Discrimination of a medial functional module within the temporal lobe using an effective connectivity model: A CCEP study

Krieg, Julien; Koessler, Laurent; Jonas, Jacques; Colnat-Coulbois, Sophie; Vignal, Jean–Pierre; Bénar, Christian; Maillard, Louis

doi:10.1016/j.neuroimage.2017.07.061

Cited by 14 publications

(14 citation statements)

References 86 publications

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“…We found that EC stimulation evoked giant local responses in the EC near the stimulus site and the hippocampus and that their earliest peak latencies preceded the peak latency of P1w by a few milliseconds (Figure ). In the recent human CCEP study using an effective connectivity model, Krieg et al () revealed that the hippocampus could act as a signal amplifier of afferent information flow from the EC. We hypothesize that the signal amplification property of the hippocampus could augment the effects of the EC electrical stimulation and serve the generation of the giant evoked potentials in the EC and hippocampus, resulting in the volume‐conducted currents to broad neocortical regions and the observation of P1w potentials.…”

Section: Discussionmentioning

confidence: 99%

“…We found that EC stimulation evoked giant local responses in the EC near the stimulus site and the hippocampus and that their earliest peak latencies preceded the peak latency of P1w by a few milliseconds ( Figure 6). In the recent human CCEP study using an effective connectivity model, Krieg et al (2017) revealed that the hippocampus could act as a signal amplifier of afferent information flow F I G U R E 4 Cortico-cortical evoked potential modulation during sleep. (a) P1w peak amplitude variations at different sleep stages in patients F, H, and I.…”

Section: Origin Of P1wmentioning

confidence: 99%

“…Previous anatomical and electrophysiological studies investigating the connectivity between the EC and neocortex showed that connections are mainly found within the temporal lobe and that connections outside the temporal lobe are almost limited to limbic structures such as the cingulate gyrus and orbitofrontal area (Catenoix et al, 2005;Catenoix, Magnin, Mauguiere, & Ryvlin, 2011;Enatsu et al, 2015;Koubeissi, Kahriman, Syed, Miller, & Durand, 2013;Kubota et al, 2013;Lacruz, Seoane, Valentin, Selway, & Alarcon, 2007;Munoz & Insausti, 2005). However, in the recent human CCEP study using an effective connectivity model, it was revealed that the hippocampus could act as a signal amplifier of afferent information flow from the EC (Krieg et al, 2017). Therefore, EC electrical stimulation can have significant effects on broad neocortical regions outside the temporal lobe via such signal amplification of the hippocampus.…”

Section: Introductionmentioning

confidence: 99%

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Human entorhinal cortex electrical stimulation evoked short‐latency potentials in the broad neocortical regions: Evidence from cortico‐cortical evoked potential recordings

et al. 2019

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Objective We aimed at clarifying the clinical significance of the responses evoked by human entorhinal cortex (EC) electrical stimulation by means of cortico‐cortical evoked potentials (CCEPs). Methods We enrolled nine patients with medically intractable medial temporal lobe epilepsy who underwent invasive presurgical evaluations with subdural or depth electrodes. Single‐pulse electrical stimulation was delivered to the EC and fusiform gyrus (FG), and their evoked potentials were compared. The correlation between the evoked potentials and Wechsler Memory Scale‐Revised (WMS‐R) score was analyzed to investigate whether memory circuit was involved in the generation of the evoked potentials. Results In most electrodes placed on the neocortex, EC stimulation induced unique evoked potentials with positive polarity, termed as “widespread P1” (P1w). Compared with FG stimulation, P1w induced by EC stimulation were distinguished by their high occurrence rate, short peak latency (mean: 20.1 ms), small peak amplitude, and waveform uniformity among different recording sites. A stimulation of more posterior parts of the EC induced P1w with shorter latency and larger amplitude. P1w peak amplitude had a positive correlation (r = .69) with the visual memory score of the WMS‐R. In one patient, with depth electrode implanted into the hippocampus, the giant evoked potentials were recorded in the electrodes of the anterior hippocampus and EC near the stimulus site. Conclusions The human EC electrical stimulation evoked the short‐latency potentials in the broad neocortical regions. The origin of P1w remains unclear, although the limited evidence suggests that P1w is the far‐field potential by the volume conduction of giant evoked potential from the EC itself and hippocampus. The significance of the present study is that those evoked potentials may be a potential biomarker of memory impairment in various neurological diseases, and we provided direct evidence for the functional subdivisions along the anterior–posterior axis in the human EC.

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Section: Discussionmentioning

confidence: 99%

“…We found that EC stimulation evoked giant local responses in the EC near the stimulus site and the hippocampus and that their earliest peak latencies preceded the peak latency of P1w by a few milliseconds ( Figure 6). In the recent human CCEP study using an effective connectivity model, Krieg et al (2017) revealed that the hippocampus could act as a signal amplifier of afferent information flow F I G U R E 4 Cortico-cortical evoked potential modulation during sleep. (a) P1w peak amplitude variations at different sleep stages in patients F, H, and I.…”

Section: Origin Of P1wmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Human entorhinal cortex electrical stimulation evoked short‐latency potentials in the broad neocortical regions: Evidence from cortico‐cortical evoked potential recordings

et al. 2019

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“…The responses to a DES, recorded with cortical grids (electrocorticography, ECoG) or intracerebral depth electrodes (stereo-electroencephalography, SEEG), and averaged over a set of pulses, are called the cortico-cortical evoked potentials (CCEP). This single-pulse methodology has been used in a clinical routine in some epilepsy patients to infer epileptogenic areas ( Kahane et al., 1993 ), to perform functional mapping of various networks, for instance language ( Conner et al., 2011 ; Enatsu et al., 2013a ; Koubeissi et al., 2012 ; Matsumoto et al., 2004 ) and motricity ( Enatsu et al., 2013b ; Kikuchi et al., 2012 ; Matsumoto et al., 2007 ), and to study intra- or inter-hemispheric connectivity within or between brain lobes ( Catenoix et al., 2005 ; David et al., 2013 ; Krieg et al., 2017 ; Lacruz et al., 2007 ).…”

Section: Introductionmentioning

confidence: 99%

“…A multicenter database in a large number of patients should help avoiding these two limitations when inferring the dynamical properties of a large number of possible cortico-cortical connections. So far, CCEP studies are limited regarding these two points as they involved only 1 or 2 centers and described small series of patients from 5 to 25 patients ( Boido et al., 2014 ; Conner et al., 2011 ; Donos et al., 2016a ; Entz et al., 2014 ; Keller et al., 2014a ; Krieg et al., 2017 ; Matsumoto et al., 2007 ). Following our initial study aiming at going beyond these limitations with a probabilistic approach developed with a small dataset of 35 patients ( David et al., 2013 ), we started a multicenter project (F-TRACT, f-tract.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic functional tractography of the human cortex revisited

et al. 2018

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In patients with pharmaco-resistant focal epilepsies investigated with intracranial electroencephalography (iEEG), direct electrical stimulations of a cortical region induce cortico-cortical evoked potentials (CCEP) in distant cerebral cortex, which properties can be used to infer large scale brain connectivity. In 2013, we proposed a new probabilistic functional tractography methodology to study human brain connectivity. We have now been revisiting this method in the F-TRACT project (f-tract.eu) by developing a large multicenter CCEP database of several thousand stimulation runs performed in several hundred patients, and associated processing tools to create a probabilistic atlas of human cortico-cortical connections. Here, we wish to present a snapshot of the methods and data of F-TRACT using a pool of 213 epilepsy patients, all studied by stereo-encephalography with intracerebral depth electrodes. The CCEPs were processed using an automated pipeline with the following consecutive steps: detection of each stimulation run from stimulation artifacts in raw intracranial EEG (iEEG) files, bad channels detection with a machine learning approach, model-based stimulation artifact correction, robust averaging over stimulation pulses. Effective connectivity between the stimulated and recording areas is then inferred from the properties of the first CCEP component, i.e. onset and peak latency, amplitude, duration and integral of the significant part. Finally, group statistics of CCEP features are implemented for each brain parcel explored by iEEG electrodes. The localization (coordinates, white/gray matter relative positioning) of electrode contacts were obtained from imaging data (anatomical MRI or CT scans before and after electrodes implantation). The iEEG contacts were repositioned in different brain parcellations from the segmentation of patients' anatomical MRI or from templates in the MNI coordinate system. The F-TRACT database using the first pool of 213 patients provided connectivity probability values for 95% of possible intrahemispheric and 56% of interhemispheric connections and CCEP features for 78% of intrahemisheric and 14% of interhemispheric connections. In this report, we show some examples of anatomo-functional connectivity matrices, and associated directional maps. We also indicate how CCEP features, especially latencies, are related to spatial distances, and allow estimating the velocity distribution of neuronal signals at a large scale. Finally, we describe the impact on the estimated connectivity of the stimulation charge and of the contact localization according to the white or gray matter. The most relevant maps for the scientific community are available for download on f-tract. eu (David et al., 2017) and will be regularly updated during the following months with the addition of more data in the F-TRACT database. This will provide an unprecedented knowledge on the dynamical properties of large fiber tracts in human.

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Simultaneous Recordings of MEG and Intracerebral EEG

Bénar¹,

Badier²

2019

Magnetoencephalography

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Discrimination of a medial functional module within the temporal lobe using an effective connectivity model: A CCEP study

Cited by 14 publications

References 86 publications

Human entorhinal cortex electrical stimulation evoked short‐latency potentials in the broad neocortical regions: Evidence from cortico‐cortical evoked potential recordings

Human entorhinal cortex electrical stimulation evoked short‐latency potentials in the broad neocortical regions: Evidence from cortico‐cortical evoked potential recordings

Probabilistic functional tractography of the human cortex revisited

Simultaneous Recordings of MEG and Intracerebral EEG

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