Claudio Babiloni1, Claudio Del Percio2, Roberta Lizio3, Giuseppe Noce2, Susanna Lopez4, Andrea Soricelli5, Raffaele Ferri6, Maria Teresa Pascarelli6, Valentina Catania6, Flavio Nobili7, Dario Arnaldi7, Francesco Famà7, Francesco Orzi8, Carla Buttinelli8, Franco Giubilei8, Laura Bonanni9, Raffaella Franciotti9, Marco Onofrj9, Paola Stirpe10, Peter Fuhr11, Ute Gschwandtner11, Gerhard Ransmayr12, Heinrich Garn13, Lucia Fraioli14, Michela Pievani15, Fabrizia D'Antonio16, Carlo De Lena16, Bahar Güntekin17, Lutfu Hanoğlu18, Erol Başar19, Görsev Yener19, Derya Durusu Emek-Savaş20, Antonio Ivano Triggiani21, John Paul Taylor22, Maria Francesca De Pandis14, Laura Vacca23, Giovanni B Frisoni24, Fabrizio Stocchi10. 1. Department of Physiology and Pharmacology "Vittorio Erspamer", University of Rome "La Sapienza", Rome, Italy; Institute for Research and Medical Care, IRCCS San Raffaele Pisana di Roma e di Cassino, Rome, Italy. Electronic address: claudio.babiloni@uniroma1.it. 2. Department of Integrated Imaging, IRCCS SDN, Naples, Italy. 3. Department of Physiology and Pharmacology "Vittorio Erspamer", University of Rome "La Sapienza", Rome, Italy; Institute for Research and Medical Care, IRCCS San Raffaele Pisana di Roma e di Cassino, Rome, Italy. 4. Department of Physiology and Pharmacology "Vittorio Erspamer", University of Rome "La Sapienza", Rome, Italy. 5. Department of Integrated Imaging, IRCCS SDN, Naples, Italy; Department of Motor Sciences and Healthiness, University of Naples Parthenope, Naples, Italy. 6. Department of Neurology, IRCCS Oasi Institute for Research on Mental Retardation and Brain Aging, Troina, Enna, Italy. 7. Clinical Neurology, Dept of Neuroscience (DiNOGMI), University of Genoa and IRCCS AOU S Martino-IST, Genoa, Italy. 8. Department of Neuroscience, Mental Health and Sensory Organs, University of Rome "La Sapienza", Rome, Italy. 9. Department of Neuroscience Imaging and Clinical Sciences and CESI, University G d'Annunzio of Chieti-Pescara, Chieti, Italy. 10. Institute for Research and Medical Care, IRCCS San Raffaele Pisana di Roma e di Cassino, Rome, Italy. 11. Universitätsspital Basel, Abteilung Neurophysiologie, Petersgraben 4, 4031 Basel, Switzerland. 12. Department of Neurology 2, Med Campus III, Faculty of Medicine, Johannes Kepler University, Kepler University Hospital, Krankenhausstr. 9, A-4020 Linz, Austria. 13. AIT Austrian Institute of Technology GmbH, Vienna, Austria. 14. Hospital San Raffaele of Cassino, Italy. 15. Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. 16. Department of Neurology and Psychiatry, Sapienza, University of Rome, Italy. 17. Istanbul Medipol University, Istanbul, Turkey. 18. Department of Neurology, University of Istanbul-Medipol, Istanbul, Turkey. 19. Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey; Department of Neurology, Dokuz Eylül University Medical School, Izmir, Turkey. 20. Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey; Department of Psychology, Dokuz Eylül University, Izmir, Turkey. 21. Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy. 22. Institute of Neuroscience, Newcastle University, Newcastle, UK. 23. Casa di Cura Privata del Policlinico (CCPP) Milano SpA, Milan, Italy. 24. Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland.
Abstract
OBJECTIVE: This study tested the hypothesis that markers of functional cortical source connectivity of resting state eyes-closed electroencephalographic (rsEEG) rhythms may be abnormal in subjects with mild cognitive impairment due to Alzheimer's (ADMCI) and Parkinson's (PDMCI) diseases compared to healthy elderly subjects (Nold). METHODS: rsEEG data had been collected in ADMCI, PDMCI, and Nold subjects (N = 75 for any group). eLORETA freeware estimated functional lagged linear connectivity (LLC) from rsEEG cortical sources. Area under receiver operating characteristic (AUROC) curve indexed the accuracy in the classification of Nold and MCI individuals. RESULTS: Posterior interhemispheric and widespread intrahemispheric alpha LLC solutions were abnormally lower in both MCI groups compared to the Nold group. At the individual level, AUROC curves of LLC solutions in posterior alpha sources exhibited moderate accuracies (0.70-0.72) in the discrimination of Nold vs. ADMCI-PDMCI individuals. No differences in the LLC solutions were found between the two MCI groups. CONCLUSIONS: These findings unveil similar abnormalities in functional cortical connectivity estimated in widespread alpha sources in ADMCI and PDMCI. This was true at both group and individual levels. SIGNIFICANCE: The similar abnormality of alpha source connectivity in ADMCI and PDMCI subjects might reflect common cholinergic impairment.
OBJECTIVE: This study tested the hypothesis that markers of functional cortical source connectivity of resting state eyes-closed electroencephalographic (rsEEG) rhythms may be abnormal in subjects with mild cognitive impairment due to Alzheimer's (ADMCI) and Parkinson's (PDMCI) diseases compared to healthy elderly subjects (Nold). METHODS: rsEEG data had been collected in ADMCI, PDMCI, and Nold subjects (N = 75 for any group). eLORETA freeware estimated functional lagged linear connectivity (LLC) from rsEEG cortical sources. Area under receiver operating characteristic (AUROC) curve indexed the accuracy in the classification of Nold and MCI individuals. RESULTS: Posterior interhemispheric and widespread intrahemispheric alpha LLC solutions were abnormally lower in both MCI groups compared to the Nold group. At the individual level, AUROC curves of LLC solutions in posterior alpha sources exhibited moderate accuracies (0.70-0.72) in the discrimination of Nold vs. ADMCI-PDMCI individuals. No differences in the LLC solutions were found between the two MCI groups. CONCLUSIONS: These findings unveil similar abnormalities in functional cortical connectivity estimated in widespread alpha sources in ADMCI and PDMCI. This was true at both group and individual levels. SIGNIFICANCE: The similar abnormality of alpha source connectivity in ADMCI and PDMCI subjects might reflect common cholinergic impairment.
Keywords:
Functional brain connectivity; Mild cognitive impairment due to Alzheimer’s disease (ADMCI); Mild cognitive impairment due to Parkinson’s disease (PDMCI); Resting state EEG rhythms
Authors: Julia Schumacher; John-Paul Taylor; Calum A Hamilton; Michael Firbank; Ruth A Cromarty; Paul C Donaghy; Gemma Roberts; Louise Allan; Jim Lloyd; Rory Durcan; Nicola Barnett; John T O'Brien; Alan J Thomas Journal: Alzheimers Res Ther Date: 2020-07-08 Impact factor: 6.982
Authors: Natalya V Ponomareva; Tatiana V Andreeva; Maria Protasova; Rodion N Konovalov; Marina V Krotenkova; Ekaterina P Kolesnikova; Daria D Malina; Elena V Kanavets; Andrey A Mitrofanov; Vitaly F Fokin; Sergey N Illarioshkin; Evgeny I Rogaev Journal: Front Neurosci Date: 2022-08-01 Impact factor: 5.152
Authors: Claudio Babiloni; Giuseppe Noce; Carlo Di Bonaventura; Roberta Lizio; Maria Teresa Pascarelli; Federico Tucci; Andrea Soricelli; Raffaele Ferri; Flavio Nobili; Francesco Famà; Eleonora Palma; Pierangelo Cifelli; Moira Marizzoni; Fabrizio Stocchi; Giovanni B Frisoni; Claudio Del Percio Journal: Front Neurol Date: 2020-10-23 Impact factor: 4.003