Literature DB >> 19571730

Structural and functional patterns in healthy aging, mild cognitive impairment, and Alzheimer disease.

Ariadna Besga1, Laura Ortiz, Alberto Fernández, Fernando Maestu, Juan Arrazola, Pedro Gil-Gregorio, Manuel Fuentes, Tomás Ortiz.   

Abstract

The aim of this study was to analyze the combined contribution of magnetic resonance imaging and magnetoencephalography (MEG) to the diagnosis of mild cognitive impairment (MCI) and AD. To whole-head MEG recordings were obtained from three diagnosis groups: Alzheimer disease (AD), MCI, and control. Magnetic resonance imaging volumetric data of global brain, temporal lobe, and hippocampal volumes, were also obtained. Results indicated that a reduction of volume in the hippocampal structure allowed the discrimination between AD and MCI patients as compared with controls. The percentage of correct classification was 91.3% when AD versus controls was compared, and 83.3% when we compared MCI versus control. MEG data showed that AD patients exhibit higher theta and delta activity than MCI and controls. Such higher activity was significant in parietal, temporal, and occipital areas. Left parietal theta classified controls versus MCIs with 78.3% rate of correct classification. Right occipital theta and the left parietal delta allowed the discrimination of controls versus ADs, with 81.8% rate of correct classification. Left parietal theta discriminated between ADs and MCIs with 56.6% rate of correct classification. In addition, the combination of both techniques significantly improved the rate of correct classification, thus indicating that a multidisciplinary perspective of techniques may improve the diagnostic capabilities.

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Year:  2010        PMID: 19571730     DOI: 10.1097/WAD.0b013e3181aba730

Source DB:  PubMed          Journal:  Alzheimer Dis Assoc Disord        ISSN: 0893-0341            Impact factor:   2.703


  7 in total

1.  Structural brain changes in normal individuals with a maternal history of Alzheimer's.

Authors:  Valentina Berti; Lisa Mosconi; Lidia Glodzik; Yi Li; John Murray; Susan De Santi; Alberto Pupi; Wai Tsui; Mony J De Leon
Journal:  Neurobiol Aging       Date:  2011-02-12       Impact factor: 4.673

Review 2.  Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology.

Authors:  Harald Hampel; Nicola Toschi; Claudio Babiloni; Filippo Baldacci; Keith L Black; Arun L W Bokde; René S Bun; Francesco Cacciola; Enrica Cavedo; Patrizia A Chiesa; Olivier Colliot; Cristina-Maria Coman; Bruno Dubois; Andrea Duggento; Stanley Durrleman; Maria-Teresa Ferretti; Nathalie George; Remy Genthon; Marie-Odile Habert; Karl Herholz; Yosef Koronyo; Maya Koronyo-Hamaoui; Foudil Lamari; Todd Langevin; Stéphane Lehéricy; Jean Lorenceau; Christian Neri; Robert Nisticò; Francis Nyasse-Messene; Craig Ritchie; Simone Rossi; Emiliano Santarnecchi; Olaf Sporns; Steven R Verdooner; Andrea Vergallo; Nicolas Villain; Erfan Younesi; Francesco Garaci; Simone Lista
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

3.  Functional imaging of hippocampal dysfunction among persons with Alzheimer's disease: a proof-of-concept study.

Authors:  David B Arciniegas; Jason R Tregellas; Donald C Rojas; Burlleen Hewitt; C Alan Anderson
Journal:  Neuropsychiatr Dis Treat       Date:  2010-11-23       Impact factor: 2.570

4.  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

Review 5.  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

6.  Permutation Entropy and Statistical Complexity in Mild Cognitive Impairment and Alzheimer's Disease: An Analysis Based on Frequency Bands.

Authors:  Ignacio Echegoyen; David López-Sanz; Johann H Martínez; Fernando Maestú; Javier M Buldú
Journal:  Entropy (Basel)       Date:  2020-01-18       Impact factor: 2.524

7.  Machine learning-XGBoost analysis of language networks to classify patients with epilepsy.

Authors:  L Torlay; M Perrone-Bertolotti; E Thomas; M Baciu
Journal:  Brain Inform       Date:  2017-04-22
  7 in total

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