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Altered Brain Microstate Dynamics in Adolescents with Narcolepsy

Artikel i vetenskaplig tidskrift
Författare N. M. Drissi
Attila Szakacs
S. T. Witt
A. Wretman
M. Ulander
H. Stahlbrandt
Niklas Darin
Tove Hallböök
A. M. Landtblom
M. Engstrom
Publicerad i Frontiers in Human Neuroscience
Volym 10
ISSN 1662-5161
Publiceringsår 2016
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för pediatrik
Språk en
Länkar dx.doi.org/10.3389/fnhum.2016.00369
Ämnesord narcolepsy, default mode network, functional magnetic resonance imaging (fMRI), RESTING-STATE NETWORKS, H1N1 INFLUENZA VACCINATION, VOXEL-BASED, MORPHOMETRY, ELECTROPHYSIOLOGICAL SIGNATURES, ADAPTIVE SEGMENTATION, ALZHEIMERS-DISEASE, DEFAULT MODE, GRAY-MATTER, MAP SERIES, NREM SLEEP
Ämneskategorier Pediatrik, Neurologi

Sammanfattning

Narcolepsy is a chronic sleep disorder caused by a loss of hypocretin-1 producing neurons in the hypothalamus. Previous neuroimaging studies have investigated brain function in narcolepsy during rest using positron emission tomography (PET) and single photon emission computed tomography (SPECT). In addition to hypothalamic and thalamic dysfunction they showed aberrant prefrontal perfusion and glucose metabolism in narcolepsy. Given these findings in brain structure and metabolism in narcolepsy, we anticipated that changes in functional magnetic resonance imaging (fMRI) resting state network (RSN) dynamics might also be apparent in patients with narcolepsy. The objective of this study was to investigate and describe brain microstate activity in adolescents with narcolepsy and correlate these to RSNs using simultaneous fMRI and electroencephalography (EEG). Sixteen adolescents (ages 13-20) with a confirmed diagnosis of narcolepsy were recruited and compared to age-matched healthy controls. Simultaneous EEG and fMRI data were collected during 10 min of wakeful rest. EEG data were analyzed for microstates, which are discrete epochs of stable global brain states obtained from topographical EEG analysis. Functional fMRI data were analyzed for RSNs. Data showed that narcolepsy patients were less likely than controls to spend time in a microstate which we found to be related to the default mode network and may suggest a disruption of this network that is disease specific. We concluded that adolescents with narcolepsy have altered resting state brain dynamics.

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