New paper in Imaging Neuroscience by Joshua Faskowitz, Peter A. Bandettini, and Javier Gonzalez-Castillo: Mapping high-amplitude fMRI edge time series events across space and time doi.org/10.1162/IMAG...
Xiaoxiao Wang
@xiaoxiao-mri.bsky.social
An associate research professor in the medial imaging center of the University of Science and Technology of China. I like #AI, #fMRI, #vision and #white_matter.
New paper in Imaging Neuroscience by Federica Bencivenga, Gaspare Galati, et al: MOTUM: A system for Motion Online Tracking Under MRI doi.org/10.1162/IMAG...
What can cognitive science learn from AI? In infinitefaculty.substack.com/p/what-cogni... I outline how AI has found that scale and richness of learning experiences fundamentally change learning & generalization — and how I believe we should rethink cognitive experiments & theories in response.
What cognitive science can learn from AI
#3 in a series on cognitive science and AI
infinitefaculty.substack.com
Researchers have done a lot in brain tissue segmentation, but pay little attention to extracranial tissue. Here comes one!
Imaging Neuroscience@imagingneurosci.bsky.social · 7mo agoNew paper in Imaging Neuroscience by Markiian Mandzak, Benjamin H. Kann, et al: TissUnet: Improved extracranial tissue and cranium segmentation for children through adulthood doi.org/10.1162/IMAG...
Cool study with the Mongolian language (traditional Mongolian script): link.springer.com/article/10.3... Yan, M., Min, A., Bao, Y. B., & Kuperman, V. (2026). Eye movements are guided by morphological complexity in traditional Mongolian reading. Psychonomic Bulletin & Review, 33(1), 4.
Eye movements are guided by morphological complexity in traditional Mongolian reading - Psychonomic Bulletin & Review
Current research on eye movements in reading has reached a commonly accepted consensus that eye guidance—specifically, the locations of fixations within words—is determined exclusively by low-level vi...
link.springer.com
We'll be at #CNS2026! Check out our abstract: www.cogneurosociety.org/poster/?id=7... If you want to talk meta-analyses or extracting structured information from articles (NLP/LLMs) in person, let's connect ☕ (Vancouver March 7th-10th) #Neuroskyence #Neuroscience #AcademicChatter
Poster - Cognitive Neuroscience Society
March 7 – 10, 2026 Submit a Poster
cogneurosociety.org
This is a page for introducing antery and vein in human brain lateral ventricles. It's impressive when I see the picture of numerous veins on the ependyma of the ventricle. Ventricular and Periventricular Arteriovenous Malformations neupsykey.com/ventricular-...
Self-supervised learning models have shown imprresive performance in brain decoding. But it is becoming a core question who can relate "prediction" to "explanation".
arXiv q-bio.NC Neurons and Cognition@qbionc-bot.bsky.social · 11mo agoThomas Serre, Ellie Pavlick: From Prediction to Understanding: Will AI Foundation Models Transform Brain Science? https://arxiv.org/abs/2509.17280 https://arxiv.org/pdf/2509.17280 https://arxiv.org/html/2509.17280
Nasal👃 breathe airflow 💨 tells indications on both physiological states and cognitive traits. So can we do the similar estimation from BOLD-fMRI by breathe artifacts? www.cell.com/current-biol...
A mouse 🐭 study, but inspiring to the brain 🧠 to natural image 🖼️ decoding studies too. Stimulus features are encoded widely around the brain, and we should jump out of the visual cortex💻. Representations of stimulus features in the ventral hippocampus www.cell.com/neuron/fullt...
Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan journals.plos.org/plosbiology/...
Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan
How does cerebral blood perfusion map onto micro-, meso- and macro-scale brain structure? Using arterial spin labeling data from the Human Connectome Project, this study provides a detailed characteri...
journals.plos.org
Analysis of >11,000 pediatric MRI scans suggests that suboptimal image quality may introduce bias in cortical thickness and area estimates in over half the cases 🤔🧐 www.nature.com/articles/s41...
Addressing artifactual bias in large, automated MRI analyses of brain development - Nature Neuroscience
As large-scale neurodevelopmental MRI studies gain prominence, the authors identify tradeoffs between sample size and quality control that can dramatically affect results, and they evaluate a range of...
nature.com
A series of talks on 7T (f)MRI from the SIEMENS UHF user meeting in Frankfurt are now online: www.magnetomworld.siemens-healthineers.com/clinical-cor...
Did everyone else know that you can turn on ‘library links’ in Google scholar!?
1/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements... doi.org/10.1038/s415...
Researches showed that microwaves from wifi ˒﹚) and 5G 📶 would interact with human brain. So why not applying microwaves 📡 to brain 🧠 stimulation? www.sciencedirect.com/science/arti...
Do you want inter-site brain🧠 reading algrithm? Here is one solution -- a converter between site-specific embeddings 🤪 and image reconstructing decoder 🙂. www.nature.com/articles/s43...
🔥🔥2025 Talairach Lecture "Worldwide Collaboration & AI in the Global Quest to Map Human Brain Diseases" 🧠 Massive thanks to all of you whose work I highlighted +made this possible 🔥🔥YouTube, Slides PDF in comments +Thanks for letting me show 151 slides in 0.5 hour :)🤯 www.youtube.com/watch?v=nPH-...
Talairach Lecture 2025: Worldwide Collaboration & AI in the Global Quest to Map Human Brain Diseases
YouTube video by Paul Thompson
youtube.com
If you're at #OHBM2025, come see our Best Figure competition as part of ComCom's Comms Comps! 12:45-13:45, Room M2! Also we're accepting last minute sign-ups for tomorrow's 3-minute flipboard presentation: forms.gle/VZHaTGBK99A8...
forms.gle
Will deep neural network predict whole-brain 🧠 activity? YES! ✅ With the help of 4D spatio-temporal swin Transformer! arxiv.org/abs/2506.11455 #brain #deeplearning
The callosal connections’ receptive field visuotopic locations coherent with the regions of neural soma, enabling their origin to be inferred from functional properties. academic.oup.com/cercor/artic... #corpuscallosum
It is a good idea to learn temporal and spatial information seperately, in the brain 🧠 area fMRI. arxiv.org/abs/2503.23394
A naturalistic fMRI dataset in response to public speaking www.nature.com/articles/s41...
A naturalistic fMRI dataset in response to public speaking - Scientific Data
Scientific Data - A naturalistic fMRI dataset in response to public speaking
nature.com
Biological sex matters in brain aging www.cell.com/neuron/fullt...
Biological sex matters in brain aging
Every cell in the body has a biological sex. The expansion of aging research to investigate female- and male-specific biology heralds a major advance for human health. Unraveling and harnessing mechanistic etiologies of sex differences may reveal new diagnostics and therapeutics for the aging brain.
cell.com
www.nature.com/articles/s41...
Considering the interconnected nature of social identities in neuroimaging research - Nature Neuroscience
Individual variability in behavior is influenced by social identities. Here, Dhamala et al. discuss the need to incorporate social identities in neuroimaging studies of behavior and explore how to fos...
nature.com
Do octopuses dream? In any case, can't get enough of watching them sleep 😴🐙 Look at this symphony of patterns and movements! Incredible. youtu.be/006DjAixu9E?...
Do octopuses dream? Brain recordings provide the first clues
YouTube video by nature video
youtu.be