Network controllability asserts a perspective that the structure-the location of edges that connect nodes-of the network contains important information about fundamental characteristics of our ability to change the behavior that evolves on these networks. It can be used, for example, to determine the parts of the system that when influenced by outside controlling signals, can ultimately steer the behavior of the entire network. One of the challenges in utilizing the ideas from network controllability on real systems is that there is typically more than one potential solution (often many) suggested by the topology of the graph that perform equally well. Picking a single candidate from this degenerate solution set over others should be properly motivated, however, to-date our understanding of how these different options are related has been limited. In this work, we operationalize the existing notion of a dilation into a framework that provides clarity on the source of this control degeneracy and further elucidates many of the existing results surrounding degeneracy in the literature.
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http://dx.doi.org/10.1038/s41598-021-88529-5 | DOI Listing |
J Neurosurg
January 2025
Departments of1Biomedical Engineering.
Objective: Epilepsy is a common neurological disease affecting nearly 1% of the global population, and temporal lobe epilepsy (TLE) is the most common type. Patients experience recurrent seizures and chronic cognitive deficits that can impact their quality of life, ability to work, and independence. These cognitive deficits often extend beyond the temporal lobe and are not well understood.
View Article and Find Full Text PDFJCO Oncol Pract
January 2025
School of Nursing, Fudan University, Shanghai, China.
Purpose: To explore strategies related to cancer-related financial toxicity (FT) from the perspectives of cancer survivors and stakeholders in China and to evaluate their views within the context of the social ecological model (SEM).
Methods: Between March and July 2022, we conducted a descriptive qualitative study with semistructured interviews of 23 cancer survivors and 14 stakeholders. Qualitative content analysis on the basis of the SEM was used to analyze the data with NVivo 12.
PLoS One
January 2025
School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.
The cytotoxic T-lymphocyte antigen-4 (CTLA4) is essential in controlling T cell activity within the immune system. Thus, uncovering the molecular dynamics of single nucleotide polymorphisms (SNPs) within the CTLA4 gene is critical. We identified the non-synonymous SNPs (nsSNPs), examined their impact on protein stability, and identified the protein sequences associated with them in the human CTLA4 gene.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Zoology, University of Cambridge, Cambridge, UK.
The evolutionary origin of the vertebrate brain remains a major subject of debate, as its development from a dorsal tubular neuroepithelium is unique to chordates. To shed light on the evolutionary emergence of the vertebrate brain, we compared anterior neuroectoderm development across deuterostome species, using available single-cell datasets from sea urchin, amphioxus, and zebrafish embryos. We identified a conserved gene co-expression module, comparable to the anterior gene regulatory network (aGRN) controlling apical organ development in ambulacrarians, and spatially mapped it by multiplexed in situ hybridization to the developing retina and hypothalamus of chordates.
View Article and Find Full Text PDFPLoS One
January 2025
Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.
Altered neural signaling in fibromyalgia syndrome (FM) was investigated with functional magnetic resonance imaging (fMRI). We employed a novel fMRI network analysis method, Structural and Physiological Modeling (SAPM), which provides more detailed information than previous methods. The study involved brain fMRI data from participants with FM (N = 22) and a control group (HC, N = 18), acquired during a noxious stimulation paradigm.
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