Results 11 to 20 of about 27,806 (135)

Independent vector analysis (IVA) for group fMRI processing of subcortical area [PDF]

International Journal of Imaging Systems and Technology, 2008
AbstractDuring functional MRI (fMRI) studies, blood oxygenation‐level dependent (BOLD) signal associated with neuronal activity acquired from multiple individuals are subject to the derivation of group‐averaged brain activation patterns. Unlike other cortical areas, subcortical areas such as the thalamus and basal ganglia often manifest smaller ...
Jong-Hwan, Lee, Te-Won, Lee, Ferenc A, Jolesz, Seung-Schik, Yoo   +3 more
openaire   +3 more sources

Fusion of Multi-Task fMRI Data: Guided Solutions for IVA and Transposed IVA [PDF]

Sensors
Independent vector analysis (IVA) has emerged as a powerful tool for fusing and analyzing functional magnetic resonance imaging (fMRI) data. Applying IVA to multi-task fMRI data enhances analytical power by capturing the relationships across different ...
Emin Erdem Kumbasar, Hanlu Yang, Vince D. Calhoun, Tülay Adalı   +3 more
doaj   +2 more sources

Large-Scale Independent Vector Analysis (IVA-G) via Coresets [PDF]

IEEE Transactions on Signal Processing
Joint blind source separation (JBSS) involves the factorization of multiple matrices, i.e. 揹atasets , into 搒ources that are statistically dependent across datasets and independent within datasets. Despite this usefulness for analyzing multiple datasets, JBSS methods suffer from considerable computational costs and are typically intractable for ...
Ben Gabrielson, Hanlu Yang, Trung Vu, Vince Calhoun, Tülay Adali   +4 more
openaire   +2 more sources

A Survey of Optimization Methods for Independent Vector Analysis in Audio Source Separation

Sensors, 2023
With the advent of the era of big data information, artificial intelligence (AI) methods have become extremely promising and attractive. It has become extremely important to extract useful signals by decomposing various mixed signals through blind source
Ruiming Guo, Zhongqiang Luo, Mingchun Li
doaj   +3 more sources

Independent Vector Analysis Inspired Amateur Drone Detection Through Acoustic Signals

IEEE Access, 2021
Detection of amateur drones (AmDrs) is mandatory requirement of various defence organizations and is also required to protect human life. In literature, various researchers contributed in this regard and developed different algorithms utilizing video ...
Zahoor Uddin, Jamel Nebhen, Muhammad Altaf, Farooq Alam Orakzai   +3 more
doaj   +3 more sources

Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis [PDF]

IEEE Access
Large-scale functional magnetic resonance imaging (fMRI) datasets provide exciting opportunities for understanding and improving brain health. Data-driven techniques such as independent component analysis (ICA) and independent vector analysis (IVA) have ...
Lucas Gois, Hanlu Yang, Trung Vu, Weixin Wang, Denis Fantinato, Aline Neves, Vince D. Calhoun, Tulay Adali   +7 more
doaj   +2 more sources

Independent vector analysis (IVA): Multivariate approach for fMRI group study

NeuroImage, 2008
Independent component analysis (ICA) of fMRI data generates session/individual specific brain activation maps without a priori assumptions regarding the timing or pattern of the blood-oxygenation-level-dependent (BOLD) signal responses. However, because of a random permutation among output components, ICA does not offer a straightforward solution for ...
Jong-Hwan, Lee, Te-Won, Lee, Ferenc A, Jolesz, Seung-Schik, Yoo   +3 more
openaire   +4 more sources

Independent Vector Analysis for Feature Extraction in Motor Imagery Classification [PDF]

Sensors
Independent vector analysis (IVA) can be viewed as an extension of independent component analysis (ICA) to multiple datasets. It exploits the statistical dependency between different datasets through mutual information.
Caroline Pires Alavez Moraes, Lucas Heck dos Santos, Denis Gustavo Fantinato, Aline Neves, Tülay Adali   +4 more
doaj   +2 more sources

Resting-state fMRI dynamic functional network in young children with Tourette syndrome [PDF]

Frontiers in Neurology
IntroductionTourette syndrome (TS) is a neurodevelopmental disorder characterized by involuntary motor and phonic tics, with diagnosis often delayed due to the 1-year symptom duration criterion.
Haode Wang, Yue Liu, Yue Liu, Chen Zhang, Jingtao Lian, Lei Yang, Yun Peng   +6 more
doaj   +2 more sources

Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia

NeuroImage, 2020
The extraction of common and distinct biomedical signatures among different populations allows for a more detailed study of the group-specific as well as distinct information of different populations.
Qunfang Long, Suchita Bhinge, Vince D. Calhoun, Tülay Adali   +3 more
doaj   +3 more sources