EEG Spatial-temporal Dynamics of Resting-state Activity in Young Women with Anorexia Nervosa: Preliminary Evidence
Brain Topogr. 2023 Aug 24. doi: 10.1007/s10548-023-01001-7. Online ahead of print.ABSTRACTThe aim of this study was to provide preliminary evidence on temporal dynamics of resting-state brain networks in youth with anorexia nervosa (AN) using electroencephalography (EEG). Resting-state EEG data were collected in 18 young women with AN and 18 healthy controls (HC). Between-group differences in brain networks were assessed using microstates analyses. Five microstates were identified across all subjects (A, B, C, D, E). Using a single set of maps representative of the whole dataset, group differences were identified for micro...
Source: Brain Topography - August 24, 2023 Category: Neuroscience Authors: Cristina Berchio Samika S Kumar Nadia Micali Source Type: research
EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis
Brain Topogr. 2023 Aug 24. doi: 10.1007/s10548-023-00999-0. Online ahead of print.ABSTRACTTo reduce the psycho-social burden increasing attention has focused on brain abnormalities in the most prevalent and highly co-occurring neuropsychiatric disorders, such as mood and anxiety. However, high inter-study variability in these patients results in inconsistent and contradictory alterations in the fast temporal dynamics of large-scale networks as measured by EEG microstates. Thus, in this meta-analysis, we aim to investigate the consistency of these changes to better understand possible common neuro-dynamical mechanisms of th...
Source: Brain Topography - August 24, 2023 Category: Neuroscience Authors: Alina Chivu Simona A Pascal Alena Damborsk á Miralena I Tomescu Source Type: research
The Relationship Between Cortical Morphological and Functional Topological Properties and Clinical Manifestations in Patients with Posttraumatic Diffuse Axonal Injury: An Individual Brain Network Study
Brain Topogr. 2023 Aug 24. doi: 10.1007/s10548-023-00964-x. Online ahead of print.ABSTRACTTo evaluate the altered network topological properties and their clinical relevance in patients with posttraumatic diffuse axonal injury (DAI). Forty-seven participants were recruited in this study, underwent 3D T1-weighted and resting-state functional MRI, and had single-subject morphological brain networks (MBNs) constructed by Kullback-Leibler divergence and functional brain networks (FBNs) constructed by Pearson correlation measurement interregional similarity. The global and regional properties were analyzed and compared using gr...
Source: Brain Topography - August 24, 2023 Category: Neuroscience Authors: Fuqing Zhou Lin Wu Long Qian Hongmei Kuang Jie Zhan Jian Li Gerald L Cheung Aimin Ding Honghan Gong Source Type: research
EEG Spatial-temporal Dynamics of Resting-state Activity in Young Women with Anorexia Nervosa: Preliminary Evidence
Brain Topogr. 2023 Aug 24. doi: 10.1007/s10548-023-01001-7. Online ahead of print.ABSTRACTThe aim of this study was to provide preliminary evidence on temporal dynamics of resting-state brain networks in youth with anorexia nervosa (AN) using electroencephalography (EEG). Resting-state EEG data were collected in 18 young women with AN and 18 healthy controls (HC). Between-group differences in brain networks were assessed using microstates analyses. Five microstates were identified across all subjects (A, B, C, D, E). Using a single set of maps representative of the whole dataset, group differences were identified for micro...
Source: Brain Topography - August 24, 2023 Category: Neuroscience Authors: Cristina Berchio Samika S Kumar Nadia Micali Source Type: research
EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis
Brain Topogr. 2023 Aug 24. doi: 10.1007/s10548-023-00999-0. Online ahead of print.ABSTRACTTo reduce the psycho-social burden increasing attention has focused on brain abnormalities in the most prevalent and highly co-occurring neuropsychiatric disorders, such as mood and anxiety. However, high inter-study variability in these patients results in inconsistent and contradictory alterations in the fast temporal dynamics of large-scale networks as measured by EEG microstates. Thus, in this meta-analysis, we aim to investigate the consistency of these changes to better understand possible common neuro-dynamical mechanisms of th...
Source: Brain Topography - August 24, 2023 Category: Neuroscience Authors: Alina Chivu Simona A Pascal Alena Damborsk á Miralena I Tomescu Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
Single-trial ERP Quantification Using Neural Networks
In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed a...
Source: Brain Topography - August 8, 2023 Category: Neuroscience Authors: Emma Depuydt Yana Criel Miet De Letter Pieter van Mierlo Source Type: research
