Conflict Dynamics of Post-Retrieval Extinction: A Comparative Analysis of Unconditional and Conditional Reminders Using Skin Conductance Responses and EEG
This study investigates the impact of two reminder types, mild US-reminder (US-R) and CS-reminder (CS-R), along with a no-reminder extinction, on fear recovery prevention in a categorical fear conditioning paradigm. Scalp EEG recordings during reminder and extinction processes were conducted in a three-day design. Results show that the US-R group exhibits a distinctive extinction learning pattern, characterized by a slowed-down yet successful process and pronounced theta-alpha desynchronization (source-located in the prefrontal cortex) during CS processing, followed by enhanced synchronization (source-located in the anteri...
Source: Brain Topography - April 18, 2024 Category: Neuroscience Authors: Dong-Ni Pan Delhii Hoid Oliver T Wolf Christian J Merz Xuebing Li Source Type: research
Neural signatures of imaginary motivational states: desire for music, movement and social play
Brain Topogr. 2024 Apr 16. doi: 10.1007/s10548-024-01047-1. Online ahead of print.ABSTRACTThe literature has demonstrated the potential for detecting accurate electrical signals that correspond to the will or intention to move, as well as decoding the thoughts of individuals who imagine houses, faces or objects. This investigation examines the presence of precise neural markers of imagined motivational states through the combining of electrophysiological and neuroimaging methods. 20 participants were instructed to vividly imagine the desire to move, listen to music or engage in social activities. Their EEG was recorded fro...
Source: Brain Topography - April 16, 2024 Category: Neuroscience Authors: Giada Della Vedova Alice Mado Proverbio Source Type: research
Functional Connectivity Alterations in Patients with Post-stroke Epilepsy Based on Source-level EEG and Graph Theory
Brain Topogr. 2024 Apr 16. doi: 10.1007/s10548-024-01048-0. Online ahead of print.ABSTRACTWe investigated the differences in functional connectivity based on the source-level electroencephalography (EEG) analysis between stroke patients with and without post-stroke epilepsy (PSE). Thirty stroke patients with PSE and 35 stroke patients without PSE were enrolled. EEG was conducted during a resting state period. We used a Brainstorm program for source estimation and the connectivity matrix. Data were processed according to EEG frequency bands. We used a BRAPH program to apply a graph theoretical analysis. In the beta band, ra...
Source: Brain Topography - April 16, 2024 Category: Neuroscience Authors: Dong Ah Lee Taeik Jang Jaeho Kang Seongho Park Kang Min Park Min Kang None Park Source Type: research
Neural signatures of imaginary motivational states: desire for music, movement and social play
Brain Topogr. 2024 Apr 16. doi: 10.1007/s10548-024-01047-1. Online ahead of print.ABSTRACTThe literature has demonstrated the potential for detecting accurate electrical signals that correspond to the will or intention to move, as well as decoding the thoughts of individuals who imagine houses, faces or objects. This investigation examines the presence of precise neural markers of imagined motivational states through the combining of electrophysiological and neuroimaging methods. 20 participants were instructed to vividly imagine the desire to move, listen to music or engage in social activities. Their EEG was recorded fro...
Source: Brain Topography - April 16, 2024 Category: Neuroscience Authors: Giada Della Vedova Alice Mado Proverbio Source Type: research
Functional Connectivity Alterations in Patients with Post-stroke Epilepsy Based on Source-level EEG and Graph Theory
Brain Topogr. 2024 Apr 16. doi: 10.1007/s10548-024-01048-0. Online ahead of print.ABSTRACTWe investigated the differences in functional connectivity based on the source-level electroencephalography (EEG) analysis between stroke patients with and without post-stroke epilepsy (PSE). Thirty stroke patients with PSE and 35 stroke patients without PSE were enrolled. EEG was conducted during a resting state period. We used a Brainstorm program for source estimation and the connectivity matrix. Data were processed according to EEG frequency bands. We used a BRAPH program to apply a graph theoretical analysis. In the beta band, ra...
Source: Brain Topography - April 16, 2024 Category: Neuroscience Authors: Dong Ah Lee Taeik Jang Jaeho Kang Seongho Park Kang Min Park Min Kang None Park Source Type: research
Adapted Beamforming: A Robust and Flexible Approach for Removing Various Types of Artifacts from TMS-EEG Data
Brain Topogr. 2024 Apr 10. doi: 10.1007/s10548-024-01044-4. Online ahead of print.ABSTRACTElectroencephalogram (EEG) recorded as response to transcranial magnetic stimulation (TMS) can be highly informative of cortical reactivity and connectivity. Reliable EEG interpretation requires artifact removal as the TMS-evoked EEG can contain high-amplitude artifacts. Several methods have been proposed to uncover clean neuronal EEG responses. In practice, determining which method to select for different types of artifacts is often difficult. Here, we used a unified data cleaning framework based on beamforming to improve the algorit...
Source: Brain Topography - April 10, 2024 Category: Neuroscience Authors: Johanna Metsomaa Yufei Song Tuomas P Mutanen Pedro C Gordon Ulf Ziemann Christoph Zrenner Julio C Hernandez-Pavon Source Type: research
Adapted Beamforming: A Robust and Flexible Approach for Removing Various Types of Artifacts from TMS-EEG Data
Brain Topogr. 2024 Apr 10. doi: 10.1007/s10548-024-01044-4. Online ahead of print.ABSTRACTElectroencephalogram (EEG) recorded as response to transcranial magnetic stimulation (TMS) can be highly informative of cortical reactivity and connectivity. Reliable EEG interpretation requires artifact removal as the TMS-evoked EEG can contain high-amplitude artifacts. Several methods have been proposed to uncover clean neuronal EEG responses. In practice, determining which method to select for different types of artifacts is often difficult. Here, we used a unified data cleaning framework based on beamforming to improve the algorit...
Source: Brain Topography - April 10, 2024 Category: Neuroscience Authors: Johanna Metsomaa Yufei Song Tuomas P Mutanen Pedro C Gordon Ulf Ziemann Christoph Zrenner Julio C Hernandez-Pavon Source Type: research
Adapted Beamforming: A Robust and Flexible Approach for Removing Various Types of Artifacts from TMS-EEG Data
Brain Topogr. 2024 Apr 10. doi: 10.1007/s10548-024-01044-4. Online ahead of print.ABSTRACTElectroencephalogram (EEG) recorded as response to transcranial magnetic stimulation (TMS) can be highly informative of cortical reactivity and connectivity. Reliable EEG interpretation requires artifact removal as the TMS-evoked EEG can contain high-amplitude artifacts. Several methods have been proposed to uncover clean neuronal EEG responses. In practice, determining which method to select for different types of artifacts is often difficult. Here, we used a unified data cleaning framework based on beamforming to improve the algorit...
Source: Brain Topography - April 10, 2024 Category: Neuroscience Authors: Johanna Metsomaa Yufei Song Tuomas P Mutanen Pedro C Gordon Ulf Ziemann Christoph Zrenner Julio C Hernandez-Pavon Source Type: research
Adapted Beamforming: A Robust and Flexible Approach for Removing Various Types of Artifacts from TMS-EEG Data
Brain Topogr. 2024 Apr 10. doi: 10.1007/s10548-024-01044-4. Online ahead of print.ABSTRACTElectroencephalogram (EEG) recorded as response to transcranial magnetic stimulation (TMS) can be highly informative of cortical reactivity and connectivity. Reliable EEG interpretation requires artifact removal as the TMS-evoked EEG can contain high-amplitude artifacts. Several methods have been proposed to uncover clean neuronal EEG responses. In practice, determining which method to select for different types of artifacts is often difficult. Here, we used a unified data cleaning framework based on beamforming to improve the algorit...
Source: Brain Topography - April 10, 2024 Category: Neuroscience Authors: Johanna Metsomaa Yufei Song Tuomas P Mutanen Pedro C Gordon Ulf Ziemann Christoph Zrenner Julio C Hernandez-Pavon Source Type: research
Adapted Beamforming: A Robust and Flexible Approach for Removing Various Types of Artifacts from TMS-EEG Data
Brain Topogr. 2024 Apr 10. doi: 10.1007/s10548-024-01044-4. Online ahead of print.ABSTRACTElectroencephalogram (EEG) recorded as response to transcranial magnetic stimulation (TMS) can be highly informative of cortical reactivity and connectivity. Reliable EEG interpretation requires artifact removal as the TMS-evoked EEG can contain high-amplitude artifacts. Several methods have been proposed to uncover clean neuronal EEG responses. In practice, determining which method to select for different types of artifacts is often difficult. Here, we used a unified data cleaning framework based on beamforming to improve the algorit...
Source: Brain Topography - April 10, 2024 Category: Neuroscience Authors: Johanna Metsomaa Yufei Song Tuomas P Mutanen Pedro C Gordon Ulf Ziemann Christoph Zrenner Julio C Hernandez-Pavon Source Type: research
Adapted Beamforming: A Robust and Flexible Approach for Removing Various Types of Artifacts from TMS-EEG Data
Brain Topogr. 2024 Apr 10. doi: 10.1007/s10548-024-01044-4. Online ahead of print.ABSTRACTElectroencephalogram (EEG) recorded as response to transcranial magnetic stimulation (TMS) can be highly informative of cortical reactivity and connectivity. Reliable EEG interpretation requires artifact removal as the TMS-evoked EEG can contain high-amplitude artifacts. Several methods have been proposed to uncover clean neuronal EEG responses. In practice, determining which method to select for different types of artifacts is often difficult. Here, we used a unified data cleaning framework based on beamforming to improve the algorit...
Source: Brain Topography - April 10, 2024 Category: Neuroscience Authors: Johanna Metsomaa Yufei Song Tuomas P Mutanen Pedro C Gordon Ulf Ziemann Christoph Zrenner Julio C Hernandez-Pavon Source Type: research
EEG Microstate Associated with Trait Nostalgia
Brain Topogr. 2024 Apr 9. doi: 10.1007/s10548-024-01050-6. Online ahead of print.ABSTRACTNostalgia, a self-related emotion characterized by its bittersweet yet predominantly positive nature, plays a vital role in shaping individual psychology and behavior. This includes impacts on mental and physical health, behavioral patterns, and cognitive functions. However, higher levels of trait nostalgia may be linked to potential adverse outcomes, such as increased loneliness, heightened neuroticism, and more intense experiences of grief. The specific electroencephalography (EEG) feature associated with individuals exhibiting trait...
Source: Brain Topography - April 9, 2024 Category: Neuroscience Authors: Shan Zhang Houchao Lyu Source Type: research
Voxel-Wise Fusion of 3T and 7T Diffusion MRI Data to Extract more Accurate Fiber Orientations
This study provides novel algorithms to fuse intra-subject 3T and 7T dMRI data for extracting more detailed information of voxel-wise quantitative parameters, and a new perspective to build more accurate structural brain networks.PMID:38568279 | DOI:10.1007/s10548-024-01046-2 (Source: Brain Topography)
Source: Brain Topography - April 3, 2024 Category: Neuroscience Authors: Zhanxiong Wu Xinmeng Weng Jian Shen Ming Hong Source Type: research
Voxel-Wise Fusion of 3T and 7T Diffusion MRI Data to Extract more Accurate Fiber Orientations
This study provides novel algorithms to fuse intra-subject 3T and 7T dMRI data for extracting more detailed information of voxel-wise quantitative parameters, and a new perspective to build more accurate structural brain networks.PMID:38568279 | DOI:10.1007/s10548-024-01046-2 (Source: Brain Topography)
Source: Brain Topography - April 3, 2024 Category: Neuroscience Authors: Zhanxiong Wu Xinmeng Weng Jian Shen Ming Hong Source Type: research
Voxel-Wise Fusion of 3T and 7T Diffusion MRI Data to Extract more Accurate Fiber Orientations
This study provides novel algorithms to fuse intra-subject 3T and 7T dMRI data for extracting more detailed information of voxel-wise quantitative parameters, and a new perspective to build more accurate structural brain networks.PMID:38568279 | DOI:10.1007/s10548-024-01046-2 (Source: Brain Topography)
Source: Brain Topography - April 3, 2024 Category: Neuroscience Authors: Zhanxiong Wu Xinmeng Weng Jian Shen Ming Hong Source Type: research
