Exploring electrophysiological markers of auditory predictive processes and pathological ageing in adults with Down's Syndrome.

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Jennings, Sally R 
Chennu, Srivas 
Noreika, Valdas 
Le, April 

Down's Syndrome is associated with pathological ageing and a propensity for early-onset Alzheimer's disease. The early symptoms of dementia in people with Down's Syndrome may reflect frontal lobe vulnerability to amyloid deposition. Auditory predictive processes rely on the bilateral auditory cortices with the recruitment of frontal cortices (Doeller et al., 2003; Garrido et al., 2008; Giard et al., 1990; Liasis et al., 2001) and appear to be impaired in pathologies characterized by compromised frontal lobe (Alho et al., 1994; Hughes & Rowe, 2013; Näätänen et al., 2011; Pekkonen et al., 1996; Pekkonen et al., 2001). Hence, auditory predictive processes were investigated to assess Down's Syndrome pathology and its relationship with pathological ageing. An auditory EEG global-local paradigm was presented to the participants, in which oddball stimuli could either violate local or higher-level global rules. We characterised predictive processes in individuals with Down's Syndrome and their relationship with pathological ageing, with a focus on the EEG event-related potential called Mismatch Negativity (MMN) and the P300. In Down's Syndrome, we also evaluated the EEG components as predictor of cognitive decline one year later. We found that predictive processes of detection of auditory violations are overall preserved in Down's Syndrome but also that the amplitude of the MMN to local deviancies decreases with age. However, the one year follow-up of Down's Syndrome found that none of the ERPs measures predicted subsequent cognitive decline. The present study provides a novel characterization of electrophysiological markers of local and global predictive processes in Down's Syndrome.

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Eur J Neurosci
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The Medical Research Council, The Health Foundation, Addenbrooke’s Charitable Trust, Alzheimer’s Research UK Pump Priming Grant – Cambridge Network, Fearnsides Fund, and Marmaduke Sheild Fund funded this research.