Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer's disease
Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neuro...
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Published in | Neurobiology of aging Vol. 36; no. 2; pp. 556 - 570 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.02.2015
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Subjects | |
Online Access | Get full text |
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Abstract | Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging. Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density, estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8–10.5 Hz) and alpha 2 (10.5–13 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results showed a positive correlation between occipital gray matter density and amplitude of occipital alpha 1 sources in Nold, MCI, and AD subjects as a whole group (r = 0.3, p = 0.000004, N = 235). Furthermore, there was a positive correlation between the amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Examination score across all subjects (r = 0.38, p = 0.000001, N = 235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the receiver operating characteristic curve: 0.81). These results suggest that the amplitude of occipital sources of resting-state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathologic aging. |
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AbstractList | Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging. Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density, estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8-10.5 Hz) and alpha 2 (10.5-13 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results showed a positive correlation between occipital gray matter density and amplitude of occipital alpha 1 sources in Nold, MCI, and AD subjects as a whole group (r = 0.3, p = 0.000004, N = 235). Furthermore, there was a positive correlation between the amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Examination score across all subjects (r = 0.38, p = 0.000001, N = 235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the receiver operating characteristic curve: 0.81). These results suggest that the amplitude of occipital sources of resting-state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathologic aging. Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging. Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density, estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8–10.5 Hz) and alpha 2 (10.5–13 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results showed a positive correlation between occipital gray matter density and amplitude of occipital alpha 1 sources in Nold, MCI, and AD subjects as a whole group (r = 0.3, p = 0.000004, N = 235). Furthermore, there was a positive correlation between the amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Examination score across all subjects (r = 0.38, p = 0.000001, N = 235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the receiver operating characteristic curve: 0.81). These results suggest that the amplitude of occipital sources of resting-state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathologic aging. Abstract Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging. Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density, estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8–10.5 Hz) and alpha 2 (10.5–13 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results showed a positive correlation between occipital gray matter density and amplitude of occipital alpha 1 sources in Nold, MCI, and AD subjects as a whole group (r = 0.3, p = 0.000004, N = 235). Furthermore, there was a positive correlation between the amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Examination score across all subjects (r = 0.38, p = 0.000001, N = 235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the receiver operating characteristic curve: 0.81). These results suggest that the amplitude of occipital sources of resting-state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathologic aging. Occipital sources of resting state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Here we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging (MRI). Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density (GMD), estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8–10.5 Hz) and alpha 2 (10.5–13 Hz). EEG cortical sources were estimated by low resolution brain electromagnetic tomography (LORETA). Results showed a positive correlation between occipital GMD and amplitude of occipital alpha 1 sources in Nold, MCI and AD subjects as a whole group (r=0.3, p=0.000004, N=235). Furthermore, there was a positive correlation between amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Evaluation (MMSE) score across all subjects (r=0.38, p=0.000001, N=235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the Receiver Operating Characteristic (ROC) curve: 0.81). These results suggest that the amplitude of occipital sources of resting state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathological aging. Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging. Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density, estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8-10.5 Hz) and alpha 2 (10.5-13 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results showed a positive correlation between occipital gray matter density and amplitude of occipital alpha 1 sources in Nold, MCI, and AD subjects as a whole group (r = 0.3, p = 0.000004, N = 235). Furthermore, there was a positive correlation between the amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Examination score across all subjects (r = 0.38, p = 0.000001, N = 235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the receiver operating characteristic curve: 0.81). These results suggest that the amplitude of occipital sources of resting-state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathologic aging.Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimer's disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging. Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density, estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8-10.5 Hz) and alpha 2 (10.5-13 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results showed a positive correlation between occipital gray matter density and amplitude of occipital alpha 1 sources in Nold, MCI, and AD subjects as a whole group (r = 0.3, p = 0.000004, N = 235). Furthermore, there was a positive correlation between the amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Examination score across all subjects (r = 0.38, p = 0.000001, N = 235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the receiver operating characteristic curve: 0.81). These results suggest that the amplitude of occipital sources of resting-state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathologic aging. |
Author | Lizio, Roberta Marzano, Nicola Emek-Savaş, Derya Durusu Del Percio, Claudio Frisoni, Giovanni B. Lopez, Susanna Rossini, Paolo M. Triggiani, Antonio Ivano Prestia, Annapaola Babiloni, Claudio Ferri, Raffaele Boccardi, Marina Soricelli, Andrea Famà, Francesco Carducci, Filippo Salinari, Serenella Gesualdo, Loreto Nobili, Flavio Basar, Erol Yener, Görsev Rasser, Paul E. Mundi, Ciro Thompson, Paul M. |
AuthorAffiliation | 3 IRCCS “S. Giovanni di Dio-F.B.F.”, Brescia, Italy 15 Dipartimento Emergenza e Trapianti d’Organi (D.E.T.O), University of Bari, Bari, Italy 10 Centre for Translational Neuroscience & Mental Health Research, The University of Newcastle, Newcastle, Australia 13 Service of Clinical Neurophysiology (DiNOGMI; DipTeC), IRCCS AOU S Martino-IST, Genoa, Italy 9 Department of Informatics and Systems “Antonio Ruberti”, University of Rome “Sapienza” 5 IRCCS SDN, Napoli, Italy 2 IRCCS San Raffaele Pisana, Roma, Italy 18 Dept. of Geriatrics, Neuroscience & Orthopedics, Institute of Neurology Catholic University “Sacro Cuore” Rome, Italy 11 Schizophrenia Research Institute, Sydney, Australia 12 Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul 34156, Turkey 7 IRCCS Oasi, Troina (Enna), Italy 14 Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey 6 Dep of Studies of Institutions and Territorial Systems, University of Naples Parthenope, Naples, Ita |
AuthorAffiliation_xml | – name: 4 University of Rome Sapienza, Rome, Italy – name: 7 IRCCS Oasi, Troina (Enna), Italy – name: 2 IRCCS San Raffaele Pisana, Roma, Italy – name: 3 IRCCS “S. Giovanni di Dio-F.B.F.”, Brescia, Italy – name: 16 Department of Neurology, Ospedali Riuniti, Foggia, Italy – name: 6 Dep of Studies of Institutions and Territorial Systems, University of Naples Parthenope, Naples, Italy – name: 12 Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul 34156, Turkey – name: 1 Department of Physiology and Pharmacology, University of Rome Sapienza, Rome, Italy – name: 10 Centre for Translational Neuroscience & Mental Health Research, The University of Newcastle, Newcastle, Australia – name: 15 Dipartimento Emergenza e Trapianti d’Organi (D.E.T.O), University of Bari, Bari, Italy – name: 13 Service of Clinical Neurophysiology (DiNOGMI; DipTeC), IRCCS AOU S Martino-IST, Genoa, Italy – name: 18 Dept. of Geriatrics, Neuroscience & Orthopedics, Institute of Neurology Catholic University “Sacro Cuore” Rome, Italy – name: 11 Schizophrenia Research Institute, Sydney, Australia – name: 17 Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology & Psychiatry, UCLA School of Medicine, Los Angeles, CA, USA – name: 9 Department of Informatics and Systems “Antonio Ruberti”, University of Rome “Sapienza” – name: 5 IRCCS SDN, Napoli, Italy – name: 14 Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey – name: 8 Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy |
Author_xml | – sequence: 1 givenname: Claudio surname: Babiloni fullname: Babiloni, Claudio email: claudio.babiloni@uniroma1.it organization: Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy – sequence: 2 givenname: Claudio surname: Del Percio fullname: Del Percio, Claudio organization: Department of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy – sequence: 3 givenname: Marina surname: Boccardi fullname: Boccardi, Marina organization: LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro “S. Giovanni di Dio-F.B.F.”, Brescia, Italy – sequence: 4 givenname: Roberta surname: Lizio fullname: Lizio, Roberta organization: Department of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy – sequence: 5 givenname: Susanna surname: Lopez fullname: Lopez, Susanna organization: Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy – sequence: 6 givenname: Filippo surname: Carducci fullname: Carducci, Filippo organization: Department of Physiology and Pharmacology, University of Rome “La Sapienza”, Rome, Italy – sequence: 7 givenname: Nicola surname: Marzano fullname: Marzano, Nicola organization: Department of Integrated Imaging, IRCCS SDN, Napoli, Italy – sequence: 8 givenname: Andrea surname: Soricelli fullname: Soricelli, Andrea organization: Department of Integrated Imaging, IRCCS SDN, Napoli, Italy – sequence: 9 givenname: Raffaele surname: Ferri fullname: Ferri, Raffaele organization: Department of Neurology, IRCCS Oasi Institute for Research on Mental Retardation and Brain Aging, Troina, Enna, Italy – sequence: 10 givenname: Antonio Ivano surname: Triggiani fullname: Triggiani, Antonio Ivano organization: Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy – sequence: 11 givenname: Annapaola surname: Prestia fullname: Prestia, Annapaola organization: LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro “S. Giovanni di Dio-F.B.F.”, Brescia, Italy – sequence: 12 givenname: Serenella surname: Salinari fullname: Salinari, Serenella organization: Department of Informatics and Systems “Antonio Ruberti”, University of Rome “La Sapienza”, Rome, Italy – sequence: 13 givenname: Paul E. surname: Rasser fullname: Rasser, Paul E. organization: Centre for Translational Neuroscience & Mental Health Research, The University of Newcastle, Newcastle, New South Wales, Australia – sequence: 14 givenname: Erol surname: Basar fullname: Basar, Erol organization: Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey – sequence: 15 givenname: Francesco surname: Famà fullname: Famà, Francesco organization: Department of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa, Italy – sequence: 16 givenname: Flavio surname: Nobili fullname: Nobili, Flavio organization: Department of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa, Italy – sequence: 17 givenname: Görsev surname: Yener fullname: Yener, Görsev organization: Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey – sequence: 18 givenname: Derya Durusu surname: Emek-Savaş fullname: Emek-Savaş, Derya Durusu organization: Brain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey – sequence: 19 givenname: Loreto surname: Gesualdo fullname: Gesualdo, Loreto organization: Dipartimento Emergenza e Trapianti d'Organi (D.E.T.O), University of Bari, Bari, Italy – sequence: 20 givenname: Ciro surname: Mundi fullname: Mundi, Ciro organization: Department of Neurology, Ospedali Riuniti, Foggia, Italy – sequence: 21 givenname: Paul M. surname: Thompson fullname: Thompson, Paul M. organization: Department of Neurology & Psychiatry, Imaging Genetics Center, Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA – sequence: 22 givenname: Paolo M. surname: Rossini fullname: Rossini, Paolo M. organization: Department of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy – sequence: 23 givenname: Giovanni B. surname: Frisoni fullname: Frisoni, Giovanni B. organization: LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro “S. Giovanni di Dio-F.B.F.”, Brescia, Italy |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25442118$$D View this record in MEDLINE/PubMed |
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Snippet | Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive... Abstract Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild... Occipital sources of resting state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive... |
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SubjectTerms | Aged Alzheimer Disease - pathology Alzheimer Disease - physiopathology Alzheimer's disease (AD) Cognitive Dysfunction - pathology Cognitive Dysfunction - physiopathology Electroencephalography Electroencephalography (EEG) Female Gray Matter - pathology Gray matter density (GMD) Humans Internal Medicine Magnetic Resonance Imaging Magnetic resonance imaging (MRI) Male Mild cognitive impairment (MCI) Neurology Neuropsychological Tests Occipital Lobe - physiopathology Rest - physiology |
Title | Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer's disease |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0197458014006071 https://www.clinicalkey.es/playcontent/1-s2.0-S0197458014006071 https://dx.doi.org/10.1016/j.neurobiolaging.2014.09.011 https://www.ncbi.nlm.nih.gov/pubmed/25442118 https://www.proquest.com/docview/1652450486 https://www.proquest.com/docview/1673383516 https://pubmed.ncbi.nlm.nih.gov/PMC4315728 |
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