In-depth editorial playbooks written for neuroscientists, bioinformaticians, and clinical data analysts. Learn how to harmonize cohorts, execute BIDS/NWB/AnnData Python workflows, and navigate data governance across OpenNeuro, DANDI, Allen Brain Map, and Agora.
A practical methodology for combining amyloid/tau PET, structural MRI, plasma p-tau217, and single-nucleus transcriptomics across open repositories.
Modern Alzheimer's disease research has shifted from purely syndromic clinical definitions toward a biological staging framework defined by Amyloid (A), Tau (T), and Neurodegeneration (N), alongside Neuroinflammation (I) and Vascular (V) co-pathologies. This guide explains how researchers can navigate open repositories—specifically OpenNeuro (BIDS neuroimaging), Agora AMP-AD (multi-omics target validation), and Alzforum (therapeutic & biomarker pipelines)—to design reproducible cross-cohort studies.
Navigating MJFF pipelines, DANDI Archive electrophysiology (NWB), and OpenNeuro motor circuit neuroimaging.
Parkinson's disease (PD) spans a multi-decade continuum beginning with prodromal autonomic and REM sleep behavior disorder (RBD) phases long before classical nigrostriatal dopaminergic motor symptoms emerge. This guide details how to leverage open datasets across the Michael J. Fox Foundation (MJFF) ecosystem, DANDI Archive cellular/circuit electrophysiology, and OpenNeuro fMRI/EEG recordings.
Integrating RNA-seq cryptic splicing datasets, plasma neurofilament biomarkers, and clinical survival endpoints.
Amyotrophic Lateral Sclerosis (ALS) exhibits extreme clinical variability, with survival ranging from under 18 months to over a decade. Recent open-science advances in TDP-43 cryptic exon biology (STMN2, UNC13A), antisense oligonucleotide (ASO) trials, and plasma Neurofilament Light Chain (NfL) pharmacodynamics have revolutionized ALS trial design. This guide covers best practices for analyzing open ALS transcriptomic, genetic, and clinical datasets.
Harmonizing multi-registry MS clinical cohorts and quantifying smoldering PIRA progression on structural & susceptibility MRI.
Multiple Sclerosis (MS) research increasingly relies on federated Real-World Data (RWD) registries standardized via the MS Data Alliance (MSDA) Core Dataset and OMOP Common Data Model, paired with quantitative MRI biomarkers of chronic active 'smoldering' lesions. This guide explains how to work with MS open datasets and MRI lesion segmentation pipelines.
End-to-end BIDS neuroimaging workflow for 3D-FLAIR/T1w lesion volumetry, QSM/SWI chronic active rim detection, Central Vein Sign (CVS), and cervical cord cross-sectional area.
With the 2024 revisions to the McDonald Diagnostic Criteria and the shift toward targeting smoldering neurodegeneration, Multiple Sclerosis neuroimaging has evolved far beyond simple T2 lesion counting. Modern computational pipelines integrate isotropic 3D-FLAIR and T1w MP2RAGE with T2* phase / Quantitative Susceptibility Mapping (QSM) and cervical spinal cord MRI. This guide provides a reproducible engineering playbook for automated white/cortical lesion segmentation (FreeSurfer SAMSEG / LST / nnU-Net), Paramagnetic Rim Lesion (PRL) and Central Vein Sign (CVS) quantification, re-baselined brain atrophy modeling, and Spinal Cord Toolbox (SCT) cross-sectional area analysis.
Analyzing post-mortem MS white/gray matter snRNA-seq, MERFISH lesion rim gradients, and CSF single-cell BCR/TCR repertoires.
Why do some Multiple Sclerosis plaques remyelinate into shadow plaques while others evolve into chronically inflamed, iron-rimmed lesions that drive relentless axonal degeneration? High-resolution single-nucleus RNA sequencing (snRNA-seq), spatial transcriptomics (MERFISH / Visium), and paired CSF single-cell V(D)J receptor profiling have transformed our understanding of MS cellular niches. This guide covers best practices for analyzing glial state transitions, C1q-mediated microglial-astrocytic signaling, and Epstein-Barr Virus (EBV) molecular mimicry in open MS multi-omics datasets.
End-to-end engineering tutorial for downloading, validating, preprocessing, and modeling OpenNeuro BIDS datasets.
The Brain Imaging Data Structure (BIDS) has transformed neuroimaging from bespoke laboratory folder trees into an interoperable software ecosystem. This technical tutorial walks through the complete workflow for querying OpenNeuro datasets, understanding BIDS raw vs. derivatives hierarchies, running containerized quality control (MRIQC) and preprocessing (fMRIPrep), and extracting functional connectivity matrices with Nilearn.
Working with Neuropixels, intracellular patch-clamp, and optical physiology datasets without downloading terabytes of raw files.
Modern cellular neurophysiology experiments—such as multi-probe Neuropixels recordings, two-photon calcium imaging, and human/mouse cortical Patch-seq—generate datasets ranging from hundreds of gigabytes to tens of terabytes. Hosted on the DANDI Archive in the Neurodata Without Borders (NWB) standard, these datasets can be streamed directly over HTTP in Python.
Best practices for post-mortem human brain quality control, donor-level pseudobulk differential expression, and spatial neighborhood analysis.
Single-nucleus RNA sequencing (snRNA-seq) and spatial transcriptomics (MERFISH, Xenium, Visium) have revolutionized our understanding of cellular vulnerability in neurodegenerative diseases. However, brain tissue presents unique bioinformatics challenges—including ambient synaptic RNA contamination and statistical pseudoreplication across cells from the same donor. This guide outlines gold-standard workflows using Scanpy, Squidpy, and DESeq2.
Understanding legal, ethical, and technical requirements when reusing open CNS datasets in academic or commercial R&D.
While 'Open Science' promotes broad data sharing, neuroscience datasets are governed by heterogeneous licensing tiers ranging from unconditional public domain dedication (CC0) to strict controlled-access Data Use Agreements (DUAs) for human genomic and clinical records. This guide clarifies how to verify commercial vs. non-commercial rights, attribution duties, and human subject privacy protections.