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Dynamic functional connectivity changes in dementia with Lewy bodies and Alzheimer's disease
被引:78
|作者:
Schumacher, Julia
[1
]
Peraza, Luis R.
[1
,2
]
Firbank, Michael
[1
]
Thomas, Alan J.
[1
]
Kaiser, Marcus
[2
,3
]
Gallaghe, Peter
[3
]
O'Brien, John T.
[4
]
Blamire, Andrew M.
[5
,6
]
Taylor, John-Paul
[1
]
机构:
[1] Newcastle Univ, Inst Neurosci, Biomed Res Bldg 3rd Floor,Campus Ageing & Vital, Newcastle Upon Tyne NE4 5PL, Tyne & Wear, England
[2] Newcastle Univ, Sch Comp, Interdisciplinary Comp & Complex BioSyst ICOS Res, Newcastle Upon Tyne NE4 5TG, Tyne & Wear, England
[3] Newcastle Univ, Inst Neurosci, Henry Wellcome Bldg, Newcastle Upon Tyne NE2 4HH, Tyne & Wear, England
[4] Univ Cambridge, Dept Psychiat, Sch Med, Cambridge CB2 0SP, England
[5] Inst Cellular Med, Campus Ageing & Vital, Newcastle Upon Tyne NE4 5PL, Tyne & Wear, England
[6] Newcastle Magnet Resonance Ctr, Campus Ageing & Vital, Newcastle Upon Tyne NE4 5PL, Tyne & Wear, England
基金:
英国工程与自然科学研究理事会;
英国惠康基金;
关键词:
Resting state fMRI;
Dual regression;
Sliding window;
Dynamic network analysis;
Neurodegeneration;
Cognitive fluctuations;
RESTING-STATE NETWORKS;
MILD COGNITIVE IMPAIRMENT;
PARKINSONS-DISEASE;
HUMAN BRAIN;
FMRI;
DIAGNOSIS;
ASSOCIATION;
SCALE;
D O I:
10.1016/j.nicl.2019.101812
中图分类号:
R445 [影像诊断学];
学科分类号:
100207 ;
摘要:
We studied the dynamic functional connectivity profile of dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) compared to controls, how it differs between the two dementia subtypes, and a possible relation between dynamic connectivity alterations and temporally transient clinical symptoms in DLB. Resting state fMRI data from 31 DLB, 29 AD, and 31 healthy control participants were analyzed using dual regression to determine between-network functional connectivity. Subsequently, we used a sliding window approach followed by k-means clustering and dynamic network analyses to study dynamic functional connectivity. Dynamic connectivity measures that showed significant group differences were tested for correlations with clinical symptom severity. Our results show that AD and DLB patients spent more time than controls in sparse connectivity configurations with absence of strong positive and negative connections and a relative isolation of motor networks from other networks. Additionally, DLB patients spent less time in a more strongly connected state and the variability of global brain network efficiency was reduced in DLB compared to controls. There were no significant correlations between dynamic connectivity measures and clinical symptom severity. An inability to switch out of states of low inter-network connectivity into more highly and specifically connected network configurations might be related to the presence of dementia in general as it was observed in both AD and DLB. In contrast, the loss of global efficiency variability in DLB might indicate the presence of an abnormally rigid brain network and the lack of economical dynamics, factors which could contribute to cognitive slowing and an inability to respond appropriately to situational demands.
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