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#neuroscience

55 posts29 participants1 post today
Megan Hall

Excited to announce our newest article using MEG to examine the role of alpha and beta oscillatory activity in semantic processing during healthy aging and its relationship with tests of verbal fluency is now online: nature.com/articles/s41514-025

NatureAge-related alterations in alpha and beta oscillations support preservation of semantic processing in healthy aging - npj AgingSemantic processing remains relatively preserved during healthy aging, but the mechanisms are poorly understood. Herein, we use dynamic functional mapping based on magnetoencephalography to examine the neural oscillations serving semantic processing across the adult lifespan (N = 154; 21–87 years). Task-related oscillatory dynamics were imaged using a beamformer and whole-brain linear mixed-effects (LME) models were calculated with age and task condition (semantically-related or -unrelated) as factors. LMEs revealed significant age-by-condition interactions on alpha and beta activity in multiple regions, which generally reflected stronger responses with increasing age and/or in the semantically-related condition across regions (p values < 0.005, corrected). Follow-up mediation analyses of these interaction clusters indicated that left perisylvian alpha responses suppressed the effect of age on verbal fluency (p = 0.014), with larger conditional differences in this region supporting preserved fluency with increasing age. Our findings provide novel insight on age-related neurophysiological adaptations that support preservation of semantic processing.
#Neuroscience#VerbalFluency#SemanticProcessing
Nonya Bidniss :CIAverified:

Neuroscientists analyzed the brain tissue of people with Alzheimer’s disease and found that the sticky plaques of amyloid protein that are a hallmark of the disease had high concentrations of lithium, while it was depleted in the rest of the brain. The researchers hypothesized that lithium naturally exists in our bodies as part of a carefully calibrated ecosystem of metal ions. In Alzheimer’s disease, amyloid plaques sequester this freely available lithium, preventing it from being used in various neural processes. This process could lead to downstream symptoms of Alzheimer’s, like memory loss and cognitive decline.

Researchers then identified a compound called lithium orotate that can bolster natural levels of lithium without getting trapped by amyloid plaques. In studies of adult mice engineered to have Alzheimer’s-like symptoms, adding a low dose of lithium orotate to their drinking water prevented the development of plaques and completely reversed memory loss in mice. “It seems to somehow turn back the clock,” the paper’s senior author, Bruce Yankner, told The Boston Globe.

Scientists hope that this paper will breathe new life into the search for a cure for Alzheimer’s disease and open up new questions about the role of lithium in the brain. “[Lithium] powers our phones, laptops, and electric vehicles,” Yankner tells Science. “My guess is the brain might have utilized this unique electrochemistry before we did.” #alzheimers #lithium #neuroscience #medicine
Paywall science.org/content/article/co
Paywall bostonglobe.com/2025/08/06/met
Paywall nature.com/articles/d41586-025
No paywall archive.is/LB5Ps

Robert Roy Britt

With age, almost all humans deal with decline in memory and other #brain functions. But the minds of some people in their 80s and beyond function as though they were decades younger. Scientists have been studying these superagers for 25 years, testing their memory skills and autopsying their brains when they die. Two things stand out: Not all superagers do all the healthy things you might expect, but nearly all of them are highly social. medium.com/wise-well/secrets-o #neuroscience #science

A human brain donated to science by a superager
Wise & Well · Secrets of Remarkable ‘Superager’ Brains Revealed - Wise & Well - MediumBy Robert Roy Britt
Matt Potter

Hello lovely Masto peeps. I’m writing a long read about how the increased awareness of autism and neurodivergence generally is changing travel for people with autism. The very different experience, the way companies, airports etc should/can step up, etc.

If anyone here has experience ir insights on either side & would be willing to talk, please do shout! Thank you.

#journorequest#autism#neurodivergence
Neurofrontiers

Hey Fedi, I need some help. Lately, I’ve been facing some tough challenges in my job search and despite all my efforts, I haven’t been able to land something sustainable yet.

I have a PhD in computational neuroscience, with experience in time-series analysis and whole-brain simulations. I have teaching experience and in parallel to my PhD, I’ve been running a neuroscience blog (neurofrontiers.blog) for the past five years. This is my LinkedIn profile: linkedin.com/in/dr-cristiana-d

I’m looking for jobs either locally in Berlin (Germany) or remotely.

So far, I’ve been focused on data science roles, because that’s where the hard skills from my PhD would fit, but I’m open to exploring other opportunities, particularly as a medical science liaison or scientific writer.

If you know of any permanent or freelance opportunities, please let me know. Thanks a lot!

#FediHire#GetFediHired#DataScience
Paul Houle

🤯 Interpretable EEG-to-Image Generation with Semantic Prompts

arxiv.org/abs/2507.07157

arXiv logo
arXiv.orgInterpretable EEG-to-Image Generation with Semantic PromptsDecoding visual experience from brain signals offers exciting possibilities for neuroscience and interpretable AI. While EEG is accessible and temporally precise, its limitations in spatial detail hinder image reconstruction. Our model bypasses direct EEG-to-image generation by aligning EEG signals with multilevel semantic captions -- ranging from object-level to abstract themes -- generated by a large language model. A transformer-based EEG encoder maps brain activity to these captions through contrastive learning. During inference, caption embeddings retrieved via projection heads condition a pretrained latent diffusion model for image generation. This text-mediated framework yields state-of-the-art visual decoding on the EEGCVPR dataset, with interpretable alignment to known neurocognitive pathways. Dominant EEG-caption associations reflected the importance of different semantic levels extracted from perceived images. Saliency maps and t-SNE projections reveal semantic topography across the scalp. Our model demonstrates how structured semantic mediation enables cognitively aligned visual decoding from EEG.
#eeg#ai#ml
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