challenges.
Collapse
Affiliation(s)
- Louisa Kulke
- Department of Developmental Psychology with Educational Psychology, University of Bremen, Hochschulring 18, 28359, Bremen, Germany.
| |
Collapse
|
7
|
Stefanelli G, Pili MP, Crifaci G, Capelli E, Beretta C, Riboldi EM, Billeci L, Cantiani C, Molteni M, Riva V. Pupillary responses for social versus non-social stimuli in autism: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 166:105872. [PMID: 39236834 DOI: 10.1016/j.neubiorev.2024.105872] [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: 01/29/2024] [Revised: 08/28/2024] [Accepted: 08/31/2024] [Indexed: 09/07/2024]
Abstract
Pupillometry has gained attention as a valuable tool for assessing autonomic nervous system activity and studying phasic changes in pupil size to comprehend underlying neurocognitive mechanisms. However, knowledge regarding pupillary responses to social processing in autism is limited. We conducted a systematic review and meta-analysis, examining research studies on pupil size changes that compare social and non-social stimuli in autism. Electronic searches were performed for articles up to September 2023 and relevant studies were evaluated following PRISMA guidelines. Out of 284 articles screened, 14 studies were eligible for systematic review. The results indicated that non-autistic individuals showed larger pupil size for social compared to non-social stimuli (g = 0.54; 95 % CI [0.25, 0.82]), whereas autistic individuals seemed to exhibit no differences between the two conditions. However, high heterogeneity was observed between studies in autistic populations, compromising interpretability. Despite such limitations, pupillary responses may constitute an objective physiological marker of social processing in autism. This review emphasizes the need for further investigations into pupillary responses in autism across different life stages.
Collapse
Affiliation(s)
- Giulia Stefanelli
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Miriam Paola Pili
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
| | - Giulia Crifaci
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Elena Capelli
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Carolina Beretta
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Elena Maria Riboldi
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Lucia Billeci
- Institute of Clinical Physiology, National Research Council of Italy (CNR-IFC), Pisa, Italy.
| | - Chiara Cantiani
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy; Università Cattolica del Sacro Cuore, Milan, Italy.
| | - Massimo Molteni
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Valentina Riva
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| |
Collapse
|
8
|
Lloyd-Fox S, McCann S, Milosavljevic B, Katus L, Blasi A, Bulgarelli C, Crespo-Llado M, Ghillia G, Fadera T, Mbye E, Mason L, Njai F, Njie O, Perapoch-Amado M, Rozhko M, Sosseh F, Saidykhan M, Touray E, Moore SE, Elwell CE. The Brain Imaging for Global Health (BRIGHT) Project: Longitudinal cohort study protocol. Gates Open Res 2024; 7:126. [PMID: 39372355 PMCID: PMC11452580 DOI: 10.12688/gatesopenres.14795.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/30/2024] [Indexed: 10/08/2024] Open
Abstract
There is a scarcity of prospective longitudinal research targeted at early postnatal life which maps developmental pathways of early-stage processing and brain specialisation in the context of early adversity. Follow up from infancy into the one-five year age range is key, as it constitutes a critical gap between infant and early childhood studies. Availability of portable neuroimaging (functional near infrared spectroscopy (fNIRS) and electroencephalography (EEG)) has enabled access to rural settings increasing the diversity of our sampling and broadening developmental research to include previously underrepresented ethnic-racial and geographical groups in low- and middle- income countries (LMICs). The primary objective of the Brain Imaging for Global Health (BRIGHT) project was to establish brain function - using longitudinal data from mother - for-age reference curves infant dyads living in the UK and rural Gambia and investigate the association between context-associated moderators and developmental trajectories across the first two years of life in The Gambia. In total, 265 participating families were seen during pregnancy, at 7-14 days, 1-, 5-, 8-, 12-, 18- and 24-months post-partum. An additional visit is now underway at 3-5 years to assess pre-school outcomes. The majority of our Gambian cohort live in poverty, but while resource-poor in many factors they commonly experience a rich and beneficial family and caregiving context with multigenerational care and a close-knit supportive community. Understanding the impact of different factors at play in such an environment ( i.e., detrimental undernutrition versus beneficial multigenerational family support) will (i) improve the representativeness of models of general cognitive developmental pathways from birth, (ii) identify causal pathways of altered trajectories associated with early adversity at both individual and group level, and (iii) identify the context-associated moderators ( i.e. social context) that protect development despite the presence of poverty-associated challenges. This will in turn contribute to the development of targeted interventions.
Collapse
Affiliation(s)
- Sarah Lloyd-Fox
- Psychology, University of Cambridge, Cambridge, England, UK
- Psychological Sciences, Birkbeck University of London, London, England, UK
| | - Sam McCann
- Women's and Children's Health, Kings College London, London, UK
| | - Bosiljka Milosavljevic
- Psychology, University of Cambridge, Cambridge, England, UK
- Department of Biological and Experimental Psychology, Queen Mary University of London, London, England, UK
| | - Laura Katus
- School of Human Sciences, University of Greenwich, London, England, UK
| | - Anna Blasi
- Medical Physics and Biomedical Engineering, University College London, London, England, UK
| | - Chiara Bulgarelli
- Psychological Sciences, Birkbeck University of London, London, England, UK
- Medical Physics and Biomedical Engineering, University College London, London, England, UK
| | - Maria Crespo-Llado
- Institute of Lifecourse and Medical Sciences, University of Liverpool, Liverpool, England, UK
| | - Giulia Ghillia
- Women's and Children's Health, Kings College London, London, UK
| | - Tijan Fadera
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Ebrima Mbye
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Luke Mason
- Women's and Children's Health, Kings College London, London, UK
| | - Fabakary Njai
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Omar Njie
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | | | - Maria Rozhko
- Psychology, University of Cambridge, Cambridge, England, UK
| | - Fatima Sosseh
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Mariama Saidykhan
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Ebou Touray
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Sophie E. Moore
- Women's and Children's Health, Kings College London, London, UK
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Clare E. Elwell
- Medical Physics and Biomedical Engineering, University College London, London, England, UK
| | - The BRIGHT Project team
- Psychology, University of Cambridge, Cambridge, England, UK
- Psychological Sciences, Birkbeck University of London, London, England, UK
- Women's and Children's Health, Kings College London, London, UK
- Department of Biological and Experimental Psychology, Queen Mary University of London, London, England, UK
- School of Human Sciences, University of Greenwich, London, England, UK
- Medical Physics and Biomedical Engineering, University College London, London, England, UK
- Institute of Lifecourse and Medical Sciences, University of Liverpool, Liverpool, England, UK
- The Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
- Psychology, University of East London, London, England, UK
| |
Collapse
|
9
|
Rothwell C, Westermann G, Hartley C. How do Autistic and Neurotypical Children's Interests Influence their Accuracy During Novel Word Learning? J Autism Dev Disord 2024; 54:3301-3315. [PMID: 37530913 PMCID: PMC11362225 DOI: 10.1007/s10803-023-06066-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2023] [Indexed: 08/03/2023]
Abstract
Word learning depends on attention - children must focus on the right things at the right times. However, autistic children often display restricted interests, limiting their intake of stimuli during word learning. This study investigates how category interests influence word learning in autism and neurotypical development. Autistic and neurotypical children matched on receptive vocabulary used a touch-screen computer to learn novel words associated with animals (high-interest stimuli) and objects (neutral-interest stimuli) via fast mapping. Response accuracy and speed were examined at referent selection, 5-minute retention, and 24-hour retention. Both groups identified meanings of novel words associated with unfamiliar animals and objects via mutual exclusivity with comparable accuracy. After 5 minutes, autistic children retained animal names with greater accuracy than neurotypical children. Autistic children showed a greater increase in their accuracy between 5-minute and 24-hour retention and outperformed neurotypical children across conditions after a night's sleep. Across groups, 24-hour retention was predicted by number of target word repetitions heard at referent selection, indicating a relationship between fast mapping input and retention. However, autistic children were slower to respond correctly, particularly in the animal condition. For autistic children, superior word learning associated with high-interest stimuli was relatively short-term, as sleep appeared to consolidate their memory representations for neutral-interest stimuli. Although these results demonstrate that fundamental word learning mechanisms are not atypical in autism, slower response times may signal a speed-accuracy trade-off that could have implications for naturalistic language acquisition. Our findings also indicate favourable environmental conditions to scaffold word learning.
Collapse
Affiliation(s)
| | - Gert Westermann
- Department of Psychology, Lancaster University, Lancaster, LA1 4YF, UK.
| | - Calum Hartley
- Department of Psychology, Lancaster University, Lancaster, LA1 4YF, UK.
| |
Collapse
|
10
|
Hou W, Jiang Y, Yang Y, Zhu L, Li J. Evaluating the validity of eye-tracking tasks and stimuli in detecting high-risk infants later diagnosed with autism: A meta-analysis. Clin Psychol Rev 2024; 112:102466. [PMID: 39033664 DOI: 10.1016/j.cpr.2024.102466] [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: 06/29/2023] [Revised: 07/02/2024] [Accepted: 07/08/2024] [Indexed: 07/23/2024]
Abstract
Gaze abnormalities are well documented in infants at elevated risk for autism spectrum disorder (ASD). However, variations in experimental design and stimuli across studies have led to mixed results. The current meta-analysis aimed to identify which type of eye tracking task and stimulus are most effective at differentiating high-risk infants (siblings of children with ASD) who later meet diagnosis criteria from low-risk infants without familial autism. We synthesized 35 studies that used eye tracking to investigate gaze behavior in infants at high genetic risk for autism before 2 years of age. We found that stimulus features, regions of interest (ROIs) and study quality moderated effect sizes across studies. Overall, dynamic stimuli and socially-relevant regions in the social stimuli (i.e. the target and activity of characters' shared focus) reliably detected high-risk infants who later develop ASD. Attention disengagement task and stimuli depicting interactions between human and nonhuman characters could identify high-risk infants who later develop ASD and those who have autism-related symptoms but do not meet the diagnostic criteria as well. These findings provide sensitive and reliable early markers of ASD, which is helpful to develop objective and quantitative early autism screening and intervention tools.
Collapse
Affiliation(s)
- Wenwen Hou
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yingying Jiang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yunmei Yang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Liqi Zhu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jing Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|
11
|
Bazelmans T, Arthur R, Pasco G, Shephard E, Milosavljevic B, Ali JB, Pickles A, Johnson MH, Jones EJH, Charman T. Mid-childhood autism sibling recurrence in infants with a family history of autism. Autism Res 2024; 17:1501-1514. [PMID: 38973707 PMCID: PMC11801122 DOI: 10.1002/aur.3182] [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: 02/09/2024] [Accepted: 06/10/2024] [Indexed: 07/09/2024]
Abstract
Autism sibling recurrence in prospective infant family history studies is ~20% at 3 years but systematic follow-up to mid-childhood is rare. In population and clinical cohorts autism is not recognized in some children until school-age or later. One hundred and fifty-nine infants with an older sibling with autism underwent research diagnostic assessments at 3 years and mid-childhood (6 to 12 years (mean 9)). We report the autism sibling recurrence rate in mid-childhood and compare developmental and behavioral profiles at mid-childhood and 3 years in those with earlier versus later recognized autism, and those who had, or had not, received a community autism diagnosis. The autism recurrence rate in this sample in mid-childhood was 37.1%, 95% CI [29.9%, 44.9%] and higher in boys than girls. Around half of those diagnosed with autism in mid-childhood had not received a diagnosis at 3 years. Later, diagnosis was more common in girls than boys. While some had sub-threshold symptoms at 3, in others late diagnosis followed a largely typical early presentation. Sibling recurrence based on community clinical diagnosis was 24.5%, 95% CI [18.4%, 31.9%]. Those who also had a community diagnosis tended to be older, have lower adaptive function and higher autism and inattention symptoms. Notwithstanding limitations of a single site study, modest sample size and limits to generalisability, autism sibling recurrence in family history infants may be higher in mid-childhood than in studies reporting diagnostic outcome at 3 years. Findings have implications for families and clinical services, and for prospective family history studies.
Collapse
Affiliation(s)
- Tessel Bazelmans
- Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | - Rowan Arthur
- Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | - Greg Pasco
- Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | | | | | - Jannath Begum Ali
- Centre for Brain and Cognitive Development, BirkbeckUniversity of LondonLondonUK
| | - Andrew Pickles
- Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | - Mark H. Johnson
- Centre for Brain and Cognitive Development, BirkbeckUniversity of LondonLondonUK
- Department of PsychologyUniversity of CambridgeUK
| | - Emily J. H. Jones
- Centre for Brain and Cognitive Development, BirkbeckUniversity of LondonLondonUK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| |
Collapse
|
12
|
Kuehne C, Phillips MD, Moody S, Bryson C, Campbell IC, Conde P, Cummins N, Desrivières S, Dineley J, Dobson R, Douglas D, Folarin A, Gallop L, Hemmings A, İnce B, Mason L, Rashid Z, Bromell A, Sims C, Allen K, Bailie C, Bains P, Basher M, Battisti F, Baudinet J, Bristow K, Dawson N, Dodd L, Frater V, Freudenthal R, Gripton B, Kan C, Khor JWT, Kotze N, Laverack S, Martin L, Maxwell S, McDonald S, McKnight D, McKay R, Merrin J, Nash M, Nicholls D, Palmer S, Pearce S, Roberts C, Serpell L, Severs E, Simic M, Staton A, Westaway S, Sharpe H, Schmidt U. Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol. BMC Psychiatry 2024; 24:409. [PMID: 38816707 PMCID: PMC11137943 DOI: 10.1186/s12888-024-05841-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 05/13/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Eating disorders (EDs) are serious, often chronic, conditions associated with pronounced morbidity, mortality, and dysfunction increasingly affecting young people worldwide. Illness progression, stages and recovery trajectories of EDs are still poorly characterised. The STORY study dynamically and longitudinally assesses young people with different EDs (restricting; bingeing/bulimic presentations) and illness durations (earlier; later stages) compared to healthy controls. Remote measurement technology (RMT) with active and passive sensing is used to advance understanding of the heterogeneity of earlier and more progressed clinical presentations and predictors of recovery or relapse. METHODS STORY follows 720 young people aged 16-25 with EDs and 120 healthy controls for 12 months. Online self-report questionnaires regularly assess ED symptoms, psychiatric comorbidities, quality of life, and socioeconomic environment. Additional ongoing monitoring using multi-parametric RMT via smartphones and wearable smart rings ('Ōura ring') unobtrusively measures individuals' daily behaviour and physiology (e.g., Bluetooth connections, sleep, autonomic arousal). A subgroup of participants completes additional in-person cognitive and neuroimaging assessments at study-baseline and after 12 months. DISCUSSION By leveraging these large-scale longitudinal data from participants across ED diagnoses and illness durations, the STORY study seeks to elucidate potential biopsychosocial predictors of outcome, their interplay with developmental and socioemotional changes, and barriers and facilitators of recovery. STORY holds the promise of providing actionable findings that can be translated into clinical practice by informing the development of both early intervention and personalised treatment that is tailored to illness stage and individual circumstances, ultimately disrupting the long-term burden of EDs on individuals and their families.
Collapse
Affiliation(s)
- Carina Kuehne
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
| | - Matthew D Phillips
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
| | - Sarah Moody
- School of Health in Social Science, The University of Edinburgh, Edinburgh, UK
| | - Callum Bryson
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
| | - Iain C Campbell
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
| | - Pauline Conde
- Department of Biostatistics & Health Informatics, IoPPN, King's College London, London, UK
| | - Nicholas Cummins
- Department of Biostatistics & Health Informatics, IoPPN, King's College London, London, UK
| | - Sylvane Desrivières
- Social, Genetic & Developmental Psychiatry Centre, IoPPN, King's College London, London, UK
| | - Judith Dineley
- Department of Biostatistics & Health Informatics, IoPPN, King's College London, London, UK
| | - Richard Dobson
- Department of Biostatistics & Health Informatics, IoPPN, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, London, UK
- University College London, Institute of Health Informatics, London, UK
| | - Daire Douglas
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
| | - Amos Folarin
- Department of Biostatistics & Health Informatics, IoPPN, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, London, UK
- University College London, Institute of Health Informatics, London, UK
| | - Lucy Gallop
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
| | - Amelia Hemmings
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
| | - Başak İnce
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
| | - Luke Mason
- Department of Forensic and Neurodevelopmental Science, IoPPN, King's College London, London, UK
| | - Zulqarnain Rashid
- Department of Biostatistics & Health Informatics, IoPPN, King's College London, London, UK
| | | | | | - Karina Allen
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Chantal Bailie
- Cornwall Partnership NHS Foundation Trus, Bodmin, Cornwall, UK
| | - Parveen Bains
- Oxford Health NHS Foundation Trust, Oxford, Oxfordshire, UK
| | - Mike Basher
- Cambridgeshire and Peterborough NHS Foundation Trust, Fulbourn, Cambridgeshire, UK
| | | | - Julian Baudinet
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Katherine Bristow
- Cambridgeshire and Peterborough NHS Foundation Trust, Fulbourn, Cambridgeshire, UK
| | - Nicola Dawson
- Bradford District Care NHS Foundation Trust, West Yorkshire, UK
| | - Lizzie Dodd
- South West Yorkshire Partnership NHS Foundation Trust, Wakefield, UK
| | - Victoria Frater
- Cumbria Northumberland Tyne and Wear NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Robert Freudenthal
- Barnet, Enfield and Haringey Mental Health NHS Foundation Trust, London, UK
| | - Beth Gripton
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Carol Kan
- Central and North West London NHS Foundation Trust, London, UK
| | - Joel W T Khor
- South West London & St. George's Mental Health NHS Trust, St George's Eating Disorders Service, London, UK
| | - Nicus Kotze
- Dorset Healthcare University NHS Foundation Trust, Poole, Dorset, UK
| | - Stuart Laverack
- Derbyshire Healthcare NHS Foundation Trust, Derby, Derbyshire, UK
| | - Lee Martin
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Sarah Maxwell
- Norfolk and Suffolk NHS Foundation Trust, Norwich, Norfolk, UK
| | - Sarah McDonald
- Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
| | - Delysia McKnight
- North Staffordshire Combined Healthcare NHS Trust; Trentham, Staffordshire, UK
| | | | - Jessica Merrin
- South West Yorkshire Partnership NHS Foundation Trust, Wakefield, UK
| | - Mel Nash
- Devon Partnership NHS Foundation Trust, Exeter, Devon, UK
| | - Dasha Nicholls
- Central and North West London NHS Foundation Trust, London, UK
- Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, UK
| | | | - Samantha Pearce
- Cornwall Partnership NHS Foundation Trus, Bodmin, Cornwall, UK
| | | | - Lucy Serpell
- North East London NHS Foundation Trust, London, UK
- Division of Psychology and Language Sciences, University College London, London, UK
| | | | - Mima Simic
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Amelia Staton
- Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
| | - Sian Westaway
- Herefordshire and Worcestershire Health and Care NHS Trust, Worcester, UK
| | - Helen Sharpe
- School of Health in Social Science, The University of Edinburgh, Edinburgh, UK
| | - Ulrike Schmidt
- Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, King's College London, Psychology & Neuroscience London (IoPPN), 103 Denmark Hill, First Floor, London, SE5 8AZ, UK.
- South London and Maudsley NHS Foundation Trust, London, UK.
| |
Collapse
|
13
|
Bettoni R, Cantiani C, Riboldi EM, Molteni M, Bulf H, Riva V. Visual statistical learning in preverbal infants at a higher likelihood of autism and its association with later social communication skills. PLoS One 2024; 19:e0300274. [PMID: 38748641 PMCID: PMC11095754 DOI: 10.1371/journal.pone.0300274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/25/2024] [Indexed: 05/19/2024] Open
Abstract
Visual statistical Learning (SL) allows infants to extract the statistical relationships embedded in a sequence of elements. SL plays a crucial role in language and communication competencies and has been found to be impacted in Autism Spectrum Disorder (ASD). This study aims to investigate visual SL in infants at higher likelihood of developing ASD (HL-ASD) and its predictive value on autistic-related traits at 24-36 months. At 6 months of age, SL was tested using a visual habituation task in HL-ASD and neurotypical (NT) infants. All infants were habituated to a visual sequence of shapes containing statistically predictable patterns. In the test phase, infants viewed the statistically structured, familiar sequence in alternation with a novel sequence that did not contain any statistical information. HL-ASD infants were then evaluated at 24-36 months to investigate the associations between visual SL and ASD-related traits. Our results showed that NT infants were able to learn the statistical structure embedded in the visual sequences, while HL-ASD infants showed different learning patterns. A regression analysis revealed that SL ability in 6-month-old HL-ASD infants was related to social communication and interaction abilities at 24-36 months of age. These findings indicate that early differences in learning visual statistical patterns might contribute to later social communication skills.
Collapse
Affiliation(s)
- Roberta Bettoni
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Chiara Cantiani
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy
| | - Elena Maria Riboldi
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy
| | - Massimo Molteni
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy
| | - Hermann Bulf
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Valentina Riva
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy
| |
Collapse
|
14
|
Ronconi L, Cantiani C, Riva V, Franchin L, Bettoni R, Gori S, Bulf H, Valenza E, Facoetti A. Infants' reorienting efficiency depends on parental autistic traits and predicts future socio-communicative behaviors. Cereb Cortex 2024; 34:40-49. [PMID: 38696607 PMCID: PMC11909797 DOI: 10.1093/cercor/bhae089] [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: 09/29/2023] [Revised: 01/29/2024] [Accepted: 02/21/2024] [Indexed: 05/04/2024] Open
Abstract
Attentional reorienting is dysfunctional not only in children with autism spectrum disorder (ASD), but also in infants who will develop ASD, thus constituting a potential causal factor of future social interaction and communication abilities. Following the research domain criteria framework, we hypothesized that the presence of subclinical autistic traits in parents should lead to atypical infants' attentional reorienting, which in turn should impact on their future socio-communication behavior in toddlerhood. During an attentional cueing task, we measured the saccadic latencies in a large sample (total enrolled n = 89; final sample n = 71) of 8-month-old infants from the general population as a proxy for their stimulus-driven attention. Infants were grouped in a high parental traits (HPT; n = 23) or in a low parental traits (LPT; n = 48) group, according to the degree of autistic traits self-reported by their parents. Infants (n = 33) were then longitudinally followed to test their socio-communicative behaviors at 21 months. Results show a sluggish reorienting system, which was a longitudinal predictor of future socio-communicative skills at 21 months. Our combined transgenerational and longitudinal findings suggest that the early functionality of the stimulus-driven attentional network-redirecting attention from one event to another-could be directly connected to future social and communication development.
Collapse
Affiliation(s)
- Luca Ronconi
- School of Psychology, Vita-Salute San Raffaele University, Via Olgettina, 58, 20132 Milan, Italy
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132 Milan, Italy
| | - Chiara Cantiani
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Via Don Luigi Monza, 20, 23842 Lecco, Italy
| | - Valentina Riva
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Via Don Luigi Monza, 20, 23842 Lecco, Italy
| | - Laura Franchin
- Department of Psychology and Cognitive Science, University of Trento, Corso Bettini, 84, 38068 Rovereto, Italy
| | - Roberta Bettoni
- Department of Psychology, Università degli Studi di Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano, Italy
| | - Simone Gori
- Department of Human and Social Sciences, University of Bergamo, Piazzale Sant'Agostino, 2, 24129 Bergamo, Italy
| | - Herman Bulf
- Department of Psychology, Università degli Studi di Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano, Italy
| | - Eloisa Valenza
- Department of Developmental and Social Psychology, Via Venezia 8, University of Padova, 35131 Padova, Italy
| | - Andrea Facoetti
- Developmental and Cognitive Neuroscience Lab, Department of General Psychology, Via Venezia 8, University of Padova, 35131 Padova, Italy
| |
Collapse
|
15
|
Heo MQ, English MCW, Maybery MT, Visser TAW. Visuospatial cueing differences as a function of autistic traits. Atten Percept Psychophys 2024; 86:1342-1359. [PMID: 38561567 PMCID: PMC11093807 DOI: 10.3758/s13414-024-02871-0] [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] [Accepted: 02/20/2024] [Indexed: 04/04/2024]
Abstract
Atypical orienting of visuospatial attention in autistic individuals or individuals with a high level of autistic-like traits (ALTs) has been well documented and viewed as a core feature underlying the development of autism. However, there has been limited testing of three alternative theoretical positions advanced to explain atypical orienting - difficulty in disengagement, cue indifference, and delay in orienting. Moreover, research commonly has not separated facilitation (reaction time difference between neutral and valid cues) and cost effects (reaction time difference between invalid and neutral cues) in orienting tasks. We addressed these limitations in two experiments that compared groups selected for Low- and High-ALT levels on exogenous and endogenous versions of the Posner cueing paradigm. Experiment 1 showed that High-ALT participants exhibited a significantly reduced cost effect compared to Low-ALT participants in the endogenous cueing task, although the overall orienting effect remained small. In Experiment 2, we increased task difficulty of the endogenous task to augment cueing effects. Results were comparable to Experiment 1 regarding the finding of a reduced cost effect for High-ALT participants on the endogenous cueing task and additionally demonstrated a reduced facilitation effect in High-ALT participants on the same task. No ALT group differences were observed on an exogenous cueing task included in Experiment 2. These findings suggest atypical orienting in High-ALT individuals may be attributable to general cue indifference, which implicates differences in top-down attentional processes between Low- and High-ALT individuals. We discuss how indifference to endogenous cues may contribute to social cognitive differences in autism.
Collapse
Affiliation(s)
- Min Quan Heo
- School of Psychological Science, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.
| | - Michael C W English
- School of Psychological Science, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia
| | - Murray T Maybery
- School of Psychological Science, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia
| | - Troy A W Visser
- School of Psychological Science, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia
| |
Collapse
|
16
|
McCann S, Mason L, Milosavljevic B, Mbye E, Touray E, Colley A, Johnson W, Lloyd-Fox S, Elwell CE, Moore SE. Iron status in early infancy is associated with trajectories of cognitive development up to pre-school age in rural Gambia. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0002531. [PMID: 37910494 PMCID: PMC10619872 DOI: 10.1371/journal.pgph.0002531] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 10/03/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION Iron deficiency is among the leading risk factors for poor cognitive development. However, interventions targeting iron deficiency have had mixed results on cognitive outcomes. This may be due to previous interventions focusing on the correction of iron deficiency anaemia in late infancy and early childhood, at which point long lasting neural impacts may already be established. We hypothesise that the relationship between iron status and cognitive development will be observable in the first months of life and will not be recovered by 5 years of age. METHODS Using data from the Brain Imaging for Global Health (BRIGHT) Study in Gambia (n = 179), we conducted mixed effects modelling to assess the relationship between iron status at 5 months of age and trajectories of cognitive development from 5 months- 5 years using (i) a standardised measure of cognitive development (Mullen Scales of Early Learning) and (ii) an eye-tracking assessment of attention processing (visual disengagement time). RESULTS All infants were iron sufficient at 1 month of age. At 5 and 12 months of age 30% and 55% of infants were iron deficient respectively. In fully adjusted analyses, infants in the lowest tercile of soluble transferrin receptor (sTfR) (best iron status) achieved MSEL Cognitive Scores on average 1.9 points higher than infants in the highest sTfR tercile (p = 0.009, effect size = 0.48). There was no evidence that this group difference was recovered by 5 years of age. Infants in the lowest sTfR tercile had visual disengagement time 57ms faster than the highest tercile (p = 0.001, effect size = 0.59). However, this difference diminished by early childhood (p = 0.024). CONCLUSION Infants are at risk of iron deficiency in early infancy. A relationship between iron status and cognitive development is apparent from 5 months of age and remains observable at 5 years of age. One mechanism by which iron availability in early infancy impacts brain development may be through effects on early attentional processing, which is rapidly developing and has substantial nutritional requirements during this period. To support neurocognitive development, prevention of iron deficiency in pre- and early postnatal life may be more effective than correcting iron deficiency once already established.
Collapse
Affiliation(s)
- Samantha McCann
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
| | - Luke Mason
- Institute of Psychology, Psychiatry and Neuroscience, King’s College London, London, United Kingdom
| | | | - Ebrima Mbye
- Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - Ebou Touray
- Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - Alhassan Colley
- Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - William Johnson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Sarah Lloyd-Fox
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Clare E. Elwell
- Department of Medical Physics, University College London, London, United Kingdom
| | - Sophie E. Moore
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
- Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | | |
Collapse
|
17
|
Fan X, Kolodny T, Woodard KM, Tasevac A, Ganz WR, Rea H, Kurtz-Nelson EC, Webb SJ, Murray SO. Rhythmic attentional sampling in autism. Autism Res 2023; 16:2090-2099. [PMID: 37676241 PMCID: PMC10840939 DOI: 10.1002/aur.3021] [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: 04/27/2023] [Accepted: 08/16/2023] [Indexed: 09/08/2023]
Abstract
Individuals diagnosed with autism often display alterations in visual spatial attention toward visual stimuli, but the underlying cause of these differences remains unclear. Recent evidence has demonstrated that covert spatial attention, rather than remaining constant at a cued location, samples stimuli rhythmically at a frequency of 4-8 Hz (theta). Here we tested whether rhythmic sampling of attention is altered in autism. Participants were asked to monitor three locations to detect a brief target presented 300-1200 ms after a spatial cue. Visual attention was oriented to the cue and modified visual processing at the cued location, consistent with previous studies. We measured detection performance at different cue-target intervals when the target occurred at the cued location. Significant oscillations in detection performance were identified using both a traditional time-shuffled approach and a new autoregressive surrogate method developed by Brookshire in 2022. We found that attention enhances behavioral performance rhythmically at the same frequency in both autism and control group at the cued location. However, rhythmic temporal structure was not observed in a subgroup of autistic individuals with co-occurring attention-deficit/hyperactivity disorder (ADHD). Our results imply that intrinsic brain rhythms which organize neural activity into alternating attentional states is functional in autistic individuals, but may be altered in autistic participants who have a concurrent ADHD diagnosis.
Collapse
Affiliation(s)
- Xiaoxu Fan
- Department of Psychology, University of Washington
| | | | | | | | - Wesley R Ganz
- Department of Psychiatry and Behavioral Science, University of Washington
| | - Hannah Rea
- Department of Psychiatry and Behavioral Science, University of Washington
| | | | - Sara Jane Webb
- Department of Psychiatry and Behavioral Science, University of Washington
| | | |
Collapse
|
18
|
Bellato A, Arora I, Kochhar P, Ropar D, Hollis C, Groom MJ. Relationship between autonomic arousal and attention orienting in children and adolescents with ADHD, autism and co-occurring ADHD and autism. Cortex 2023; 166:306-321. [PMID: 37459680 DOI: 10.1016/j.cortex.2023.06.002] [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: 12/21/2022] [Revised: 05/22/2023] [Accepted: 06/08/2023] [Indexed: 08/29/2023]
Abstract
INTRODUCTION Attention-Deficit/Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) may be characterized by different profiles of visual attention orienting. However, there are also many inconsistent findings emerging from the literature, probably due to the fact that the potential effect of autonomic arousal (which has been proposed to be dysregulated in these conditions) on oculomotor performance has not been investigated before. Moreover, it is not known how visual attention orienting is affected by the co-occurrence of ADHD and autism in people with a double diagnosis. METHODS 99 children/adolescents with or without ADHD and/or autism (age 10.79 ± 2.05 years, 65% boys) completed an adapted version of the gap-overlap task (with baseline and overlap trials only). The social salience and modality of stimuli were manipulated between trials. Eye movements and pupil size were recorded. We compared saccadic reaction times (SRTs) between diagnostic groups and investigated if a trial-by-trial association existed between pre-saccadic pupil size and SRTs. RESULTS Faster orienting (shorter SRT) was found for baseline compared to overlap trials, faces compared to non-face stimuli and-more evidently in children without ADHD and/or autism-for multi-modal compared to uni-modal stimuli. We also found a linear negative association between pre-saccadic pupil size and SRTs, in autistic participants (without ADHD), and a quadratic association in children with ADHD (without autism), for which SRTs were slower when intra-individual pre-saccadic pupil size was smallest or largest. CONCLUSION Our findings are in line with previous literature and indicate a possible effect of dysregulated autonomic arousal on oculomotor mechanisms in autism and ADHD, which should be further investigated in future research studies with larger samples, to reliably investigate possible differences between children with single and dual diagnoses.
Collapse
Affiliation(s)
- Alessio Bellato
- School of Psychology, University of Nottingham, Malaysia; Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Institute of Mental Health, Innovation Park, Triumph Road, Nottingham, NG7 2TU, UK.
| | - Iti Arora
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Institute of Mental Health, Innovation Park, Triumph Road, Nottingham, NG7 2TU, UK
| | - Puja Kochhar
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Institute of Mental Health, Innovation Park, Triumph Road, Nottingham, NG7 2TU, UK; Neurodevelopmental Specialist Service (NeSS), Nottinghamshire Healthcare NHS Foundation Trust, Highbury Hospital, Highbury Road, Nottingham, NG6 9DR, UK
| | - Danielle Ropar
- School of Psychology, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Chris Hollis
- Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK; NIHR MindTech Medtech Co-operative, Institute of Mental Health, Innovation Park, Triumph Road, Nottingham, NG7 2TU, UK NIHR; Nottingham Biomedical Research Centre, Institute of Mental Health, Innovation Park, Triumph Road, Nottingham, NG7 2TU, UK
| | - Madeleine J Groom
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Institute of Mental Health, Innovation Park, Triumph Road, Nottingham, NG7 2TU, UK; Nottingham Biomedical Research Centre, Institute of Mental Health, Innovation Park, Triumph Road, Nottingham, NG7 2TU, UK
| |
Collapse
|
19
|
Moyano S, Rico-Picó J, Conejero Á, Hoyo Á, Ballesteros-Duperón MDLÁ, Rueda MR. Influence of the environment on the early development of attentional control. Infant Behav Dev 2023; 71:101842. [PMID: 37187034 DOI: 10.1016/j.infbeh.2023.101842] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 04/13/2023] [Accepted: 05/08/2023] [Indexed: 05/17/2023]
Abstract
The control of visual attention is key to learning and has a foundational role in the development of self-regulated behavior. Basic attention control skills emerge early in life and show a protracted development along childhood. Prior research suggests that attentional development is influenced by environmental factors in early and late childhood. Although, much less information is available about the impact of the early environment on emerging endogenous attention skills during infancy. In the current study we aimed to test the impact of parental socioeconomic status (SES) and home environment (chaos) in the emerging control of orienting in a sample of typically-developing infants. A group of 142 (73 female) 6-month-old infants were longitudinally tested at 6, 9 (n = 122; 60 female) and 16-18 (n = 91; 50 female) months of age using the gap-overlap paradigm. Median saccade latency (mdSL) and disengagement failure (DF) were computed as dependent variables for both overlap and gap conditions. Also, composite scores for a Disengagement Cost Index (DCI) and Disengagement Failure Index (DFI) were computed considering mdSL and DF of each condition, respectively. Families reported SES and chaos in the first and last follow-up sessions. Using Linear Mixed Models with Maximum Likelihood estimation (ML) we found a longitudinal decrease in mdSL in the gap but not in the overlap condition, while DF decreased with age independently of the experimental condition. Concerning early environmental factors, an SES index, parental occupation and chaos at 6 months were found to show a negative correlation with DFI at 16-18 months, although in the former case it was only marginally significant. Hierarchical regression models implementing ML showed that both SES and chaos at 6 months significantly predicted a lower DFI at 16-18 months. Results show a longitudinal progression of endogenous orienting between infancy and toddlerhood. With age, an increased endogenous control of orienting is displayed in contexts where visual disengagement is facilitated. Visual orienting involving attention disengagement in contexts of visual competition do not show changes with age. Moreover, these attentional mechanisms of endogenous control seem to be modulated by early experiences of the individual with the environment.
Collapse
Affiliation(s)
- Sebastián Moyano
- Department of Experimental Psychology, University of Granada, Granada, Spain; Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain.
| | - Josué Rico-Picó
- Department of Experimental Psychology, University of Granada, Granada, Spain; Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
| | - Ángela Conejero
- Department of Developmental & Educational Psychology, University of Granada, Granada, Spain; Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
| | - Ángela Hoyo
- Department of Experimental Psychology, University of Granada, Granada, Spain; Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
| | | | - M Rosario Rueda
- Department of Experimental Psychology, University of Granada, Granada, Spain; Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
| |
Collapse
|
20
|
The spatial extent of focused attention modulates attentional disengagement. PSYCHOLOGICAL RESEARCH 2022; 87:1520-1536. [PMID: 36264511 DOI: 10.1007/s00426-022-01747-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 09/22/2022] [Indexed: 10/24/2022]
Abstract
Attention can be flexibly changed to optimize visual processing: it can be oriented, resized, or even divided. Although much is known about these processes individually, much less is known about how they interact with one another. In the present study we examined how the spatial extent of the attentional focus modulates the efficiency of the first component of attentional orienting, the disengagement of attention. To this end, we used abrupt-onset stimuli of different sizes to trigger the reflexive resizing of the attentional focus (Castiello and Umiltà in Acta Psychol 73:195-209, 1990), combined with a gap task to assess the efficiency of attentional disengagement (Mackeben and Nakayama in Vis Res 33:85-90, 1993). The results of five experiments showed that the magnitude of the gap effect is significantly greater when the scope of attention is small than when it is large, indicating that disengaging attention is delayed when attention is highly focused. Furthermore, these findings highlight that different aspects of attentional control interact with one another, emphasizing the importance of studying them in conjunction.
Collapse
|
21
|
Gliga T, Skolnick A, Liersch U, Charman T, Johnson MH, Bedford R. Investigating the Mechanisms Driving Referent Selection and Retention in Toddlers at Typical and Elevated Likelihood for Autism Spectrum Disorder. JOURNAL OF CHILD LANGUAGE 2022; 49:1024-1036. [PMID: 34227462 DOI: 10.1017/s0305000921000416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
It was suggested that children's referent selection may not lay memory traces sufficiently strong to lead to retention of new word-object mappings. If this was the case we expect incorrect selections to be easily rectified through feedback. Previous work suggested this to be the case in toddlers at typical likelihood (TL) but not in those at elevated likelihood (EL) for autism spectrum disorder (ASD) (Bedford et al., ). Yet group differences in lexical knowledge may have confounded these findings. Here, TL (N = 29) and EL toddlers (N = 75) chose one of two unfamiliar objects as a referent for a new word. Both groups retained the word-referent mapping above chance when their choices were immediately reinforced but were at chance after corrective feedback. The same pattern of results was obtained when children observed another experimenter make the initial referent choice. Thus, children's referent choices lay memory traces that compete with subsequent correction; these strong word-object associations are not a result of children actively choosing potential referents for new words.
Collapse
Affiliation(s)
- Teodora Gliga
- Department of Psychology, University of East Anglia, Norwich, United Kingdom
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Alex Skolnick
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Ute Liersch
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Mark H Johnson
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Rachael Bedford
- Child and Adolescent Psychiatry Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
- Department of Psychology, University of Bath, United Kingdom
| |
Collapse
|
22
|
Edwards AD, Rueckert D, Smith SM, Abo Seada S, Alansary A, Almalbis J, Allsop J, Andersson J, Arichi T, Arulkumaran S, Bastiani M, Batalle D, Baxter L, Bozek J, Braithwaite E, Brandon J, Carney O, Chew A, Christiaens D, Chung R, Colford K, Cordero-Grande L, Counsell SJ, Cullen H, Cupitt J, Curtis C, Davidson A, Deprez M, Dillon L, Dimitrakopoulou K, Dimitrova R, Duff E, Falconer S, Farahibozorg SR, Fitzgibbon SP, Gao J, Gaspar A, Harper N, Harrison SJ, Hughes EJ, Hutter J, Jenkinson M, Jbabdi S, Jones E, Karolis V, Kyriakopoulou V, Lenz G, Makropoulos A, Malik S, Mason L, Mortari F, Nosarti C, Nunes RG, O’Keeffe C, O’Muircheartaigh J, Patel H, Passerat-Palmbach J, Pietsch M, Price AN, Robinson EC, Rutherford MA, Schuh A, Sotiropoulos S, Steinweg J, Teixeira RPAG, Tenev T, Tournier JD, Tusor N, Uus A, Vecchiato K, Williams LZJ, Wright R, Wurie J, Hajnal JV. The Developing Human Connectome Project Neonatal Data Release. Front Neurosci 2022; 16:886772. [PMID: 35677357 PMCID: PMC9169090 DOI: 10.3389/fnins.2022.886772] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/19/2022] [Indexed: 11/24/2022] Open
Abstract
The Developing Human Connectome Project has created a large open science resource which provides researchers with data for investigating typical and atypical brain development across the perinatal period. It has collected 1228 multimodal magnetic resonance imaging (MRI) brain datasets from 1173 fetal and/or neonatal participants, together with collateral demographic, clinical, family, neurocognitive and genomic data from 1173 participants, together with collateral demographic, clinical, family, neurocognitive and genomic data. All subjects were studied in utero and/or soon after birth on a single MRI scanner using specially developed scanning sequences which included novel motion-tolerant imaging methods. Imaging data are complemented by rich demographic, clinical, neurodevelopmental, and genomic information. The project is now releasing a large set of neonatal data; fetal data will be described and released separately. This release includes scans from 783 infants of whom: 583 were healthy infants born at term; as well as preterm infants; and infants at high risk of atypical neurocognitive development. Many infants were imaged more than once to provide longitudinal data, and the total number of datasets being released is 887. We now describe the dHCP image acquisition and processing protocols, summarize the available imaging and collateral data, and provide information on how the data can be accessed.
Collapse
Affiliation(s)
- A. David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
- Institute for AI and Informatics in Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stephen M. Smith
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Samy Abo Seada
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Amir Alansary
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Jennifer Almalbis
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Joanna Allsop
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jesper Andersson
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Tomoki Arichi
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
| | - Sophie Arulkumaran
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Matteo Bastiani
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Sir Peter Mansfield Imaging Centre, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Dafnis Batalle
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Luke Baxter
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Jelena Bozek
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
| | - Eleanor Braithwaite
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
| | - Jacqueline Brandon
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Olivia Carney
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Andrew Chew
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Daan Christiaens
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium
| | - Raymond Chung
- BioResource Centre, NIHR Biomedical Research Centre, South London and Maudsley NHS Trust, London, United Kingdom
| | - Kathleen Colford
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Lucilio Cordero-Grande
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid and CIBER-BBN, Madrid, Spain
| | - Serena J. Counsell
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Harriet Cullen
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King’s College London, London, United Kingdom
| | - John Cupitt
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Charles Curtis
- BioResource Centre, NIHR Biomedical Research Centre, South London and Maudsley NHS Trust, London, United Kingdom
| | - Alice Davidson
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Maria Deprez
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Louise Dillon
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Konstantina Dimitrakopoulou
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Translational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London, London, United Kingdom
| | - Ralica Dimitrova
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Eugene Duff
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Shona Falconer
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Seyedeh-Rezvan Farahibozorg
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Sean P. Fitzgibbon
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Jianliang Gao
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Andreia Gaspar
- Institute for Systems and Robotics (ISR-Lisboa)/LaRSyS, Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Nicholas Harper
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Sam J. Harrison
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Emer J. Hughes
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Mark Jenkinson
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Emily Jones
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
| | - Vyacheslav Karolis
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Vanessa Kyriakopoulou
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Gregor Lenz
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Antonios Makropoulos
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Shaihan Malik
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Luke Mason
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
| | - Filippo Mortari
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Chiara Nosarti
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Rita G. Nunes
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Institute for Systems and Robotics (ISR-Lisboa)/LaRSyS, Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Camilla O’Keeffe
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jonathan O’Muircheartaigh
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Hamel Patel
- BioResource Centre, NIHR Biomedical Research Centre, South London and Maudsley NHS Trust, London, United Kingdom
| | - Jonathan Passerat-Palmbach
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Maximillian Pietsch
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Anthony N. Price
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Emma C. Robinson
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Mary A. Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Andreas Schuh
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Stamatios Sotiropoulos
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Sir Peter Mansfield Imaging Centre, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Johannes Steinweg
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Rui Pedro Azeredo Gomes Teixeira
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Tencho Tenev
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Jacques-Donald Tournier
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Nora Tusor
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Alena Uus
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Katy Vecchiato
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Logan Z. J. Williams
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Robert Wright
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Julia Wurie
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Joseph V. Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| |
Collapse
|
23
|
Kulke L, Brümmer L, Pooresmaeili A, Schacht A. Visual competition attenuates emotion effects during overt attention shifts. Psychophysiology 2022; 59:e14087. [PMID: 35543490 DOI: 10.1111/psyp.14087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 03/11/2022] [Accepted: 03/11/2022] [Indexed: 11/29/2022]
Abstract
Numerous different objects are simultaneously visible in a person's visual field, competing for attention. This competition has been shown to affect eye-movements and early neural responses toward stimuli, while the role of a stimulus' emotional meaning for mechanisms of overt attention shifts under competition is unclear. The current study combined EEG and eye-tracking to investigate effects of competition and emotional content on overt shifts of attention to human face stimuli. Competition prolonged the latency of the P1 component and of saccades, while faces showing emotional expressions elicited an early posterior negativity (EPN). Remarkably, the emotion-related modulation of the EPN was attenuated when two stimuli were competing for attention compared to non-competition. In contrast, no interaction effects of emotional expression and competition were observed on other event-related potentials. This finding indicates that competition can decelerate attention shifts in general and also diminish the emotion-driven attention capture, measured through the smaller effects of emotional expression on EPN amplitude. Reduction of the brain's responsiveness to emotional content in the presence of distractors contradicts models that postulate fully automatic processing of emotions.
Collapse
Affiliation(s)
- Louisa Kulke
- Neurocognitive Developmental Psychology, Friedrich-Alexander-Universität Erlangen Nürnberg, Erlangen, Germany.,Affective Neuroscience and Psychophysiology, Georg-August-Universität Göttingen, Göttingen, Germany.,Leibniz ScienceCampus Primate Cognition, Göttingen, Germany
| | - Lena Brümmer
- Affective Neuroscience and Psychophysiology, Georg-August-Universität Göttingen, Göttingen, Germany
| | - Arezoo Pooresmaeili
- Leibniz ScienceCampus Primate Cognition, Göttingen, Germany.,Perception and Cognition Group, European Neuroscience Institute Göttingen, Göttingen, Germany
| | - Annekathrin Schacht
- Affective Neuroscience and Psychophysiology, Georg-August-Universität Göttingen, Göttingen, Germany.,Leibniz ScienceCampus Primate Cognition, Göttingen, Germany
| |
Collapse
|
24
|
Palomo R, Ozonoff S, Young GS, Belinchón Carmona M. Social orienting and initiated joint attention behaviors in 9 to 12 month old children with autism spectrum disorder: A family home movies study. Autism Res 2022; 15:1109-1119. [PMID: 35229983 DOI: 10.1002/aur.2695] [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: 07/23/2021] [Revised: 01/14/2022] [Accepted: 02/14/2022] [Indexed: 11/06/2022]
Abstract
According to the Social Motivation model children with autism show deficits in social orienting (looking at faces and responding to name) at the end of their first year of life. In this model, those deficits are both the earliest behavioral consequences of an alteration in the dopamine reward system balance and the foundation of the social impairments that characterize this neurodevelopmental disorder. The current study tests two of the main predictions of this model: that social orienting deficits are the first behavioral manifestation of autism, and that they are developmentally related to joint attention deficits. We retrospectively analyzed family home movies of 9- to 12-month-old infants, 29 of whom were later diagnosed with autism and 16 of whom were typically developing. After confirming that the videotapes of both groups were similar in content of the scenes recorded (contexts, type of social activity, etc.), we compared their social orienting (social gaze and responding to name) and joint attention behaviors (gaze alternation and gestures). No significant differences between groups were found in looking at faces, but the group with autism showed deficits in responding to name and initiations of joint attention (IJA). Looking at people was not significantly correlated with IJA behaviors, but response to name was. The lack of group differences in looking at faces between 9 and 12 months, and the existence of IJA difficulties in the ASD group without concurrent impairment in looking at faces, do not support predictions of the Social Motivation model. LAY SUMMARY: Various theories have been proposed to explain the emergence of autism symptoms early in life. This study tested two key predictions of the Social Motivation model. Comparing family movies of children 9- to 12-months-old later diagnosed with autism or with typical development, we did not observe difficulties in looking at other people's faces but children with autism responded to name and used gaze and gestures to direct the adult's attention to events of interest less frequently. This absence of difficulties in looking at faces does not fit with what the Social Motivation model of autism predicts and therefore we must develop alternative explanations.
Collapse
Affiliation(s)
- Rubén Palomo
- Departamento de Psicología Básica, Universidad Autónoma de Madrid, Madrid, Spain
| | - Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, UC Davis MIND Institute, California, USA
| | - Gregory S Young
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, UC Davis MIND Institute, California, USA
| | | |
Collapse
|
25
|
Pudło M, Pisula E. Efficiency of attentional processes in attention network theory and autistic symptoms in adolescents with autism spectrum disorder. Front Psychiatry 2022; 13:950245. [PMID: 36311533 PMCID: PMC9614655 DOI: 10.3389/fpsyt.2022.950245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Attentional impairments in children with Autism Spectrum Disorder (ASD) have been studied extensively, particularly in toddlers and young children. Attentional processes in teenagers with ASD are not fully understood, nor are the relationships between attentional deficits and ASD symptoms in this group. METHOD The aim of this study was to measure the attentional characteristics that attention network theory posits as being related to attention processes: alerting, orientating, and executive attention. We included 37 adolescents (aged 12-20) with ASD and Wechsler IQ in the normal range (≥70) and 37 neurotypical counterparts (NT) matched in terms of age, gender, and IQ. Symptoms of ASD were measured using the Autism Diagnostic Observation Schedule - Second Edition (ADOS-2) and Autism Diagnostic Interview - Revised (ADI-R). RESULTS The adolescents with ASD reacted more slowly in all task conditions of the Attention Network Test and committed more errors in six of seven task conditions of this test. There were no group differences in the effects of alerting, orienting, and executive attention. We found moderate correlations of the effect of executive attention with three scales of ADOS-2 (communication, social functioning, and restricted behavior), as well as with the social scale and restricted behavior of ADI-R. CONCLUSION The results indicate that adolescents with ASD performed tasks requiring alerting and orienting attention less efficiently than their counterparts in terms of correctness and reaction time. The relationships between executive attention measures and communication and social affect is discussed.
Collapse
Affiliation(s)
- Monika Pudło
- Department of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland
| | - Ewa Pisula
- Faculty of Psychology, University of Warsaw, Warsaw, Poland
| |
Collapse
|
26
|
Kulke L, Pasqualette L. Emotional content influences eye-movements under natural but not under instructed conditions. Cogn Emot 2021; 36:332-344. [PMID: 34886742 DOI: 10.1080/02699931.2021.2009446] [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] [Indexed: 10/19/2022]
Abstract
ABSTRACTIn everyday life, people can freely decide if and where they would like to move their attention and gaze, often influenced by physical and emotional salience of stimuli. However, many laboratory paradigms explicitly instruct participants when and how to move their eyes, leading to unnatural instructed eye-movements. The current preregistered study compared eye-movements to peripherally appearing faces with happy, angry and neutral expressions under natural and instructed conditions. Participants reliably moved their eyes towards peripheral faces, even when they were not instructed to do so; however, eye-movements were significantly slower under natural than under instructed conditions. Competing central stimuli decelerated eye-movements independently of instructions. Unexpectedly, the emotional salience only affected eye-movements under natural conditions, with faster saccades towards emotional than towards neutral faces. No effects of emotional expression occurred when participants were instructed to move their eyes. The study shows that natural eye-movements significantly differ from instructed eye-movements and emotion-driven attention effects are reduced when participants are artificially instructed to move their eyes, suggesting that research should investigate eye-movements under natural conditions.
Collapse
Affiliation(s)
- Louisa Kulke
- Neurocognitive Developmental Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Germany
| | - Laura Pasqualette
- Neurocognitive Developmental Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Germany
| |
Collapse
|
27
|
Pitzianti M, Fagioli S, Pontis M, Pasini A. Attention Deficits Influence the Development of Motor Abnormalities in High Functioning Autism. Child Psychiatry Hum Dev 2021; 52:1131-1142. [PMID: 33145671 PMCID: PMC8528792 DOI: 10.1007/s10578-020-01088-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/18/2020] [Indexed: 11/27/2022]
Abstract
Early attentional dysfunction is one of the most consistent findings in autism spectrum disorder (ASD), including the high functioning autism (HFA). There are no studies that assess how the atypical attentional processes affect the motor functioning in HFA. In this study, we evaluated attentional and motor functioning in a sample of 15 drug-naive patients with HFA and 15 healthy children (HC), and possible link between attentional dysfunction and motor impairment in HFA. Compared to HC, HFA group was seriously impaired in a considerable number of attentional processes and showed a greater number of motor abnormalities. Significant correlations between attention deficits and motor abnormalities were observed in HFA group. These preliminary findings suggest that deficit of attentional processes can be implied in motor abnormalities in HFA.
Collapse
Affiliation(s)
- Mariabernarda Pitzianti
- Unit of Child Neurology and Psychiatry, Department of Systems Medicine, "Tor Vergata" University, Via Montpellier 1, 00133, Rome, Italy
- Child Neuropsychiatry, USL Umbria-2, Viale VIII Marzo, 05100, Terni, Italy
| | - Sabrina Fagioli
- Department of Education, University of "Roma Tre", Via del Castro Pretorio 20, 00185, Rome, Italy.
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Via Ardeatina 306, 00179, Rome, Italy.
| | - Marco Pontis
- Comprehensive Rehabilitation Center Ctr Asl 8, Cagliari, Italy
| | - Augusto Pasini
- Unit of Child Neurology and Psychiatry, Department of Systems Medicine, "Tor Vergata" University, Via Montpellier 1, 00133, Rome, Italy
- Child Neuropsychiatry, USL Umbria-2, Viale VIII Marzo, 05100, Terni, Italy
| |
Collapse
|
28
|
Amestoy A, Guillaud E, Bucchioni G, Zalla T, Umbricht D, Chatham C, Murtagh L, Houenou J, Delorme R, Moal MLL, Leboyer M, Bouvard M, Cazalets JR. Visual attention and inhibitory control in children, teenagers and adults with autism without intellectual disability: results of oculomotor tasks from a 2-year longitudinal follow-up study (InFoR). Mol Autism 2021; 12:71. [PMID: 34774105 PMCID: PMC8590241 DOI: 10.1186/s13229-021-00474-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 10/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Inhibitory control and attention processing atypicalities are implicated in various diseases, including autism spectrum disorders (ASD). These cognitive functions can be tested by using visually guided saccade-based paradigms in children, adolescents and adults to determine the time course of such disorders. METHODS In this study, using Gap, Step, Overlap and Antisaccade tasks, we analyzed the oculomotor behavior of 82 children, teenagers and adults with high functioning ASD and their peer typically developing (TD) controls in a two-year follow-up study under the auspices of the InFoR-Autism project. Analysis of correlations between oculomotors task measurements and diagnostic assessment of attentional (ADHD-RS and ADHD comorbidity indices) and executive functioning (BRIEF scales) were conducted in order to evaluate their relationship with the oculomotor performance of participants with ASD. RESULTS As indicated by the presence of a Gap and Overlap effects in all age groups, the oculomotor performances of ASD participants showed a preserved capability in overt attention switching. In contrast, the difference in performances of ASD participants in the Antisaccade task, compared to their TD peers, indicated an atypical development of inhibition and executive functions. From correlation analysis between our oculomotor data and ADHD comorbidity index, and scores of attention and executive function difficulties, our findings support the hypothesis that a specific dysfunction of inhibition skills occurs in ASD participants that is independent of the presence of ADHD comorbidity. LIMITATIONS These include the relatively small sample size of the ASD group over the study's two-year period, the absence of an ADHD-only control group and the evaluation of a TD control group solely at the study's inception. CONCLUSIONS Children and teenagers with ASD have greater difficulty in attention switching and inhibiting prepotent stimuli. Adults with ASD can overcome these difficulties, but, similar to teenagers and children with ASD, they make more erroneous and anticipatory saccades and display a greater trial-to-trial variability in all oculomotor tasks compared to their peers. Our results are indicative of a developmental delay in the maturation of executive and attentional functioning in ASD and of a specific impairment in inhibitory control.
Collapse
Affiliation(s)
- Anouck Amestoy
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France. .,Fondation FondaMental, Créteil, France. .,centre hospitalier Charles-Perrens, Pôle universitaire de psychiatrie de l'enfant et de l'adolescent, 121, rue de la Béchade, CS 81285, 33076, Bordeaux Cedex, France.
| | - Etienne Guillaud
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France
| | - Giulia Bucchioni
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France.,iBrain, UMR 1253 Inserm, Université de Tours, 2 Boulevard Tonnellé, 37044, Tours Cedex, France
| | | | - Daniel Umbricht
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Christopher Chatham
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Lorraine Murtagh
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070, Basel, Switzerland
| | - Josselin Houenou
- Fondation FondaMental, Créteil, France.,NeuroSpin, UNIACT Lab, Equipe de psychiatrie, Commissariat à l'énergie atomique, Saclay, Gif-sur-Yvette, France
| | - Richard Delorme
- Fondation FondaMental, Créteil, France.,Institut Pasteur, Paris, France.,AP-HP, DMU IMPACT, Psychiatry and Addictology Department, Mondor University Hospital, Université Paris Est Créteil, Créteil, France
| | - Myriam Ly-Le Moal
- Institut Roche, Tour horizons- Bureau 18M3, Roche S.A.S., 30, cours de l'île Seguin, 92650, Boulogne-Billancourt, France
| | - Marion Leboyer
- Laboratoire de NeuroPsychiatrie translationnelle, INSERM, U955, IMRB, Créteil, France.,Fondation FondaMental, Créteil, France.,AP-HP, DMU IMPACT, Psychiatry and Addictology Department, Mondor University Hospital, Université Paris Est Créteil, Créteil, France
| | - Manuel Bouvard
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France.,Fondation FondaMental, Créteil, France.,centre hospitalier Charles-Perrens, Pôle universitaire de psychiatrie de l'enfant et de l'adolescent, 121, rue de la Béchade, CS 81285, 33076, Bordeaux Cedex, France
| | - Jean-René Cazalets
- CNRS, Aquitaine Institute for Cognitive and Integrative Neuroscience, INCIA, UMR 5287, Université de Bordeaux, 33000, Bordeaux, France
| |
Collapse
|
29
|
Del Bianco T, Mason L, Charman T, Tillman J, Loth E, Hayward H, Shic F, Buitelaar J, Johnson MH, Jones EJH. Temporal Profiles of Social Attention Are Different Across Development in Autistic and Neurotypical People. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:813-824. [PMID: 33191160 DOI: 10.1016/j.bpsc.2020.09.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 08/11/2020] [Accepted: 09/01/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Sociocommunicative difficulties, including abnormalities in eye contact, are core diagnostic features of autism spectrum disorder (ASD). Many studies have used eye tracking to measure reduced attention to faces in autistic people; however, most of this work has not taken advantage of eye-tracking temporal resolution to examine temporal profiles of attention. METHODS We used growth curve analysis to model attention to static social scenes as a function of time in a large (N = 650) sample of autistic participants and neurotypical participants across a wide age range (6-30 years). RESULTS The model yielded distinct temporal profiles of attention to faces in the groups. Initially, both groups showed a relatively high probability of attending to faces, followed by decline after several seconds. The neurotypical participants, however, were significantly more likely to return their attention to faces in the latter part of each 20-second trial, with increasing probability with age. In contrast, the probability of returning to the face in the autistic participants remained low across development. In participants with ASD, more atypical profiles of attention were associated with lower Vineland Adaptive Behavior Scales communication scores and a higher curvature in one data-driven cluster correlated with symptom severity. CONCLUSIONS These findings show that social attention not only is reduced in ASD, but also differs in its temporal dynamics. The neurotypical participants became more sophisticated in how they deployed their social attention across age, a pattern that was significantly reduced in the participants with ASD, possibly reflecting delayed acquisition of social expertise.
Collapse
Affiliation(s)
- Teresa Del Bianco
- Centre of Brain and Cognitive Development, Birkbeck College, University of London, London, United Kingdom.
| | - Luke Mason
- Centre of Brain and Cognitive Development, Birkbeck College, University of London, London, United Kingdom
| | - Tony Charman
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Julian Tillman
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Eva Loth
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Hannah Hayward
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Frederick Shic
- Department of Pediatrics, School of Medicine, University of Washington, Seattle, Washington
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Mark H Johnson
- Centre of Brain and Cognitive Development, Birkbeck College, University of London, London, United Kingdom; Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Emily J H Jones
- Centre of Brain and Cognitive Development, Birkbeck College, University of London, London, United Kingdom
| |
Collapse
|
30
|
In Prototypical Autism, the Genetic Ability to Learn Language Is Triggered by Structured Information, Not Only by Exposure to Oral Language. Genes (Basel) 2021; 12:genes12081112. [PMID: 34440286 PMCID: PMC8391732 DOI: 10.3390/genes12081112] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/24/2021] [Accepted: 07/19/2021] [Indexed: 12/24/2022] Open
Abstract
What does the way that autistic individuals bypass, learn, and eventually master language tell us about humans’ genetically encoded linguistic ability? In this theoretical review, we argue that autistic non-social acquisition of language and autistic savant abilities provide a strong argument for an innate, human-specific orientation towards (and mastery of) complex embedded structures. Autistic non-social language learning may represent a widening of the material processed during development beyond oral language. The structure detection and manipulation and generative production of non-linguistic embedded and chained material (savant abilities in calendar calculation, musical composition, musical interpretation, and three-dimensional drawing) may thus represent an application of such innate mechanisms to non-standard materials. Typical language learning through exposure to the child’s mother tongue may represent but one of many possible achievements of the same capacity. The deviation from typical language development in autism may ultimately allow access to oral language, sometimes in its most elaborate forms, and also explain the possibility of the absence of its development when applied exclusively to non-linguistic structured material. Such an extension of human capacities beyond or in parallel to their usual limits call into question what we consider to be specific or expected in humans and therefore does not necessarily represent a genetic “error”. Regardless of the adaptive success or failure of non-social language learning, it is the duty of science and ethical principles to strive to maintain autism as a human potentiality to further foster our vision of a plural society.
Collapse
|
31
|
Developmental Paths to Anxiety in an Autism-Enriched Infant Cohort: The Role of Temperamental Reactivity and Regulation. J Autism Dev Disord 2021; 51:2631-2645. [PMID: 33037563 PMCID: PMC8254725 DOI: 10.1007/s10803-020-04734-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The aim of this study was to explore the associations between temperamental reactivity and regulation and the emergence of anxiety traits in a longitudinal sample of infants enriched for later ASD. Parents of 143 infants who were at high- and low-risk for ASD rated their child’s temperament traits when they were 9, 15 and 24 months old; they rated anxiety and ASD traits when they were 36 months old. The findings suggest that behavioural inhibition may be an early predictor of later anxiety in children with and without ASD and that lower levels of effortful control in children who later develop ASD may contribute to the higher expression of anxiety within this population.
Collapse
|
32
|
Behavioural Measures of Infant Activity but Not Attention Associate with Later Preschool ADHD Traits. Brain Sci 2021; 11:brainsci11050524. [PMID: 33919004 PMCID: PMC8143002 DOI: 10.3390/brainsci11050524] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 11/16/2022] Open
Abstract
Mapping infant neurocognitive differences that precede later ADHD-related behaviours is critical for designing early interventions. In this study, we investigated (1) group differences in a battery of measures assessing aspects of attention and activity level in infants with and without a family history of ADHD or related conditions (ASD), and (2) longitudinal associations between the infant measures and preschool ADHD traits at 3 years. Participants (N = 151) were infants with or without an elevated likelihood for ADHD (due to a family history of ADHD and/or ASD). A multi-method assessment protocol was used to assess infant attention and activity level at 10 months of age that included behavioural, cognitive, physiological and neural measures. Preschool ADHD traits were measured at 3 years of age using the Child Behaviour Checklist (CBCL) and the Child Behaviour Questionnaire (CBQ). Across a broad range of measures, we found no significant group differences in attention or activity level at 10 months between infants with and without a family history of ADHD or ASD. However, parent and observer ratings of infant activity level at 10 months were positively associated with later preschool ADHD traits at 3 years. Observable behavioural differences in activity level (but not attention) may be apparent from infancy in children who later develop elevated preschool ADHD traits.
Collapse
|
33
|
Canu D, Van der Paelt S, Canal-Bedia R, Posada M, Vanvuchelen M, Roeyers H. Early non-social behavioural indicators of autism spectrum disorder (ASD) in siblings at elevated likelihood for ASD: a systematic review. Eur Child Adolesc Psychiatry 2021; 30:497-538. [PMID: 32088859 PMCID: PMC8041710 DOI: 10.1007/s00787-020-01487-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 01/31/2020] [Indexed: 12/19/2022]
Abstract
We aimed at identifying early non-social behavioural indicators that predict later ASD. Likewise, we were interested in the moment in which non-social signs discriminate between children at elevated likelihood for ASD with a later diagnosis of ASD, and children at elevated likelihood for ASD with a typical developmental outcome. In addition, we intended to explore the developmental evolution of children's symptomatology over time. A systematic literature search was conducted for longitudinal studies on early non-social behavioural indicators among siblings at elevated likelihood for ASD. The following databases were searched: PUBMED, Web of Science, PsycINFO, CINAHL and EMBASE. The study identification process was conducted by two reviewers independently. Compared to siblings at elevated likelihood for ASD with a typical developmental outcome, siblings at elevated likelihood for ASD with later ASD show impairments in attention disengagement, in gross and fine motor development and characteristic restricted and repetitive interests and behaviours, starting at 12 months of age. Moreover, early attention disengagement exerts a predictive role towards a later ASD diagnosis, given that from 12 months siblings at elevated likelihood for ASD who will receive an independent ASD diagnosis towards 24-36 months present marked difficulties in disengaging in comparison with siblings at elevated likelihood for ASD that will not satisfy the criteria for an ASD diagnosis. The findings call for a more comprehensive vision on early indicators of ASD. Further research is needed to extend results to other behavioural domains.
Collapse
Affiliation(s)
- Daniela Canu
- Faculty of Rehabilitation Sciences, Rehabilitation Research Center (REVAL), Hasselt Unversity, Agoralaan, Building A, 3590 Diepenbeek, Hasselt, Belgium.
- Research in Developmental Disorders Lab, Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
- Clinic for Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Sara Van der Paelt
- Research in Developmental Disorders Lab, Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Ricardo Canal-Bedia
- Instituto Universitario de Integración en la Comunidad (INICO), University of Salamanca, Salamanca, Spain
| | - Manuel Posada
- Institute of Rare Diseases Research & CIBERER, Instituto de Salud Carlos III, Madrid, Spain
| | - Marleen Vanvuchelen
- Faculty of Rehabilitation Sciences, Rehabilitation Research Center (REVAL), Hasselt Unversity, Agoralaan, Building A, 3590 Diepenbeek, Hasselt, Belgium
| | - Herbert Roeyers
- Research in Developmental Disorders Lab, Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| |
Collapse
|
34
|
Gui A, Bussu G, Tye C, Elsabbagh M, Pasco G, Charman T, Johnson MH, Jones EJH. Attentive brain states in infants with and without later autism. Transl Psychiatry 2021; 11:196. [PMID: 33785730 PMCID: PMC8009890 DOI: 10.1038/s41398-021-01315-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 02/17/2021] [Accepted: 02/24/2021] [Indexed: 02/01/2023] Open
Abstract
Early difficulties in engaging attentive brain states in social settings could affect learning and have cascading effects on social development. We investigated this possibility using multichannel electroencephalography during a face/non-face paradigm in 8-month-old infants with (FH, n = 91) and without (noFH, n = 40) a family history of autism spectrum disorder (ASD). An event-related potential component reflecting attention engagement, the Nc, was compared between FH infants who received a diagnosis of ASD at 3 years of age (FH-ASD; n = 19), FH infants who did not (FH-noASD; n = 72) and noFH infants (who also did not, hereafter noFH-noASD; n = 40). 'Prototypical' microstates during social attention were extracted from the noFH-noASD group and examined in relation to later categorical and dimensional outcome. Machine-learning was used to identify the microstate features that best predicted ASD and social adaptive skills at three years. Results suggested that whilst measures of brain state timing were related to categorical ASD outcome, brain state strength was related to dimensional measures of social functioning. Specifically, the FH-ASD group showed shorter Nc latency relative to other groups, and duration of the attentive microstate responses to faces was informative for categorical outcome prediction. Reduced Nc amplitude difference between faces with direct gaze and a non-social control stimulus and strength of the attentive microstate to faces contributed to the prediction of dimensional variation in social skills. Taken together, this provides consistent evidence that atypical attention engagement precedes the emergence of difficulties in socialization and indicates that using the spatio-temporal characteristics of whole-brain activation to define brain states in infancy provides an important new approach to understanding of the neurodevelopmental mechanisms that lead to ASD.
Collapse
Affiliation(s)
- Anna Gui
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, Malet Street, London, WC1E 7HX, UK.
| | - Giorgia Bussu
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Charlotte Tye
- Department of Child & Adolescent Psychiatry & Department of Psychology, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Mayada Elsabbagh
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC, H3A 2B4, Canada
| | - Greg Pasco
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Mark H Johnson
- Department of Psychology, Cambridge University, Downing Street, Cambridge, CB2 3EB, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, Malet Street, London, WC1E 7HX, UK.
| |
Collapse
|
35
|
Yurkovic JR, Lisandrelli G, Shaffer RC, Dominick KC, Pedapati EV, Erickson CA, Kennedy DP, Yu C. Using head-mounted eye tracking to examine visual and manual exploration during naturalistic toy play in children with and without autism spectrum disorder. Sci Rep 2021; 11:3578. [PMID: 33574367 PMCID: PMC7878779 DOI: 10.1038/s41598-021-81102-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 12/22/2020] [Indexed: 11/18/2022] Open
Abstract
Multimodal exploration of objects during toy play is important for a child's development and is suggested to be abnormal in children with autism spectrum disorder (ASD) due to either atypical attention or atypical action. However, little is known about how children with ASD coordinate their visual attention and manual actions during toy play. The current study aims to understand if and in what ways children with ASD generate exploratory behaviors to toys in natural, unconstrained contexts by utilizing head-mounted eye tracking to quantify moment-by-moment attention. We found no differences in how 24- to 48-mo children with and without ASD distribute their visual attention, generate manual action, or coordinate their visual and manual behaviors during toy play with a parent. Our findings suggest an intact ability and willingness of children with ASD to explore toys and suggest that context is important when studying child behavior.
Collapse
Affiliation(s)
- Julia R Yurkovic
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47401, USA.
| | - Grace Lisandrelli
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47401, USA
| | - Rebecca C Shaffer
- Department of Pediatrics, Cincinnati Children's Hospital, Cincinnati, OH, 45229, USA
- School of Medicine, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Kelli C Dominick
- Department of Psychiatry and Behavioral Neuroscience, Cincinnati Children's Hospital, Cincinnati, OH, 45229, USA
- School of Medicine, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Ernest V Pedapati
- Department of Psychiatry and Behavioral Neuroscience, Cincinnati Children's Hospital, Cincinnati, OH, 45229, USA
- School of Medicine, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Craig A Erickson
- Department of Psychiatry and Behavioral Neuroscience, Cincinnati Children's Hospital, Cincinnati, OH, 45229, USA
- School of Medicine, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Daniel P Kennedy
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47401, USA.
| | - Chen Yu
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47401, USA.
- Department of Psychological and Brain Sciences, University of Texas at Austin, Austin, Texas, 78712, USA.
| |
Collapse
|
36
|
Longitudinal touchscreen use across early development is associated with faster exogenous and reduced endogenous attention control. Sci Rep 2021; 11:2205. [PMID: 33500502 PMCID: PMC7838402 DOI: 10.1038/s41598-021-81775-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 12/16/2020] [Indexed: 11/08/2022] Open
Abstract
Childhood screen time is associated with both attentional difficulties (for television viewing) and benefits (in action video gamers), but few studies have investigated today’s pervasive touchscreen devices (e.g. smartphones and tablets), which combine salient features, interactive content, and accessibility from toddlerhood (a peak period of cognitive development). We tested exogenous and endogenous attention, following forty children who were stable high (HU) or low (LU) touchscreen users from toddlerhood to pre-school. HUs were slower to disengage attention, relative to their faster baseline orienting ability. In an infant anti-saccade task, HUs displayed more of a corrective strategy of orienting faster to distractors before anticipating the target. Results suggest that long-term high exposure to touchscreen devices is associated with faster exogenous attention and concomitant decreases in endogenous attention control. Future work is required to demonstrate causality, dissociate variants of use, and investigate how attention behaviours found in screen-based contexts translate to real-world settings.
Collapse
|
37
|
Zivan M, Morag I, Yarmolovsky J, Geva R. Hyper-Reactivity to Salience Limits Social Interaction Among Infants Born Pre-term and Infant Siblings of Children With ASD. Front Psychiatry 2021; 12:646838. [PMID: 34054606 PMCID: PMC8160104 DOI: 10.3389/fpsyt.2021.646838] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 04/12/2021] [Indexed: 12/13/2022] Open
Abstract
The ability to engage attention with selected stimuli is essential for infants to explore the world and process information relating to their surroundings. There are two main populations with a higher risk to develop attentional and social deficits whose deficits may arise from difficulties in regulating attention to salient cues: (1) siblings of children diagnosed with Autism; and (2) infants who were born pre-term. This study investigated infants' (N = 97) attention-engagement and pupil-dilation (PD) at 9 months of age, using a gaze-contingent paradigm and a structured social interaction. Specifically, we explored attention to stimuli with simple salient features (e.g., clear defined shapes, colors, and motions) vs. more complex non-social cues (amorphous shapes, colors, and motions) and social interaction in typically developing infants (TD, N = 25) and among two groups of infants at-risk to develop social difficulties (pre-terms, N = 56; siblings of children with Autism, N = 16). Findings show that the two risk groups preferred stimuli with simple features (F = 11.306, p < 0.001), accompanied by increased PD (F = 6.6, p < 0.001). Specifically, pre-term infants showed increased PD toward simple vs. complex stimuli (p < 0.001), while siblings showed a pervasive hyper-arousal to both simple and complex stimuli. Infants in the TD group preferred complex stimuli with no change in PD. Finally, the preference for the simple stimulus mediated the relationship between increased risk for social difficulties and decreased engagement duration in face-to-face interaction with the experimenter. Results suggest that activation of the attention-salience network shapes social abilities at infancy. Further, hyper-reactivity to salient stimuli limits social interaction among infants born pre-term and siblings of children with ASD.
Collapse
Affiliation(s)
- Michal Zivan
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel
| | - Iris Morag
- Assaf Harofeh Medical Center, Zerifin, Israel.,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jessica Yarmolovsky
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel.,The Department of Psychology, Bar Ilan University, Ramat Gan, Israel
| | - Ronny Geva
- The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel.,The Department of Psychology, Bar Ilan University, Ramat Gan, Israel
| |
Collapse
|
38
|
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: 2.2] [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.
Collapse
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
| |
Collapse
|
39
|
Wagner JB, Keehn B, Tager-Flusberg H, Nelson CA. Attentional bias to fearful faces in infants at high risk for autism spectrum disorder. Emotion 2020; 20:980-992. [PMID: 31355652 PMCID: PMC6986980 DOI: 10.1037/emo0000628] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Individuals with autism spectrum disorder (ASD) and their first-degree relatives show differences from neurotypical individuals in emotional face processing. Prospective studies of infant siblings of children with ASD, a group at high risk for autism (HRA), allow researchers to examine the early emergence of these differences. This study used eye tracking to examine disengagement of attention from emotional faces (fearful, happy, neutral) at 6, 9, and 12 months in low-risk control infants (LRC) and HRA infants who received a subsequent clinical judgment of ASD (HRA+) or non-ASD (HRA-). Infants saw centrally presented faces followed by a peripheral distractor (with face remaining present). For each emotion, latency to shift to the distractor and percentage of trials with no shift were calculated. Results showed increased saccadic latency and a greater percentage of no-shift trials for fearful faces. No between-group differences were present for emotion; however, there was an interaction between age and group for disengagement latency, with HRA+ infants slower to shift at 12 months compared with the other 2 groups. Exploratory correlational analyses looking at shift biases to fearful faces alongside measures of social behavior at 12 and 18 months (from the Communication and Symbolic Behavior Scales) revealed that for HRA+ infants, 9- and 12-month fear biases were significantly related to 12- and 18-month social abilities, respectively. This work suggests that both low- and high-risk infants show biases to threat-relevant faces, and that for HRA+, differences in attention shifting emerge with age, and a stronger fear bias could potentially relate to less social difficulty. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Collapse
Affiliation(s)
- Jennifer B. Wagner
- College of Staten Island, City University of New York, 2800 Victory Blvd, Staten Island, NY 10314, USA
- The Graduate Center, City University of New York, 365 5 Avenue, New York, NY 10016, USA
| | - Brandon Keehn
- Purdue University, Lyles-Porter Hall, 715 Clinic Drive, West Lafayette, IN 47907, USA
| | | | - Charles A. Nelson
- Boston Children’s Hospital/Harvard Medical School, 1 Autumn St, Boston, MA 02215, USA
- Harvard Graduate School of Education, 13 Appian Way, Cambridge, MA 02138, USA
| |
Collapse
|
40
|
Whittingham K, McGlade A, Kulasinghe K, Mitchell AE, Heussler H, Boyd RN. ENACT (ENvironmental enrichment for infants; parenting with Acceptance and Commitment Therapy): a randomised controlled trial of an innovative intervention for infants at risk of autism spectrum disorder. BMJ Open 2020; 10:e034315. [PMID: 32819928 PMCID: PMC7440709 DOI: 10.1136/bmjopen-2019-034315] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 05/04/2020] [Accepted: 06/08/2020] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition with impacts on behaviour, cognition, communication, social interaction and family mental health. This paper reports the protocol of a randomised controlled trial (RCT) of a very early intervention, ENACT (ENvironmental enrichment for infants; parenting with Acceptance and Commitment Therapy), for families of infants at risk of ASD. METHODS AND ANALYSIS We aim to recruit 66 mothers of infants at risk of ASD (ie, infants with a sibling or parent diagnosed with ASD) to this RCT. Families will be randomly assigned to care-as-usual or ENACT. ENACT is a very early intervention, leveraging parent-child interactions to improve early social reciprocity, while supporting parental mental health and the parent-child relationship through Acceptance and Commitment Therapy. Intervention content is delivered online (approximately 8 hours) and supported by more than 7 consultations with a clinician. Parents will perform the social reciprocity intervention with their child (30 min per day). Assessments at four time points (baseline, 3 months, 6 months, and 12 months corrected age) will assess parent-infant interaction, parental mental health, infant development and early ASD markers. Analysis will be by intention to treat using general linear models for RCTs. ETHICS AND DISSEMINATION This protocol has been approved by the Children's Health Queensland Hospital and Health Service Human Research Ethics Committee (HREC/19/QCHQ/50131) and the University of Queensland Human Research Ethics Committee (2019000558). If efficacy is demonstrated, the intervention has the potential for wide and accessible dissemination. TRIAL REGISTRATION NUMBER Australian New Zealand Clinical Trials Registry (ACTRN12618002046280).
Collapse
Affiliation(s)
- Koa Whittingham
- Queensland Cerebral Palsy and Rehabilitation Research Centre, UQ Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Andrea McGlade
- Queensland Cerebral Palsy and Rehabilitation Research Centre, UQ Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Kavindri Kulasinghe
- Queensland Cerebral Palsy and Rehabilitation Research Centre, UQ Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Amy E Mitchell
- Queensland Cerebral Palsy and Rehabilitation Research Centre, UQ Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Honey Heussler
- Mater Medical Research Institute, South Brisbane, Queensland, Australia
| | - Roslyn N Boyd
- Queensland Cerebral Palsy and Rehabilitation Research Centre, UQ Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| |
Collapse
|
41
|
Language Growth in Young Children with Autism: Interactions Between Language Production and Social Communication. J Autism Dev Disord 2020; 51:644-665. [PMID: 32588273 DOI: 10.1007/s10803-020-04576-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Young children with autism spectrum disorder (ASD) present with a broad range of spoken language abilities, as well as delays in precursor skills such as gesture production and joint attention skills. While standardized assessments describe language strengths, the Communication and Symbolic Behavior Scales (CSBS-DP) is a particularly robust measure as it additionally characterizes precise aspects of social communication. This study provides a unique contribution by assessing the interactional effects of CSBS-DP Social Composite performance with early language samples on later language outcomes. Our results indicate that multiple social communication elements significantly interact with early spoken language to predict later language. Our findings also highlight the transactional relationship between early spoken vocabulary and social communication skills that bolster language development growth.
Collapse
|
42
|
Braithwaite EK, Gui A, Jones EJH. Social attention: What is it, how can we measure it, and what can it tell us about autism and ADHD? PROGRESS IN BRAIN RESEARCH 2020; 254:271-303. [PMID: 32859292 DOI: 10.1016/bs.pbr.2020.05.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Neurodevelopmental disorders like autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) affect 2-10% of children worldwide but are still poorly understood. Prospective studies of infants with an elevated familial likelihood of ASD or ADHD can provide insight into early mechanisms that canalize development down a typical or atypical course. Such work holds potential for earlier identification and intervention to support optimal outcomes in individuals with neurodevelopmental disorders. Disrupted attention may be involved in developmental trajectories to ASD and ADHD. Specifically, altered attention to social stimuli has been suggested as a possible endophenotype of ASD, lying between genetic factors impacting brain development and later symptoms. Similarly, changes in domain-general aspects of attention are commonly seen in ADHD and emerging evidence suggests these may begin in infancy. Could these patterns point to a common risk factor for both disorders? Or does social attention reflect the activity of a particular network of brain systems that is distinct to those underpinning general attention skills? One challenge to addressing such questions is our lack of understanding of the relation between social and general attention. In this chapter we review evidence from infants with later ASD and ADHD that illuminates this question.
Collapse
Affiliation(s)
- Eleanor K Braithwaite
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Anna Gui
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom.
| |
Collapse
|
43
|
Crasta JE, Salzinger E, Lin MH, Gavin WJ, Davies PL. Sensory Processing and Attention Profiles Among Children With Sensory Processing Disorders and Autism Spectrum Disorders. Front Integr Neurosci 2020; 14:22. [PMID: 32431600 PMCID: PMC7214749 DOI: 10.3389/fnint.2020.00022] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 03/25/2020] [Indexed: 11/18/2022] Open
Abstract
This study explores the differences in the profile of relationships between sensory processing and attention abilities among children with sensory processing disorder (SPD), autism spectrum disorder (ASD), and typically developing (TD) children. The Test of Everyday Attention for Children (TEA-Ch), a performance-based measure of attention, was administered to 69 children (TD: n = 24; SPD: n = 21; ASD: n = 24), ages 6-10 years. All participants' parents completed the Short Sensory Profile (SSP), a standardized parent-report measure of sensory-related behaviors. Discriminant analyses using the TEA-Ch and the SSP domains revealed two classification functions; the first revealed that both clinical groups significantly differed from the TD group with greater sensory processing challenges in the categories of auditory filtering, under-responsive/seeks sensation, low energy/weak, and taste/smell sensitivity subscales of the SSP. The second function discriminated between the two clinical groups, indicating that children with ASD had significantly greater control and sustained attention deficits and less sensory issues than did children with SPD. Together, the two functions correctly classified 76.8% of the participants as to their group membership. The different profiles of sensory processing and attention abilities in children with SPD and ASD may provide guidance in identifying appropriate individualized therapeutic strategies for these children.
Collapse
Affiliation(s)
- Jewel E. Crasta
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
- Occupational Therapy Division, Ohio State University, Columbus, OH, United States
| | - Emily Salzinger
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
- Fairfax County Public Schools, Fairfax, VA, United States
| | - Mei-Heng Lin
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, United States
| | - William J. Gavin
- Department of Molecular, Cellular & Integrative Neuroscience, Colorado State University, Fort Collins, CO, United States
- School of Music, Theatre, and Dance, Colorado State University, Fort Collins, CO, United States
| | - Patricia L. Davies
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
- Department of Molecular, Cellular & Integrative Neuroscience, Colorado State University, Fort Collins, CO, United States
| |
Collapse
|
44
|
Kadlaskar G, Seidl A, Tager-Flusberg H, Nelson CA, Keehn B. Caregiver Touch-Speech Communication and Infant Responses in 12-Month-Olds at High Risk for Autism Spectrum Disorder. J Autism Dev Disord 2020; 50:1064-1072. [PMID: 31754946 PMCID: PMC12042276 DOI: 10.1007/s10803-019-04310-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Multimodal communication may facilitate attention in infants. This study examined the presentation of caregiver touch-only and touch + speech input to 12-month-olds at high (HRA) and low risk for ASD. Findings indicated that, although both groups received a greater number of touch + speech bouts compared to touch-only bouts, the duration of overall touch that overlapped with speech was significantly greater in the HRA group. Additionally, HRA infants were less responsive to touch-only bouts compared to touch + speech bouts suggesting that their mothers may use more touch + speech communication to elicit infant responses. Nonetheless, the exact role of touch in multimodal communication directed towards infants at high risk for ASD warrants further exploration.
Collapse
Affiliation(s)
- Girija Kadlaskar
- Department of Speech, Language and Hearing Sciences, Purdue University, West Lafayette, IN, USA.
| | - Amanda Seidl
- Department of Speech, Language and Hearing Sciences, Purdue University, West Lafayette, IN, USA
| | - Helen Tager-Flusberg
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Charles A Nelson
- Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, USA
| | - Brandon Keehn
- Department of Speech, Language and Hearing Sciences, Purdue University, West Lafayette, IN, USA
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| |
Collapse
|
45
|
Tsang T, Johnson S, Jeste S, Dapretto M. Social complexity and the early social environment affect visual social attention to faces. Autism Res 2019; 12:445-457. [PMID: 30632286 PMCID: PMC6402992 DOI: 10.1002/aur.2060] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 11/16/2018] [Accepted: 11/19/2018] [Indexed: 02/04/2023]
Abstract
Diminished attention to socially relevant information appears to be an early emerging risk factor associated with autism spectrum disorders (ASD). However, inconsistencies across studies suggest that atypicalities in visual social attention in infants at high-risk for ASD during the first postnatal year may be subtle and more apparent under certain contexts. Here we explore factors that may moderate developmental trajectories in attention to faces, including the social complexity of the dynamic visual stimuli used to measure visual social attention and the early social environment of the infant as indexed by parental affectedness of ASD-related traits. Across infants at both high (HR) and low risk for ASD, attention to faces increased during the first postnatal year, with overall greater attention being allocated to schematic faces in the simpler video stimulus. Moreover, greater parental affectedness of ASD-related traits was associated with reduced developmental gains in attention to faces. For HR infants, greater attention to faces was positively associated with social communicative competence, including better joint attention skills and lower social impairments. Altogether, our findings highlight the importance of considering developmental level when selecting stimuli to longitudinally examine visual social attention, and the clinical relevance of including measures of infant's social environment in understanding early markers of ASD risk. Autism Res 2019, 12: 445-457 © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Attention to faces is an important means for infants to learn about the social world. The complexity of the social scene and an infant's early social environment both affect the amount of time infants at high- and low-risk for ASD look at faces during the first postnatal year. For infants at high-risk for ASD, greater attention to faces was associated with better social skills. Understanding an infant's social environment may have a positive impact on social communicative development.
Collapse
Affiliation(s)
- Tawny Tsang
- Department of Psychiatry, Yale Child Study Center, New Haven, Connecticut
| | - Scott Johnson
- Department of Psychology, University of California, Los Angeles, California
| | - Shafali Jeste
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California
| | - Mirella Dapretto
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California
| |
Collapse
|
46
|
Bottema-Beutel K, Kim SY, Crowley S, Augustine A, Kecili-Kaysili B, Feldman J, Woynaroski T. The stability of joint engagement states in infant siblings of children with and without ASD: Implications for measurement practices. Autism Res 2019; 12:495-504. [PMID: 30618181 PMCID: PMC6433374 DOI: 10.1002/aur.2068] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 10/26/2018] [Accepted: 12/03/2018] [Indexed: 01/06/2023]
Abstract
Obtaining stable estimates of caregiver-child joint engagement states is of interest for researchers who study development and early intervention in young children with autism spectrum disorder (ASD). However, studies to date have offered little guidance on the numbers of sessions and coders necessary to obtain sufficiently stable estimates of these constructs. We used procedures derived from G theory to carry out a generalizability study, in which we partitioned error variance between two facets of our system for measuring joint engagement states: session and coder. A decision study was then conducted to determine the number of sessions and coders required to obtain g coefficients of 0.80, an a priori threshold set for acceptable stability. This process was conducted separately for 10 infant siblings of children with ASD (Sibs-ASD) and 10 infants whose older sibling did not have ASD (Sibs-TD), and for two different joint engagement states; lower- and higher-order supported joint engagement (LSJE and HSJE, respectively). Results indicated that, in the Sibs-ASD group, four sessions and one coder was required to obtain acceptably stable estimates for HSJE; only one session and one coder were required for LSJE. In the Sibs-TD group, two sessions and one coder were required for HSJE; seven sessions and two coders were required for LSJE. Implications for measurement in future research are discussed. Autism Res 2019, 12: 495-504 © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This study offers guidance for researchers who measure joint engagement between caregivers and infants who have an older sibling with ASD, and who have older siblings who are TD.
Collapse
Affiliation(s)
| | - So Yoon Kim
- Lynch School of Education, Boston College, Chestnut Hill, MA USA
| | - Shannon Crowley
- Lynch School of Education, Boston College, Chestnut Hill, MA USA
| | - Ashley Augustine
- Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN USA
| | - Bahar Kecili-Kaysili
- Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN USA
| | - Jacob Feldman
- Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN USA
| | - Tiffany Woynaroski
- Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN USA
| |
Collapse
|
47
|
Rose SA, Wass S, Jankowski JJ, Feldman JF, Djukic A. Impaired Visual Search in Children with Rett Syndrome. Pediatr Neurol 2019; 92:26-31. [PMID: 30573328 PMCID: PMC6397679 DOI: 10.1016/j.pediatrneurol.2018.10.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 09/29/2018] [Accepted: 10/06/2018] [Indexed: 10/28/2022]
Abstract
AIM This study aims to investigate selective attention in Rett syndrome, a severely disabling neurodevelopmental disorder caused by mutations in the X-linked MECP2 gene. METHOD The sample included 28 females with Rett syndrome (RTT) and 32 age-matched typically developing controls. We used a classic search task, in conjunction with eye-tracking technology. Each trial included the target and several distractors. The distractors varied in number and differed from targets in either a "single feature" (color or shape), creating a pop-out effect, or in a "conjunction of features" (color and shape), requiring serial search. Children searched for the target in arrays containing five or nine objects; trials ended when the target was fixated (or 4000 ms elapsed). RESULTS Children with Rett syndrome had more difficulty finding the target than typically developing children in both conditions (success rates less than 50% versus 80%) and their success rates were little influenced by display size or age. Even when successful, children with RTT took significantly longer to respond (392 to 574 ms longer), although saccadic latency differences were observed only in the single-feature condition. Both groups showed the expected slowing of saccadic reaction times for larger arrays in the conjunction-feature condition. Search failures in RTT were not related to symptom severity. CONCLUSIONS Our findings provide the first evidence that selective attention, the ability to focus on or select a particular element or object in the environment, is compromised by Rett syndrome. They reinforce the notion that gaze-based tasks hold promise for quantifying the cognitive phenotype of RTT.
Collapse
Affiliation(s)
- Susan A. Rose
- Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine/Children’s Hospital at Montefiore, Bronx, NY
| | - Sam Wass
- Department of Psychology, University of East London, London, England
| | - Jeffery J. Jankowski
- Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine/Children’s Hospital at Montefiore, Bronx, NY,Department of Social Sciences, Queensborough Community College/CUNY, United States
| | - Judith F. Feldman
- Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine/Children’s Hospital at Montefiore, Bronx, NY
| | - Aleksandra Djukic
- Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine/Children’s Hospital at Montefiore, Bronx, NY,Rett Syndrome Center, Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine/Children’s Hospital at Montefiore, Bronx, NY
| |
Collapse
|
48
|
London EB. Neuromodulation and a Reconceptualization of Autism Spectrum Disorders: Using the Locus Coeruleus Functioning as an Exemplar. Front Neurol 2018; 9:1120. [PMID: 30619071 PMCID: PMC6305710 DOI: 10.3389/fneur.2018.01120] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 12/06/2018] [Indexed: 12/27/2022] Open
Abstract
The Autism Spectrum Disorders (ASD) are a heterogeneous group of developmental disorders. Although, ASD can be reliably diagnosed, the etiology, pathophysiology, and treatment targets remain poorly characterized. While there are many atypical findings in anatomy, genetics, connectivity, and other biologic parameters, there remains no discreet hypothesis to explain the core signs as well as the very frequent comorbidities. Due to this, designing targets for treatments can only be done by assuming each symptom is a result of a discreet abnormality which is likely not the case. Neuronal circuity remains a major focus of research but rarely taking into account the functioning of the brain is highly dependent on various systems, including the neuromodulatory substances originating in the midbrain. A hypothesis is presented which explores the possibility of explaining many of the symptoms found in ASD in terms of inefficient neuromodulation using the functioning of the locus coeruleus and norepinephrine (LC/NE) as exemplars. The basic science of LC/NE is reviewed. Several functions found to be impaired in ASD including learning, attention, sensory processing, emotional regulation, autonomic functioning, adaptive and repetitive behaviors, sleep, language acquisition, initiation, and prompt dependency are examined in terms of the functioning of the LC/NE system. Suggestions about possible treatment directions are explored.
Collapse
Affiliation(s)
- Eric B. London
- Institute for Basic Research in Developmental Disabilities, Staten Island, NY, United States
| |
Collapse
|
49
|
Affiliation(s)
- Carolien Hermans
- School for Arts and Economics, University of the Arts Utrecht, Utrecht, Netherlands
| |
Collapse
|
50
|
Chinello A, Di Gangi V, Valenza E. Persistent primary reflexes affect motor acts: Potential implications for autism spectrum disorder. RESEARCH IN DEVELOPMENTAL DISABILITIES 2018; 83:287-295. [PMID: 27595468 DOI: 10.1016/j.ridd.2016.07.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2015] [Revised: 07/19/2016] [Accepted: 07/22/2016] [Indexed: 06/06/2023]
Abstract
In typical motor development progress in use of goal-directed actions and communicative gestures depends on the inhibition of several primitive reflexes, especially those that involve the hand or mouth. This study explored the relationship between the persistence of primitive reflexes that involve the hand or mouth and the motor repertoire in a sample of 12- to 17-month-old infants. Moreover, since children with Autism Spectrum Disorders (ASD) often have difficulty in performing skilled movements and show poor gesture repertoire, and since ASD represents the upper extreme of a constellation of traits that may be continuously distributed in the general population, we investigated the relationship between the persistence of primitive reflexes in the same sample of infants and the subclinical autistic traits measured in their parents. Results revealed that the persistence of the primitive reflexes correlated with motor repertoire irrespective of infant's age, and it was greater among infants whose parents had more subclinical autistic traits. Our findings suggest that the persistence of primitive reflexes might alter the developmental trajectory of future motor ability and therefore their evaluation might be an early indicator of atypical development.
Collapse
Affiliation(s)
- Alice Chinello
- Physiotherapist at ULSS 16 - Unità Locale Socio Sanitaria, Padova, Italy
| | - Valentina Di Gangi
- Department of Developmental Psychology and Socialization, University of Padua, Italy
| | - Eloisa Valenza
- Department of Developmental Psychology and Socialization, University of Padua, Italy.
| |
Collapse
|