L
L-O Wahlund
Researcher at Karolinska Institutet
Publications - 51
Citations - 5892
L-O Wahlund is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Alzheimer's disease & Magnetic resonance imaging. The author has an hindex of 30, co-authored 50 publications receiving 5362 citations. Previous affiliations of L-O Wahlund include Karolinska University Hospital.
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Journal ArticleDOI
A New Rating Scale for Age-Related White Matter Changes Applicable to MRI and CT
L-O Wahlund,Frederik Barkhof,Franz Fazekas,Lena Bronge,M. Augustin,Magnus Sjögren,Anders Wallin,Herman J. Adèr,Didier Leys,Leonardo Pantoni,Florence Pasquier,Timo Erkinjuntti,Philip Scheltens +12 more
TL;DR: A new ARWMC scale applicable to both CT and MRI that has almost equal sensitivity, except for certain regions is presented, including frontal area and basal ganglia and infratentorial areas.
Journal ArticleDOI
Decreased EEG synchronization in Alzheimer's disease and mild cognitive impairment.
Thomas Koenig,Leslie S. Prichep,Thomas Dierks,D. Hubl,L-O Wahlund,Erwin Roy John,Vesna Jelic +6 more
TL;DR: The hypothesis of a functional disconnection of neuro-cognitive networks in patients with mild cognitive impairment (MCI) and Alzheimer Dementia was investigated using baseline resting EEG data, and patients showed decreased GFS values in Alpha, Beta, and Gamma frequency bands, and increased GFSvalues in the Delta band, confirming the hypothesized disconnection syndrome.
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Discrimination of Alzheimer's disease and mild cognitive impairment by equivalent EEG sources: a cross-sectional and longitudinal study.
TL;DR: It is concluded that localization and amplitude of equivalent EEG sources could be promising markers of early Alzheimer's disease and healthy aging.
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Quantitative electroencephalography in mild cognitive impairment: longitudinal changes and possible prediction of Alzheimer's disease
Vesna Jelic,Sven-Erik Johansson,Ove Almkvist,Masahiro Shigeta,Per Julin,Agneta Nordberg,Bengt Winblad,L-O Wahlund +7 more
TL;DR: A logistic regression model of baseline EEG values adjusted for baseline Mini-Mental Test Examination showed that the important predictors were alpha and theta relative power and mean frequency from left temporo-occipital derivation (T5-O1), which classified 85% of MCI subjects correctly.
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Impaired cerebral glucose metabolism and cognitive functioning predict deterioration in mild cognitive impairment.
TL;DR: Logistic regression indicated the two variables that most effectively predicted future development of AD were rCMRGlu from the left temporoparietal area and performance on the block design and these combined measures gave an optimal 90% correct classification rate.