Literature DB >> 22166455

Neuroimaging in Parkinson's disease: from pathology to diagnosis.

A Jon Stoessl1.   

Abstract

Imaging allows a window into the pathology of PD during life, and potentially even prior to the appearance of motor manifestations. Functional imaging using dopaminergic tracers with either PET or SPECT can identify dopamine deficiency but may not reliably differentiate between PD and other akinetic-rigid disorders. On the other hand, dopaminergic tracer imaging can identify pre-motor changes in subjects at high risk of developing PD and may be useful as a biomarker to assess disease progression, with caveats. Glucose or cerebral blood flow imaging can provide complementary information on patterns of cerebral activation and thereby be useful for diagnosis and for the assessment of compensatory strategies. Although traditionally considered to be of limited utility for the study of PD and related disorders, novel magnetic resonance imaging techniques are showing increasing promise for diagnosis and potentially as biomarkers. These applications will be reviewed here, as will the potential use of imaging to assess Braak's hypothesis of caudal to rostral degeneration in vivo.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22166455     DOI: 10.1016/S1353-8020(11)70019-0

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  13 in total

1.  Distinct neuroimaging features define Parkinson's disease and welding-related neurotoxicity.

Authors:  Eun-Young Lee; Mechelle M Lewis; Richard B Mailman; Xuemei Huang
Journal:  Neurologist (Hyderabad)       Date:  2017-09-25

2.  Development and screening of contrast agents for in vivo imaging of Parkinson's disease.

Authors:  Krista L Neal; Naomi B Shakerdge; Steven S Hou; William E Klunk; Chester A Mathis; Evgueni E Nesterov; Timothy M Swager; Pamela J McLean; Brian J Bacskai
Journal:  Mol Imaging Biol       Date:  2013-10       Impact factor: 3.488

3.  Metabolic network expression in parkinsonism: Clinical and dopaminergic correlations.

Authors:  Ji Hyun Ko; Chong Sik Lee; David Eidelberg
Journal:  J Cereb Blood Flow Metab       Date:  2016-07-21       Impact factor: 6.200

Review 4.  Manganese-Induced Parkinsonism Is Not Idiopathic Parkinson's Disease: Environmental and Genetic Evidence.

Authors:  Tomás R Guilarte; Kalynda K Gonzales
Journal:  Toxicol Sci       Date:  2015-08       Impact factor: 4.849

5.  Brain Motor Network Changes in Parkinson's Disease: Evidence from Meta-Analytic Modeling.

Authors:  Damian M Herz; David Meder; Julia A Camilleri; Simon B Eickhoff; Hartwig R Siebner
Journal:  Mov Disord       Date:  2021-01-11       Impact factor: 10.338

6.  Synuclein-One study: skin biopsy detection of phosphorylated α-synuclein for diagnosis of synucleinopathies.

Authors:  Christopher H Gibbons; Roy Freeman; Bailey Bellaire; Charles H Adler; Dan Moore; Todd Levine
Journal:  Biomark Med       Date:  2022-03-11       Impact factor: 2.498

7.  Widespread temporo-occipital lobe dysfunction in amyotrophic lateral sclerosis.

Authors:  Kristian Loewe; Judith Machts; Jörn Kaufmann; Susanne Petri; Hans-Jochen Heinze; Christian Borgelt; Joseph Allen Harris; Stefan Vielhaber; Mircea Ariel Schoenfeld
Journal:  Sci Rep       Date:  2017-01-09       Impact factor: 4.379

Review 8.  The underlying mechanism of prodromal PD: insights from the parasympathetic nervous system and the olfactory system.

Authors:  Shu-Ying Liu; Piu Chan; A Jon Stoessl
Journal:  Transl Neurodegener       Date:  2017-02-20       Impact factor: 8.014

9.  Effects of acute levodopa challenge on resting cerebral blood flow in Parkinson's Disease patients assessed using pseudo-continuous arterial spin labeling.

Authors:  Yufen Chen; Peter Pressman; Tanya Simuni; Todd B Parrish; Darren R Gitelman
Journal:  PeerJ       Date:  2015-11-03       Impact factor: 2.984

10.  Commentary: Deficient approaches to human neuroimaging.

Authors:  Armin Bayati
Journal:  Front Hum Neurosci       Date:  2017-07-18       Impact factor: 3.169

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