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T. Hohman

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Open access Oct 2026

Lower cardiac output is associated with longitudinal decreases in cerebrospinal fluid amyloid-β42, a core Alzheimer's disease biomarker, in women but not men.

Subclinical reductions in cardiac output relate to cognitive decline. We examined the relationship between cardiac output and cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease pathologies in 153 participants from the Vanderbilt Memory and Aging Project. Linear regression and linear mixed effects regression mo...

Amalia J. Peterson, Yun-Yi Sun, Dan-Dan Liu et al. · 0 citations
Open access Oct 2026

UPER: A Unified Polyhedral Representation for universal multi-dimensional diffusion MRI image modeling.

Medical computer vision presents unique challenges compared to natural images, largely due to the high dimensionality of the data (e.g., 3D and 4D imaging) and limited training samples. Certain medical imaging modalities, such as Diffusion-weighted Magnetic Resonance Imaging (dMRI) - a critical tool for examining brain...

Tian-Yuan Yao, Zhi-Yuan Li, Michael E. Kim et al. · 0 citations
Open access Sep 2026

Conditional Mutant MAPT Overexpression in Neural Organoids Elicits Robust Tau Accumulation and Pathological Transcriptomic Responses

Modeling neurodegenerative conditions in neural organoids presents a potential complement to existing preclinical translation pipelines. Prior neural organoid models have generally relied on human induced pluripotent stem cell (iPSC) lines containing disease-relevant alleles. However, this strategy limits temporal co...

A. Kjar, Hyosung Kim, Madeline R. Spetz et al. · 0 citations
Open access Sep 2026

Charting confidence in white matter brain charts: enabling study planning through stability validation

Abstract. Purpose Normative modeling of quantitative brain measurements is being widely adopted as a promising method for charting population-level developmental trajectories and identifying abnormalities in groups and individuals. Generalized additive models for location, scale, and shape (GAMLSS) are a statistical fr...

Michael E. Kim, G. Rudravaram, Adam M. Saunders et al. · 0 citations
Open access Sep 2026

Female-Biased IL-17–STAT3 Signaling Marks Dementia-Associated Microglial Inflammation in Alzheimer’s Disease

INTRODUCTION Alzheimer’s disease (AD) disproportionately affects women, but the underlying mechanisms are not fully understood. We compare sex-specific molecular changes across AD with and without dementia at single-cell resolution. METHODS We performed sex-stratified single-nucleus transcriptomic analysis of human AD...

Nourhan Abdelfattah, Reece Kang, Dante Jimenez et al. · 0 citations
Open access Aug 2026

A multiancestry polygenic risk score for Alzheimer’s disease is associated with cognitive decline and neuropathological hallmarks in diverse populations

An APOE-independent polygenic risk score for Alzheimer’s disease derived from multiancestry GWAS summary statistics shows consistent associations with cognitive, imaging, biomarker and neuropathological features in diverse populations.

N. Kurniansyah, S. Tasaki, H. Rehman et al. · 0 citations
Open access Sep 2026

Lifespan single-cell transcriptomic atlas of the human prefrontal cortex

A single-nucleus transcriptomic atlas spanning the human lifespan is used to show that the dorsolateral prefrontal cortex exhibits non-linear, cell-type-specific transcriptional trajectories characterized by dynamic remodelling during development, relative stability in midlife and selective molecular reactivation in la...

Hui Yang, Tereza Clarence, Madeline R. Scott et al. · 4 citations
Open access Sep 2026

Single-cell atlas of transcriptomic vulnerability across brain disorders

A population-scale single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex provides a perspective of the transcriptomic landscape in neurodegenerative and neuropsychiatric disorders, and offers potential targets for therapeutic intervention.

Donghoon Lee, Mikaela Koutrouli, Nicolas Y. Masse et al. · 6 citations
Preprint Aug 2026

GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning

GenFAR, a modular deep learning framework that learns general, clinically informed features from brain MRIs, is introduced, showing that using the learned feature representation can substantially increase the sample efficiency of secondary deep learning training tasks and models, as well as improve their accuracy.

V. Bashyam, G. Erus, Jun-Hao Wen et al. · 0 citations
Preprint Sep 2026

Bayesian Variable Selection for High-Dimensional Predictors with Missing Psychometric Outcomes

High-dimensional, multimodal predictors and partially observed multivariate outcomes are common in psychometric research. However, existing regularization methods often do not accommodate hierarchical predictor structures and are primarily designed for univariate outcomes. We propose SHIM, a Bayesian framework for stru...

Zong-Yue Teng, Shu-Jie Ma, T. Hohman et al. · 0 citations
#small language model Open access Sep 2026

Arterial Spin Labeling Hemodynamic Indices Relate to Cognitive and Small Vessel Disease Trajectories Over 11 Years

ASL-sCoV may serve as an important hemodynamic measure for identifying perfusion deficits tied to SVD burden and progression and could provide substantial insight into the longitudinal clinical consequences of SVD.

W. Robb, Ava M. Santner, Pan-Pan Zhang et al. · 0 citations
Open access Jul 2026

Prognostic Value of Blood-Based P-Tau217 Levels for Progression to Cognitive Impairment.

Higher plasma p-tau217 levels were consistently associated with increased risk of clinical progression and accelerated cognitive decline, and support the potential of p-tau217 for prognostic model development, with direct implications for future trial design.

R. Buckley, D. Townsend, C. Birkenbihl et al. · 3 citations

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