Neuroimage
The Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in BioMedicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China. Electronic address:
Published: April 2015
Many important problems in the analysis of neuroimages can be formulated as discovering the relationship between two sets of variables, a task for which linear techniques such as canonical correlation analysis (CCA) have been commonly used. However, to further explore potential nonlinear processes that might co-exist with linear ones in brain function, a more flexible method is required. Here, we propose a new unsupervised and data-driven method, termed the eigenspace maximal information canonical correlation analysis (emiCCA), which is capable of automatically capturing the linear and/or nonlinear relationships between various data sets. A simulation confirmed the superior performance of emiCCA in comparison with linear CCA and kernel CCA (a nonlinear version of CCA). An emiCCA framework for functional magnetic resonance imaging (fMRI) data processing was designed and applied to data from a real motor execution fMRI experiment. This analysis uncovered one linear (in primary motor cortex) and a few nonlinear networks (e.g., in the supplementary motor area, bilateral insula, and cerebellum). This suggests that these various task-related brain areas are part of networks that also contribute to the execution of movements of the hand. These results suggest that emiCCA is a promising technique for exploring various data.
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http://dx.doi.org/10.1016/j.neuroimage.2015.01.006 | DOI Listing |
Cancers (Basel)
December 2024
Department of Oncology-Pathology, Karolinska Institutet, 171 64 Solna, Sweden.
The epithelial-to-mesenchymal transition (EMT) is a common feature in early cancer invasion. Increased vimentin is a canonical marker of the EMT; however, the role of vimentin in EMT remains unknown. To clarify this, we induced EMT in lung cancer cells with TGF-β1, followed by treatment with the vimentin-targeting drug ALD-R491, live-cell imaging, and quantitative proteomics.
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December 2024
College of Medicine, Department of Nursing, Chung Shan Medical University. Chung Shan Medical University Hospital, No. 110, Section 1, Jianguo North Road., Taichung, 40201.Taiwan. Electronic address:
Purpose: Negative beliefs about cancer pain and morphine are detrimental to pain interpretation. Patients with high resourcefulness often proactively address problems to cope with stress, and establish problem-solving strategies.The aim of the project is to investigate the impact of resourcefulness and pain interpretation on cancer-related pain control.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Chemical Oceanographic Division, CSIR-National Institute of Oceanography, Panaji, Goa, 403004, India.
In the present study, we investigated the dinoflagellate assemblages in the upper water column (< 150-m depth), focusing on the suboxic waters of the eastern Arabian Sea (EAS) along 68°E from 8°N to 21°N during the southwest monsoon 2020 (SWM-2020). Dinoflagellate abundance was higher in the upper water column (0-80-m depth, mean ± SD = 411 ± 903 cells L) compared to deeper waters (80-150-m depth, mean ± SD = 128 ± 216 cells L). Among 11 identified taxonomic dinoflagellate orders, Peridinales were predominant in the upper waters column (71%, mean ± SD = 285 ± 858 cells L).
View Article and Find Full Text PDFChaos
January 2025
School of Mathematical & Computer Sciences, Heriot-Watt University, EH14 4AS Edinburgh, United Kingdom.
Time-evolving graphs arise frequently when modeling complex dynamical systems such as social networks, traffic flow, and biological processes. Developing techniques to identify and analyze communities in these time-varying graph structures is an important challenge. In this work, we generalize existing spectral clustering algorithms from static to dynamic graphs using canonical correlation analysis to capture the temporal evolution of clusters.
View Article and Find Full Text PDFNeuropsychopharmacology
January 2025
Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Frederiksberg, Denmark.
Individuals with bipolar disorder (BD) show heterogeneity in clinical, cognitive, and daily functioning characteristics, which challenges accurate diagnostics and optimal treatment. A key goal is to identify brain-based biomarkers that inform patient stratification and serve as treatment targets. The objective of the present study was to apply a data-driven, multivariate approach to quantify the relationship between multimodal imaging features and behavioral phenotypes in BD.
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