Single-cell analysis of 14,685 cells revealed T-cell infiltration into aging brain stem-cell niches. These T cells produced interferon-gamma, which suppressed neural stem-cell proliferation. Immune cells can directly interfere with brain regeneration. doi.org/10.1038/s41586-019-1…

Researchers report that "SV2A PET reveals disease-specific patterns of reduced presynaptic availability, consistent with synaptic loss, across parkinsonian disorders, supporting its potential as a diagnostic & monitoring biomarker" journals.sagepub.com/doi/10.…

Semaglutide (Ozempic) improved left atrial and diastolic function in a randomized trial of patients with preserved ejection fraction heart failure (HFpEF) and obesity (via MRI) And achieved remission of symptoms in more than half of participants (2nd link) #AHA26 and @NatureMedicine nature.com/articles/s41591-0… nature.com/articles/s41591-0…

New paper in Imaging Neuroscience by Daouia I. Larabi, Kaustubh R. Patil, et al: Spatially localized fMRI metrics as predictive and highly distinct state-independent fingerprints doi.org/10.1162/IMAG.a.1444

Methodological debates move the field forward. Recent debates on lesion network mapping (LNM) motivated us to develop robust LNM (rLNM), combining spatial null models and selective specificity to distinguish symptom effects from shared background. biorxiv.org/content/10.64898…

Surrogate endpoints can be used to make treatments available sooner, but that comes at the cost of greater uncertainty. Can new recommendations on surrogate endpoints lead to meaningful patient benefit? bmj.com/content/395/bmj-2026…

Chen et al. show that rigid and repetitive behaviours occur across dementia syndromes, most prominently in behavioural variant FTD. These symptoms are linked to structural and functional changes in the brain’s reward hub, the nucleus accumbens. shorturl.at/KHS2h

Uploading a paper to an AI server is a breach of reviewer ethics.

People reviewing papers: Can u stop using AI? First, you can't upload papers onto AI, it's just not cool. 2nd, the reviews are crap-they make no sense, and they often produce stupid comments. 3rd, if you are going to use AI to review, can you take less than 4 months to do it?

New paper in Imaging Neuroscience by Ashwin Anirudha Bhandiwad, Tyler Mollenkopf, et al: A curvilinear coordinate flatmap for visualizing hippocampal structure and development doi.org/10.1162/IMAG.a.1429

MRIのパラメータを動かすと、画像・撮像時間・SNR・コントラストがその場で変わる教育用シミュレーターを公開しました🧲 仮想ファントム12種・60シーケンス・6社の名称対応・k空間の模式図つき。ブラウザだけで無料、日英中対応です。 ringnir.github.io/MRI-SIMULA… #MRI

New paper in Imaging Neuroscience by Muye Zhang, Qiyuan Tian, et al: SRNR: Deep learning-based MRI super-resolution using noisy high-resolution reference data doi.org/10.1162/IMAG.a.1433

Very excited to introduce Paperclip Datasets! Curate your own datasets from millions of papers in minutes. Just describe the dataset you want to build! As example, we release the largest dataset of 20k half-life human measurements curated from 2400+ drugs💊 🖇️ Try it: paperclip.gxl.ai/datasets 📝 Blog: gxl.ai/blog/introducing-pape… 📊 Half-life dataset: huggingface.co/datasets/gxl-…

We shouldn't underestimate the power of vagus nerve modulation. Today the potential for Parkinson's disease. Noninvasively. Work in the experimental model @natBME nature.com/articles/s41551-0…

New paper in Imaging Neuroscience by Seok-Oh Jeong, Hae-Jeong Park, et al: A generative framework for estimating brain energy landscapes from continuous neuroimaging observations doi.org/10.1162/IMAG.a.1415

Magnífico artículo (recomiendo lectura) Como ya sabéis alguno, creo que la codificación del valor es el eje central de las representaciones mentales. Las tenemos, porque necesitamos identificar lo que aporta valor para nuestra supervivencia y bienestar. Pues este artículo explica un poco más cómo codificamos valor: - No aprendemos el valor de las cosas únicamente por las recompensas que recibimos, sino también por la atención que les prestamos...🤯 Una opción de valor intermedio puede ser infravalorada cuando compite con otra más atractiva. Sin embargo, al dirigir la atención hacia ella durante el aprendizaje, su valoración posterior aumenta, incluso aunque su recompensa objetiva no cambie. Y cómo lo descubrieron? Está interesante los resutlados de cómo aumentar el valor solo modificando la atención sobre los objetos... Los investigadores realizaron tres experimentos con un total de 105 participantes, utilizando técnicas de seguimiento ocular (eye-tracking) y modelos computacionales de aprendizaje por refuerzo para analizar cómo la atención influye en la valoración de las opciones. Resultados 1. En el primer experimento, hicieron temporalmente indisponible la opción de mayor valor, lo que provocó un aumento de la atención y de la valoración de la opción intermedia. 2. En el segundo experimento, incrementaron el brillo visual de la opción intermedia para atraer la atención de los participantes, observando que esta manipulación aumentaba su valoración posterior. 3. Finalmente, en el tercer experimento, destacaron visualmente las recompensas asociadas a las opciones elegidas y comprobaron que, aunque esta manipulación modificaba los patrones de atención visual, su efecto individual sobre la valoración no fue estadísticamente significativo. Es decir, esto sirve tanto para marketing como para política... si aparecemos en los medios y conseguimos que la gente preste atención a nuestro mensaje (por el medio que sea...), el valor de nuestro mensaje cambia por el simple hecho de ser observado atentamente... Fuente: nature.com/articles/s41467-0…

This paper answers why you can't think straight even when you're not touching your phone. Researchers from UT Austin and UC San Diego published a paper that explains every unfinished task, every reread paragraph, and every afternoon that vanished. It's called "Brain Drain." they took 520 people and gave them tests of memory and problem solving. the only difference was where their phone was. on the desk, face down. in their pocket or bag. or in another room. every phone was on silent. no buzzing. no notifications. And the results are wild. the people whose phones were in another room did significantly better than the people whose phones sat face down on the desk. the closer the phone, the worse they scored. then they ran it again and made half of them turn their phones completely off. it didn't matter. off and face down on the desk still drained the brain. the paper revealed a brutal paradox: most people said they weren't thinking about their phone at all. 75.9% said its location didn't affect their performance "at all." they were wrong. your brain spends energy just to not pick it up. a quiet, constant effort to ignore the most interesting object in the room. that effort comes from the same tank you use to think. and the more dependent people were on their phones, the bigger the hit. you are not distracted because you're weak. you are distracted because the most powerful attention machine ever built is sitting three inches from your hand. the fix is almost insultingly simple. put it in another room.

PaSTA is here: a new tool for testing brain-map correlations Advantages over spin test, eigstrapping, bSmash: - Fast - Works for volumetric & surface maps, & arbitrary ROIs - Handles non-stationarity (approximately) Paper: sciencedirect.com/science/ar… Code: github.com/yuanzhel94/PaSTA

New paper in Imaging Neuroscience by Nicolás von Ellenrieder, Boris C. Bernhardt, et al: The electro-MICA toolbox for integrating electrophysiology within multimodal imaging and connectomics workflows doi.org/10.1162/IMAG.a.1413

Could ultraprocessed foods be damaging our brains before we notice symptoms? This new study published in JAMA Network Open resonates with me because it raises an important question about brain health: could the foods we eat today be contributing to brain injury long before we notice problems with memory or thinking? Researchers examined 8,783 middle-aged adults in Canada and found that those consuming the most ultraprocessed foods had 40% higher odds of MRI-detected vascular brain injury compared with those consuming the least. These injuries included silent strokes and changes in the brain's white matter, which can develop without obvious symptoms. Higher consumption was also associated with greater body fat and abdominal fat. Interestingly, the researchers did not find significant differences in cognitive performance, suggesting that changes on brain imaging may be detectable before changes on cognitive testing. The study was observational and cannot prove that ultraprocessed foods caused these injuries, and some findings were sensitive to how food intake was measured. What resonates with me most is the opportunity to think about prevention earlier in life. We spend so much time treating brain diseases after symptoms appear, but perhaps we should be paying much closer attention to what we put on our plates decades before those symptoms emerge. Protecting our brains may begin long before we ever enter a neurologist's office. cutt.ly/kyRulqL4