Corticokinematic coherence during active and passive finger movements

Piitulainen, Harri; Bourguignon, Mathieu; Tiège, Xavier De; Hari, Riitta; Jousmäki, Veikko

doi:10.1016/j.neuroscience.2013.02.002

Cited by 70 publications

(141 citation statements)

References 39 publications

Supporting

Mentioning

126

Contrasting

Order By: Relevance

“…Recent CKC studies also detected the coupling between the cortex and finger at the low-frequency band of repetitive finger movements (Piitulainen et al, 2013a(Piitulainen et al, , 2013bBourguignon et al, 2015). These studies concluded that SM1 was primarily activated by proprioceptive reafferents.…”

Section: Generator Mechanism Of the Low-cmcmentioning

confidence: 90%

“…Moreover, the effect of cutaneous sensation was insignificant in the present study. Piitulainen et al (2013a) reported that finger CKC is mainly due to the proprioception from finger muscle spindles during flexion-extension movements, with cutaneous inputs having a negligible effect. The authors suggested that this is because ''gating'' of cutaneous inputs occurred during finger movements, which was indicated by the fact that the intensities of cutaneous stimuli were perceived as being weaker (Milne et al, 1988), with higher perceptual thresholds (Angel and Malenka, 1982).…”

Section: Generator Mechanism Of the Low-cmcmentioning

confidence: 99%

“…Recent studies on cortico-kinematic coherence (CKC) using an accelerometer demonstrated that the primary sensorimotor cortex (SM1) is strongly coherent at the low frequency band during repetitive finger movements (Piitulainen et al, 2013a(Piitulainen et al, , 2013bBourguignon et al, 2015). These studies suggest that the CKC at the low frequency band mainly reflects proprioceptive afferent input from muscle spindles to the contralateral SM1.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cortico-muscular synchronization by proprioceptive afferents from the tongue muscles during isometric tongue protrusion

et al. 2016

View full text Add to dashboard Cite

Tongue movements contribute to oral functions including swallowing, vocalizing, and breathing. Fine tongue movements are regulated through efferent and afferent connections between the cortex and tongue. It has been demonstrated that cortico-muscular coherence (CMC) is reflected at two frequency bands during isometric tongue protrusions: the beta (β) band at 15-35 Hz and the low-frequency band at 2-10 Hz. The CMC at the β band (β-CMC) reflects motor commands from the primary motor cortex (M1) to the tongue muscles through hypoglossal motoneuron pools. However, the generator mechanism of the CMC at the low-frequency band (low-CMC) remains unknown. Here, we evaluated the mechanism of low-CMC during isometric tongue protrusion using magnetoencephalography (MEG). Somatosensory evoked fields (SEFs) were also recorded following electrical tongue stimulation. Significant low-CMC and β-CMC were observed over both hemispheres for each side of the tongue.Time-domain analysis showed that the MEG signal followed the electromyography signal for low-CMC, which was contrary to the finding that the MEG signal preceded the electromyography signal for β-CMC. The mean conduction time from the tongue to the cortex was not significantly different between the low-CMC (mean, 80.9 ms) and SEFs (mean, 71.1 ms). The cortical sources of low-CMC were located significantly posterior (mean, 10.1 mm) to the sources of β-CMC in M1, but were in the same area as tongue SEFs in the primary somatosensory cortex (S1). These results reveal that the low-CMC may be driven by proprioceptive afferents from the tongue muscles to S1, and that the oscillatory interaction was derived from each side of the tongue to both hemispheres. Oscillatory proprioceptive feedback from the tongue muscles may aid in the coordination of sophisticated tongue movements in humans.

show abstract

Section: Generator Mechanism Of the Low-cmcmentioning

confidence: 90%

Section: Generator Mechanism Of the Low-cmcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cortico-muscular synchronization by proprioceptive afferents from the tongue muscles during isometric tongue protrusion

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Our method could however apply to cortex-muscle coherence Salenius et al, 1997Salenius et al, , 1996, corticokinmeatic coherence with active, passive or observed movements (Bourguignon et al, , 2012(Bourguignon et al, , 2011Jerbi et al, 2007;Marty et al, 2015;Piitulainen et al, 2015Piitulainen et al, , 2013aPiitulainen et al, , 2013b, and brain connectivity obtained with seed-based correlation or coherence (Brookes et al, 2012;de Pasquale et al, 2010;Hipp et al, 2012;Wens et al, 2014aWens et al, , 2014b. Also, we have demonstrated that our method of location comparison works with power-ratio maps, although it is too conservative in that context.…”

Section: Perspectivesmentioning

confidence: 98%

Contrasting functional imaging parametric maps: The mislocation problem and alternative solutions

2018

View full text Add to dashboard Cite

A B S T R A C TIn the field of neuroimaging, researchers often resort to contrasting parametric maps to identify differences between conditions or populations. Unfortunately, contrast patterns mix effects related to amplitude and location differences and tend to peak away from sources of genuine brain activity to an extent that scales with the smoothness of the maps. Here, we illustrate this mislocation problem on source maps reconstructed from magnetoencephalographic recordings and propose a novel, dedicated location-comparison method. In realistic simulations, contrast mislocation was on average~10 mm when genuine sources were placed at the same location, and was still above 5 mm when sources were 20 mm apart. The dedicated location-comparison method achieved a sensitivity of~90% when inter-source distance was 12 mm. Its benefit is also illustrated on real brain-speech entrainment data. In conclusion, contrasts of parametric maps provide precarious information for source location. To specifically address the question of location difference, one should turn to dedicated methods as the one proposed here.

show abstract

“…One recently introduced method for such purposes is corticokinematic coherence (CKC), the Page 6/35 coupling between MEG signals and hand kinematics during fast repetitive active and passive hand movements (Bourguignon et al, 2011(Bourguignon et al, , 2013Piitulainen et al, 2013aPiitulainen et al, , 2013b. CKC peaks at movement frequency (and its first harmonic) and its main cortical sources lay in the primary sensorimotor (SM1) cortex, contralateral to the moved hand (Bourguignon et al, 2011(Bourguignon et al, , 2012.…”

Section: Introductionmentioning

confidence: 99%

Reliable recording and analysis of MEG-based corticokinematic coherence in the presence of strong magnetic artifacts

Bourguignon

Whitmarsh

Piitulainen

et al. 2016

Clinical Neurophysiology

View full text Add to dashboard Cite

Corticokinematic coherence during active and passive finger movements

Cited by 70 publications

References 39 publications

Cortico-muscular synchronization by proprioceptive afferents from the tongue muscles during isometric tongue protrusion

Cortico-muscular synchronization by proprioceptive afferents from the tongue muscles during isometric tongue protrusion

Contrasting functional imaging parametric maps: The mislocation problem and alternative solutions

Reliable recording and analysis of MEG-based corticokinematic coherence in the presence of strong magnetic artifacts

Contact Info

Product

Resources

About