Literature DB >> 9749569

The early diagnosis of Parkinson's disease.

D J Brooks1.   

Abstract

Current accepted clinical criteria for the diagnosis of Parkinson's disease (PD) provide high sensitivity for detecting parkinsonism but generally show poor specificity for identifying brainstem Lewy body disease. Biochemical markers that can be used to reliably diagnose clinical and preclinical PD have thus far been sought unsuccessfully. It is now known that some PD kindreds have a mutation of the alpha-synuclein gene, but this cannot be used as a genetic marker for most familial and sporadic cases. Functional imaging provides a means of discriminating typical from atypical PD, revealing characteristic patterns of loss of dopaminergic function. In addition, PET and SPECT show preserved levels of striatal metabolism and dopamine receptor binding in PD, whereas levels are reduced in the atypical variants. [18F]Dopa PET can also detect preclinical PD. In one series there was a reported 40% prevalence of preclinical dopaminergic dysfunction in asymptomatic adult relatives of familial PD patients. Finally, PET and SPECT can both be used to follow PD progression objectively. Such studies suggest an annual 4 to 12% loss of dopamine terminal function in early PD and a preclinical disease window of only a few years. In the future, functional imaging is likely to play an increasingly important role in assessing the efficacy of putative neuroprotective agents.

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Year:  1998        PMID: 9749569     DOI: 10.1002/ana.410440704

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  29 in total

1.  [(123)I]beta-CIT SPECT is a useful method for monitoring dopaminergic degeneration in early stage Parkinson's disease.

Authors:  A Winogrodzka; P Bergmans; J Booij; E A van Royen; J C Stoof; E C Wolters
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-03       Impact factor: 10.154

2.  Macrophage-mediated GDNF delivery protects against dopaminergic neurodegeneration: a therapeutic strategy for Parkinson's disease.

Authors:  Kc Biju; Qing Zhou; Guiming Li; Syed Z Imam; James L Roberts; William W Morgan; Robert A Clark; Senlin Li
Journal:  Mol Ther       Date:  2010-06-08       Impact factor: 11.454

3.  Dopamine-dependent motor learning: insight into levodopa's long-duration response.

Authors:  Jeff A Beeler; Zhen Fang Huang Cao; Mazen A Kheirbek; Yunmin Ding; Jessica Koranda; Mari Murakami; Un Jung Kang; Xiaoxi Zhuang
Journal:  Ann Neurol       Date:  2010-05       Impact factor: 10.422

Review 4.  Preservation of function in Parkinson's disease: what's learning got to do with it?

Authors:  Jeff A Beeler
Journal:  Brain Res       Date:  2011-09-29       Impact factor: 3.252

Review 5.  Brain SPECT imaging in multiple system atrophy.

Authors:  R Cilia; G Marotta; R Benti; G Pezzoli; A Antonini
Journal:  J Neural Transm (Vienna)       Date:  2005-12       Impact factor: 3.575

6.  Growth hormone response in low-dose apomorphine test correlates with nigrostriatal dopamine transporter binding in patients with Parkinson's disease.

Authors:  S Happe; T Tings; W Koch; J Welsch; K Helmschmied; P C Baier; J Meller; W Wuttke; W Paulus; K Tatsch; C Trenkwalder
Journal:  J Neural Transm (Vienna)       Date:  2006-12-28       Impact factor: 3.575

7.  Comparison of LEP and QST and their contribution to standard sensory diagnostic assessment of spinal lesions: a pilot study.

Authors:  Christian Geber; Ulf Baumgärtner; Marcel Fechir; Thomas Vogt; Frank Birklein; Rolf-Detlef Treede
Journal:  Neurol Sci       Date:  2011-02-04       Impact factor: 3.307

8.  Clinical trials of disease-modifying therapies for neurodegenerative diseases: the challenges and the future.

Authors:  Anthony E Lang
Journal:  Nat Med       Date:  2010-09-21       Impact factor: 53.440

9.  [18F]FDOPA positron emission tomography in manganese-exposed workers.

Authors:  Susan R Criswell; Susan Searles Nielsen; Mark Warden; Joel S Perlmutter; Stephen M Moerlein; Hubert P Flores; John Huang; Lianne Sheppard; Noah Seixas; Harvey Checkoway; Brad A Racette
Journal:  Neurotoxicology       Date:  2017-07-08       Impact factor: 4.294

10.  A deep learning approach for prediction of Parkinson's disease progression.

Authors:  Afzal Hussain Shahid; Maheshwari Prasad Singh
Journal:  Biomed Eng Lett       Date:  2020-04-16
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