Technological advancements in neuroimaging have immensely aided the field of neuroscience in further understanding the intricate functionality and connectivity of brains, both in human and animal models. We are now not only able to identify, localize and characterize brain pathologies, e.g. tumors, but we are able to study brain anatomy, functionality, development, neuronal networks, etc. at an unprecedented precision. Innovative and very sophisticated software and algorithms are constantly being developed to assist in the analysis of signals and outputs in an ever-improving manner.
However, despite this incredible move forward, certain machine-specific limitations continue to hinder our ability to fully understand the brain’s mechanisms. From poor temporal to poor spatial resolution, each respective neuroimaging technique is accompanied by certain drawbacks. Hence, the recent shift in the field of dual/simultaneous recordings utilizing multiple neuroimaging methods e.g. EEG and MRI or fNIRS. Through such multimodal approaches, we are able to overcome single modality limitations and paint a fuller and comprehensive picture of the brain. Moreover, simultaneous recordings also play an increasing role when interacting with the brain using stimulation techniques (e.g. TMS, tES, particular in closed-loop applications)
Consequently, this Research Topic aims to present research centered around the recent advancements made in the field of neural technology and simultaneous neuroimaging recordings in an effort to collate various findings and highlight important developments. We welcome submissions in the form of original research, systematic reviews, methods articles, and opinion articles. Areas of focus can include but are not limited to:
· Electroencephalography / Magnetoencephalography
· Magnetic Resonance Imaging / Functional Magnetic Resonance Imaging
· Functional Near-infrared Spectroscopy
· Simultaneous recordings during brain stimulation
· Human and Animal Models
· Theoretical Models
· Algorithms
Technological advancements in neuroimaging have immensely aided the field of neuroscience in further understanding the intricate functionality and connectivity of brains, both in human and animal models. We are now not only able to identify, localize and characterize brain pathologies, e.g. tumors, but we are able to study brain anatomy, functionality, development, neuronal networks, etc. at an unprecedented precision. Innovative and very sophisticated software and algorithms are constantly being developed to assist in the analysis of signals and outputs in an ever-improving manner.
However, despite this incredible move forward, certain machine-specific limitations continue to hinder our ability to fully understand the brain’s mechanisms. From poor temporal to poor spatial resolution, each respective neuroimaging technique is accompanied by certain drawbacks. Hence, the recent shift in the field of dual/simultaneous recordings utilizing multiple neuroimaging methods e.g. EEG and MRI or fNIRS. Through such multimodal approaches, we are able to overcome single modality limitations and paint a fuller and comprehensive picture of the brain. Moreover, simultaneous recordings also play an increasing role when interacting with the brain using stimulation techniques (e.g. TMS, tES, particular in closed-loop applications)
Consequently, this Research Topic aims to present research centered around the recent advancements made in the field of neural technology and simultaneous neuroimaging recordings in an effort to collate various findings and highlight important developments. We welcome submissions in the form of original research, systematic reviews, methods articles, and opinion articles. Areas of focus can include but are not limited to:
· Electroencephalography / Magnetoencephalography
· Magnetic Resonance Imaging / Functional Magnetic Resonance Imaging
· Functional Near-infrared Spectroscopy
· Simultaneous recordings during brain stimulation
· Human and Animal Models
· Theoretical Models
· Algorithms
