PhD Scientific Days 2023
Budapest, 22-23 June 2023
Neurosciences - Posters G
Resting-state functional connectivity correlates of mental fatigue
Előadó neve
Dr. Alhour, Husamalddin
Neptun code
ZVVQ9D
Előadó munkahelye
Department of Neurology, University of Pécs, Medical School, Pécs, Hungary
Előadó telefonszáma
0036703621270
Előadó e-mail címe
Husamalddin.alhour@gmail.com
Az előadás címe
Resting-state functional connectivity correlates of mental fatigue
Szerző(k) neve és munkahelye
Husamalddin Ali Alhour 1, Gergely Darnai 1, 2, 3, Gergely Orsi 1, 3, 4, Gábor Perlaki 1, 3, 4, Eszter Áfra 2, Anna Szente 1, Ákos Arató 1, József Janszky1,3
1 Department of Neurology, University of Pécs, Medical School, Pécs, Hungary, 2 Department of Behavioral Sciences, University of Pécs, Medical School, Pécs, Hungary, 3 ELKH-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary, 4 Pécs Diagnostic Centre, Pécs, Hungary Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary
Bemutatás módja
Poszter
Szekció
Neurosciences - Posters G
Language of the presentation
English
Preferred session
Neurosciences
Összefoglaló szövege
Mental fatigue arises during prolonged cognitively-taxing tasks, leading to performance decrements or time-on-task effects (ToT) and declines through rest or incentives. Although mental fatigue is ubiquitously experienced in daily life and its adverse consequences are documented in a variety of settings, its neurocognitive correlates remain uncertain. This study used the prolonged version of the psychomotor vigilance task (PVT) to induce fatigue and resting-state functional MRI (rs-fMRI) to investigate functional connectivity (FC) correlates of the ToT effect and the motivation effect (monetarily rewarding participants after fatigue induction) in 74 young healthy adults. Fatigue scores (change in median reaction times between the blocks of PVT) were extracted as a measure of overall performance. Fatigue-resistant (n=25) and fatigue-sensitive (n=24) subjects were separated based on fatigue scores. A data-driven, multi-variate pattern analysis (MVPA) was used to derive suitable seeds (3) for later seed-to-voxel analysis -post hoc analysis- to analyse FC patterns. Behaviourally, subjects showed strong ToT drops in performance, as assessed by increasing reaction times as the test progressed. Extra monetary reward positively affected PVT performance in fatigued subjects. Our rs-fMRI results showed changes in FC in task-related brain regions and non-related regions. MVPA and subsequent post hoc analysis revealed associations between mental fatigue and reward processing, and patterns of RsFc in brain areas linked to different networks, such as somatomotor, dorsal attention, ventral attention, frontoparietal, basal ganglia, and default mode. Additionally, we found that networks that are anti-correlated at rest become less anticorrelated, meaning that “highly segregated networks become less segregated”, as a function of fatigue.
University and Doctoral School
University of Pécs Medical School, Doctoral School of Clinical Neurosciences
Supervisor
Prof. Dr. József Janszky
Publication of my abstract
I do not give consent to the publication of my abstract on the website of the congress.
Kind
Szabad
Status
elfogadva
Accepted presentation method
poszter
Előadás fájl jóváhagyás
nem rendelkezett róla
Előadó
7367
Start
11:18
End
11:23
Authors (legacy)
Husamalddin Ali Alhour 1, Gergely Darnai 1, 2, 3, Gergely Orsi 1, 3, 4, Gábor Perlaki 1, 3, 4, Eszter Áfra 2, Anna Szente 1, Ákos Arató 1, József Janszky1,3
1 Department of Neurology, University of Pécs, Medical School, Pécs, Hungary, 2 Department of Behavioral Sciences, University of Pécs, Medical School, Pécs, Hungary, 3 ELKH-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary, 4 Pécs Diagnostic Centre, Pécs, Hungary Department of Neurosurgery, University of Pécs, Medical School, Pécs, Hungary