Showing results (431-440 of 1,265) with videos related to

Sort By:
Pageof 127
Journal of Neuroscience Methods|March 24, 2015
Capturing subject variability in fMRI data: A graph-theoretical analysis of GICA vs. IVAJonathan Laney, Kelly P Westlake, Sai Ma, et al.
Human Brain Mapping|July 8, 2025
A Method for Estimating Dynamic Functional Network Connectivity Gradients (dFNGs) From ICA Captures Smooth Inter-Network ModulationNajme Soleimani, Armin Iraji, Theo G M van Erp, et al.
Biorxiv : the Preprint Server for Biology|September 24, 2024
Addressing Inconsistency in Functional Neuroimaging: A Replicable Data-Driven Multi-Scale Functional Atlas for Canonical Brain NetworksKyle M Jensen, Jessica A Turner, Lucina Q Uddin, et al.
Schizophrenia Research|September 19, 2015
The association of DNA methylation and brain volume in healthy individuals and schizophrenia patientsJingyu Liu, Peter Siyahhan Julnes, Jiayu Chen, et al.
Journal of Neuroscience Methods|February 20, 2017
Adaptive independent vector analysis for multi-subject complex-valued fMRI dataLi-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, et al.
IEEE Transactions on Bio-Medical Engineering|December 4, 2018
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ PredictionLi Xiao, Julia M Stephen, Tony W Wilson, et al.
Brain Connectivity|November 21, 2019
Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional Magnetic Resonance Imaging StudyAshkan Faghiri, Julia M Stephen, Yu-Ping Wang, et al.
Aperture Neuro|August 29, 2025
Application of hyperalignment to resting state data in individuals with psychosis reveals systematic changes in functional networks and identifies distinct clinical subgroupsZachary Anderson, Jessica A Turner, Yoni K Ashar, et al.
Human Brain Mapping|April 23, 2020
Decentralized dynamic functional network connectivity: State analysis in collaborative settingsBradley T Baker, Eswar Damaraju, Rogers F Silva, et al.
Schizophrenia Research|February 22, 2005
Voxel-based morphometry versus region of interest: a comparison of two methods for analyzing gray matter differences in schizophreniaNicole R Giuliani, Vince D Calhoun, Godfrey D Pearlson, et al.
Pageof 127