Comparison of Minimum Current Estimate and Dipole Modeling in the Analysis of Simulated Activity in the Human Visual Cortices

Stenbacka, Linda; Vanni, Simo; Uutela, K.; Hari, Riitta

doi:10.1006/nimg.2002.1151

Cited by 36 publications

(34 citation statements)

References 26 publications

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“…However, after free fitting, only 0 -2 dipoles were left close to the retinotopic areas, indicating that the inverse model could not find the true positions of the activations. This result is in accordance with an earlier MEG simulation study (Stenbacka et al, 2002), showing that the true positions of retinotopic areas cannot be fully resolved by inverse modeling.…”

Section: Source Model Of the Interactionsupporting

confidence: 92%

Timing of interactions across the visual field in the human cortex

et al. 2004

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Section: Source Model Of the Interactionsupporting

confidence: 92%

Timing of interactions across the visual field in the human cortex

et al. 2004

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“…Both the matching and mismatching stimuli elicited a distinct bilateral N1m response that peaked around 135 ms. Based on the MCE analysis [28,30], anticipation of the incoming verbal stimulus did not seem to affect these early processing stages before 200 ms. The N1m source strengths, locations, and latencies at the peak of the source strength did not differ statistically significantly between the matching and mismatching stimuli.…”

Section: Discussionmentioning

confidence: 84%

“…Unlike equivalent current dipole (ECD) modeling, MCE requires no a priori information of the possible source configuration or restriction of the MEG channels included in the modeling [30]. MCE provides a similar result as dipole modeling; however source strengths tend to be smaller and the sources more superficial in MCE than in dipole modeling [28].…”

Section: Methodsmentioning

confidence: 81%

Activation in the anterior left auditory cortex associated with phonological analysis of speech input: localization of the phonological mismatch negativity response with MEG

Kujala

Alho

Ilmoniemi

et al. 2004

Cognitive Brain Research

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The spatio-temporal dynamics of cortical activation underlying auditory word recognition, particularly its phonological stage, was studied with whole-head magnetoencephalography (MEG). Subjects performed a visuo-auditory priming task known to evoke the phonological mismatch negativity (PMN) response that is elicited by violations of phonological expectancies. Words and non-words were presented in separate conditions. In each of the 318 trials, the subjects first saw a word/non-word (e.g., 'cat') that was soon followed by a prime letter (e.g., 'h'). Their task was to replace mentally the sound of the first letter of the word/non-word with the prime letter, thus resulting in a new word/non-word (e.g., 'hat'). Finally, an auditory word/nonword either matching or mismatching with the anticipated item was presented. In most subjects, a PMNm followed by a later, N400m-like negativity was obtained in the left hemisphere to the mismatching auditory stimuli. A similar response pattern was obtained in the right hemisphere only in a few subjects. Source localization of the N1m, an index of acoustic analysis, and the PMNm and N400m-like responses was performed using L1 minimum-norm estimation. In the left hemisphere, the PMNm source for the words was significantly more anterior than the source of the N400m-like response; for the non-words, the PMNm source was significantly more anterior than the sources of the N1m and the N400m-like response. These results suggest that the lefthemisphere neuronal networks involved in sub-lexical phonological analysis are at least partly different from those responsible for the earlier (acoustic) and later (whole item) processing of speech input.

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“…Unlike ECD source estimation, which is based on the point-source assumption [15], MCE can represent several local or distributed sources thereby providing a description of the distribution of cortical activation. ECD and MCE techniques are formally compared in [42]. For MCE analysis, the data were preprocessed by low-pass filtering at 30 Hz and detrended over a 0-to 300-ms post-stimulus interval.…”

Section: Meg Recordingsmentioning

confidence: 99%

Spatial processing in human auditory cortex: The effects of 3D, ITD, and ILD stimulation techniques

Palomäki

Tiitinen

Mäkinen

et al. 2005

Cognitive Brain Research

100

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Here, the perception of auditory spatial information as indexed by behavioral measures is linked to brain dynamics as reflected by the N1m response recorded with whole-head magnetoencephalography (MEG). Broadband noise stimuli with realistic spatial cues corresponding to eight direction angles in the horizontal plane were constructed via custom-made, individualized binaural recordings (BAR) and generic head-related transfer functions (HRTF). For comparison purposes, stimuli with impoverished acoustical cues were created via interaural time and level differences (ITDs and ILDs) and their combinations. MEG recordings in ten subjects revealed that the amplitude and the latency of the N1m exhibits directional tuning to sound location, with the amplitude of the right-hemispheric N1m being particularly sensitive to the amount of spatial cues in the stimuli. The BAR, HRTF, and combined ITD + ILD stimuli resulted both in a larger dynamic range and in a more systematic distribution of the N1m amplitude across stimulus angle than did the ITD or ILD stimuli alone. Further, the righthemispheric source loci of the N1m responses for the BAR and HRTF stimuli were anterior to those for the ITD and ILD stimuli. In behavioral tests, we measured the ability of the subjects to localize BAR and HRTF stimuli in terms of azimuthal error and front-back confusions. We found that behavioral performance correlated positively with the amplitude of the N1m. Thus, the activity taking place already in the auditory cortex predicts behavioral sound detection of spatial stimuli, and the amount of spatial cues embedded in the signal are reflected in the activity of this brain area. D

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Comparison of Minimum Current Estimate and Dipole Modeling in the Analysis of Simulated Activity in the Human Visual Cortices

Cited by 36 publications

References 26 publications

Timing of interactions across the visual field in the human cortex

Timing of interactions across the visual field in the human cortex

Activation in the anterior left auditory cortex associated with phonological analysis of speech input: localization of the phonological mismatch negativity response with MEG

Spatial processing in human auditory cortex: The effects of 3D, ITD, and ILD stimulation techniques

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