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, 36:9624 | Cite as

MEG spectral analysis in subtypes of mild cognitive impairment

  • 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
Article

Abstract

Mild cognitive impairment (MCI) has been described as an intermediate stage between normal aging and dementia. Previous studies characterized the alterations of brain oscillatory activity at this stage, but little is known about the differences between single and multidomain amnestic MCI patients. In order to study the patterns of oscillatory magnetic activity in amnestic MCI subtypes, a total of 105 subjects underwent an eyes-closed resting-state magnetoencephalographic recording: 36 healthy controls, 33 amnestic single domain MCIs (a-sd-MCI), and 36 amnestic multidomain MCIs (a-md-MCI). Relative power values were calculated and compared among groups. Subsequently, relative power values were correlated with neuropsychological tests scores and hippocampal volumes. Both MCI groups showed an increase in relative power in lower frequency bands (delta and theta frequency ranges) and a decrease in power values in higher frequency bands (alpha and beta frequency ranges), as compared with the control group. More importantly, clear differences emerged from the comparison between the two amnestic MCI subtypes. The a-md-MCI group showed a significant power increase within delta and theta ranges and reduced relative power within alpha and beta ranges. Such pattern correlated with the neuropsychological performance, indicating that the a-md-MCI subtype is associated not only with a “slowing” of the spectrum but also with a poorer cognitive status. These results suggest that a-md-MCI patients are characterized by a brain activity profile that is closer to that observed in Alzheimer disease. Therefore, it might be hypothesized that the likelihood of conversion to dementia would be higher within this subtype.

Keywords

Mild cognitive impairment Subtypes MEG Relative power Neuropsychological performance 

Notes

Acknowledgments

This study was supported by two projects, PSI2009-14415-C03-01 and PSI2012-38375-C03-01, from the Spanish Ministry of Science and Economy, and a predoctoral fellowship from the Ministry of Education (FPU AP-2008- 00175), a predoctoral fellowship from the Spanish Ministry of Science and Innovation (BES-2010-036469), a PICATA predoctoral fellowship of the Moncloa Campus of International Excellence (UCM-UPM), and a predoctoral fellow from the Basque Government.

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Copyright information

© American Aging Association 2014

Authors and Affiliations

  • M. E. López
    • 1
    • 2
  • P. Cuesta
    • 1
    • 2
  • P. Garcés
    • 1
    • 3
  • P. N. Castellanos
    • 1
  • S. Aurtenetxe
    • 1
    • 2
  • R. Bajo
    • 1
    • 4
  • A. Marcos
    • 5
  • M. L. Delgado
    • 6
  • P. Montejo
    • 7
  • J. L. López-Pantoja
    • 8
  • F. Maestú
    • 1
    • 2
  • A. Fernandez
    • 9
  1. 1.Laboratory of Cognitive and Computational Neuroscience (UCM-UPM)Centre for Biomedical Technology (CTB)MadridSpain
  2. 2.Department of Basic Psychology IIComplutense University of MadridMadridSpain
  3. 3.CEI Campus MoncloaUCM-UPMMadridSpain
  4. 4.Department of MathematicsUNIR Universidad Internacional de La RiojaLogroñoSpain
  5. 5.Neurology DepartmentSan Carlos University HospitalMadridSpain
  6. 6.Seniors Center of the District of ChamartinMadridSpain
  7. 7.Memory Decline Prevention Center Madrid Salud, Ayuntamiento de MadridMadridSpain
  8. 8.Department of Psychiatry and Laboratory of NeuroendocrinologySan Carlos University HospitalMadridSpain
  9. 9.Department of Psychiatry and Medical Psychology School of MedicineComplutense University of MadridMadridSpain

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