This paper describes a method for estimating a set of spatial components (brain maps) and temporal components (waveforms) of brain potentials. These components play the role of bases of a coordinate system, in the sense that the brain potentials of any subject can be represented as superpositions of these components. The representation is unique given the spatial and temporal components, and this decomposition is particularly appealing for comparing the brain potentials of different subjects (say alcoholics and controls). It can also be used for single trial modeling, clinical classification of patients, and data filtering. The method is based on the topographic component model (TCM, Möcks 1988) which models brain potentials in a trilinear form. We extend the TCM in two aspects. First, the diagonal amplitude matrix is replaced by a general loading matrix based on some neurophysiological considerations. Secondly, the number of spatial components and the number of temporal components can be different. The spatial components and temporal components are obtained respectively by performing singular value decomposition (SVD). This method is illustrated with visual P3 data.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1023/a:1023455404934 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Investigation of causal associations between cerebral cortical structure and Barrett's esophagus: insights from Mendelian randomization and meta-analysis.
J Thorac Dis
December 2024
Surgical Department, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Background: Barrett's esophagus (BE) is a precancerous condition often associated with esophageal adenocarcinoma, influenced by both genetic and environmental factors. However, there is controversy regarding the causal relationship between cerebral cortical structures and BE, with recent studies suggesting a potential neurobiological component to its multifactorial etiology. This study aims to clarify this relationship by utilizing Mendelian randomization (MR) analysis to investigate the potential causal effects of cortical structure variations on BE risk.
View Article and Find Full Text PDFEffects of therapeutic alliance on patients with major depressive disorder: a literature review.
Front Psychol
January 2025
Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Therapeutic alliance refers to the collaborative relationship between a therapist and a patient, a concept widely explored in clinical research. It has emerged as a crucial component of effective psychotherapeutic interventions, particularly in the treatment of major depressive disorder (MDD), where its role appears to be multifaceted. In this context, we reviewed the main literature on the role of therapeutic alliance in MDD.
View Article and Find Full Text PDFThe concentrations of extracellular and intracellular signaling molecules, such as dopamine and cAMP, change over both fast and slow timescales and impact downstream pathways in a cell-type specific manner. Fluorescence sensors currently used to monitor such signals are typically optimized to detect fast, relative changes in concentration of the target molecule. They are less well suited to detect slowly-changing signals and rarely provide absolute measurements of either fast and slow signaling components.
View Article and Find Full Text PDFIdentifying Complex Scheduling Patterns Among Patients With Cancer With Transportation and Housing Needs: Feasibility Pilot Study.
JMIR Cancer
January 2025
MedStar Health Research Institute, 3007 Tilden St, Washington, DC, 20008, United States, 1 202-244-9807.
Background: Patients with cancer frequently encounter complex treatment pathways, often characterized by challenges with coordinating and scheduling appointments at various specialty services and locations. Identifying patients who might benefit from scheduling and social support from community health workers or patient navigators is largely determined on a case-by-case basis and is resource intensive.
Objective: This study aims to propose a novel algorithm to use scheduling data to identify complex scheduling patterns among patients with transportation and housing needs.
Rapid urbanization decelerates regional net anthropogenic phosphorus input: Evidence from the Chengdu-Chongqing urban agglomeration in China.
J Environ Manage
January 2025
Beijing Key Lab for Source Control Technology of Water Pollution, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China; Engineering Research Center for Water Pollution Source Control & Eco-remediation, College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China. Electronic address:
Mitigating the pressure of regional phosphorus (P) inputs driven by human activities is essential for the prevention and control of non-point source pollution as well as for effective environmental management. This study emploied the net anthropogenic phosphorus input (NAPI) model and the coupling coordination degree model (CCDM) to quantitatively analyze the spatiotemporal evolution of phosphorus inputs and urbanization levels in the Chengdu-Chongqing urban agglomeration (CCUA) in Southwest China from 2011 to 2022. By integrating urbanization, socioeconomic and land use data, we identified key driving factors and specific indicators influencing changes in regional phosphorus inputs and their components.
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!