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P3‐248: Post‐operative cognitive changes are strikingly similar to that seen in Alzheimer's disease
Author(s) -
Palotás András,
Reis Helton J.,
Teixeira Antonio L.,
Mukhamedyarov Marat A.,
Rizvanov Albert A.,
Janka Zoltán,
Kálmán János
Publication year - 2010
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.2010.05.1747
Subject(s) - bypass grafting , cognitive decline , medicine , cardiac surgery , cognition , disease , artery , cardiology , coronary artery disease , amyloid (mycology) , cognitive impairment , cerebrospinal fluid , postoperative cognitive dysfunction , dementia , pathology , psychiatry
with Alzheimer’s disease (Verdoorn et al., 2009, Alz. Dementia 5:P260). We have extended these findings to identify specific patterns of functional brain activity associated with disease progression and severity. Methods: Clinical studies were conducted to collect resting-state MEG scans and associated clinical evaluations for volunteer subjects older than 55 who were healthy or had previous diagnoses of Alzheimer’ disease (AD) or mild cognitive impairment (MCI). MEG data from one minute, eyes open resting-state scans was processed and analyzed separately in 8 predefined groups of sensors (31 sensors each group) using a regional variant of the Synchronous Neural Interaction (SNI) Test (Georgopoulos et al., 2007, J. Neural Eng. 4: 349). A subset of subjects were evaluated and scanned twice separated by approximately 9 months to assess changes associated with disease progression. Results: Region-specific, functional changes associated with diagnosis were observed and normalized results from some regions are summarized in the Table. Conclusions: These results suggest that multivariate analyses of SNI results can potentially differentiate subjects based on disease progression and provide a useful biomarker for tracking severity in clinical trials. Combining these analyses with standard frequency domain analyses methods will likely strengthen disease severity models since each view of the data provides unique information. Results of ongoing longitudinal testing of this study cohort will provide further confirmation of these observations and support continued improvement of the algorithms used to define disease progression and severity.