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Active information storage in Parkinson's disease: a resting state fMRI study over the sensorimotor cortex
Aura Cristina Puche Sarmiento1, Yamile Bocanegra García2,3, John Fredy Ochoa Gómez4
1Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica, Facultad de Ingeniería, Universidad de Antioquia UdeA, Calle 70 No 52-11, 050010, Medellín, Colombia. aura.puche1@gmail.com.
Active Information Storage (AIS) reveals reduced brain dynamics in the motor cortex of early-stage Parkinson's disease (PD) patients. This nonlinear method shows higher sensitivity than fALFF for detecting PD-related neural alterations in resting-state fMRI data.
Area of Science:
- Neuroscience
- Medical Imaging
- Biophysics
Background:
- Parkinson's disease (PD) is a prevalent neurodegenerative disorder impacting motor and cognitive functions.
- While basal ganglia dysfunction is primary, cortical alterations also contribute to PD symptoms.
- Early-stage PD diagnosis and monitoring require sensitive biomarkers for subtle neural changes.
Purpose of the Study:
- To investigate alterations in brain dynamics within the motor cortex of early-stage Parkinson's disease patients.
- To evaluate the efficacy of Active Information Storage (AIS), a nonlinear method, in detecting these changes.
- To compare AIS findings with fractional Amplitude of Low Frequency Fluctuation (fALFF) in resting-state fMRI data.
Main Methods:
- Utilized resting-state functional Magnetic Resonance Imaging (rs-fMRI) to capture spontaneous brain activity.
- Applied Active Information Storage (AIS) to analyze the complex dynamics of motor cortex activity.
- Employed fractional Amplitude of Low Frequency Fluctuation (fALFF) as a complementary analysis technique.
Main Results:
- Significantly reduced AIS values were observed in the motor cortex of PD patients compared to healthy controls.
- fALFF also showed differences, but to a lesser extent than AIS.
- Correlations between AIS and fALFF suggest they capture similar neuronal phenomena.
Conclusions:
- Active Information Storage (AIS) demonstrates higher sensitivity in detecting early-stage PD-related neural alterations in the motor cortex.
- AIS offers a promising nonlinear approach for analyzing rs-fMRI data in Parkinson's disease research.
- This method may provide novel insights beyond traditional linear analysis techniques for PD.
