Tag: sensorimotor skills

Categories : Mental HealthTags :

Differences in Object Grasping may Offer Simpler Diagnosis for Autism

On By ModernMedia
Photo by Peter Burdon on Unsplash

Getting a timely diagnosis of autism spectrum disorder is a major challenge, but new research out of York University shows that how young adults, and potentially children, grasp objects could offer a simpler way to diagnose someone on the autism spectrum.

The team, part of an international collaboration, used machine learning to analyse naturalistic hand movements – specifically, finger motions during grasping – in autistic and non-autistic individuals. Surprisingly, none of the simpler measures, such as time to grasp (reported to be slower in autistic adults), proved to be a reliable predictor.

“Our models were able to classify autism with approximately 85 per cent accuracy, suggesting this approach could potentially offer simpler, scalable tools for diagnosis,” says lead author, Associate Professor Erez Freud of York’s Department of Psychology and the Centre for Vision Research.

“Autism currently affects about one in 50 Canadian children, and timely, accessible diagnosis remains a major challenge. Our findings add to the growing body of research suggesting that subtle motor patterns may provide valuable diagnostic signals – something not yet widely leveraged in clinical practice.”

In addition to social and communication challenges, autism, a neurodevelopmental disorder, can include motor abnormalities which often show up in early childhood. The researchers say testing for these motor movements early could lead to faster diagnoses and intervention.

“The main behaviours markers for diagnosis are focused on those with relatively late onset and the motor markers that can be captured very early in childhood may thus lower age of diagnosis,” says Professor Batsheva Hadad of the University of Haifa, an expert in autism research and a key collaborator in this study.

Autistic and non-autistic young adult participants were asked to use their thumbs and index fingers, which had tracking markers attached, to grasp different blocks of varying size, lift each one and replace it in the same spot, and put their hand back in the starting position. The researchers used machine learning to analyse the participants’ finger movements as they made grasping motions.

Both groups of participants had normal IQ and were matched on age and intelligence. Young adults were used instead of children to rule out any differences in the findings due to delayed development.

The research found that subtle motor control differences can be captured effectively with more than 84% accuracy. The study also showed there were distinct kinematic properties in the grasping movements between autistic and non-autistic participants.

Analysis of naturalistic precision grasping tasks has not typically been used in previous studies, says Freud. Machine learning, however, provides researchers with a powerful new tool to analyse motor patterns, opening new ways to use movement data in the assessment of autism spectrum disorder.

The findings, says Freud, could lead to the development of more accessible and reliable diagnostic tools as well as timely intervention and support that could improve outcomes for autistic individuals in the future.

The paper, Effective autism classification through grasping kinematics, was published in the journal Autism Research.

Source: York University

Categories : Neurology PaediatricsTags :

Early Sensorimotor Skill Differences can Guide Autism Diagnosis

On By ModernMedia
Photo by Helena Lopes on Unsplash

New research published in the journal iSCIENCE has revealed new insights into early sensorimotor features and cognitive abilities of toddlers who are later diagnosed with Autism Spectrum Disorder (ASD). The research, led by Kristina Denisova, a professor of Psychology and Neuroscience at the CUNY Graduate Center and Queens College, takes an important step toward better understanding ASD so that more precise, individually tailored interventions can be developed.

ASD, typically diagnosed around the ages of 4 to 5 years, is a neurodevelopmental disorder with complex and varied presentations, including atypical communication and restrictive and repetitive patterns of behaviour. Moreover, cognitive abilities are often lower in individuals with ASD. Despite the established link between lower intelligence quotient (IQ) in infancy and a future diagnosis of ASD, not all children with ASD exhibit lower cognitive abilities during infancy. The study addresses the critical gap in knowledge regarding the early features that differentiate children with varying cognitive abilities who later develop ASD.

The research team investigated the relationship between movement and cognitive abilities in toddlers before their ASD diagnosis, both during sleep and wakefulness. The study posed two key questions: Do ASD children with lower IQ exhibit altered movement during sleep compared to children with higher IQ? Additionally, are lower motor skills during wakefulness characteristic of lower-IQ children with ASD compared to those of higher-IQ ASD toddlers?

The research was conducted in two stages. In the first sample, the team examined sensorimotor features obtained from sleep functional magnetic resonance imaging (fMRI) in 111 toddlers with ASD. In the second, independent sample, they analysed sensorimotor functioning during wakefulness in over 1000 toddlers with ASD, categorised by lower vs higher cognitive abilities.

The findings revealed that toddlers with ASD and lower IQs have significantly altered sensorimotor features compared to toddlers with ASD and higher IQs. Interestingly, the sensorimotor features of higher-IQ ASD toddlers were nearly indistinguishable from typically developing (TD) toddlers. This suggests that a higher IQ may confer resilience to atypical sensorimotor functioning, and conversely, that poor sensorimotor functioning may be a key marker for lower IQ in childhood autism.

Moreover, the study found that lower-IQ ASD toddlers consistently exhibited lower gross motor skills across various age milestones (6, 12, 18, 24, and 30 months). This disruption in early sensorimotor learning during critical developmental periods indicates a potential vulnerability in the brain’s motor control circuitry, associated with lower cognitive abilities in toddlers who later receive an ASD diagnosis.

“The implications of these findings are far-reaching,” said Denisova. “They underscore the need for more precise, tailored interventions for children with ASD, particularly those with lower cognitive abilities. Interventions for lower-IQ autistic children may need to focus on enhancing both sensorimotor and cognitive skills, while interventions for higher-IQ autistic children might prioritise leveraging their strengths to mitigate potential mental health consequences.”

Denisova emphasised the importance of future research in this area, particularly involving underserved families who face barriers in accessing early intervention services.

Source: The Graduate Center, CUNY