Daniel S. Reich

This study evaluates six potential serum biomarkers for multiple sclerosis in at-risk individuals and finds most are not robust predictors, though SPP1 shows a significant inverse correlation with genetic risk.

This study develops an MRI-based method to track oligodendrocyte progenitor cell differentiation during remyelination in vivo using a gene reporter system.

This study creates a multi-modal atlas of choroid plexus pathology across aging and Alzheimer's disease, identifying fibrosis, calcification, and macrophage abnormalities as key features.

This study identifies chronic neuroinflammation in MS through scRNA-seq and proteomics, showing persistent IFN signaling and CD8 T cell cytotoxicity despite B-cell depletion.

The paper identifies spatiotemporal diversity of primate brain cells during white matter inflammatory demyelination using a cross-modality approach to inform lesion detection and management in multiple sclerosis.

This study develops a glia-enriched 3D brain model from human iPSCs that mimics MS-related neurodegenerative phenotypes and intercellular communication.

The paper shows that loss of TDP-43 function leads to the expression of de novo proteins from mis-spliced mRNA transcripts in ALS/FTD.

The paper identifies thalamic commissures in primates, showing they connect cortex to contralateral thalamus and exist in both healthy and malformed human brains.

The paper identifies lipofuscin-like autofluorescence in microglia that can interfere with detecting synaptic material and proposes a method to quench this autofluorescence in multiple species.

The paper challenges the view that axonal degeneration in MS results from immune-mediated damage by proposing that myelin itself increases axonal degeneration risk under inflammatory conditions.

This study investigates the clinical relevance of dilated Virchow-Robin spaces (VRS) as an imaging biomarker in multiple sclerosis, finding they correlate with vascular pathology rather than immune cell accumulation.

This study shows that in vivo MRI can detect remyelination in a nonhuman primate model of MS with high accuracy, suggesting its potential for preclinical and clinical applications.

Auto-STEED automates extraction of experimental parameters and risk of bias items from in vivo publications, achieving high accuracy and significant time savings.

The paper introduces the PARE framework to remove confounders from dimension reduction methods, showing it can eliminate batch effects in single-cell data and separate clinical from technical variability in neuroimaging.

The paper maps cell subclusters and their interactions in marmoset brain tissue, identifying WM-glia subtypes and their roles in neurological disorders.

This study shows that brain MRI volumetric biases persist across different scanners in a harmonized MS study, with site explaining over 50% of volume variation.

This study conducts a systematic review and meta-analysis of leptomeningeal enhancement (LME) in multiple sclerosis and other neurological diseases, finding its association with clinical and imaging features in MS.

This study uses unsupervised outlier detection in multimodal MRI data from 20,000 UK Biobank subjects to identify rare individual phenotypes, finding high reliability for some measures and confirming many outliers through radiological review.

This paper develops an automated method to detect paramagnetic rim lesions in MS using MRI data and radiomic features with a random forest classifier.

This study evaluates the PET tracer [18F]3F4AP in rhesus macaques for detecting demyelination, showing higher sensitivity than existing tracers and MRI methods.

This paper develops a method to reduce technical variation in multisite MRI data by aligning intensity distributions across scanners.

This study shows that OPC proliferation is required for differentiation during CNS remyelination, revealing a link between proliferation and differentiation in OPCs.

This study identifies synapse loss and microglial synaptic engulfment in MS models and demonstrates that targeted complement inhibition prevents synapse loss and visual dysfunction.

The paper introduces a statistical technique to count distinct multiple sclerosis lesions from MRI data, showing it correlates with gold-standard counts and provides disease-related insights.