Functional connectivity measured with magnetoencephalography identifies persons with HIV disease

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Publication Details

Author list: Maestu, F
Publisher: Springer (part of Springer Nature): Springer Open Choice Hybrid Journals
Publication year: 2012
Volume number: 6
Issue number: 3
Start page: 366
End page: 373
Number of pages: 8
ISSN: 1931-7557
Languages: English-Great Britain (EN-GB)


Abstract

There is need for a valid and reliable biomarker for HIV Associated
Neurocognitive Disorder (HAND). The purpose of the present study was to
provide preliminary evidence of the potential utility of neuronal
functional connectivity measures obtained using magnetoencephalography
(MEG) to identify HIV-associated changes in brain function. Resting
state, eyes closed, MEG data from 10 HIV-infected individuals and 8
seronegative controls were analyzed using mutual information (MI)
between all pairs of MEG sensors to determine whether there were
functional brain networks that distinguished between subject groups
based on cognition (global and learning) or on serostatus. Three
networks were identified across all subjects, but after permutation
testing (at alpha < .005) only the one related to HIV serostatus was
significant. The network included MEG sensors (planar gradiometers)
above the right anterior region connecting to sensors above the left
posterior region. A mean MI value was calculated across all connections
from the anterior to the posterior groupings; that score distinguished
between the serostatus groups with only one error (sensitivity = 1.00,
specificity = .88 (X (2) = 15.4, df = 1, p < .01, Relative Risk =
.11). There were no significant associations between the MI value and
the neuropsychological Global Impairment Rating, substance abuse, mood
disorder, age, education, CD4+ cell counts or HIV viral load. We
conclude that using a measure of functional connectivity, it may be
possible to distinguish between HIV-infected and uninfected individuals,
suggesting that MEG may have the potential to serve as a sensitive,
non-invasive biomarker for HAND.


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Last updated on 2019-13-08 at 00:45