Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity
about
Investigating Focal Connectivity Deficits in Alzheimer's Disease Using Directional Brain Networks Derived from Resting-State fMRI.Computational neuroscience approach to biomarkers and treatments for mental disorders.Time-varying spectral power of resting-state fMRI networks reveal cross-frequency dependence in dynamic connectivity.Data-Driven Subgroups in Depression Derived from Directed Functional Connectivity Paths at Rest.Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study.Antidepressant Effects of Electroconvulsive Therapy Unrelated to the Brain's Functional Network Connectivity alterations at an Individual LevelLearning stable and predictive network-based patterns of schizophrenia and its clinical symptoms.A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.Identifying disease foci from static and dynamic effective connectivity networks: Illustration in soldiers with trauma.Changing brain connectivity dynamics: From early childhood to adulthood.Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data.Brain networks of the imaginative mind: Dynamic functional connectivity of default and cognitive control networks relates to openness to experience.Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia.Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions.Ten Key Observations on the Analysis of Resting-state Functional MR Imaging Data Using Independent Component Analysis.The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity.Opinion Mining for Educational Video Lectures.Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy.An information theory framework for dynamic functional domain connectivity.Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition.Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies.Quasi-Periodic Patterns of Neural Activity improve Classification of Alzheimer's Disease in Mice.Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but ChallengingData Driven Classification Using fMRI Network Measures: Application to SchizophreniaBrain networks of happiness: dynamic functional connectivity among the default, cognitive and salience networks relates to subjective well-being
P2860
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P2860
Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Classification of schizophreni ...... -state fMRI brain connectivity
@en
Classification of schizophreni ...... -state fMRI brain connectivity
@nl
type
label
Classification of schizophreni ...... -state fMRI brain connectivity
@en
Classification of schizophreni ...... -state fMRI brain connectivity
@nl
prefLabel
Classification of schizophreni ...... -state fMRI brain connectivity
@en
Classification of schizophreni ...... -state fMRI brain connectivity
@nl
P2093
P2860
P50
P1433
P1476
Classification of schizophreni ...... -state fMRI brain connectivity
@en
P2093
Mohammad R Arbabshirani
Mustafa S Cetin
Robyn Miller
P2860
P304
P356
10.1016/J.NEUROIMAGE.2016.04.051
P407
P577
2016-04-23T00:00:00Z