Alzheimer’s Disease Neuroimaging Initiative
Ludwig Maximilian University of Munich
Internal medicinePathologyMagnetic resonance imagingOncologyArtificial intelligenceNeuroscienceCognitionAlzheimer's Disease Neuroimaging InitiativeDiseaseDementiaAtrophyCognitive declineCognitive impairmentComputer scienceAlzheimer's diseaseApolipoprotein ENeuroimagingMedicineBiomarker (medicine)BiologyAmyloid
596Publications
32H-index
5,167Citations
Publications 599
Newest
#1Mengjin Dong (UPenn: University of Pennsylvania)H-Index: 2
#2Long Xie (UPenn: University of Pennsylvania)H-Index: 14
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Abstract null null Measures of change in hippocampal volume derived from longitudinal MRI are a well-studied biomarker of disease progression in Alzheimer's disease (AD) and are used in clinical trials to track therapeutic efficacy of disease-modifying treatments. However, longitudinal MRI change measures based on deformable registration can be confounded by MRI artifacts, resulting in over-estimation or underestimation of hippocampal atrophy. For example, the deformation-based-morphometry metho...
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#1Kelsey R. Thomas (Veterans Health Administration)H-Index: 15
#2Alexandra J. Weigand (UCSD: University of California, San Diego)H-Index: 8
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Regional cerebral blood flow (CBF) has a complex relationship with cognitive functioning such that cognitively unimpaired individuals at risk for Alzheimer's disease (AD) may show regional hyperperfusion, while those with cognitive impairment typically show hypoperfusion. Diabetes and word-list intrusion errors are both linked to greater risk of cognitive decline and dementia. Our study examined associations between fasting blood glucose, word-list intrusion errors, and regional CBF. 113 cogniti...
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#1Haichao Zhao (Beihang University)
#2Jian Cheng (Beihang University)H-Index: 2
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White matter abnormalities represent early neuropathological events in neurodegenerative diseases such as Alzheimer's disease (AD), investigating these white matter alterations would likely provide valuable insights into pathological changes over the course of AD. Using a novel mathematical framework called "Director Field Analysis" (DFA), we investigated the geometric microstructural properties (i.e., splay, bend, twist, and total distortion) in the orientation of white matter fibers in AD, amn...
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#1Devashi Paliwal (ANU: Australian National University)H-Index: 2
#2Timothy McInerney (ANU: Australian National University)H-Index: 1
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Abstract null null Genetic, animal and epidemiological studies involving biomolecular and clinical endophenotypes implicate mitochondrial dysfunction in Alzheimer's disease (AD) pathogenesis. Polygenic risk scores (PRS) provide a novel approach to assess biological pathway-associated disease risk by combining the effects of variation at multiple, functionally related genes. We investigated the associations of PRS for genes involved in 12 mitochondrial pathways (pathway-PRS) with AD in 854 partic...
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#1Donatas Sederevicius (University of Oslo)H-Index: 7
#2Didac Vidal-Piñeiro (University of Oslo)H-Index: 16
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Abstract Accurate and reliable whole-brain segmentation is critical to longitudinal neuroimaging studies. We undertake a comparative analysis of two subcortical segmentation methods, Automatic Segmentation (ASEG) and Sequence Adaptive Multimodal Segmentation (SAMSEG), recently provided in the open-source neuroimaging package FreeSurfer 7.1, with regard to reliability, bias, sensitivity to detect longitudinal change, and diagnostic sensitivity to Alzheimer's disease. First, we assess intra- and i...
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#1Davina Biel (LMU: Ludwig Maximilian University of Munich)
#1Davina Biel (LMU: Ludwig Maximilian University of Munich)
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BACKGROUND To systematically examine the clinical utility of tau-PET and Braak-staging as prognostic markers of future cognitive decline in older adults with and without cognitive impairment. METHODS In this longitudinal study, we included 396 cognitively normal to dementia subjects with 18F-Florbetapir/18F-Florbetaben-amyloid-PET, 18F-Flortaucipir-tau-PET and ~ 2-year cognitive follow-up. Annual change rates in global cognition (i.e., MMSE, ADAS13) and episodic memory were calculated via linear...
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#1Jacob W. Vogel (Montreal Neurological Institute and Hospital)H-Index: 17
#2Yasser Iturria-Medina (Montreal Neurological Institute and Hospital)H-Index: 26
Last. Swedish BioFinder StudyH-Index: 1
view all 9 authors...
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#1Kichang Kwak (UNC: University of North Carolina at Chapel Hill)H-Index: 1
#2Marc Niethammer (UNC: University of North Carolina at Chapel Hill)H-Index: 36
view all 6 authors...
Mild cognitive impairment (MCI) is often considered the precursor of Alzheimer's disease. However, MCI is associated with substantially variable progression rates, which are not well understood. Attempts to identify the mechanisms that underlie MCI progression have often focused on the hippocampus but have mostly overlooked its intricate structure and subdivisions. Here, we utilized deep learning to delineate the contribution of hippocampal subfields to MCI progression. We propose a dense convol...
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#1Nazanin Makkinejad (IIT: Illinois Institute of Technology)H-Index: 3
#2Arnold M. Evia (Rush University Medical Center)
Last. Julie A. Schneider (Rush University Medical Center)H-Index: 134
view all 11 authors...
Abstract null null Brain arteriolosclerosis, one of the main pathologies of cerebral small vessel disease, is common in older adults and has been linked to lower cognitive and motor function and higher odds of dementia. In spite of its frequency and associated morbidity, arteriolosclerosis can only be diagnosed at autopsy. Therefore, the purpose of this work was to develop an in-vivo classifier of arteriolosclerosis based on brain MRI. First, an ex-vivo classifier of arteriolosclerosis was devel...
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#1Meiyan Huang (Southern Medical University)H-Index: 12
#2Haoran Lai (Southern Medical University)
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Genome-wide association analysis (GWAS) is a commonly used method to detect the potential biomarkers of Alzheimer's disease (AD). Most existing GWAS methods entail a high computational cost, disregard correlations among imaging data and correlations among genetic data, and ignore various associations between longitudinal imaging and genetic data. A novel GWAS method was proposed to identify potential AD biomarkers and address these problems. A network based on a gated recurrent unit was applied ...
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