Regular ArticleReal-Time fMRI Paradigm Control, Physiology, and Behavior Combined with Near Real-Time Statistical Analysis
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Fast detection and reduction of local transient artifacts in resting-state fMRI
2020, Computers in Biology and MedicineCitation Excerpt :Multiple distinct artifacts impact the quality of echo planar imaging (EPI) time series data. Head motion, physiologic interference (cardiac pulse and respiration), and hardware artifacts [1–4] can all be sources of error [5], and can be missed without a comprehensive approach to their identification [3]. Denoising methods have primarily focused on head motion and physiological inferences [6,7], and head motion has been the only QC measure that can be identified during scanning [8], leaving hardware artifacts to be identified afterwards.
Neu<sup>3</sup>CA-RT: A framework for real-time fMRI analysis
2018, Psychiatry Research - NeuroimagingCitation Excerpt :Advancements in medical imaging technology (reviewed by Cohen, 2001; Weiskopf et al., 2007), computational algorithms (reviewed by Cohen, 2001; Weiskopf et al., 2007; deCharms, 2007) and computer processing power allow increasingly faster and more advanced acquisition and processing of functional images and give researchers and clinicians access to data and results in real-time that would otherwise only be available hours, days or weeks after scanning (Weiskopf, 2012). The application of rtfMRI, initially proposed as a tool to monitor data quality, to easily develop new task and stimulus protocols, and for use in interactive neurological experiments (Cox et al., 1995), has expanded to include: real-time data quality assurance and patient compliance checking (Voyvodic, 1999), pre-experimental or pre-surgical functional localisation and intraoperative guidance (see for example Hirsch et al., 2000; Binder, 2011), neurofeedback studies and treatment (see Weiskopf, 2012; deCharms, 2008; Sulzer et al., 2013; Sitaram et al., 2016, for extensive reviews), and teaching (Weiskopf et al., 2007). Increasingly, applied rtfMRI is viewed as a useful diagnostic and treatment (navigation) tool in psychoradiology, a growing field described as the use of radiologic approaches for diagnosis, treatment planning and monitoring of patients with major neuropsychiatric disorders (Lui et al., 2016).
Advances in fMRI Real-Time Neurofeedback
2017, Trends in Cognitive SciencesTask difficulty modulates brain activation in the emotional oddball task
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