Search bioRxiv⌕ Search

bioRxiv · 10.1101/2024.11.04.621806

Fatigue >12 weeks after coronavirus disease (COVID) is associated with reduced reward sensitivity during effort-based decision making

Abstract

BackgroundFatigue and depressive mood is inherent to acute disease, but a substantial group of people report persisting disabling fatigue and depressive symptoms long after a COVID infection. Acute infections have shown to change decisions to engage in effortful and rewarding activities, but it is currently unclear whether fatigue and depressive symptoms similarly affect decision making during acute and persistent phases of a COVID infection. Here, we investigated whether fatigue and depressive mood are associated with altered weighting of effort and reward in decision-making during different timepoints after COVID infection. MethodsWe conducted an online cross-sectional study between March 2021 and March 2022. 242 Participants (18-65 years) with COVID <4 weeks ago (n=62), COVID >12 weeks ago (n=81), or no prior COVID (self-reported) (n=90) performed an effort-based decision-making task, in which they decided whether they wanted to exert physical effort (ticking boxes on screen, 5 levels) for reward (money to be gained in a voucher-lottery, 5 levels). State fatigue and depressive mood was measured by the Profile of Mood States (POMS) prior to the task. We used multilevel binomial regression analysis to test whether fatigue and depressive mood were related to acceptance rates for effort and reward levels and whether this differed between the groups. ResultsCompared with no COVID and COVID <4 weeks groups, the COVID >12 weeks group reported higher state fatigue scores (mean{+/-}SD: 20{+/-}7 vs. 14{+/-}7 and 12{+/-}6 POMS-score, respectively; both p<0.001) and was less sensitive to rewards (Reward*Group: OR: 0.35 (95%CI 0.20, 0.62), p<0.001 and OR: 0.38 (95%CI 0.20, 0.72), p=0.003). In the COVID >12 weeks group, fatigue was more negatively associated with reward sensitivity compared with the COVID <4 weeks group (Reward*Fatigue*Group: OR 0.47 (95%CI 0.25, 1.13), p=0.022) and the no COVID group (Reward*Fatigue*Group: OR 0.48 (95%CI 4.01, 0.92), p=0.029). No group differences were observed for the relationship between fatigue and effort sensitivity. No group differences were observed for the relationship between depressive mood and effort or reward sensitivity. Higher age, lower BMI, unhealthy lifestyle, and worrying during the acute phase of COVID each predicted decreased reward sensitivity in the >12 weeks group (Age*Reward: OR 0.30 (95%CI 0.19, 0.48), p<0.001; BMI*Reward: OR 1.43 (95%CI 1.01, 2.00), p=0.047); Lifestyle*Reward: OR 1.50 (95%CI 1.06, 2.14), p=0.022; Worrying*Reward: OR 0.59 (95%CI 0.38, 0.94), p=0.025, respectively). ConclusionThe finding that fatigue is related to lower reward sensitivity >12 weeks after COVID, suggesting potential reward deficits in post-covid fatigue. These findings are in line with previous observations that long-term inflammation can induce dysregulations in neural reward processing, which should be further investigated in future studies. HighlightsO_LIWe tested if fatigue and mood were related to altered decision making post-COVID C_LIO_LIParticipants post-COVID >12wks ago were more fatigued and less reward sensitive C_LIO_LIPost-COVID-related fatigue was associated with reduced reward sensitivity C_LIO_LIPost-COVID-related depressive mood was not associated with altered decision making C_LIO_LIHigher age, unhealthy lifestyle, and worrying predicted reward deficits C_LI

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Scholing, J. M., Lambregts, B. I. H. M., van den Bosch, R., Aarts, E., van der Schaaf, M. E.. 2024-11-06. Fatigue >12 weeks after coronavirus disease (COVID) is associated with reduced reward sensitivity during effort-based decision making. https://doi.org/10.1101/2024.11.04.621806

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Attention Across Scales: From Individual Variation to Social Hierarchies and Brain Networks in Semi-Free-Ranging Macaques

Attention is a fundamental brain function supporting perception, decision-making, and social behavior, and its dysfunction profoundly impairs daily life. It is both dynamic and stable, varying across observations and individuals, changing across the lifespan, and being shaped by social and environmental experience. Yet capturing this complexity remains a central challenge in neuroscience. Here, we integrated longitudinal behavioral assessments of semi-free-ranging macaques living in naturalistic social groups with resting-state fMRI. We quantified performance across days, ages, and social hierarchies and related it to intrinsic brain organization. Distinct attentional phenotypes emerged, including individuals with reduced attentional control. Performance followed an inverted-U lifespan trajectory, improving from childhood to adulthood before declining. Social status modulated attentional performance. Critically, nonlinear lifespan trajectories and associations with individual attentional differences were most clearly expressed in frontoparietal connectivity. Together, these findings reveal how sustained attention is organized across scales, providing a biological framework for its individual diversity, social modulation, and neural basis.

neuroscience↗

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide increasingly precise control over cortical activity, it remains unclear whether artificially evoked activity can reproduce the information content of naturally evoked visual representations. Here we establish a quantitative framework for evaluating visual encoding strategies by decoding cortical responses evoked by natural vision and patterned optogenetic stimulation. We developed a novel dual-modal paradigm in awake mice to bridge the gap between endogenous photostimulation and artificial network driving. By co-expressing the high-performance calcium indicator GCaMP6s and the red-shifted, ultra-sensitive opsin rsChRmine-oScarlet in the primary visual cortex (V1), we successfully translated dynamic natural movie frames into patterned, spatiotemporal optogenetic stimulation. Quantitative comparisons of macro-scale dynamics demonstrated that this patterned optogenetic injection evokes cortical states highly comparable and representationally aligned with those driven by actual visual photostimulation. To systematically evaluate the fidelity of these responses, we developed STAR, a deep learning model featuring spatial and temporal attention mechanisms, and successfully reconstructed the frames of natural movies from V1 signals under both experimental modalities. Collectively, our results demonstrate that complex sensory information can be both naturally encoded and synthetically injected into V1 circuits with high decoding fidelity. This work provides an empirical and computational proof-of-concept for intelligent, closed-loop biomimetic encoders, establishing a robust framework for next-generation cortical visual neuroprostheses and bidirectional brain-machine interfaces.

neuroscience↗

Why Is Spontaneous Blink Timing Informative? An Adaptive Scheduling Perspective

Spontaneous eye blinks have long been linked to cognitive processing, yet how task demands shape blink timing and its relationship to behavioral performance remains unclear. We examined spontaneous blink behavior in 576 adults performing two variants of the Continuous Performance Task (CPT). Blink occurrence and timing were most strongly modulated by the experimental condition in the more demanding CPT-AX task, whereas their association with response time was stronger in the CPT-X task, where more consistent blink timing predicted faster responses. This dissociation suggests that task structure changes not only blink behavior but also the behavioral relevance of blink timing. These findings are consistent with an adaptive scheduling account of spontaneous blinking and provide a conceptual framework for understanding when and why blink timing contains chronometric information about ongoing cognition.

neuroscience↗