BACKGROUND/AIM: The aim of this study was to examine the discriminatory power of quantitative EEG (qEEG) applying the statistical pattern recognition (SPR) method to separate Alzheimer's disease (AD) patients from elderly individuals without dementia and from other dementia patients. METHODS: The participants were recruited from 6 Nordic memory clinics: 372 unselected patients [mean age 71.7 years (SD 8.6), 54% women] and 146 healthy elderly individuals [mean age 66.5 years (SD 7.7), 60% women]. After a standardized and comprehensive assessment, clinical diagnoses were made according to internationally accepted criteria by at least 2 clinicians. EEGs were recorded in a standardized way and analyzed independently of the clinical diagnoses, using the SPR method. RESULTS: In receiver operating characteristic curve analyses, the qEEGs separated AD patients from healthy elderly individuals with an area under the curve (AUC) of 0.90, representing a sensitivity of 84% and a specificity of 81%. The qEEGs further separated patients with Lewy body dementia or Parkinson's disease dementia from AD patients with an AUC of 0.9, a sensitivity of 85% and a specificity of 87%. CONCLUSION: qEEG using the SPR method could be a useful tool in dementia diagnostic workup.
BACKGROUND/AIM: The aim of this study was to examine the discriminatory power of quantitative EEG (qEEG) applying the statistical pattern recognition (SPR) method to separate Alzheimer's disease (AD) patients from elderly individuals without dementia and from other dementiapatients. METHODS: The participants were recruited from 6 Nordic memory clinics: 372 unselected patients [mean age 71.7 years (SD 8.6), 54% women] and 146 healthy elderly individuals [mean age 66.5 years (SD 7.7), 60% women]. After a standardized and comprehensive assessment, clinical diagnoses were made according to internationally accepted criteria by at least 2 clinicians. EEGs were recorded in a standardized way and analyzed independently of the clinical diagnoses, using the SPR method. RESULTS: In receiver operating characteristic curve analyses, the qEEGs separated ADpatients from healthy elderly individuals with an area under the curve (AUC) of 0.90, representing a sensitivity of 84% and a specificity of 81%. The qEEGs further separated patients with Lewy body dementia or Parkinson's disease dementia from ADpatients with an AUC of 0.9, a sensitivity of 85% and a specificity of 87%. CONCLUSION: qEEG using the SPR method could be a useful tool in dementia diagnostic workup.
Authors: Harald Hampel; Nicola Toschi; Claudio Babiloni; Filippo Baldacci; Keith L Black; Arun L W Bokde; René S Bun; Francesco Cacciola; Enrica Cavedo; Patrizia A Chiesa; Olivier Colliot; Cristina-Maria Coman; Bruno Dubois; Andrea Duggento; Stanley Durrleman; Maria-Teresa Ferretti; Nathalie George; Remy Genthon; Marie-Odile Habert; Karl Herholz; Yosef Koronyo; Maya Koronyo-Hamaoui; Foudil Lamari; Todd Langevin; Stéphane Lehéricy; Jean Lorenceau; Christian Neri; Robert Nisticò; Francis Nyasse-Messene; Craig Ritchie; Simone Rossi; Emiliano Santarnecchi; Olaf Sporns; Steven R Verdooner; Andrea Vergallo; Nicolas Villain; Erfan Younesi; Francesco Garaci; Simone Lista Journal: J Alzheimers Dis Date: 2018 Impact factor: 4.472
Authors: Claudio Babiloni; Xianghong Arakaki; Hamed Azami; Karim Bennys; Katarzyna Blinowska; Laura Bonanni; Ana Bujan; Maria C Carrillo; Andrzej Cichocki; Jaisalmer de Frutos-Lucas; Claudio Del Percio; Bruno Dubois; Rebecca Edelmayer; Gary Egan; Stephane Epelbaum; Javier Escudero; Alan Evans; Francesca Farina; Keith Fargo; Alberto Fernández; Raffaele Ferri; Giovanni Frisoni; Harald Hampel; Michael G Harrington; Vesna Jelic; Jaeseung Jeong; Yang Jiang; Maciej Kaminski; Voyko Kavcic; Kerry Kilborn; Sanjeev Kumar; Alice Lam; Lew Lim; Roberta Lizio; David Lopez; Susanna Lopez; Brendan Lucey; Fernando Maestú; William J McGeown; Ian McKeith; Davide Vito Moretti; Flavio Nobili; Giuseppe Noce; John Olichney; Marco Onofrj; Ricardo Osorio; Mario Parra-Rodriguez; Tarek Rajji; Petra Ritter; Andrea Soricelli; Fabrizio Stocchi; Ioannis Tarnanas; John Paul Taylor; Stefan Teipel; Federico Tucci; Mitchell Valdes-Sosa; Pedro Valdes-Sosa; Marco Weiergräber; Gorsev Yener; Bahar Guntekin Journal: Alzheimers Dement Date: 2021-04-15 Impact factor: 16.655
Authors: Ruth A Cromarty; Greg J Elder; Sara Graziadio; Mark Baker; Laura Bonanni; Marco Onofrj; John T O'Brien; John-Paul Taylor Journal: Clin Neurophysiol Date: 2015-06-27 Impact factor: 3.708
Authors: Myrto Stylianou; Nicholas Murphy; Luis R Peraza; Sara Graziadio; Ruth Cromarty; Alison Killen; John T O' Brien; Alan J Thomas; Fiona E N LeBeau; John-Paul Taylor Journal: Clin Neurophysiol Date: 2018-04-03 Impact factor: 3.708
Authors: Lars Michels; Muthuraman Muthuraman; Abdul R Anwar; Spyros Kollias; Sandra E Leh; Florian Riese; Paul G Unschuld; Michael Siniatchkin; Anton F Gietl; Christoph Hock Journal: Front Aging Neurosci Date: 2017-09-20 Impact factor: 5.750
Authors: Sean J Colloby; Ruth A Cromarty; Luis R Peraza; Kristinn Johnsen; Gísli Jóhannesson; Laura Bonanni; Marco Onofrj; Robert Barber; John T O'Brien; John-Paul Taylor Journal: J Psychiatr Res Date: 2016-03-25 Impact factor: 4.791