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Sample Essay: Can one use non-invasive brain measurements to detect conscious awareness?

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A sample 3rd year essay addressing the question: Can one use non-invasive brain measurements to detect conscious awareness?

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  • December 14, 2021
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  • 2021/2022
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cristelle1
Can we use non-invasive methods to assess conscious awareness?

Assessment of consciousness in patients with disorders of consciousness (DOC) has been a

notoriously challenging task, with estimates of inaccurate diagnoses being as high as 40%

(Schnakers et al., 2009). Clinical diagnoses have relied on mostly behavioural markers of

external consciousness and non-reflex based movements, which can be problematic due to how

small patients’ movements can be, and how they can occur randomly. Additionally, these

methods do not work for patients who have deficits in communication, such as an aphasia of

some kind (Bruno et al., 2011). More structured evaluations have been created, such as the

widely used Coma Recovery Scale Revised (CRS-R) (Giacino et al., 2004), however, brain

imaging techniques have proved to be a useful collaborative tool alongside the CRS-R.

Development of techniques such as fMRI, EEG and PET have given us a more direct way of

measuring consciousness, which does not rely on motor responses, but instead goes directly to

the source. Whilst the imaging technique being used is important, it is equally important to

consider the paradigms being used to operationalise a variable as complex as consciousness, as

well as the analysis techniques used when handling the data. One of the largest shifts in the

research has been within the paradigms used to assess conscious awareness, taking a less

passive stance and using a more scientifically rigorous ‘active’ approach (Owen, 2013). This

shift has been crucial in improving the ability of non-invasive imaging techniques to draw

conclusions surrounding consciousness, as it reduces reliance on reverse inference and

encourages a more reliable research design. I will address the ‘old style’ approach to assessing

conscious awareness using non-invasive measurements, the issues with this type of paradigm

and the recent improvements which provide a promising case for why we can indeed use non-

invasive methods to assess consciousness.

, In terms of the so-called “paradigmatic shift” (Owen, 2013) in assessing conscious awareness,

the initial approach that was more passive and reliant on reverse inference is demonstrated by

Owen et al., (2006). Their study caused a stir within the research community due to the bold

conclusions that they drew using fMRI. They conducted two studies upon a 23-year old

vegetative subject; first assessing speech-specific activation in the brain, and finding activation

similar to healthy controls in response to speech and ambiguous words (e.g: creak). The second

study supposedly assessed instruction comprehension, and conscious awareness. They

instructed her to do two mental imaging tasks, and for both conditions, the brain activation

measured by the fMRI was indistinct from the controls. Based on this, they concluded that it

showed “clear intention” on the subject’s part and claimed this was evidence of conscious

awareness “beyond a reasonable doubt”. Since this paper, there has been a number of

comments about the study’s validity in terms of the conclusions drawn. Greenberg et al., (2007)

raised the important question of whether the activation was caused by the final word of the

stimulus sentence, as many psychological processes, including semantic ones, happen

automatically. An important example of this is the ‘cocktail party effect’ (Bronkhorst, 2015)

whereby we can recognise our name being spoken despite paying attention to other auditory

stimuli, demonstrating the unconscious response elicited by hearing our own name. It is

therefore surprising that using a patient’s own name was, and still is, a popular paradigm used

for this type of study (Owen, 2013). Furthermore, Monti et al., (2010) produced a follow up

study that only found that 17% of vegetative patients tested showed similar activations found

by Owen et al (2006).




Other studies that employed similar ‘passive’ methodologies include Machado et al., (2007),

who measured the difference between event-related fMRI activations in vegetative patients and

minimally conscious patients in response to their own name being spoken by a familiar voice.

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