Abstract

Dementia with Lewy bodies (DLB) is characterized by the transient fluctuating cognition and recurrent visual hallucinations, which may be caused by disorders of the intrinsic brain network dynamics. However, little is known regarding the dynamic features of the brain network behind these symptoms in DLB. In the present study, the intra- and inter-brain network dynamics were explored on a time scale in 17 DLB and 20 healthy controls (HC) applying a sliding-window method followed by k-means clustering analysis. To further evaluate the impact of network dynamics on brain performance, the local and global efficiency of the brain network was calculated. Compared with HC, the dynamic functional connectivity variation matrix in DLB patients was represented by a mixed change of intra-network increase and inter-network decrease. DLB patients devoted more time to a negative connectivity pattern, which represents a state of functional separation. Furthermore, the local efficiency of DLB patients was significantly lower compared with HC. These observations indicate an altered dynamic variability and disorders to the time allocation of state sequences in DLB, which might result in a disturbance of the intricate brain network dynamic properties, thereby leading to a lack of integration and flexibility and an ineffective brain function. In conclusion, dynamic functional connectivity analysis could identify differences between DLB and HC, providing evidences for DLB diagnosis and contributing to the understanding of the widespread clinical features and complex treatment strategies in DLB patients.

Highlights

  • Dementia with Lewy bodies (DLB) is a growing concern worldwide, accounting for up to 15% of dementia cases [1]

  • The features of the dynamic time-varying functional connectivity (FC) in DLB patients were explored in view of a large-scale brain network derived from resting-state functional MRI (rs-fMRI) using the sliding-window method

  • Our exploratory experiments combining sliding-window and clustering methods analyzed the dynamics of functional network connectivity

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Summary

Introduction

Dementia with Lewy bodies (DLB) is a growing concern worldwide, accounting for up to 15% of dementia cases [1] It is characterized by four core clinical features: fluctuating cognition, recurrent visual hallucinations, rapid eye movement sleep behavior disorder, and spontaneous parkinsonism [2]. Peraza et al [9] revealed altered network connectivity accompanied with frontal, parietal, and occipital lobes lower clustering coefficient in DLB patients by the graph theory, quantifying abnormal network characteristics. These findings provide an evidence regarding differences in functional brain network connectivity between DLB individuals and Parkinson’s disease dementia or Alzheimer’s disease, implying that the alterations in brain network organization play a potentially important role in comprehending the etiology of the core symptoms in DLB

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