Diffusion basis spectrum imaging detects pathological alterations in substantia nigra and white matter tracts with early-stage Parkinson’s disease

Hu, Zexuan; Sun, Peng; George, Ajit; Zeng, Xiangling; Li, Mengyan; Lin, Tsen-Hsuan; Ye, Zezhong; Wei, Xinhua; Jiang, Xinqing; Song, Sheng‐Kwei; Yang, Ruimeng

doi:10.1007/s00330-023-09780-0

Cited by 4 publications

(1 citation statement)

References 42 publications

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“…Longitudinal DTI studies showed progression of WM degeneration, that way targeting a propagation-based biomarker in NDD (e.g., Gregory et al, 2015 – HD; Basaia et al, 2019 – MND; Kalra et al, 2020 – ALS; Torso et al, 2022 – AD; Hu Z. et al, 2023 – PD) and demonstrated the utility of DTI to monitor disease progression in NDD in a mono-or multicenter setting.…”

Section: Introductionmentioning

confidence: 96%

Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing

Müller,

Kassubek

2024

Front. Hum. Neurosci.

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Neuroimaging biomarkers have shown high potential to map the disease processes in the application to neurodegenerative diseases (NDD), e.g., diffusion tensor imaging (DTI). For DTI, the implementation of a standardized scanning and analysis cascade in clinical trials has potential to be further optimized. Over the last few years, various approaches to improve DTI applications to NDD have been developed. The core issue of this review was to address considerations and limitations of DTI in NDD: we discuss suggestions for improvements of DTI applications to NDD. Based on this technical approach, a set of recommendations was proposed for a standardized DTI scan protocol and an analysis cascade of DTI data pre-and postprocessing and statistical analysis. In summary, considering advantages and limitations of the DTI in NDD we suggest improvements for a standardized framework for a DTI-based protocol to be applied to future imaging studies in NDD, towards the goal to proceed to establish DTI as a biomarker in clinical trials in neurodegeneration.

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Section: Introductionmentioning

confidence: 96%

Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing

Müller,

Kassubek

2024

Front. Hum. Neurosci.

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Considering the role of estradiol in the psychoneuroimmunology of perimenopausal depression

Bondy

2024

Brain, Behavior, & Immunity - Health

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Cortical-cerebellar circuits changes in preschool ASD children by multimodal MRI

Yi,

Ji,

Wei

et al. 2024

Cerebral Cortex

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Objective To investigate the alterations in cortical-cerebellar circuits and assess their diagnostic potential in preschool children with autism spectrum disorder using multimodal magnetic resonance imaging. Methods We utilized diffusion basis spectrum imaging approaches, namely DBSI_20 and DBSI_combine, alongside 3D structural imaging to examine 31 autism spectrum disorder diagnosed patients and 30 healthy controls. The participants’ brains were segmented into 120 anatomical regions for this analysis, and a multimodal strategy was adopted to assess the brain networks using a multi-kernel support vector machine for classification. Results The results revealed consensus connections in the cortical-cerebellar and subcortical-cerebellar circuits, notably in the thalamus and basal ganglia. These connections were predominantly positive in the frontoparietal and subcortical pathways, whereas negative consensus connections were mainly observed in frontotemporal and subcortical pathways. Among the models tested, DBSI_20 showed the highest accuracy rate of 86.88%. In addition, further analysis indicated that combining the 3 models resulted in the most effective performance. Conclusion The connectivity network analysis of the multimodal brain data identified significant abnormalities in the cortical-cerebellar circuits in autism spectrum disorder patients. The DBSI_20 model not only provided the highest accuracy but also demonstrated efficiency, suggesting its potential for clinical application in autism spectrum disorder diagnosis.

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Diffusion basis spectrum imaging detects pathological alterations in substantia nigra and white matter tracts with early-stage Parkinson’s disease

Cited by 4 publications

References 42 publications

Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing

Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing

Considering the role of estradiol in the psychoneuroimmunology of perimenopausal depression

Cortical-cerebellar circuits changes in preschool ASD children by multimodal MRI

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