Profiling immune responses across several dimensions, including time, patients, molecular features, and tissue sites, can deepen our understanding of immunity as an integrated system. These studies require new analytical approaches to realize their full potential. We highlight recent applications of tensor methods and discuss several future opportunities.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411872 | PMC |
| http://dx.doi.org/10.1016/j.it.2023.03.003 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Understanding Cognitive Aging Through White Matter: A Fixel-Based Analysis.
Hum Brain Mapp
December 2024
Department of Psychology, Northeastern University, Boston, Massachusetts, USA.
Diffusion-weighted imaging (DWI) has been frequently used to examine age-related deterioration of white matter microstructure and its relationship to cognitive decline. However, typical tensor-based analytical approaches are often difficult to interpret due to the challenge of decomposing and (mis)interpreting the impact of crossing fibers within a voxel. We hypothesized that a novel analytical approach capable of resolving fiber-specific changes within each voxel (i.
View Article and Find Full Text PDFThe polygenic hazard score mediates the association between plasma neurofilament light chain and brain morphometry in dementia spectrum.
Arch Gerontol Geriatr
March 2025
Department of Diagnostic Radiology and Biomedical Imaging, Yale School of Medicine, CT, USA.
Article Synopsis
- Blood-based biomarkers like plasma neurofilament light chain (pNfL) are vital for understanding Alzheimer's disease (AD) and their relationship with brain imaging techniques, particularly tensor-based morphometry (TBM).
- The study analyzed data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) involving 567 participants to explore how polygenic hazard score (PHS) influences the link between pNfL and TBM findings.
- Results indicated that PHS mediates the relationship between pNfL levels and TBM measures in AD, suggesting that PHS should be considered in future research on AD biomarkers and imaging outcomes.
Structural brain connectivity does not associate with childhood trauma in individuals with schizophrenia.
J Psychiatr Res
December 2024
Center for Neuroimaging, Cognition and Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland.
Background: Schizophrenia is a brain dysconnectivity disorder. However, it is not well understood whether the experience of childhood trauma (CT) affects dysconnectivity in individuals with schizophrenia (SZ). Using a network-based approach, we examined whether self-reported CT would explain additional variance compared to whole-brain topology and structural connectivity changes in SZ versus healthy controls (HC).
View Article and Find Full Text PDFA comprehensive investigation of the associations between tensor-based morphometry indices and executive functions, memory, language, and visuospatial abilities in patients in the Alzheimer's disease continuum.
Clin Neurol Neurosurg
November 2024
Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. Electronic address:
Objectives: Based on the literature, tensor-based morphometry (TBM) parameters were related to neurocognitive functions such as memory, learning, language ability, and executive functions. The present study aims to evaluate the associations between TBM indices with executive functions, memory, language, and visuospatial abilities and the value of TBM in the clinical diagnosis of Alzheimer's disease (AD) among individuals with Alzheimer's disease continuum and mild cognitive impairment (MCI) from Alzheimer's Disease Neuroimaging Initiative (ADNI).
Methods: The authors used ADNI-memory (ADNI-MEM), ADNI-executive functions (ADNI-EF), ADNI-language (ADNI-LAN), and ADNI-visuospatial (ADNI-VS) composite scores.
Multiscale neural dynamics in sleep transition volatility across age scales: a multimodal EEG-EMG-EOG analysis of temazepam effects.
Geroscience
September 2024
School of Electrical and Computer Engineering, University of Oklahoma, Gallogly College of Engineering, Norman, OK, 73019, USA.
Recent advances in computational modeling techniques have facilitated a more nuanced understanding of sleep neural dynamics across the lifespan. In this study, we tensorize multiscale multimodal electroencephalogram (EEG), electromyogram (EMG), and electrooculogram (EOG) signals and apply Generalized Autoregressive Conditional Heteroskedasticity (GARCH) modeling to quantify interactions between age scales and the use of pharmacological sleep aids on sleep stage transitions. Our cohort consists of 22 subjects in a crossover design study, where each subject received both a sleep aid and a placebo in different sessions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!