Machine learning classification of EEG responses to pain-related vs non-pain-related stimulus in preterm infants
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DOI: 10.1097/pr9.0000000000001332
Abstract: Supplemental Digital Content is Available in the Text. Machine learning was used to classify EEG responses in preterm infants, distinguishing between pain and non-pain-related stimuli, offering a step toward improving real-time Neonatal Intensive Care Unit… read more here.
Keywords: eeg responses; pain; pain related; non pain ... See more keywords
Incorporating models of subcortical processing improves the ability to predict EEG responses to natural speech
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DOI: 10.1101/2023.01.02.522438
Abstract: The goal of describing how the human brain responds to complex acoustic stimuli has driven auditory neuroscience research for decades. Often, a systems-based approach has been taken, in which neurophysiological responses are modeled based on… read more here.
Keywords: predict eeg; speech; acoustic stimuli; eeg responses ... See more keywords
The Effects of Attention on the Syllable-Induced Prepulse Inhibition of the Startle Reflex and Cortical EEG Responses against Energetic or Informational Masking in Humans
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DOI: 10.3390/brainsci12050660
Abstract: Prepulse inhibition (PPI) is the reduction in the acoustic startle reflex (ASR) when the startling stimulus (pulse) is preceded by a weaker, non-starting stimulus. This can be enhanced by facilitating selective attention to the prepulse… read more here.
Keywords: masking; informational masking; prepulse inhibition; eeg responses ... See more keywords