Deep learning model built on neuroimaging data identifies “Brain Age Gaps” as markers of Alzheimer’s disease (AD)

By SharpBrains | May 19, 2022

Brain Age Gap is a Com­pos­ite Bio­mark­er for Demen­tia Pathol­o­gy or Sever­i­ty (GEN): Mayo Clin­ic sci­en­tists have devel­oped a com­pu­ta­tion­al mod­el that pre­dicts brain age using a large col­lec­tion of neu­roimag­ing data obtained using FDG-PET (flu­o­rodeoxyglu­cose positron emis­sion tomog­ra­phy) and struc­tur­al MRI (mag­net­ic res­o­nance imag­ing). The deep learn­ing-based mod­el tests the rela­tion­ship between brain age…

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Study: Wearable sensors and machine learning may well (one day) help detect a broad range of epileptic seizures

By SharpBrains | January 22, 2021

Wear­able Device Clears a First ‘Mile­stone’ in Seizure Detec­tion (Med­scape; requires sub­scrip­tion): A wrist-worn device that uses machine learn­ing accu­rate­ly detects dif­fer­ent seizure types in find­ings that have the poten­tial to rev­o­lu­tion­ize the man­age­ment of patients with epilep­sy. “We have set a first bench­mark for auto­mat­ic detec­tion of a vari­ety of epilep­tic seizures using wearable…

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From Angry Birds to brain mapping: The Gamification of Neuroscience

By SharpBrains | June 11, 2018

___ A Quar­ter Mil­lion Gamers Helped Build This Incred­i­bly Detailed Map of the Brain (Sin­gu­lar­i­ty­Hub): “In 2012, when Angry Birds was in its prime, Seung had an inspi­ra­tion. “What if,” he won­dered, “we could cap­ture even a small frac­tion of the men­tal effort that goes into Angry Birds (for brain map­ping)? Think of what we…

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