The distinct disrupted plasticity in structural and functional network in mild stroke with basal ganglia region infarcts

Hua, Zhu; Zuo, Lijun; Zhu, Wanlin; Jing, Jing; Zhang, Zhe; Ding, Lingling; Wang, Fengjuan; Cheng, Jun; Wu, Zhenzhou; Wang, Yongjun; Liu, Tao; Li, Zixiao

doi:10.1007/s11682-022-00689-8

Cited by 9 publications

(5 citation statements)

References 68 publications

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“…These patients were all from Zhejiang Province. Inclusion criteria: (1) AIS patients with unilateral infarction of basal ganglia region (basal ganglia, internal capsule, and/or thalamus) [23,24] confirmed with magnetic resonance imaging (MRI), (2) admitted within 72 h of stroke onset, and (3) aged 40 to 90 years. AIS was diagnosed by neurologists according to the criteria illustrated by American Heart Association/American Stroke Association combined with brain computed tomography and MRI [25].…”

Section: Patients Enrollmentmentioning

confidence: 99%

Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region

Shi,

Zhao,

Chen

et al. 2023

Microorganisms

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Previous studies have implied the potential impact of gut microbiota on acute ischemic stroke (AIS), but the relationships of gut microbiota with basal ganglia region infarction (BGRI) and the predictive power of gut microbiota in BGRI prognosis is unclear. The aim of this study was to ascertain characteristic taxa of BGRI patients with different functional outcomes and identify their predictive value. Fecal samples of 65 BGRI patients were collected at admission and analyzed with 16s rRNA gene sequencing. Three-month functional outcomes of BGRI were evaluated using modified Rankin Scale (mRS), and patients with mRS score of 0–1 were assigned to good-BGRI group while others were assigned to poor-BGRI group. We further identified characteristic microbiota using linear discriminant analysis effect size, and receiver operating characteristic (ROC) curve was used to determine the predictive value of differential bacteria. According to the mRS score assessed after 3 months of stroke onset, 22 patients were assigned to poor-BGRI group, while 43 patients were assigned to good-BGRI group. Short chain fatty acids-producing bacteria, Romboutsia and Fusicatenibacter, were characteristic microbiota of the good-BGRI group, while pro-inflammatory taxa, Acetanaerobacterium, were characteristic microbiota of the poor-BGRI group. Furthermore, the differential bacteria showed extensive associations with clinical indices. ROC curves, separately plotted based on Romboutsia and Fusicatenibacter, achieved area under the curve values of 0.7193 and 0.6839, respectively. This study identified the efficient discriminative power of characteristic microbiota in BGRI patients with different outcomes and provided novel insights into the associations of gut microbiota with related risk factors.

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Section: Patients Enrollmentmentioning

confidence: 99%

Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region

Shi,

Zhao,

Chen

et al. 2023

Microorganisms

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“…

structure may occur early before the initial onset of conventional neuroimaging features.Ed Bullmore et al highlighted the growing relevance of graph theory analysis approaches in understanding the physics of brain connectome (Bullmore & Sporns, 2009). In particular, structural connectivity exhibits greater sensitivity than functional connectivity when assessing nodal and global network parameters (Zhu et al, 2022), and it is also considered as a predictor of functional connectivity (Bullmore & Sporns, 2009).Advances in diffusion tensor imaging (DTI) have enabled the examination of microstructural changes in white matter, preceding the occurrence of visible lesions on conventional magnetic resonance imaging (MRI) in patients with CSVD. Specifically, fractional anisotropy (FA) is the most widely used diffusion parameter.

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mentioning

confidence: 99%

“…Ed Bullmore et al highlighted the growing relevance of graph theory analysis approaches in understanding the physics of brain connectome (Bullmore & Sporns, 2009). In particular, structural connectivity exhibits greater sensitivity than functional connectivity when assessing nodal and global network parameters (Zhu et al, 2022), and it is also considered as a predictor of functional connectivity (Bullmore & Sporns, 2009).…”

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confidence: 99%

Structural network disruption of corticothalamic pathways in cerebral small vessel disease

Jia,

Li,

Jia

et al. 2024

Brain Imaging and Behavior

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Generalized fractional anisotropy (GFA) can eliminate the crossing fiber effect, which may be more reflective of brain tissue changes in patients with cerebral small vessel disease (CSVD). This study aimed to explore the alterations of structural networks based on GFA and its relationship with cognitive performance in CSVD patients. We recruited 50 CSVD patients which were divided into two groups: cognitive impairment (CSVD-CI) and normal cognition (CSVD-NC), and 22 healthy controls (HCs). All participants underwent the Montreal Cognitive Assessment (MoCA) and MRI examinations. The structural topological properties were compared among the three groups. The correlation between these structural alterations and MoCA was analyzed. Compared with HCs, significantly decreased nodal efficiency and connectivity were detected in the corticothalamic pathways in both patient groups, of which some were significantly decreased in CSVD-CIs compared with CSVD-NCs. Moreover, both patient groups exhibited global network disruption including decreased global efficiency and increased characteristic path length compared with HCs. Furthermore, the nodal efficiency in the right pallidum positively correlated with MoCA in CSVD-NCs controlling for nuisance variables (r = 0.471, p = 0.031). The alterations in corticothalamic pathways indicated that the brain structural network underwent extensive disruption, providing evidence for the consideration of CSVD as a global brain disease.

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“…Post‐stroke depression is correlated with involvement of the frontal lobe as well as the central basal ganglia [7]. After a minor stroke, alterations in structural and functional connectivity are observed, particularly in the frontoparietal and cingulo‐opercular networks if the basal ganglia are affected [8]. The basis for these impairments could thus be a disruption or dysfunction of cortico‐subcortical connections involving the basal ganglia, which does not require extensive lesions.…”

mentioning

confidence: 99%

Basal ganglia matter

Viader

2023

Euro J of Neurology

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The distinct disrupted plasticity in structural and functional network in mild stroke with basal ganglia region infarcts

Cited by 9 publications

References 68 publications

Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region

Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region

Structural network disruption of corticothalamic pathways in cerebral small vessel disease

Basal ganglia matter

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