Consensus Paper: Radiological Biomarkers of Cerebellar Diseases View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-11-11

AUTHORS

Leonardo Baldarçara, Stuart Currie, M. Hadjivassiliou, Nigel Hoggard, Allison Jack, Andrea P. Jackowski, Mario Mascalchi, Cecilia Parazzini, Kathrin Reetz, Andrea Righini, Jörg B. Schulz, Alessandra Vella, Sara Jane Webb, Christophe Habas

ABSTRACT

Hereditary and sporadic cerebellar ataxias represent a vast and still growing group of diseases whose diagnosis and differentiation cannot only rely on clinical evaluation. Brain imaging including magnetic resonance (MR) and nuclear medicine techniques allows for characterization of structural and functional abnormalities underlying symptomatic ataxias. These methods thus constitute a potential source of radiological biomarkers, which could be used to identify these diseases and differentiate subgroups of them, and to assess their severity and their evolution. Such biomarkers mainly comprise qualitative and quantitative data obtained from MR including proton spectroscopy, diffusion imaging, tractography, voxel-based morphometry, functional imaging during task execution or in a resting state, and from SPETC and PET with several radiotracers. In the current article, we aim to illustrate briefly some applications of these neuroimaging tools to evaluation of cerebellar disorders such as inherited cerebellar ataxia, fetal developmental malformations, and immune-mediated cerebellar diseases and of neurodegenerative or early-developing diseases, such as dementia and autism in which cerebellar involvement is an emerging feature. Although these radiological biomarkers appear promising and helpful to better understand ataxia-related anatomical and physiological impairments, to date, very few of them have turned out to be specific for a given ataxia with atrophy of the cerebellar system being the main and the most usual alteration being observed. Consequently, much remains to be done to establish sensitivity, specificity, and reproducibility of available MR and nuclear medicine features as diagnostic, progression and surrogate biomarkers in clinical routine. More... »

PAGES

175-196

References to SciGraph publications

  • 2008-02-23. Role of FDG-PET in the Clinical Management of Paraneoplastic Neurological Syndrome: Detection of the Underlying Malignancy and the Brain PET-MRI Correlates in MOLECULAR IMAGING AND BIOLOGY
  • 2006-07. The primate cortico-cerebellar system: anatomy and function in NATURE REVIEWS NEUROSCIENCE
  • 2014-10-10. An update on the cerebellar subtype of multiple system atrophy in CEREBELLUM & ATAXIAS
  • 2013-10-02. Cognitive Deficits In Friedreich Ataxia Correlate with Micro-structural Changes in Dentatorubral Tract in THE CEREBELLUM
  • 2012-02-04. Cognitive Deficits in Machado–Joseph Disease Correlate with Hypoperfusion of Visual System Areas in THE CEREBELLUM
  • 2009-12-18. Structural Changes Associated with Progression of Motor Deficits in Spinocerebellar Ataxia 17 in THE CEREBELLUM
  • 2008-11-12. MET and autism susceptibility: family and case–control studies in EUROPEAN JOURNAL OF HUMAN GENETICS
  • 2012-08-26. Low-Titer Anti-GAD-Antibody-Positive Cerebellar Ataxia in THE CEREBELLUM
  • 2012-01-19. Principal Component Analysis of Cerebellar Shape on MRI Separates SCA Types 2 and 6 into Two Archetypal Modes of Degeneration in THE CEREBELLUM
  • 2008-06-19. Prenatal magnetic resonance imaging: brain normal linear biometric values below 24 gestational weeks in NEURORADIOLOGY
  • 2008-10-15. The Cerebellum in Emotion Regulation: A Repetitive Transcranial Magnetic Stimulation Study in THE CEREBELLUM
  • 2007-12-19. MRI and SPECT of midbrain and striatal degeneration in fragile X-associated tremor/ataxia syndrome in JOURNAL OF NEUROLOGY
  • 2012-06-15. Cerebellar Vermis Size and Cognitive Ability in Community-Dwelling Elderly Men in THE CEREBELLUM
  • 2007-05-18. Brain Magnetic Resonance in the Diagnostic Evaluation of Mitochondrial Encephalopathies in BIOSCIENCE REPORTS
  • 2004-02-13. MRI findings in acute cerebellitis in EUROPEAN RADIOLOGY
  • 2007-04-21. Topographic brain mapping of the international cooperative ataxia rating scale in JOURNAL OF NEUROLOGY
  • 2010-07-08. Joubert Syndrome and related disorders in ORPHANET JOURNAL OF RARE DISEASES
  • 2004-03-16. Association of the homeobox transcription factor, ENGRAILED 2, 3, with autism spectrum disorder in MOLECULAR PSYCHIATRY
  • 2011-04-02. Linking coordinative and executive dysfunctions to atrophy in spinocerebellar ataxia 2 patients in BRAIN STRUCTURE AND FUNCTION
  • 2008-04-12. Magnetic resonance imaging in spinocerebellar ataxias in THE CEREBELLUM
  • 2001-12. Dysregulation of Reelin and Bcl-2 Proteins in Autistic Cerebellum in JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
  • 2013-10-05. GABA-A receptor impairment in cerebellar ataxia with anti-glutamic acid decarboxylase antibodies in JOURNAL OF NEUROLOGY
  • 2010-04-30. Posterior fossa malformations: main features and limits in prenatal diagnosis in PEDIATRIC RADIOLOGY
  • 2012-02-28. Consensus Paper: Pathological Role of the Cerebellum in Autism in THE CEREBELLUM
  • 2009-05-01. MRI Detection of the Cerebellar Syndrome in Creutzfeldt–Jakob Disease in THE CEREBELLUM
  • 2010-11-24. Superior Cerebellar Peduncle Atrophy in Friedreich’s Ataxia Correlates with Disease Symptoms in THE CEREBELLUM
  • 2010-10-01. Loss of Intrinsic Organization of Cerebellar Networks in Spinocerebellar Ataxia Type 1: Correlates with Disease Severity and Duration in THE CEREBELLUM
  • 2008-11-12. Expression of GABAB Receptors Is Altered in Brains of Subjects with Autism in THE CEREBELLUM
  • 2012-07-25. Magnetic Resonance Imaging Biomarkers in Patients with Progressive Ataxia: Current Status and Future Direction in THE CEREBELLUM
  • 2008-05-08. Putaminal lesion in multiple system atrophy: postmortem MR-pathological correlations in NEURORADIOLOGY
  • 2012-04-27. Cerebellar Atrophy in Patients with Subcortical-Type Vascular Cognitive Impairment in THE CEREBELLUM
  • 2013-05-26. Cerebellar Contribution to Anger Recognition Deficits in Huntington’s Disease in THE CEREBELLUM
  • 2013-06-04. Neuroimaging of Ataxias in NEUROIMAGING OF MOVEMENT DISORDERS
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    http://scigraph.springernature.com/pub.10.1007/s12311-014-0610-3

    DOI

    http://dx.doi.org/10.1007/s12311-014-0610-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1027076171

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25382714


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