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P2‐409: Alzheimer's disease–related changes in plasma cortisol levels and gene involvement in the AIBL study
Author(s) -
Laws Simon,
Bender Sophie,
RaineySmith Stephanie,
Wilson Andrea,
Gupta Veer Bala,
Ruyck Karl,
Bush Ashley,
Ellis Kathryn,
Macaulay Lance,
Rowe Christopher,
Szoeke Cassandra,
Taddei Kevin,
Ames David,
Masters Colin,
Martins Ralph
Publication year - 2012
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2012.05.2034
Subject(s) - neuropathology , medicine , oncology , biomarker , dementia , cohort , psychology , endocrinology , disease , biology , genetics
paradigm is being used for ERP testing. Wavelet decomposition of ERP waves will be used to train artificial neural networks (ANNs) to automatically classify AD from control subjects.Results:Recruitment of 47 subjects (39 controls, 8 ADs) has been completed. As shown in attached table, preliminary analysis of 8 AD and 8 ageand education-matched control subjects reveals a statistically significant difference in the latency of P300 peak at electrode Fz in response to the distracter tone (p < 0.05). It is expected that sufficient number of AD subjects will be recruited by June 2012 to enable training of ANNs based on ERP data. Conclusions: Preliminary analysis of ERP data demonstrate a promising trend in P300 latency for discriminating between early AD and healthy controls. Depending on recruitment, classification data will be presented along with updated statistical analyses.