Literature DB >> 16533970

Magnetoencephalographic parietal delta dipole density in mild cognitive impairment: preliminary results of a method to estimate the risk of developing Alzheimer disease.

Alberto Fernández1, Agustín Turrero, Pilar Zuluaga, Pedro Gil, Fernando Maestú, Pablo Campo, Tomás Ortiz.   

Abstract

BACKGROUND: Subjects with mild cognitive impairment (MCI) are at a higher risk of experiencing Alzheimer disease (AD). Magnetoencephalographic temporoparietal dipole densities of low-frequency activity are good predictors of individuals' cognitive status, and might be a useful tool to investigate the conversion from MCI to AD.
OBJECTIVE: To investigate the role of low-frequency dipole densities as predictors of the risk of developing AD.
DESIGN: Whole-head magnetoencephalographic recordings were obtained from 19 probable AD patients, 17 MCI patients, and 17 healthy control subjects. The generators of focal magnetic slow waves were located using a single moving dipole model.
RESULTS: Left parietal delta dipole density permitted a reliable classification of AD and MCI patients. The MCI patients were divided into 2 groups based on the median left parietal delta dipole density, and were followed up for 2 years. The estimated relative risk of conversion to AD was increased by 350% in those MCI patients with high left parietal delta dipole density scores.
CONCLUSIONS: Results confirmed the important role of parietal delta dipole density in the evaluation of AD and MCI. A magnetoencephalographic-based assessment of AD and MCI patients might be considered a useful clinical test in the near future.

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Year:  2006        PMID: 16533970     DOI: 10.1001/archneur.63.3.427

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  9 in total

1.  A multivariate model of time to conversion from mild cognitive impairment to Alzheimer's disease.

Authors:  María Eugenia López; Agustín Turrero; Pablo Cuesta; Inmaculada Concepción Rodríguez-Rojo; Ana Barabash; Alberto Marcos; Fernando Maestú; Alberto Fernández
Journal:  Geroscience       Date:  2020-09-04       Impact factor: 7.713

2.  An EEG-fNIRS hybridization technique in the four-class classification of alzheimer's disease.

Authors:  Pietro A Cicalese; Rihui Li; Mohammad B Ahmadi; Chushan Wang; Joseph T Francis; Sudhakar Selvaraj; Paul E Schulz; Yingchun Zhang
Journal:  J Neurosci Methods       Date:  2020-02-08       Impact factor: 2.390

3.  MEG spectral analysis in subtypes of mild cognitive impairment.

Authors:  M E López; P Cuesta; P Garcés; P N Castellanos; S Aurtenetxe; R Bajo; A Marcos; M L Delgado; P Montejo; J L López-Pantoja; F Maestú; A Fernandez
Journal:  Age (Dordr)       Date:  2014-02-16

4.  Magnetoencephalography as a putative biomarker for Alzheimer's disease.

Authors:  Edward Zamrini; Fernando Maestu; Eero Pekkonen; Michael Funke; Jyrki Makela; Myles Riley; Ricardo Bajo; Gustavo Sudre; Alberto Fernandez; Nazareth Castellanos; Francisco Del Pozo; C J Stam; Bob W van Dijk; Anto Bagic; James T Becker
Journal:  Int J Alzheimers Dis       Date:  2011-04-10

5.  Slowing of Hippocampal Activity Correlates with Cognitive Decline in Early Onset Alzheimer's Disease. An MEG Study with Virtual Electrodes.

Authors:  Marjolein M A Engels; Arjan Hillebrand; Wiesje M van der Flier; Cornelis J Stam; Philip Scheltens; Elisabeth C W van Straaten
Journal:  Front Hum Neurosci       Date:  2016-05-20       Impact factor: 3.169

6.  Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer's disease.

Authors:  Akinori Nakamura; Pablo Cuesta; Alberto Fernández; Yutaka Arahata; Kaori Iwata; Izumi Kuratsubo; Masahiko Bundo; Hideyuki Hattori; Takashi Sakurai; Koji Fukuda; Yukihiko Washimi; Hidetoshi Endo; Akinori Takeda; Kersten Diers; Ricardo Bajo; Fernando Maestú; Kengo Ito; Takashi Kato
Journal:  Brain       Date:  2018-05-01       Impact factor: 13.501

Review 7.  A Comprehensive Review of Magnetoencephalography (MEG) Studies for Brain Functionality in Healthy Aging and Alzheimer's Disease (AD).

Authors:  Pravat K Mandal; Anwesha Banerjee; Manjari Tripathi; Ankita Sharma
Journal:  Front Comput Neurosci       Date:  2018-08-23       Impact factor: 2.380

Review 8.  The Role of Magnetoencephalography in the Early Stages of Alzheimer's Disease.

Authors:  David López-Sanz; Noelia Serrano; Fernando Maestú
Journal:  Front Neurosci       Date:  2018-08-15       Impact factor: 4.677

9.  Consistency of magnetoencephalographic functional connectivity and network reconstruction using a template versus native MRI for co-registration.

Authors:  Linda Douw; Dagmar Nieboer; Cornelis J Stam; Prejaas Tewarie; Arjan Hillebrand
Journal:  Hum Brain Mapp       Date:  2017-10-08       Impact factor: 5.038

  9 in total

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