M Järvelä, V Raatikainen, A Kotila, J Kananen, V Korhonen, L Q Uddin, H Ansakorpi, V Kiviniemi, Lag Analysis of Fast fMRI Reveals Delayed Information Flow Between the Default Mode and Other Networks in Narcolepsy, Cerebral Cortex Communications, Volume 1, Issue 1, 2020, tgaa073, https://doi.org/10.1093/texcom/tgaa073
Lag analysis of fast fMRI reveals delayed information flow between the default mode and other networks in narcolepsy
|Author:||Järvelä, M.1,2; Raatikainen, V.1,2; Kotila, A.3;|
1Department of Diagnostic Radiology, Medical Research Center (MRC), Oulu University Hospital, 90220 Oulu, Finland
2Research Unit of Medical Imaging, Physics and Technology, The Faculty of Medicine, University of Oulu, 90220 Oulu, Finland
3Research Unit of Logopedics, University of Oulu, 90014 Oulu, Finland
4Department of Psychology, University of Miami, Coral Gables, 33124 FL, USA
5Department of Neurology, Oulu University Hospital, 90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021042311625
Oxford University Press,
|Publish Date:|| 2021-04-23
Narcolepsy is a chronic neurological disease characterized by dysfunction of the hypocretin system in brain causing disruption in the wake-promoting system. In addition to sleep attacks and cataplexy, patients with narcolepsy commonly report cognitive symptoms while objective deficits in sustained attention and executive function have been observed. Prior resting-state functional magnetic resonance imaging (fMRI) studies in narcolepsy have reported decreased inter/intranetwork connectivity regarding the default mode network (DMN). Recently developed fast fMRI data acquisition allows more precise detection of brain signal propagation with a novel dynamic lag analysis. In this study, we used fast fMRI data to analyze dynamics of inter resting-state network (RSN) information signaling between narcolepsy type 1 patients (NT1, n = 23) and age- and sex-matched healthy controls (HC, n = 23). We investigated dynamic connectivity properties between positive and negative peaks and, furthermore, their anticorrelative (pos-neg) counterparts. The lag distributions were significantly (P < 0.005, familywise error rate corrected) altered in 24 RSN pairs in NT1. The DMN was involved in 83% of the altered RSN pairs. We conclude that narcolepsy type 1 is characterized with delayed and monotonic inter-RSN information flow especially involving anticorrelations, which are known to be characteristic behavior of the DMN regarding neurocognition.
Cerebral cortex communications
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
Academy of Finland (275352, 314497, Profi 3); and Jane and Aatos Erkko Foundation.
|Academy of Finland Grant Number:||
275352 (Academy of Finland Funding decision)
314497 (Academy of Finland Funding decision)
The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.