Center for Advanced Intelligence Project

Tomasz Rutkowski, Research Scientist of the Cognitive Behavioral Assistive Technology Team at RIKEN AIP has published a research paper titled “Machine Learning Approach for Early Onset Dementia Neurobiomarker Using EEG Network Topology Features” in Frontiers in Human Neuroscience, a peer-reviewed scientific journal.

• Authors
  Tomasz Rutkowski（RIKEN AIP/ The University of Tokyo/ Nicolaus Copernicus University)
  Masato S. Abe（Doshisha University/ RIKEN AIP)
  Tomasz Komendzinski(Nicolaus Copernicus University)
  Hikaru Sugimoto（RIKEN AIP）
  Stanisław Narębski（Nicolaus Copernicus University)
  Mihoko Otake-Matsuura（RIKEN AIP）
• Introduction:
  Modern neurotechnology research employing state-of-the-art machine learning algorithms within the so-called “AI for social good” domain contributes to improving the well-being of individuals with a disability. Using digital health technologies, home-based self-diagnostics, or cognitive decline managing approaches with neuro-biomarker feedback may be helpful for older adults to remain independent and improve their wellbeing. We report research results on early-onset dementia neuro-biomarkers to scrutinize cognitive-behavioral intervention management and digital non-pharmacological therapies.

For more information, please see the following website.
Frontiers in Human Neuroscience

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