Comparison Between a Real Sequential Finger and Imagery Movements: An fMRI Study Revisited

Ueno, Takefumi; Inoue, M.; Matsuoka, Toshimasa; Abe, Toshi; Maeda, Hideo; Morita, Kiichirou

doi:10.1007/s11682-009-9087-y

Cited by 17 publications

(6 citation statements)

References 20 publications

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“…Particularly, increases of movement sequence complexity showed an association with pronounced increases in the ipsilateral network, particularly in the ipsilateral brain regions. These results are consistent with several findings of bilateral activation of sensorimotor areas during sequential finger movement [19][20][21] . In addition, sequential movements showed an association with intense brain activation in several bilateral regions, whereas single movements were associated with less activation in fewer regions, but with greater laterality 22) .…”

Section: Discussionsupporting

confidence: 93%

Changes in Cerebral and Cerebellar Activation Patterns Induced by Short-term Sequence Learning of a Serial Reaction Time Task: an fMRI Study

Kwon¹,

Park

2013

J Phys Ther Sci

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Abstract.[Purpose] The purpose of this study was to investigate the neural mechanisms of the brain regions activated by training dependent changes in large-scale motor networks induced by performance of sequential motor learning, using functional MRI.[Method] Twenty healthy subjects were recruited, who were randomly allocated to the training or control group. The training group performed a serial reaction time task for two weeks, whereas the control group did not receive any training. Behavioral assessment was conducted in terms of response accuracy and reaction time during pre-and post-fMRI scanning.[Results] The training group showed a significant improvement in motor performance. On the other hand, the control group also showed a slight improvement of performance. After the two-week training, activations of all areas observed on the initial fMRI showed a remarkable decrease, whereas no differences or slight increases were observed in the change of activation in the control group. In the cerebellar activation of the training group, the most prominent change was observed in the medial cerebellar area, and contralateral deep cerebellar nuclei were newly activated.[Conclusion] Our findings suggest that brain reorganization for sequential motor learning was induced by motor sequence acquisition, and that decreased cerebral and increased cerebellar activity during explicit learning might be related to familiarity with the task.

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Section: Discussionsupporting

confidence: 93%

Changes in Cerebral and Cerebellar Activation Patterns Induced by Short-term Sequence Learning of a Serial Reaction Time Task: an fMRI Study

Kwon¹,

Park

2013

J Phys Ther Sci

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“…fMRI has also been used to demonstrate that ipsilateral cortical regions are involved in sequential imaginary hand movements (Ueno et al, 2010). It has also been suggested with fMRI that cerebellar regions are activated during finger movements that are paced in time from memory as opposed to visual cues (Kawashima et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Decoding repetitive finger movements with brain activity acquired via non-invasive electroencephalography

2014

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We investigated how well repetitive finger tapping movements can be decoded from scalp electroencephalography (EEG) signals. A linear decoder with memory was used to infer continuous index finger angular velocities from the low-pass filtered fluctuations of the amplitude of a plurality of EEG signals distributed across the scalp. To evaluate the accuracy of the decoder, the Pearson's correlation coefficient (r) between the observed and predicted trajectories was calculated in a 10-fold cross-validation scheme. We also assessed attempts to decode finger kinematics from EEG data that was cleaned with independent component analysis (ICA), EEG data from peripheral sensors, and EEG data from rest periods. A genetic algorithm (GA) was used to select combinations of EEG channels that maximized decoding accuracies. Our results (lower quartile r = 0.18, median r = 0.36, upper quartile r = 0.50) show that delta-band EEG signals contain useful information that can be used to infer finger kinematics. Further, the highest decoding accuracies were characterized by highly correlated delta band EEG activity mostly localized to the contralateral central areas of the scalp. Spectral analysis of EEG also showed bilateral alpha band (8–13 Hz) event related desynchronizations (ERDs) and contralateral beta band (20–30 Hz) event related synchronizations (ERSs) localized over central scalp areas. Overall, this study demonstrates the feasibility of decoding finger kinematics from scalp EEG signals.

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“…The prefrontal cortex, the lateral premotor cortex, and the rostral and caudal supplementary motor areas have been identified as key regions in these processes (Lotze and Halsband, 2006). Several imaging studies suggest that pre-executive stages in motor production may be bilaterally represented during motor imagery (Porro et al, 2000;Ueno et al, 2010). However, other methods such as magnetic stimulation studies do not identify motor-evoked potentials in the nondominant hand during motor imagery (Fadiga et al, 1999;Stinear et al, 2006b).…”

mentioning

confidence: 99%

Motor Imagery in Bipolar Depression With Slowed Movement

Liberg¹,

Adler²,

Jönsson³

et al. 2013

Journal of Nervous &Amp; Mental Disease

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We hypothesized that motor retardation in bipolar depression is mediated by disruption of the pre-executive stages of motor production. We used functional magnetic resonance imaging to investigate neural activity during motor imagery and motor execution to elucidate whether brain regions that mediate planning, preparation, and control of movement are activated differently in subjects with bipolar depression (n = 9) compared with healthy controls (n = 12). We found significant between-group differences. During motor imagery, the patients activated the posterior medial parietal cortex, the posterior cingulate cortex, the premotor cortex, the prefrontal cortex, and the frontal poles more than the controls did. Activation in the brain areas involved in motor selection, planning, and preparation was altered. In addition, limbic and prefrontal regions associated with self-reference and the default mode network were altered during motor imagery in bipolar depression with motor retardation.

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Comparison Between a Real Sequential Finger and Imagery Movements: An fMRI Study Revisited

Cited by 17 publications

References 20 publications

Changes in Cerebral and Cerebellar Activation Patterns Induced by Short-term Sequence Learning of a Serial Reaction Time Task: an fMRI Study

Changes in Cerebral and Cerebellar Activation Patterns Induced by Short-term Sequence Learning of a Serial Reaction Time Task: an fMRI Study

Decoding repetitive finger movements with brain activity acquired via non-invasive electroencephalography

Motor Imagery in Bipolar Depression With Slowed Movement

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