Literature DB >> 29878908

Neuroimaging advances in Parkinson's disease.

Vittorio Rispoli1,2, Sebastian R Schreglmann1, Kailash P Bhatia1.   

Abstract

PURPOSE OF REVIEW: Neuroimaging in Parkinson's disease is an evolving field, providing in-vivo insights into the structural and biochemical changes of the condition, although its diagnosis remains clinical. Here, we aim to summarize the most relevant recent advances in neuroimaging in Parkinson's disease to assess the underlying disease process, identify a biomarker of disease progression and guide or monitor therapeutic interventions. RECENT
FINDINGS: The clinical applications of imaging technology increasingly allow to quantify pigments (iron, neuromelanin) on MRI, proteins (tau), cell markers (phosphodiesterases, microglia) and neurotransmitter receptors (dopamine, serotonin, noradrenalin, cholin) via PET protocols, activity maps by resting-state and task-dependent functional MRI, as well as microstructural changes (free water) through diffusion-based assessments. Their application provides increasing insight on the temporal and spatial dynamics of dopaminergic and other neurotransmitter systems as well as anatomical structures and circuits in Parkinson's disease. An expanding list of PET tracers increases the yield of functional studies.
SUMMARY: This review summarizes the most recent, relevant advances in neuroimaging technology in Parkinson's disease. In particular, the combination of different imaging techniques seems promising to maximize the scope of future work, which should, among others, aim at identifying the best imaging marker of disease progression.

Entities:  

Mesh:

Year:  2018        PMID: 29878908     DOI: 10.1097/WCO.0000000000000584

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  10 in total

1.  Classification of Parkinson's disease using a region-of-interest- and resting-state functional magnetic resonance imaging-based radiomics approach.

Authors:  Dafa Shi; Xiang Yao; Yanfei Li; Haoran Zhang; Guangsong Wang; Siyuan Wang; Ke Ren
Journal:  Brain Imaging Behav       Date:  2022-06-01       Impact factor: 3.224

2.  Early disturbance of dynamic synchronization and neurovascular coupling in cognitively normal Parkinson's disease.

Authors:  Song'an Shang; Jing Ye; Jingtao Wu; Hongying Zhang; Weiqiang Dou; Vijaya Prakash Krishnan Muthaiah; Youyong Tian; Yingdong Zhang; Yu-Chen Chen; Xindao Yin
Journal:  J Cereb Blood Flow Metab       Date:  2022-04-26       Impact factor: 6.960

3.  Taxonomy Meets Neurology, the Case of Amyotrophic Lateral Sclerosis.

Authors:  Giovanna Morello; Antonio Gianmaria Spampinato; Francesca Luisa Conforti; Sebastiano Cavallaro
Journal:  Front Neurosci       Date:  2018-09-26       Impact factor: 4.677

4.  Age-Related Parkinsonian Signs in Microdeletion 22q11.2.

Authors:  Erik Boot; Thierry Q Mentzel; Lisa D Palmer; Peter N van Harten; Connie Marras; Anthony E Lang; Anne S Bassett
Journal:  Mov Disord       Date:  2020-05-09       Impact factor: 10.338

5.  Identification of an early-stage Parkinson's disease neuromarker using event-related potentials, brain network analytics and machine-learning.

Authors:  Sharon Hassin-Baer; Oren S Cohen; Simon Israeli-Korn; Gilad Yahalom; Sandra Benizri; Daniel Sand; Gil Issachar; Amir B Geva; Revital Shani-Hershkovich; Ziv Peremen
Journal:  PLoS One       Date:  2022-01-07       Impact factor: 3.240

6.  Specific immune status in Parkinson's disease at different ages of onset.

Authors:  Jun Tian; Shao-Bing Dai; Si-Si Jiang; Wen-Yi Yang; Yi-Qun Yan; Zhi-Hao Lin; Jia-Xian Dong; Yi Liu; Ran Zheng; Ying Chen; Bao-Rong Zhang; Jia-Li Pu
Journal:  NPJ Parkinsons Dis       Date:  2022-01-10

Review 7.  Dopamine Transporter Imaging, Current Status of a Potential Biomarker: A Comprehensive Review.

Authors:  Giovanni Palermo; Sara Giannoni; Gabriele Bellini; Gabriele Siciliano; Roberto Ceravolo
Journal:  Int J Mol Sci       Date:  2021-10-18       Impact factor: 5.923

Review 8.  Depression in multiple system atrophy: Views on pathological, clinical and imaging aspects.

Authors:  Qiuyi Lv; Yuxin Pan; Xing Chen; Jingpei Wei; Wei Wang; Hua Zhang; Jifeng Wan; Shiqiang Li; Yan Zhuang; Baolin Yang; Dayong Ma; Dawei Ren; Zijun Zhao
Journal:  Front Psychiatry       Date:  2022-09-08       Impact factor: 5.435

Review 9.  [MRI Findings in Parkinson's Disease: Radiologic Assessment of Nigrostriatal Degeneration].

Authors:  Yun Jung Bae; Jong-Min Kim; Byung Se Choi; Yoo Sung Song; Yoonho Nam; Se Jin Cho; Jae Hyoung Kim; Sang Eun Kim
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2022-05-25

10.  A New Statistical Framework for Corpus Callosum Sub-Region Characterization Based on LBP Texture in Patients With Parkinsonian Disorders: A Pilot Study.

Authors:  Debanjali Bhattacharya; Neelam Sinha; Shweta Prasad; Pramod Kumar Pal; Jitender Saini; Sandhya Mangalore
Journal:  Front Neurosci       Date:  2020-05-28       Impact factor: 4.677

  10 in total

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