Publications by authors named "Simon Baron Cohen"

Background: Sex differences in human brain anatomy have been well-documented, though remain significantly underexplored during early development. The neonatal period is a critical stage for brain development and can provide key insights into the role that prenatal and early postnatal factors play in shaping sex differences in the brain.

Methods: Here, we assessed on-average sex differences in global and regional brain volumes in 514 newborns aged 0-28 days (236 birth-assigned females and 278 birth-assigned males) using data from the developing Human Connectome Project.

View Article and Find Full Text PDF

The terminology used in discussions on mental state attribution is extensive and lacks consistency. In the current paper, experts from various disciplines collaborate to introduce a shared set of concepts and make recommendations regarding future use.

View Article and Find Full Text PDF

Although the first signs of autism are often observed as early as 18-36 months of age, there is a broad uncertainty regarding future development, and clinicians lack predictive tools to identify those who will later be diagnosed with co-occurring intellectual disability (ID). Here, we developed predictive models of ID in autistic children (n=5,633 from three cohorts), integrating different classes of genetic variants alongside developmental milestones. The integrated model yielded an AUC ROC=0.

View Article and Find Full Text PDF
Article Synopsis
  • There is increasing awareness that signs of autism can emerge beyond the first three years of life, raising questions about the impact of age at diagnosis on developmental trajectories.
  • Research using data from four birth cohorts reveals two distinct socio-emotional behavior patterns linked to the age when autism is diagnosed.
  • The study also finds that the age at diagnosis has a heritable component and is related to genetic factors, suggesting a complex relationship between autism, the timing of diagnosis, and co-occurring conditions like ADHD and mental health issues.
View Article and Find Full Text PDF
Article Synopsis
  • Autism and ADHD are complex neurodevelopmental disorders with overlapping features, but they are rarely studied together, especially regarding sex differences.
  • The study utilized a large neuroimaging dataset to analyze cortical anatomy linked to autism and ADHD, revealing specific patterns in brain structure for each condition.
  • Findings showed that autism presented with greater cortical thickness in specific areas, while ADHD had more global increases in thickness but lower volume and surface area; also, unique patterns were observed in individuals with both conditions.
View Article and Find Full Text PDF

Sex differences are widespread during neurodevelopment and play a role in neuropsychiatric conditions such as autism, which is more prevalent in males than females. In humans, males have been shown to have larger brain volumes than females with development of the hippocampus and amygdala showing prominent sex differences. Mechanistically, sex steroids and sex chromosomes drive these differences in brain development, which seem to peak during prenatal and pubertal stages.

View Article and Find Full Text PDF

Background: Do autistic people share the same moral foundations as typical people? Here we built on two prominent theories in psychology, moral foundations theory and the empathizing-systemizing (E-S) theory, to observe the nature of morality in autistic people and systemizers.

Methods: In dataset 1, we measured five foundations of moral judgements (Care, Fairness, Loyalty, Authority, and Sanctity) measured by the Moral Foundations Questionnaire (MFQ) in autistic (n = 307) and typical people (n = 415) along with their scores on the Empathy Quotient (EQ) and Systemizing Quotient (SQ). In dataset 2, we measured these same five foundations along with E-S cognitive types (previously referred to as "brain types") in a large sample of typical people (N = 7595).

View Article and Find Full Text PDF

Background: The underlying neurobiology of the complex autism phenotype remains obscure, although accumulating evidence implicates the serotonin system and especially the 5HT receptor. However, previous research has largely relied upon association or correlation studies to link differences in serotonin targets to autism. To directly establish that serotonergic signalling is involved in a candidate brain function our approach is to change it and observe a shift in that function.

View Article and Find Full Text PDF
Article Synopsis
  • - Genetic variants linked to autism appear to impact brain structure and function, potentially affecting cognition and behavior, as shown by differences in the brains of individuals with autism.
  • - A study analyzing neuroimaging and genetic data from nearly 36,000 individuals found a strong negative association between common genetic variants for autism and neurite density (the volume of neural processes) in both children and adults.
  • - Although the research demonstrated a link between autism-related genetic variants and changes in brain structure, it did not establish a causal relationship, suggesting the need for further investigation with larger studies.
View Article and Find Full Text PDF

Structural magnetic resonance imaging (MRI) quality is known to impact and bias neuroanatomical estimates and downstream analysis, including case-control comparisons, and a growing body of work has demonstrated the importance of careful quality control (QC) and evaluated the impact of image and image-processing quality. However, the growing size of typical neuroimaging datasets presents an additional challenge to QC, which is typically extremely time and labour intensive. One of the most important aspects of MRI quality is the accuracy of processed outputs, which have been shown to impact estimated neurodevelopmental trajectories.

View Article and Find Full Text PDF

Background: Structural differences exist in the brains of autistic individuals. To date only a few studies have explored the relationship between fetal brain growth and later infant autistic traits, and some have used fetal head circumference (HC) as a proxy for brain development. These findings have been inconsistent.

View Article and Find Full Text PDF

We developed a Dutch questionnaire called the Autistic Women's Experience (AWE) and compared its psychometric properties to the Autism Spectrum Quotient (AQ). Whilst attenuated gender differences on the AQ have been widely replicated, this instrument may not fully capture the unique experience of autistic women. The AWE was co-developed with autistic women to include items that reflect autistic women's experience.

View Article and Find Full Text PDF

Background: Autism and attention deficit hyperactivity disorder (ADHD) are heterogeneous neurodevelopmental conditions with complex underlying neurobiology. Despite overlapping presentation and sex-biased prevalence, autism and ADHD are rarely studied together, and sex differences are often overlooked. Normative modelling provides a unified framework for studying age-specific and sex-specific divergences in neurodivergent brain development.

View Article and Find Full Text PDF
Article Synopsis
  • - The study found a strong link between mothers' autistic traits and their children's autistic traits across different ages, with significant correlations observed in toddlers, young children, and adolescents.
  • - Higher pre-pregnancy body mass index (BMI) in mothers was related to increased autistic traits in children, but this effect didn't change the relationship between maternal and child autistic traits.
  • - The research indicates that both underweight and overweight mothers have children with higher autistic trait scores compared to mothers with a healthy weight, suggesting weight may influence this association.
View Article and Find Full Text PDF

This study examined whether autistic people with siblings score higher on measures of empathy than those without siblings. Cohorts of autistic children (n = 939; mean age = 7.35 years (SD = 2.

View Article and Find Full Text PDF

Autistic individuals are more likely than non-autistic individuals to experience a mental health condition in their lifetime, and this includes externalising and internalising symptoms. We know very little about how different environments and family conditions impact these symptoms for autistic individuals. Improving our understanding of these relationships is important so that we can identify individuals who may be in greater need of support.

View Article and Find Full Text PDF

Social cognition has a broad theoretical definition, which includes the ability to mentalise, i.e., recognise and infer mental states to explain and predict another's behaviour.

View Article and Find Full Text PDF
Article Synopsis
  • This study investigates the health disparities between autistic and non-autistic adults, aiming to determine if autistic individuals experience higher levels of non-communicable health conditions and what factors may contribute to this.
  • Utilizing a cross-sectional survey of over 2,300 participants, researchers collected data on demographics, health conditions, and lifestyle factors, applying statistical methods to analyze the prevalence of health issues across both groups.
  • Results indicate that autistic adults have significantly higher rates of various non-communicable health conditions, affecting multiple organ systems, suggesting an urgent need for improved healthcare support and understanding of these health challenges within the autistic community.
View Article and Find Full Text PDF

Autism presents with significant phenotypic and neuroanatomical heterogeneity, and neuroimaging studies of the thalamus, globus pallidus and striatum in autism have produced inconsistent and contradictory results. These structures are critical mediators of functions known to be atypical in autism, including sensory gating and motor function. We examined both volumetric and fine-grained localized shape differences in autism using a large (=3145, 1045-1318 after strict quality control), cross-sectional dataset of T1-weighted structural MRI scans from 32 sites, including both males and females (assigned-at-birth).

View Article and Find Full Text PDF

Neuroimaging analyses of brain structure and function in autism have typically been conducted in isolation, missing the sensitivity gains of linking data across modalities. Here we focus on the integration of structural and functional organisational properties of brain regions. We aim to identify novel brain-organisation phenotypes of autism.

View Article and Find Full Text PDF
Article Synopsis
  • The study examined the genetic basis of various structural features of the human cerebral cortex using data from over 36,000 individuals and identified 4,349 significant genetic locations linked to cortical traits.
  • Researchers explored 13 different phenotypes, including thickness, surface area, and water diffusion, and found four genetic structures that suggest different developmental gene expression paths.
  • The findings highlight complex relationships among the identified phenotypes and suggest that genetic variants related to cortical expansion may also be linked to certain head disorders, emphasizing the genetic organization of the cortex and its developmental implications.
View Article and Find Full Text PDF

Trial Registration: This study was registered with the German Clinical Trials Register - Deutschen Register Klinischer Studien (DRKS) on 23 December 2018. The Trial Registration Number (TRN) is DRKS00016506.

Lay Abstract: App is an intervention programme with 15 animated episodes that teach emotion recognition skills to autistic children between 4 and 6 years of age.

View Article and Find Full Text PDF

A PHP Error was encountered

Severity: Warning

Message: fopen(/var/lib/php/sessions/ci_sessionqb9oii903m2977f2hur4b7ec86ob68o9): Failed to open stream: No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 177

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Failed to read session data: user (path: /var/lib/php/sessions)

Filename: Session/Session.php

Line Number: 137

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once