What electrophysiology tells us about Alzheimer's disease: a window into the synchronization and connectivity of brain neurons

Abstract

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Face Recognition Deficits in a Patient With Alzheimer's Disease: Amnesia or Agnosia? The Importance of Electrophysiological Markers for Differential Diagnosis

“…Moreover, the data presented here suggest that electrophysiological biomarkers can be informative in the differential diagnosis among cognitive function deficits by revealing their neuropsychological etiology. These pieces of evidence, together with the suitability and easiness of the use of EEG in outpatient settings (Cecchi et al, 2015), strongly warrant the use of electrophysiological markers in the AD population (Babiloni et al, 2020).…”

Protein Biomarkers for the Diagnosis of Alzheimer’s Disease at Different Stages of Neurodegeneration

“…In addition to the use of the aforementioned biomarkers, additional tests should be conducted to obtain a complete picture of the status of a potential AD patient. These analyses may involve neurological observation, neuropsychological tests or the use of electroencephalography (EEG) or event-related potential (ERP) indices [ 67 ] as biomarkers of AD [ 68 ]. In this regard and the context of cognitive function, the contribution of gamma oscillations also emerges as a relevant feature to examine in potential patients [ 69 ].…”

Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease Diagnosis

“…A possible biomarker for use in AD diagnosis is alteration of oscillatory brain activity. The most widely known oscillatory changes in AD patients are spectral changes, which include slowing of the peak frequency and increase in slow oscillations (8), even in the preclinical phase (9,10). The recent advent of the use of complex network analysis in electroencephalography (EEG) and magnetoencephalography (MEG) studies has revealed abnormal neural oscillations of AD (8,11,12).…”