A theoretical framework, a partial correlation-based functional connectivity (PC-FC) analysis to functional near-infrared spectroscopy (fNIRS) data, is proposed. This is based on generating a common background signal from a high passed version of fNIRS data averaged over all channels as the regressor in computing the PC between pairs of channels. This approach has been employed to real data collected during a Stroop task. The results show a strong significance in the global efficiency (GE) metric computed by the PC-FC analysis for neutral, congruent, and incongruent stimuli (NS, CS, IcS; GEN=0.10±0.009, GEC=0.11±0.01, GEIC=0.13±0.015, p=0.0073). A positive correlation (r=0.729 and p=0.0259) is observed between the interference of reaction times (incongruent-neutral) and interference of GE values (GEIC-GEN) computed from [HbO] signals.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1117/1.JBO.22.12.126003 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies.
Epigenetics
December 2024
Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
To distinguish DNA methylation (DNAm) from cell proportion changes in whole placental villous tissue research, we developed a robust cell type-specific DNAm reference to estimate cell composition. We collated new and existing cell type DNAm profiles quantified via Illumina EPIC or 450k microarrays. To estimate cell composition, we deconvoluted whole placental samples ( = 36) with robust partial correlation based on the top 30 hyper- and hypomethylated sites identified per cell type.
View Article and Find Full Text PDFSpatiotemporal analysis of F-actin polymerization with micropillar arrays reveals synchronization between adhesion sites.
Mol Biol Cell
December 2024
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
We repurposed micropillar arrays to quantify spatiotemporal inter-adhesion communication. Following the observation that integrin adhesions formed around pillar tops we relied on the precise repetitive spatial control of the pillars to reliably monitor F-actin dynamics in mouse embryonic fibroblasts as a model for spatiotemporal adhesion-related intracellular signaling. Using correlation-based analyses, we revealed localized information flows propagating between adjacent pillars that were integrated over space and time to synchronize the adhesion dynamics within the entire cell.
View Article and Find Full Text PDFFunctional connectivity across the human subcortical auditory system using an autoregressive matrix-Gaussian copula graphical model approach with partial correlations.
Imaging Neurosci (Camb)
August 2024
The University of Texas at Austin, Department of Statistics and Data Sciences, Austin, TX 78712, USA.
The auditory system comprises multiple subcortical brain structures that process and refine incoming acoustic signals along the primary auditory pathway. Due to technical limitations of imaging small structures deep inside the brain, most of our knowledge of the subcortical auditory system is based on research in animal models using invasive methodologies. Advances in ultrahigh-field functional magnetic resonance imaging (fMRI) acquisition have enabled novel noninvasive investigations of the human auditory subcortex, including fundamental features of auditory representation such as tonotopy and periodotopy.
View Article and Find Full Text PDFRobust prediction of colorectal cancer via gut microbiome 16S rRNA sequencing data.
J Med Microbiol
October 2024
Center for Mathematics and Applications (NOVA Math), NOVA School of Science and Technology, Caparica, Portugal.
The study addresses the challenge of utilizing human gut microbiome data for the early detection of colorectal cancer (CRC). The research emphasizes the potential of using machine learning techniques to analyze complex microbiome datasets, providing a non-invasive approach to identifying CRC-related microbial markers. The primary hypothesis is that a robust machine learning-based analysis of 16S rRNA microbiome data can identify specific microbial features that serve as effective biomarkers for CRC detection, overcoming the limitations of classical statistical models in high-dimensional settings.
View Article and Find Full Text PDFUnraveling pain experience and catastrophizing after cognitive behavioral therapy.
Sci Rep
July 2024
Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan.
Pain experiences are often complex with catastrophic cognitions, emotions, and behaviors. Cognitive behavioral therapists share the work of unraveling these complex experiences with their patients. However, the change process underlying the unraveling of the pain experience have not yet been quantified.
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!