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
A Potential Source of Bias in Group-Level EEG Microstate Analysis
Brain Topogr. 2023 Aug 7. doi: 10.1007/s10548-023-00992-7. Online ahead of print.ABSTRACTMicrostate analysis is a promising technique for analyzing high-density electroencephalographic data, but there are multiple questions about methodological best practices. Between and within individuals, microstates can differ both in terms of characteristic topographies and temporal dynamics, which leads to analytic challenges as the measurement of microstate dynamics is dependent on assumptions about their topographies. Here we focus on the analysis of group differences, using simulations seeded on real data from healthy control subj...
Source: Brain Topography - August 7, 2023 Category: Neuroscience Authors: Michael Murphy Jun Wang Chenguang Jiang Lei A Wang Nataliia Kozhemiako Yining Wang GRINS Consortium Jen Q Pan Shaun M Purcell Source Type: research
Examination of the Development and Asymmetry of the Cerebellum and Its Lobules in Individuals Aged 1-18 Years: A Retrospective MRI Study
This study investigated the effect of age and gender on the volumetric development and asymmetry of the global cerebellum and cerebellar lobules in children and adolescents. In this retrospective study, we included 670 individuals [376 (56.1%) males] aged 1-18 years with normal brain MRIs between 2012 and 2021. volBrain CERES automatically segmented the right and left sides of the cerebellar lobules on three-dimensional T1-weighted MRIs. Volume and asymmetry data from individuals in 16 different age ranges were compared with SPSS (ver.28). The absolute volumetric development of the total cerebellum was consistent with the ...
Source: Brain Topography - August 7, 2023 Category: Neuroscience Authors: Sefa I şıklar İmren Demir Senem Turan Özdemir R ıfat Özpar Source Type: research
A Potential Source of Bias in Group-Level EEG Microstate Analysis
Brain Topogr. 2023 Aug 7. doi: 10.1007/s10548-023-00992-7. Online ahead of print.ABSTRACTMicrostate analysis is a promising technique for analyzing high-density electroencephalographic data, but there are multiple questions about methodological best practices. Between and within individuals, microstates can differ both in terms of characteristic topographies and temporal dynamics, which leads to analytic challenges as the measurement of microstate dynamics is dependent on assumptions about their topographies. Here we focus on the analysis of group differences, using simulations seeded on real data from healthy control subj...
Source: Brain Topography - August 7, 2023 Category: Neuroscience Authors: Michael Murphy Jun Wang Chenguang Jiang Lei A Wang Nataliia Kozhemiako Yining Wang GRINS Consortium Jen Q Pan Shaun M Purcell Source Type: research
Examination of the Development and Asymmetry of the Cerebellum and Its Lobules in Individuals Aged 1-18 Years: A Retrospective MRI Study
This study investigated the effect of age and gender on the volumetric development and asymmetry of the global cerebellum and cerebellar lobules in children and adolescents. In this retrospective study, we included 670 individuals [376 (56.1%) males] aged 1-18 years with normal brain MRIs between 2012 and 2021. volBrain CERES automatically segmented the right and left sides of the cerebellar lobules on three-dimensional T1-weighted MRIs. Volume and asymmetry data from individuals in 16 different age ranges were compared with SPSS (ver.28). The absolute volumetric development of the total cerebellum was consistent with the ...
Source: Brain Topography - August 7, 2023 Category: Neuroscience Authors: Sefa I şıklar İmren Demir Senem Turan Özdemir R ıfat Özpar Source Type: research
High-definition transcranial direct current stimulation (HD-tDCS) of the left middle temporal gyrus (LMTG) improves mathematical reasoning
Brain Topogr. 2023 Aug 4. doi: 10.1007/s10548-023-00996-3. Online ahead of print.ABSTRACTThe role of the visuospatial network in mathematical processing has been established, but the role of the semantic neural network in mathematical processing is still poorly understood. The current study used high-definition transcranial direct current stimulation (HD-tDCS) to examine whether the semantic network supports mathematical processing. Using a single-blind, randomized, sham-controlled experimental design, 48 participants were randomly assigned to receive either anodal or sham HD-tDCS on the left middle temporal gyrus (LMTG), ...
Source: Brain Topography - August 4, 2023 Category: Neuroscience Authors: Mengyi Li Dazhi Cheng Chuansheng Chen Xinlin Zhou Source Type: research
High-definition transcranial direct current stimulation (HD-tDCS) of the left middle temporal gyrus (LMTG) improves mathematical reasoning
Brain Topogr. 2023 Aug 4. doi: 10.1007/s10548-023-00996-3. Online ahead of print.ABSTRACTThe role of the visuospatial network in mathematical processing has been established, but the role of the semantic neural network in mathematical processing is still poorly understood. The current study used high-definition transcranial direct current stimulation (HD-tDCS) to examine whether the semantic network supports mathematical processing. Using a single-blind, randomized, sham-controlled experimental design, 48 participants were randomly assigned to receive either anodal or sham HD-tDCS on the left middle temporal gyrus (LMTG), ...
Source: Brain Topography - August 4, 2023 Category: Neuroscience Authors: Mengyi Li Dazhi Cheng Chuansheng Chen Xinlin Zhou Source Type: research
High-definition transcranial direct current stimulation (HD-tDCS) of the left middle temporal gyrus (LMTG) improves mathematical reasoning
Brain Topogr. 2023 Aug 4. doi: 10.1007/s10548-023-00996-3. Online ahead of print.ABSTRACTThe role of the visuospatial network in mathematical processing has been established, but the role of the semantic neural network in mathematical processing is still poorly understood. The current study used high-definition transcranial direct current stimulation (HD-tDCS) to examine whether the semantic network supports mathematical processing. Using a single-blind, randomized, sham-controlled experimental design, 48 participants were randomly assigned to receive either anodal or sham HD-tDCS on the left middle temporal gyrus (LMTG), ...
Source: Brain Topography - August 4, 2023 Category: Neuroscience Authors: Mengyi Li Dazhi Cheng Chuansheng Chen Xinlin Zhou Source Type: research
A Model to Study Time Lagged Interactions, Source Connectivity and Source Activities Using Multi-channel EEG
Brain Topogr. 2023 Aug 2. doi: 10.1007/s10548-023-00995-4. Online ahead of print.ABSTRACTA computational model to examine time lagged interactions; identify number of interacting pairs of neuronal sources; and determine source activities from multi-channel EEG measurements is described. It is based on the imaginary part of the cross spectrum between the EEG channels. The imaginary part of the cross spectrum between the EEG channels provides the most suitable property that reflects the presence of interacting sources. The model assumes that not all sources are activated simultaneously and that there is a time lag amongst so...
Source: Brain Topography - August 2, 2023 Category: Neuroscience Authors: R A Thuraisingham Source Type: research
EEG Microstates in Social and Affective Neuroscience
Brain Topogr. 2023 Jul 31. doi: 10.1007/s10548-023-00987-4. Online ahead of print.ABSTRACTSocial interactions require both the rapid processing of multifaceted socio-affective signals (e.g., eye gaze, facial expressions, gestures) and their integration with evaluations, social knowledge, and expectations. Researchers interested in understanding complex social cognition and behavior face a "black box" problem: What are the underlying mental processes rapidly occurring between perception and action and why are there such vast individual differences? In this review, we promote electroencephalography (EEG) microstates as a pow...
Source: Brain Topography - July 31, 2023 Category: Neuroscience Authors: Bastian Schiller Matthias F J Sperl Tobias Kleinert Kyle Nash Lorena R R Gianotti Source Type: research
EEG Microstates in Social and Affective Neuroscience
Brain Topogr. 2023 Jul 31. doi: 10.1007/s10548-023-00987-4. Online ahead of print.ABSTRACTSocial interactions require both the rapid processing of multifaceted socio-affective signals (e.g., eye gaze, facial expressions, gestures) and their integration with evaluations, social knowledge, and expectations. Researchers interested in understanding complex social cognition and behavior face a "black box" problem: What are the underlying mental processes rapidly occurring between perception and action and why are there such vast individual differences? In this review, we promote electroencephalography (EEG) microstates as a pow...
Source: Brain Topography - July 31, 2023 Category: Neuroscience Authors: Bastian Schiller Matthias F J Sperl Tobias Kleinert Kyle Nash Lorena R R Gianotti Source Type: research
EEG Microstates in Social and Affective Neuroscience
Brain Topogr. 2023 Jul 31. doi: 10.1007/s10548-023-00987-4. Online ahead of print.ABSTRACTSocial interactions require both the rapid processing of multifaceted socio-affective signals (e.g., eye gaze, facial expressions, gestures) and their integration with evaluations, social knowledge, and expectations. Researchers interested in understanding complex social cognition and behavior face a "black box" problem: What are the underlying mental processes rapidly occurring between perception and action and why are there such vast individual differences? In this review, we promote electroencephalography (EEG) microstates as a pow...
Source: Brain Topography - July 31, 2023 Category: Neuroscience Authors: Bastian Schiller Matthias F J Sperl Tobias Kleinert Kyle Nash Lorena R R Gianotti Source Type: research
EEG-Meta-Microstates: Towards a More Objective Use of Resting-State EEG Microstate Findings Across Studies
Brain Topogr. 2023 Jul 29. doi: 10.1007/s10548-023-00993-6. Online ahead of print.ABSTRACTOver the last decade, EEG resting-state microstate analysis has evolved from a niche existence to a widely used and well-accepted methodology. The rapidly increasing body of empirical findings started to yield overarching patterns of associations of biological and psychological states and traits with specific microstate classes. However, currently, this cross-referencing among apparently similar microstate classes of different studies is typically done by "eyeballing" of printed template maps by the individual authors, lacking a syste...
Source: Brain Topography - July 29, 2023 Category: Neuroscience Authors: Thomas Koenig Sarah Diezig Sahana Nagabhushan Kalburgi Elena Antonova Fiorenzo Artoni Lucie Brechet Juliane Britz Pierpaolo Croce Anna Custo Alena Damborsk á Camila Deolindo Markus Heinrichs Tobias Kleinert Zhen Liang Michael M Murphy Kyle Nash Chrystoph Source Type: research
EEG-Meta-Microstates: Towards a More Objective Use of Resting-State EEG Microstate Findings Across Studies
Brain Topogr. 2023 Jul 29. doi: 10.1007/s10548-023-00993-6. Online ahead of print.ABSTRACTOver the last decade, EEG resting-state microstate analysis has evolved from a niche existence to a widely used and well-accepted methodology. The rapidly increasing body of empirical findings started to yield overarching patterns of associations of biological and psychological states and traits with specific microstate classes. However, currently, this cross-referencing among apparently similar microstate classes of different studies is typically done by "eyeballing" of printed template maps by the individual authors, lacking a syste...
Source: Brain Topography - July 29, 2023 Category: Neuroscience Authors: Thomas Koenig Sarah Diezig Sahana Nagabhushan Kalburgi Elena Antonova Fiorenzo Artoni Lucie Brechet Juliane Britz Pierpaolo Croce Anna Custo Alena Damborsk á Camila Deolindo Markus Heinrichs Tobias Kleinert Zhen Liang Michael M Murphy Kyle Nash Chrystoph Source Type: research
