Surface-Based Functional Alterations in Early-Onset and Late-Onset Parkinson's Disease: A Multi-Modal MRI Study.

Min Wang, Changlian Tan, Qin Shen, Sainan Cai, Qinru Liu, Haiyan Liao

Abstract read

In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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1 citing paper in PubMed.

Enhancing early Parkinson's disease detection through multimodal deep learning and explainable AI: insights from the PPMI database.Scientific reports · 2024
Article

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5 · Who and what money

Authors and funding

6 authors.

Min WangDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410017, China.

Changlian TanDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410017, China.

Qin ShenDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410017, China.

Sainan CaiDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410017, China.

Qinru LiuDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410017, China.

Haiyan LiaoDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410017, China.

Funding

Chinese National Science and Technology Pillar Program No.2022YFC2009900Chinese National Science and Technology Pillar Program No.2022YFC2009904the Natural Science Foundation of Changsha City No. kq2202416the Natural Science Foundation of Hunan Province Nos. 2022JJ30818 and 2021JJ40860the Science and Technology Innovation Program of Hunan Province 2021SK53502

6 · The paper itself

Abstract

This study used a surface-based method to investigate brain functional alteration patterns in early-onset Parkinson's disease (EOPD) and late-onset Parkinson's disease (LOPD) to provide more reliable imaging indicators for the assessment of the two subtypes. A total of 58 patients with Parkinson's disease were divided into two groups according to age at onset: EOPD (≤50 years; 16 males and 15 females) and LOPD (>50 years; 17 males and 10 females) groups. Two control groups were recruited from the community: young adults (YC; ≤50 years; 8 males and 19 females) and older adults (OC; >50 years; 12 males and 10 females). No significant differences were observed between the EOPD and YC groups or the LOPD and OC groups in terms of age, sex, education, and MMSE scores (

Indexed as

dorsal visual areadorsolateral prefrontal lobeearly-onset Parkinson’s disease (EOPD)imaging biomarkerslate-onset Parkinson’s disease (LOPD)magnetic resonance imaging (MRI)multi-modalpremotor areasomatosensory and motor areasurface-based ReHo

Identifiers

PMID37761336

DOI10.3390/diagnostics13182969

PMCPMC10528821

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