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Items: 1 to 20 of 117

1.

Clustering and modeling of EEG coherence features of Alzheimer's and mild cognitive impairment patients.

Akrofi K, Baker MC, O'Boyle MW, Schiffer RB.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:1092-5. doi: 10.1109/IEMBS.2008.4649350.

PMID:
19162853
2.

The I.F.A.S.T. model allows the prediction of conversion to Alzheimer disease in patients with mild cognitive impairment with high degree of accuracy.

Buscema M, Grossi E, Capriotti M, Babiloni C, Rossini P.

Curr Alzheimer Res. 2010 Mar;7(2):173-87.

PMID:
19860726
3.

Techniques for early detection of Alzheimer's disease using spontaneous EEG recordings.

Woon WL, Cichocki A, Vialatte F, Musha T.

Physiol Meas. 2007 Apr;28(4):335-47.

PMID:
17395990
4.

Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG).

Lehmann C, Koenig T, Jelic V, Prichep L, John RE, Wahlund LO, Dodge Y, Dierks T.

J Neurosci Methods. 2007 Apr 15;161(2):342-50.

PMID:
17156848
5.

Electroencephalogram global field synchronization analysis: a new method for assessing the progress of cognitive decline in Alzheimer's disease.

Ma CC, Liu AJ, Liu AH, Zhou XY, Zhou SN.

Clin EEG Neurosci. 2014 Apr;45(2):98-103. doi: 10.1177/1550059413489669.

PMID:
23986293
6.

Usefulness of event-related potentials in the assessment of mild cognitive impairment.

Papaliagkas V, Kimiskidis V, Tsolaki M, Anogianakis G.

BMC Neurosci. 2008 Nov 5;9:107. doi: 10.1186/1471-2202-9-107.

7.

Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion.

Westman E, Muehlboeck JS, Simmons A.

Neuroimage. 2012 Aug 1;62(1):229-38. doi: 10.1016/j.neuroimage.2012.04.056.

PMID:
22580170
8.

Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus.

Colliot O, Chételat G, Chupin M, Desgranges B, Magnin B, Benali H, Dubois B, Garnero L, Eustache F, Lehéricy S.

Radiology. 2008 Jul;248(1):194-201. doi: 10.1148/radiol.2481070876.

PMID:
18458242
9.

The use of EEG in Alzheimer's disease, with and without scopolamine - a pilot study.

Snaedal J, Johannesson GH, Gudmundsson TE, Gudmundsson S, Pajdak TH, Johnsen K.

Clin Neurophysiol. 2010 Jun;121(6):836-41. doi: 10.1016/j.clinph.2010.01.008.

PMID:
20153691
10.

Directionality of EEG synchronization in Alzheimer's disease subjects.

Babiloni C, Ferri R, Binetti G, Vecchio F, Frisoni GB, Lanuzza B, Miniussi C, Nobili F, Rodriguez G, Rundo F, Cassarino A, Infarinato F, Cassetta E, Salinari S, Eusebi F, Rossini PM.

Neurobiol Aging. 2009 Jan;30(1):93-102.

PMID:
17573161
11.

A hybrid feature selection approach for the early diagnosis of Alzheimer's disease.

Gallego-Jutglà E, Solé-Casals J, Vialatte FB, Elgendi M, Cichocki A, Dauwels J.

J Neural Eng. 2015 Feb;12(1):016018. doi: 10.1088/1741-2560/12/1/016018.

PMID:
25605667
12.

Quantitative EEG in progressing vs stable mild cognitive impairment (MCI): results of a 1-year follow-up study.

Luckhaus C, Grass-Kapanke B, Blaeser I, Ihl R, Supprian T, Winterer G, Zielasek J, Brinkmeyer J.

Int J Geriatr Psychiatry. 2008 Nov;23(11):1148-55. doi: 10.1002/gps.2042.

PMID:
18537220
13.

Conversion from mild cognitive impairment to Alzheimer's disease is predicted by sources and coherence of brain electroencephalography rhythms.

Rossini PM, Del Percio C, Pasqualetti P, Cassetta E, Binetti G, Dal Forno G, Ferreri F, Frisoni G, Chiovenda P, Miniussi C, Parisi L, Tombini M, Vecchio F, Babiloni C.

Neuroscience. 2006 Dec;143(3):793-803.

PMID:
17049178
14.
15.

Is it possible to automatically distinguish resting EEG data of normal elderly vs. mild cognitive impairment subjects with high degree of accuracy?

Rossini PM, Buscema M, Capriotti M, Grossi E, Rodriguez G, Del Percio C, Babiloni C.

Clin Neurophysiol. 2008 Jul;119(7):1534-45. doi: 10.1016/j.clinph.2008.03.026.

PMID:
18485814
16.

Analysis of complexity based EEG features for the diagnosis of Alzheimer's disease.

Staudinger T, Polikar R.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:2033-6. doi: 10.1109/IEMBS.2011.6090374.

PMID:
22254735
17.

Entropy analysis of the EEG background activity in Alzheimer's disease patients.

Abásolo D, Hornero R, Espino P, Alvarez D, Poza J.

Physiol Meas. 2006 Mar;27(3):241-53.

PMID:
16462011
18.

Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment.

Teipel SJ, Born C, Ewers M, Bokde AL, Reiser MF, Möller HJ, Hampel H.

Neuroimage. 2007 Oct 15;38(1):13-24.

PMID:
17827035
20.

Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by Regional Homogeneity.

Zhang Z, Liu Y, Jiang T, Zhou B, An N, Dai H, Wang P, Niu Y, Wang L, Zhang X.

Neuroimage. 2012 Jan 16;59(2):1429-40. doi: 10.1016/j.neuroimage.2011.08.049.

PMID:
21907292

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