Literature DB >> 20798918

[Innovative MRI techniques in Parkinson's disease].

S Baudrexel1, J C Klein, R Deichmann, R Hilker.   

Abstract

Brain imaging enables the investigation of brain morphology and function in patients with Parkinson's disease (PD). Innovative magnetic resonance imaging (MRI) techniques have recently been established as a new research tool in PD. They are based on the investigation of neuronal tissue properties (MR relaxometry, SWI, DWI, DTI, VBM) and of cerebral perfusion and neuronal activity (ASL, fcMRI). Besides a better understanding of the pathophysiology of PD, these innovative MR techniques might be suitable for measuring progression of PD and the effect of therapeutic interventions on brain functioning. In the clinical setting, they could help to advance the differential diagnosis of parkinsonian disorders.

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Year:  2010        PMID: 20798918     DOI: 10.1007/s00115-010-3023-7

Source DB:  PubMed          Journal:  Nervenarzt        ISSN: 0028-2804            Impact factor:   1.214


  37 in total

1.  Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

Authors:  T E J Behrens; M W Woolrich; M Jenkinson; H Johansen-Berg; R G Nunes; S Clare; P M Matthews; J M Brady; S M Smith
Journal:  Magn Reson Med       Date:  2003-11       Impact factor: 4.668

Review 2.  Arterial spin-labeled perfusion MRI in basic and clinical neuroscience.

Authors:  John A Detre; Jiongjiong Wang; Ze Wang; Hengyi Rao
Journal:  Curr Opin Neurol       Date:  2009-08       Impact factor: 5.710

3.  Influence of RF spoiling on the stability and accuracy of T1 mapping based on spoiled FLASH with varying flip angles.

Authors:  C Preibisch; R Deichmann
Journal:  Magn Reson Med       Date:  2009-01       Impact factor: 4.668

Review 4.  Potential of advanced MR imaging techniques in the differential diagnosis of parkinsonism.

Authors:  Anna Hotter; Regina Esterhammer; Michael F H Schocke; Klaus Seppi
Journal:  Mov Disord       Date:  2009       Impact factor: 10.338

5.  Assessment of relative brain iron concentrations using T2-weighted and T2*-weighted MRI at 3 Tesla.

Authors:  R J Ordidge; J M Gorell; J C Deniau; R A Knight; J A Helpern
Journal:  Magn Reson Med       Date:  1994-09       Impact factor: 4.668

6.  Characterizing iron deposition in Parkinson's disease using susceptibility-weighted imaging: an in vivo MR study.

Authors:  Jiuquan Zhang; Yanling Zhang; Jian Wang; Ping Cai; Chunxia Luo; Zhongming Qian; Yongming Dai; Hua Feng
Journal:  Brain Res       Date:  2010-03-18       Impact factor: 3.252

7.  Changes in network activity with the progression of Parkinson's disease.

Authors:  Chaorui Huang; Chengke Tang; Andrew Feigin; Martin Lesser; Yilong Ma; Michael Pourfar; Vijay Dhawan; David Eidelberg
Journal:  Brain       Date:  2007-04-30       Impact factor: 13.501

8.  Parkinson's disease spatial covariance pattern: noninvasive quantification with perfusion MRI.

Authors:  Yilong Ma; Chaorui Huang; Jonathan P Dyke; Hong Pan; David Alsop; Andrew Feigin; David Eidelberg
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-06       Impact factor: 6.200

9.  Midbrain iron content in early Parkinson disease: a potential biomarker of disease status.

Authors:  W R Wayne Martin; Marguerite Wieler; Myrlene Gee
Journal:  Neurology       Date:  2008-01-02       Impact factor: 9.910

10.  Cerebral atrophy in Parkinson's disease with and without dementia: a comparison with Alzheimer's disease, dementia with Lewy bodies and controls.

Authors:  Emma J Burton; Ian G McKeith; David J Burn; E David Williams; John T O'Brien
Journal:  Brain       Date:  2004-01-28       Impact factor: 13.501

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  1 in total

1.  T2-relaxometry predicts outcome of DBS in idiopathic Parkinson's disease.

Authors:  Tarja Lönnfors-Weitzel; Thilo Weitzel; Johannes Slotboom; Claus Kiefer; Claudio Pollo; Michael Schüpbach; Markus Oertel; Alain Kaelin; Roland Wiest
Journal:  Neuroimage Clin       Date:  2016-09-29       Impact factor: 4.881

  1 in total

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