iELVis: An open source MATLAB toolbox for localizing and visualizing human intracranial electrode data

Groppe, David M.; Bickel, Stephan; Dykstra, Andrew R.; Wang, Xiuyuan; Mégevand, Pierre; Mercier, Manuel; Lado, Fred A.; Mehta, Ashesh D.; Honey, Christopher J.

doi:10.1016/j.jneumeth.2017.01.022

Cited by 204 publications

(194 citation statements)

References 39 publications

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“…The slices were resampled to 1mm isotropic voxels, and then reconstructed into 3-dimensional brains. Each patient’s electrodes were localized onto his or her own 3D brain using the iElvis method (Groppe et al, 2017): the reconstructed brain and post-implant computed tomography (CT) scans were co-registered (Jenkinson and Smith, 2001; Jenkinson et al, 2002) onto which electrodes were localized using BioImageSuite (Papademetris et al, 2006) and corrected for brain shift (Dykstra et al, 2012). …”

Section: Methodsmentioning

confidence: 99%

“…HFB is understood to reflect non-oscillatory broadband signals as an electrophysiological correlate of the average of the spiking neuronal activities (Parvizi and Kastner, 2018). Using the temporal precision afforded by iEEG as well as the precise localization of the electrodes in each subject’s native anatomical space (Groppe et al, 2017), the moderating effect of time, anatomical region, and the type of visual representation of numbers on the resulting power of the HFB signal were explored.…”

Section: Introductionmentioning

confidence: 99%

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Neuronal Population Responses in the Human Ventral Temporal and Lateral Parietal Cortex during Arithmetic Processing with Digits and Number Words

Baek

Daitch

Pinheiro‐Chagas

et al. 2018

Journal of Cognitive Neuroscience

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Past research has identified anatomically specific regions in the posterior inferior temporal gyrus (PITG) and the intraparietal sulcus (IPS) that are engaged during arithmetic processing. In the current study, we explore whether the responses in these regions depends on the number format (i.e., numerical digits vs. number words). We collected intracranial EEG (iEEG) data from the areas surrounding the PITG in eight subjects who performed two experimental tasks containing arithmetic equations with either digits or number words. Our findings confirmed an increase in the high frequency broadband (HFB) activity in both PITG and IPS regions for equations presented in either digits or in number words compared to their respective baselines. In the PITG the HFB activations were similar for digits and number words in the time of activation but differed in magnitude. In the IPS the activity was significantly delayed for number words in comparison to digits regardless of the hemisphere. The results support the extant evidence for the engagement of the PITG during arithmetic processing regardless of input format while also revealing differences in the magnitude of power in response to the formats. The results also reveal that the IPS region becomes engaged regardless of input format but with different temporal signatures. The results add to our understanding of the temporal profile of engagement between discrete populations of neurons within the human brain during arithmetic processing with numerals versus number-words.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neuronal Population Responses in the Human Ventral Temporal and Lateral Parietal Cortex during Arithmetic Processing with Digits and Number Words

Baek

Daitch

Pinheiro‐Chagas

et al. 2018

Journal of Cognitive Neuroscience

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“…All data were montaged again to common average reference (Crone et al 2001). Channel positions were mapped to brain anatomy using registration of the postimplantation computed tomography (CT) to the preimplantation MRI via the postoperative MRI (Groppe et al 2017). The CT was first coregistered with the postimplantation structural MRI and, subsequently, with the preimplantation MRI.…”

Section: Ecog Data Acquisition and Preprocessingmentioning

confidence: 99%

Cortical encoding of melodic expectations in human temporal cortex

Liberto¹,

Pelofi²,

Bianco³

et al. 2019

Preprint

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SummaryHumans engagement in music rests on underlying elements such as the listeners’ cultural background and general interest in music, all shaping the way music is processed in the brain and perceived. Crucially, these factors modulate how listeners anticipate musical events, a process inducing instantaneous neural responses as the music confronts these expectations. Measuring such neural correlates would represent a direct window into high-level brain processing of music. Here we recorded electroencephalographic and electrocorticographic brain responses as participants listened to Bach melodies. We assessed the relative contributions of the acoustic versus melodic components of the music to the neural signal. Acoustic features included envelope and its derivative. Melodic features included information on melodic progressions (pitch) and their tempo (onsets), which were extracted from a Markov model predicting the next note based on a corpus of Western music and the preceding proximal musical context. We related the music to brain activity with a linear temporal response function, and demonstrated that cortical responses to music encode melodic expectations. Specifically, individual-subject neural signals were better predicted by a combination of acoustic and melodic expectation features than by either alone. This effect was most pronounced at response latencies up to 350ms, and in both planum temporale and Heschl’s gyrus. Finally, expectations of pitch and onset-time of musical notes exerted independent cortical effects, and such influences were modulated by the listeners’ musical expertise. Overall, this study demonstrates how the interplay of experimental and theoretical approaches can yield novel insights into the cortical encoding of melodic expectations.

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“…The electrodes were mapped onto the brain of each subject using co-registration by iELVis (Groppe et al, 2017) followed by their identification on the post-implantation CT scan using Biolmage Suite(Papademetris et al, 2006). Anatomical locations of these electrodes were obtained using Freesurfer’s automated cortical parcellation (Dykstra et al, 2012; Fischl et al, 2004) by Destrieux brain atlas (Destrieux et al, 2010).…”

Section: Quantification and Statistical Analysismentioning

confidence: 99%

Joint Representation of Spatial and Phonetic Features in the Human Core Auditory Cortex

et al. 2018

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The human auditory cortex simultaneously processes speech and determines the location of a speaker in space. Neuroimaging studies in humans have implicated core auditory areas in processing the spectrotemporal and the spatial content of sound; however, how these features are represented together is unclear. We recorded directly from human subjects implanted bilaterally with depth electrodes in core auditory areas as they listened to speech from different directions. We found local and joint selectivity to spatial and spectrotemporal speech features, where the spatial and spectrotemporal features are organized independently of each other. This representation enables successful decoding of both spatial and phonetic information. Furthermore, we found that the location of the speaker does not change the spectrotemporal tuning of the electrodes but, rather, modulates their mean response level. Our findings contribute to defining the functional organization of responses in the human auditory cortex, with implications for more accurate neurophysiological models of speech processing.

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iELVis: An open source MATLAB toolbox for localizing and visualizing human intracranial electrode data

Abstract: iELVis promises to speed the progress and enhance the robustness of intracranial electrode research. The software and extensive tutorial materials are freely available as part of the EpiSurg software project: https://github.com/episurg/episurg.

Cited by 204 publications

References 39 publications

Neuronal Population Responses in the Human Ventral Temporal and Lateral Parietal Cortex during Arithmetic Processing with Digits and Number Words

Neuronal Population Responses in the Human Ventral Temporal and Lateral Parietal Cortex during Arithmetic Processing with Digits and Number Words

Cortical encoding of melodic expectations in human temporal cortex

Joint Representation of Spatial and Phonetic Features in the Human Core Auditory Cortex

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