Working Memory Decline in Alzheimer’s Disease Is Detected by Complexity Analysis of Multimodal EEG-fNIRS

Figures

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  Figure 1. Experimental paradigm. The tasks were consecutively administered to the participants and separated by 1-min rest periods, as they are usually performed in clinical practice.

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  Figure 2. (a) Electroencephalography (EEG)-fNIRS (functional Near Infrared Spectroscopy) probes placed onto an indicative participant head. The fNIRS optodes were in contact with the scalp exploiting the space among the electrodes of the EEG cap. (b) EEG-fNIRS probes projected onto a template head. The high-density EEG layout was in agreement with the 10/20 system, and the fNIRS probes were positioned with reference to the EEG electrodes.

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  Figure 3. Classification results related to Rey–Osterrieth complex figure (ROCF) (copying). (a) Receiver Operating Characteristic (ROC) curve obtained employing the cross-validated classification performed using all the complexity metrics evaluated; (b) General Linear Model (GLM) β-weights associated to each regressor.

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  Figure 4. Classification results related to Raven progressive matrices (RPM). (a) ROC curve obtained employing the cross-validated classification performed using all the complexity metrics evaluated; (b) GLM β-weights associated to each regressor.

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  Figure 5. Classification results related to ROCF (recall). (a) ROC curve obtained employing the cross-validated classification performed using all the complexity metrics evaluated; (b) GLM β-weights associated to each regressor.