Functional motor-cortex mapping using corticokinematic coherence

Bourguignon, Mathieu; Tiège, Xavier De; Beeck, Marc Op De; Pirotte, Benoît; Bogaert, Patrick Van; Goldman, Serge; Hari, Riitta; Jousmäki, Veikko

doi:10.1016/j.neuroimage.2011.01.031

Cited by 87 publications

(129 citation statements)

References 55 publications

(75 reference statements)

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“…These results show that CKC is a fast and reliable tool to locate the SM1 cortex, worth considering as an addition to somatosensory evoked fields (SEFs) (Bourguignon et al, 2011(Bourguignon et al, , 2013, which, so far, form the 'gold standard' in MEG mapping of the SM1 cortex (Burgess et al, 2011;Hari and Forss, 1999;Korvenoja et al, 2006;Mäkelä et al, 2001). Besides allowing to locate the SM1 cortex, CKC provides a unique tool to quantify proprioceptive afference to the cortex Piitulainen et al, 2013b) with a potential for multiple clinical applications.…”

Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

“…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. The high level of coherence typically obtained in CKC experiments is robust enough for reliable examination of the signal shape (to obtain information about proprioceptive afference to the cortex) and to successfully locate the SM1 cortex at the individual level with only ~3-min recordings (Bourguignon et al, 2011(Bourguignon et al, , 2013.…”

Section: Introductionmentioning

confidence: 99%

“…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. The high level of coherence typically obtained in CKC experiments is robust enough for reliable examination of the signal shape (to obtain information about proprioceptive afference to the cortex) and to successfully locate the SM1 cortex at the individual level with only ~3-min recordings (Bourguignon et al, 2011(Bourguignon et al, , 2013. The recording time can even be decreased to 1-min, as was reported in a CKC study in which precisely timed passive movements were generated with a movement actuator based on pneumatic artificial muscle (PAM) stimulator .…”

Section: Introductionmentioning

confidence: 99%

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

Bourguignon

Whitmarsh

Piitulainen

et al. 2016

Clinical Neurophysiology

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Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Bourguignon

Whitmarsh

Piitulainen

et al. 2016

Clinical Neurophysiology

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“…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

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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.

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The pace of prosodic phrasing couples the listener's cortex to the reader's voice

Bourguignon

Tiège

Beeck

et al. 2012

Human Brain Mapping

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We studied online coupling between a reader's voice and a listener's cortical activity using a novel, ecologically valid continuous listening paradigm. Whole-scalp magnetoencephalographic (MEG) signals were recorded from 10 right-handed, native French-speaking listeners in four conditions: a female (Exp1f) and a male (Exp1m) reading the same text in French; a male reading a text in Finnish (Exp 2), a language incomprehensible for the subjects, and a male humming Exp1 text (Exp 3). The fundamental frequency (f0) of the reader's voice was recorded with an accelerometer attached to the throat, and coherence was computed between f0 time-course and listener's MEG. Similar levels of right-hemisphere-predominant coherence were found at ˜0.5 Hz in Exps 1-3. Dynamic imaging of coherent sources revealed that the most coherent brain regions were located in the right posterior superior temporal sulcus (pSTS) and posterior superior temporal gyrus (pSTG) in Exps 1-2 and in the right supratemporal auditory cortex in Exp 3. Comparison between speech rhythm and phrasing suggested a connection of the observed coherence to pauses at the sentence level both in the spoken and hummed text. These results demonstrate significant coupling at ∼0.5 Hz between reader's voice and listener's cortical signals during listening to natural continuous voice. The observed coupling suggests that voice envelope fluctuations, due to prosodic rhythmicity at the phrasal and sentence levels, are reflected in the listener's cortex as rhythmicity of about 2-s cycles. The predominance of the coherence in the right pSTS and pSTG suggests hemispherical asymmetry in processing of speech sounds at subsentence time scales.

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Functional motor-cortex mapping using corticokinematic coherence

Cited by 87 publications

References 55 publications

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

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

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

The pace of prosodic phrasing couples the listener's cortex to the reader's voice

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