Resting state in Alzheimer's disease: a concurrent analysis of Flash-Visual Evoked Potentials and quantitative EEG

被引:9
作者
Tartaglione, Antonio [1 ,2 ,6 ]
Spadavecchia, Luciano [4 ]
Maculotti, Marco [5 ]
Bandini, Fabio [2 ,3 ]
机构
[1] Osped S Andrea, Dept Neurol, La Spezia, Italy
[2] Univ Genoa, Dept Neurol, DINOG, Genoa, Italy
[3] Osped San Paolo, Dept Neurol, Savona, Italy
[4] CNR Genova, Ist Biofis, Genoa, Italy
[5] Casa Cura Privata Policlin Spa, Dept Sci Neuroriabilitat, Milan, Italy
[6] Ctr La Missione Sarzana, La Spezia, Italy
来源
BMC NEUROLOGY | 2012年 / 12卷
关键词
Alzheimer's disease; F-VEP; q-EEG; Resting state; Eye-closed; Eye-open; Dementia; MINI-MENTAL-STATE; EYES-OPEN; DEMENTIA; BRAIN; NETWORKS; LATENCY; POWER; MODE; VEP;
D O I
10.1186/1471-2377-12-145
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: To investigate to what extent Alzheimer's Disease (AD) affects Resting State activity, the possible impairment of independent electrophysiological parameters was determined in Eye-open and Eye-closed Conditions. Specifically, Flash-Visual Evoked Potential (F-VEP) and quantitative EEG (q-EEG) were examined to establish whether abnormalities of the former were systematically associated with changes of the latter. Methods: Concurrently recorded F-VEP and q-EEG were comparatively analysed under Eye-open and Eye-closed Conditions in 11 Controls and 19 AD patients presenting a normal Pattern-Visual Evoked Potential (P-VEP). Between Condition differences in latencies of P2 component were matched to variations in spectral components of q-EEG. Results: P2 latency increased in 10 AD patients with Abnormal Latency (AD-AL) under Eye-closed Condition. In these patients reduction of alpha activity joined an increased delta power so that their spectral profile equated that recorded under Eye-open Condition. On the opposite, in Controls as well as in AD patients with Normal P2 Latency (AD-NL) spectral profiles recorded under Eye-open and Eye-closed Conditions significantly differed from each other. At the baseline, under Eye-open Condition, the spectra overlapped each other in the three Groups. Conclusion: Under Eye-closed Condition AD patients may present a significant change in both F-VEP latency and EEG rhythm modulation. The presence of concurrent changes of independent parameters suggests that the neurodegenerative process can impair a control system active in Eye-closed Condition which the electrophysiological parameters depend upon. F-VEP can be viewed as a reliable marker of such impairment.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Nonlinear EEG analysis in early Alzheimer's disease
    Jelles, B
    Strijers, RLM
    Hooijer, C
    Jonker, C
    Stam, CJ
    Jonkman, EJ
    [J]. ACTA NEUROLOGICA SCANDINAVICA, 1999, 100 (06): : 360 - 368
  • [32] Resting state functional MRI in Alzheimer's Disease
    Vemuri, Prashanthi
    Jones, David T.
    Jack, Clifford R., Jr.
    [J]. ALZHEIMERS RESEARCH & THERAPY, 2012, 4 (01)
  • [33] A comparison of resting state Alzheimer ?s disease and mild EEG and structural MRI for classifying cognitive impairment
    Farina, F. R.
    Emek-Savas, D. D.
    Rueda-Delgado, L.
    Boyle, R.
    Kiiski, H.
    Yener, G.
    Whelan, R.
    [J]. NEUROIMAGE, 2020, 215
  • [34] Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel
    Babiloni, Claudio
    Arakaki, Xianghong
    Azami, Hamed
    Bennys, Karim
    Blinowska, Katarzyna
    Bonanni, Laura
    Bujan, Ana
    Carrillo, Maria C.
    Cichocki, Andrzej
    de Frutos-Lucas, Jaisalmer
    Del Percio, Claudio
    Dubois, Bruno
    Edelmayer, Rebecca
    Egan, Gary
    Epelbaum, Stephane
    Escudero, Javier
    Evans, Alan
    Farina, Francesca
    Fargo, Keith
    Fernandez, Alberto
    Ferri, Raffaele
    Frisoni, Giovanni
    Hampel, Harald
    Harrington, Michael G.
    Jelic, Vesna
    Jeong, Jaeseung
    Jiang, Yang
    Kaminski, Maciej
    Kavcic, Voyko
    Kilborn, Kerry
    Kumar, Sanjeev
    Lam, Alice
    Lim, Lew
    Lizio, Roberta
    Lopez, David
    Lopez, Susanna
    Lucey, Brendan
    Maestu, Fernando
    McGeown, William J.
    McKeith, Ian
    Moretti, Davide Vito
    Nobili, Flavio
    Noce, Giuseppe
    Olichney, John
    Onofrj, Marco
    Osorio, Ricardo
    Parra-Rodriguez, Mario
    Rajji, Tarek
    Ritter, Petra
    Soricelli, Andrea
    [J]. ALZHEIMERS & DEMENTIA, 2021, 17 (09) : 1528 - 1553
  • [35] Alteration of functional connectivity in patients with Alzheimer's disease revealed by resting-state functional magnetic resonance imaging
    Zhao, Jie
    Du, Yu-Hang
    Ding, Xue-Tong
    Wang, Xue-Hu
    Men, Guo-Zun
    [J]. NEURAL REGENERATION RESEARCH, 2020, 15 (02) : 285 - 292
  • [36] Resting-state fMRI Analysis of Alzheimer's Disease Progress Using Sparse Dictionary Learning
    Lee, Jeonghyeon
    Ye, Jong Chul
    [J]. PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2012, : 1051 - 1053
  • [37] Quantitative EEG power and synchronization correlate with Alzheimer's disease CSF biomarkers
    Smailovic, Una
    Koenig, Thomas
    Kareholt, Ingemar
    Andersson, Thomas
    Kramberger, Milica Gregoric
    Winblad, Bengt
    Jelic, Vesna
    [J]. NEUROBIOLOGY OF AGING, 2018, 63 : 88 - 95
  • [38] Alzheimer's disease: The state of the art in resting-state magnetoencephalography
    Engels, M. M. A.
    van der Flier, W. M.
    Stam, C. J.
    Hillebrand, A.
    Scheltens, Ph.
    van Straaten, E. C. W.
    [J]. CLINICAL NEUROPHYSIOLOGY, 2017, 128 (08) : 1426 - 1437
  • [39] Alzheimer's disease-like features in resting state EEG/fMRI of cognitively intact and healthy middle-aged APOE/PICALM risk carriers
    Dzianok, Patrycja
    Wojciechowski, Jakub
    Wolak, Tomasz
    Kublik, Ewa
    [J]. JOURNAL OF ALZHEIMERS DISEASE, 2025, 104 (02) : 509 - 524
  • [40] Neuropsychological Evaluation and Quantitative EEG in Patients with Frontotemporal Dementia, Alzheimer's Disease, and Mild Cognitive Impairment
    Tomasello, Letteria
    Carlucci, Leonardo
    Lagana, Angelina
    Galletta, Santi
    Marinelli, Chiara Valeria
    Raffaele, Massimo
    Zoccolotti, Pierluigi
    [J]. BRAIN SCIENCES, 2023, 13 (06)