Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment: Results from a Nordic Multicenter Cohort Study

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment : Results from a Nordic Multicenter Cohort Study. / Schjønning Nielsen, Malene; Simonsen, Anja Hviid; Siersma, Volkert; Engedal, Knut; Jelic, Vesna; Andersen, Birgitte Bo; Naik, Mala; Hasselbalch, Steen Gregers; Høgh, Peter.

In: Dementia and Geriatric Cognitive Disorders. Extra, Vol. 8, No. 3, 2018, p. 426-438.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Schjønning Nielsen, M, Simonsen, AH, Siersma, V, Engedal, K, Jelic, V, Andersen, BB, Naik, M, Hasselbalch, SG & Høgh, P 2018, 'Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment: Results from a Nordic Multicenter Cohort Study', Dementia and Geriatric Cognitive Disorders. Extra, vol. 8, no. 3, pp. 426-438. https://doi.org/10.1159/000490788

APA

Schjønning Nielsen, M., Simonsen, A. H., Siersma, V., Engedal, K., Jelic, V., Andersen, B. B., Naik, M., Hasselbalch, S. G., & Høgh, P. (2018). Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment: Results from a Nordic Multicenter Cohort Study. Dementia and Geriatric Cognitive Disorders. Extra, 8(3), 426-438. https://doi.org/10.1159/000490788

Vancouver

Schjønning Nielsen M, Simonsen AH, Siersma V, Engedal K, Jelic V, Andersen BB et al. Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment: Results from a Nordic Multicenter Cohort Study. Dementia and Geriatric Cognitive Disorders. Extra. 2018;8(3):426-438. https://doi.org/10.1159/000490788

Author

Schjønning Nielsen, Malene ; Simonsen, Anja Hviid ; Siersma, Volkert ; Engedal, Knut ; Jelic, Vesna ; Andersen, Birgitte Bo ; Naik, Mala ; Hasselbalch, Steen Gregers ; Høgh, Peter. / Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment : Results from a Nordic Multicenter Cohort Study. In: Dementia and Geriatric Cognitive Disorders. Extra. 2018 ; Vol. 8, No. 3. pp. 426-438.

Bibtex

@article{8378f50186c54a258642b56583865637,
title = "Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment: Results from a Nordic Multicenter Cohort Study",
abstract = "Aim: To examine diagnostic and prognostic potential of quantitative electroencephalography (qEEG) analyzed by the statistical pattern recognition (SPR) method in patients with cognitive impairment. We compared the differential diagnostic ability of SPR to visual EEG analysis. Correlation between SPR findings and cerebrospinal fluid (CSF) Alzheimer disease (AD) biomarkers were evaluated. Methods: It is a multicenter cohort study involving 129 patients, (mild cognitive impairment [MCI], AD, and healthy controls). Standardized EEG was performed at baseline. Patients were continuously clinically evaluated. Results: Receiver Operating Characteristic curves showed a low discriminative ability of SPR and no ability to predict clinical progression in patients with MCI. Moderate correlation between SPR analysis and CSF AD biomarkers was found. Conclusion: The diagnostic and prognostic abilities of qEEG were low. The SPR method was superior to the visual EEG analysis. The qEEG method correlates well to CSF AD biomarkers, suggesting association with pathology in AD.",
keywords = "Alzheimer disease, Amyloid, Biomarker, Cerebrospinal fluid, Diagnosis, Mild cognitive impairment, Prognosis, Quantitative electroencephalography, Tau protein",
author = "{Schj{\o}nning Nielsen}, Malene and Simonsen, {Anja Hviid} and Volkert Siersma and Knut Engedal and Vesna Jelic and Andersen, {Birgitte Bo} and Mala Naik and Hasselbalch, {Steen Gregers} and Peter H{\o}gh",
year = "2018",
doi = "10.1159/000490788",
language = "English",
volume = "8",
pages = "426--438",
journal = "Dementia and Geriatric Cognitive Disorders",
issn = "1420-8008",
publisher = "S Karger AG",
number = "3",

}

RIS

TY - JOUR

T1 - Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment

T2 - Results from a Nordic Multicenter Cohort Study

AU - Schjønning Nielsen, Malene

AU - Simonsen, Anja Hviid

AU - Siersma, Volkert

AU - Engedal, Knut

AU - Jelic, Vesna

AU - Andersen, Birgitte Bo

AU - Naik, Mala

AU - Hasselbalch, Steen Gregers

AU - Høgh, Peter

PY - 2018

Y1 - 2018

N2 - Aim: To examine diagnostic and prognostic potential of quantitative electroencephalography (qEEG) analyzed by the statistical pattern recognition (SPR) method in patients with cognitive impairment. We compared the differential diagnostic ability of SPR to visual EEG analysis. Correlation between SPR findings and cerebrospinal fluid (CSF) Alzheimer disease (AD) biomarkers were evaluated. Methods: It is a multicenter cohort study involving 129 patients, (mild cognitive impairment [MCI], AD, and healthy controls). Standardized EEG was performed at baseline. Patients were continuously clinically evaluated. Results: Receiver Operating Characteristic curves showed a low discriminative ability of SPR and no ability to predict clinical progression in patients with MCI. Moderate correlation between SPR analysis and CSF AD biomarkers was found. Conclusion: The diagnostic and prognostic abilities of qEEG were low. The SPR method was superior to the visual EEG analysis. The qEEG method correlates well to CSF AD biomarkers, suggesting association with pathology in AD.

AB - Aim: To examine diagnostic and prognostic potential of quantitative electroencephalography (qEEG) analyzed by the statistical pattern recognition (SPR) method in patients with cognitive impairment. We compared the differential diagnostic ability of SPR to visual EEG analysis. Correlation between SPR findings and cerebrospinal fluid (CSF) Alzheimer disease (AD) biomarkers were evaluated. Methods: It is a multicenter cohort study involving 129 patients, (mild cognitive impairment [MCI], AD, and healthy controls). Standardized EEG was performed at baseline. Patients were continuously clinically evaluated. Results: Receiver Operating Characteristic curves showed a low discriminative ability of SPR and no ability to predict clinical progression in patients with MCI. Moderate correlation between SPR analysis and CSF AD biomarkers was found. Conclusion: The diagnostic and prognostic abilities of qEEG were low. The SPR method was superior to the visual EEG analysis. The qEEG method correlates well to CSF AD biomarkers, suggesting association with pathology in AD.

KW - Alzheimer disease

KW - Amyloid

KW - Biomarker

KW - Cerebrospinal fluid

KW - Diagnosis

KW - Mild cognitive impairment

KW - Prognosis

KW - Quantitative electroencephalography

KW - Tau protein

U2 - 10.1159/000490788

DO - 10.1159/000490788

M3 - Journal article

C2 - 30631335

AN - SCOPUS:85057758740

VL - 8

SP - 426

EP - 438

JO - Dementia and Geriatric Cognitive Disorders

JF - Dementia and Geriatric Cognitive Disorders

SN - 1420-8008

IS - 3

ER -

ID: 213854793