Automated Brainstem Segmentation Detects Differential Involvement in Atypical Parkinsonian Syndromes

OBJECTIVE: Brainstem segmentation has been useful in identifying potential imaging biomarkers for diagnosis and progression in atypical parkinsonian syndromes (APS). However, the majority of work has been performed using manual segmentation, which is time consuming for large cohorts. METHODS: We inv...

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Pubblicato in:J Mov Disord
Autori principali: Bocchetta, Martina, Iglesias, Juan Eugenio, Chelban, Viorica, Jabbari, Edwin, Lamb, Ruth, Russell, Lucy L., Greaves, Caroline V., Neason, Mollie, Cash, David M., Thomas, David L., Warren, Jason D., Woodside, John, Houlden, Henry, Morris, Huw R., Rohrer, Jonathan D.
Natura: Artigo
Lingua:Inglês
Pubblicazione: The Korean Movement Disorder Society 2020
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Original Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6987532/
https://ncbi.nlm.nih.gov/pubmed/31552724
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.14802/jmd.19030
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