Altered static and dynamic functional network connectivity in post-stroke cognitive impairment

Yue, Xipeng; Li, Ziqiang; Liu, Ying; Gao, Jiahuan; Han, Ho Jae; Zhang, Ge; Li, Xiaochen; Shen, Yu; Wei, Wei; Bai, Yan; Xie, Jiapei; Zhi, Lin; Zhang, Xianchang; Wang, Meiyun

doi:10.1016/j.neulet.2023.137097

Cited by 15 publications

(16 citation statements)

References 33 publications

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“…We have identified 3 states of dynamic functional connectivity, which were in line with states described in previous literature, 15 -18,43,44 supporting the validity of the findings. Similar to Bonkhoff et al 15 investigating motor function, we found differences in state preference between stroke patients, who spent most time in the highly intra-domain connected state (= state 1), and HC, who preferred state 3 (weakly connected state).…”

Section: Discussionsupporting

confidence: 90%

“…Additionally, better recovery of motor function was found to be associated with shorter times spent in a functionally integrated state (cfr our state 1). 26 Similarly, in cognitive stroke patients, longer mean dwell times for state 1 are reported by Yue et al 44 In contrast, Wang et al 17 described the opposite. However, differences in stroke patient characteristics are apparent.…”

Section: Discussionmentioning

confidence: 90%

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Altered Dynamic Resting State Functional Connectivity Associated With Somatosensory Impairments in the Upper Limb in the Early Sub-Acute Phase Post-Stroke

Bruyn

Bonkhoff

Saenen

et al. 2023

Neurorehabil Neural Repair

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Background. Altered dynamic functional connectivity has been associated with motor impairments in the acute phase post-stroke. Its association with somatosensory impairments in the early sub-acute phase remains unexplored. Objective. To investigate altered dynamic functional connectivity associated with somatosensory impairments in the early sub-acute phase post-stroke. Methods. We collected resting state magnetic resonance imaging and clinical somatosensory function of the upper limb of 20 subacute stroke patients and 16 healthy controls (HC). A sliding-window approach was used to identify 3 connectivity states based on the estimated dynamic functional connectivity of sensorimotor related networks. Network components were subdivided into 3 domains: cortical and subcortical sensorimotor, as well as cognitive control network. Between-group differences were investigated using independent t-tests and Mann–Whitney- U tests. Analyzes were performed with correction for age, head motion and time post-stroke and corrected for multiple comparisons. Results. Stroke patients spent significantly less time in a weakly connected network state (state 3; dwell time: pstate3 = 0.003, meanstroke = 53.02, SDstroke = 53.13; meanHC = 118.92, SDHC = 72.84), and stayed shorter but more time intervals in a highly connected intra-domain network state (state 1; fraction time: pstate 1 < 0.001, meanstroke = 0.46, SDstroke = 0.26; meanHC = 0.26, SDHC = 0.21) compared to HC. After 8 weeks of therapy, improvements in wrist proprioception were moderately associated with decreases in dwell and fraction times toward a more normalized pattern. Conclusion. Changes in temporal properties of large-scale network interactions are present in the early rehabilitation phase post-stroke and could indicate enhanced neural plasticity. These findings could augment the understanding of cerebral reorganization after loss of neural tissue specialized in somatosensory functions.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 90%

Altered Dynamic Resting State Functional Connectivity Associated With Somatosensory Impairments in the Upper Limb in the Early Sub-Acute Phase Post-Stroke

Bruyn

Bonkhoff

Saenen

et al. 2023

Neurorehabil Neural Repair

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“…To adjust the effects of head motions on functional images, we excluded participants with frame‐wise displacement (FD) of head motions >0.5 mm and head rotation >2° 18–21 . According to this criteria, nine participants were excluded from functional network analysis due to the head motions.…”

Section: Methodsmentioning

confidence: 99%

“…To correct the head motion and To adjust the effects of head motions on functional images, we excluded participants with frame-wise displacement (FD) of head motions >0.5 mm and head rotation >2°. [18][19][20][21] According to this criteria, nine participants were excluded from functional network analysis due to the head motions. In addition, we also regressed out the head motion parameters to adjust the effects of head motions on functional image.…”

Section: Diffusion Tensor Imaging Preprocessingmentioning

confidence: 99%

Age and sex differentially shape brain networks in Parkinson's disease

Chen

et al. 2023

CNS Neurosci Ther

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Aims Age and sex are important individual factors modifying the clinical symptoms of patients with Parkinson's disease (PD). Our goal is to evaluate the effects of age and sex on brain networks and clinical manifestations of PD patients. Methods Parkinson's disease participants (n = 198) receiving functional magnetic resonance imaging from Parkinson's Progression Markers Initiative database were investigated. Participants were classified into lower quartile group (age rank: 0%~25%), interquartile group (age rank: 26%~75%), and upper quartile group (age rank: 76%~100%) according to their age quartiles to examine how age shapes brain network topology. The differences of brain network topological properties between male and female participants were also investigated. Results Parkinson's disease patients in the upper quartile age group exhibited disrupted network topology of white matter networks and impaired integrity of white matter fibers compared to lower quartile age group. In contrast, sex preferentially shaped the small‐world topology of gray matter covariance network. Differential network metrics mediated the effects of age and sex on cognitive function of PD patients. Conclusion Age and sex have diverse effects on brain structural networks and cognitive function of PD patients, highlighting their roles in the clinical management of PD.

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“…As demonstrated by our recent studies, the preprocessing steps included standard procedures for correcting slice-timing, normalizing spatially using a standard EPI template, smoothing spatially (4-mm Gaussian kernel), eliminating nuisance signals (head motion profiles, CSF signal, white matter signals, and local and global hardware artifacts), and filtering temporally within the frequency range of 0.01–0.1 Hz. Based on previous investigations, we excluded 8 participants who had head motion frame-wise displacement (FD) greater than 0.5 mm and head rotation exceeding 2° due to head movements 44–47 . According to our recent study, the demographic and clinical characteristics were not significantly different between PD patients with DTI images and PD patients with preprocessed resting-state images (n = 74).…”

Section: Methodsmentioning

confidence: 99%

Striatal dopamine depletion drives disease progression and network topology aberrations specifically by impairing left M1 network

Chen,

Li,

Zhou

et al. 2023

Preprint

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Background Stratal dopamine depletion contributes to both motor and non-motor symptoms of patients with Parkinson's disease (PD). The objective of current study is to explore whether stratal dopamine depletion shapes clinical heterogeneity by impairing brain networks of PD patients. Methods In this cross-sectional study, PD participants undergoing functional magnetic resonance imaging from Parkinson's Progression Markers Initiative (PPMI) database were investigated. According to the levels of striatal binding ratio (SBR) in bilateral striatum, PD patients were classified into lower quartile group (SBR level rank: 0%~25%), interquartile group (SBR level rank: 26%~75%), and upper quartile group (SBR level rank: 76%~100%) based on their SBR level quartiles to examine how stratal dopamine depletion affects clinical manifestations and brain networks. Findings PD patients in the lower quartile group showed more severe motor and non-motor symptoms compared to upper quartile group. Additionally, topological metrics in both structural and functional network were significantly different between upper quartile group and lower quartile group. Furthermore, the functional network of left primary motor cortex (M1) was specifically impaired in lower quartile group, which resulted in topological disruptions in functional network. Importantly, impaired left M1 network in PD patients mediated the effects of striatal dopamine depletion on both motor and non-motor symptoms. Interpretation Striatal dopamine depletion specifically impaired left M1 network, which contributed to aberrant functional network topology and dopamine-dependent motor and non-motor symptoms. Funding National Natural Science Foundation of China (Grant No. 81873778, 82071415) and National Research Center for Translational Medicine at Shanghai (Grant No. NRCTM(SH)-2021-03).

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Altered static and dynamic functional network connectivity in post-stroke cognitive impairment

Cited by 15 publications

References 33 publications

Altered Dynamic Resting State Functional Connectivity Associated With Somatosensory Impairments in the Upper Limb in the Early Sub-Acute Phase Post-Stroke

Altered Dynamic Resting State Functional Connectivity Associated With Somatosensory Impairments in the Upper Limb in the Early Sub-Acute Phase Post-Stroke

Age and sex differentially shape brain networks in Parkinson's disease

Striatal dopamine depletion drives disease progression and network topology aberrations specifically by impairing left M1 network

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