Lag Analysis of Fast fMRI Reveals Delayed Information Flow Between the Default Mode and Other Networks in Narcolepsy

• DOI: 10.1093/texcom/tgaa073
• Publication Date: 2020-10-10T10:24:59Z
• Authors: M Järvelä; V Raatikainen; A Kotila; J Kananen; V Korhonen; L Q Uddin; H Ansakorpi; V Kiviniemi
• Keywords: Neurocognitive

Abstract Narcolepsy is a chronic neurological disease characterized by dysfunction of the hypocretin system in brain causing disruption wake-promoting system. In addition to sleep attacks and cataplexy, patients with narcolepsy commonly report cognitive symptoms while objective deficits sustained attention executive function have been observed. Prior resting-state functional magnetic resonance imaging (fMRI) studies reported decreased inter/intranetwork connectivity regarding default mode network (DMN). Recently developed fast fMRI data acquisition allows more precise detection signal propagation novel dynamic lag analysis. this study, we used analyze dynamics inter (RSN) information signaling between type 1 (NT1, n = 23) age- sex-matched healthy controls (HC, 23). We investigated properties positive negative peaks and, furthermore, their anticorrelative (pos-neg) counterparts. The distributions were significantly (P < 0.005, familywise error rate corrected) altered 24 RSN pairs NT1. DMN was involved 83% pairs. conclude that delayed monotonic inter-RSN flow especially involving anticorrelations, which are known be characteristic behavior neurocognition.