Information-Based Approaches of Noninvasive Transcranial Brain Stimulation.
By Vincenzo Romei, Gregor Thut, J. Silvanto. 2016
Subfields: Biomedical Engineering, Cognitive Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Cognitive Neuroscience
- Justin Riddle
- Mattia F. Pagnotta
- M. D'esposito
- F. Frohlich
- Jonathan W. Schooler
- Dillan Cellier
- Jason M. Scimeca
- Daniel Sheltraw
Citations in the corpus
- Causal Evidence for a Role of Theta and Alpha Oscillations in the Control of Working Memory (2020, background): “Because theta and alpha oscillations are theorized to play opposite roles in either prioritizing or suppressing representations [14, 27, 28], we predicted that the beneficial (or detrimental) impact of rhythmic TMS on performance would depend on whether the TMS frequency was matched (or mismatched) ”
- Multimodal neuroimaging of hierarchical cognitive control. (2024, background): “The use of brain stimulation techniques allows for causal hypothesis testing of brain functions by targeting specific brain regions or networks (Romei et al., 2016).”
- Hierarchical consciousness: the Nested Observer Windows model (2024, background): “Non-invasive brain stimulation methodologies such as rhythmic transcranial magnetic stimulation (Romei et al. 2016) and frequency-specific tACS (Riddle and Frohlich 2021) allow for the causal investigation of the role of oscillatory electrical activity in cognition.”
- A guide for concurrent TMS-fMRI to investigate functional brain networks (2022, background): “Furthermore, TMS to a brain region is now understood to alter activity within a network of structurally and functionally connected brain regions (Quentin et al., 2016; Romei et al., 2016; Hermiller et al., 2020; Ryan et al., 2022).”
- Rhythmic TMS as a Feasible Tool to Uncover the Oscillatory Signatures of Audiovisual Integration (2023, background): “oscillatory peak frequencies toward faster or slower cycling rates [51,52].”
- Mental Activity as the Bridge between Neural Biomarkers and Symptoms of Psychiatric Illness (2022, methodology): “For example, rhythmic TMS can be used to target a speci fi c brain region localized from fMRI analysis and to target a speci fi c electrical signal localized from EEG analysis, ie, a single neural oscillation 57,58 or coupling pattern.”