• 665 Citations
  • 10 h-Index
20042019
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Fingerprint Dive into the research topics where Mary Quiceno is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 10 Similar Profiles
Alzheimer Disease Medicine & Life Sciences
Brain Medicine & Life Sciences
Neuroimaging Medicine & Life Sciences
Cerebrospinal Fluid Medicine & Life Sciences
Biomarkers Medicine & Life Sciences
Disease Progression Medicine & Life Sciences
Amyloid Medicine & Life Sciences
Atrophy Medicine & Life Sciences

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Research Output 2004 2019

  • 665 Citations
  • 10 h-Index
  • 25 Article
3 Citations (Scopus)

A blood-based signature of cerebrospinal fluid Aβ 1–42 status

Alzheimer’s Disease Metabolomics Consortium & Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific Reports. 9, 1, 4163.

Research output: Contribution to journalArticle

Open Access
Cerebrospinal Fluid
Amyloid
Alzheimer Disease
Positron-Emission Tomography
Area Under Curve

Cognitive training and transcranial direct current stimulation in mild cognitive impairment: A randomized pilot trial

Das, N., Spence, J. S., Aslan, S., Vanneste, S., Mudar, R., Rackley, A., Quiceno, M. & Chapman, S. B., Jan 1 2019, In : Frontiers in Neuroscience. 13, APR, 307.

Research output: Contribution to journalArticle

Open Access
Cerebrovascular Circulation
Executive Function
Episodic Memory
Transcranial Direct Current Stimulation
Cognitive Dysfunction

Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Nature communications. 10, 1, 3310.

Research output: Contribution to journalArticle

Open Access
loci
Alzheimer Disease
Haplotypes
Endophenotypes
brain
3 Citations (Scopus)

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

for Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific Reports. 9, 1, 1952.

Research output: Contribution to journalArticle

Open Access
Disease Progression
Alzheimer Disease
Learning
Neuroimaging
Area Under Curve
2 Citations (Scopus)

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

For the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific Reports. 9, 1, 2235.

Research output: Contribution to journalArticle

Open Access
Disease Progression
Alzheimer Disease
Demography
Complement C1
Prodromal Symptoms