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brain development
Trends
- 1
Karl Deisseroth, the Stanford University bioengineer and psychiatrist known for pioneering optogenetics, is featured in an interview published by the Nobel Prize organization. Deisseroth, who won the 2012 Lundbeck-K_Initiation no, correction: he received the Breakthrough Prize and other honors for developing light-based tools to control brain cells, discusses his work on how neural circuits relate to behavior and mental illness. The interview is drawing interest from audiences following neuroscience and medicine.
- 2Deisseroth, Hegemann and Nagel win 2026 Nobel Prize in Medicineโ2026 Nobel Prize in Physiology or Medicine: Deisseroth, Hegemann, Nagel
Karl Deisseroth, Peter Hegemann and Georg Nagel have been awarded the 2026 Nobel Prize in Physiology or Medicine for the development of optogenetics, a technique that uses light to control nerve cells. The work grew out of light-sensitive proteins discovered in algae and has transformed how researchers study brain circuits and neurological disorders.
- 3
Christa Pike, the only woman on death row in Tennessee, briefly appeared brain-dead before waking up 'to the shock of everyone,' according to her attorneys. The development has drawn widespread attention to her long-running capital case and to the state's execution process, with her legal team now raising new questions about her condition and fate.
- 4Rice University promotes brain economy initiative at the UNโFrom global conversation to local action: Rice advances brain economy at UN
Rice University reports it advanced the concept of a 'brain economy' at the United Nations, framing a shift from global conversation to local action. The initiative, linked to the university's BrainHealth Institute work, argues that investing in brain health can drive economic and social development. Details beyond the university's own announcement are limited so far.
- 5Spiking neural network learns to predict future eventsโA spiking neural network learns to predict what will happen, when, and how likely
Researchers have developed a spiking neural network, a brain-inspired computing model, that can predict what will happen next, when it will happen, and how probable it is. The work combines predictive learning with spiking dynamics, offering a more biologically realistic approach to forecasting than conventional artificial neural networks.
- 6New MRI Physics Method Predicts Brain Tumor Stiffness Before SurgeryโRandom-Walk MRI Physics Predicts How Hard a Brain Tumor Is Before Surgery
Researchers have developed a random-walk MRI physics technique that can estimate how firm a brain tumor is before an operation. Tumor stiffness affects how easily surgeons can remove tissue, so knowing it in advance could help them plan safer procedures and anticipate which tumors will be difficult to extract without opening the skull.