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
Electrophysiological Correlates of Reward Anticipation in Subjects with Schizophrenia: An ERP Microstate Study
Brain Topogr. 2023 Jul 5. doi: 10.1007/s10548-023-00984-7. Online ahead of print.ABSTRACTThe current study aimed to investigate alterations of event-related potentials (ERPs) microstate during reward anticipation in subjects with schizophrenia (SCZ), and their association with hedonic experience and negative symptoms. EEG data were recorded in thirty SCZ and twenty-three healthy controls (HC) during the monetary incentive delay task in which reward, loss and neutral cues were presented. Microstate analysis and standardized low-resolution electromagnetic tomography (sLORETA) were applied to EEG data. Furthermore, analyses c...
Source: Brain Topography - July 4, 2023 Category: Neuroscience Authors: A Perrottelli G M Giordano T Koenig E Caporusso L Giuliani P Pezzella P Bucci A Mucci S Galderisi Source Type: research
Electrophysiological Correlates of Reward Anticipation in Subjects with Schizophrenia: An ERP Microstate Study
Brain Topogr. 2023 Jul 5. doi: 10.1007/s10548-023-00984-7. Online ahead of print.ABSTRACTThe current study aimed to investigate alterations of event-related potentials (ERPs) microstate during reward anticipation in subjects with schizophrenia (SCZ), and their association with hedonic experience and negative symptoms. EEG data were recorded in thirty SCZ and twenty-three healthy controls (HC) during the monetary incentive delay task in which reward, loss and neutral cues were presented. Microstate analysis and standardized low-resolution electromagnetic tomography (sLORETA) were applied to EEG data. Furthermore, analyses c...
Source: Brain Topography - July 4, 2023 Category: Neuroscience Authors: A Perrottelli G M Giordano T Koenig E Caporusso L Giuliani P Pezzella P Bucci A Mucci S Galderisi Source Type: research
Sound Level Changes the Auditory Cortical Activation Detected with Functional Near-Infrared Spectroscopy
CONCLUSIONS: These results support the potential of fNIRS to examine auditory stimulus level effects at a group level and the importance of controlling for stimulus level and loudness in speech recognition studies. Further research is needed to better understand cortical activation patterns for speech recognition as a function of both stimulus presentation level and perceived loudness.PMID:37393418 | DOI:10.1007/s10548-023-00981-w (Source: Brain Topography)
Source: Brain Topography - July 1, 2023 Category: Neuroscience Authors: Sterling W Sheffield Eric Larson Iliza M Butera Andrea DeFreese Baxter P Rogers Mark T Wallace G Christopher Stecker Adrian K C Lee Rene H Gifford Source Type: research
