Neural Connectivity and Brain Activity in Autism Spectrum Disorders
Summary
Autism spectrum disorders are characterised by atypical patterns of neural connectivity and altered brain activity across both local and long-range networks. Electrophysiological studies using electroencephalography have revealed deviations in oscillatory power—most notably reduced alpha and elevated gamma rhythms—suggesting an imbalance between excitatory and inhibitory processes. Functional connectivity analyses highlight disrupted communication among frontal, temporal and cerebellar regions, which underpin social cognition, sensory integration and executive control. Advances in high-density recording, source reconstruction and computational modelling are refining our understanding of these network dynamics and identifying candidate biomarkers. The integration of quantitative signal analysis with predictive algorithms holds promise for more precise diagnosis and personalised intervention strategies.
Research from Nature Portfolio
Researchers applied traditional statistics and classical machine learning to EEG connectivity metrics in a large paediatric cohort. By combining network measures and spectral features, the study identified subgroups of children with autism exhibiting distinct connectivity profiles. Machine learning classifiers improved discrimination between autistic and neurotypical patterns, highlighting the potential of integrating predictive models with electrophysiological data. This approach underscored the value of combining quantitative analysis and algorithmic prediction to refine diagnostic precision and inform targeted interventions.
Neural Connectivity and Brain Activity in Autism Spectrum Disorders publication trend
The graph below shows the total number of articles in neural connectivity and brain activity in autism spectrum disorders across all publications each year (not limited to Nature Index journals).
Technical terms
Electroencephalography (EEG): A non-invasive method for recording electrical activity generated by neuronal ensembles via scalp electrodes.
Functional Connectivity: Statistical dependence or coordination between spatially distinct neural regions over time, indicating communication pathways.
Neural Oscillations: Rhythmic fluctuations in electrical activity of neurons, categorised by frequency bands (e.g. delta, theta, alpha, beta, gamma).
Spectral Power: The distribution of signal amplitude across frequency bands, reflecting the strength of specific neural oscillations.
Phase-Amplitude Coupling: A cross-frequency interaction where the phase of lower-frequency rhythms modulates the amplitude of higher-frequency oscillations, indicative of local network coordination.
References
- Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis. Scientific Reports (2023).
- Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis. Translational Psychiatry (2023).
- Cortico-Cerebellar neurodynamics during social interaction in Autism Spectrum Disorders. NeuroImage Clinical (2023).
- Alterations in resting-state gamma-activity is adults with autism spectrum disorder: A High-Density EEG study. Psychiatry Research (2024).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.