The landscape of autism spectrum disorder (ASD) continues to evolve, with prevalence rates rising globally, thus necessitating the urgent need for effective screening and intervention strategies. In Vietnam, where autism awareness and resources may be limited, this study represents a pivotal step forward. The researchers initiated the study with a clear intent: to bridge the knowledge gap regarding autism’s early indicators while fostering an improved diagnostic framework tailored to cultural and regional nuances.

One of the critical aspects of this study is the utilization of the Vietnamese M-CHAT-R, which has been adapted from the widely recognized M-CHAT-R tool used worldwide. This adaptation ensures that the language and cultural context resonate with the local population, allowing for a more accurate assessment of developmental milestones and behavioral indicators associated with autism. The study’s authors recognize that cultural sensitivity in assessment tools can significantly influence the outcomes and overall effectiveness of early detection.

A critical finding from this research is the interplay between perinatal factors and autism risk. The study meticulously collected data on variables such as maternal health, pre-natal exposure to medication, and socio-economic factors, which play influential roles in a child’s development. By integrating machine learning techniques, the researchers were able to identify and prioritize these predictors, offering a clearer picture of what may heighten the risk for ASD in Vietnamese toddlers. This approach exemplifies a new era in which data-driven methodologies can inform healthcare practices.

The machine learning algorithms employed in the study—particularly supervised learning models—exhibited remarkable efficacy in categorizing risk levels based on the interpreted data. Such algorithms can identify patterns unnoticed by human analysis, ensuring a level of precision that is unmatched. By applying these advanced analytics, the researchers not only refined the stratification of autism risk but also provided a framework that can be scaled and adapted internationally.

Ethical considerations played a vital role throughout the study’s design and implementation, ensuring that participants’ rights and privacy were safeguarded. The research team meticulously adhered to ethical guidelines, prioritizing informed consent and transparency. Their commitment to ethical standards serves as a model for future studies, particularly in sensitive areas such as developmental disorders, where family dynamics and societal perceptions can complicate data collection.

As the research team disseminates their findings, they hope to impact policy decisions and healthcare initiatives geared towards autism awareness and intervention in Vietnam. By demonstrating the importance of early screening and the effectiveness of machine learning, they aim to encourage local healthcare providers and educators to embrace innovative solutions that facilitate timely diagnoses. Their mission is not only to improve autism detection in the present but also to enhance the quality of life for affected individuals and their families.

The implications of this study extend beyond Vietnam’s borders. The methodologies employed can serve as a blueprint for similar initiatives in low-resource settings worldwide, where traditional diagnostic pathways may be lacking. This research underscores the potential of integrating technology into public health frameworks, advocating for a future where machine learning is commonplace in the pursuit of enhanced health outcomes.

Moreover, the growing body of literature surrounding machine learning in healthcare delineates a clear trend: data combined with intelligent systems can yield transformative insights. This study adds to the dialogue by specifically addressing the intricacies of autism risk in a developing country, showcasing how local data can inform global health discussions. It stands as a testament to the fact that the intersection of culture and technology is central to fostering healthier communities.

Challenges remain, particularly concerning the resources required to implement such advanced measures at scale. While machine learning offers incredible potential, the accessibility of technology, training for healthcare professionals, and infrastructure improvements are necessary hurdles to overcome. The study advocates for the investment in such resources to ensure that innovations can translate into practice and ultimately benefit those in need of support.

In conclusion, this Vietnam-based study marks a significant milestone in autism research, utilizing machine learning to prospectively stratify risk and enhance early detection strategies. The findings emphasize the necessity of culturally relevant tools and the integration of perinatal data. For researchers, healthcare providers, and advocates of autism awareness globally, this work underscores the importance of innovation, community engagement, and ethical rigor in addressing complex health challenges.

As the research community continues to build on these findings, there is hope for a future where autism risk stratification is both effective and equitable, paving the way for more informed interventions that can profoundly impact the lives of children and families affected by autism.

Subject of Research: Autism risk stratification in toddlers using the Vietnamese M-CHAT-R and perinatal predictors.

Article Title: Machine Learning–Assisted Autism Risk Stratification in Toddlers Using the Vietnamese M-CHAT-R and Perinatal Predictors: A Cross-Sectional Study in Vietnam.

Article References: Van Vo, T., Nguyen, P.M., Nguyen, D.N. et al. Machine Learning–Assisted Autism Risk Stratification in Toddlers Using the Vietnamese M-CHAT-R and Perinatal Predictors: A Cross-Sectional Study in Vietnam.
J Autism Dev Disord (2026). https://doi.org/10.1007/s10803-026-07227-1

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s10803-026-07227-1

Keywords: autism, machine learning, risk stratification, toddlers, Vietnam, M-CHAT-R, perinatal predictors.

The growing consensus in the scientific community emphasizes the significant role that amino acids play in neural functioning and development. BCAAs, which include leucine, isoleucine, and valine, are critical not only as building blocks of proteins but also as signaling molecules that can influence metabolic pathways. In the context of ASD, alterations in the metabolism of these amino acids could signify broader disturbances in neurodevelopment. This research connects the dots between nutrient metabolism and neurological health, suggesting a more integrated view of autism that encompasses dietary and biochemical dimensions.

Moreover, excitatory amino acids, such as glutamate and aspartate, are vital neurotransmitters involved in synaptic plasticity and cognitive function. The balance of excitatory and inhibitory signals in the brain is crucial for normal neurological development. Elevated levels of excitatory amino acids have been hypothesized to contribute to the pathophysiology of various neurodevelopmental disorders, including ASD. The current study boldly ventures into uncharted waters by establishing a correlation between the severity of ASD symptoms and the concentration of these amino acids in the bloodstream. This association could potentially serve as a window into the neurochemical landscape of individuals on the autism spectrum.

The exploration of blood biomarkers ultimately underscores the importance of a holistic approach to ASD. Traditional diagnostic measures often rely on behavioral assessments, which, while critical, can miss the underlying biological anomalies that contribute to the disorder’s manifestation. By identifying specific biochemical markers, like BCAAs and EAAs, clinicians may gain a more comprehensive understanding of a patient’s condition, which could lead to tailored interventions. This study paves the way for a paradigm shift, where metabolic profiling becomes a routine part of assessing and managing autism.

Through meticulous data collection and analysis, the researchers have outlined a predictive model that may allow for early identification of individuals at greater risk of severe ASD symptoms. This model hinges on the quantification of specific amino acids in blood samples, enhancing the precision of diagnoses and potentially guiding therapeutic interventions. As researchers continue to cross-reference these biomarkers against behavioral outcomes, the hope is to elucidate how metabolic factors contribute to the variability of ASD presentations, thus enriching our understanding of this heterogeneous condition.

Additionally, the implications of this research extend beyond diagnostics to treatment strategies. With the growing recognition that nutrition can significantly impact mental health, the study advocates for a nutritional approach to managing ASD symptoms. By modulating dietary intake of certain amino acids, it might be possible to influence neurotransmitter balance in the brain, thereby alleviating some of the symptoms associated with autism. This direction in research not only provides insight into potential dietary interventions but also opens up discussions regarding the feasibility of life-long nutritional management for individuals on the spectrum.

The combination of biochemical analysis with clinical observations represents a formidable approach that promises greater insights into the etiology of ASD. The interdisciplinary nature of this research—melding biochemistry, pediatrics, and psychology—highlights the need for collaborative efforts in understanding complex disorders. Future studies will undoubtedly further explore these relationships, perhaps suggesting additional biomarkers and refining predictive models that can be utilized in clinical practice.

As findings from this study gain traction, there is an urgent need for awareness and education among healthcare practitioners. The nuanced understanding of the relationship between metabolism and autism could inform new training programs aimed at equipping professionals with knowledge about the biochemical dimensions of ASD. As medical practitioners begin to recognize the importance of metabolic health, the management of autism may become more comprehensive, integrating diet, nutrition, and lifestyle modifications into treatment protocols.

Moreover, researchers emphasize the need for larger-scale studies to validate their findings across diverse populations. The study’s relatively small sample size highlights the necessity for broader research initiatives that encompass varied demographic backgrounds, ensuring that the implications of these discoveries can be generalized across different communities. This raises crucial questions about public health strategies—how can we implement routine metabolic screenings for individuals at risk for ASD, and what role can education play in ensuring families are equipped with the knowledge they need to support their children?

In conclusion, the findings from Li, Wang, and Bi offer a promising glimpse into the potential biochemical markers that could redefine the understanding of autism spectrum disorder. By uncovering the relationships between branched-chain and excitatory amino acids and the severity of symptoms, this research not only advances our scientific knowledge but also heralds the possibility of integrating metabolic considerations into the clinical management of autism. This kind of innovative research is essential as we strive to provide better support for individuals and families affected by autism, steering them towards highly tailored and effective interventions.

As the field of autism research continues to expand and evolve, it is imperative to remain at the forefront of novel discoveries that hold the potential for transformative impact. By embracing a multifaceted perspective that includes biochemical, environmental, and genetic factors, scientists and clinicians alike can better serve the needs of those on the autism spectrum. The culmination of efforts in understanding these biochemical pathways will undoubtedly contribute to a future where autism is not only better understood but also more effectively treated, offering hope to countless individuals and families.

Subject of Research: Blood Branched-Chain and Excitatory Amino Acids and Autism Spectrum Disorder Severity

Article Title: Association and predictive value of blood branched-chain and excitatory amino acids with autism spectrum disorder severity

Article References:

Li, J., Wang, Y., Bi, L. et al. Association and predictive value of blood branched-chain and excitatory amino acids with autism spectrum disorder severity. BMC Pediatr (2026). https://doi.org/10.1186/s12887-025-06501-y

Image Credits: AI Generated

DOI: 10.1186/s12887-025-06501-y

Keywords: Autism Spectrum Disorder, Blood Amino Acids, Predictive Biomarkers, Neurodevelopmental Disorders, BCAAs, EAAs, Nutritional Interventions, Metabolic Health

This extensive analysis reveals that the global burden of autism spectrum disorder continues to rise, implicating a range of biological mechanisms that contribute to its pathogenesis. ASD affects millions globally, transcending geographic, economic, and cultural boundaries, but this paper highlights stark regional disparities in diagnosis and access to care. Understanding these inequalities is crucial because the social and economic toll of autism extends far beyond the individual, impacting families, communities, and healthcare systems worldwide.

A key component of the research involves dissecting the biological risk factors associated with ASD, leveraging recent advances in genomics, epigenetics, and neurobiology. The authors delve into genetic mutations and polymorphisms linked to neural development and synaptic function, emphasizing that autism is not driven by a single gene but by complex interactions among multiple genetic loci. They also explore how environmental exposures, particularly during critical windows of fetal and early postnatal brain development, modulate gene expression and contribute to ASD susceptibility.

One of the study’s most compelling revelations is the interaction between inherited genetic risks and epigenetic modifications. The paper describes how prenatal exposure to certain environmental insult, including inflammation, toxins, and nutritional deficiencies, may alter gene expression patterns without changing the DNA sequence—a process known as epigenetic regulation. This adds a crucial layer of complexity to ASD’s etiology, suggesting that prevention and intervention strategies might extend beyond genetic screening to environmental and maternal health optimization.

The authors also focus heavily on neuroinflammation and immune dysregulation, areas that have gained traction as potential contributors to ASD pathophysiology. Through systematic review of biomarker studies and neuroimaging data, the research emphasizes altered immune signaling pathways and chronic neuroinflammatory states observed in many individuals with ASD. These findings open potential therapeutic avenues aimed at modulating immune responses and mitigating neural damage, a significant shift away from purely behavioral therapy models that currently dominate treatment paradigms.

Importantly, the global epidemiological analysis disrupts the simplistic binary of high- versus low-income countries in ASD diagnosis, revealing nuanced patterns driven by healthcare infrastructure, awareness levels, and sociocultural factors. Regions with limited access to diagnostic services show significantly lower reported prevalence, masking potential underdiagnosis and late intervention issues. The paper calls for international collaborative frameworks to standardize ASD screening and support systems, particularly in under-resourced settings.

Saad et al. also address the multifaceted clinical implications of their findings, urging a re-evaluation of current diagnostic criteria and treatment protocols. The recognition of heterogeneity in ASD etiology and manifestation suggests that a one-size-fits-all approach is increasingly obsolete. Precision medicine approaches, integrating genetic and biomarker profiling, are proposed as the future of ASD diagnosis and personalized intervention, potentially improving outcomes through tailored therapies.

Beyond clinical impact, this research has profound public health ramifications. The authors quantify economic costs, including direct medical expenses and indirect losses related to caregiving and workforce participation. They argue that early detection and intervention, informed by a deeper understanding of biological risk factors, can significantly reduce these burdens. From a policy perspective, investment in early childhood health and screening infrastructure emerges as not just ethically imperative but economically rational.

The paper also sheds light on comorbidities frequently observed with ASD, such as epilepsy, gastrointestinal dysfunction, and anxiety disorders, proposing that shared biological pathways may underlie this comorbidity cluster. Disentangling these relationships will be critical for developing comprehensive treatment approaches that address ASD in a holistic manner, moving beyond isolated symptom management to system-wide health improvements.

Technological advancements have boosted the authors’ ability to conduct such integrative analyses. Utilization of large-scale biobanks, sophisticated machine learning algorithms, and neuroimaging modalities enabled an unprecedented synthesis of molecular, clinical, and population health data. This interdisciplinary approach reflects a new era in ASD research that transcends traditional silos and fosters broader collaboration across fields such as neurology, immunology, genetics, and epidemiology.

While the study offers hopeful directions, Saad et al. candidly discuss prevailing challenges. The difficulty in capturing the full spectrum of ASD phenotypes complicates epidemiological estimates, while ethical concerns about genetic data usage and potential stigmatization remain active debates within the community. They advocate for robust ethical frameworks and community engagement to guide future research and clinical application.

The discussion concludes by acknowledging the rapid evolution of ASD research tools and conceptual frameworks. The integration of biological insights into public health strategies and clinical systems is poised to transform how society understands and manages autism. The potential to unravel early-life mechanisms and intervene proactively could redefine trajectories for millions, offering a new paradigm where autism support prioritizes both individual diversity and shared biological roots.

This seminal work, therefore, not only advances scientific knowledge but also serves as a clarion call to researchers, clinicians, policymakers, and advocates alike. To mitigate the growing global burden of ASD, an integrated, multidisciplinary approach is essential—one that blends cutting-edge biology with compassionate care and social equity. As autism research continues its rapid pace, revelations like those presented by Saad et al. will be critical guides on the path forward, combining precision science with the urgent imperative to enhance lives worldwide.

In summary, the analysis by Saad and colleagues is a timely and comprehensive examination of autism spectrum disorder through a global and biologically grounded lens. It emphasizes that ASD is a complex neurodevelopmental condition influenced by an intricate dance of genetic predispositions, environmental exposures, and immune processes. The global burden and broad clinical implications presented underscore the urgency of deploying novel, personalized interventions embedded in robust public health policies. This study sets a new benchmark for future research and intervention paradigms, promising to galvanize efforts toward a deeper understanding and more effective management of ASD.

Subject of Research: Global burden, biological risk factors, and implications of autism spectrum disorder (ASD).

Article Title: Analysis of the global burden, biological risk factors, and implications of autism spectrum disorder.

Article References:
Saad, K., Abdel-Sadek, Z.M., Al-Atram, A.A. et al. Analysis of the global burden, biological risk factors, and implications of autism spectrum disorder. Pediatr Res (2026). https://doi.org/10.1038/s41390-026-04762-6

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41390-026-04762-6

Autism spectrum disorder, characterized by challenges in social interaction, communication, and repetitive behaviors, has witnessed a striking surge in diagnosed cases over the past few decades. The newly published research analyzed data spanning multiple continents, encompassing various demographic groups to elucidate how ASD’s prevalence and burden differ regionally and globally. Such a broad and integrative approach is vital to understanding not only the raw numbers but also the underlying causes and disparities linked to this complex neurodevelopmental condition.

What sets this study apart is its utilization of advanced statistical models and epidemiological methodologies that incorporate both genetic predispositions and environmental exposures. By synthesizing data from health registries, surveys, and genetic databases, the researchers were able to highlight significant risk factors that may exacerbate the likelihood of ASD. These factors range from prenatal exposures, such as maternal health and toxin contact, to broader societal influences like urbanization and healthcare accessibility.

One of the most poignant revelations from the study is the interplay between socioeconomic status and ASD diagnosis rates. The research suggests that wealthier regions, often with better healthcare infrastructure and heightened awareness, report higher incidence rates due to improved diagnosis and reporting mechanisms. Conversely, under-resourced regions may face underdiagnosis, leading to underestimated prevalence and unmet care needs. This diagnostic disparity calls for global adjustments in healthcare policy and resource allocation.

Moreover, the study provided compelling evidence supporting the role of environmental pollutants in increasing ASD risk. Exposure to air pollution, heavy metals, and endocrine-disrupting chemicals during critical periods of fetal development appeared strongly correlated with the development of autism spectrum traits. These findings emphasize the urgent need for environmental regulations and public health initiatives targeting pollutant reduction to mitigate ASD incidence.

In addition to environmental factors, the researchers delved into genetic and epigenetic contributions to ASD. While genetic mutations and hereditary susceptibilities are well-established in ASD pathophysiology, this study added nuanced perspectives on how gene-environment interactions shape disease risk. Epigenetic modifications, influenced by maternal nutrition, stress, and toxin exposure, emerged as pivotal modulators that could either amplify or buffer genetic vulnerabilities.

The global scope of this study also underscored significant differences in ASD prevalence across age groups and sexes. Consistent with prior research, males were more frequently diagnosed than females, but the gender gap differed according to geography and diagnostic practices. The variability in early childhood screening programs worldwide further complicated adult ASD prevalence estimates, highlighting a dire need for standardized diagnostic criteria and inclusive screening protocols.

From a societal impact perspective, the research highlighted the substantial economic and caregiving burdens borne by families affected by ASD. In many countries, lack of early intervention programs and educational support limited individuals’ potential for social integration and economic independence. The study advocates for comprehensive public health frameworks that not only facilitate early diagnosis but also incorporate lifelong support services to enhance quality of life.

Technological advancements were also examined as a double-edged sword: while improved neuroimaging and genetic testing technologies have enriched understanding of ASD heterogeneity, disparities in technology access have widened gaps between high- and low-income settings. Bridging this technological divide remains an imperative goal to ensure equitable health outcomes globally.

The article underscores the importance of cross-disciplinary collaborations, merging neuroscience, epidemiology, environmental science, and social policy to tackle ASD comprehensively. This integrative approach is foundational for developing precision medicine strategies tailored to individual risk profiles, thereby optimizing preventive and therapeutic interventions.

Given the trajectory of rising ASD prevalence projected for the coming decades, the researchers emphasize the criticality of proactive investment in research and healthcare infrastructure. Expanding longitudinal cohorts and genetic biobanks, improving data sharing between countries, and enhancing public awareness campaigns are pivotal steps toward curbing this public health challenge.

Importantly, the study calls for heightened attention to prenatal and early-life care, advocating for policies that prioritize maternal health, reduce exposure to environmental toxins, and promote early developmental screening. These preventive measures could substantially diminish ASD risk and improve neurodevelopmental outcomes globally.

The implications of this research ripple beyond scientific communities, touching the lives of millions who navigate life with ASD. It prompts a renewed commitment from governments, healthcare providers, and societies to foster inclusivity, improve access to care, and support ongoing research aimed at unraveling ASD’s multifactorial etiology.

This landmark study stands as a clarion call underscoring that understanding and mitigating autism spectrum disorder requires a global, multifaceted response. As scientific frontiers expand, so too must our collective efforts to create environments where every individual, regardless of neurodevelopmental status, has the opportunity to thrive.

Subject of Research: Autism Spectrum Disorder (ASD), its global prevalence, risk factors, and societal burden.

Article Title: Burden and risk factors of autism spectrum disorder: global study and analysis.

Article References:
Lin, L., Zhang, Y., Zhou, D. et al. Burden and risk factors of autism spectrum disorder: global study and analysis. Pediatr Res (2025). https://doi.org/10.1038/s41390-025-04641-6

Image Credits: AI Generated

DOI: 14 December 2025

Keywords: Autism spectrum disorder, global prevalence, risk factors, environmental exposures, genetic susceptibility, socioeconomics, epidemiology, neurodevelopmental disorders.

Autism Spectrum Disorder affects an estimated 3.2% of children in the United States, according to recent epidemiological data. Globally, the World Health Organization places the prevalence at approximately 1 in 100 children, underscoring the condition’s broad impact. Intriguingly, autism and related neurodevelopmental conditions such as schizophrenia appear largely unique to humans. Behavioral phenotypes associated with these disorders—such as deficits in social interaction, communication challenges, and repetitive behaviors—are scarcely observed in non-human primates, hinting at their evolutionary specificity. This uniqueness also aligns with the involvement of cognitive faculties like complex speech production and comprehension, traits which are markedly advanced in human brains.

Technological advancements in single-cell and single-nucleus RNA sequencing have revolutionized neuroscience by enabling the molecular characterization of distinct neuronal cell types within the mammalian brain. These techniques have uncovered an extraordinary diversity of neurons, revealing genomic elements that have undergone rapid changes exclusively in the human lineage. Unlike in other mammalian species, these human-specific genetic modifications suggest an accelerated evolutionary process shaping brain function and structure.

Prior evolutionary analyses have demonstrated that while some neuronal cell types remain highly conserved across species, others exhibit faster rates of genomic divergence. However, the factors dictating these evolutionary disparities have eluded scientists until now. By leveraging recently available cross-species single-nucleus RNA-sequencing datasets from three critical brain regions, the researchers have identified a particular population of neurons—layer 2/3 intratelencephalic (L2/3 IT) neurons—that have undergone exceptional evolutionary acceleration in humans, surpassing changes observed in other great apes.

This accelerated neuronal evolution correlates strongly with profound alterations in genes linked to Autism Spectrum Disorder. The data imply that natural selection uniquely operating along the human lineage favored genetic variants associated with these neurons, leading to modifications that may underpin both the species-specific cognitive abilities and the increased susceptibility to autism. This dual outcome illustrates a complex evolutionary trade-off, wherein the same genetic innovations enhancing brain function might have also predisposed humans to neurodevelopmental disorders.

Despite these intriguing connections, the ultimate fitness advantage conferred by the selection of autism-related genes remains uncertain. The prolonged developmental timeline of the human brain—substantially slower than that of chimpanzees—has often been hypothesized as advantageous, allowing enhanced cognitive plasticity and learning. The authors speculate that many autism-associated genes contribute to developmental delays, possibly linking their evolution to this extended postnatal maturation. This developmental extension could afford humans a prolonged window for neural circuit refinement and sophisticated brain wiring crucial for higher cognitive functions.

Language capacity, a distinctive hallmark of humanity, is another domain potentially influenced by the evolved autism-linked genes. Both autism and schizophrenia frequently impact speech production and language comprehension, suggesting these genes modulate neural substrates integral to human linguistic ability. The evolutionary pressure to enhance language skills may have inadvertently heightened vulnerability to disorders affecting communication.

By investigating these accelerated genetic changes, the study provides a nuanced perspective on how neurodiversity, such as that seen in autism, might not merely be a deleterious condition but rather a side effect of evolutionary processes that shaped uniquely human brain features. This paradigm challenges conventional deficit-focused views and frames autism within the broader context of human cognitive evolution.

Leading the study, Alexander L. Starr, a Ph.D. student at Stanford University, emphasized the significance of these findings: “Our results suggest that some of the same genetic changes that make the human brain unique also made humans more neurodiverse.” This insight underscores the intertwined nature of evolutionary innovation and neurological variation, with implications for understanding both the biology of autism and human brain evolution.

The methodology used in this research combined sophisticated statistical analyses of large genomic datasets with comparative evolutionary genomics. By focusing on the transcriptional profiles of individual neurons across species, the team could pinpoint cell type–specific evolutionary patterns, advancing the resolution of evolutionary neuroscience to unprecedented levels. Such approaches are instrumental in disentangling the complex interplay between genetics, brain architecture, and cognitive function.

Ultimately, this study opens avenues for further investigations into how the balance of brain development timing, cognitive capabilities, and genetic variability contribute to both human uniqueness and susceptibility to neurodevelopmental disorders. It highlights the importance of integrating evolutionary biology with psychiatric genetics to unravel the origins of complex conditions like autism.

The full article, entitled “A general principle of neuronal evolution reveals a human accelerated neuron type potentially underlying the high prevalence of autism in humans,” will be accessible at midnight on September 9 via the Molecular Biology and Evolution journal website. This pioneering work sets the stage for transformative research in evolutionary neuroscience and the genetics of neurodiversity, offering fresh perspectives on long-standing questions about what makes us uniquely human.

Subject of Research: People

Article Title: A general principle of neuronal evolution reveals a human accelerated neuron type potentially underlying the high prevalence of autism in humans

News Publication Date: 9-Sep-2025

Web References:
https://academic.oup.com/mbe/article-lookup/doi/10.1093/molbev/msaf189

Keywords: Evolution, Genetics, Developmental psychology, Developmental disorders