Resilience of Neural Networks in COVID-19 Patients Examined in New Study

Strategic Insights -

Researchers from the University Hospital Center Vaudois have conducted a pilot study to investigate the resilience of neural networks in patients who have suffered from severe COVID-19. The study, published in Brain Sciences, assessed the activation patterns of neural networks in patients who had been hospitalized in intensive care units but had no prior or COVID-19-related brain damage. The findings suggest that patients who showed normal performance on a Stroop task exhibited two distinct activation patterns, which may represent different resilience profiles of the corresponding neural networks.

Key Takeaways:

  • The study examined the activation patterns of neural networks in six patients who had suffered from severe COVID-19 and were hospitalized in intensive care units.
  • The patients' performance in a 16-minute long color-word Stroop task was within normal limits, with the exception of one patient who showed a slightly slower response time and another who showed a single accuracy measure outside the normal range.
  • Activation elicited by the Stroop effect differed between the first and second parts of the task in controls and patients, with two distinct response profiles found among patients.
  • One profile showed a Stroop effect-linked increase during the first part followed by a partial decrease during the second part, similar to healthy subjects. The other profile showed a weak or absent Stroop effect increase during the first part followed by a partial increase during the second part.
  • The study's findings suggest that the normal performance presented by patients on the Stroop task was associated with two distinct activation patterns, which may represent different resilience profiles of the corresponding neural networks.

Statistics:

  • Six patients who had suffered from severe COVID-19 were included in the study.
  • Twenty-four control subjects were also included in the study.
  • The patients' performance in the Stroop task was within normal limits, with the exception of one patient who showed slower response times and another who showed a single accuracy measure outside the normal range.
  • Activation elicited by the Stroop effect differed between the first and second parts of the task in controls and patients.

Sources:

  • Resilience of Neural Networks Underlying the Stroop Effect in the Aftermath of Severe COVID-19: fMRI Pilot Study. Brain Sciences, 2025, 15(6):635. (Brain Sciences - http://www.mdpi.com/journal/brainsci/).
  • Medical Letter on the CDC & FDA. July 13, 2025; p 415. (NewsRx).
  • University Hospital Center Vaudois. (Lausanne, Switzerland) (exact address included in the original source).