Impairment and compensation coexist in amnestic MCI default mode network

Qi, Zhigang; Wu, Xia; Wang, Zhi­qun; Zhang, Nang; Dong, Hui; Yao, Li; Li, Kuncheng

doi:10.1016/j.neuroimage.2009.12.025

Cited by 302 publications

(284 citation statements)

References 58 publications

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“…By applying ICA and ROI-based FC analysis, Sorg et al2007 further found that the patients with aMCI, demonstrated reduced network-related activity in selected areas of the DMN (left PCC and right MPFC). However, a recent study also found increased activty in the DMN mainly involving the frontal-parietal regions, further supporting the compensatory effect to cognitive deficit which was suggested by the decreased activity in the medial temporal lobes and PCC in aMCI (Qi et al 2009). …”

Section: Local Network Analyses and Progress In Understanding Neuropsmentioning

confidence: 69%

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

et al. 2010

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As functional magnetic resonance imaging (fMRI) studies have yielded increasing amounts of information about the brain's spontaneous activity, they have revealed fMRI's potential to locate changes in brain hemodynamics that are associated with neuropsychiatric disorders. In this paper, we review studies that support the notion that changes in brain spontaneous activity observed by fMRI can be used as potential biomarkers for diagnosis and treatment evaluation in neuropsychiatric disorders. We first review the methods used to study spontaneous activity from the perspectives of (1) the properties of local spontaneous activity, (2) the spatial pattern of spontaneous activity, and (3) the topological properties of brain networks. We also summarize the major findings associated with major neuropsychiatric disorders obtained using these methods. Then we review the pilot studies that have used spontaneous activity to discriminate patients from normal controls. Finally, we discuss current challenges and potential research directions to further elucidate the clinical use of spontaneous brain activity in neuropsychiatric disorders.

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Section: Local Network Analyses and Progress In Understanding Neuropsmentioning

confidence: 69%

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

et al. 2010

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“…In contrast, Qi and colleagues have used the FC analysis method and found that impairment and compensation coexist in the disease progression of aMCI [55] . Accordingly, other recent studies have also shown both increased and decreased hippocampal connectivity in aMCI patients.…”

Section: Resting-state Functional Mrimentioning

confidence: 97%

Can multi-modal neuroimaging evidence from hippocampus provide biomarkers for the progression of amnestic mild cognitive impairment?

Chen

Zhang

2015

Neurosci. Bull.

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Impaired structure and function of the hippocampus is a valuable predictor of progression from amnestic mild cognitive impairment (aMCI) to Alzheimer's disease (AD). As a part of the medial temporal lobe memory system, the hippocampus is one of the brain regions affected earliest by AD neuropathology, and shows progressive degeneration as aMCI progresses to AD. Currently, no validated biomarkers can precisely predict the conversion from aMCI to AD. Therefore, there is a great need of sensitive tools for the early detection of AD progression. In this review, we summarize the specifi c structural and functional changes in the hippocampus from recent aMCI studies using neurophysiological and neuroimaging data. We suggest that a combination of advanced multi-modal neuroimaging measures in discovering biomarkers will provide more precise and sensitive measures of hippocampal changes than using only one of them. These will potentially affect early diagnosis and disease-modifying treatments. We propose a new sequential and progressive framework in which the impairment spreads from the integrity of fibers to volume and then to function in hippocampal subregions. Meanwhile, this is likely to be accompanied by progressive impairment of behavioral and neuropsychological performance in the progression of aMCI to AD.

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“…Brain regions linked to AD pathology in studies using MEG and structural MRI (de Haan, Mott, et al., 2012; de Haan, van der Flier, et al., 2012; Tijms et al., 2013) show high connectivity in RS‐fMRI; they are hub regions . The high vulnerability of hubs for AD is also found in RS‐fMRI studies (Buckner et al., 2009; Qi et al., 2010). The default mode network (DMN) and other resting‐state networks, that is, regions with synchronized fMRI activity, have been studied as markers for AD progression (Binnewijzend et al., 2012; Filippini et al., 2009; Sheline et al., 2010).…”

Section: Introductionmentioning

confidence: 99%

Functional brain network centrality is related to APOE genotype in cognitively normal elderly

et al. 2018

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IntroductionAmyloid plaque deposition in the brain is an early pathological change in Alzheimer's disease (AD), causing disrupted synaptic connections. Brain network disruptions in AD have been demonstrated with eigenvector centrality (EC), a measure that identifies central regions within networks. Carrying an apolipoprotein (APOE)‐ε4 allele is a genetic risk for AD, associated with increased amyloid deposition. We studied whether APOE‐ε4 carriership is associated with EC disruptions in cognitively normal individuals.MethodsA total of 261 healthy middle‐aged to older adults (mean age 56.6 years) were divided into high‐risk (APOE‐ε4 carriers) and low‐risk (noncarriers) groups. EC was computed from resting‐state functional MRI data. Clusters of between‐group differences were assessed with a permutation‐based method. Correlations between cluster mean EC with brain volume, CSF biomarkers, and psychological test scores were assessed.ResultsDecreased EC in the visual cortex was associated with APOE‐ε4 carriership, a genetic risk factor for AD. EC differences were correlated with age, CSF amyloid levels, and scores on the trail‐making and 15‐object recognition tests.ConclusionOur findings suggest that the APOE‐ε4 genotype affects brain connectivity in regions previously found to be abnormal in AD as a sign of very early disease‐related pathology. These differences were too subtle in healthy elderly to use EC for single‐subject prediction of APOE genotype.

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Impairment and compensation coexist in amnestic MCI default mode network

Cited by 302 publications

References 58 publications

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

Spontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders

Can multi-modal neuroimaging evidence from hippocampus provide biomarkers for the progression of amnestic mild cognitive impairment?

Functional brain network centrality is related to APOE genotype in cognitively normal elderly

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