Using fNIRS to Differentiate Between Subjective Cognitive Decline and Mild Cognitive Impairment
Author Information
Author(s): Wang Zheng, Niu Chaojie, Duan Yong, Yang Hao, Mi Jinpeng, Liu Chao, Chen Guodong, Guo Qihao
Primary Institution: Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
Hypothesis
This study aims to explore the sensitivity of fNIRS in distinguishing between subjective cognitive decline (SCD) and mild cognitive impairment (MCI).
Conclusion
fNIRS could potentially serve as a non-invasive biomarker for the early detection of dementia.
Supporting Evidence
- Patients with SCD exhibited higher average functional connectivity levels than those with MCI.
- During cognitive tasks, SCD patients showed higher hemodynamic responses in specific brain regions.
- fNIRS demonstrated a classification accuracy of 78.8% in distinguishing SCD from MCI.
Takeaway
Researchers used a special brain scan to see if they could tell the difference between people who think their memory is getting worse and those who have mild memory problems.
Methodology
Participants underwent neuropsychological assessments and fNIRS data collection while performing cognitive tasks.
Potential Biases
Potential biases in participant selection and task difficulty.
Limitations
The study may not account for all demographic factors influencing cognitive performance.
Participant Demographics
33 adults aged 55 to 85, with no significant differences in gender, age, or education level between groups.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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