ArticleNeurobiology of aging2015
Measuring brain atrophy with a generalized formulation of the boundary shift integral.
Article in Neurobiology of aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review.Frontiers in neurology · 2025Pooled it
- Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis-a systematic review.Neuroradiology · 2021Pooled it
- Long-term safety and tolerability of atabecestat (JNJ-54861911), an oral BACE1 inhibitor, in early Alzheimer's disease spectrum patients: a randomized, double-blind, placebo-controlled study and a two-period extension study.Alzheimer's research & therapy · 2020Trial
- Associations between ventricular boundary shift integral and composite cognitive domains across the alzheimer's disease continuum.Scientific reports · 2026Article
- Investigating the treatment of vascular risk with simvastatin in secondary progressive multiple sclerosis: analysis from the MS-STAT2 randomized controlled trial.Brain communications · 2026Article
- Sample size estimates for biomarker-based outcome measures in clinical trials in autosomal dominant Alzheimer's disease.The journal of prevention of Alzheimer's disease · 2025Article
- Association of Brain and Ventricular Boundary Shift Integral Measurements with CSF Biomarkers: A Case-Control Study.Current Alzheimer research · 2025Article
- Regional deep atrophy: Using temporal information to automatically identify regions associated with Alzheimer's disease progression from longitudinal MRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation.Frontiers in neuroscience · 2023Article
- Herpes simplex virus and rates of cognitive decline or whole brain atrophy in the Dominantly Inherited Alzheimer Network.Annals of clinical and translational neurology · 2022Article
- DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.NeuroImage · 2021Article
- Motor and higher-order functions topography of the human dentate nuclei identified with tractography and clustering methods.Human brain mapping · 2021Article
- A Deep Learning approach for Diagnosis of Mild Cognitive Impairment Based on MRI Images.Brain sciences · 2019Article
- Deep gray matter volume loss drives disability worsening in multiple sclerosis.Annals of neurology · 2018Article
- Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2017Review
- Simulating Longitudinal Brain MRIs with Known Volume Changes and Realistic Variations in Image Intensity.Frontiers in neuroscience · 2017Article
- Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction.IEEE journal of selected topics in signal processing · 2016Article
- A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis.NeuroImage · 2016Article
- Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2015Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Brain atrophy measured using structural magnetic resonance imaging (MRI) has been widely used as an imaging biomarker for disease diagnosis and tracking of pathologic progression in neurodegenerative diseases. In this work, we present a generalized and extended formulation of the boundary shift integral (gBSI) using probabilistic segmentations to estimate anatomic changes between 2 time points. This method adaptively estimates a non-binary exclusive OR region of interest from probabilistic brain segmentations of the baseline and repeat scans to better localize and capture the brain atrophy. We evaluate the proposed method by comparing the sample size requirements for a hypothetical clinical trial of Alzheimer's disease to that needed for the current implementation of BSI as well as a fuzzy implementation of BSI. The gBSI method results in a modest but reduced sample size, providing increased sensitivity to disease changes through the use of the probabilistic exclusive OR region.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.