Cargando…

Hand classification of fMRI ICA noise components

We present a practical “how-to” guide to help determine whether single-subject fMRI independent components (ICs) characterise structured noise or not. Manual identification of signal and noise after ICA decomposition is required for efficient data denoising: to train supervised algorithms, to check...

Descripción completa

Detalles Bibliográficos
Autores principales:	Griffanti, Ludovica, Douaud, Gwenaëlle, Bijsterbosch, Janine, Evangelisti, Stefania, Alfaro-Almagro, Fidel, Glasser, Matthew F., Duff, Eugene P., Fitzgibbon, Sean, Westphal, Robert, Carone, Davide, Beckmann, Christian F., Smith, Stephen M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Academic Press 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489418/ https://www.ncbi.nlm.nih.gov/pubmed/27989777 http://dx.doi.org/10.1016/j.neuroimage.2016.12.036

Ejemplares similares

Impact of automated ICA-based denoising of fMRI data in acute stroke patients
por: Carone, D., et al.
Publicado: (2017)

Investigations into within- and between-subject resting-state amplitude variations
por: Bijsterbosch, Janine, et al.
Publicado: (2017)

ICA-based denoising for ASL perfusion imaging
por: Carone, D., et al.
Publicado: (2019)

ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI
por: Feis, Rogier A., et al.
Publicado: (2015)

An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank
por: Smith, Stephen M, et al.
Publicado: (2021)

SARS-CoV-2 is associated with changes in brain structure in UK Biobank
por: Douaud, Gwenaëlle, et al.
Publicado: (2022)

Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations
por: Smith, Stephen M, et al.
Publicado: (2020)

Genome-wide association studies of brain imaging phenotypes in UK Biobank
por: Elliott, Lloyd T., et al.
Publicado: (2018)

The Quest for EEG Power Band Correlation with ICA Derived fMRI Resting State Networks
por: Meyer, Matthias Christoph, et al.
Publicado: (2013)

Corrigendum: The quest for EEG power band correlation with ICA derived fMRI resting state networks
por: Meyer, Matthias C., et al.
Publicado: (2014)

ICA-fNORM: Spatial Normalization of fMRI Data Using Intrinsic Group-ICA Networks
por: Khullar, Siddharth, et al.
Publicado: (2011)

Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference
por: Sundaresan, Vaanathi, et al.
Publicado: (2019)

High-Dimensional ICA Analysis Detects Within-Network Functional Connectivity Damage of Default-Mode and Sensory-Motor Networks in Alzheimer’s Disease
por: Dipasquale, Ottavia, et al.
Publicado: (2015)

Temporally and Spatially Constrained ICA of fMRI Data Analysis
por: Wang, Zhi, et al.
Publicado: (2014)

Comparing the reliability of different ICA algorithms for fMRI analysis
por: Wei, Pengxu, et al.
Publicado: (2022)

Dysfunctional effort-based decision-making underlies apathy in genetic cerebral small vessel disease
por: Le Heron, Campbell, et al.
Publicado: (2018)

Handedness, language areas and neuropsychiatric diseases: insights from brain imaging and genetics
por: Wiberg, Akira, et al.
Publicado: (2019)

De-noising with a SOCK can improve the performance of event-related ICA
por: Bhaganagarapu, Kaushik, et al.
Publicado: (2014)

Beyond Noise: Using Temporal ICA to Extract Meaningful Information from High-Frequency fMRI Signal Fluctuations during Rest
por: Boubela, Roland N., et al.
Publicado: (2013)

ICA of fMRI Studies: New Approaches and Cutting Edge Applications
por: Robinson, Simon Daniel, et al.
Publicado: (2013)

Effect of Spatial Smoothing on Task fMRI ICA and Functional Connectivity
por: Chen, Zikuan, et al.
Publicado: (2018)

Temporally constrained ICA with threshold and its application to fMRI data
por: Long, Zhiying, et al.
Publicado: (2019)

Recent developments in representations of the connectome
por: Bijsterbosch, Janine D., et al.
Publicado: (2021)

Data-driven analysis of simultaneous EEG/fMRI using an ICA approach
por: Schmüser, Lena, et al.
Publicado: (2014)

Clustering-Constrained ICA for Ballistocardiogram Artifacts Removal in Simultaneous EEG-fMRI
por: Wang, Kai, et al.
Publicado: (2018)

A Constrained ICA-EMD Model for Group Level fMRI Analysis
por: Wein, Simon, et al.
Publicado: (2020)

Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment
por: Bi, Xia-an, et al.
Publicado: (2018)

Modelling subject variability in the spatial and temporal characteristics of functional modes
por: Harrison, Samuel J., et al.
Publicado: (2020)

Multimodal population brain imaging in the UK Biobank prospective epidemiological study
por: Miller, Karla L, et al.
Publicado: (2016)

Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
por: Alfaro-Almagro, Fidel, et al.
Publicado: (2018)

Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility Study
por: Kelly, Robert E., et al.
Publicado: (2010)

Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging
por: Wang, Chaoyue, et al.
Publicado: (2022)

Functional Subdivision of Group-ICA Results of fMRI Data Collected during Cinema Viewing
por: Pamilo, Siina, et al.
Publicado: (2012)

Analysis of Group ICA-Based Connectivity Measures from fMRI: Application to Alzheimer's Disease
por: Li, Shanshan, et al.
Publicado: (2012)

Optimizing Within-Subject Experimental Designs for jICA of Multi-Channel ERP and fMRI
por: Mangalathu-Arumana, Jain, et al.
Publicado: (2018)

Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data
por: Du, Yuhui, et al.
Publicado: (2017)

ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
por: Bass, Cher, et al.
Publicado: (2023)

A Study on Noise Reduction of Gear Pumps of Wheel Loaders Based on the ICA Model
por: Huang, Panling, et al.
Publicado: (2019)

The relationship between spatial configuration and functional connectivity of brain regions
por: Bijsterbosch, Janine Diane, et al.
Publicado: (2018)

Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based analyses
por: Xu, Jiansong, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_9568lj5ncis3asbg6dmvsoklvo