Next-generation cognitive assessment: Combining functional brain imaging, system perturbations and novel equipment...

Area of Science:

• Neuroscience
• Cognitive Science
• Artificial Intelligence

Background:

• Conventional cognitive assessments are standard in clinical, research, education, and corporate settings.
• These methods quantify cognitive abilities through standardized tasks for diagnosis, ability description, or occupational matching.
• Current cognitive assessment lacks innovation in task presentation and response measurement, despite advances in neuroimaging.

Purpose of the Study:

• To review prototypes for next-generation cognitive assessment methods.
• To identify technological and other areas for progress in cognitive assessment.
• To discuss the integration of brain imaging, brain modulation, automation, and AI in future cognitive assessments.

Main Methods:

• Review of existing literature and prototypes for advanced cognitive assessment.
• Exploration of integrating neuroimaging and neuromodulation technologies.
• Discussion of the role of automation and artificial intelligence in cognitive assessment design.

Main Results:

• Prototypes demonstrate the potential for semi- and fully-automated cognitive assessments.
• Future assessments will likely involve neuroimaging and standardized neuromodulation.
• Artificial intelligence will play a key role in next-generation cognitive evaluation.

Conclusions:

• The future of cognitive assessment lies in automation, neuroimaging, and neuromodulation.
• Advancements require progress in technology and understanding the human-machine interface.
• Next-generation cognitive assessments will offer more sophisticated and objective insights into brain function.