Tuning the brakes – Modulatory role of transcranial random noise stimulation on inhibition
Alekhya Mandali +8 more
doaj +1 more source
Blood-Brain Network-Based Polygenic Risk Scores Reveal Biomarker Signatures and the Progression of Alzheimer's Disease. [PDF]
Goldstein D +7 more
europepmc +1 more source
An intrinsic photoactive star‐shaped zinc phtalocyanine‐poly(L‐glutamic acid) (ZnPc‐PGA) nanoplatform for multimodal glioblastoma (GBM) therapy and brain‐targeted elivery. A ZnPc‐PGA‐based multifunctional theranostic nanocarrier platform enables image‐guided, multimodal GBM therapy. ZnPc‐PGA nanocarriers support the integration of fluorescence imaging,
Amina Benaicha‐Fernández +14 more
wiley +1 more source
Developmental and aging changes in brain network switching dynamics revealed by EEG phase synchronization. [PDF]
Perdikis D +3 more
europepmc +1 more source
McKim et al 2026: Synaptic connectome of a neurosecretory network in the Drosophila brain
Theresa H. McKim, Meet Zandawala
openalex +1 more source
Advancing brain tumor diagnosis: Deep siamese convolutional neural network as a superior model for MRI classification [PDF]
Gowtham Murugesan +2 more
openalex +1 more source
Electrocapillary Modulated Interfacial Tension Amplifies Liquid Metal Transduction
This study presented an electrocapillary‐enhanced magnetohydrodynamic pumping strategy that harnesses the Lorentz force and interfacial tension modulation of liquid metal droplets to achieve amplified fluidic power. The system enabled low‐voltage, self‐oscillating fluidic transduction with enhanced pressure and flow generation, supporting compact ...
Saba Firouznia +3 more
wiley +1 more source
Brain Network Signature of Autoscopic Phenomena in Humans. [PDF]
Wang S +8 more
europepmc +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source

