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// Hai Rong Ma 1 , Ping Lei Pan 2 , Li Qin Sheng 1 , Zhen Yu Dai 3 , Gen Di Wang 2 , Rong Luo 2 , Jia Hui Chen 2 , Pei Rong Xiao 2 , Jian Guo Zhong 2 and Hai Cun Shi 2 1 Department of Neurology, Traditional Chinese Medicine Hospital of Kunshan, Kunshan, PR China 2 Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China 3 Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China Correspondence to: Jian Guo Zhong, email: yc3yjgzhong@163.com Hai Cun Shi, email: yc3yhcshi@gmail.com Keywords: Alzheimer’s disease, arterial spin labeling, default mode network, meta-analysis, seed-based d mapping Received: May 18, 2017 Accepted: September 20, 2017 Published: October 04, 2017 ABSTRACT Many studies have applied arterial spin labeling (ASL) to characterize cerebral perfusion patterns of Alzheimer’s disease (AD). However, findings across studies are not conclusive. A quantitatively voxel-wise meta-analysis to pool the resting-state ASL studies that measure regional cerebral blood flow (rCBF) alterations in AD was conducted to identify the most consistent and replicable perfusion pattern using seed-based d mapping. The meta-analysis, including 17 ASL studies encompassing 327 AD patients and 357 healthy controls, demonstrated that decreased rCBF in AD patients relative to healthy controls were consistently identified in the bilateral posterior cingulate cortices (PCC)/precuneus, bilateral inferior parietal lobules (IPLs), and left dorsolateral prefrontal cortex. The meta-regression analysis showed that more severe cognitive impairment in the AD samples correlated with greater decreases of rCBF in the bilateral PCC and left IPL. This study characterizes an aberrant ASL-rCBF perfusion pattern of AD involving the posterior default mode network and executive network, which are implicated in its pathophysiology and hold promise for developing imaging biomarkers.

Voxel-based morphometry (VBM) studies have provided cumulative evidence of gray matter (GM) atrophy in patients with progressive supranuclear palsy (PSP) relative to healthy controls (HC). However, not all findings have been entirely concordant. Herein, we performed a quantitative meta-analysis study in order to consistently quantify GM anomalies in PSP. We conducted a systematic search for VBM studies of PSP patients and HC using PubMed and Embase databases from January 2000 to May 2012. Meta-analysis of these VBM studies was performed using a newly improved voxel-based meta-analytic technique, effect-size signed differential mapping. A total of 9 cross-sectional VBM studies that involved 143 PSP patients and 216 HC subjects met the inclusion criteria. Considerable regional GM volume decrease was detected in the thalamus, basal ganglia, midbrain, insular cortex, and frontal cortex. These findings remained largely unchanged following jackknife sensitivity analyses. The present meta-analysis provided evidence of PSP-specific GM atrophy. This finding might help contribute to our understanding of the neurobiological basis underlying PSP.

Voxel-based morphometry (VBM) studies have provided cumulative evidence of gray matter (GM) atrophy in patients with Parkinson’s disease with dementia (PDD) relative to healthy controls (HC). However, not all the studies reported entirely consistent findings. A systematic search for VBM studies of PDD patients and HC subjects published in PubMed and Embase databases from January 2000 to June 2012 was conducted. Meta-analysis was performed by using a newly improved voxel-based meta-analytic technique, effect size signed differential mapping, to quantitatively explore the GM abnormalities between PDD patients and HC subjects. A total of 6 cross-sectional VBM studies involving 105 PDD patients and 131 HC subjects met the inclusion criteria. Considerable regional GM decrease was detected in the medial temporal lobe (MTL) and basal ganglia. The findings of the present study remained largely unchanged in the entire brain jackknife sensitivity analyses. Meta-regression showed dementia severity correlated with the left MTL. The present meta-analysis provided evidence of PDD-related GM atrophy, which suggested MTL and basal ganglia were implicated in PDD. This finding could give us further insight about the pathophysiological basis revealed by structure abnormalities in PDD.