Ke Xie

✨What makes the brain's functional organization different in each #TLE patient? 🧠 ✨We used a large sample (298 healthy adults, 282 TLE, 45 disease controls) + normative modeling to capture individualized functional disruptions. #epilepsy #neuroimaging doi.org/10.1101/2025.0…

🚨 We're hiring! Join our team at @Duke_Neurology as a Post-Doctoral Fellow in engineering/computational neuroscience to push the frontiers of #epilepsy and #sleep research with #AI! Interested? Check out our website (anphylab.com/join-us) and the job details below! 👇

Check out this cool new cross-sectional transdiagnostic dataset recently released by @SidChop and colleagues 🧠👏 Download link: openneuro.org/datasets/ds005… nature.com/articles/s4159…

🚨 Postdoc Positions at Montreal Neurological Institute's Personalized Medicine lab for multi-omics, neuroimaging and computational modeling of neurodegeneration (AD,PD,ALS). See neuropm-lab.com/open-positions…. Example work👉 science.org/doi/10.1126/sc…

🚨 Our multicenter study by @dr_chifa on visual #SEEG features in #epilepsysurgery is now out in @ANA_journals @WileyNeuro! 🔎 Key finding: Spatial co-occurrence of gamma-spikes + preictal spikes best predicted #seizure freedom! Check it out 👉 onlinelibrary.wiley.com/doi/10.1002/an…

Our new paper with Applied Cognition in @natBME . Using a wearable device that captures different determinants of glymphatic activity to define sleep-related features of glymphatic function in the human brain. nature.com/articles/s4155…

📣 Just came out on the green journal! Our study demonstrates Magnetic Resonance Fingerprinting (MRF), combined with deep learning, enables whole-brain automated detection of focal cortical dysplasia, even in cases hard-to-identify by conventional MRI. neurology.org/doi/10.1212/WN…

Check out our new review on the history and future of resting state fMRI 🧠 @restingstate @Nature nature.com/articles/s4158…

Finally out in Nat. Comms. Bio.! Here we show that the peri-natal period of infancy is associated with a transition from synchronous, redundancy-dominated brain activity, to higher-order, synergistic patterns. 1/N nature.com/articles/s4200…

📢 NEW podcast: @HugoAerts and @Dr_RayMak join us to discuss their group's paper on FageAge: a #DeepLearning system to estimate biological age from face photographs. @MassGenBrigham Listen here: thelancet.com/multimedia/pod… Read the paper here: thelancet.com/journals/landi…

First tweet on an exciting new manuscript online @NatureNeuro - in collab with @LucinaUddin and Catie Chang. We take a fresh look at the physiological dynamics associated with the global signal 🧠... #neuroscience #neuroimaging #fMRI Read here: rdcu.be/ek01F

🎨🧑‍🎨 Looking for a tool to visualize subcortical/thalamic data in 2D? Check out this python-based package I put together (subcortex-visualization on PyPI) + a guide to create your own custom atlas meshes and vector graphics! All feedback/tips welcome 😊 anniegbryant.github.io/subcortex_visu…

How can we better predict if a child’s brain tumor will return—before symptoms start? In our new study @NEJM_AI, we used deep learning to analyze longitudinal brain MRIs—learning how scans change over time—to predict tumor recurrence in children. Let’s dive in. 🧠📊 👇 🧵1/

We started this as a “small side project” just to check what's what and expecting it to be wrapped up in about 3 months tops. 3 years and about 7 billion in-silico lesions after, the VOR is finally out in @eLife: elifesciences.org/articles/101780