Papers by Tamar Gollan
SLaCAD: A Spoken Language Corpus for Early Alzheimer’s Disease Detection (2024.lrec-main)
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Shahla Farzana, Edoardo Stoppa, Alex Leow, Tamar Gollan, Raeanne Moore, David Salmon, Douglas Galasko, Erin Sundermann, Natalie Parde
| Challenge: | Recent studies show that cerebrospinal fluid (CSF) levels serve as useful early biomarkers for identifying early AD, but CSF biomarker collection is challenging. |
| Approach: | They propose to use speech data to identify early Alzheimer's disease (AD) trajectory to identify cognitive deficits in early disease stages. |
| Outcome: | The proposed dataset relates speech and speech characteristics with CSF and plasma biomarkers to clinical diagnoses, CSF levels, and biomarker scores. |