Visual cognition in disorders of consciousness: from V1 to top-down attention
- PMID: 22287214
- PMCID: PMC6870132
- DOI: 10.1002/hbm.21507
Visual cognition in disorders of consciousness: from V1 to top-down attention
Abstract
What is it like to be at the lower boundaries of consciousness? Disorders of consciousness such as coma, the vegetative state, and the minimally conscious state are among the most mysterious and least understood conditions of the human brain. Particularly complicated is the assessment of residual cognitive functioning and awareness for diagnostic, rehabilitative, legal, and ethical purposes. In this article, we present a novel functional magnetic resonance imaging exploration of visual cognition in a patient with a severe disorder of consciousness. This battery of tests, first developed in healthy volunteers, assesses increasingly complex transformations of visual information along a known caudal to rostral gradient from occipital to temporal cortex. In the first five levels, the battery assesses (passive) processing of light, color, motion, coherent shapes, and object categories (i.e., faces, houses). At the final level, the battery assesses the ability to voluntarily deploy visual attention in order to focus on one of two competing stimuli. In the patient, this approach revealed appropriate brain activations, undistinguishable from those seen in healthy and aware volunteers. In addition, the ability of the patient to focus one of two competing stimuli, and switch between them on command, also suggests that he retained the ability to access, to some degree, his own visual representations.
Copyright © 2012 Wiley Periodicals, Inc.
Figures
Similar articles
-
Functional MRI in disorders of consciousness: advantages and limitations.Curr Opin Neurol. 2007 Dec;20(6):632-7. doi: 10.1097/WCO.0b013e3282f15669. Curr Opin Neurol. 2007. PMID: 17992081 Review.
-
Finding a way in: a review and practical evaluation of fMRI and EEG for detection and assessment in disorders of consciousness.Neurosci Biobehav Rev. 2013 Sep;37(8):1403-19. doi: 10.1016/j.neubiorev.2013.05.004. Epub 2013 May 13. Neurosci Biobehav Rev. 2013. PMID: 23680699 Review.
-
Assessment of Statistically Significant Command-Following in Pediatric Patients with Disorders of Consciousness, Based on Visual, Auditory and Tactile Event-Related Potentials.Int J Neural Syst. 2019 Apr;29(3):1850048. doi: 10.1142/S012906571850048X. Epub 2018 Oct 29. Int J Neural Syst. 2019. PMID: 30606086
-
Measuring the fading consciousness in the human brain.Curr Opin Neurol. 2011 Aug;24(4):394-400. doi: 10.1097/WCO.0b013e328347da94. Curr Opin Neurol. 2011. PMID: 21577107 Review.
-
A network approach to assessing cognition in disorders of consciousness.Neurology. 2010 Nov 23;75(21):1871-8. doi: 10.1212/WNL.0b013e3181feb259. Epub 2010 Oct 27. Neurology. 2010. PMID: 20980667 Free PMC article.
Cited by
-
Brain-Computer Interfaces for Communication in Patients with Disorders of Consciousness: A Gap Analysis and Scientific Roadmap.Neurocrit Care. 2024 Jan 29. doi: 10.1007/s12028-023-01924-w. Online ahead of print. Neurocrit Care. 2024. PMID: 38286946
-
Disclosing Results of Tests for Covert Consciousness: A Framework for Ethical Translation.Neurocrit Care. 2024 Jan 19. doi: 10.1007/s12028-023-01899-8. Online ahead of print. Neurocrit Care. 2024. PMID: 38243150
-
The Potential Role of fNIRS in Evaluating Levels of Consciousness.Front Hum Neurosci. 2021 Jul 8;15:703405. doi: 10.3389/fnhum.2021.703405. eCollection 2021. Front Hum Neurosci. 2021. PMID: 34305558 Free PMC article.
-
Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies.Nat Rev Neurol. 2021 Mar;17(3):135-156. doi: 10.1038/s41582-020-00428-x. Epub 2020 Dec 14. Nat Rev Neurol. 2021. PMID: 33318675 Free PMC article. Review.
-
MRI in disorders of consciousness.Curr Opin Neurol. 2020 Dec;33(6):676-683. doi: 10.1097/WCO.0000000000000873. Curr Opin Neurol. 2020. PMID: 33044234 Free PMC article. Review.
References
-
- Beauchamp MS, Haxby JV, Jennings JE, DeYoe EA ( 1999): An fMRI version of the Farnsworth‐Munsell 100‐Hue test reveals multiple color‐selective areas in human ventral occipitotemporal cortex. Cereb Cortex 9: 257–263. - PubMed
-
- Beckmann CF, Jenkinson M, Smith SM ( 2003): General multilevel linear modeling for group analysis in FMRI. Neuroimage 20: 1052–1063. - PubMed
-
- Bekinschtein TA, Coleman MR, Niklison J III, Pickard JD, Manes FF ( 2008): Can electromyography objectively detect voluntary movement in disorders of consciousness? J Neurol Neurosurg Psychiatry 79: 826–828. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
