Christian Dansereau

Alzheimer’s Disease Neuroimaging Initiative — United States

Neuroscience · Life Sciences

19h-index1.4kcitations76works7.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Functional Brain Connectivity Studies(40), Dementia and Cognitive Impairment Research(34), Neural dynamics and brain function(18), EEG and Brain-Computer Interfaces(12), Advanced Neuroimaging Techniques and Applications(10)

Publications72 total

AI‐driven patient selection can drastically reduce sample sizes in Alzheimer's disease clinical trials
Alzheimer s & Dementia·2025Open Access
Frequency and Clinical Outcomes Associated With Tau Positron Emission Tomography Positivity
JAMA·2025· 25 citedOpen Access
High-precision machine learning identifies a reproducible functional connectivity signature of autism spectrum diagnosis in a subset of individuals
GigaScience·2025· 1 citedOpen Access
Reducing Screen Failure Rates Due to Biomarker Cut‐offs in Early AD Trials with a Prognostic Model
Alzheimer s & Dementia·2024Open Access
Foresight AD: A multimodal prognostic tool to forecast cognitive and functional decline in early Alzheimer's disease
Journal of the Neurological Sciences·2023· 1 citedOpen Access
Outcome imbalance in clinical trials: Mitigating loss of statistical power
Alzheimer s & Dementia·2023Open Access
Assessment of white matter hyperintensity severity using multimodal magnetic resonance imaging
Brain Communications·2023· 16 citedOpen Access
Prediction of cognitive decline for enrichment of Alzheimer’s disease clinical trials with machine learning
Alzheimer s & Dementia·2022
Spatial Extent of Amyloid-β Levels and Associations With Tau-PET and Cognition
JAMA Neurology·2022· 21 citedOpen Access
Association of Elevated Amyloid and Tau Positron Emission Tomography Signal With Near-Term Development of Alzheimer Disease Symptoms in Older Adults Without Cognitive Impairment
JAMA Neurology·2022· 124 citedOpen Access
Prediction of Cognitive Decline for Enrichment of Alzheimer's Disease Clinical Trials
The Journal of Prevention of Alzheimer s Disease·2022· 4 citedOpen Access
A machine learning enrichment strategy for presymptomatic cohorts in Alzheimer’s disease clinical trials
Alzheimer s & Dementia·2021
Prediction of cognitive decline for enrichment of Alzheimer's disease clinical trials
arXiv (Cornell University)·2021· 23 citedOpen Access
Cerebral functional networks during sleep in young and older individuals
Scientific Reports·2021· 20 citedOpen Access
Validation and replication of a prognostic machine learning model for enrichment of cognitive decliners in clinical trials
Alzheimer s & Dementia·2020Open Access
Reproducible functional connectivity endophenotype confers high risk of ASD diagnosis in a subset of individuals
2020· 2 citedOpen Access
P1‐406: PRE‐SCREENING MACHINE LEARNING MODEL FOR β‐AMYLOID POSITIVE ENRICHMENT
Alzheimer s & Dementia·2019Open Access
Rostral-Caudal Hippocampal Functional Convergence Is Reduced Across the Alzheimer’s Disease Spectrum
Molecular Neurobiology·2019· 13 cited
A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia
GigaScience·2019· 22 citedOpen Access
Data‐driven approaches for tau‐PET imaging biomarkers in Alzheimer's disease
Human Brain Mapping·2018· 47 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

Pierre Bellec(44), Pierre Orban(30), Angela Tam(27), John C.S. Breitner(20), Pedro Rosa‐Neto(19), Sylvia Villeneuve(12), Alan C. Evans(12), AmanPreet Badhwar(11), Sebastian Urchs(11), Judes Poirier(9), Alexa Pichet Binette(8), Cécile Madjar(8), Serge Gauthier(8), Yassine Benhajali(8), John C. Morris(7), Jacob W. Vogel(7), Alain Dagher(7), Oury Monchi(7), Reisa A. Sperling(6), Anne Labonté(6)