Personality Moderates Intra-Individual Variability in EEG Microstates and Spontaneous Thoughts
Brain Topogr. 2023 Dec 1. doi: 10.1007/s10548-023-01019-x. Online ahead of print.ABSTRACTVariability in brain activity that persists after accounting for overt behavioral and physiological states is often considered noise and controlled as a covariate in research. However, studying intra-individual variability in brain function can provide valuable insights into the dynamic nature of the brain. To explore this, we conducted a study on 43 participants analyzing the EEG microstate dynamics and self-reported spontaneous mental activity during five-minute resting-state recordings on two separate days with a twenty days average...
Source: Brain Topography - December 1, 2023 Category: Neuroscience Authors: Miralena I Tomescu Claudiu Papasteri Alexandra Sofonea Alexandru I Berceanu Ioana Carcea Source Type: research
Personality Moderates Intra-Individual Variability in EEG Microstates and Spontaneous Thoughts
Brain Topogr. 2023 Dec 1. doi: 10.1007/s10548-023-01019-x. Online ahead of print.ABSTRACTVariability in brain activity that persists after accounting for overt behavioral and physiological states is often considered noise and controlled as a covariate in research. However, studying intra-individual variability in brain function can provide valuable insights into the dynamic nature of the brain. To explore this, we conducted a study on 43 participants analyzing the EEG microstate dynamics and self-reported spontaneous mental activity during five-minute resting-state recordings on two separate days with a twenty days average...
Source: Brain Topography - December 1, 2023 Category: Neuroscience Authors: Miralena I Tomescu Claudiu Papasteri Alexandra Sofonea Alexandru I Berceanu Ioana Carcea Source Type: research
Personality Moderates Intra-Individual Variability in EEG Microstates and Spontaneous Thoughts
Brain Topogr. 2023 Dec 1. doi: 10.1007/s10548-023-01019-x. Online ahead of print.ABSTRACTVariability in brain activity that persists after accounting for overt behavioral and physiological states is often considered noise and controlled as a covariate in research. However, studying intra-individual variability in brain function can provide valuable insights into the dynamic nature of the brain. To explore this, we conducted a study on 43 participants analyzing the EEG microstate dynamics and self-reported spontaneous mental activity during five-minute resting-state recordings on two separate days with a twenty days average...
Source: Brain Topography - December 1, 2023 Category: Neuroscience Authors: Miralena I Tomescu Claudiu Papasteri Alexandra Sofonea Alexandru I Berceanu Ioana Carcea Source Type: research
Longstanding Auditory Sensory and Semantic Differences in Preterm Born Children
This study highlights how early life experience in terms of preterm birth shapes sensory and object processing later on in life.PMID:38010487 | DOI:10.1007/s10548-023-01022-2 (Source: Brain Topography)
Source: Brain Topography - November 27, 2023 Category: Neuroscience Authors: Chrysa Retsa H élène Turpin Eveline Geiser Fran çois Ansermet Carole M üller-Nix Micah M Murray Source Type: research
Longstanding Auditory Sensory and Semantic Differences in Preterm Born Children
This study highlights how early life experience in terms of preterm birth shapes sensory and object processing later on in life.PMID:38010487 | DOI:10.1007/s10548-023-01022-2 (Source: Brain Topography)
Source: Brain Topography - November 27, 2023 Category: Neuroscience Authors: Chrysa Retsa H élène Turpin Eveline Geiser Fran çois Ansermet Carole M üller-Nix Micah M Murray Source Type: research
Longstanding Auditory Sensory and Semantic Differences in Preterm Born Children
This study highlights how early life experience in terms of preterm birth shapes sensory and object processing later on in life.PMID:38010487 | DOI:10.1007/s10548-023-01022-2 (Source: Brain Topography)
Source: Brain Topography - November 27, 2023 Category: Neuroscience Authors: Chrysa Retsa H élène Turpin Eveline Geiser Fran çois Ansermet Carole M üller-Nix Micah M Murray Source Type: research
Longstanding Auditory Sensory and Semantic Differences in Preterm Born Children
This study highlights how early life experience in terms of preterm birth shapes sensory and object processing later on in life.PMID:38010487 | DOI:10.1007/s10548-023-01022-2 (Source: Brain Topography)
Source: Brain Topography - November 27, 2023 Category: Neuroscience Authors: Chrysa Retsa H élène Turpin Eveline Geiser Fran çois Ansermet Carole M üller-Nix Micah M Murray Source Type: research
An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition
Brain Topogr. 2023 Nov 23. doi: 10.1007/s10548-023-01016-0. Online ahead of print.ABSTRACTNowadays, road accidents pose a severe risk in cases of sleep disorders. We proposed a novel hybrid deep-learning model for detecting drowsiness to address this issue. The proposed model combines the strengths of discrete wavelet long short-term memory (DWLSTM) and convolutional neural networks (CNN) models to classify single-channel electroencephalogram (EEG) signals. Baseline models such as support vector machine (SVM), linear discriminant analysis (LDA), back propagation neural networks (BPNN), CNN, and CNN merged with LSTM (CNN+LS...
Source: Brain Topography - November 23, 2023 Category: Neuroscience Authors: Y Rama Muni Reddy P Muralidhar M Srinivas Source Type: research
Evoked EEG Responses to TMS Targeting Regions Outside the Primary Motor Cortex and Their Test-Retest Reliability
In conclusion, our optimized sham procedure effectively reveals EEG responses to direct cortical activation by TMS in brain areas outside primary motor cortex. Moreover, we demonstrate the impact of peripheral sensory inputs on test-retest reliability of TMS-EEG responses.PMID:37996562 | DOI:10.1007/s10548-023-01018-y (Source: Brain Topography)
Source: Brain Topography - November 23, 2023 Category: Neuroscience Authors: Yufei Song Pedro C Gordon Johanna Metsomaa Maryam Rostami Paolo Belardinelli Ulf Ziemann Source Type: research
An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition
Brain Topogr. 2023 Nov 23. doi: 10.1007/s10548-023-01016-0. Online ahead of print.ABSTRACTNowadays, road accidents pose a severe risk in cases of sleep disorders. We proposed a novel hybrid deep-learning model for detecting drowsiness to address this issue. The proposed model combines the strengths of discrete wavelet long short-term memory (DWLSTM) and convolutional neural networks (CNN) models to classify single-channel electroencephalogram (EEG) signals. Baseline models such as support vector machine (SVM), linear discriminant analysis (LDA), back propagation neural networks (BPNN), CNN, and CNN merged with LSTM (CNN+LS...
Source: Brain Topography - November 23, 2023 Category: Neuroscience Authors: Y Rama Muni Reddy P Muralidhar M Srinivas Source Type: research
Evoked EEG Responses to TMS Targeting Regions Outside the Primary Motor Cortex and Their Test-Retest Reliability
In conclusion, our optimized sham procedure effectively reveals EEG responses to direct cortical activation by TMS in brain areas outside primary motor cortex. Moreover, we demonstrate the impact of peripheral sensory inputs on test-retest reliability of TMS-EEG responses.PMID:37996562 | DOI:10.1007/s10548-023-01018-y (Source: Brain Topography)
Source: Brain Topography - November 23, 2023 Category: Neuroscience Authors: Yufei Song Pedro C Gordon Johanna Metsomaa Maryam Rostami Paolo Belardinelli Ulf Ziemann Source Type: research
An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition
Brain Topogr. 2023 Nov 23. doi: 10.1007/s10548-023-01016-0. Online ahead of print.ABSTRACTNowadays, road accidents pose a severe risk in cases of sleep disorders. We proposed a novel hybrid deep-learning model for detecting drowsiness to address this issue. The proposed model combines the strengths of discrete wavelet long short-term memory (DWLSTM) and convolutional neural networks (CNN) models to classify single-channel electroencephalogram (EEG) signals. Baseline models such as support vector machine (SVM), linear discriminant analysis (LDA), back propagation neural networks (BPNN), CNN, and CNN merged with LSTM (CNN+LS...
Source: Brain Topography - November 23, 2023 Category: Neuroscience Authors: Y Rama Muni Reddy P Muralidhar M Srinivas Source Type: research
Evoked EEG Responses to TMS Targeting Regions Outside the Primary Motor Cortex and Their Test-Retest Reliability
In conclusion, our optimized sham procedure effectively reveals EEG responses to direct cortical activation by TMS in brain areas outside primary motor cortex. Moreover, we demonstrate the impact of peripheral sensory inputs on test-retest reliability of TMS-EEG responses.PMID:37996562 | DOI:10.1007/s10548-023-01018-y (Source: Brain Topography)
Source: Brain Topography - November 23, 2023 Category: Neuroscience Authors: Yufei Song Pedro C Gordon Johanna Metsomaa Maryam Rostami Paolo Belardinelli Ulf Ziemann Source Type: research
An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition
Brain Topogr. 2023 Nov 23. doi: 10.1007/s10548-023-01016-0. Online ahead of print.ABSTRACTNowadays, road accidents pose a severe risk in cases of sleep disorders. We proposed a novel hybrid deep-learning model for detecting drowsiness to address this issue. The proposed model combines the strengths of discrete wavelet long short-term memory (DWLSTM) and convolutional neural networks (CNN) models to classify single-channel electroencephalogram (EEG) signals. Baseline models such as support vector machine (SVM), linear discriminant analysis (LDA), back propagation neural networks (BPNN), CNN, and CNN merged with LSTM (CNN+LS...
Source: Brain Topography - November 23, 2023 Category: Neuroscience Authors: Y Rama Muni Reddy P Muralidhar M Srinivas Source Type: research
Evoked EEG Responses to TMS Targeting Regions Outside the Primary Motor Cortex and Their Test-Retest Reliability
In conclusion, our optimized sham procedure effectively reveals EEG responses to direct cortical activation by TMS in brain areas outside primary motor cortex. Moreover, we demonstrate the impact of peripheral sensory inputs on test-retest reliability of TMS-EEG responses.PMID:37996562 | DOI:10.1007/s10548-023-01018-y (Source: Brain Topography)
Source: Brain Topography - November 23, 2023 Category: Neuroscience Authors: Yufei Song Pedro C Gordon Johanna Metsomaa Maryam Rostami Paolo Belardinelli Ulf Ziemann Source Type: research
