EEG Sensorimotor Correlates of Speed During Forearm Passive Movements

Iwane, Fumiaki; Lisi, Giuseppe; Morimoto, Jun

doi:10.1109/tnsre.2019.2934231

Cited by 11 publications

(8 citation statements)

References 52 publications

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“…Time-frequency analysis. We observed band specific power modulation for theta [4,8] Hz (26,27), beta [18,30] Hz (31,32) and gamma [60,90] Hz rhythms (17) (Fig. 2a and b).…”

Section: Resultsmentioning

confidence: 90%

“…In detail, separately for each subject and experimental condition, we apply a single-trial full-epoch baseline correction, before averaging across trials and removing the trial-averaged pre-stimulus (i.e., from −0.25 to 0.0 s) baseline. Baselines were corrected using the gain model assumption (i.e., divide by the baseline) instead of the additive model (i.e., subtract the baseline) (59, 60). Finally, the trial-averaged pre-stimulus corrected time frequency coefficients were log-transformed (10log 10 ).…”

Section: Methodsmentioning

confidence: 99%

“…Some BCIs have succeeded in decoding the presence of an ErrP during a continuous task (24)(25)(26)(27). However, these studies used experimental protocols where erroneous actions are abrupt stops of the device (24,25), errors and gamma [60,90] Hz rhythms (17) (Fig. 2a and b).…”

Section: R a F Tmentioning

confidence: 99%

“…were corrected using the gain model assumption (i.e., divide by the baseline) instead of the additive model (i.e., subtract the baseline) (59,60). Finally, the trial-averaged pre-stimulus corrected time frequency coefficients were log-transformed (10log 10 ).…”

Section: R a F Tmentioning

confidence: 99%

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EEG error-related potentials encode magnitude of errors and individual perceptual thresholds

Iwane

Iturrate

Chavarriaga

et al. 2022

Preprint

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Error-related potentials (ErrP) are a prominent electroencephalogram (EEG) correlate of performance monitoring, and so crucial for learning and adapting our behavior. Although there exists an agreement that ErrP signal awareness to errors, it remains poorly understood whether they encode further information. Here we report an experiment with sixteen participants during three recording sessions in which occasional visuomotor rotations of varying magnitude occurred during a cursor reaching task. We designed a brain-computer interface (BCI) to detect ErrP in single trials that provided real-time feedback to participants by changing the color of the cursor upon ErrP detection. The individual ErrP-BCI decoders exhibited good transfer across recording sessions and scalability over the varying magnitude of errors. Our results indicate that ErrPs encode not only the conscious perception of errors, but also their magnitude, in their amplitude and latency. Furthermore, a non-linear relationship between the ErrP-BCI output and the magnitude of errors predicts individual perceptual thresholds to detect rotations. The uncovered relationship is consistent with non-human primate studies, which found a similar relationship between the size of errors and simple spike activity of Purkinje cells, and we conjecture a cerebellar contribution to ErrP. Our experimental setup and findings open new avenues to probe and extend current theories of performance monitoring, which are based on response conflict tasks, by incorporating continuous human-interaction tasks as well as analysis of the ErrP complex as a whole rather than individual peaks.

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“…Time-frequency analysis. We observed band specific power modulation for theta [4,8] Hz (26,27), beta [18,30] Hz (31,32) and gamma [60,90] Hz rhythms (17) (Fig. 2a and b).…”

Section: Resultsmentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: R a F Tmentioning

confidence: 99%

Section: R a F Tmentioning

confidence: 99%

See 2 more Smart Citations

EEG error-related potentials encode magnitude of errors and individual perceptual thresholds

Iwane

Iturrate

Chavarriaga

et al. 2022

Preprint

Self Cite

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“…In addition, using slow walking for AO and MI would be more suitable than using fast walking because AO and MI are used in the rehabilitation of patients suffering from neurological gait dysfunction. However, movement speed would influence neural activity ( Tazoe and Perez, 2013 ; Iwane et al, 2019 ), which suggests neural activity can be affected by the walking speed of AO and MI. Thus, further studies are needed to investigate the effects of AO and MI on neural activity depending on the speed of the movement observed or imaged.…”

Section: Discussionmentioning

confidence: 99%

Changes in corticospinal and spinal reflex excitability through functional electrical stimulation with and without observation and imagination of walking

Kaneko

Sasaki²,

Yokoyama³

et al. 2022

Front. Hum. Neurosci.

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Functional electrical stimulation (FES), a method for inducing muscle contraction, has been successfully used in gait rehabilitation for patients with deficits after neurological disorders and several clinical studies have found that it can improve gait function after stroke and spinal cord injury. However, FES gait training is not suitable for patients with walking difficulty, such as those with severe motor paralysis of the lower limbs. We have previously shown that action observation combined with motor imagery (AO + MI) of walking induces walking-related cortical activity. Therefore, we combined FES, which alternately generates dorsiflexion and plantar flexion, with AO + MI as an alternative to gait training. The present study investigates the transient effects of 20-min of FES simultaneously with and without AO + MI of walking on corticospinal and spinal reflex excitability in able-bodied participants. We measured motor evoked potentials and Hoffmann-reflexes to assess corticospinal and spinal reflex excitability at rest before and after the 20-min FES with and without the AO + MI. Our results show that FES without AO + MI did not change excitability (p > 0.05), while FES with AO + MI facilitated corticospinal excitability (p < 0.05). This facilitation likely occurred due to the synchronization of sensory inputs from FES and cortical activity during AO + MI. Facilitation was observed only in the dorsiflexor but not the plantar flexor muscle (p < 0.05), suggesting muscle specificity of the facilitation. These results demonstrate the effectiveness of combining FES with AO + MI and pave the way for novel neurorehabilitation strategies for patients with neurological gait deficits.

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