𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜𝐚𝐥 𝐒𝐢𝐠𝐧𝐚𝐭𝐮𝐫𝐞' 𝐨𝐟 𝐒𝐜𝐡𝐢𝐳𝐨𝐩𝐡𝐫𝐞𝐧𝐢𝐚 𝐚𝐧𝐝 𝐁𝐢𝐩𝐨𝐥𝐚𝐫 𝐃𝐢𝐬𝐨𝐫𝐝𝐞𝐫 скачать в хорошем качестве

𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜𝐚𝐥 𝐒𝐢𝐠𝐧𝐚𝐭𝐮𝐫𝐞' 𝐨𝐟 𝐒𝐜𝐡𝐢𝐳𝐨𝐩𝐡𝐫𝐞𝐧𝐢𝐚 𝐚𝐧𝐝 𝐁𝐢𝐩𝐨𝐥𝐚𝐫 𝐃𝐢𝐬𝐨𝐫𝐝𝐞𝐫

Johns Hopkins researchers used patient-derived mini-brain organoids + machine learning to decode unique electrical signatures of schizophrenia and bipolar disorder. Organoids grown from blood/skin cells form tiny 3D brains with neurons and myelin, placed on electrode chips that simulate EEG. Neural activity patterns identified disorders with 83% accuracy — and after applying weak electrical stimuli to amplify impulses, accuracy jumped to 92%. These electrophysiological signatures reveal disorder-specific neuron breakage and time-scale activity changes, offering better diagnostics and a drug-testing platform. Published in Bioengineering, this breakthrough could transform molecular-level understanding, diagnosis, and therapy for mental illness. If you found this fascinating, please like and share! #Organoids #Neuroscience #EEG #MachineLearning #MentalHealth