Cargando…

DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI

Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more attention because of its effectiveness, simplicity and non-invasiveness in exploration of the intrinsic functional architecture of the human brain. However, user-friendly toolbox for “pipeline” data analysis of re...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chao-Gan, Yan, Yu-Feng, Zang
Formato:	Texto
Lenguaje:	English
Publicado:	Frontiers Research Foundation 2010
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889691/ https://www.ncbi.nlm.nih.gov/pubmed/20577591 http://dx.doi.org/10.3389/fnsys.2010.00013

Ejemplares similares

NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline
por: Enguix, Vicente, et al.
Publicado: (2022)

MALINI (Machine Learning in NeuroImaging): A MATLAB toolbox for aiding clinical diagnostics using resting-state fMRI data
por: Lanka, Pradyumna, et al.
Publicado: (2020)

Frequency-Aware Summarization of Resting-State fMRI Data
por: Yaesoubi, Maziar, et al.
Publicado: (2020)

Editorial: Temporal Features in Resting State fMRI Data
por: Zhang, Nanyin, et al.
Publicado: (2020)

Network Connectivity in Epilepsy: Resting State fMRI and EEG–fMRI Contributions
por: Centeno, Maria, et al.
Publicado: (2014)

Vigilance Effects in Resting-State fMRI
por: Liu, Thomas T., et al.
Publicado: (2020)

Prediction of Task-Related BOLD fMRI with Amplitude Signatures of Resting-State fMRI
por: Kannurpatti, Sridhar S., et al.
Publicado: (2012)

Using Coherence to Measure Regional Homogeneity of Resting-State fMRI Signal
por: Liu, Dongqiang, et al.
Publicado: (2010)

Resting-State fMRI and Developmental Systems Neuroscience
por: Uddin, Lucina Q.
Publicado: (2011)

Resting State fMRI: Going Through the Motions
por: Maknojia, Sanam, et al.
Publicado: (2019)

Editorial: Origins of the Resting-State fMRI Signal
por: Chen, J. Jean, et al.
Publicado: (2020)

State-Dependent Effective Connectivity in Resting-State fMRI
por: Park, Hae-Jeong, et al.
Publicado: (2021)

Higher Sensitivity and Reproducibility of Wavelet-Based Amplitude of Resting-State fMRI
por: Luo, Fei-Fei, et al.
Publicado: (2020)

MATLAB Toolboxes for Reference Electrode Standardization Technique (REST) of Scalp EEG
por: Dong, Li, et al.
Publicado: (2017)

Neuroscience Information Toolbox: An Open Source Toolbox for EEG–fMRI Multimodal Fusion Analysis
por: Dong, Li, et al.
Publicado: (2018)

On the generalizability of resting-state fMRI machine learning classifiers
por: Huf, Wolfgang, et al.
Publicado: (2014)

Sampling Rate Effects on Resting State fMRI Metrics
por: Huotari, Niko, et al.
Publicado: (2019)

Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
por: Gu, Yameng, et al.
Publicado: (2019)

Classification and Extraction of Resting State Networks Using Healthy and Epilepsy fMRI Data
por: Vergun, Svyatoslav, et al.
Publicado: (2016)

NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis
por: Hou, Xin, et al.
Publicado: (2021)

Influences of Head Motion Regression on High-Frequency Oscillation Amplitudes of Resting-State fMRI Signals
por: Yuan, Bin-Ke, et al.
Publicado: (2016)

BRANT: A Versatile and Extendable Resting-State fMRI Toolkit
por: Xu, Kaibin, et al.
Publicado: (2018)

Mapping dopaminergic projections in the human brain with resting-state fMRI
por: Oldehinkel, Marianne, et al.
Publicado: (2022)

Quality control in resting-state fMRI: the benefits of visual inspection
por: Lepping, Rebecca J., et al.
Publicado: (2023)

Similarities and differences between intermittent and continuous resting-state fMRI
por: Beresniewicz, Justyna, et al.
Publicado: (2023)

MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation
por: Sun, Kaijia, et al.
Publicado: (2021)

Network Scaling Effects in Graph Analytic Studies of Human Resting-State fMRI Data
por: Fornito, Alex, et al.
Publicado: (2010)

Open Access: The Effect of Neurorehabilitation on Multiple Sclerosis—Unlocking the Resting-State fMRI Data
por: Bučková, Barbora, et al.
Publicado: (2021)

High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data
por: Du, Wei, et al.
Publicado: (2012)

PAIR Comparison between Two Within-Group Conditions of Resting-State fMRI Improves Classification Accuracy
por: Zhou, Zhen, et al.
Publicado: (2018)

An isotropic EPI database and analytical pipelines for rat brain resting-state fMRI
por: Lee, Sung-Ho, et al.
Publicado: (2021)

Amplitude differences in high-frequency fMRI signals between eyes open and eyes closed resting states
por: Yuan, Bin-Ke, et al.
Publicado: (2014)

Influence of ROI selection on resting state functional connectivity: an individualized approach for resting state fMRI analysis
por: Sohn, William S., et al.
Publicado: (2015)

3D interactive tractography-informed resting-state fMRI connectivity
por: Chamberland, Maxime, et al.
Publicado: (2015)

Cortical connective field estimates from resting state fMRI activity
por: Gravel, Nicolás, et al.
Publicado: (2014)

An empirical Bayes normalization method for connectivity metrics in resting state fMRI
por: Chen, Shuo, et al.
Publicado: (2015)

Identifying Respiration-Related Aliasing Artifacts in the Rodent Resting-State fMRI
por: Pais-Roldán, Patricia, et al.
Publicado: (2018)

Apathy and Executive Function in Healthy Elderly—Resting State fMRI Study
por: Kawagoe, Toshikazu, et al.
Publicado: (2017)

Origin of the Time Lag Phenomenon and the Global Signal in Resting-State fMRI
por: Amemiya, Shiori, et al.
Publicado: (2020)

Disrupted Brain Connectivity Networks in Aphasia Revealed by Resting-State fMRI
por: Chen, Xiaoyun, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_l7cfjsmihrvurievj3ngegm3h6