Evidence map›Paper›PMID 25442118›Full record

ArticleNeurobiology of aging2015

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.

Claudio Babiloni, Claudio Del Percio, Marina Boccardi, Roberta Lizio, Susanna Lopez, Filippo Carducci, Nicola Marzano, Andrea Soricelli, Raffaele Ferri, Antonio Ivano Triggiani and 13 more

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. The effects of different acetylcholinesterase inhibitors on EEG patterns in patients with Alzheimer's disease: A systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Pooled it
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  9. BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis.Neural networks : the official journal of the International Neural Network Society · 2025
    Article
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  12. Quantitative electroencephalography (qEEG), apolipoprotein A-I (APOA-I), and apolipoprotein epsilon 4 (APOE ɛ4) alleles for the diagnosis of mild cognitive impairment and Alzheimer's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 15 institutions in 3 countries.

Claudio BabiloniDepartment of Physiology and Pharmacology, University of Rome "La Sapienza", Rome, Italy; Department of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy. Electronic address: claudio.babiloni@uniroma1.it.
Claudio Del PercioDepartment of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy.
Marina BoccardiLENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro "S. Giovanni di Dio-F.B.F.", Brescia, Italy.
Roberta LizioDepartment of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy.
Susanna LopezDepartment of Physiology and Pharmacology, University of Rome "La Sapienza", Rome, Italy.
Filippo CarducciDepartment of Physiology and Pharmacology, University of Rome "La Sapienza", Rome, Italy.
Nicola MarzanoDepartment of Integrated Imaging, IRCCS SDN, Napoli, Italy.
Andrea SoricelliDepartment of Integrated Imaging, IRCCS SDN, Napoli, Italy; Department of Studies of Institutions and Territorial Systems, University of Naples Parthenope, Naples, Italy.
Raffaele FerriDepartment of Neurology, IRCCS Oasi Institute for Research on Mental Retardation and Brain Aging, Troina, Enna, Italy.
Antonio Ivano TriggianiDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Annapaola PrestiaLENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro "S. Giovanni di Dio-F.B.F.", Brescia, Italy.
Serenella SalinariDepartment of Informatics and Systems "Antonio Ruberti", University of Rome "La Sapienza", Rome, Italy.
Paul E RasserCentre for Translational Neuroscience & Mental Health Research, The University of Newcastle, Newcastle, New South Wales, Australia; Schizophrenia Research Institute, Darlinghurst, New South Wales, Australia.
Erol BasarBrain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey.
Francesco FamàDepartment of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa, Italy.
Flavio NobiliDepartment of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa, Italy.
Görsev YenerBrain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey; Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey; Brain Dynamics Multidisciplinary Research Center, Dokuz Eylül University, Izmir, Turkey; Department of Neurology, Dokuz Eylül University Medical School, Izmir, Turkey.
Derya Durusu Emek-SavaşBrain Dynamics, Cognition and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey; Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey.
Loreto GesualdoDipartimento Emergenza e Trapianti d'Organi (D.E.T.O), University of Bari, Bari, Italy.
Ciro MundiDepartment of Neurology, Ospedali Riuniti, Foggia, Italy.
Paul M ThompsonDepartment of Neurology & Psychiatry, Imaging Genetics Center, Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA.
Paolo M RossiniDepartment of Neuroscience, IRCCS San Raffaele Pisana, Rome, Italy; Department of Geriatrics, Neuroscience & Orthopedics, Institute of Neurology, Catholic University, Rome, Italy.
Giovanni B FrisoniLENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro "S. Giovanni di Dio-F.B.F.", Brescia, Italy.
Sapienza University of Rome · ITCentro San Giovanni di Dio Fatebenefratelli · ITDokuz Eylül University · TRIRCCS Ospedale San Raffaele · ITSDN Istituto di Ricerca Diagnostica e Nucleare · ITUniversity of Genoa · ITIstanbul Kültür University · TRIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto di Ricovero e Cura a Carattere Scientifico San RaffaeleOasi Maria SS · ITOspedali Riuniti di Foggia · ITSchizophrenia Research Institute · AUUniversità Cattolica del Sacro Cuore · ITUniversity of Bari Aldo Moro · ITUniversity of Foggia · IT

Funding

TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
NIBIB NIH HHS P41 EB015922NIBIB NIH HHS U54 EB020403
6 · The paper itself

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.

Indexed as

ElectroencephalographyAgedAlzheimer DiseaseCognitive DysfunctionFemaleGray MatterHumansMagnetic Resonance ImagingMaleNeuropsychological TestsOccipital LobeRestAlzheimer's disease (AD)Electroencephalography (EEG)Gray matter density (GMD)Magnetic resonance imaging (MRI)Mild cognitive impairment (MCI)

Identifiers

PMID25442118
PMCPMC4315728
OpenAlexW2146348136

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.