Gaze and social functioning associations in autism spectrum disorder: A systematic review and <scp>meta‐analysis</scp>

Riddiford, Jacqueline Anne; Enticott, Peter G.; Lavale, Alex; Gurvich, Caroline

doi:10.1002/aur.2729

Cited by 24 publications

(11 citation statements)

References 187 publications

(316 reference statements)

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“…We also compared both groups in regard to their brain responses to the unisensory auditory and visual conditions. We expected altered responses to the visual stimulus on the basis of ample evidence for decreased brain responses in ASD to human faces (Kuno‐Fujita et al, 2020; Nomi & Uddin, 2015; Pierce et al, 2001; Riddiford et al, 2022) and biological motion (Blake et al, 2003; Federici et al, 2020; Foglia et al, 2022; Klin et al, 2009; Knight et al, 2022; Van der Hallen et al, 2019) as well as speechreading (Iarocci et al, 2010; Schelinski et al, 2014; Smith & Bennetto, 2007). We also expected that previous findings of deficits in more general language (Vogindroukas et al, 2022) and social cognitive functions (Castelli et al, 2002; Misra, 2014; Oliver et al, 2021) would manifest in regions associated with auditory and semantic processing and social cognition.…”

Section: Discussionmentioning

confidence: 99%

“…However, the absence of hemodynamic differences remains remarkable given the corpus of studies showing differences in brain responses to social stimuli (Misra, 2014; Patriquin et al, 2016; Sperdin et al, 2018). One such difference often reported in the literature is that of impaired face processing in ASD (see Riddiford et al, 2022) for a review. Face perception is a complex process involving multiple brain systems from predominantly visual sensory and perceptual processes to a broader system involving emotional evaluation, person identity (memory) and social cognition (Haxby et al, 2000).…”

Section: Discussionmentioning

confidence: 99%

“…While we expected to find between group differences in the auditory alone condition, we did not formulate more specific hypotheses in regard to cortical location due to several factors: The complexity of our naturalistic auditory stimulus, the fact that in ASD abnormalities have been reported across the auditory processing hierarchy from early sensory (Chen et al, 2020; Key & D'Ambrose Slaboch, 2021; Schwartz et al, 2018) to higher order language (Vogindroukas et al, 2022) and social‐cognitive functions (Bottema‐Beutel et al, 2019; Goodwill et al, 2023; Lartseva et al, 2014; Velikonja et al, 2019); and there is the possibility of complex interactions between processing stages (Crosse et al, 2022). Similarly, neural processes underlying the analysis and integration of visual articulatory motion span multiple processing stages for most of which deficits have been reported in ASD including eye‐gaze and face processing (Kuno‐Fujita et al, 2020; Nomi & Uddin, 2015; Pierce et al, 2001; Riddiford et al, 2022) global and biological motion perception (Blake et al, 2003; Federici et al, 2020; Foglia et al, 2022; Knight et al, 2022; Van der Hallen et al, 2019) with possible downstream impacts on speechreading (Iarocci et al, 2010; Schelinski et al, 2014; Smith & Bennetto, 2007). We therefore expected to find group differences in this condition as well but could not specify locations other than regions activated by the task.…”

Section: Introductionmentioning

confidence: 99%

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Neural correlates of audiovisual narrative speech perception in children and adults on the autism spectrum: A functional magnetic resonance imaging study

Ross,

Molholm,

Butler

et al. 2024

Autism Research

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Autistic individuals show substantially reduced benefit from observing visual articulations during audiovisual speech perception, a multisensory integration deficit that is particularly relevant to social communication. This has mostly been studied using simple syllabic or word‐level stimuli and it remains unclear how altered lower‐level multisensory integration translates to the processing of more complex natural multisensory stimulus environments in autism. Here, functional neuroimaging was used to examine neural correlates of audiovisual gain (AV‐gain) in 41 autistic individuals to those of 41 age‐matched non‐autistic controls when presented with a complex audiovisual narrative. Participants were presented with continuous narration of a story in auditory‐alone, visual‐alone, and both synchronous and asynchronous audiovisual speech conditions. We hypothesized that previously identified differences in audiovisual speech processing in autism would be characterized by activation differences in brain regions well known to be associated with audiovisual enhancement in neurotypicals. However, our results did not provide evidence for altered processing of auditory alone, visual alone, audiovisual conditions or AV‐ gain in regions associated with the respective task when comparing activation patterns between groups. Instead, we found that autistic individuals responded with higher activations in mostly frontal regions where the activation to the experimental conditions was below baseline (de‐activations) in the control group. These frontal effects were observed in both unisensory and audiovisual conditions, suggesting that these altered activations were not specific to multisensory processing but reflective of more general mechanisms such as an altered disengagement of Default Mode Network processes during the observation of the language stimulus across conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Neural correlates of audiovisual narrative speech perception in children and adults on the autism spectrum: A functional magnetic resonance imaging study

Ross,

Molholm,

Butler

et al. 2024

Autism Research

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“…The management of an autistic subject requires a highly expert series of methodological criteria in order to facilitate the relationship with dentistry professionals, such as dentists and oral hygienists, psychologists or neuropsychiatrists, and pediatricians, all supporting and expert figures particularly important in helping ASD children's parents or tutors support teachers (caregivers) to oral hygiene practice ( 100 , 114 , 125 – 129 ), even considering differential habits and behaviors between males and females ( 130 ).…”

Section: Besides Oral Caries Malocclusion Bruxism Periodontal and Gin...mentioning

confidence: 99%

Insights on dental care management and prevention in children with autism spectrum disorder (ASD). What is new?

Zerman

Zotti²,

Chirumbolo³

et al. 2022

Front. Oral. Health

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Autistic subjects represent a severe concern to dentistry due to the considerable difficulty in managing their oral health, maintaining routine toothbrushing, and preventing dental and periodontal problems. The social and economic burden of managing dental care in autism spectrum disorder (ASD) children is particularly cumbersome for families and public and private health expenditure, especially when children reach the dentist following a late diagnosis with evident oral health problems. An early diagnosis of ASD helps dentists better address these children's oral health. Unfortunately, insufficient attention is paid to the training and education of general pediatricians, dentists, and dental hygienists, allowing them to get to approach the different clinical aspects of ASD. Usually, children diagnosed with ASD are scheduled for dental appointments like their neurotypical peers, whereas their needs are typically complex and personalized. Scant attention is also devoted to these patients by commercial manufacturers of dental products and devices for oral hygiene and prevention of caries and periodontal diseases, leaving parents without the support and often failing when they address the oral health of autistic children. The difficulties of oral care do not derive simply from the behavior of ASD patients, as is commonly assumed, and therefore cannot be overcome solely by the patience and attention of parents and dentists. Genetics, dietary habits, sensory impairments, and cognition disorders are other causes contributing in various degrees to the impact on the mood and psychological reactions of autistic children towards dentists. How can we prevent teeth caries, periodontal disorders, and other oral health impairments by properly managing ASD children? This manuscript gives an up-to-date overview of these problems and helps to provide good remarks.

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“…Autism spectrum disorder (ASD) refers to a range of neurodevelopmental conditions characterized by social impairment, language difficulty, abnormal behavior, etc. [ 1 , 2 , 3 , 4 ]. Without timely and effective treatment, children with ASD tend to suffer from lifelong physical and mental health problems [ 5 , 6 ], resulting in a considerable burden on their families and society.…”

Section: Introductionmentioning

confidence: 99%

Fusing Multiview Functional Brain Networks by Joint Embedding for Brain Disease Identification

Wang

Zhang

et al. 2023

JPM

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Background: Functional brain networks (FBNs) derived from resting-state functional MRI (rs-fMRI) have shown great potential in identifying brain disorders, such as autistic spectrum disorder (ASD). Therefore, many FBN estimation methods have been proposed in recent years. Most existing methods only model the functional connections between brain regions of interest (ROIs) from a single view (e.g., by estimating FBNs through a specific strategy), failing to capture the complex interactions among ROIs in the brain. Methods: To address this problem, we propose fusion of multiview FBNs through joint embedding, which can make full use of the common information of multiview FBNs estimated by different strategies. More specifically, we first stack the adjacency matrices of FBNs estimated by different methods into a tensor and use tensor factorization to learn the joint embedding (i.e., a common factor of all FBNs) for each ROI. Then, we use Pearson’s correlation to calculate the connections between each embedded ROI in order to reconstruct a new FBN. Results: Experimental results obtained on the public ABIDE dataset with rs-fMRI data reveal that our method is superior to several state-of-the-art methods in automated ASD diagnosis. Moreover, by exploring FBN “features” that contributed most to ASD identification, we discovered potential biomarkers for ASD diagnosis. The proposed framework achieves an accuracy of 74.46%, which is generally better than the compared individual FBN methods. In addition, our method achieves the best performance compared to other multinetwork methods, i.e., an accuracy improvement of at least 2.72%. Conclusions: We present a multiview FBN fusion strategy through joint embedding for fMRI-based ASD identification. The proposed fusion method has an elegant theoretical explanation from the perspective of eigenvector centrality.

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Gaze and social functioning associations in autism spectrum disorder: A systematic review and meta‐analysis

Cited by 24 publications

References 187 publications

Neural correlates of audiovisual narrative speech perception in children and adults on the autism spectrum: A functional magnetic resonance imaging study

Neural correlates of audiovisual narrative speech perception in children and adults on the autism spectrum: A functional magnetic resonance imaging study

Insights on dental care management and prevention in children with autism spectrum disorder (ASD). What is new?

Fusing Multiview Functional Brain Networks by Joint Embedding for Brain Disease Identification

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