Satoru Hayasaka

发表

Ramon Casanova, Ryali Srikanth, Aaron H. Baer, 2006 .

Satoru Hayasaka, 2011, Neural Networks.

Assessing the consistency of community structure in complex networks

Paul J. Laurienti, Satoru Hayasaka, Karen E. Joyce, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data

Paul J. Laurienti, Satoru Hayasaka, S. Hayasaka, 2010, NeuroImage.

A permutation testing framework to compare groups of brain networks

Paul J. Laurienti, Satoru Hayasaka, Sean L. Simpson, 2013, Front. Comput. Neurosci..

Anti-Fragmentation of Resting-State Functional Magnetic Resonance Imaging Connectivity Networks with Node-Wise Thresholding

Satoru Hayasaka, S. Hayasaka, 2017, Brain Connect..

Consistency of Network Modules in Resting-State fMRI Connectome Data

Paul J. Laurienti, Satoru Hayasaka, Matthew R. Steen, 2012, PloS one.

Development of PowerMap: a Software Package for Statistical Power Calculation in Neuroimaging Studies

Satoru Hayasaka, Karen E. Joyce, S. Hayasaka, 2012, Neuroinformatics.

Nonstationary cluster-size inference with random field and permutation methods

Thomas E. Nichols, Satoru Hayasaka, K. Luan Phan, 2004, NeuroImage.

Examining the relationship between brain function and structure on voxel-by-voxel-basis

Satoru Hayasaka, S. Hayasaka, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, 2014, Brain Connect..

Universal fractal scaling of self-organized networks.

Satoru Hayasaka, Paul J Laurienti, Jonathan H Burdette, 2010, Physica A.

Validating and improving cluster size inference in brain image analysis.

Satoru Hayasaka, 2003 .

Selecting an exponential random graph model for complex brain networks

Paul J. Laurienti, Satoru Hayasaka, Sean L. Simpson, 2010 .

Validating cluster size inference: random field and permutation methods

Thomas E. Nichols, Satoru Hayasaka, S. Hayasaka, 2003, NeuroImage.

Complexity in a brain-inspired agent-based model

Paul J. Laurienti, Satoru Hayasaka, Karen E. Joyce, 2012, Neural Networks.

Functional Brain Networks Formed Using Cross-Sample Entropy Are Scale Free

Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, 2014, Brain Connect..

The Ubiquity of Small-World Networks

Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, 2011, Brain Connect..

The Human Functional Brain Network Demonstrates Structural and Dynamical Resilience to Targeted Attack

Paul J. Laurienti, Satoru Hayasaka, Karen E. Joyce, 2013, PLoS Comput. Biol..

A non-parametric approach for co-analysis of multi-modal brain imaging data: Application to Alzheimer's disease

Norbert Schuff, Michael Weiner, John Kornak, 2006, NeuroImage.

The Brain as a Complex System: Using Network Science as a Tool for Understanding the Brain

Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, 2011, Brain Connect..

Reproducibility of Graph Metrics in fMRI Networks

Paul J. Laurienti, Satoru Hayasaka, Sean L. Simpson, 2010, Front. Neuroinform..

Functional connectivity networks with and without global signal correction

Satoru Hayasaka, 2013 .

Applying capacity analyses to psychophysical evaluation of multisensory interactions

Paul J. Laurienti, Ann M. Peiffer, Satoru Hayasaka, 2010, Inf. Fusion.

Functional connectivity networks with and without global signal correction

Satoru Hayasaka, S. Hayasaka, 2013, bioRxiv.

Universal fractal scaling of self-organized networks

Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, 2010 .

Combining voxel intensity and cluster extent with permutation test framework

Thomas E. Nichols, Satoru Hayasaka, Thomas Nichols, 2004, NeuroImage.

Biological parametric mapping: A statistical toolbox for multimodality brain image analysis

Ramon Casanova, Ryali Srikanth, Paul J. Laurienti, 2007, NeuroImage.

Exponential Random Graph Modeling for Complex Brain Networks

Paul J. Laurienti, Satoru Hayasaka, Sean L. Simpson, 2010, PloS one.

Modularity maps reveal community structure in the resting human brain

Paul J. Laurienti, Satoru Hayasaka, Christina E. Hugenschmidt, 2009 .

Frontiers in Aging Neuroscience Aging Neuroscience

Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, 2022 .

Revealing a Brain Network Endophenotype in Families with Idiopathic Generalised Epilepsy

Satoru Hayasaka, Mark P. Richardson, John R. Terry, 2014, PloS one.

Patterns of age-related water diffusion changes in human brain by concordance and discordance analysis

Wang Zhan, Yu Zhang, Norbert Schuff, 2010, Neurobiology of Aging.

Explosive percolation in thresholded networks

Satoru Hayasaka, 2016 .

The effect of daily caffeine use on cerebral blood flow: How much caffeine can we tolerate?

Satoru Hayasaka, S. Hayasaka, R. Kraft, 2009, Human brain mapping.

A New Measure of Centrality for Brain Networks

Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, 2010, PloS one.

Oscillatory MEG Motor Activity Reflects Therapy-Related Plasticity in Stroke Patients

Satoru Hayasaka, Tony W Wilson, Lumy Sawaki, 2011, Neurorehabilitation and neural repair.

Closing the mind's eye: deactivation of visual cortex related to auditory task difficulty

Joseph A Maldjian, Ramon Casanova, Satoru Hayasaka, 2008, Neuroreport.

Remote spatiotemporally controlled and biologically selective permeabilization of blood-brain barrier.

Satoru Hayasaka, Youngkyoo Jung, Anirudh Sattiraju, 2015, Journal of controlled release : official journal of the Controlled Release Society.