Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment

Bergamino, Maurizio; Schiavi, Simona; Daducci, Alessandro; Walsh, Ryan R.; Stokes, Ashley M.

doi:10.3389/fnagi.2022.793991

Cited by 11 publications

(5 citation statements)

References 63 publications

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“…Extracellular amyloid protein deposition and intracellular neurofibrillary tangles are classic pathological hallmarks of Alzheimer’s disease ( Bergamino et al, 2022 ). An imbalance between the generation and degradation of Aβ protein leads to amyloid accumulation ( Cai et al, 2023 ).…”

Section: Pharmacological Effects Of Saponin Compoundsmentioning

confidence: 99%

Saponin components in Polygala tenuifolia as potential candidate drugs for treating dementia

Li,

Hou,

et al. 2024

Front. Pharmacol.

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ObjectiveThis study aims to elucidate the intervention effects of saponin components from Polygala tenuifolia Willd (Polygalaceae) on dementia, providing experimental evidence and new insights for the research and application of saponins in the field of dementia.Materials and MethodsThis review is based on a search of the PubMed, NCBI, and Google Scholar databases from their inception to 13 May 2024, using terms such as “P. tenuifolia,” “P. tenuifolia and saponins,” “toxicity,” “dementia,” “Alzheimer’s disease,” “Parkinson’s disease dementia,” and “vascular dementia.” The article summarizes the saponin components of P. tenuifolia, including tenuigenin, tenuifolin, polygalasaponins XXXII, and onjisaponin B, as well as the pathophysiological mechanisms of dementia. Importantly, it highlights the potential mechanisms by which the active components of P. tenuifolia prevent and treat diseases and relevant clinical studies.ResultsThe saponin components of P. tenuifolia can reduce β-amyloid accumulation, exhibit antioxidant effects, regulate neurotransmitters, improve synaptic function, possess anti-inflammatory properties, inhibit neuronal apoptosis, and modulate autophagy. Therefore, P. tenuifolia may play a role in the prevention and treatment of dementia.ConclusionThe saponin components of P. tenuifolia have shown certain therapeutic effects on dementia. They can prevent and treat dementia through various mechanisms.

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Section: Pharmacological Effects Of Saponin Compoundsmentioning

confidence: 99%

Saponin components in Polygala tenuifolia as potential candidate drugs for treating dementia

Li,

Hou,

et al. 2024

Front. Pharmacol.

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“…Combining dMRI and tractography enables the assessment of brain structural connectivity, which represents the WM tracts that physically interconnect brain regions in vivo ( 14 ). Additionally, tractography, in combination with graph theory, can been used to reconstruct and analyze the structural whole-brain connectivity in PD ( 10 , 15 ), as well as other neurodegenerative disorders ( 16 , 17 ). These studies in PD have revealed the existence of novel PD-specific anatomic networks, characterized by alterations in cortical–subcortical loops, reduced modular organization, and compensatory changes ( 15 , 18 ).…”

Section: Introductionmentioning

confidence: 99%

Structural connectivity and brain network analyses in Parkinson's disease: A cross-sectional and longitudinal study

et al. 2023

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IntroductionParkinson's disease (PD) is an idiopathic disease of the central nervous system characterized by both motor and non-motor symptoms. It is the second most common neurodegenerative disease. Magnetic resonance imaging (MRI) can reveal underlying brain changes associated with PD.ObjectiveIn this study, structural connectivity and white matter networks were analyzed by diffusion MRI and graph theory in a cohort of patients with PD and a cohort of healthy controls (HC) obtained from the Parkinson's Progression Markers Initiative (PPMI) database in a cross-sectional analysis. Furthermore, we investigated longitudinal changes in the PD cohort over 36 months.ResultCompared with the control group, participants with PD showed lower structural connectivity in several brain areas, including the corpus callosum, fornix, and uncinate fasciculus, which were also confirmed by a large effect-size. Additionally, altered connectivity between baseline and after 36 months was found in different network paths inside the white matter with a medium effect-size. Network analysis showed trends toward lower network density in PD compared with HC at baseline and after 36 months, though not significant after correction. Significant differences were observed in nodal degree and strength in several nodes.ConclusionIn conclusion, altered structural and network metrics in several brain regions, such as corpus callosum, fornix, and cingulum were found in PD, compared to HC. We also report altered connectivity in the PD group after 36 months, reflecting the impact of both PD pathology and aging processes. These results indicate that structural and network metrics might yield insight into network reorganization that occurs in PD.

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“…The Convex Optimization Modelling for Microstructure Informed Tractography (COMMIT) (Daducci et al, 2015; Daducci et al, 2013) approach address this problem by deconvolving specific microstructural features on each streamline to recover individual contributions to the measured signal. By replacing the commonly used streamline count with intra-axonal signal fraction (IASF), it offers a quantitative and more biologically informative assessment of brain connectivity (Bergamino et al, 2022; Gabusi et al, 2022; Schiavi et al, 2022; Schiavi, Ocampo-Pineda, et al, 2020; Schiavi, Petracca, et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…By replacing the commonly used streamline count with intra-axonal signal fraction (IASF), it offers a quantitative and more biologically informative assessment of brain connectivity (Bergamino et al, 2022;Gabusi et al, 2022;Schiavi et al, 2022;Schiavi, Ocampo-Pineda, et al, 2020;Schiavi, Petracca, et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Developmental differences in canonical cortical networks: insights from microstructure-informed tractography

Genc,

Schiavi,

Chamberland

et al. 2023

Preprint

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There is a growing interest in incorporating white matter fibre-specific microstructural properties into structural connectomes to obtain a more quantitative assessment of brain connectivity. In a developmental sample aged 8-18 years, we studied age-related patterns of microstructure-informed network properties locally and globally. First, we computed the diffusion-weighted signal fraction associated with each tractography-reconstructed streamline. Then, we generated microstructure-informed connectomes from diffusion MRI data using the convex optimization modelling for microstructure-informed tractography (COMMIT) approach. Finally, we estimated network characteristics in eight functionally defined networks (visual, somatomotor, dorsal attention, ventral attention, limbic, frontoparietal, default mode and subcortical networks). Our findings reveal that throughout child and adolescent development, global efficiency increases in the visual, somatomotor, and default mode networks, and mean strength increases in the somatomotor and visual networks. Nodes belonging to the dorsal and ventral visual pathways demonstrate the largest age-dependence in local efficiency, supporting previous evidence of protracted maturation of dorsal and ventral visual pathways. Our results provide compelling evidence that there is a prolonged development of visual association cortices.

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Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment

Cited by 11 publications

References 63 publications

Saponin components in Polygala tenuifolia as potential candidate drugs for treating dementia

Saponin components in Polygala tenuifolia as potential candidate drugs for treating dementia

Structural connectivity and brain network analyses in Parkinson's disease: A cross-sectional and longitudinal study

Developmental differences in canonical cortical networks: insights from microstructure-informed tractography

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