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P1‐268: NETWORK‐SPECIFICITY OF MULTIMODAL IMAGING ABNORMALITIES IN ALZHEIMER'S DISEASE
Author(s) -
Grothe Michel J.,
Teipel Stefan
Publication year - 2014
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.2014.05.508
Subject(s) - default mode network , neuroimaging , neuroscience , atrophy , disease , psychology , human brain , pathology , medicine , functional connectivity
Background: Cerebral blood flow imaging using single-photon emission computed tomography (SPECT) provides a sensitive diagnostic and research tool for the assessment of regional cerebral blood flow(rCBF) in dementia with Lewy bodies (DLB) as well as Alzheimer’s disease (AD). This study aimed to detect different patterns of hypoperfusion in DLB according to disease progression using Tc-99m HMPAO SPECT. Methods: Two groups of subjects participated in this study. Thirty three DLB patients and 30 normal control subjects were recruited, who had been diagnosed as probable and possible DLB, according to the clinical criteria of the consortium on DLB. All patients were evaluated by careful neurological examination and clinical evaluation with detailed neuropsychological testing. They were divided into stages of CDR 0.5 (n1⁄49), CDR 1 (n1⁄417) and CDR 2 (n1⁄47) by clinical dementia rating score. Patients with DLB.Tc-99mHMPAO SPECTwas performed for measuring rCBF. SPM 8 software was used to analyze SPECT image data. The SPECT data of all patients with DLB were compared with those of the control subjects and then each subgroup according to disease stage of CDR was compared with control subjects. Results: Thirty three DLB patients were consecutive recruited using brain imaging such as MRI or CT, detailed neuropsychological testing and Tc-99m HMPAO SPECT. We processed SPECT images with SPM8 software and performed voxel-based statistical parametric mapping analysis. Compared with normal controls, all DLB patients demonstrated perfusion deficits in both lingual gyrus, right parahippocampal gyrus, right cingulate gyrus, right transverse temporal gyrus, both caudate nucleus, left cuneus, left middle occipital gyrus, left middle and superior temporal gyrus and left inferior frontal gyrus (uncorrected P < 0.001). Compared with control subjects, CDR 0.5 group demonstrated hypoperfusion in right ligual gyrus, both cuneus, both middle occipital gyrus and right superior parietal lobule (uncorrected P < 0.001), CDR 1 group showed hypoperfusion in both fusiform gyrus, right lingual gyrus, right insula, both caudate nucleus, both anterior cingulate gyrus, right thalamus, left inferior frontal gyrus and left posterior cingulate gyrus (uncorrected P < 0.001) and CDR 2 group showed hypoperfusion areas of right cuneus, left parahippocampal gyrus, both lingual gyrus, left cingulate gyrus, left caudate nucleus, left temporal gyrus, right superior parietal lobule and left precuneus (uncorrected P < 0.001). Conclusions: Our study demonstrated that distinct hypoperfusion patterns were observed in patients with DLB according to disease progression evaluated by clinical dementia rating score. As progression of disease severity, hypoperfusion pattern in DLB reveal the tendency of spreading to frontal cortex with temporal lobe.