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
  • [21] Comparison of quantitative EEG between patients with Alzheimer's disease and those with Parkinson's disease dementia
    Fonseca, Lineu C.
    Tedrus, Gloria M. A. S.
    Carvas, Priscila N.
    Machado, Elaine C. F. A.
    CLINICAL NEUROPHYSIOLOGY, 2013, 124 (10) : 1970 - 1974
  • [22] Functional connectivity assessed by resting state EEG correlates with cognitive decline of Alzheimer's disease - An eLORETA study
    Hata, Masahiro
    Kazui, Hiroaki
    Tanaka, Toshihisa
    Ishii, Ryouhei
    Canuet, Leonides
    Pascual-Marqui, Roberto D.
    Aoki, Yasunori
    Ikeda, Shunichiro
    Kanemoto, Hideki
    Yoshiyama, Kenji
    Iwase, Masao
    Takeda, Masatoshi
    CLINICAL NEUROPHYSIOLOGY, 2016, 127 (02) : 1269 - 1278
  • [23] Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review
    Tzimourta, Katerina D.
    Christou, Vasileios
    Tzallas, Alexandros T.
    Giannakeas, Nikolaos
    Astrakas, Loukas G.
    Angelidis, Pantelis
    Tsalikakis, Dimitrios
    Tsipouras, Markos G.
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2021, 31 (05)
  • [24] Hyperconnectivity matters in early-onset Alzheimer's disease: a resting-state EEG connectivity study
    Fide, Ezgi
    Hunerli-Gunduz, Duygu
    Oztura, Ibrahim
    Yener, Gorsev G.
    NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY, 2022, 52 (06): : 459 - 471
  • [25] Resting-state networks and anosognosia in Alzheimer's disease
    Tondelli, Manuela
    Ballotta, Daniela
    Maramotti, Riccardo
    Carbone, Chiara
    Gallingani, Chiara
    MacKay, Clare
    Pagnoni, Giuseppe
    Chiari, Annalisa
    Zamboni, Giovanna
    FRONTIERS IN AGING NEUROSCIENCE, 2024, 16
  • [26] Resting-state electroencephalographic biomarkers of Alzheimer's disease
    Cecchetti, Giordano
    Agosta, Federica
    Basaia, Silvia
    Cividini, Camilla
    Cursi, Marco
    Santangelo, Roberto
    Caso, Francesca
    Minicucci, Fabio
    Magnani, Giuseppe
    Filippi, Massimo
    NEUROIMAGE-CLINICAL, 2021, 31
  • [27] Visual evoked potentials to pattern, motion and cognitive stimuli in Alzheimer’s disease
    Z. Kubová
    J. Kremláček
    M. Vališ
    J. Langrová
    J. Szanyi
    F. Vít
    M. Kuba
    Documenta Ophthalmologica, 2010, 121 : 37 - 49
  • [28] Visual evoked potentials to pattern, motion and cognitive stimuli in Alzheimer's disease
    Kubova, Z.
    Kremlacek, J.
    Valis, M.
    Langrova, J.
    Szanyi, J.
    Vit, F.
    Kuba, M.
    DOCUMENTA OPHTHALMOLOGICA, 2010, 121 (01) : 37 - 49
  • [29] Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes
    Kopcanova, Martina
    Tait, Luke
    Donoghue, Thomas
    Stothart, George
    Smith, Laura
    Flores-Sandoval, Aimee Arely
    Davila-Perez, Paula
    Buss, Stephanie
    Shafi, Mouhsin M.
    Pascual-Leone, Alvaro
    Fried, Peter J.
    Benwell, Christopher S. Y.
    NEUROBIOLOGY OF DISEASE, 2024, 190
  • [30] Fractal Dimension Distributions of Resting-State Electroencephalography (EEG) Improve Detection of Dementia and Alzheimer's Disease Compared to Traditional Fractal Analysis
    Yoder, Keith J.
    Brookshire, Geoffrey
    Glatt, Ryan M.
    Merrill, David A.
    Gerrol, Spencer
    Quirk, Colin
    Lucero, Che
    CLINICAL AND TRANSLATIONAL NEUROSCIENCE, 2024, 8 (03)