Validity of the Quantitative EEG Statistical Pattern Recognition Method in Diagnosing Alzheimer's Disease

被引：22
|
作者：
Ommundsen, Nina [1 ]
Engedal, Knut [1 ,2 ]
Oksengard, Anne Rita [1 ,3 ,4 ,5 ]
机构：
[1] Ullevaal Univ Hosp, Dept Geriatr Med, NO-0424 Oslo, Norway
[2] Ullevaal Univ Hosp, Norwegian Ctr Ageing & Hlth Res Educ & Serv Dev, NO-0424 Oslo, Norway
[3] Memory Clin, Dept Geriatr, Asker, Norway
[4] Baerum Hosp, Rud, Norway
[5] Karolinska Inst, NVS Dept, Sect Clin Geriatr, Karolinska Univ Hosp, Stockholm, Sweden
来源：
DEMENTIA AND GERIATRIC COGNITIVE DISORDERS | 2011年 / 31卷 / 03期
关键词：
Alzheimer's disease; Dementia; Diagnostics; Electroencephalography; Mild cognitive impairment; Validate; MILD COGNITIVE IMPAIRMENT; RESTING EEG; DEMENTIA; POPULATION; ACCURACY;
D O I：
10.1159/000324878
中图分类号：
R592 [老年病学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 100203 ;
摘要：
Aims: To evaluate the use of quantitative EEG (qEEG) statistical pattern recognition in diagnosing Alzheimer's disease (AD). Methods: qEEG was performed on 104 patients referred to a memory clinic. The qEEG results were compared to the clinical diagnosis made without access to the EEG results. Results: Of 30 patients with a clinical diagnosis of AD, 22 were test positive. Of the 74 patients without AD, 34 were test negative. The qEEG result was found to correlate with atrophy of the medial temporal lobe demonstrated on cerebral MRI (p = 0.002) and with scores on neuropsychological tests. Conclusion: The qEEG was poor at diagnosing AD, as it produced many false-positive results. Copyright (C) 2011 S. Karger AG, Basel
引用
收藏
页码：195 / 201
页数：7
相关论文
共 50 条
  • [1] Quantitative EEG using the Statistical Pattern Recognition method to detect Alzheimer's disease
    Engedal, Knut
    Oeksengaard, A.
    Ommundsen, N.
    Barca, M.
    Hoesteng, E.
    Fure, B.
    INTERNATIONAL PSYCHOGERIATRICS, 2011, 23 : S118 - S119
  • [2] Quantitative EEG in Alzheimer's disease
    Dierks, T
    Jelic, V
    Wahlund, LO
    Frölich, L
    Maurer, K
    Ihl, R
    NEUROBIOLOGY OF AGING, 2002, 23 (01) : S562 - S562
  • [3] Quantitative EEG Applying the Statistical Recognition Pattern Method: A Useful Tool in Dementia Diagnostic Workup
    Engedal, Knut
    Snaedal, Jon
    Hoegh, Peter
    Jelic, Vesna
    Andersen, Birgitte Bo
    Naik, Mala
    Wahlund, Lars-Olof
    Oeksengaard, Anne-Rita
    DEMENTIA AND GERIATRIC COGNITIVE DISORDERS, 2015, 40 (1-2) : 1 - 12
  • [4] QUANTITATIVE EEG ANALYSIS IN ALZHEIMER'S DISEASE
    Medvedeva, A.
    Vosnesenskaya, T.
    Sergeev, A.
    EUROPEAN JOURNAL OF NEUROLOGY, 2011, 18 : 349 - 349
  • [5] Analysis of the spatiotemporal EEG pattern in Alzheimer's disease
    Kim, HR
    Kim, SY
    Park, SJ
    Go, HJ
    Kim, DJ
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 1999, 34 (04) : 390 - 396
  • [6] CLASSIFICATION OF ALZHEIMER'S DISEASE AND MILD COGNITIVE IMPAIRMENT BY PATTERN RECOGNITION OF EEG POWER AND COHERENCE
    Akrofi, Kwaku
    Pal, Ranadip
    Baker, Mary C.
    Nutter, Brian S.
    Schiffer, Randolph W.
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 606 - 609
  • [7] Diagnostic value of quantitative EEG in Alzheimer's disease
    Bennys, K
    Rondouin, G
    Vergnes, C
    Touchon, J
    NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY, 2001, 31 (03): : 153 - 160
  • [8] Analyzing EEG Signals with Machine Learning for Diagnosing Alzheimer's Disease
    Podgorelec, V.
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2012, 18 (08) : 61 - 64
  • [9] Quantitative EEG applying the statistical recognition pattern method: a useful tool in the dementia diagnostic work-up
    Hogh, P.
    Engedal, K.
    Snaedal, J.
    Jelic, V.
    Andersen, B. B.
    Naik, M.
    Wahlund, L. O.
    Oksengaard, A. R.
    EUROPEAN JOURNAL OF NEUROLOGY, 2015, 22 : 122 - 122
  • [10] A novel method for diagnosing Alzheimer's disease using deep pyramid CNN based on EEG signals
    Xia, Wei
    Zhang, Ran
    Zhang, Xiao
    Usman, Muhammad
    HELIYON, 2023, 9 (04)
12345