Spatio-temporal differences in brain oxygenation between movement execution and imagery: A multichannel near-infrared spectroscopy study

Wriessnegger, Selina; Kurzmann, Jürgen; Neuper, Christa

doi:10.1016/j.ijpsycho.2007.10.004

Cited by 96 publications

(79 citation statements)

References 57 publications

(75 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the interval (0, 10) of three imagined hand clenching force tasks, HbO displayed a negative change and had a negative peak at the left motor cortex (NIRS channel 21). The order for the negative peak (NP) magnitude from high to low was NP 20 , NP 50 , and NP 80 , and the order for the negative peak latency (NPL) from long to short was NPL 80 , NPL 50 , and NPL 20 . After the negative peak, HbO responses to three imagined hand clenching force tasks trended to positive change and a positive peak about 6-8 s after motor imagery ended (t =10 s).…”

Section: Discussionmentioning

confidence: 99%

“…After the negative peak, HbO responses to three imagined hand clenching force tasks trended to positive change and a positive peak about 6-8 s after motor imagery ended (t =10 s). The order for the positive peak (PP) magnitude from high to low was PP 50 , PP 20 , and PP 80 ; the order for the positive peak latency (PPL) from long to short was PPL 80 , PPL 50 , and PPL 20 . EEG at C3 did bring a corresponding change in HbO at NIRS channel 21 (EEG at C3 did not correspond to HbO at NIRS channel 21).…”

Section: Discussionmentioning

confidence: 99%

“…In addition, studies have shown that both actual movement and motor imagery can modulate EEG [14]- [19] and NIRS activity [20]- [26]. However, it remains to be determined whether imagined hand clenching force and speed can modulate NIRS and EEG signals.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG

Xiong

Jiang

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

View full text Add to dashboard Cite

-Simultaneous acquisition of brain activity signals from the sensorimotor area using NIRS combined with EEG, imagined hand clenching force and speed modulation of brain activity, as well as 6-class classification of these imagined motor parameters by NIRS-EEG were explored. Near infrared probes were aligned with C3 and C4, and EEG electrodes were placed midway between the NIRS probes. NIRS and EEG signals were acquired from six healthy subjects during six imagined hand clenching force and speed tasks involving the right hand. The results showed that NIRS combined with EEG is effective for simultaneously measuring brain activity of the sensorimotor area. The study also showed that in the duration of (0, 10) s for imagined force and speed of hand clenching, HbO first exhibited a negative variation trend, which was followed by a negative peak. After the negative peak, it exhibited a positive variation trend with a positive peak about 6-8 s after termination of imagined movement. During (−2, 1) s, the EEG may have indicated neural processing during the preparation, execution, and monitoring of a given imagined force and speed of hand clenching. The instantaneous phase, frequency, and amplitude feature of the EEG were calculated by Hilbert transform; HbO and the difference between HbO and Hb concentrations were extracted. The features of NIRS and EEG were combined to classify three levels of imagined Index Terms-Brain-computer interface, electroencephalogram (EEG), imagined force and speed of hand clenching, near infrared spectroscopy (NIRS), NIRS-EEG.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG

Xiong

Jiang

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

View full text Add to dashboard Cite

show abstract

“…Most studies were performed in healthy subjects (Cooper, et al 2006;Coyle, et al 2007;Coyle, et al 2004;Miyai, et al 2001;Sitaram, et al 2007;Wriessnegger, et al 2008) (except a case study in a patient suffering from amyotrophic lateral sclerosis (ALS) (Fuchino, et al 2008)) and used imagery of hand movements (except one that used imagery of gait (Miyai, et al 2001)). …”

Section: Motor Imagery Measured By Fnirsmentioning

confidence: 99%

“…Further, only few studies included a control condition, such as overt movement execution according to the simulation hypothesis (Miyai, et al 2001;Sitaram, et al 2007). While some of these studies focused on various aspects of MI performance (Cooper, et al 2006;Fuchino, et al 2008;Miyai, et al 2001;Wriessnegger, et al 2008), others focused on the context of brain computer interfaces (BCIs) aimed to be developed as training tools in neurorehabilitation (Coyle, et al 2007;Coyle, et al 2004;Sitaram, et al 2007). …”

Section: Motor Imagery Measured By Fnirsmentioning

confidence: 99%

Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy

Holper¹,

Wolf²

2010

NeuroImage

View full text Add to dashboard Cite

Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy AbstractThe objective of this study was to describe brain oxygenation patterns during motor imagery (MI) in response to feedback using functional near-infrared spectroscopy (fNIRS). fNIRS was recorded over the primary motor cortex in 15 healthy subjects using a right hand motor task during four fake feedback conditions: MI without Feedback (MI(0)), MI with positive (MI(+)) and negative Feedback (MI(-)) and during actual movement execution (ME) as control task.Behavioral data were collected using the Edinburgh Handedness Inventory (EHI) and TheKinesthetic and Visual Imagery Questionnaire (KVIQ-10).We observed inter-condition differences and inter-subject variability in signal amplitude with larger O 2 Hb concentration changes both in response to MI(+) (0.154 ± 0.067 μmol/l) and MI(-) (0.129 ± 0.074 μmol/l) as compared to MI(0) (0.109 ± 0.024 μmol/l) and ME (0.210 ± 0.013We present fNIRS data of MI performance in response to different feedback conditions indicating that there exist distinct oxygenation patterns. These data may contribute to the development of fNIRS controlled feedback systems.

show abstract

Awareness of embodiment enhances enjoyment and engages sensorimotor cortices

Moffat,

Cross

2024

Human Brain Mapping

View full text Add to dashboard Cite

Whether in performing arts, sporting, or everyday contexts, when we watch others move, we tend to enjoy bodies moving in synchrony. Our enjoyment of body movements is further enhanced by our own prior experience with performing those movements, or our ‘embodied experience’. The relationships between movement synchrony and enjoyment, as well as embodied experience and movement enjoyment, are well known. The interaction between enjoyment of movements, synchrony, and embodiment is less well understood, and may be central for developing new approaches for enriching social interaction. To examine the interplay between movement enjoyment, synchrony, and embodiment, we asked participants to copy another person's movements as accurately as possible, thereby gaining embodied experience of movement sequences. Participants then viewed other dyads performing the same or different sequences synchronously, and we assessed participants' recognition of having performed these sequences, as well as their enjoyment of each movement sequence. We used functional near‐infrared spectroscopy to measure cortical activation over frontotemporal sensorimotor regions while participants performed and viewed movements. We found that enjoyment was greatest when participants had mirrored the sequence and recognised it, suggesting that awareness of embodiment may be central to enjoyment of synchronous movements. Exploratory analyses of relationships between cortical activation and enjoyment and recognition implicated the sensorimotor cortices, which subserve action observation and aesthetic processing. These findings hold implications for clinical research and therapies seeking to foster successful social interaction.

show abstract

Spatio-temporal differences in brain oxygenation between movement execution and imagery: A multichannel near-infrared spectroscopy study

Cited by 96 publications

References 57 publications

Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG

Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG

Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy

Awareness of embodiment enhances enjoyment and engages sensorimotor cortices

Contact Info

Product

Resources

About