Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

(2019) Simeon Spasov et al.   NEUROIMAGE

Evaluation of Functional Decline in Alzheimer’s Dementia Using 3D Deep Learning and Group ICA for rs-fMRI Measurements

(2019) Muhammad Naveed Iqbal Qureshi et al.   Frontiers in Aging Neuroscience

Reproducibility of functional brain alterations in major depressive disorder: Evidence from a multisite resting-state functional MRI study with 1,434 individuals

(2019) Mingrui Xia et al.   NEUROIMAGE

Aβ and tau prion-like activities decline with longevity in the Alzheimer’s disease human brain

(2019) Atsushi Aoyagi et al.   Science Translational Medicine

The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes

(2019) Eric Feczko et al.   TRENDS IN COGNITIVE SCIENCES

Multi-stream multi-scale deep convolutional networks for Alzheimer’s disease detection using MR images

(2019) Chenjie Ge et al.   NEUROCOMPUTING

NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease

(2018) Clifford R. Jack et al.   Alzheimers & Dementia

Polygenic Risk Score for Alzheimer’s Disease: Implications for Memory Performance and Hippocampal Volumes in Early Life

(2018) Luiza K. Axelrud et al.   AMERICAN JOURNAL OF PSYCHIATRY

Predicting progression from normal cognition to mild cognitive impairment for individuals at 5 years

(2018) Marilyn Albert et al.   BRAIN

Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study

(2018) Brian A Gordon et al.   LANCET NEUROLOGY

Cognitive and neuroimaging features and brain β-amyloidosis in individuals at risk of Alzheimer's disease (INSIGHT-preAD): a longitudinal observational study

(2018) Bruno Dubois et al.   LANCET NEUROLOGY

Landmark-based deep multi-instance learning for brain disease diagnosis

(2018) Mingxia Liu et al.   MEDICAL IMAGE ANALYSIS

High performance plasma amyloid-β biomarkers for Alzheimer’s disease

(2018) Akinori Nakamura et al.   NATURE

The personal and clinical utility of polygenic risk scores

(2018) Ali Torkamani et al.   NATURE REVIEWS GENETICS

Classification of multi-site MR images in the presence of heterogeneity using multi-task learning

(2018) Qiongmin Ma et al.   NeuroImage-Clinical

Racial and ethnic estimates of Alzheimer's disease and related dementias in the United States (2015–2060) in adults aged ≥65 years

(2018) Kevin A. Matthews et al.   Alzheimers & Dementia

Trans-ethnic association study of blood pressure determinants in over 750,000 individuals

(2018) Ayush Giri et al.   NATURE GENETICS

Neurogenetic contributions to amyloid beta and tau spreading in the human cortex

(2018) Jorge Sepulcre et al.   NATURE MEDICINE

Machine learning in neuroimaging: Progress and challenges

(2018) Christos Davatzikos   NEUROIMAGE

Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set

(2018) N. del-Toro et al.   Nature Communications

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

(2018) Yiming Ding et al.   RADIOLOGY

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

(2018) Chunfeng Lian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Strategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers

(2017) Giovanni B Frisoni et al.   LANCET NEUROLOGY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Early brain development in infants at high risk for autism spectrum disorder

(2017) Heather Cody Hazlett et al.   NATURE

Building better biomarkers: brain models in translational neuroimaging

(2017) Choong-Wan Woo et al.   NATURE NEUROSCIENCE

Statistical power and prediction accuracy in multisite resting-state fMRI connectivity

(2017) Christian Dansereau et al.   NEUROIMAGE

Cross-validation failure: Small sample sizes lead to large error bars

(2017) Gaël Varoquaux   NEUROIMAGE

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

(2017) Saima Rathore et al.   NEUROIMAGE

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals

(2017) Martin Rozycki et al.   SCHIZOPHRENIA BULLETIN

Multicenter stability of resting state fMRI in the detection of Alzheimer's disease and amnestic MCI

(2017) Stefan J. Teipel et al.   NeuroImage-Clinical

Genetic risk factors for the posterior cortical atrophy variant of Alzheimer's disease

(2016) Jonathan M. Schott et al.   Alzheimers & Dementia

Network-Based Statistic Show Aberrant Functional Connectivity in Alzheimer's Disease

(2016) Yafeng Zhan et al.   IEEE Journal of Selected Topics in Signal Processing

The search for imaging biomarkers in psychiatric disorders

(2016) Anissa Abi-Dargham et al.   NATURE MEDICINE

Genetic variants in Alzheimer disease — molecular and brain network approaches

(2016) Chris Gaiteri et al.   Nature Reviews Neurology

Polygenic risk of Alzheimer disease is associated with early- and late-life processes

(2016) Elizabeth C. Mormino et al.   NEUROLOGY

Tau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease

(2016) Matthew R. Brier et al.   Science Translational Medicine

Structural imaging biomarkers of Alzheimer's disease: predicting disease progression

(2015) Simon F. Eskildsen et al.   NEUROBIOLOGY OF AGING

Abnormal salience network in normal aging and in amnestic mild cognitive impairment and Alzheimer's disease

(2013) Xiaoxi He et al.   HUMAN BRAIN MAPPING

How early can we predict Alzheimer's disease using computational anatomy?

(2013) Stanisław Adaszewski et al.   NEUROBIOLOGY OF AGING

The clinical use of structural MRI in Alzheimer disease

(2010) Giovanni B. Frisoni et al.   Nature Reviews Neurology

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

(2009) Chris Hinrichs et al.   NEUROIMAGE

Core candidate neurochemical and imaging biomarkers of Alzheimer’s disease

(2007) Harald Hampel et al.   Alzheimers & Dementia

Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

(2006) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING