In vivo detection of connectivity between cortical and white matter lesions in early MS.
Mult Scler
; 23(7): 973-981, 2017 Jun.
Article
en En
| MEDLINE
| ID: mdl-27698248
ABSTRACT
BACKGROUND:
The relationship between cortical lesions (CLs) and white matter lesions (WMLs) in multiple sclerosis (MS) is poorly understood. Pathological studies support a topographical association between CLs and underlying subcortical WMLs and suggest CLs may play a role in both disease initiation and progression. We hypothesized that cortical MS lesions are physically connected to white matter MS lesions via axonal connections.OBJECTIVE:
To assess the presence of CL-WML connectivity utilizing novel magnetic resonance imaging (MRI) methodology.METHODS:
In all, 28 relapsing-remitting MS patients and 25 controls received 3 T MRI scans, including double inversion recovery (DIR) for CL detection coupled with diffusion tensor imaging (DTI). CL and WML maps were created, and DTI was used to calculate inter-lesional connectivity and volumetric connectivity indices.RESULTS:
All patients showed inter-lesional WML connectivity (median 76% of WMLs connected to another WML; interquartile range (IQR), 58%-88%). On average, 52% of detected CLs per patient were connected to at least one WML (IQR, 42%-71%). Volumetric connectivity analysis showed significantly elevated cortical lesion ratios in MS patients (median, 2.3; IQR, 1.6-3.3) compared to null MS and healthy control datasets ( p < 0.001).CONCLUSION:
These findings provide strong evidence of inter-lesional connectivity between CLs and WMLs, supporting our hypothesis of intrinsic CL-WML connectivity.Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Imagen por Resonancia Magnética
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Corteza Cerebral
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Esclerosis Múltiple Recurrente-Remitente
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Leucoencefalopatías
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Imagen de Difusión Tensora
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Sustancia Blanca
Tipo de estudio:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Mult Scler
Asunto de la revista:
NEUROLOGIA
Año:
2017
Tipo del documento:
Article
País de afiliación:
Estados Unidos