Diagnostic power of default mode network resting state fMRI in the detection of Alzheimer's disease

2012 ◽  
Vol 33 (3) ◽  
pp. 466-478 ◽  
Author(s):  
Walter Koch ◽  
Stephan Teipel ◽  
Sophia Mueller ◽  
Jens Benninghoff ◽  
Maxmilian Wagner ◽  
...  
2012 ◽  
Vol 33 (8) ◽  
pp. 1564-1578 ◽  
Author(s):  
Federica Agosta ◽  
Michela Pievani ◽  
Cristina Geroldi ◽  
Massimiliano Copetti ◽  
Giovanni B. Frisoni ◽  
...  

Author(s):  
Yunlong Nie ◽  
Eugene Opoku ◽  
Laila Yasmin ◽  
Yin Song ◽  
Jie Wang ◽  
...  

AbstractWe conduct an imaging genetics study to explore how effective brain connectivity in the default mode network (DMN) may be related to genetics within the context of Alzheimer’s disease and mild cognitive impairment. We develop an analysis of longitudinal resting-state functional magnetic resonance imaging (rs-fMRI) and genetic data obtained from a sample of 111 subjects with a total of 319 rs-fMRI scans from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. A Dynamic Causal Model (DCM) is fit to the rs-fMRI scans to estimate effective brain connectivity within the DMN and related to a set of single nucleotide polymorphisms (SNPs) contained in an empirical disease-constrained set which is obtained out-of-sample from 663 ADNI subjects having only genome-wide data. We relate longitudinal effective brain connectivity estimated using spectral DCM to SNPs using both linear mixed effect (LME) models as well as function-on-scalar regression (FSR). In both cases we implement a parametric bootstrap for testing SNP coefficients and make comparisons with p-values obtained from asymptotic null distributions. In both networks at an initial q-value threshold of 0.1 no effects are found. We report on exploratory patterns of associations with relatively high ranks that exhibit stability to the differing assumptions made by both FSR and LME.


2016 ◽  
Vol 12 ◽  
pp. P930-P930
Author(s):  
Hanne Struyfs ◽  
Vasilis Terzopoulos ◽  
Frank De Belder ◽  
Paul M. Parizel ◽  
Wim Van Hecke ◽  
...  

2020 ◽  
Author(s):  
BUHARI IBRAHIM ◽  
Nisha Syed Nasser ◽  
NORMALA IBRAHIM ◽  
Mazlyfarina Mohamed ◽  
Hasyma Abu Hassan ◽  
...  

Resting state fMRI (rs-fMRI) detects functional connectivity (FC) abnormalities that occur in the brains of patients with Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). FC of the default mode network (DMN), which is involved in memory consolidation, is commonly impaired in AD and MCI. We aimed to determine the diagnostic power of rs-fMRI to identify FC abnormalities in the DMN, which help to distinguish patients with AD or MCI from healthy controls (HCs). We searched articles in PubMed and Scopus databases using the search terms such as AD, MCI, resting-state fMRI, sensitivity and specificity through to 27th March 2020 and removed duplicate papers. We screened 390 published articles, and shortlisted 12 articles for the final analysis. The range of sensitivity of DMN FC at the posterior cingulate cortex (PCC) for diagnosing AD was between 65.7% - 100% and specificity ranged from 66 - 95%. Reduced DMN FC between the PCC and anterior cingulate cortex (ACC) in the frontal lobes was observed in MCI patients. AD patients had impaired FC in most regions of the DMN; particularly the PCC in early AD. This indicates that DMN's rs-fMRI FC can offer moderate to high diagnostic power to distinguish AD and MCI patients. fMRI detected abnormal DMN FC, particularly in the PCC that helps to differentiate AD and MCI patients from healthy controls (HCs). Combining multivariate method of analysis with other MRI parameters such as structural changes improve the diagnostic power of rs-fMRI in distinguishing patients with AD or MCI from HCs.


2011 ◽  
Vol 7 ◽  
pp. S730-S730
Author(s):  
Federica Agosta ◽  
Michela Pievani ◽  
Cristina Geroldi ◽  
Massimiliano Copetti ◽  
Giovanni Frisoni ◽  
...  

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