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Dimmock S, O'Donnell C, Houghton C. Bayesian analysis of phase data in EEG and MEG. eLife 2023; 12:e84602. [PMID: 37698464 PMCID: PMC10588985 DOI: 10.7554/elife.84602] [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: 10/31/2022] [Accepted: 09/11/2023] [Indexed: 09/13/2023] Open
Abstract
Electroencephalography and magnetoencephalography recordings are non-invasive and temporally precise, making them invaluable tools in the investigation of neural responses in humans. However, these recordings are noisy, both because the neuronal electrodynamics involved produces a muffled signal and because the neuronal processes of interest compete with numerous other processes, from blinking to day-dreaming. One fruitful response to this noisiness has been to use stimuli with a specific frequency and to look for the signal of interest in the response at that frequency. Typically this signal involves measuring the coherence of response phase: here, a Bayesian approach to measuring phase coherence is described. This Bayesian approach is illustrated using two examples from neurolinguistics and its properties are explored using simulated data. We suggest that the Bayesian approach is more descriptive than traditional statistical approaches because it provides an explicit, interpretable generative model of how the data arises. It is also more data-efficient: it detects stimulus-related differences for smaller participant numbers than the standard approach.
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Affiliation(s)
- Sydney Dimmock
- Faculty of Engineering, University of BristolBristolUnited Kingdom
| | - Cian O'Donnell
- Faculty of Engineering, University of BristolBristolUnited Kingdom
- School of Computing, Engineering & Intelligent Systems, Ulster UniversityDerry/LondonderryUnited Kingdom
| | - Conor Houghton
- Faculty of Engineering, University of BristolBristolUnited Kingdom
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2
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Siddique S, Sutherland CAM, Jeffery L, Swe D, Gwinn OS, Palermo R. Children show neural sensitivity to facial trustworthiness as measured by fast periodic visual stimulation. Neuropsychologia 2023; 180:108488. [PMID: 36681187 DOI: 10.1016/j.neuropsychologia.2023.108488] [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: 09/08/2022] [Revised: 11/24/2022] [Accepted: 01/16/2023] [Indexed: 01/19/2023]
Abstract
Adults exhibit neural responses over the visual occipito-temporal area in response to faces that vary in how trustworthy they appear. However, it is not yet known when a mature pattern of neural sensitivity can be seen in children. Using a fast periodic visual stimulation (FPVS) paradigm, face images were presented to 8-to-9-year-old children (an age group which shows development of trust impressions; N = 31) and adult (N = 33) participants at a rate of 6 Hz (6 face images per second). Within this sequence, an 'oddball' face differing in the level of facial trustworthiness compared to the other faces, was presented at a rate of 1 Hz (once per second). Children were sensitive to variations in facial trustworthiness, showing reliable and significant neural responses at 1 Hz in the absence of instructions to respond to facial trustworthiness. Additionally, the magnitude of children's and adults' neural responses was similar, with strong Bayesian evidence that implicit neural responses to facial trustworthiness did not differ across the groups, and therefore, that visual sensitivity to differences in facial trustworthiness can show mature patterns by this age. Thus, nine or less years of social experience, perceptual and/or cognitive development may be sufficient for adult-like neural sensitivity to facial trustworthiness to emerge. We also validate the use of the FPVS methodology to examine children's implicit face-based trust processing for the first time, which is especially valuable in developmental research because this paradigm requires no explicit instructions or responses from participants.
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Affiliation(s)
- Saba Siddique
- School of Psychological Science, University of Western Australia, 35 Stirling Hwy, Crawley, 6009, Australia.
| | - Clare A M Sutherland
- School of Psychological Science, University of Western Australia, 35 Stirling Hwy, Crawley, 6009, Australia; School of Psychology, University of Aberdeen, King's College, Aberdeen, AB24 3FX, UK.
| | - Linda Jeffery
- School of Psychological Science, University of Western Australia, 35 Stirling Hwy, Crawley, 6009, Australia; School of Population Health, Curtin University, Kent St, Bentley WA 6102, Australia.
| | - Derek Swe
- School of Psychological Science, University of Western Australia, 35 Stirling Hwy, Crawley, 6009, Australia.
| | - O Scott Gwinn
- College of Education, Psychology, and Social Work, Flinders University, Sturt Rd, Bedford Park SA 5042, Australia.
| | - Romina Palermo
- School of Psychological Science, University of Western Australia, 35 Stirling Hwy, Crawley, 6009, Australia.
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3
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Qiao Z, Van der Donck S, Moerkerke M, Dlhosova T, Vettori S, Dzhelyova M, van Winkel R, Alaerts K, Boets B. Frequency-Tagging EEG of Superimposed Social and Non-Social Visual Stimulation Streams Provides No Support for Social Salience Enhancement after Intranasal Oxytocin Administration. Brain Sci 2022; 12:brainsci12091224. [PMID: 36138960 PMCID: PMC9496939 DOI: 10.3390/brainsci12091224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/31/2022] [Accepted: 09/06/2022] [Indexed: 11/16/2022] Open
Abstract
The social salience hypothesis proposes that the neuropeptide oxytocin (OT) can impact human social behavior by modulating the salience of social cues. Here, frequency-tagging EEG was used to quantify the neural responses to social versus non-social stimuli while administering a single dose of OT (24 IU) versus placebo treatment. Specifically, two streams of faces and houses were superimposed on one another, with each stream of stimuli tagged with a particular presentation rate (i.e., 6 and 7.5 Hz or vice versa). These distinctive frequency tags allowed unambiguously disentangling and objectively quantifying the respective neural responses elicited by the different streams of stimuli. This study involved a double-blind, placebo-controlled, cross-over trial with 31 healthy adult men. Based on four trials of 60 s, we detected robust frequency-tagged neural responses in each individual, with entrainment to faces being more pronounced in lateral occipito-temporal regions and entrainment to houses being focused in medial occipital regions. However, contrary to our expectation, a single dose of OT did not modulate these stimulus-driven neural responses, not in terms of enhanced social processing nor in terms of generally enhanced information salience. Bayesian analyses formally confirmed these null findings. Possibly, the baseline ceiling level performance of these neurotypical adult participants as well as the personal irrelevance of the applied stimulation streams might have hindered the observation of any OT effect.
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Affiliation(s)
- Zhiling Qiao
- Center for Clinical Psychiatry, Department of Neuroscience, KU Leuven, 3000 Leuven, Belgium
- Correspondence:
| | - Stephanie Van der Donck
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, 3000 Leuven, Belgium
| | - Matthijs Moerkerke
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, 3000 Leuven, Belgium
| | - Tereza Dlhosova
- Department of Psychology, Faculty of Arts, Masaryk University, 60200 Brno, Czech Republic
| | - Sofie Vettori
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, 3000 Leuven, Belgium
- Institute of Cognitive Sciences Marc Jeannerod, UMR5229, CNRS, University Claude Bernard Lyon1, 69675 Bron, France
| | - Milena Dzhelyova
- Institute of Research in Psychological Sciences, Université de Louvain, 1348 Louvain-la-Neuve, Belgium
| | - Ruud van Winkel
- Center for Clinical Psychiatry, Department of Neuroscience, KU Leuven, 3000 Leuven, Belgium
- UPC, KU Leuven, 3000 Leuven, Belgium
- Department of Psychiatry and Psychology, School for Mental Health and Neuroscience, Maastricht University, 6211 Maastricht, The Netherlands
| | - Kaat Alaerts
- Leuven Autism Research (LAuRes), KU Leuven, 3000 Leuven, Belgium
- Research Group for Neurorehabilitation, Department of Rehabilitation Sciences, KU Leuven, 3000 Leuven, Belgium
| | - Bart Boets
- Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Leuven Autism Research (LAuRes), KU Leuven, 3000 Leuven, Belgium
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Van der Donck S, Moerkerke M, Dlhosova T, Vettori S, Dzhelyova M, Alaerts K, Boets B. Monitoring the effect of oxytocin on the neural sensitivity to emotional faces via frequency-tagging EEG: A double-blind, cross-over study. Psychophysiology 2022; 59:e14026. [PMID: 35150446 DOI: 10.1111/psyp.14026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 12/05/2021] [Accepted: 01/16/2022] [Indexed: 01/23/2023]
Abstract
The neuropeptide oxytocin (OXT) is suggested to exert an important role in human social behaviors by modulating the salience of social cues. To date, however, there is mixed evidence whether a single dose of OXT can improve the behavioral and neural sensitivity for emotional face processing. To overcome difficulties encountered with classic event-related potential studies assessing stimulus-saliency, we applied frequency-tagging EEG to implicitly assess the effect of a single dose of OXT (24 IU) on the neural sensitivity for positive and negative facial emotions. Neutral faces with different identities were presented at 6 Hz, periodically interleaved with an expressive face (angry, fearful, and happy, in separate sequences) every fifth image (i.e., 1.2 Hz oddball frequency). These distinctive frequency tags for neutral and expressive stimuli allowed direct and objective quantification of the neural expression-categorization responses. The study involved a double-blind, placebo-controlled, cross-over trial with 31 healthy adult men. Contrary to our expectations, we did not find an effect of OXT on facial emotion processing, neither at the neural, nor at the behavioral level. A single dose of OXT did not evoke social enhancement in general, nor did it affect social approach-avoidance tendencies. Possibly ceiling performances in facial emotion processing might have hampered further improvement.
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Affiliation(s)
- Stephanie Van der Donck
- Department of Neurosciences, Center for Developmental Psychiatry, KU Leuven, Leuven, Belgium.,Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
| | - Matthijs Moerkerke
- Department of Neurosciences, Center for Developmental Psychiatry, KU Leuven, Leuven, Belgium.,Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
| | - Tereza Dlhosova
- Department of Psychology, Faculty of Arts, Masaryk University, Brno, Czech Republic
| | - Sofie Vettori
- Department of Neurosciences, Center for Developmental Psychiatry, KU Leuven, Leuven, Belgium.,Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
| | - Milena Dzhelyova
- Institute of Research in Psychological Sciences, Université de Louvain, Louvain-La-Neuve, Belgium.,Institute of Neuroscience, Université de Louvain, Louvain-La-Neuve, Belgium
| | - Kaat Alaerts
- Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium.,Department of Rehabilitation Sciences, Neurorehabilitation Research Group, KU Leuven, Leuven, Belgium
| | - Bart Boets
- Department of Neurosciences, Center for Developmental Psychiatry, KU Leuven, Leuven, Belgium.,Leuven Autism Research (LAuRes), KU Leuven, Leuven, Belgium
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Haghighatfard A, Yaghoubi asl E, Bahadori RA, Aliabadian R, Farhadi M, Mohammadpour F, Tabrizi Z. FOXP2 down expression is associated with executive dysfunctions and electrophysiological abnormalities of brain in Autism spectrum disorder; a neuroimaging genetic study. AUTISM & DEVELOPMENTAL LANGUAGE IMPAIRMENTS 2022; 7:23969415221126391. [PMID: 36382065 PMCID: PMC9620679 DOI: 10.1177/23969415221126391] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND AND AIMS Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by language impairment, and challenges with social interaction, communication, and repetitive behaviors. Although genetics are a primary cause of ASD, the exact genes and molecular mechanisms involved in its pathogenesis are not completely clear. The FOXP2 gene encodes a transcription factor that is known for its major role in language development and severe speech problems. The present study aimed to evaluate the role of FOXP2 in ASD etiology, executive functions, and brain activities. METHODS In the present study, we recruited 450 children with ASD and 490 neurotypical control children. Three domains of executive functions (working memory, response inhibition, and vigilance) were assessed. In addition, five-minute eyes closed electroencephalography was obtained from some of the children with ASD and neurotypical children. DNA sequence and expression level of FOXP2 in blood samples of children with ASD and the control group were evaluated by using sequencing and Real-time PCR, respectively. RESULTS The results showed no mutations but a significant down expression of FOXP2 genes in children with ASD vs. neurotypical children. Several cognitive and executive function deficiencies were detected in children with ASD. Low alpha and gamma bands in the frontal lobe and high theta bands in the occipital lobe were revealed in children with ASD. We also found several correlations between FOXP2 expression levels and clinical assessments. CONCLUSIONS Our finding revealed the down expression of FOXP2, which could be considered as a biomarker for ASD as well as cognitive and executive dysfunction. Based on brain mapping data, FOXP2 may be related to the theta wave abnormality of children with ASD. FOXP2 may be considered a target of novel treatment to improve memory and executive functions. IMPLICATIONS Our findings highlight the role of FOXP2 mRNA level in ASD etiology, executive functions, and brain wave frequencies.
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Affiliation(s)
- Arvin Haghighatfard
- Arvin Haghighatfard, Department of Biology,
North Tehran Branch, Islamic Azad University, Tehran, Iran.
| | - Elham Yaghoubi asl
- Department of neuroscience, Iran University of medical
sciences, Tehran, Iran
| | | | - Rojina Aliabadian
- Department of Genetics, Faculty of Advanced
Science and Technology, Tehran Medical Sciences, Islamic Azad
University, Tehran, Iran
| | - Mahdi Farhadi
- Department of biology, science and research
Branch, Islamic Azad
University, Tehran, Iran
| | - Fatemeh Mohammadpour
- Neuroimaging genetic laboratory, Arvin Gene
Company, Tehran, Iran
- Department of biology, university of
Guilan, Rasht, Iran
| | - Zeinab Tabrizi
- Neuroimaging genetic laboratory, Arvin Gene
Company, Tehran, Iran
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Alcañiz M, Chicchi-Giglioli IA, Carrasco-Ribelles LA, Marín-Morales J, Minissi ME, Teruel-García G, Sirera M, Abad L. Eye gaze as a biomarker in the recognition of autism spectrum disorder using virtual reality and machine learning: A proof of concept for diagnosis. Autism Res 2021; 15:131-145. [PMID: 34811930 DOI: 10.1002/aur.2636] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 10/13/2021] [Accepted: 10/28/2021] [Indexed: 12/11/2022]
Abstract
The core symptoms of autism spectrum disorder (ASD) mainly relate to social communication and interactions. ASD assessment involves expert observations in neutral settings, which introduces limitations and biases related to lack of objectivity and does not capture performance in real-world settings. To overcome these limitations, advances in technologies (e.g., virtual reality) and sensors (e.g., eye-tracking tools) have been used to create realistic simulated environments and track eye movements, enriching assessments with more objective data than can be obtained via traditional measures. This study aimed to distinguish between autistic and typically developing children using visual attention behaviors through an eye-tracking paradigm in a virtual environment as a measure of attunement to and extraction of socially relevant information. The 55 children participated. Autistic children presented a higher number of frames, both overall and per scenario, and showed higher visual preferences for adults over children, as well as specific preferences for adults' rather than children's faces on which looked more at bodies. A set of multivariate supervised machine learning models were developed using recursive feature selection to recognize ASD based on extracted eye gaze features. The models achieved up to 86% accuracy (sensitivity = 91%) in recognizing autistic children. Our results should be taken as preliminary due to the relatively small sample size and the lack of an external replication dataset. However, to our knowledge, this constitutes a first proof of concept in the combined use of virtual reality, eye-tracking tools, and machine learning for ASD recognition. LAY SUMMARY: Core symptoms in children with ASD involve social communication and interaction. ASD assessment includes expert observations in neutral settings, which show limitations and biases related to lack of objectivity and do not capture performance in real settings. To overcome these limitations, this work aimed to distinguish between autistic and typically developing children in visual attention behaviors through an eye-tracking paradigm in a virtual environment as a measure of attunement to, and extraction of, socially relevant information.
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Affiliation(s)
- Mariano Alcañiz
- Instituto de Investigación e Innovación en Bioingeniería (i3B), Universitat Politécnica de Valencia, Valencia, Spain
| | - Irene Alice Chicchi-Giglioli
- Instituto de Investigación e Innovación en Bioingeniería (i3B), Universitat Politécnica de Valencia, Valencia, Spain
| | - Lucía A Carrasco-Ribelles
- Instituto de Investigación e Innovación en Bioingeniería (i3B), Universitat Politécnica de Valencia, Valencia, Spain.,Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Javier Marín-Morales
- Instituto de Investigación e Innovación en Bioingeniería (i3B), Universitat Politécnica de Valencia, Valencia, Spain
| | - Maria Eleonora Minissi
- Instituto de Investigación e Innovación en Bioingeniería (i3B), Universitat Politécnica de Valencia, Valencia, Spain
| | - Gonzalo Teruel-García
- Instituto de Investigación e Innovación en Bioingeniería (i3B), Universitat Politécnica de Valencia, Valencia, Spain
| | - Marian Sirera
- Red Cenit, Centros de Desarrollo Cognitivo, Valencia, Spain
| | - Luis Abad
- Red Cenit, Centros de Desarrollo Cognitivo, Valencia, Spain
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Vettori S, Van der Donck S, Nys J, Moors P, Van Wesemael T, Steyaert J, Rossion B, Dzhelyova M, Boets B. Combined frequency-tagging EEG and eye-tracking measures provide no support for the "excess mouth/diminished eye attention" hypothesis in autism. Mol Autism 2020; 11:94. [PMID: 33228763 PMCID: PMC7686749 DOI: 10.1186/s13229-020-00396-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 11/02/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Scanning faces is important for social interactions. Difficulty with the social use of eye contact constitutes one of the clinical symptoms of autism spectrum disorder (ASD). It has been suggested that individuals with ASD look less at the eyes and more at the mouth than typically developing (TD) individuals, possibly due to gaze aversion or gaze indifference. However, eye-tracking evidence for this hypothesis is mixed. While gaze patterns convey information about overt orienting processes, it is unclear how this is manifested at the neural level and how relative covert attention to the eyes and mouth of faces might be affected in ASD. METHODS We used frequency-tagging EEG in combination with eye tracking, while participants watched fast flickering faces for 1-min stimulation sequences. The upper and lower halves of the faces were presented at 6 Hz and 7.5 Hz or vice versa in different stimulation sequences, allowing to objectively disentangle the neural saliency of the eyes versus mouth region of a perceived face. We tested 21 boys with ASD (8-12 years old) and 21 TD control boys, matched for age and IQ. RESULTS Both groups looked longer at the eyes than the mouth, without any group difference in relative fixation duration to these features. TD boys looked significantly more to the nose, while the ASD boys looked more outside the face. EEG neural saliency data partly followed this pattern: neural responses to the upper or lower face half were not different between groups, but in the TD group, neural responses to the lower face halves were larger than responses to the upper part. Face exploration dynamics showed that TD individuals mostly maintained fixations within the same facial region, whereas individuals with ASD switched more often between the face parts. LIMITATIONS Replication in large and independent samples may be needed to validate exploratory results. CONCLUSIONS Combined eye-tracking and frequency-tagged neural responses show no support for the excess mouth/diminished eye gaze hypothesis in ASD. The more exploratory face scanning style observed in ASD might be related to their increased feature-based face processing style.
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Affiliation(s)
- Sofie Vettori
- Center for Developmental Psychiatry, Department of Neurosciences, University of Leuven (KU Leuven), Leuven, Belgium.
- Leuven Autism Research (LAuRes), University of Leuven (KU Leuven), Leuven, Belgium.
| | - Stephanie Van der Donck
- Center for Developmental Psychiatry, Department of Neurosciences, University of Leuven (KU Leuven), Leuven, Belgium
- Leuven Autism Research (LAuRes), University of Leuven (KU Leuven), Leuven, Belgium
| | - Jannes Nys
- Department of Physics and Astronomy, Ghent University, Ghent, Belgium
- IDLab - Department of Computer Science, University of Antwerp - IMEC, Antwerp, Belgium
| | - Pieter Moors
- Laboratory of Experimental Psychology, University of Leuven (KU Leuven), Leuven, Belgium
| | - Tim Van Wesemael
- Department of Electrical Engineering (ESAT), Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium
| | - Jean Steyaert
- Center for Developmental Psychiatry, Department of Neurosciences, University of Leuven (KU Leuven), Leuven, Belgium
- Leuven Autism Research (LAuRes), University of Leuven (KU Leuven), Leuven, Belgium
| | - Bruno Rossion
- Institute of Research in Psychological Science, Institute of Neuroscience, University of Louvain, Louvain-La-Neuve, Belgium
- CNRS, CRAN - UMR 7039, Université de Lorraine, 54000, Nancy, France
- CHRU-Nancy, Service de Neurologie, Université de Lorraine, 54000, Nancy, France
| | - Milena Dzhelyova
- Leuven Autism Research (LAuRes), University of Leuven (KU Leuven), Leuven, Belgium
- Institute of Research in Psychological Science, Institute of Neuroscience, University of Louvain, Louvain-La-Neuve, Belgium
| | - Bart Boets
- Center for Developmental Psychiatry, Department of Neurosciences, University of Leuven (KU Leuven), Leuven, Belgium
- Leuven Autism Research (LAuRes), University of Leuven (KU Leuven), Leuven, Belgium
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