Exploring the brain network: a review on resting-state fMRI functional connectivity.

3,321 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The roles of the temporal lobe in creative insight: an integrated review (2017, background): “…to anatomically or functionally communicate with many cerebral areas and cortical structures (Aggleton, 2012; Van Strien, Cappaert, & Witter, 2009), including the ventromedial PFC (e.g., Goel & Dolan, 2007), the dorsolateral PFC and PCC (van den Heuvel & Pol, 2010) and the OFC (Goel & Dolan, 2007).”
Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks (2017, methodology): “The simplicity, interpretability and straightforwardness of this technique make it a good approach for rs-fMRI FC.20,21 As this method is entirely dependent on the user defined ROIs, it is difficult to examine whole brain FC using this technique.”
Cognitive impairment in schizophrenia: aetiology, pathophysiology, and treatment (2023, background): “These fMRI-derived networks are associated with cognition in healthy individuals, and with the cognitive symptoms of schizophrenia [258, 259].”
Frequency-dependent functional connectivity within resting-state networks: An atlas-based MEG beamformer solution (2012, neutral): “…for a direction anatomical interpretation of MEG data, as well as a direct comparison with (functional) connectivity and network studies based on anatomical MRI (Diffusion Tensor Imaging, Voxel-based Morphometry) and functional MRI (e.g. Gong et al., 2009; van den Heuvel and Hulshoff Pol, 2010).”