Magnetoencephalography as a Putative Biomarker for Alzheimer′s Disease | Zendy

Edward Zamrini | Zendy; Fernando Maestú | Zendy; Eero Pekkonen | Zendy; Michael Funke | Zendy; Jyrki P. Mäkelä | Zendy; Myles Riley | Zendy; Ricardo Bajo | Zendy; Gustavo Sudre | Zendy; Alberto Fernández | Zendy; Nazareth P. Castellanos | Zendy; Francisco del Pozo | Zendy; Cornelis J. Stam | Zendy; Bob W. van Dijk | Zendy; Anto Bagić | Zendy; James T. Becker | Zendy

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Magnetoencephalography as a Putative Biomarker for Alzheimer′s Disease

Author(s) -

Edward Zamrini,

Fernando Maestú,

Eero Pekkonen,

Michael Funke,

Jyrki P. Mäkelä,

Myles Riley,

Ricardo Bajo,

Gustavo Sudre,

Alberto Fernández,

Nazareth P. Castellanos,

Francisco del Pozo,

Cornelis J. Stam,

Bob W. van Dijk,

Anto Bagić,

James T. Becker

Publication year - 2011

Publication title -

international journal of alzheimer s disease

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.657

H-Index - 49

eISSN - 2090-8024

pISSN - 2090-0252

DOI - 10.4061/2011/280289

Subject(s) - medicine , magnetoencephalography , biomarker , disease , alzheimer's disease , bioinformatics , computational biology , pathology , psychiatry , biology , genetics , electroencephalography

Alzheimer's Disease (AD) is the most common dementia in the elderly and is estimated to affect tens of millions of people worldwide. AD is believed to have a prodromal stage lasting ten or more years. While amyloid deposits, tau filaments, and loss of brain cells are characteristics of the disease, the loss of dendritic spines and of synapses predate such changes. Popular preclinical detection strategies mainly involve cerebrospinal fluid biomarkers, magnetic resonance imaging, metabolic PET scans, and amyloid imaging. One strategy missing from this list involves neurophysiological measures, which might be more sensitive to detect alterations in brain function. The Magnetoencephalography International Consortium of Alzheimer's Disease arose out of the need to advance the use of Magnetoencephalography (MEG), as a tool in AD and pre-AD research. This paper presents a framework for using MEG in dementia research, and for short-term research priorities

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