On the Reliability of the EEG Microstate Approach
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00982-9. Online ahead of print.ABSTRACTEEG microstates represent functional brain networks observable in resting EEG recordings that remain stable for 40-120ms before rapidly switching into another network. It is assumed that microstate characteristics (i.e., durations, occurrences, percentage coverage, and transitions) may serve as neural markers of mental and neurological disorders and psychosocial traits. However, robust data on their retest-reliability are needed to provide the basis for this assumption. Furthermore, researchers currently use different methodological ap...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Tobias Kleinert Thomas Koenig Kyle Nash Edmund Wascher Source Type: research
Generative Adversarial Network (GAN) for Simulating Electroencephalography
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00986-5. Online ahead of print.ABSTRACTElectroencephalographs record the electrical activity of your brain through the scalp. Electroencephalography is difficult to obtain due to its sensitivity and variability. Applications of electroencephalography such as for diagnosis, education, brain-computer interfaces require large samples of electroencephalography recording, however, it is often difficult to obtain the required datasets. Generative adversarial networks are robust deep learning framework which have proven themselves to be capable of synthesizing data. The robust nat...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Priyanshu Mahey Nima Toussi Grace Purnomu Anthony Thomas Herdman Source Type: research
The Neurophysiological Features Associated with Unilateral Spatial Neglect Recovery: A Scoping Review
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00980-x. Online ahead of print.ABSTRACTThe purpose of this scoping review is to provide updated information on the neural basis and neurophysiological features associated with unilateral spatial neglect (USN) recovery. We applied the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) framework and identified 16 relevant papers from the databases. Critical appraisal was performed by two independent reviewers using a standardized appraisal instrument developed by the PRISMA-ScR. We identified and categorized investi...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Masaya Ueda Takuma Yuri Keita Ueno Ryouhei Ishii Yasuo Naito Source Type: research
On the Reliability of the EEG Microstate Approach
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00982-9. Online ahead of print.ABSTRACTEEG microstates represent functional brain networks observable in resting EEG recordings that remain stable for 40-120ms before rapidly switching into another network. It is assumed that microstate characteristics (i.e., durations, occurrences, percentage coverage, and transitions) may serve as neural markers of mental and neurological disorders and psychosocial traits. However, robust data on their retest-reliability are needed to provide the basis for this assumption. Furthermore, researchers currently use different methodological ap...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Tobias Kleinert Thomas Koenig Kyle Nash Edmund Wascher Source Type: research
Generative Adversarial Network (GAN) for Simulating Electroencephalography
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00986-5. Online ahead of print.ABSTRACTElectroencephalographs record the electrical activity of your brain through the scalp. Electroencephalography is difficult to obtain due to its sensitivity and variability. Applications of electroencephalography such as for diagnosis, education, brain-computer interfaces require large samples of electroencephalography recording, however, it is often difficult to obtain the required datasets. Generative adversarial networks are robust deep learning framework which have proven themselves to be capable of synthesizing data. The robust nat...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Priyanshu Mahey Nima Toussi Grace Purnomu Anthony Thomas Herdman Source Type: research
The Neurophysiological Features Associated with Unilateral Spatial Neglect Recovery: A Scoping Review
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00980-x. Online ahead of print.ABSTRACTThe purpose of this scoping review is to provide updated information on the neural basis and neurophysiological features associated with unilateral spatial neglect (USN) recovery. We applied the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) framework and identified 16 relevant papers from the databases. Critical appraisal was performed by two independent reviewers using a standardized appraisal instrument developed by the PRISMA-ScR. We identified and categorized investi...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Masaya Ueda Takuma Yuri Keita Ueno Ryouhei Ishii Yasuo Naito Source Type: research
On the Reliability of the EEG Microstate Approach
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00982-9. Online ahead of print.ABSTRACTEEG microstates represent functional brain networks observable in resting EEG recordings that remain stable for 40-120ms before rapidly switching into another network. It is assumed that microstate characteristics (i.e., durations, occurrences, percentage coverage, and transitions) may serve as neural markers of mental and neurological disorders and psychosocial traits. However, robust data on their retest-reliability are needed to provide the basis for this assumption. Furthermore, researchers currently use different methodological ap...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Tobias Kleinert Thomas Koenig Kyle Nash Edmund Wascher Source Type: research
Generative Adversarial Network (GAN) for Simulating Electroencephalography
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00986-5. Online ahead of print.ABSTRACTElectroencephalographs record the electrical activity of your brain through the scalp. Electroencephalography is difficult to obtain due to its sensitivity and variability. Applications of electroencephalography such as for diagnosis, education, brain-computer interfaces require large samples of electroencephalography recording, however, it is often difficult to obtain the required datasets. Generative adversarial networks are robust deep learning framework which have proven themselves to be capable of synthesizing data. The robust nat...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Priyanshu Mahey Nima Toussi Grace Purnomu Anthony Thomas Herdman Source Type: research
The Neurophysiological Features Associated with Unilateral Spatial Neglect Recovery: A Scoping Review
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00980-x. Online ahead of print.ABSTRACTThe purpose of this scoping review is to provide updated information on the neural basis and neurophysiological features associated with unilateral spatial neglect (USN) recovery. We applied the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) framework and identified 16 relevant papers from the databases. Critical appraisal was performed by two independent reviewers using a standardized appraisal instrument developed by the PRISMA-ScR. We identified and categorized investi...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Masaya Ueda Takuma Yuri Keita Ueno Ryouhei Ishii Yasuo Naito Source Type: research
On the Reliability of the EEG Microstate Approach
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00982-9. Online ahead of print.ABSTRACTEEG microstates represent functional brain networks observable in resting EEG recordings that remain stable for 40-120ms before rapidly switching into another network. It is assumed that microstate characteristics (i.e., durations, occurrences, percentage coverage, and transitions) may serve as neural markers of mental and neurological disorders and psychosocial traits. However, robust data on their retest-reliability are needed to provide the basis for this assumption. Furthermore, researchers currently use different methodological ap...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Tobias Kleinert Thomas Koenig Kyle Nash Edmund Wascher Source Type: research
Generative Adversarial Network (GAN) for Simulating Electroencephalography
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00986-5. Online ahead of print.ABSTRACTElectroencephalographs record the electrical activity of your brain through the scalp. Electroencephalography is difficult to obtain due to its sensitivity and variability. Applications of electroencephalography such as for diagnosis, education, brain-computer interfaces require large samples of electroencephalography recording, however, it is often difficult to obtain the required datasets. Generative adversarial networks are robust deep learning framework which have proven themselves to be capable of synthesizing data. The robust nat...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Priyanshu Mahey Nima Toussi Grace Purnomu Anthony Thomas Herdman Source Type: research
The Neurophysiological Features Associated with Unilateral Spatial Neglect Recovery: A Scoping Review
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00980-x. Online ahead of print.ABSTRACTThe purpose of this scoping review is to provide updated information on the neural basis and neurophysiological features associated with unilateral spatial neglect (USN) recovery. We applied the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) framework and identified 16 relevant papers from the databases. Critical appraisal was performed by two independent reviewers using a standardized appraisal instrument developed by the PRISMA-ScR. We identified and categorized investi...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Masaya Ueda Takuma Yuri Keita Ueno Ryouhei Ishii Yasuo Naito Source Type: research
On the Reliability of the EEG Microstate Approach
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00982-9. Online ahead of print.ABSTRACTEEG microstates represent functional brain networks observable in resting EEG recordings that remain stable for 40-120ms before rapidly switching into another network. It is assumed that microstate characteristics (i.e., durations, occurrences, percentage coverage, and transitions) may serve as neural markers of mental and neurological disorders and psychosocial traits. However, robust data on their retest-reliability are needed to provide the basis for this assumption. Furthermore, researchers currently use different methodological ap...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Tobias Kleinert Thomas Koenig Kyle Nash Edmund Wascher Source Type: research
Generative Adversarial Network (GAN) for Simulating Electroencephalography
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00986-5. Online ahead of print.ABSTRACTElectroencephalographs record the electrical activity of your brain through the scalp. Electroencephalography is difficult to obtain due to its sensitivity and variability. Applications of electroencephalography such as for diagnosis, education, brain-computer interfaces require large samples of electroencephalography recording, however, it is often difficult to obtain the required datasets. Generative adversarial networks are robust deep learning framework which have proven themselves to be capable of synthesizing data. The robust nat...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Priyanshu Mahey Nima Toussi Grace Purnomu Anthony Thomas Herdman Source Type: research
The Neurophysiological Features Associated with Unilateral Spatial Neglect Recovery: A Scoping Review
Brain Topogr. 2023 Jul 6. doi: 10.1007/s10548-023-00980-x. Online ahead of print.ABSTRACTThe purpose of this scoping review is to provide updated information on the neural basis and neurophysiological features associated with unilateral spatial neglect (USN) recovery. We applied the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) framework and identified 16 relevant papers from the databases. Critical appraisal was performed by two independent reviewers using a standardized appraisal instrument developed by the PRISMA-ScR. We identified and categorized investi...
Source: Brain Topography - July 6, 2023 Category: Neuroscience Authors: Masaya Ueda Takuma Yuri Keita Ueno Ryouhei Ishii Yasuo Naito Source Type: research
