Literature DB >> 22976235

Individual classification of mild cognitive impairment subtypes by support vector machine analysis of white matter DTI.

S Haller1, P Missonnier, F R Herrmann, C Rodriguez, M-P Deiber, D Nguyen, G Gold, K-O Lovblad, P Giannakopoulos.   

Abstract

BACKGROUND AND
PURPOSE: MCI was recently subdivided into sd-aMCI, sd-fMCI, and md-aMCI. The current investigation aimed to discriminate between MCI subtypes by using DTI.
MATERIALS AND METHODS: Sixty-six prospective participants were included: 18 with sd-aMCI, 13 with sd-fMCI, and 35 with md-aMCI. Statistics included group comparisons using TBSS and individual classification using SVMs.
RESULTS: The group-level analysis revealed a decrease in FA in md-aMCI versus sd-aMCI in an extensive bilateral, right-dominant network, and a more pronounced reduction of FA in md-aMCI compared with sd-fMCI in right inferior fronto-occipital fasciculus and inferior longitudinal fasciculus. The comparison between sd-fMCI and sd-aMCI, as well as the analysis of the other diffusion parameters, yielded no significant group differences. The individual-level SVM analysis provided discrimination between the MCI subtypes with accuracies around 97%. The major limitation is the relatively small number of cases of MCI.
CONCLUSIONS: Our data show that, at the group level, the md-aMCI subgroup has the most pronounced damage in white matter integrity. Individually, SVM analysis of white matter FA provided highly accurate classification of MCI subtypes.

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Mesh:

Year:  2012        PMID: 22976235      PMCID: PMC7965106          DOI: 10.3174/ajnr.A3223

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  73 in total

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Journal:  Neurobiol Aging       Date:  2010-04-03       Impact factor: 4.673

3.  White matter integrity in mild cognitive impairment: a tract-based spatial statistics study.

Authors:  Lin Zhuang; Wei Wen; Wanlin Zhu; Julian Trollor; Nicole Kochan; John Crawford; Simone Reppermund; Henry Brodaty; Perminder Sachdev
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4.  Diffusion tensor imaging analysis with tract-based spatial statistics of the white matter abnormalities after epilepsy surgery.

Authors:  D Nguyen; M I Vargas; N Khaw; M Seeck; J Delavelle; K O Lovblad; S Haller
Journal:  Epilepsy Res       Date:  2011-03-05       Impact factor: 3.045

5.  Specific anatomic associations between white matter integrity and cognitive reserve in normal and cognitively impaired elders.

Authors:  Eider M Arenaza-Urquijo; Beatriz Bosch; Roser Sala-Llonch; Cristina Solé-Padullés; Carme Junqué; Davinia Fernández-Espejo; Núria Bargalló; Lorena Rami; José Luis Molinuevo; David Bartrés-Faz
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6.  Instrumental activities of daily living as a screening tool for cognitive impairment and dementia in elderly community dwellers.

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8.  Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics.

Authors:  Stephen M Smith; Heidi Johansen-Berg; Mark Jenkinson; Daniel Rueckert; Thomas E Nichols; Karla L Miller; Matthew D Robson; Derek K Jones; Johannes C Klein; Andreas J Bartsch; Timothy E J Behrens
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9.  Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment.

Authors:  Laurence O'Dwyer; Franck Lamberton; Arun L W Bokde; Michael Ewers; Yetunde O Faluyi; Colby Tanner; Bernard Mazoyer; Desmond O'Neill; Máiréad Bartley; D Rónán Collins; Tara Coughlan; David Prvulovic; Harald Hampel
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10.  Automatic classification of MR scans in Alzheimer's disease.

Authors:  Stefan Klöppel; Cynthia M Stonnington; Carlton Chu; Bogdan Draganski; Rachael I Scahill; Jonathan D Rohrer; Nick C Fox; Clifford R Jack; John Ashburner; Richard S J Frackowiak
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  16 in total

1.  Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.

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2.  The "peeking" effect in supervised feature selection on diffusion tensor imaging data.

Authors:  S Diciotti; S Ciulli; M Mascalchi; M Giannelli; N Toschi
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Review 3.  State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.

Authors:  Magalie Viallon; Victor Cuvinciuc; Benedicte Delattre; Laura Merlini; Isabelle Barnaure-Nachbar; Seema Toso-Patel; Minerva Becker; Karl-Olof Lovblad; Sven Haller
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Review 4.  Neuroimaging of dementia in 2013: what radiologists need to know.

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Journal:  Eur Radiol       Date:  2013-07-10       Impact factor: 5.315

5.  Different patterns of white matter disruption among amnestic mild cognitive impairment subtypes: relationship with neuropsychological performance.

Authors:  He Li; Ying Liang; Kewei Chen; Xin Li; Ni Shu; Zhanjun Zhang; Yongyan Wang
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6.  Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification.

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7.  Automated Classification to Predict the Progression of Alzheimer's Disease Using Whole-Brain Volumetry and DTI.

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Review 8.  Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

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9.  Cognitive Impairment Assessment through Visuospatial Memory Can Be Performed with a Modified Walking Corsi Test Using the 'Magic Carpet'.

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10.  Classification of symptom-side predominance in idiopathic Parkinson's disease.

Authors:  Delia-Lisa Feis; Esther A Pelzer; Lars Timmermann; Marc Tittgemeyer
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