Results 141 to 150 of about 1,624,508 (197)

A predictive model of Parkinsonian brain aging based on brain imaging features. [PDF]

Front Neurol
Zhou X, Zhu H, Wang X, Gao Q.
europepmc   +1 more source

Real-world brain imaging in a population-based cohort enables accurate markers for dementia. [PDF]

Alzheimers Dement
Sund R, Seppänen J, Moradi E, Väänänen S, Miettinen J, Hakumäki J, Rikkonen T, Kröger H, Koivumaa-Honkanen H, Solomon A, Tohka J, for Alzheimer's Disease Neuroimaging Initiative.   +11 more
europepmc   +1 more source

MRS-BIDS, an extension to the Brain Imaging Data Structure for magnetic resonance spectroscopy. [PDF]

Sci Data
Bouchard AE, Wong D, Bogner W, Gau R, Halchenko YO, Lamb DG, Markiewicz CJ, Mullins PG, Niso G, Oeltzschner G, BIDS Maintainers, Clarke WT, Wilson M, Mikkelsen M.   +13 more
europepmc   +1 more source

Rapid adaptive optics enabling near noninvasive high-resolution brain imaging in awake behaving mice. [PDF]

Nat Commun
She Z, Fu Y, He Y, Yan G, Wu W, Qin Z, Qu J.   +6 more
europepmc   +1 more source

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Brain Imaging

Veterinary Clinics of North America: Small Animal Practice, 1996
Advances in medical technology have revolutionized diagnostic brain imaging. Traditional radiography and invasive contrast studies for intracranial imaging have been superseded by several newer imaging modalities which provide high resolution, cross-sectional images. Ultrasonography, computed tomography, magnetic resonance, and nuclear scintigraphy are
R L, Tucker, P R, Gavin
openaire   +3 more sources