Laurel Beckett

发表

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Norbert Schuff, Michael W. Weiner, Andrew J. Saykin, 2020, Scientific Reports.

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Andrew J. Saykin, Arthur W. Toga, Qianjin Feng, 2017, Scientific Reports.

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Norbert Schuff, Michael W. Weiner, Andrew J. Saykin, 2019, Scientific Reports.

GenEpi: gene-based epistasis discovery using machine learning

Michael W. Weiner, Yen-Jen Oyang, Arthur W. Toga, 2018, BMC Bioinformatics.

A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data

Norbert Schuff, Michael W. Weiner, Andrew J. Saykin, 2019, Scientific Reports.

A lack of default network suppression is linked to increased distractibility in ADHD

Danielle Mizuiri, Catherine Fassbender, Julie B. Schweitzer, 2009, Brain Research.

Maximal brain size remains an important predictor of cognition in old age, independent of current brain pathology

Charles DeCarli, Owen Carmichael, Bruce Reed, 2012, Neurobiology of Aging.

Transcranial electrical stimulation

Gregg H. Recanzone, Naomi Saito, Laurel Beckett, 2017, Current Biology.

Coalition Against Major Diseases/European Medicines Agency biomarker qualification of hippocampal volume for enrichment of clinical trials in predementia stages of Alzheimer's disease

Martha Brumfield, Robin Wolz, Marina Boccardi, 2014, Alzheimer's & Dementia.