Title of article
Spatial pattern of cerebral glucose metabolism (PET) correlates with localization of intracerebral EEG-generators in Alzheimerʹs disease
Author/Authors
Thomas Dierks، نويسنده , , Vesna Jelic، نويسنده , , Roberto D. Pascual-Marqui، نويسنده , , Lars-Olof Wahlund، نويسنده , , Per Julin، نويسنده , , David E. J. Linden، نويسنده , , Konrad Maurer، نويسنده , , Bengt Winblad، نويسنده , , Agneta Nordberg، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2000
Pages
8
From page
1817
To page
1824
Abstract
Background: Since the measurement of human cerebral glucose metabolism (GluM) by positron emission tomography (PET) and that of human cerebral electrical activity by EEG reflect synaptic activity, both methods should be related in their cerebral spatial distribution. Healthy subjects do indeed demonstrate similar metabolic and neuroelectric spatial patterns.
Objective: The aim of the study was to show that this similarity of GluM and EEG spatial patterns holds true in a population with a high variability of glucose metabolism.
Methods: We investigated healthy control subjects and patients with varying degrees of cognitive dysfunction and varying GluM patterns by applying [18F]FDG PET and EEG.
Results: We demonstrated that the localization of intracerebral generators of EEG correlates with spatial indices of GluM.
Conclusion: These results indicates that EEG provides similar spatial information about brain function as GluM-PET. Since EEG is a non-invasive technique, which is more widely available and can be repeated more often than PET, this may have important implications both for neuropsychiatric research and for clinical diagnosis. However, further studies are required to determine whether equivalent EEG dipole generators can yield a diagnostic specificity and sensitivity similar to that of GluM-PET.
Keywords
EEG , PET , glucose metabolism , Dipole , Alzheimerיs disease , FFT-approximation
Journal title
Clinical Neurophysiology
Serial Year
2000
Journal title
Clinical Neurophysiology
Record number
522017
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