Publications by authors named "M Kolisnyk"

Background: Repeat neurological assessment is standard in cases of severe acute brain injury. However, conventional measures rely on overt behavior. Unfortunately, behavioral responses may be difficult or impossible for some patients.

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Recent advancements in functional neuroimaging have demonstrated that some unresponsive patients in the intensive care unit retain a level of consciousness that is inconsistent with their behavioral diagnosis of awareness. Functional near-infrared spectroscopy (fNIRS) is a portable optical neuroimaging method that can be used to measure neural activity with good temporal and spatial resolution. However, the reliability of fNIRS for detecting the neural correlates of consciousness remains to be established.

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Article Synopsis
  • This study evaluates the use of resting-state functional MRI to predict recovery in unresponsive patients with severe brain injuries in the ICU.
  • Patients underwent a scan, and their brain network data were analyzed to categorize them into good or poor outcome groups.
  • The method showed high accuracy in predictions, correctly identifying 80% of patients with good outcomes, indicating its potential to improve decision-making in critical care situations.
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Despite its unlimited capacity, not all visual information we encounter is encoded into visual long-term memory. Traditionally, variability in encoding success has been ascribed to variability in the types and efficacy of an individual's cognitive processes during encoding. Accordingly, past studies have identified several neural correlates of variability in encoding success, namely, frontal positivity, occipital alpha amplitude, and frontal theta amplitude, by contrasting the electrophysiological signals recorded during successful and failed encoding processes (i.

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