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  1. Article

    Open Access

    A magnetoencephalography dataset during three-dimensional reaching movements for brain-computer interfaces

    Studying the motor-control mechanisms of the brain is critical in academia and also has practical implications because techniques such as brain-computer interfaces (BCIs) can be developed based on brain mechan...

    Hong Gi Yeom, June Sic Kim, Chun Kee Chung in Scientific Data (2023)

  2. Article

    Open Access

    Structural and functional thalamocortical connectivity study in female fibromyalgia

    Dysfunctional thalamocortical interactions have been suggested as putative mechanisms of ineffective pain modulation and also suggested as possible pathophysiology of fibromyalgia (FM). However, it remains unc...

    Dajung J. Kim, Manyoel Lim, June Sic Kim, Chun Kee Chung in Scientific Reports (2021)

  3. Article

    Open Access

    Characterization of kinesthetic motor imagery compared with visual motor imageries

    Motor imagery (MI) is the only way for disabled subjects to robustly use a robot arm with a brain-machine interface. There are two main types of MI. Kinesthetic motor imagery (KMI) is proprioceptive (OR somato...

    Yu ** Yang, Eun Jeong Jeon, June Sic Kim, Chun Kee Chung in Scientific Reports (2021)

  4. Article

    Open Access

    Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement states

    Understanding how the brain controls movements is a critical issue in neuroscience. The role of brain changes rapidly according to movement states. To elucidate the motor control mechanism of brain, it is esse...

    Hong Gi Yeom, June Sic Kim, Chun Kee Chung in Scientific Reports (2020)

  5. Article

    Open Access

    Disrupted Resting State Network of Fibromyalgia in Theta frequency

    Fibromyalgia (FM), chronic widespread pain, exhibits spontaneous pain without external stimuli and is associated with altered brain activities during resting state. To understand the topological features of br...

    Mi Kyung Choe, Manyoel Lim, June Sic Kim, Dong Soo Lee in Scientific Reports (2018)

  6. Article

    Open Access

    Tactile Frequency-Specific High-Gamma Activities in Human Primary and Secondary Somatosensory Cortices

    Humans can easily detect vibrotactile stimuli up to several hundred hertz, but underlying large-scale neuronal processing mechanisms in the cortex are largely unknown. Here, we investigated the macroscopic neu...

    Seokyun Ryun, June Sic Kim, Hyeongrae Lee, Chun Kee Chung in Scientific Reports (2017)

  7. Article

    Open Access

    Formation of visual memories controlled by gamma power phase-locked to alpha oscillations

    Neuronal oscillations provide a window for understanding the brain dynamics that organize the flow of information from sensory to memory areas. While it has been suggested that gamma power reflects feedforward...

    Hyo** Park, Dong Soo Lee, Eunjoo Kang, Hye** Kang, Jarang Hahm in Scientific Reports (2016)

  8. Article

    Open Access

    Intraindividual neurophysiological variability in ultra-high-risk for psychosis and schizophrenia patients: single-trial analysis

    Intraindividual variability in neurophysiological responses is an important factor in the study of schizophrenia. Interestingly, this variability strongly predicts individual differences in cognitive processin...

    Kyung Soon Shin, June Sic Kim, Sung Nyun Kim, Kyung Sue Hong in npj Schizophrenia (2015)

  9. Article

    Open Access

    A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals

    A brain-machine interface (BMI) should be able to help people with disabilities by replacing their lost motor functions. To replace lost functions, robot arms have been developed that are controlled by invasiv...

    Yoon Jae Kim, Sung Woo Park, Hong Gi Yeom, Moon Suk Bang in BioMedical Engineering OnLine (2015)

  10. Article

    Open Access

    Power spectral aspects of the default mode network in schizophrenia: an MEG study

    Symptoms of schizophrenia are related to deficits in self-monitoring function, which may be a consequence of irregularity in aspects of the default mode network (DMN). Schizophrenia can also be characterized b...

    June Sic Kim, Kyung Soon Shin, Wi Hoon Jung, Sung Nyun Kim in BMC Neuroscience (2014)

  11. Article

    Open Access

    Impaired coupling of local and global functional feedbacks underlies abnormal synchronization and negative symptoms of schizophrenia

    Abnormal synchronization of brain oscillations is found to be associated with various core symptoms of schizophrenia. However, the underlying mechanism of this association remains yet to be elucidated.

    Kyungchul Noh, Kyung Soon Shin, Dongkwan Shin, Jae Yeon Hwang in BMC Systems Biology (2013)

  12. No Access

    Article

    Authors’ response to the Schaller’s comment, “How eloquent is eloquent?”

    Young-Hoon Kim, June Sic Kim, Chun Kee Chung in Acta Neurochirurgica (2012)

  13. Article

    Open Access

    Resection frequency map after awake resective surgery for non-lesional neocortical epilepsy involving eloquent areas

    The resection of eloquent areas is challenging due to postoperative neurological deficits. The purpose of this study was to assess the efficacy and risk of awake brain surgery for non-lesional epilepsy involvi...

    Young-Hoon Kim, Chi Heon Kim, June Sic Kim, Sang Kun Lee in Acta Neurochirurgica (2011)

  14. No Access

    Article

    Real-time volume rendering of four-dimensional images based on three-dimensional texture map**

    A four-dimensional (4-D) image consists of three-dimensional (3-D) volume data that varies with time. It is used to express a deforming or moving object in virtual surgery or 4-D ultrasound. It is difficult to...

    **woo Hwang, June Sic Kim, Jae Seok Kim, In Young Kim in Journal of Digital Imaging (2001)

  15. No Access

    Article

    Adaptable fuzzy C-Means for improved classification as a preprocessing procedure of brain parcellation

    Parcellation, one of several brain analysis methods, is a procedure popular for subdividing the regions identified by segmentation into smaller topographically defined units. The fuzzy clustering algorithm is ...

    Ui-Cheul Yoon, June-Sic Kim, Jae-Seok Kim, In-Young Kim in Journal of Digital Imaging (2001)