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P4‐313: NON‐INVASIVE IMAGING OF CHOROID PLEXUS BLOOD FLOW AND ITS POTENTIAL RELATIONSHIP TO CSF GENERATION
Author(s) -
Zhao Li,
Taso Manuel,
Press Daniel Z.,
Alsop David C.
Publication year - 2018
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.2018.07.136
Subject(s) - choroid plexus , cerebrospinal fluid , medicine , perfusion , cerebral blood flow , blood flow , nuclear medicine , anatomy , pathology , radiology , central nervous system
cerebral hemodynamics related to the task in non-invasive and unconstrained manners. The purpose of this study is to establish the novel index to monitor cognitive function using fNIRS in the daily function levels in healthy elderly, pre-clinical AD and MCI subjects. Methods:The observation study between non-dementia control (NDC) and MCI was approved by site Institutional Review Boards with written informed consent. The inclusion and exclusion criteria of NDC or MCI were basically referred to the Alzheimer’s Disease Neuroimaging Protocol (ADNI). Cerebral hemodynamics signals were acquired at total 54 channels to cover the cortex region of not only forehead but parietal and somatosensory area on agematched 14 NDC and 12 MCI subjects using continuous-wave fNIRS system by the single daily function level task developed by us. fNIRS signals were refined with principal component analysis spatial filtering to remove global components, then linear regression model between NDC and MCI in combination with all feature quantity of fNIRS signals was obtained using the least absolute shrinkage and selection operator (LASSO) analysis. The receiver operation characteristic (ROC) analysis was done to evaluate the clinical usefulness of the linear regressionmodel which can calculate cognitive ability index. Accuracy of this new index was evaluated using another 25 test data (17 NDC and 8 MCI). Results: The combination of feature quantity; Deoxy-Hb and signal area by sensory examination task showed good consensus to correlate with the region-of-interest on cerebral cortex as well as good performance with an area under the curve (AUC) 0.99, sensitivity 100% and specificity 93% in NDC vs MCI. Accuracy of 25 test data was 58%. Conclusions: fNIRS approach to get the index for cognitive function in present study is potential to monitor the cognitive-normal brain activity in the daily function levels.