Literature DB >> 18786570

Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimer's disease.

Hong-Ying Zhang1, Shi-Jie Wang, Jiong Xing, Bin Liu, Zhan-Long Ma, Ming Yang, Zhi-Jun Zhang, Gao-Jun Teng.   

Abstract

Resting-state networks dissociate in the early stage of Alzheimer's disease (AD). The posterior cingulate cortex (PCC) in AD brain is vulnerable to isolation from the rest of brain. However, it remains unclear how this functional connectivity is related to PCC changes. We employed resting-state functional MRI (fMRI) to examine brain regions with a functional connection to PCC in a mild AD group compared with matched control subjects. PCC connectivity was gathered by investigating synchronic low frequency fMRI signal fluctuations with a temporal correlation method. We found asymmetric PCC-left hippocampus, right dorsal-lateral prefrontal cortex and right thalamus connectivity disruption. In addition, some other regions such as the bilateral visual cortex, the infero-temporal cortex, the posterior orbital frontal cortex, the ventral medial prefrontal cortex and the precuneus showed decreased functional connectivity to the PCC. There were also some regions, primarily in the left frontal-parietal cortices, that showed increased connectivity. These regions included the medial prefrontal cortex, bilateral dorsal-lateral prefrontal cortex, the left basal ganglia and the left primary motor cortex. Impairments to memory, high vision-related functions and olfaction in AD can be explained by a disruption to the functional connection of resting-state networks. The results of increased connectivity may support the compensatory-recruitment hypothesis. Our findings suggest that the characteristics of resting-state functional connectivity could plausibly provide an early imaging biomarker for AD.

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Year:  2008        PMID: 18786570     DOI: 10.1016/j.bbr.2008.08.012

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  103 in total

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

Authors:  Yuan Zhou; Kun Wang; Yong Liu; Ming Song; Sonya W Song; Tianzi Jiang
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2.  Functional connectivity variations in mild cognitive impairment: associations with cognitive function.

Authors:  S Duke Han; Konstantinos Arfanakis; Debra A Fleischman; Sue E Leurgans; Elizabeth R Tuminello; Emily C Edmonds; David A Bennett
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4.  Default mode network interference in mild traumatic brain injury - a pilot resting state study.

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Authors:  Michela Pievani; Willem de Haan; Tao Wu; William W Seeley; Giovanni B Frisoni
Journal:  Lancet Neurol       Date:  2011-07-21       Impact factor: 44.182

8.  Brain-State Extraction Algorithm Based on the State Transition (BEST): A Dynamic Functional Brain Network Analysis in fMRI Study.

Authors:  Young-Beom Lee; Kwangsun Yoo; Jee Hoon Roh; Won-Jin Moon; Yong Jeong
Journal:  Brain Topogr       Date:  2019-06-03       Impact factor: 3.020

9.  Semantic memory activation in amnestic mild cognitive impairment.

Authors:  J L Woodard; M Seidenberg; K A Nielson; P Antuono; L Guidotti; S Durgerian; Q Zhang; M Lancaster; N Hantke; A Butts; S M Rao
Journal:  Brain       Date:  2009-06-10       Impact factor: 13.501

10.  Amyloid plaques disrupt resting state default mode network connectivity in cognitively normal elderly.

Authors:  Yvette I Sheline; Marcus E Raichle; Abraham Z Snyder; John C Morris; Denise Head; Suzhi Wang; Mark A Mintun
Journal:  Biol Psychiatry       Date:  2009-10-14       Impact factor: 13.382

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