Publications by authors named "F J Provenzano"

Article Synopsis
  • - Recent advancements in ALS therapies have created optimism for future breakthroughs, yet significant scientific challenges remain, highlighting the need for innovative research approaches.
  • - The NIH has formed the Access for ALL in ALS (ALL ALS) consortium to enhance ALS clinical research in the U.S. by organizing and centralizing data collection from diverse ALS populations.
  • - ALL ALS focuses on community engagement and inclusion, aiming to provide a robust dataset that combines clinical and genomic information to support researchers in addressing critical questions about ALS.
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Biostatistics plays a pivotal role in developing, interpreting and drawing conclusions from clinical, biological and epidemiological data. However, the improper application of statistical methods can lead to erroneous conclusions and misinterpretations. This paper provides a comprehensive examination of the most frequent mistakes encountered in the biostatistical analysis process.

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Purpose: Pathogenic variants in kinesin family member 1A (KIF1A) are associated with KIF1A-associated neurological disorder. We report the clinical phenotypes and correlate genotypes of individuals with KIF1A-associated neurological disorder.

Methods: Medical history and adaptive function were assessed longitudinally.

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Background: Psychosis in Alzheimer's disease (AD) is associated with worse outcomes, yet no established biomarkers exist for early diagnosis and intervention. We compared tau PET burden across older individuals with and without psychotic symptoms.

Methods: [F]AV1451 tau PET binding was compared between 26 Alzheimer's Disease Neuroimaging Initiative (ADNI) subjects with psychotic symptoms (delusions and/or hallucinations) and 26 ADNI subjects without psychotic symptoms, matched for age, sex, race/ethnicity, and clinical severity.

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Objective: Temporal coordination between oscillations enables intercortical communication and is implicated in cognition. Focal epileptic activity can affect distributed neural networks and interfere with these interactions. Refractory pediatric epilepsies are often accompanied by substantial cognitive comorbidity, but mechanisms and predictors remain mostly unknown.

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