Altered microstructural properties of superficial white matter in patients with Parkinson’s disease

Zhang, Yichen; Huang, Biao; Chen, Qinyuan; Wang, Limin; Zhang, Lu; Nie, Kun; Huang, Qinda; Huang, Ruiwang

doi:10.1007/s11682-021-00522-8

Cited by 7 publications

(3 citation statements)

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“…Veale et al (2021) estimated FA, MD, ODI, neurite density index (NDI), and tissue fraction metrics in the SWM region using diffusion tensor imaging (DTI) and neurite orientation distribution and density imaging (NODDI), and found that AD patients had microstructural changes in SWM regions, with lower NDI and higher ODI in some regions. Similarly, studies of Parkinson's disease (Zhang et al 2022), Huntington's disease (Phillips et al 2016), and mild traumatic brain injury (Stojanovski et al 2019) found abnormal DTI metrics in patients' SWM regions. In addition, Kirilina et al (2020) used an ultra-high resolution 7T MRI machine to image postmortem brain tissue and constructed a corresponding biophysical model to quantitatively correlate iron-induced MR contrast with microscopic iron distribution at the cellular level.…”

Section: Introductionmentioning

confidence: 90%

“…In contrast to the deep white matter (DWM), the SWM contains a large number of short fibers (also known as U-fibers), which are the last structures to be myelinated in the human brain (Guevara et al 2020). The SWM is susceptible to neurodegenerative processes due to its high plasticity and vulnerability (Zhang et al 2022). Alterations in the structural integrity of the SWM have been found in childhood concussion (Stojanovski et al 2022), autism (Hong et al 2019), Alzheimer's disease (Bigham et al 2022), schizophrenia (Ji et al 2018), Huntington's disease (Phillips et al 2016), and multiple sclerosis (Buyukturkoglu et al 2022), among others, indicating that the SWM plays an important role in brain development, maturation, and aging.…”

Section: Introductionmentioning

confidence: 99%

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Superficial white matter microstructural imaging method based on time-space fractional-order diffusion

He,

Wang

2024

Phys. Med. Biol.

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Objective. Microstructure imaging based on diffusion magnetic resonance signal is an advanced imaging technique that enables in vivo mapping of the brain’s microstructure. Superficial white matter (SWM) plays an important role in brain development, maturation, and aging, while fewer microstructure imaging methods address the superficial white matter due to its complexity. Therefore, this study aims to develop a diffusion propagation model to investigate the microstructural characteristics of the SWM region. Approach. In this paper, we hypothesize that the effect of cell membrane permeability and the water exchange between soma and dendrites cannot be neglected for typical clinical diffusion times (20ms<t<80ms). We then use SpinDoctor to simulate the diffusion magnetic resonance signals of real neurons and propose a time-space fractional-order diffusion model for SWM microstructure imaging. We evaluate the validity regime of our model using numerical simulations and compare the model parameters with several state-of-the-art methods. Main results. By analyzing the simulation signals of real neuronal cells as well as diffusion magnetic resonance data from the brains of fourteen healthy human subjects, we find that the time-space fractional-order diffusion model can be used to capture the structural complexity of the tissue, indirectly through the association of time fractional exponents with restricted diffusion and space fractional exponents with perfusion and membrane permeability. Significance. The results show that the diffusion propagation model can provide new insights into the tissue architecture of the superficial white matter.

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Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Superficial white matter microstructural imaging method based on time-space fractional-order diffusion

He,

Wang

2024

Phys. Med. Biol.

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“…Regarding memory and cognition, PD patients with mild cognitive impairment (MCI) had an increased functional connectivity between the posterior cingulate and the thalamus when compared to demented PD patients [ 164 ] and fractional anisotropy of PCC bundles correlated positively with cognition [ 165 ]. The role of the PCC in cognition and memory was further stressed in functional [ 108 , 164 , 166 , 167 , 168 ] and structural [ 169 ] MRI studies.…”

Section: Regions Of the Limbic Systemmentioning

confidence: 99%

Imaging the Limbic System in Parkinson’s Disease—A Review of Limbic Pathology and Clinical Symptoms

et al. 2022

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The limbic system describes a complex of brain structures central for memory, learning, as well as goal directed and emotional behavior. In addition to pathological studies, recent findings using in vivo structural and functional imaging of the brain pinpoint the vulnerability of limbic structures to neurodegeneration in Parkinson’s disease (PD) throughout the disease course. Accordingly, dysfunction of the limbic system is critically related to the symptom complex which characterizes PD, including neuropsychiatric, vegetative, and motor symptoms, and their heterogeneity in patients with PD. The aim of this systematic review was to put the spotlight on neuroimaging of the limbic system in PD and to give an overview of the most important structures affected by the disease, their function, disease related alterations, and corresponding clinical manifestations. PubMed was searched in order to identify the most recent studies that investigate the limbic system in PD with the help of neuroimaging methods. First, PD related neuropathological changes and corresponding clinical symptoms of each limbic system region are reviewed, and, finally, a network integration of the limbic system within the complex of PD pathology is discussed.

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Neurovascular coupling dysfunction of visual network organization in Parkinson's disease

Li,

Liu,

Zhang

et al. 2023

Neurobiology of Disease

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Altered microstructural properties of superficial white matter in patients with Parkinson’s disease

Cited by 7 publications

References 100 publications

Superficial white matter microstructural imaging method based on time-space fractional-order diffusion

Superficial white matter microstructural imaging method based on time-space fractional-order diffusion

Imaging the Limbic System in Parkinson’s Disease—A Review of Limbic Pathology and Clinical Symptoms

Neurovascular coupling dysfunction of visual network organization in Parkinson's disease

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