Search bioRxiv⌕ Search

Biology subjects

Dudzikowska, K.

Publications and source records attributed to Dudzikowska, K..

2 recordsLinked to original sources

Fatigue-related changes in value-based decision-making during listening are associated with increased frontal cortical activation

Hearing aid users commonly report listening-related fatigue, which may contribute to disengagement from demanding listening situations and negative psychosocial outcomes. Hearing rehabilitation currently lacks strategies to mitigate listening fatigue, partly because fatigue build-up and its consequences are difficult to measure beyond self-report. This study investigated whether value-based listening decisions and associated frontal cortical activity are modulated by fatigue. Thirty hearing aid users completed a one-hour listening paradigm while cortical hemodynamic activity was measured using functional near-infrared spectroscopy (fNIRS). On each trial, participants decided whether to engage in listening or rest based on an offer defined by expected task difficulty and reward, and rated their momentary fatigue. Fatigue ratings increased over time, and unsuccessful listening trials were associated with larger subsequent increases in fatigue, suggesting that performance contributed to changes in self-reported fatigue. Listen-versus-rest decisions followed the expected effort-reward trade-off, with participants more likely to accept offers that provided higher rewards and lower listening demands. Over the course of the experiment, participants became less likely to accept listening offers; however, neither time on task nor subjective fatigue altered the weighting of reward and difficulty. In contrast, frontal cortical activation during evaluation of accepted offers increased over time for high-difficulty offers with low or medium rewards. Follow-up analyses indicated that frontal oxygenation and listening decisions were more strongly associated with time on task than with subjective fatigue ratings. Together, these findings suggest that behavioral and neural measures obtained before listening capture fatigue-related processes beyond self-report, providing a basis for identifying and potentially addressing fatigue in hearing rehabilitation.

neuroscience↗

Functional Magnetic Resonance Spectroscopy of Prolonged Motor Activation using Conventional and Spectral GLM Analyses

BackgroundFunctional MRS (fMRS) is a technique used to measure metabolic changes in response to increased neuronal activity, providing unique insights into neurotransmitter dynamics and neuroenergetics. In this study we investigate the response of lactate and glutamate levels in the motor cortex during a sustained motor task using conventional spectral fitting and explore the use of a novel analysis approach based on the application of linear modelling directly to the spectro-temporal fMRS data. MethodsfMRS data were acquired at a field strength of 3 Tesla from 23 healthy participants using a short echo-time (28ms) semi-LASER sequence. The functional task involved rhythmic hand clenching over a duration of 8 minutes and standard MRS preprocessing steps, including frequency and phase alignment, were employed. Both conventional spectral fitting and direct linear modelling were applied, and results from participant-averaged spectra and metabolite-averaged individual analyses were compared. ResultsWe observed a 20% increase in lactate in response to the motor task, consistent with findings at higher magnetic field strengths. However, statistical testing showed some variability between the two averaging schemes and fitting algorithms. While lactate changes were supported by the direct spectral modelling approach, smaller increases in glutamate (2%) were inconsistent. Exploratory spectral modelling identified a 4% decrease in aspartate, aligning with conventional fitting and observations from prolonged visual stimulation. ConclusionWe demonstrate that lactate dynamics in response to a prolonged motor task are observed using short-echo time semi-LASER at 3 Tesla, and that direct linear modelling of fMRS data is a useful complement to conventional analysis. Future work includes mitigating spectral confounds, such as scalp lipid contamination and lineshape drift, and further validation of our novel direct linear modelling approach through experimental and simulated datasets.

neuroscience↗