Comparison of subject-to-template registration schemes using CT and MR radiotherapy images with brain lesions

IntroductionVoxel-based analyses have been used more widely in radiotherapy in recent years. The purpose of this study is to compare eight different methods of registering images on to a template space for such analyses. A novel way, using both CT and MR data, is proposed.MethodsCT and MR brain images from 85 participants in the CoDe-B-Rad study (NCT06466720) were registered on an age-specific template. The registration schemes used included sCT-Template (linear and non-linear); MR-Template (linear, non-linear, masked, and enantiomorphic); and Dual-Template (linear and non-linear). The registrations were compared qualitatively and quantitatively against the template MR images with scores ranging from 1 (lowest) to 5 (highest) and quantitatively (via Jaccard, ASD, and HD95).ResultsQualitatively, the best registration scheme was the Dual-Template-non-linear registration, with 60 participants scoring above 4. The second best was the MR-Template-enantiomorphic, with 53 participants scoring above 4. Quantitatively, the Dual-Template-non-linear method outperformed on the mean (±SD) for the ASD and HD95, with 0.918 (±0.1774) and 2.965 (±0.5392) respectively. For ASD the difference compared to other methods was significant (p = 0.03). The MR-Template-masked outperformed on the Jaccard mean (±SD), median (IQR), and ASD, achieving values of 0.567 (±0.0557), 0.555 (0.055), and 0.808 (0.162) respectively. The Dual-Template-non-linear and MR-Template-masked and non-linear had the same result for the median HD95: 2.639. The performance of all linear schemes was inadequate both quantitatively and qualitatively. All non-linear registration schemes had issues with distortions of tissue and landmarks, however, for the Dual-Template scheme these were minimal.ConclusionThe Dual-Template-non-linear registration scheme is a new way of registering lesioned brain images for use with voxel-wise techniques in radiotherapy, which utilises both CT and MR image data. The scheme provides fidelity of the underlying soft tissue as well as the surrounding skull, minimising anatomical and dosimetric distortions.

Synaptic mechanisms for differential severity of social preference deficits in male and female mice induced by diminished activity-dependent BDNF

Males are more commonly diagnosed with autism spectrum disorder (ASD) than females with a ratio of about 4–1. However, the neural mechanisms underlying the sex differences in ASD are unknown. Social deficits are the core symptoms of patients with ASD. Previous studies showed that diminished activity-dependent brain-derived neurotrophic factor (BDNF) signaling induced differential severity of autism-like social preference deficits in male and female mice by using a mouse model with genetic knock-in of human BDNF methionine (Met) allele, which significantly decreased activity-dependent BDNF release without affecting basal BDNF secretion. Here, we investigated the synaptic mechanisms for diminished activity-dependent BDNF-induced differential severity of social preference deficits in males and females. The prefrontal cortex (PFC) is a critical brain region for social behaviors. Whole-cell patch-clamp brain slice recordings showed that diminished activity-dependent BDNF signaling differentially increased the frequency of spontaneous action potentials (sAPs) of pyramidal neurons in the PFC of male and female BDNF+/Met mice. The frequency of sAPs in male BDNF+/Met mice was higher than in female BDNF+/Met mice. Diminished activity-dependent BDNF signaling differentially enhanced excitatory synaptic transmission and dampened inhibitory synaptic transmission of pyramidal neurons at pre- and post- synapses in males and females, which were mediated by dysregulated transcriptional levels of key synaptic genes. Chemogenetic inhibition of pyramidal neurons in the PFC of BDNF+/Met mice was sufficient to ameliorate autism-like social preference deficits in males and females. This study reveals synaptic mechanisms underlying the differential severity of social preference deficit in male and female BDNF+/Met mice, which provides a potential neural basis for sex differences in male and female ASD patients with and without the BDNF Val66Met SNP.

Immersive wearable virtual reality for autism: a systematic review of current evidence

IntroductionImmersive and wearable virtual reality (VR) is an emerging technology with growing potential to support assessment and intervention ifor autistic people. The methodological heterogeneity of existing studies limits the interpretation and generalization of current evidence.MethodsA systematic review with a narrative synthesis was conducted in accordance with the PRISMA guidelines. Electronic searches were performed in PubMed, Scopus, IEEE Xplore, Web of Science, and Google Scholar, identifying studies published between 2015 and August 2025. Twenty-two studies investigating wearable and immersive VR interventions in children and adults with ASD met the eligibility criteria.ResultsThe included studies demonstrated that wearable VR interventions may improve social communication, joint attention, emotional regulation, daily living skills, executive functioning, and user engagement. Innovative technologies, including eye-tracking and artificial intelligence-based systems, also enabled objective assessment of gaze behaviour, social interaction, and physiological responses. Nevertheless, the evidence was characterized by considerable methodological heterogeneity, predominantly small sample sizes, limited use of randomized controlled designs, and scarce long-term follow-up, reducing the generalizability of the findings.DiscussionWearable VR represents a promising tool for personalized assessment and intervention in ASD. Based on the current evidence, we propose a structured pre-intervention assessment integrating sensory, cognitive, emotional, and VR tolerance profiles to support individualized intervention planning. Future research should prioritize standardized outcome measures, rigorous study designs, and longitudinal investigations to strengthen the clinical translation of VR-based interventions in autism.

NeuroCon-AutismNet: a privacy-preserving multimodal framework toward autism screening via diffusion-regularized EEG biomarkers and empathy-aware multilingual dialogue

IntroductionAutism Spectrum Disorder (ASD) screening requires multimodal biomarkers to capture the heterogeneous neurological and behavioral phenotypes. Current screening approaches remain siloed across EEG analysis and conversational assessment, limiting integrated diagnostic architecture. Privacy-preserving machine learning frameworks for mental health screening are underdeveloped, particularly for multilingual deployment contexts. This paper presents NeuroCon-AutismNet, a candidate multimodal architecture integrating diffusion-regularized EEG synthesis, multilingual conversational screening, and formal differential privacy as architectural proof-of-concept. No diagnostic discrimination capability is claimed; all validation is scoped to synthetic evaluation.MethodsNeuroCon-AutismNet comprises four modules: (1) Temporal Diffusion Biomarker Generator (TDBG), a latent diffusion model over VAE-encoded 19-channel EEG; (2) Multilingual Affective Dialogue Screening Network (MADSN), a fine-tuned GPT-2-small module deployed in English, Spanish, and Hindi; (3) Neuro-Linguistic Fusion Transformer (NLFT), enforcing positional alignment as a design prior rather than learned cross-modal association; and (4) Adaptive Mixture-of-Experts Layer (AMEL-X) for entropy-regularized multimodal fusion. Formal (ε, δ)-differential privacy (ε = 1.0, δ = 1e-5) is verified via DP-SGD RDP composition (σ = 1.2, q = 0.0914, T = 550 steps, verified ε = 0.97). Privacy verification establishes architectural readiness for future real-data deployment; no real patient records are present in the training set.Results and DiscussionWithin closed synthetic evaluation, held-out diagnostic AUC is 0.503 (95% CI: 0.487–0.519, DeLong p = 0.67), statistically indistinguishable from chance and the central limitation of this study. Two partial external benchmarks are provided. Spectral comparison against three independently published real ASD EEG studies yields Pearson r = 0.87 across five frequency bands; delta and alpha directions are reproduced, but theta and gamma reproduce poorly with large amplitude errors (delta MAE 14.79%, alpha MAE 11.57%). Expert evaluation of MADSN outputs by 50 annotators under single-blind protocol yields 90% empathy satisfaction and Cohen’s κ = 0.82, reflecting text quality rather than clinical screening validity. The null diagnostic AUC and synthetic-only evaluation prevent any current screening or clinical-utility claims. Real-data EEG validation, clinician-caregiver interaction studies for MADSN, and DP-protected training on real patient records are prerequisites for future clinical deployment.

Autism-Like Traits in Mice Improved After Single Rapamycin Dose

The results of a preclinical study led by UCLA Health researchers suggest that inflammation during pregnancy in mice can trigger autism-like brain and behavior changes in offspring, and that the effects may be rapidly but temporarily reversible in adulthood with a short-term dose of the immunosuppressive drug rapamycin.

The study showed that a single dose of rapamycin rapidly improved changes including brain overactivity, seizure risk, sensory sensitivity, repetitive behaviors, and abnormal brain functional network organization. Rapamycin itself is not considered a viable candidate for human therapy, as the effects of the drug were found to be temporary, with repeated dosing losing efficacy, and repeated use also having the potential for toxicity. However, the researchers said the study findings indicate that some autism-related brain changes may still be treatable in adulthood, and point to possible therapeutic approaches that target the underlying pathway rather than only symptoms.

“These results reframe how autism-associated symptoms might be treated,” said Janel Le Belle, PhD, an associate professor in the UCLA Department of Neurosurgery. “If the adult brain remains capable of functional normalization, then some features of autism may be successfully addressed without needing to correct underlying structural differences.” Le Belle is first author of the researchers’ published paper in Nature Communications, titled “Acute rapamycin treatment reveals distinct mechanisms of dysfunction in a maternal inflammation mouse model.”

Neurodevelopmental disorders result from the disruption of brain development in utero or in early life, with genetic, environmental, epigenetic, and immunological factors all potential contributors to complex pathogenesis, the authors wrote. Previous studies have shown that offspring of mothers who experience inflammation while pregnant have a higher likelihood of developing autism-associated traits such as repetitive behaviors and difficulty with social interaction, as well as brain overgrowth and disrupted sensory processing that continue into adulthood. “Maternal inflammatory response (MIR) during early mouse gestation induces a cascade of physiological and behavioral changes associated with autism spectrum disorder (ASD),” they stated.

Rapamycin has been shown in previous mouse autism studies to improve symptoms by suppressing an overactive mTOR pathway that signals cell growth and proliferation. What has been less clear is whether these brain changes could still be modifiable in adulthood, and whether rapamycin’s benefits came from long-term structural repair or faster functional changes. “We wanted to understand the mechanisms that underlie the effects of adult mTOR inhibition, where treatment isn’t aimed at preventing or reversing structural brain abnormalities,” the team stated.

For their newly reported study the scientists exposed pregnant mice to a mild inflammatory trigger early in gestation at a dose that was too low to make the mothers significantly ill. The resulting offspring went on to develop chronic brain and body-wide inflammation, mild brain overgrowth, overactive cell-signaling in the mTOR pathway, disorganized brain functional network connectivity and behaviors associated with autism.

When researchers gave adult offspring a single dose of rapamycin they found rapid improvement across nearly every measure. Neurons that had been firing abnormally calmed down, susceptibility to seizures dropped, brain regions that had been miscommunicating reorganized into more typical patterns and repetitive behaviors and sensory over-responsivity eased. These changes occurred within roughly two hours of drug administration, which was too rapid to be explained by the kind of physical rewiring of brain synapses that typically takes longer.

“The level of functional normalization achieved over this short time suggests new mechanisms by which possible treatments may act,” said the study’s senior author Harley Kornblum, MD, PhD, director of the UCLA Intellectual and Developmental Disabilities Research Center in the Semel Institute for Neuroscience and Human Behavior. “It suggests the adult brain may be more adaptable than we assumed, even when the underlying structural changes from early development are still there. This points us toward the brain’s functional circuitry, not just its physical structure, as a target for future treatment approaches.”

To understand the mechanisms of rapid rapamycin effects, researchers examined gene activity in brain cells before and after treatment. They found that rapamycin reversed abnormal expression of genes tied to autism, epilepsy and ion channel function, particularly in excitatory neurons, suggesting the drug works by quickly rebalancing brain cell excitability rather than by repairing structural brain differences.

The findings suggest that mTOR pathway activity, brain network organization and neuronal excitation levels as potential targets for future therapies aimed at specific autism symptoms such as sensory over-responsivity, a common but difficult-to-treat symptom of autism. “Our findings demonstrate that mTOR dysregulation drives dysfunctional brain development in MIR offspring but the adult brain remains amenable to rapid functional normalization, rescuing core and comorbid ASD associated brain and behavior phenotypes,” the authors stated.

Co-senior author and professor in the UCLA Department of Neurosurgery, Neil Harris, PhD, cautioned that the results showed the treatment effects to be temporary and that daily dosing produced tolerance over several weeks. This, along with rapamycin’s high potential for toxicity and the fact that these studies were performed in mice, makes it unsuitable for broad use in humans. “This points toward new therapeutic targets like sensory circuit neuromodulation or balancing neuronal inhibition and excitation, rather than toward rapamycin itself as a treatment,” Harris said. As the authors further commented in their paper, “Restoring excitatory/inhibitory imbalance and sensory functional network modularity may be important targets for therapeutically addressing multiple ASD phenotypes.”

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