The Forecast Research Of POCD Based On The Resting State FMRI ALFF Algorithm

Objective:Postoperative cognitive dysfunction(POCD)may affect patients’ cognitive function and quality of life after surgery.As patients undergoing major surgery have increased year by year,it is necessary to establish an objective and noninvasive functional imaging method for prediction of POCD.The objective of the present study was to explore characteristic biomarker of POCD by collecting and analyzing the preoperative data of resting state functional magnetic resonance(rs-fMRI)in eldly patients undergoing noncardiac major surgery.Method:Right-handed patients undergoing noncardiac major surgery were enrolled,whose age were 60-80.According to the results of neuropsychological test at discharge,patients were divided into the POCD group and the non-POCD group.The data of head regular scans and rs-fMRI were collected preoperatively.The pattern of spontaneous neuronal activities in functional brain regions between the two groups were compared by ALFF and fALFF algorithm.Results: Thirty five patients were enrolled.There were 15 cases in the POCD group and 20 cases in the non-POCD group.There were significant differences in the preoperative pattern of spontaneous neuronal activities in functional brain regions between the two groups.Compared with non-POCD patients,POCD patients showed decreased ALFF in medial frontal cortex and caudate nucleus.ALFF in PCC and right parietal lobule was increased in the POCD group as compared with that in the non-POCD group.POCD patients also showed decreased fALFF in left frontal cortex,medial frontal cortex and right frontal cortex.fALFF in PCC,right thalamus and right parietal lobule was increased in the POCD group as compared with that in the non-POCD group.Conclusion: POCD patients have characteristic preoperative pattern of spontaneous neuronal activity.