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deep learning

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

May 19, 2022 by SharpBrains

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 gaps in var­i­ous forms of demen­tia, includ­ing mild cog­ni­tive impair­ment (MCI), Alzheimer’s dis­ease (AD), fron­totem­po­ral demen­tia (FTD), and Lewy body demen­tia (LBD), as well as in nor­mal brains.

[Read more…] about Deep learn­ing mod­el built on neu­roimag­ing data iden­ti­fies “Brain Age Gaps” as mark­ers of Alzheimer’s dis­ease (AD)

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Filed Under: Brain/ Mental Health, Technology & Innovation Tagged With: AD, AD biomarker, Alzheimer’s Disease, brain-aging, Cognitive-impairment, deep learning, disease, frontotemporal dementia, Lewy body dementia, mild-cognitive-impairment, neurodegenerative, neurodegenerative disease

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

January 22, 2021 by SharpBrains

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 sen­sors and deep-learn­ing algo­rithms. In oth­er words, we have shown for the first time that it’s pos­si­ble to do this,” study inves­ti­ga­tor Jian­bin Tang, MA, Data Sci­ence Project Lead, IBM Research Aus­tralia, Vic­to­ria, told Med­scape Med­ical News. [Read more…] about Study: Wear­able sen­sors and machine learn­ing may well (one day) help detect a broad range of epilep­tic seizures

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Filed Under: Brain/ Mental Health, Technology & Innovation Tagged With: acceptability, deep learning, EEG, epilepsy, mHealth, seizure detection, wearables

From Angry Birds to brain mapping: The Gamification of Neuroscience

June 11, 2018 by SharpBrains

Mouse Reti­nal Neu­rons (Type 25), per Eye­Wire Museum

___

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 could do.” [Read more…] about From Angry Birds to brain map­ping: The Gam­i­fi­ca­tion of Neuroscience

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Filed Under: Technology & Innovation Tagged With: AI, angry birds, brain mapping, Connectome, deep learning, digital, EyeWire, game, mental effort

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