Arbabshirani, M. R., Havlicek, M., Kiehl, K. A., Pearlson, G. D., & Calhoun, V. D. (2013). Functional network connectivity during rest and task conditions: A comparative study. Human Brain Mapping, 34(11), 2959–2971.

Article  PubMed  Google Scholar 

Artifact Detection Tools (ART) [Available from: https://www.nitrc.org/projects/artifact_detect/. Accessed 5 May 2023

Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007). A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. NeuroImage, 37(1), 90–101.

Article  PubMed  Google Scholar 

Bonhomme, V., Vanhaudenhuyse, A., Demertzi, A., Bruno, M. A., Jaquet, O., Bahri, M. A., et al. (2016). Resting-state Network-specific Breakdown of Functional Connectivity during Ketamine Alteration of Consciousness in Volunteers. Anesthesiology, 125(5), 873–888.

Article  PubMed  Google Scholar 

Chumbley, J., Worsley, K., Flandin, G., & Friston, K. (2010). Topological FDR for neuroimaging. NeuroImage, 49(4), 3057–3064.

Article  CAS  PubMed  Google Scholar 

Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E. (2014). Intrinsic and task-evoked network architectures of the human brain. Neuron, 83(1), 238–251.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Elkhetali, A. S., Fleming, L. L., Vaden, R. J., Nenert, R., Mendle, J. E., & Visscher, K. M. (2019). Background connectivity between frontal and sensory cortex depends on task state, independent of stimulus modality. NeuroImage, 184, 790–800.

Article  PubMed  Google Scholar 

Elliott, M. L., Knodt, A. R., Cooke, M., Kim, M. J., Melzer, T. R., Keenan, R., et al. (2019). General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks. NeuroImage, 189, 516–532.

Article  PubMed  Google Scholar 

Fair, D. A., Schlaggar, B. L., Cohen, A. L., Miezin, F. M., Dosenbach, N. U., Wenger, K. K., et al. (2007). A method for using blocked and event-related fMRI data to study “resting state” functional connectivity. NeuroImage, 35(1), 396–405.

Article  PubMed  Google Scholar 

Fleming, L. M., Javitt, D. C., Carter, C. S., Kantrowitz, J. T., Girgis, R. R., Kegeles, L. S., et al. (2019). A multicenter study of ketamine effects on functional connectivity: Large scale network relationships, hubs and symptom mechanisms. Neuroimage Clinical, 22, 101739.

Article  PubMed  PubMed Central  Google Scholar 

Franco, A. R., Mannell, M. V., Calhoun, V. D., & Mayer, A. R. (2013). Impact of Analysis Methods on the Reproducibility and Reliability of Resting-State Networks. Brain Connectivity., 3(4), 363–374.

Article  PubMed  PubMed Central  Google Scholar 

Grady, C. L. (2020). Meta-analytic and functional connectivity evidence from functional magnetic resonance imaging for an anterior to posterior gradient of function along the hippocampal axis. Hippocampus, 30(5), 456–471.

Article  PubMed  Google Scholar 

Greenblatt, D. J., Abernethy, D. R., Locniskar, A., Harmatz, J. S., Limjuco, R. A., & Shader, R. I. (1984). Effect of age, gender, and obesity on midazolam kinetics. Anesthesiology, 61(1), 27–35.

Article  CAS  PubMed  Google Scholar 

James, G. A., Hazaroglu, O., & Bush, K. A. (2016). A human brain atlas derived via n-cut parcellation of resting-state and task-based fMRI data. Magnetic Resonance Imaging, 34(2), 209–218.

Article  PubMed  Google Scholar 

Margulies, D. S., Böttger, J., Long, X., Lv, Y., Kelly, C., Schäfer, A., et al. (2010). Resting developments: A review of fMRI post-processing methodologies for spontaneous brain activity. Magnetic Resonance Materials in Physics, Biology and Medicine., 23(5–6), 289–307.

Article  Google Scholar 

Kraguljac, N. V., Frolich, M. A., Tran, S., White, D. M., Nichols, N., Barton-McArdle, A., et al. (2017). Ketamine modulates hippocampal neurochemistry and functional connectivity: A combined magnetic resonance spectroscopy and resting-state fMRI study in healthy volunteers. Molecular Psychiatry, 22(4), 562–569.

Article  CAS  PubMed  Google Scholar 

McMillan, R., & Muthukumaraswamy, S. D. (2020). The neurophysiology of ketamine: An integrative review. Reviews in the Neurosciences, 31(5), 457–503.

Article  CAS  PubMed  Google Scholar 

Mueller, F., Musso, F., London, M., de Boer, P., Zacharias, N., & Winterer, G. (2018). Pharmacological fMRI: Effects of subanesthetic ketamine on resting-state functional connectivity in the default mode network, salience network, dorsal attention network and executive control network. Neuroimage Clinical, 19, 745–757.

Article  PubMed  PubMed Central  Google Scholar 

Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52(3), 1059–1069.

Article  PubMed  Google Scholar 

Sohn, W. S., Yoo, K., Lee, Y. B., Seo, S. W., Na, D. L., & Jeong, Y. (2015). Influence of ROI selection on resting state functional connectivity: An individualized approach for resting state fMRI analysis. Frontiers in Neuroscience., 9, 280.

Article  PubMed  PubMed Central  Google Scholar 

Song, X., Panych, L. P., & Chen, N.-K. (2016). Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility. Brain Connectivity., 6(2), 136–151.

Article  PubMed  PubMed Central  Google Scholar 

Tompary, A., Al-Aidroos, N., & Turk-Browne, N. B. (2018). Attending to What and Where: Background Connectivity Integrates Categorical and Spatial Attention. Journal of Cognitive Neuroscience., 30(9), 1281–1297.

Article  PubMed  PubMed Central  Google Scholar 

Vogt, K. M., Ibinson, J. W., Smith, C. T., Citro, A. T., Norton, C. M., Karim, H. T., et al. (2021). Midazolam and Ketamine Produce Distinct Neural Changes in Memory, Pain, and Fear Networks during Pain. Anesthesiology, 135(1), 69–82.

Article  CAS  PubMed  Google Scholar 

Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012). Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connectivity., 2(3), 125–141.

Article  PubMed  Google Scholar 

Wong, J. J., O’Daly, O., Mehta, M. A., Young, A. H., & Stone, J. M. (2016). Ketamine modulates subgenual cingulate connectivity with the memory-related neural circuit-a mechanism of relevance to resistant depression? PeerJ, 4, e1710.

Article  PubMed  PubMed Central  Google Scholar 

Zalesky, A., Fornito, A., Harding, I. H., Cocchi, L., Yücel, M., Pantelis, C., et al. (2010). Whole-brain anatomical networks: Does the choice of nodes matter? NeuroImage, 50(3), 970–983.

Article  PubMed  Google Scholar 

Zhang, X., Cheng, H., Zuo, Z., Zhou, K., Cong, F., Wang, B., et al. (2018). Individualized Functional Parcellation of the Human Amygdala Using a Semi-supervised Clustering Method: A 7T Resting State fMRI Study. Frontiers in Neuroscience., 12, 270.

Article  PubMed  PubMed Central  Google Scholar