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Items: 1 to 20 of 104

1.

Identifying patients with poststroke mild cognitive impairment by pattern recognition of working memory load-related ERP.

Li X, Yan Y, Wei W.

Comput Math Methods Med. 2013;2013:658501. doi: 10.1155/2013/658501. Epub 2013 Oct 23.

2.

Classification of EEG signals using a multiple kernel learning support vector machine.

Li X, Chen X, Yan Y, Wei W, Wang ZJ.

Sensors (Basel). 2014 Jul 17;14(7):12784-802. doi: 10.3390/s140712784.

3.

Poststroke QEEG informs early prognostication of cognitive impairment.

Schleiger E, Wong A, Read S, Rowland T, Finnigan S.

Psychophysiology. 2017 Feb;54(2):301-309. doi: 10.1111/psyp.12785. Epub 2016 Nov 7.

PMID:
28118690
4.

Event-related evoked potentials in Alzheimer's disease by a tool-using gesture paradigm.

Chan HL, Hsu WC, Meng LF, Sun MH.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:4299-301. doi: 10.1109/EMBC.2013.6610496.

PMID:
24110683
5.

Complexity of functional connectivity networks in mild cognitive impairment subjects during a working memory task.

Ahmadlou M, Adeli A, Bajo R, Adeli H.

Clin Neurophysiol. 2014 Apr;125(4):694-702. doi: 10.1016/j.clinph.2013.08.033. Epub 2014 Jan 7.

PMID:
24405905
6.

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. Epub 2006 Dec 6.

PMID:
17156848
7.

Absence of cerebral microbleeds predicts reversion of vascular 'cognitive impairment no dementia' in stroke.

Tang WK, Chen YK, Lu JY, Wong A, Mok V, Chu WC, Ungvari GS, Wong KS.

Int J Stroke. 2011 Dec;6(6):498-505. doi: 10.1111/j.1747-4949.2011.00682.x.

PMID:
22111793
8.

Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study.

Yuvaraj R, Murugappan M, Ibrahim NM, Omar MI, Sundaraj K, Mohamad K, Palaniappan R, Satiyan M.

J Integr Neurosci. 2014 Mar;13(1):89-120. doi: 10.1142/S021963521450006X. Epub 2014 Mar 11.

PMID:
24738541
9.

Attention and Working Memory-Related EEG Markers of Subtle Cognitive Deterioration in Healthy Elderly Individuals.

Deiber MP, Meziane HB, Hasler R, Rodriguez C, Toma S, Ackermann M, Herrmann F, Giannakopoulos P.

J Alzheimers Dis. 2015;47(2):335-49. doi: 10.3233/JAD-150111.

PMID:
26401557
10.

Detecting cognitive impairment by eye movement analysis using automatic classification algorithms.

Lagun D, Manzanares C, Zola SM, Buffalo EA, Agichtein E.

J Neurosci Methods. 2011 Sep 30;201(1):196-203. doi: 10.1016/j.jneumeth.2011.06.027. Epub 2011 Jul 27.

11.

The clinical utility of the auditory P300 latency subcomponent event-related potential in preclinical diagnosis of patients with mild cognitive impairment and Alzheimer's disease.

Howe AS, Bani-Fatemi A, De Luca V.

Brain Cogn. 2014 Apr;86:64-74. doi: 10.1016/j.bandc.2014.01.015. Epub 2014 Feb 22.

PMID:
24565814
12.

Binary classification of ¹⁸F-flutemetamol PET using machine learning: comparison with visual reads and structural MRI.

Vandenberghe R, Nelissen N, Salmon E, Ivanoiu A, Hasselbalch S, Andersen A, Korner A, Minthon L, Brooks DJ, Van Laere K, Dupont P.

Neuroimage. 2013 Jan 1;64:517-25. doi: 10.1016/j.neuroimage.2012.09.015. Epub 2012 Sep 14.

PMID:
22982358
13.

Reduced visual event-related δ oscillatory responses in amnestic mild cognitive impairment.

Yener GG, Kurt P, Emek-Savaş DD, Güntekin B, Başar E.

J Alzheimers Dis. 2013;37(4):759-67. doi: 10.3233/JAD-130569.

PMID:
23948923
14.

Event-related potentials and changes of brain rhythm oscillations during working memory activation in patients with first-episode psychosis.

Missonnier P, Herrmann FR, Zanello A, Badan Bâ M, Curtis L, Canovas D, Chantraine F, Richiardi J, Giannakopoulos P, Merlo MC.

J Psychiatry Neurosci. 2012 Feb;37(2):95-105. doi: 10.1503/jpn.110033.

15.

Diagnosis method of mild cognitive impairment based on power variance of EEG.

Ueda T, Musha T, Yagi T.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:6003-6. doi: 10.1109/EMBC.2013.6610920.

PMID:
24111107
16.

A new methodology for automated diagnosis of mild cognitive impairment (MCI) using magnetoencephalography (MEG).

Amezquita-Sanchez JP, Adeli A, Adeli H.

Behav Brain Res. 2016 May 15;305:174-80. doi: 10.1016/j.bbr.2016.02.035. Epub 2016 Mar 3.

PMID:
26940603
17.

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. Epub 2015 Jan 21.

PMID:
25605667
18.

Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG.

Jochumsen M, Niazi IK, Taylor D, Farina D, Dremstrup K.

J Neural Eng. 2015 Oct;12(5):056013. doi: 10.1088/1741-2560/12/5/056013. Epub 2015 Aug 25.

PMID:
26305233
19.

Delay of cognitive gamma responses in Alzheimer's disease.

Başar E, Emek-Savaş DD, Güntekin B, Yener GG.

Neuroimage Clin. 2016 Jan 20;11:106-15. doi: 10.1016/j.nicl.2016.01.015. eCollection 2016.

20.

Face short-term memory-related electroencephalographic patterns can differentiate multi- versus single-domain amnestic mild cognitive impairment.

Deiber MP, Ibáñez V, Herrmann F, Rodriguez C, Emch J, Missonnier P, Millet P, Gold G, Giannakopoulos P.

J Alzheimers Dis. 2011;26(1):157-69. doi: 10.3233/JAD-2011-110170.

PMID:
21558643

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