Cortical activation during executed, imagined, observed, and passive wrist movements in healthy volunteers and stroke patients

Szameitat, André J.; Shen, Suhung; Conforto, Adriana Bastos; Sterr, Annette

doi:10.1016/j.neuroimage.2012.05.009

Cited by 130 publications

(111 citation statements)

References 112 publications

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“…The data we obtained during the mapping experiment is consistent with previous studies [33], [39]. More specifically, our findings corroborate that activity in the frequency band is generally associated with aspects such as relaxation, closed eye-lids and, the most important for our study's purpose, de-synchronization is associated with inhibition control or motor responses (see [40] for review).…”

Section: Discussionsupporting

confidence: 91%

Using a Hybrid Brain Computer Interface and Virtual Reality System to Monitor and Promote Cortical Reorganization through Motor Activity and Motor Imagery Training

Badia

Morgade

Samaha

et al. 2013

IEEE Trans. Neural Syst. Rehabil. Eng.

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Abstract-Stroke is one of the leading causes of adult disability with high economical and societal costs. In recent years, novel rehabilitation paradigms have been proposed to address the life-long plasticity of the brain to regain motor function. We propose a hybrid brain-computer interface (BCI)-virtual reality (VR) system that combines a personalized motor training in a VR environment, exploiting brain mechanisms for action execution and observation, and a neuro-feedback paradigm using mental imagery as a way to engage secondary or indirect pathways to access undamaged cortico-spinal tracts. Furthermore, we present the development and validation experiments of the proposed system. More specifically, EEG data on nine naïve healthy subjects show that a simultaneous motor activity and motor imagery paradigm is more effective at engaging cortical motor areas and related networks to a larger extent. Additionally, we propose a motor imagery driven BCI-VR version of our system that was evaluated with nine different healthy subjects. Data show that users are capable of controlling a virtual avatar in a motor imagery training task that dynamically adjusts its difficulty to the capabilities of the user. User self-report questionnaires indicate enjoyment and acceptance of the proposed system. Index Terms-Brain-computer interface (BCI), mirror neurons, motor imagery, neuro-feeback, personalized training, stroke, virtual reality.

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Section: Discussionsupporting

confidence: 91%

Using a Hybrid Brain Computer Interface and Virtual Reality System to Monitor and Promote Cortical Reorganization through Motor Activity and Motor Imagery Training

Badia

Morgade

Samaha

et al. 2013

IEEE Trans. Neural Syst. Rehabil. Eng.

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show abstract

“…To summarize the findings: The conventional BOLD amplitude map is in agreement with previously published fMRI motor imagery experiments [15,[54][55][56][57][58][59][60]62,64,70]. BOLD flux maps were more widespread than BOLD amplitude maps, but there were also regions in BOLD amplitude responses without corresponding increases in BOLD flux in the SMA.…”

Section: Implications Towards Conservation Laws Affecting Neuronal Dysupporting

confidence: 87%

“…Here we chose this kind of task as it normally elicits strong BOLD responses in various brain areas [55][56][57][58][59][60][61][62][63][64], and due to its widespread application in the study of disorders of consciousness [65,66].…”

Section: Motivationmentioning

confidence: 99%

Searching for Conservation Laws in Brain Dynamics—BOLD Flux and Source Imaging

Voss

Schiff

2014

Entropy

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Blood-oxygen-level-dependent (BOLD) imaging is the most important noninvasive tool to map human brain function. It relies on local blood-flow changes controlled by neurovascular coupling effects, usually in response to some cognitive or perceptual task. In this contribution we ask if the spatiotemporal dynamics of the BOLD signal can be modeled by a conservation law. In analogy to the description of physical laws, which often can be derived from some underlying conservation law, identification of conservation laws in the brain could lead to new models for the functional organization of the brain. Our model is independent of the nature of the conservation law, but we discuss possible hints and motivations for conservation laws. For example, globally limited blood supply and local competition between brain regions for blood might restrict the large scale BOLD signal in certain ways that could be observable. One proposed selective pressure for the evolution of such conservation laws is the closed volume of the skull limiting the expansion of brain tissue by increases in blood volume. These ideas are demonstrated on a mental motor imagery fMRI experiment, in which functional brain activation was mapped in a group of volunteers imagining themselves swimming. In order to search for local conservation laws during this complex cognitive process, we derived maps of quantities resulting from spatial interaction of the BOLD amplitudes. Specifically, we mapped fluxes and sources of the BOLD signal, terms that would appear in a description by a continuity equation. Whereas we cannot present final answers with the particular analysis of this particular experiment, some results seem to be non-trivial. For example, we found that OPEN ACCESSEntropy 2014, 16 3690 during task the group BOLD flux covered more widespread regions than identified by conventional BOLD mapping and was always increasing during task. It is our hope that these results motivate more work towards the search for conservation laws in neuroimaging experiments or at least towards imaging procedures based on spatial interactions of signals. The payoff could be new models for the dynamics of the healthy brain or more sensitive clinical imaging approaches, respectively.

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“…Previous studies that compared observation, imagery, and execution have included the measurement of the reaching movements of arms using fMRI [8], the reaching motion of the arm using virtual reality and fNIRS [46], wrist movements using fMRI [47], hand movements using transcranial magnetic stimulation (TMS) [48,49], finger movements using fMRI [7], ankle movements using fMRI [50], and the squatting movements of the lower limbs using the heart and breathing rates as indicators [51]. Each of these studies reported similar results under all three conditions.…”

Section: Comparison Of Movement Modesmentioning

confidence: 99%

Brain Activity during the Observation, Imagery, and Execution of Tool Use: An fNIRS/EEG Study

Nakano¹

2012

J Nov Physiother

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Cortical activation during executed, imagined, observed, and passive wrist movements in healthy volunteers and stroke patients

Cited by 130 publications

References 112 publications

Using a Hybrid Brain Computer Interface and Virtual Reality System to Monitor and Promote Cortical Reorganization through Motor Activity and Motor Imagery Training

Using a Hybrid Brain Computer Interface and Virtual Reality System to Monitor and Promote Cortical Reorganization through Motor Activity and Motor Imagery Training

Searching for Conservation Laws in Brain Dynamics—BOLD Flux and Source Imaging

Brain Activity during the Observation, Imagery, and Execution of Tool Use: An fNIRS/EEG Study

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