Recursive Cluster Elimination Based Support Vector Machine for Disease State Prediction Using Resting State Functional and Effective Brain Connectivity

PLoS ONE - United States
doi 10.1371/journal.pone.0014277
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Random Support Vector Machine Cluster Analysis of Resting-State fMRI in Alzheimer's Disease

PLoS ONE
Multidisciplinary
2018English

Individualized Prediction of Trait Narcissism From Whole-Brain Resting-State Functional Connectivity

Human Brain Mapping
Nuclear MedicineRadiologyUltrasound TechnologyAnatomyRadiologicalNeurologyImaging
2018English

Whole Brain Functional Connectivity Using Phase Locking Measures of Resting State Magnetoencephalography

Frontiers in Neuroscience
Neuroscience
2014English

Resting-State Functional Connectivity Imaging of the Mouse Brain Using Photoacoustic Tomography

2014English

CSF Proteins and Resting-State Functional Connectivity in Parkinson Disease

Neurology
Neurology
2015English

Decoding Lifespan Changes of the Human Brain Using Resting-State Functional Connectivity MRI

PLoS ONE
Multidisciplinary
2012English

Predicting Personality From Network-Based Resting-State Functional Connectivity

Brain Structure and Function
AnatomyNeuroscienceHistology
2018English

Sleep State Modulates Resting-State Functional Connectivity in Neonates

Frontiers in Neuroscience
Neuroscience
2020English

Approaches to Local Connectivity in Autism Using Resting State Functional Connectivity MRI

Frontiers in Human Neuroscience
Mental HealthNeuropsychologyPhysiological PsychologyNeurologyBehavioral NeurosciencePsychiatryBiological Psychiatry
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy