Individualized assessment of residual cognition in patients with disorders of consciousness

Laforge, Geoffrey; González-Lara, Laura E.; Owen, Adrian M.; Stojanoski, Bobby

doi:10.1016/j.nicl.2020.102472

Cited by 14 publications

(19 citation statements)

References 46 publications

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“…The scrambled version of "Bang! You're Dead" was generated by isolating 1s segments and pseudorandomly shuffling the segments, thereby eliminating the temporal coherence of the narrative 14,43 .…”

Section: Methodsmentioning

confidence: 99%

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Exploring Electroencephalography with the Aid of Quantum Mechanics

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Laforge

et al. 2021

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An outstanding issue in cognitive neuroscience concerns how the brain is organized across different conditions. For instance, during the resting-state condition, the brain can be clustered into reliable and reproducible networks (e.g., sensory, default, executive networks). Interestingly, the same networks emerge during active conditions in response to various tasks. If similar patterns of neural activity have been found across diverse conditions, and therefore, different underlying processes and experiences of the environment, is the brain organized by a fundamental organizational principle? To test this, we applied principles of quantum mechanisms to model electroencephalogram (EEG) data. We uncovered a tendency for EEG signals to be localized in anterior regions of the brain during “rest”, and more uniformly distributed while engaged in a task (i.e., watching a movie). Moreover, we found analogous values to the Heisenberg uncertainty principle, suggesting a common underlying architecture of human brain activity in resting and task conditions. This underlying architecture manifests itself in the novel constant KBrain, which is extracted from the brain state with the least uncertainty. We would like to state that we are using the mathematics of quantum mechanics, but not claiming that the brain behaves as a quantum object.

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Section: Methodsmentioning

confidence: 99%

“…The scrambled version of "Taken" was created by spectrally rotating the audio, thus rendering the speech indecipherable 43,44 . The scrambled movie clips were presented before the intact versions to prevent potential carry-over effects of the narrative.…”

Section: Methodsmentioning

confidence: 99%

Exploring Electroencephalography with the Aid of Quantum Mechanics

Njm

Metrow

Laforge

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The scrambled version of “ Bang! You’re Dead ” was generated by isolating 1 s segments and pseudorandomly shuffling the segments, thereby eliminating the temporal coherence of the narrative 14 , 43 . The scrambled version of “ Taken ” was created by spectrally rotating the audio, thus rendering the speech indecipherable 43 , 44 .…”

Section: Methodsmentioning

confidence: 99%

“…You’re Dead ” was generated by isolating 1 s segments and pseudorandomly shuffling the segments, thereby eliminating the temporal coherence of the narrative 14 , 43 . The scrambled version of “ Taken ” was created by spectrally rotating the audio, thus rendering the speech indecipherable 43 , 44 . The scrambled movie clips were presented before the intact versions to prevent potential carry-over effects of the narrative.…”

Section: Methodsmentioning

confidence: 99%

Exploring electroencephalography with a model inspired by quantum mechanics

Popiel

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Laforge

et al. 2021

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An outstanding issue in cognitive neuroscience concerns how the brain is organized across different conditions. For instance, during the resting-state condition, the brain can be clustered into reliable and reproducible networks (e.g., sensory, default, executive networks). Interestingly, the same networks emerge during active conditions in response to various tasks. If similar patterns of neural activity have been found across diverse conditions, and therefore, different underlying processes and experiences of the environment, is the brain organized by a fundamental organizational principle? To test this, we applied mathematical formalisms borrowed from quantum mechanisms to model electroencephalogram (EEG) data. We uncovered a tendency for EEG signals to be localized in anterior regions of the brain during “rest”, and more uniformly distributed while engaged in a task (i.e., watching a movie). Moreover, we found analogous values to the Heisenberg uncertainty principle, suggesting a common underlying architecture of human brain activity in resting and task conditions. This underlying architecture manifests itself in the novel constant KBrain, which is extracted from the brain state with the least uncertainty. We would like to state that we are using the mathematics of quantum mechanics, but not claiming that the brain behaves as a quantum object.

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“…In this way, EEG is ideal for routine and repetitive assessments of neural function in patients with severe brain injury. Moreover, EEG has been used extensively in patients with chronic disorders of consciousness to assess residual cognitive function ( 19 , 20 ). In an acute setting, neural responses have shown some promise in predicting outcomes by assessing basic auditory function and covert speech comprehension ( 21 , 22 ).…”

Section: Introductionmentioning

confidence: 99%

Improving Diagnosis and Prognosis in Acute Severe Brain Injury: A Multimodal Imaging Protocol

et al. 2021

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Multi-modal neuroimaging techniques have the potential to dramatically improve the diagnosis of the level consciousness and prognostication of neurological outcome for patients with severe brain injury in the intensive care unit (ICU). This protocol describes a study that will utilize functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), and functional Near Infrared Spectroscopy (fNIRS) to measure and map the brain activity of acute critically ill patients. Our goal is to investigate whether these modalities can provide objective and quantifiable indicators of good neurological outcome and reliably detect conscious awareness. To this end, we will conduct a prospective longitudinal cohort study to validate the prognostic and diagnostic utility of neuroimaging techniques in the ICU. We will recruit 350 individuals from two ICUs over the course of 7 years. Participants will undergo fMRI, EEG, and fNIRS testing several times over the first 10 days of care to assess for residual cognitive function and evidence of covert awareness. Patients who regain behavioral awareness will be asked to complete web-based neurocognitive tests for 1 year, as well as return for follow up neuroimaging to determine which acute imaging features are most predictive of cognitive and functional recovery. Ultimately, multi-modal neuroimaging techniques may improve the clinical assessments of patients' level of consciousness, aid in the prediction of outcome, and facilitate efforts to find interventional methods that improve recovery and quality of life.

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Individualized assessment of residual cognition in patients with disorders of consciousness

Cited by 14 publications

References 46 publications

Exploring Electroencephalography with the Aid of Quantum Mechanics

Exploring Electroencephalography with the Aid of Quantum Mechanics

Exploring electroencephalography with a model inspired by quantum mechanics

Improving Diagnosis and Prognosis in Acute Severe Brain Injury: A Multimodal Imaging Protocol

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Individualized assessment of residual cognition in patients with disorders of consciousness

Cited by 14 publications

References 46 publications

Exploring Electroencephalography with the Aid of Quantum Mechanics

Exploring Electroencephalography with the Aid of Quantum Mechanics

Exploring﻿ electroencephalography with a model inspired by quantum mechanics

Improving Diagnosis and Prognosis in Acute Severe Brain Injury: A Multimodal Imaging Protocol

Contact Info

Product

Resources

About

Exploring electroencephalography with a model inspired by quantum mechanics