Resting-State EEG Microstates and Power Spectrum in Borderline Personality Disorder: A High-Density EEG Study
Brain Topogr. 2023 Sep 30. doi: 10.1007/s10548-023-01005-3. Online ahead of print.ABSTRACTBorderline personality disorder (BPD) is a debilitating psychiatric condition characterized by emotional dysregulation, unstable sense of self, and impulsive, potentially self-harming behavior. In order to provide new neurophysiological insights on BPD, we complemented resting-state EEG frequency spectrum analysis with EEG microstates (MS) analysis to capture the spatiotemporal dynamics of large-scale neural networks. High-density EEG was recorded at rest in 16 BPD patients and 16 age-matched neurotypical controls. The relative power ...
Source: Brain Topography - September 30, 2023 Category: Neuroscience Authors: Marie-Pierre Deiber Camille Piguet Cristina Berchio Christoph M Michel Nader Perroud Tomas Ros Source Type: research
Resting-State EEG Microstates and Power Spectrum in Borderline Personality Disorder: A High-Density EEG Study
Brain Topogr. 2023 Sep 30. doi: 10.1007/s10548-023-01005-3. Online ahead of print.ABSTRACTBorderline personality disorder (BPD) is a debilitating psychiatric condition characterized by emotional dysregulation, unstable sense of self, and impulsive, potentially self-harming behavior. In order to provide new neurophysiological insights on BPD, we complemented resting-state EEG frequency spectrum analysis with EEG microstates (MS) analysis to capture the spatiotemporal dynamics of large-scale neural networks. High-density EEG was recorded at rest in 16 BPD patients and 16 age-matched neurotypical controls. The relative power ...
Source: Brain Topography - September 30, 2023 Category: Neuroscience Authors: Marie-Pierre Deiber Camille Piguet Cristina Berchio Christoph M Michel Nader Perroud Tomas Ros Source Type: research
Resting-State EEG Microstates and Power Spectrum in Borderline Personality Disorder: A High-Density EEG Study
Brain Topogr. 2023 Sep 30. doi: 10.1007/s10548-023-01005-3. Online ahead of print.ABSTRACTBorderline personality disorder (BPD) is a debilitating psychiatric condition characterized by emotional dysregulation, unstable sense of self, and impulsive, potentially self-harming behavior. In order to provide new neurophysiological insights on BPD, we complemented resting-state EEG frequency spectrum analysis with EEG microstates (MS) analysis to capture the spatiotemporal dynamics of large-scale neural networks. High-density EEG was recorded at rest in 16 BPD patients and 16 age-matched neurotypical controls. The relative power ...
Source: Brain Topography - September 30, 2023 Category: Neuroscience Authors: Marie-Pierre Deiber Camille Piguet Cristina Berchio Christoph M Michel Nader Perroud Tomas Ros Source Type: research
Resting-State EEG Microstates and Power Spectrum in Borderline Personality Disorder: A High-Density EEG Study
Brain Topogr. 2023 Sep 30. doi: 10.1007/s10548-023-01005-3. Online ahead of print.ABSTRACTBorderline personality disorder (BPD) is a debilitating psychiatric condition characterized by emotional dysregulation, unstable sense of self, and impulsive, potentially self-harming behavior. In order to provide new neurophysiological insights on BPD, we complemented resting-state EEG frequency spectrum analysis with EEG microstates (MS) analysis to capture the spatiotemporal dynamics of large-scale neural networks. High-density EEG was recorded at rest in 16 BPD patients and 16 age-matched neurotypical controls. The relative power ...
Source: Brain Topography - September 30, 2023 Category: Neuroscience Authors: Marie-Pierre Deiber Camille Piguet Cristina Berchio Christoph M Michel Nader Perroud Tomas Ros Source Type: research
Resting-State EEG Microstates and Power Spectrum in Borderline Personality Disorder: A High-Density EEG Study
Brain Topogr. 2023 Sep 30. doi: 10.1007/s10548-023-01005-3. Online ahead of print.ABSTRACTBorderline personality disorder (BPD) is a debilitating psychiatric condition characterized by emotional dysregulation, unstable sense of self, and impulsive, potentially self-harming behavior. In order to provide new neurophysiological insights on BPD, we complemented resting-state EEG frequency spectrum analysis with EEG microstates (MS) analysis to capture the spatiotemporal dynamics of large-scale neural networks. High-density EEG was recorded at rest in 16 BPD patients and 16 age-matched neurotypical controls. The relative power ...
Source: Brain Topography - September 30, 2023 Category: Neuroscience Authors: Marie-Pierre Deiber Camille Piguet Cristina Berchio Christoph M Michel Nader Perroud Tomas Ros Source Type: research
Resting-State EEG Microstates and Power Spectrum in Borderline Personality Disorder: A High-Density EEG Study
Brain Topogr. 2023 Sep 30. doi: 10.1007/s10548-023-01005-3. Online ahead of print.ABSTRACTBorderline personality disorder (BPD) is a debilitating psychiatric condition characterized by emotional dysregulation, unstable sense of self, and impulsive, potentially self-harming behavior. In order to provide new neurophysiological insights on BPD, we complemented resting-state EEG frequency spectrum analysis with EEG microstates (MS) analysis to capture the spatiotemporal dynamics of large-scale neural networks. High-density EEG was recorded at rest in 16 BPD patients and 16 age-matched neurotypical controls. The relative power ...
Source: Brain Topography - September 30, 2023 Category: Neuroscience Authors: Marie-Pierre Deiber Camille Piguet Cristina Berchio Christoph M Michel Nader Perroud Tomas Ros Source Type: research
Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms
In this report we review recent developments in quantifying microstate sequence complexity, we classify these approaches with regard to different complexity concepts, and we evaluate excess entropy as a yet unexplored quantity in microstate research. We determined the quantities entropy rate, excess entropy, Lempel-Ziv complexity (LZC), and Hurst exponents on Potts model data, a discrete statistical mechanics model with a temperature-controlled phase transition. We then applied the same techniques to EEG microstate sequences from wakefulness and non-REM sleep stages and used first-order Markov surrogate data to determine w...
Source: Brain Topography - September 26, 2023 Category: Neuroscience Authors: Frederic von Wegner Milena Wiemers Gesine Hermann Inken T ödt Enzo Tagliazucchi Helmut Laufs Source Type: research
EEG Microstates as Markers for Cognitive Impairments in Fragile X Syndrome
Brain Topogr. 2023 Sep 26. doi: 10.1007/s10548-023-01009-z. Online ahead of print.ABSTRACTFragile X syndrome (FXS) is one of the most common inherited causes of intellectual disabilities. While there is currently no cure for FXS, EEG is considered an important method to investigate the pathophysiology and evaluate behavioral and cognitive treatments. We conducted EEG microstate analysis to investigate resting brain dynamics in FXS participants. Resting-state recordings from 70 FXS participants and 71 chronological age-matched typically developing control (TDC) participants were used to derive microstates via modified k-mea...
Source: Brain Topography - September 26, 2023 Category: Neuroscience Authors: Yukari Takarae Anthony Zanesco Craig A Erickson Ernest V Pedapati Source Type: research
Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms
In this report we review recent developments in quantifying microstate sequence complexity, we classify these approaches with regard to different complexity concepts, and we evaluate excess entropy as a yet unexplored quantity in microstate research. We determined the quantities entropy rate, excess entropy, Lempel-Ziv complexity (LZC), and Hurst exponents on Potts model data, a discrete statistical mechanics model with a temperature-controlled phase transition. We then applied the same techniques to EEG microstate sequences from wakefulness and non-REM sleep stages and used first-order Markov surrogate data to determine w...
Source: Brain Topography - September 26, 2023 Category: Neuroscience Authors: Frederic von Wegner Milena Wiemers Gesine Hermann Inken T ödt Enzo Tagliazucchi Helmut Laufs Source Type: research
EEG Microstates as Markers for Cognitive Impairments in Fragile X Syndrome
Brain Topogr. 2023 Sep 26. doi: 10.1007/s10548-023-01009-z. Online ahead of print.ABSTRACTFragile X syndrome (FXS) is one of the most common inherited causes of intellectual disabilities. While there is currently no cure for FXS, EEG is considered an important method to investigate the pathophysiology and evaluate behavioral and cognitive treatments. We conducted EEG microstate analysis to investigate resting brain dynamics in FXS participants. Resting-state recordings from 70 FXS participants and 71 chronological age-matched typically developing control (TDC) participants were used to derive microstates via modified k-mea...
Source: Brain Topography - September 26, 2023 Category: Neuroscience Authors: Yukari Takarae Anthony Zanesco Craig A Erickson Ernest V Pedapati Source Type: research
Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms
In this report we review recent developments in quantifying microstate sequence complexity, we classify these approaches with regard to different complexity concepts, and we evaluate excess entropy as a yet unexplored quantity in microstate research. We determined the quantities entropy rate, excess entropy, Lempel-Ziv complexity (LZC), and Hurst exponents on Potts model data, a discrete statistical mechanics model with a temperature-controlled phase transition. We then applied the same techniques to EEG microstate sequences from wakefulness and non-REM sleep stages and used first-order Markov surrogate data to determine w...
Source: Brain Topography - September 26, 2023 Category: Neuroscience Authors: Frederic von Wegner Milena Wiemers Gesine Hermann Inken T ödt Enzo Tagliazucchi Helmut Laufs Source Type: research
EEG Microstates as Markers for Cognitive Impairments in Fragile X Syndrome
Brain Topogr. 2023 Sep 26. doi: 10.1007/s10548-023-01009-z. Online ahead of print.ABSTRACTFragile X syndrome (FXS) is one of the most common inherited causes of intellectual disabilities. While there is currently no cure for FXS, EEG is considered an important method to investigate the pathophysiology and evaluate behavioral and cognitive treatments. We conducted EEG microstate analysis to investigate resting brain dynamics in FXS participants. Resting-state recordings from 70 FXS participants and 71 chronological age-matched typically developing control (TDC) participants were used to derive microstates via modified k-mea...
Source: Brain Topography - September 26, 2023 Category: Neuroscience Authors: Yukari Takarae Anthony Zanesco Craig A Erickson Ernest V Pedapati Source Type: research
Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms
In this report we review recent developments in quantifying microstate sequence complexity, we classify these approaches with regard to different complexity concepts, and we evaluate excess entropy as a yet unexplored quantity in microstate research. We determined the quantities entropy rate, excess entropy, Lempel-Ziv complexity (LZC), and Hurst exponents on Potts model data, a discrete statistical mechanics model with a temperature-controlled phase transition. We then applied the same techniques to EEG microstate sequences from wakefulness and non-REM sleep stages and used first-order Markov surrogate data to determine w...
Source: Brain Topography - September 26, 2023 Category: Neuroscience Authors: Frederic von Wegner Milena Wiemers Gesine Hermann Inken T ödt Enzo Tagliazucchi Helmut Laufs Source Type: research
EEG Microstates as Markers for Cognitive Impairments in Fragile X Syndrome
Brain Topogr. 2023 Sep 26. doi: 10.1007/s10548-023-01009-z. Online ahead of print.ABSTRACTFragile X syndrome (FXS) is one of the most common inherited causes of intellectual disabilities. While there is currently no cure for FXS, EEG is considered an important method to investigate the pathophysiology and evaluate behavioral and cognitive treatments. We conducted EEG microstate analysis to investigate resting brain dynamics in FXS participants. Resting-state recordings from 70 FXS participants and 71 chronological age-matched typically developing control (TDC) participants were used to derive microstates via modified k-mea...
Source: Brain Topography - September 26, 2023 Category: Neuroscience Authors: Yukari Takarae Anthony Zanesco Craig A Erickson Ernest V Pedapati Source Type: research
Sleep Spindle Generation Before and After Epilepsy Surgery: A Source Imaging Study in Children with Drug-Resistant Epilepsy
CONCLUSIONS: Our data indicate alterations in the EEG slow spindles after resective epilepsy surgery. Fast spindle generation on the contrary did not change after surgery. Although the study is limited by its retrospective nature, lack of healthy controls, and reduced cortical spatial sampling, our findings suggest a spatial relationship between the slow spindles and the epileptogenic generators.PMID:37737957 | DOI:10.1007/s10548-023-01007-1 (Source: Brain Topography)
Source: Brain Topography - September 22, 2023 Category: Neuroscience Authors: Assia Chericoni Lorenzo Ricci Georgios Ntolkeras Roberto Billardello Scellig S D Stone Joseph R Madsen Christos Papadelis P Ellen Grant Phillip L Pearl Fabrizio Taffoni Alexander Rotenberg Eleonora Tamilia Source Type: research
