Session Tracksหัวข้อหลักของการประชุม

This track focuses on the latest innovations in brain imaging technologies, including MRI, PET, and CT scans. Researchers are invited to present their findings on how these technologies enhance our understanding of neurological conditions.

This session explores the development and application of brain-machine interfaces that facilitate communication between neural systems and external devices. Contributions should discuss both theoretical frameworks and practical implementations.

This track examines the methodologies used to visualize and analyze neural circuits in both healthy and diseased states. Presentations should highlight the role of imaging in understanding circuit dynamics and functionality.

This session invites discussions on the application of imaging technologies in clinical settings, focusing on their role in diagnosis and treatment planning. Emphasis will be placed on translational research that bridges laboratory findings with clinical practice.

This track investigates the relationship between cognitive aging, memory processes, and brain imaging techniques. Researchers are encouraged to present studies that utilize imaging to uncover the neural correlates of cognitive decline.

This session highlights novel imaging technologies that are shaping the future of neuroscience research. Contributions should focus on innovative techniques and their potential applications in understanding brain function.

This track is dedicated to the exploration of functional near-infrared spectroscopy (fNIRS) as a non-invasive imaging modality. Presenters are invited to discuss its applications in cognitive neuroscience and clinical settings.

This session focuses on the various imaging methodologies employed to study cognitive processes. Researchers are encouraged to share their findings on how imaging techniques elucidate the neural basis of cognition.

This track explores the principles and applications of neurofeedback in enhancing cognitive and emotional functioning. Presentations should address both the theoretical underpinnings and empirical evidence supporting its efficacy.

This session invites contributions that utilize imaging data for the modeling and analysis of complex biological systems. Emphasis will be placed on interdisciplinary approaches that integrate imaging with computational modeling.

This track focuses on the use of electrocorticogram (ECoG) and electroencephalography (EEG) in understanding brain activity. Researchers are encouraged to present studies that highlight the strengths and limitations of these techniques in various applications.