ArticleFrontiers in human neuroscience2013
Functional connectivity networks with and without global signal correction.
Article in Frontiers in human neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol.Brain imaging and behavior · 2019Pooled it
- Spatial Entropy of Brain Network Landscapes: A Novel Method to Assess Spatial Disorder in Brain Networks.Human brain mapping · 2026Article
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- Distinct alterations of functional connectivity of the basal forebrain subregions in insomnia disorder.Frontiers in psychiatry · 2022Article
- Effects of an Allostatic Closed-Loop Neurotechnology (HIRREM) on Brain Functional Connectivity Laterality in Military-Related Traumatic Stress.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2021Article
- Alterations Functional Connectivity in Temporal Lobe Epilepsy and Their Relationships With Cognitive Function: A Longitudinal Resting-State fMRI Study.Frontiers in neurology · 2020Article
- Effective connectivity of the right anterior insula in schizophrenia: The salience network and task-negative to task-positive transition.NeuroImage. Clinical · 2020Article
- Functional Brain Network Changes Following Use of an Allostatic, Closed-Loop, Acoustic Stimulation Neurotechnology for Military-Related Traumatic Stress.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2019Article
- Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data.NeuroImage · 2018Article
- Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.NeuroImage · 2018Article
- On the Extraction and Analysis of Graphs From Resting-State fMRI to Support a Correct and Robust Diagnostic Tool for Alzheimer's Disease.Frontiers in neuroscience · 2018Article
- Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging.Frontiers in neuroscience · 2018Review
- Effects of spatial smoothing on functional brain networks.The European journal of neuroscience · 2017Article
- Anti-Fragmentation of Resting-State Functional Magnetic Resonance Imaging Connectivity Networks with Node-Wise Thresholding.Brain connectivity · 2017Article
- Identifying dynamic functional connectivity biomarkers using GIG-ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder.Human brain mapping · 2017Article
- The global signal in fMRI: Nuisance or Information?NeuroImage · 2017Article
- Frequency specific brain networks in Parkinson's disease and comorbid depression.Brain imaging and behavior · 2017Article
- Exploring the reproducibility of functional connectivity alterations in Parkinson's disease.PloS one · 2017Article
- Relative differences in resting-state brain connectivity associated with long term intensive lifestyle intervention.Psychoneuroendocrinology · 2016Article
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Abstract
In functional connectivity analyses in BOLD (blood oxygenation level dependent) fMRI data, there is an ongoing debate on whether to correct global signals in fMRI time series data. Although the discussion has been ongoing in the fMRI community since the early days of fMRI data analyses, this subject has gained renewed attention in recent years due to the surging popularity of functional connectivity analyses, in particular graph theory-based network analyses. However, the impact of correcting (or not correcting) for global signals has not been systematically characterized in the context of network analyses. Thus, in this work, I examined the effect of global signal correction on an fMRI network analysis. In particular, voxel-based resting-state fMRI networks were constructed with and without global signal correction. The resulting functional connectivity networks were compared. Without global signal correction, the distributions of the correlation coefficients were positively biased. I also found that, without global signal correction, nodes along the interhemisphic fissure were highly connected whereas some nodes and subgraphs around white-matter tracts became disconnected from the rest of the network. These results from this study show differences between the networks with or without global signal correction.
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