Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics

Hauk, Olaf; Wakeman, Daniel G.; Henson, Richard N.

doi:10.1016/j.neuroimage.2010.09.053

Cited by 182 publications

(238 citation statements)

References 30 publications

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“…These discrepancies with respect to the present results most likely reflect the very different spatial specificities ECoG vs. MEG. Whereas ECoG LFPs reflect localized current sources on a millimeter scale, inverse source localization in MEG is uncertain by several centimeters (Hauk et al, 2011). Moreover, MEG is insensitive to radial current (Mosher et al, 1992), which is the likely principal source of ECoG potentials (Buzsaki et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Frequency-specific electrophysiologic correlates of resting state fMRI networks

Hacker¹,

Snyder²,

Pahwa³

et al. 2017

NeuroImage

145

107

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Resting state functional MRI (R-fMRI) studies have shown that slow (< 0.1 Hz), intrinsic fluctuations of the blood oxygen level dependent (BOLD) signal are temporally correlated within hierarchically organized functional systems known as resting state networks (RSNs) (Doucet et al., 2011). Most broadly, this hierarchy exhibits a dichotomy between two opposed systems (Fox et al., 2005). One system engages with the environment and includes the visual, auditory, and sensorimotor (SMN) networks as well as the dorsal attention network (DAN), which controls spatial attention. The other system includes the default mode network (DMN) and the fronto-parietal control system (FPC), RSNs that instantiate episodic memory and executive control, respectively. Here, we test the hypothesis, based on the spectral specificity of electrophysiologic responses to perceptual vs. memory tasks (Klimesch, 1999; Pfurtscheller and Lopes da Silva, 1999), that these two large-scale neural systems also manifest frequency specificity in the resting state. We measured the spatial correspondence between electrocorticographic (ECoG) band-limited power (BLP) and R-fMRI correlation patterns in awake, resting, human subjects. Our results show that, while gamma BLP correspondence was common throughout the brain, theta (4–8 Hz) BLP correspondence was stronger in the DMN and FPC, whereas alpha (8–12 Hz) correspondence was stronger in the SMN and DAN. Thus, the human brain, at rest, exhibits frequency specific electrophysiology, respecting both the spectral structure of task responses and the hierarchical organization of RSNs.

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Section: Discussionmentioning

confidence: 99%

Frequency-specific electrophysiologic correlates of resting state fMRI networks

Hacker¹,

Snyder²,

Pahwa³

et al. 2017

NeuroImage

145

107

View full text Add to dashboard Cite

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“…EEG/MEG source estimates not only have limited spatial resolution compared with fMRI localizations but may also be systematically biased (e.g., to locations closer to the sensors for classical minimum norm estimation; Hauk, Wakeman, & Henson, 2011;Lin et al, 2006;Fuchs et al, 1999). A direct translation of fMRI coordinates to our source space is therefore not recommended.…”

Section: Roi Analysismentioning

confidence: 99%

“…We would like to point out that effects in these ROIs do not necessarily reflect activity in exactly that location but could also reflect processes in their vicinity, and in particular more medial or deeper areas. However, this ambiguity is inherent to EEG and MEG data (Hauk et al, 2011;Fuchs et al, 1999).…”

Section: Roi Analysismentioning

confidence: 99%

Early Visual Word Processing Is Flexible: Evidence from Spatiotemporal Brain Dynamics

Chen

Davis

Pulvermüller

et al. 2015

Journal of Cognitive Neuroscience

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Visual word recognition is often described as automatic, but the functional locus of top-down effects is still a matter of debate. Do task demands modulate how information is retrieved, or only how it is used? We used EEG/MEG recordings to assess whether, when, and how task contexts modify early retrieval of specific psycholinguistic information in occipitotemporal cortex, an area likely to contribute to early stages of visual word processing. Using a parametric approach, we analyzed the spatiotemporal response patterns of occipitotemporal cortex for orthographic, lexical, and semantic variables in three psycholinguistic tasks: silent reading, lexical decision, and semantic decision. Task modulation of word frequency and imageability effects occurred simultaneously in ventral occipitotemporal regions-in the vicinity of the putative visual word form area-around 160 msec, following task effects on orthographic typicality around 100 msec. Frequency and typicality also produced task-independent effects in anterior temporal lobe regions after 200 msec. The early task modulation for several specific psycholinguistic variables indicates that occipitotemporal areas integrate perceptual input with prior knowledge in a task-dependent manner. Still, later task-independent effects in anterior temporal lobes suggest that word recognition eventually leads to retrieval of semantic information irrespective of task demands. We conclude that even a highly overlearned visual task like word recognition should be described as flexible rather than automatic.

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“…In fact, we first 445 apply wMNE to single ICs, and then we linearly recombine the source spaces, which has been 446 proven to be a more effective strategy then the reverse order (linear recombination followed by 447 wMNE) (Mantini et al, 2011). A possible reason might be that source estimates of single or double 448 sources could be more reliable than multiple simultaneously active sources (Darvas et showed that for neighbouring voxels distant at least 3.2 cm the relative dependence is highlyliterature (Hauk et al, 2011). Now, in this study we discuss regions, involved in OBS and EXE, 456 which are closer than this distance.…”

Section: Paradigm 421mentioning

confidence: 99%

Being an agent or an observer: Different spectral dynamics revealed by MEG

et al. 2014

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14Several neuroimaging studies reported that a common set of regions are recruited during 15 action observation and execution and it has been proposed that the modulation of the µ rhythm, 16 in terms of oscillations in the alpha and beta bands might represent the electrophysiological 17 correlate of the underlying brain mechanisms. However, the specific functional role of these bands 18 within the µ rhythm is still unclear. Here, we used magnetoencephalography (MEG) to analyze the 19 spectral and temporal properties of the alpha and beta bands in healthy subjects during an action 20 observation and execution task. 21We associated the modulation of the alpha and beta power to a broad action observation 22 network comprising several parieto--frontal areas previously detected in fMRI studies. Of note, we 23 observed a dissociation between alpha and beta bands with a slow--down of beta oscillations 24 ACCEPTED FOR PUBLICATION -NEUROIMAGE2 compared to alpha during action observation. We hypothesize that this segregation is linked to a 25 different sequence of information processing and we interpret these modulations in terms of 26 internal models (forward and inverse). In fact, these processes showed opposite temporal 27 sequences of occurrence: anterior--posterior during action (both in alpha and beta bands) and 28 roughly posterior--anterior during observation (in the alpha band). The observed differentiation 29 between alpha and beta suggests that these two bands might pursue different functions in the 30 action observation and execution processes. 32Keywords: action observation and execution, alpha and beta rhythms, Event--Related 33Desynchronization (ERD), magnetoencephalography (MEG), internal models 34 35 36 INTRODUCTION 37Several studies report that our sensorimotor system is activated when we observe an 38 action performed by other people. This putative mirror--like activity in humans was found in the 39 precentral gyrus (vPM), the inferior frontal gyrus (IFG), the inferior parietal lobule (IPL), and 40 regions within the intraparietal sulcus (for a review see Rizzolatti and Sinigaglia, 2010). In addition 41 to this limited number of regions, neuroimaging studies observed a broader action observation 42 network (AON) which seems to be involved during action observation (OBS) and execution (EXE) 43 (Avenanti et al., 2012;Buccino et al., 2004;Gazzola and Keysers, 2009). A proposed theoretical 44 framework postulates that such AON implements forward and inverse internal models (Wolpert 45 and Ghahramani, 2000), which should be engaged during EXE and OBS. The internal models can 46 account both for how we link our actions to sensory consequences and how others' actions match 47 our own actions and sensations (Gazzola and Keysers, 2009;Iacoboni, 2005). It has been proposed 48 that the fronto--parietal AON has a predictive nature and according to this hypothesis, during 49 action observation the inverse and forward models are integrated to achieve a prediction of 50 ACCEPTED FOR PUBLICATION -NEUROIMA...

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Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics

Cited by 182 publications

References 30 publications

Frequency-specific electrophysiologic correlates of resting state fMRI networks

Frequency-specific electrophysiologic correlates of resting state fMRI networks

Early Visual Word Processing Is Flexible: Evidence from Spatiotemporal Brain Dynamics

Being an agent or an observer: Different spectral dynamics revealed by MEG

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