IEEE trans: Evaluation of Fugl-Meyer Upper Limb Motion Score in Stroke Patients from Functional Connectivity Measurements

Fugl-Meyer exercise assessment provides post-stroke exercise function
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It is used to obtain a baseline assessment, as well as to monitor and quantify changes in motor function

For motor functions, the focus of rsFC analysis is the correlation between global connectivity measures and behavioral assessments (such as FMU)
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The estimation of the correlation with FMU has always been based on the primary motor cortex as the initial position

This paper proposes a method that uses consistency as a measure of functional connectivity indexes between brain regions, and uses statistical analysis of these indexes to determine the contributing brain regions associated with FMU at different frequencies

Ten stroke patients volunteered to participate in this study

At 20% and 200% additional noise levels, the regression performance of the simulated data measured by R2 is degraded

Five coherence measures are calculated for the unique combination of all electrode pairs and frequency points
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Five different consensus algorithms are used to generate non-directional functional connectivity measures between different brain regions

Partial least squares method was used to analyze the relationship between EEG functional connectivity and FMU
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PLS is a multivariate statistical method that is very suitable for analyzing large data sets, such as electrophysiological activities, especially when the number of features (that is, the measure of connectivity at different frequencies) is much larger than the number of observations (participants)

Linear fit between predicted FMU and actual FMU

Apply PLSC analysis to evaluate the correlation between the connection index and FMU at different frequencies
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Two coherence indicators (one is the average value and the other is the maximum value) were tested with five algorithms

Use the PLI processing algorithm and four determined connected channels (F7-F3, FP2-F7, F8-C4, and FC2-CZ) to perform PLSR analysis on the training set at a medium alpha frequency (11 Hz) to generate a set of regression coefficients, It is then used to predict the FMU of stroke participants in the test set
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Applying regression coefficients to the connectivity indices of SP9 and SP10 from the same four connected channels and the same mid-α band frequency, the predicted FMUs are 47 and 38, respectively, while the actual FMUs are 46 and 39, respectively

In terms of clinical relevance and applicability, identifying and eliminating non-contributing channels from FMU predictions has a good impact on the cost and establishment time of the EEG system
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When using a 7-electrode EEG system to collect 2 minutes of resting state data, the upper limb motor function assessment can be completed in less than 15 minutes

The results of the study indicate that the evaluation of neurological factors in FMU shows the promise of evaluating motor function after stroke
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The results of the study indicate that the evaluation of neurological factors in FMU shows the promise of evaluating motor function after stroke
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N.
Riahi, VA Vakorin and C.
Menon, " Estimating Fugl-Meyer Upper Extremity Motor Score From Functional-Connectivity Measures ," inIEEE Transactions on Neural Systems and Rehabilitation Engineering 

Riahi N.
, VA Vakorin and Menon, C.
, " Estimating the Fugl-Meyer Motor Score the From the Upper Extremity Functional-Connectivity the Measures ," inEstimating the Fugl-Meyer Motor Score the From the Upper Extremity Functional-Connectivity the Measures the IEEE Transactions ON Neural Systems and Rehabilitation Engineeringin This message