Interesting works and meetings


[Article] Is What I See, What I Imagine? The Neural Overlap Between Vision and Imagination

posted Nov 1, 2020, 10:55 PM by 정민영

Breedlove et al, (2020). Generative Feedback Explains Distinct Brain Activity Codes for Seen and Mental Images. Current Biology.

  Using generative networks and functional magnetic resonance imaging (fMRI), researchers found that brain uses similar visual areas for mental imagery and vision, but it uses low-level visual areas less precisely with mental imagery than with vision. Namely, there are distinct codes for seen and mental images in the brain which can be captured by generative networks.

[Article] Meditation for mind-control

posted Oct 5, 2020, 12:55 AM by 김예지   [ updated Oct 5, 2020, 1:01 AM ]

Alpha power contrast between motor imagery and rest is widespread. (A) The Fisher score was used to plot the difference between the distributions of alpha power during motor imagery versus rest at each electrode throughout training (x-axis = session number). During the UD task, the control group (top row) displayed the expected pattern in that the difference between motor imagery and rest is determined by the presence or absence of activity over the motor cortex. However, the MBSR group produced an entirely different pattern of contrast that evolves throughout training. Brighter colors represent greater differences in alpha power between trial types. (B) Comparing the change in Fisher score across the cortex during UD control revealed the MBSR group learned to generate greater alpha power contrast between motor imagery and rest than controls across a wide range of electrodes (CBPT, P = 0.01). (C) Source imaging of the group difference in Fisher score change during the UD task again confirms the differences in learned alpha power modulation are widespread (CBPT, P < 0.001).


The team found that those with training in mindfulness-based attention and training (MBAT) were more successful in controlling the BCI, both initially and over time. Interestingly, the researchers found that differences in brain activity between the two sample groups corresponded directly with their success. The meditation group showed significantly enhanced capability of modulating their alpha rhythm, the activity pattern monitored by the BCI system to mentally control the movement of a computer cursor.

His findings are very important for the process of BCI training and the overall feasibility of non-invasive BCI control via EEG. This work shows that just a short period of MBAT training can significantly improve a subject’s skill with a BCI. This suggests that education in MBAT could provide a significant addition to BCI training.


[Article] Researchers Uncover Network Mechanism Underlying Rumination

posted Sep 1, 2020, 1:21 AM by Minji Park   [ updated Sep 1, 2020, 1:24 AM ]


        Researchers have uncovered the neural mechanism underlying rumination. The study reports when rumination occurs, coupling between the core and medial temporal lobe subsystems of the default mode network becomes elevated while coupling between the core and dorsomedial prefrontal cortex decreases. According to this study, they computed the Pearson’s correlation during the activity among different brain regions. Results revealed that couplings between the core and the medial temporal lobe (MTL) subsystems of the default mode network (DMN) were elevated while the other couplings were decreased.

        News / Article


[Article] MRI scans of the brains of 130 mammals, including humans, indicate equal connectivity

posted Jul 22, 2020, 12:32 AM by 정민영   [ updated Jul 22, 2020, 12:35 AM ]

Fig. 2

  Researchers conducted a first-of-its-kind study designed to investigate brain connectivity in 130 mammalian species. The intriguing results, contradicting widespread conjectures, revealed that brain connectivity levels are equal in all mammals, including humans.

  Their study revealed a universal law: Conservation of Brain Connectivity which denotes that the efficiency of information transfer in the brain's neural network is equal in all mammals, including humans. They also discovered  a compensation mechanism which balances the connectivity in every mammalian brain. This mechanism ensures that high connectivity in a specific area of the brain, possibly manifested through some special talent (e.g. sports or music) is always countered by relatively low connectivity in another part of the brain.

  In future projects they will investigate how the brain compensates for the enhanced connectivity associated with specific capabilities and learning processes.

Untitled

posted Jul 21, 2020, 2:14 PM by Jong-Hwan Lee   [ updated Jul 21, 2020, 2:22 PM ]


SfN 2020 (Oct. 24 - 28, virtual?; Abstract submission: Aug. 10 - 19, 2020)

posted Jul 17, 2020, 1:22 AM by Jong-Hwan Lee   [ updated Jul 17, 2020, 1:35 AM ]

MICCAI 2020 Virtual (Oct. 4 - 8; Early bird registration: Aug. 17, 2020)

posted Jul 17, 2020, 1:18 AM by Jong-Hwan Lee   [ updated Jul 17, 2020, 1:37 AM ]

OHBM 2020 Virtual

posted Jul 17, 2020, 1:09 AM by Jong-Hwan Lee   [ updated Jul 21, 2020, 2:15 PM ]

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