A multimodal MRI-based classification signature emerges just prior to symptom onset in frontotemporal dementia mutation carriers.
J Neurol Neurosurg Psychiatry
; 90(11): 1207-1214, 2019 11.
Article
en En
| MEDLINE
| ID: mdl-31203211
ABSTRACT
BACKGROUND:
Multimodal MRI-based classification may aid early frontotemporal dementia (FTD) diagnosis. Recently, presymptomatic FTD mutation carriers, who have a high risk of developing FTD, were separated beyond chance level from controls using MRI-based classification. However, it is currently unknown how these scores from classification models progress as mutation carriers approach symptom onset. In this longitudinal study, we investigated multimodal MRI-based classification scores between presymptomatic FTD mutation carriers and controls. Furthermore, we contrasted carriers that converted during follow-up ('converters') and non-converting carriers ('non-converters').METHODS:
We acquired anatomical MRI, diffusion tensor imaging and resting-state functional MRI in 55 presymptomatic FTD mutation carriers and 48 healthy controls at baseline, and at 2, 4, and 6 years of follow-up as available. At each time point, FTD classification scores were calculated using a behavioural variant FTD classification model. Classification scores were tested in a mixed-effects model for mean differences and differences over time.RESULTS:
Presymptomatic mutation carriers did not have higher classification score increase over time than controls (p=0.15), although carriers had higher FTD classification scores than controls on average (p=0.032). However, converters (n=6) showed a stronger classification score increase over time than non-converters (p<0.001).CONCLUSIONS:
Our findings imply that presymptomatic FTD mutation carriers may remain similar to controls in terms of MRI-based classification scores until they are close to symptom onset. This proof-of-concept study shows the promise of longitudinal MRI data acquisition in combination with machine learning to contribute to early FTD diagnosis.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Diagnóstico Precoz
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Demencia Frontotemporal
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Imagen Multimodal
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Síntomas Prodrómicos
/
Mutación
Tipo de estudio:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Límite:
Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
J Neurol Neurosurg Psychiatry
Año:
2019
Tipo del documento:
Article
País de afiliación:
Países Bajos