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Functional brain imaging reliably predicts which vegetative patients have potential to recover consciousness

Date:
April 15, 2014
Source:
The Lancet
Summary:
A functional brain imaging technique known as positron emission tomography is a promising tool for determining which severely brain damaged individuals in vegetative states have the potential to recover consciousness, according to new research.

PET equipment. A functional brain imaging technique known as positron emission tomography (PET) is a promising tool for determining which severely brain damaged individuals in vegetative states have the potential to recover consciousness, according to new research.
Credit: © sonap / Fotolia

A functional brain imaging technique known as positron emission tomography (PET) is a promising tool for determining which severely brain damaged individuals in vegetative states have the potential to recover consciousness, according to new research published in The Lancet.

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It is the first time that researchers have tested the diagnostic accuracy of functional brain imaging techniques in clinical practice.

"Our findings suggest that PET imaging can reveal cognitive processes that aren't visible through traditional bedside tests, and could substantially complement standard behavioural assessments to identify unresponsive or "vegetative" patients who have the potential for long-term recovery," says study leader Professor Steven Laureys from the University of Liége in Belgium.

In severely brain-damaged individuals, judging the level of consciousness has proved challenging. Traditionally, bedside clinical examinations have been used to decide whether patients are in a minimally conscious state (MCS), in which there is some evidence of awareness and response to stimuli, or are in a vegetative state (VS) also known as unresponsive wakefulness syndrome, where there is neither, and the chance of recovery is much lower. But up to 40% of patients are misdiagnosed using these examinations.

"In patients with substantial cerebral oedema [swelling of the brain], prediction of outcome on the basis of standard clinical examination and structural brain imaging is probably little better than flipping a coin," writes Jamie Sleigh from the University of Auckland, New Zealand, and Catherine Warnaby from the University of Oxford, UK.

The study assessed whether two new functional brain imaging techniques -- PET with the imaging agent fluorodeoxyglucose (FDG) and functional MRI (fMRI) during mental imagery tasks -- could distinguish between vegetative and MCS in 126 patients with severe brain injury (81 in a MCS, 41 in a VS, and four with locked-in syndrome -- a behaviourally unresponsive but conscious control group) referred to the University Hospital of Liége, in Belgium, from across Europe. The researchers then compared their results with the well-established standardised Coma Recovery Scale-Revised (CSR-R) behavioural test, considered the most validated and sensitive method for discriminating very low awareness.

Overall, FDG-PET was better than fMRI in distinguishing conscious from unconscious patients. Mental imagery fMRI was less sensitive at diagnosis of a MCS than FDG-PET (45% vs 93%), and had less agreement with behavioural CRS-R scores than FDG-PET (63% vs 85%). FDG-PET was about 74% accurate in predicting the extent of recovery within the next year, compared with 56% for fMRI.

Importantly, a third of the 36 patients diagnosed as behaviourally unresponsive on the CSR-R test who were scanned with FDG-PET showed brain activity consistent with the presence of some consciousness. Nine patients in this group subsequently recovered a reasonable level of consciousness.

According to Professor Laureys, "We confirm that a small but substantial proportion of behaviourally unresponsive patients retain brain activity compatible with awareness. Repeated testing with the CRS-R complemented with a cerebral FDG-PET examination provides a simple and reliable diagnostic tool with high sensitivity towards unresponsive but aware patients. fMRI during mental tasks might complement the assessment with information about preserved cognitive capability, but should not be the main or sole diagnostic imaging method."

The authors point out that the study was done in a specialist unit focusing on the diagnostic neuroimaging of disorders of consciousness and therefore roll out might be more challenging in less specialist units.

Commenting on the study Jamie Sleigh and Catherine Warnaby add, "From these data, it would be hard to sustain a confident diagnosis of unresponsive wakefulness syndrome solely on behavioural grounds, without PET imaging for confirmation…[This] work serves as a signpost for future studies. Functional brain imaging is expensive and technically challenging, but it will almost certainly become cheaper and easier. In the future, we will probably look back in amazement at how we were ever able to practise without it."


Story Source:

The above story is based on materials provided by The Lancet. Note: Materials may be edited for content and length.


Journal Reference:

  1. Johan Stender, Olivia Gosseries, Marie-Aurélie Bruno, Vanessa Charland-Verville, Audrey Vanhaudenhuyse, Athena Demertzi, Camille Chatelle, Marie Thonnard, Aurore Thibaut, Lizette Heine, Andrea Soddu, Mélanie Boly, Caroline Schnakers, Albert Gjedde, Steven Laureys. Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: a clinical validation study. The Lancet, 2014; DOI: 10.1016/S0140-6736(14)60042-8

Cite This Page:

The Lancet. "Functional brain imaging reliably predicts which vegetative patients have potential to recover consciousness." ScienceDaily. ScienceDaily, 15 April 2014. <www.sciencedaily.com/releases/2014/04/140415203700.htm>.
The Lancet. (2014, April 15). Functional brain imaging reliably predicts which vegetative patients have potential to recover consciousness. ScienceDaily. Retrieved November 28, 2014 from www.sciencedaily.com/releases/2014/04/140415203700.htm
The Lancet. "Functional brain imaging reliably predicts which vegetative patients have potential to recover consciousness." ScienceDaily. www.sciencedaily.com/releases/2014/04/140415203700.htm (accessed November 28, 2014).

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