Literature DB >> 28554409

Imaging in Parkinson's Disease.

Marios Politis1, Gennaro Pagano2, Flavia Niccolini2.   

Abstract

Parkinson's disease (PD) is a chronic neurodegenerative disease characterized by the loss of nigrostriatal dopaminergic neurons and aggregation of misfolded α-synuclein in Lewy bodies. The underlying mechanisms of neurodegeneration in PD are still unknown, and there are no disease-modifying treatments to slow the neurodegenerative processes. There is an urgent need to identify biomarkers that are able to monitor disease progression and assess the development and efficacy of novel disease-modifying drugs. Over the past years, neuroimaging techniques such as magnetic resonance imaging (MRI), single-photon emission computed tomography (SPECT), and positron emission tomography (PET) have provided important advances in our understanding of PD. MRI provides information about structural and functional organization of the brain, while SPECT and PET can detect molecular changes in the brain. Here, we review the current neuroimaging literature in sporadic and genetic PD, which have contributed to our understanding of the physiopathological mechanisms of the disease.
© 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DLB; De novo PD; MRI; PDD; PET; Parkinson's disease; SPECT

Mesh:

Year:  2017        PMID: 28554409     DOI: 10.1016/bs.irn.2017.02.015

Source DB:  PubMed          Journal:  Int Rev Neurobiol        ISSN: 0074-7742            Impact factor:   3.230


  4 in total

Review 1.  PET Imaging in Movement Disorders.

Authors:  Baijayanta Maiti; Joel S Perlmutter
Journal:  Semin Nucl Med       Date:  2018-08-16       Impact factor: 4.446

Review 2.  Dementia spectrum disorders: lessons learnt from decades with PET research.

Authors:  Heather Wilson; Gennaro Pagano; Marios Politis
Journal:  J Neural Transm (Vienna)       Date:  2019-02-14       Impact factor: 3.575

Review 3.  Experimental Models of Cognitive Impairment for Use in Parkinson's Disease Research: The Distance Between Reality and Ideal.

Authors:  Yaohua Fan; Jiajun Han; Lijun Zhao; Chunxiao Wu; Peipei Wu; Zifeng Huang; Xiaoqian Hao; YiChun Ji; Dongfeng Chen; Meiling Zhu
Journal:  Front Aging Neurosci       Date:  2021-11-29       Impact factor: 5.750

Review 4.  Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease.

Authors:  Jing Zhang
Journal:  NPJ Parkinsons Dis       Date:  2022-01-21
  4 in total

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