The number of optic neuritis attacks is a potential confounder when comparing patients with NMO vs. controls by voxel-based neuroimaging analysis. (Q52147517)

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scientific article published on 25 October 2015

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English	The number of optic neuritis attacks is a potential confounder when comparing patients with NMO vs. controls by voxel-based neuroimaging analysis.	scientific article published on 25 October 2015

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28 February 2020

The number of optic neuritis attacks is a potential confounder when comparing patients with NMO vs. controls by voxel-based neuroimaging analysis (English)

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28 February 2020

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Carlos Alfredo Sánchez Catasús

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28 February 2020

Rafael Rodriguez-Rojas

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28 February 2020

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José Cabrera-Gomez

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28 February 2020

William Almaguer Melián

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28 February 2020

Jorge Bosch Bayard

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28 February 2020

Pedro Valdes-Sosa

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28 February 2020

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25 October 2015

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28 February 2020

Acta Radiologica

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28 February 2020

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28 February 2020

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28 February 2020

985-991

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28 February 2020

Diagnosis and classification of neuromyelitis optica (Devic's syndrome).

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Neuromyelitis optica: clinical features, immunopathogenesis and treatment.

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Neuromyelitis optica (NMO)--an autoimmune disease of the central nervous system (CNS).

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Structural brain abnormalities are related to retinal nerve fiber layer thinning and disease duration in neuromyelitis optica spectrum disorders

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

White matter volume is decreased in the brain of patients with neuromyelitis optica

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

White matter atrophy and cognitive dysfunctions in neuromyelitis optica.

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

White matter atrophy in brain of neuromyelitis optica: a voxel-based morphometry study

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Advanced magnetic resonance imaging of neuromyelitis optica: a multiparametric approach

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Olfactory dysfunction in neuromyelitis optica spectrum disorders

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Brain Tissue Volumes and Perfusion Change with the Number of Optic Neuritis Attacks in Relapsing Neuromyelitis Optica: A Voxel-Based Correlation Study.

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Revised diagnostic criteria for neuromyelitis optica

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Nonparametric permutation tests for functional neuroimaging: a primer with examples

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Combining voxel intensity and cluster extent with permutation test framework

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

An epidemiological study of neuromyelitis optica in Cuba

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Sleep abnormality in neuromyelitis optica spectrum disorder

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Hypoxemia, Sleep Disturbances, and Depression Correlated with Fatigue in Neuromyelitis Optica Spectrum Disorder.

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths

1 reference

https://api.crossref.org/works/10.1177%2F0284185115610935

21 January 2018

Combining atlas-based parcellation of regional brain data acquired across scanners at 1.5 T and 3.0 T field strengths

1 reference

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21 January 2018

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10.1177/0284185115610935

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Europe PubMed Central

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26503959%20AND%20SRC:MED&resulttype=core&format=json

28 February 2020

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26503959%20AND%20SRC:MED&resulttype=core&format=json

28 February 2020

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