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Grey matter network markers identify individuals with prodr..:

Pelkmans, Wiesje ; Vromen, Ellen M ; Dicks, Ellen...
https://discovery.ucl.ac.uk/id/eprint/10146865/1/Grey%20matter%20network%20markers%20identify%20individuals%20with%20prodromal%20Alzheimers%20disease%20who%20will%20show%20rapid%20clinical%20decline.pdf. , 2022

Link: https://discovery.ucl.ac.uk/id/eprint/10146865/1/Grey%..

RT Journal
T1 <Title>Grey matter network markers identify individuals with prodromal Alzheimer's disease who will show rapid clinical decline</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:10146865&Exemplar=1&LAN=DE
				
A1 Pelkmans, Wiesje
A1 Vromen, Ellen M
A1 Dicks, Ellen
A1 Scheltens, Philip
A1 Teunissen, Charlotte E
A1 Barkhof, Frederik
A1 van der Flier, Wiesje M
A1 Tijms, Betty M
A1 Alzheimer's Disease Neuroimaging Initiative
PB Oxford University Press (OUP)
YR 2022
K1 Alzheimer's disease
K1 clinical progression
K1 graph theory
K1 grey matter networks
K1 mild cognitive impairment
JF https://discovery.ucl.ac.uk/id/eprint/10146865/1/Grey%20matter%20network%20markers%20identify%20individuals%20with%20prodromal%20Alzheimers%20disease%20who%20will%20show%20rapid%20clinical%20decline.pdf
LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/10146865/1/Grey%20matter%20network%20markers%20identify%20individuals%20with%20prodromal%20Alzheimers%20disease%20who%20will%20show%20rapid%20clinical%20decline.pdf
DO https://discovery.ucl.ac.uk/id/eprint/10146865/1/Grey%20matter%20network%20markers%20identify%20individuals%20with%20prodromal%20Alzheimers%20disease%20who%20will%20show%20rapid%20clinical%20decline.pdf
SF ELIB - SuUB Bremen

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