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Updated: Aug 9, 2025

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
Published on: May 27, 2020
Global Functional Connectivity at Rest Is Associated with Attention: An Arterial Spin Labeling Study.
Shichun Chen1, Yakun Zhang1, Zongpai Zhang1
1Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA.
Resting-state functional connectivity (rsFC) correlates with attention markers, specifically P3 amplitudes and latencies. This finding advances understanding of attention and related brain disorders using advanced neuroimaging techniques.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Neural markers of attention, particularly the event-related potential P3 (P300), exhibit significant variability.
- Understanding the neural basis of attention is vital for diagnosing and treating attention-related brain disorders.
Purpose of the Study:
- To investigate the relationship between brain resting-state functional connectivity (rsFC) and P3 parameters (amplitude and latency).
- To explore how global and specific rsFC patterns relate to neural attention markers.
Main Methods:
- Ten participants underwent resting-state pseudo-continuous arterial spin labeling (PCASL) perfusion MRI and electroencephalography (EEG) with a visual oddball task.
- Measured brain rsFC and P3 parameters (amplitudes and latencies).
- Correlated global rsFC and specific connectivity patterns with P3 measures.
Main Results:
- Global rsFC was significantly associated with both P3 amplitudes (r=0.57, p=0.011) and P3 onset latencies (r=-0.56, p=0.012).
- Observed P3 parameters correlated with predictions from global rsFC.
- P3 onset latency linked to long-range prefrontal-parietal/limbic connections; P3 amplitudes related to broader network connections.
Conclusions:
- Resting-state PCASL and P3 measures are powerfully correlated, highlighting the role of global functional connectivity in attention.
- Findings provide insights into the neural mechanisms underlying attention and potential biomarkers for brain disorders.
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