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Propagation of Action Potentials

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Physiological interference in effective connectivity of action network.

Jo-Mei Huang¹, Chou-Ming Cheng, Chih-Che Chou

¹Department of Physical Medicine & Rehabilitation, Chang Gung Memorial Hospital, Keelung, Taiwan.

|November 21, 2012

Summary

Physiological signals significantly interfere with functional network connectivity (FNC) analysis in fMRI studies. Correcting for these effects using RETROICOR improves the accuracy of action network interpretation.

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Corticospinal Excitability Modulation During Action Observation

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Published on: December 31, 2013

Area of Science:

Neuroimaging
Systems Neuroscience
Physiological Signal Processing

Background:

Physiological signals like heart rate and respiration can introduce artifacts into functional MRI (fMRI) data.
These artifacts can distort measures of functional network connectivity (FNC), particularly time-lag FNC.
Accurate interpretation of brain network dynamics during tasks requires mitigating these physiological confounds.

Purpose of the Study:

To investigate the impact of physiological signal interference on time-lag FNC derived from fMRI.
To evaluate the effectiveness of retrospective image-based correction (RETROICOR) in mitigating these effects.
To determine if RETROICOR improves the interpretability of action-related brain networks.

Main Methods:

fMRI data acquired during a motor task from 25 participants.
Collected behavioral (reaction time) and physiological (ECG, respiration, pulsation) data.
Applied standard preprocessing, RETROICOR for physiological artifact removal, and group independent component analysis (ICA).
Constructed time-lag FNC by calculating maximal correlation coefficients among selected action-related components.

Main Results:

Physiological effects significantly influenced time-lag FNC, altering direction and connectivity strength.
RETROICOR reduced physiological signal interference by an average of 0.63 dB in the 0.02-0.25 Hz range (P<0.0005).
FNC analysis with RETROICOR yielded more interpretable action networks, including clearer interhemispheric inhibition patterns, and reduced connectivity with the ventricular component.

Conclusions:

Physiological signal interference poses a significant challenge for accurate time-lag FNC interpretation in fMRI.
RETROICOR is an effective method for reducing physiological artifacts and improving the reliability of FNC analysis.
Corrected FNC maps provide a more accurate representation of brain network dynamics during motor tasks.