Probabilistic functional tractography of the human cortex
revisited

J 2018

Probabilistic functional tractography of the human cortex revisited

TREBAUL, Lena, Pierre DEMAN, Viateur TUYISENGE, Maciej JEDYNAK, Etienne HUGUES et. al.

Basic information

Original name

Probabilistic functional tractography of the human cortex revisited

Authors

TREBAUL, Lena (250 France), Pierre DEMAN (250 France), Viateur TUYISENGE (250 France), Maciej JEDYNAK (250 France), Etienne HUGUES (250 France), David RUDRAUF (250 France), Manik BHATTACHARJEE (250 France), Francois TADEL (250 France), Blandine CHANTELOUP-FORET (250 France), Caroline SAUBAT (250 France), Gina Catalina Reyes MEJIA (250 France), Claude ADAM (250 France), Anca NICA (250 France), Martin PAIL (203 Czech Republic, belonging to the institution), Francois DUBEAU (124 Canada), Sylvain RHEIMS (250 France), Agnes TREBUCHON (250 France), Haixiang WANG (156 China), Sinclair LIU (156 China), Thomas BLAUWBLOMME (250 France), Mercedes GARCES (724 Spain), Luca DE PALMA (380 Italy), Antonio VALENTIN (826 United Kingdom of Great Britain and Northern Ireland), Eeva-Liisa METSAHONKALA (246 Finland), Ana Maria PETRESCU (250 France), Elizabeth LANDRE (250 France), William SZURHAJ (250 France), Edouard HIRSCH (250 France), Luc VALTON (250 France), Rodrigo ROCAMORA (724 Spain), Andreas SCHULZE-BONHAGE (276 Germany), Ioana MINDRUTA (642 Romania), Stefano FRANCIONE (380 Italy), Louis MAILLARD (250 France), Delphine TAUSSIG (250 France), Philippe KAHANE (250 France) and Olivier DAVID (250 France, guarantor)

Edition

Neuroimage, San Diego, ACADEMIC PRESS INC ELSEVIER SCIENCE, 2018, 1053-8119

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30103 Neurosciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 5.812

RIV identification code

RIV/00216224:14110/18:00104225

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1016/j.neuroimage.2018.07.039

UT WoS

000445165600036

Keywords in English

Brain atlas; Epilepsy; Intracranial electroencephalogram; Cortico-cortical evoked potentials; Connectivity mapping

Abstract

V originále

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.

Citovat

TREBAUL, Lena, Pierre DEMAN, Viateur TUYISENGE, Maciej JEDYNAK, Etienne HUGUES, David RUDRAUF, Manik BHATTACHARJEE, Francois TADEL, Blandine CHANTELOUP-FORET, Caroline SAUBAT, Gina Catalina Reyes MEJIA, Claude ADAM, Anca NICA, Martin PAIL, Francois DUBEAU, Sylvain RHEIMS, Agnes TREBUCHON, Haixiang WANG, Sinclair LIU, Thomas BLAUWBLOMME, Mercedes GARCES, Luca DE PALMA, Antonio VALENTIN, Eeva-Liisa METSAHONKALA, Ana Maria PETRESCU, Elizabeth LANDRE, William SZURHAJ, Edouard HIRSCH, Luc VALTON, Rodrigo ROCAMORA, Andreas SCHULZE-BONHAGE, Ioana MINDRUTA, Stefano FRANCIONE, Louis MAILLARD, Delphine TAUSSIG, Philippe KAHANE and Olivier DAVID. Probabilistic functional tractography of the human cortex revisited. Neuroimage. San Diego: ACADEMIC PRESS INC ELSEVIER SCIENCE, 2018, vol. 181, NOV 1 2018, p. 414-429. ISSN 1053-8119. Available from: https://dx.doi.org/10.1016/j.neuroimage.2018.07.039.

@article{1456217,
   author = {Trebaul, Lena and Deman, Pierre and Tuyisenge, Viateur and Jedynak, Maciej and Hugues, Etienne and Rudrauf, David and Bhattacharjee, Manik and Tadel, Francois and ChanteloupandForet, Blandine and Saubat, Caroline and Mejia, Gina Catalina Reyes and Adam, Claude and Nica, Anca and Pail, Martin and Dubeau, Francois and Rheims, Sylvain and Trebuchon, Agnes and Wang, Haixiang and Liu, Sinclair and Blauwblomme, Thomas and Garces, Mercedes and De Palma, Luca and Valentin, Antonio and Metsahonkala, EevaandLiisa and Petrescu, Ana Maria and Landre, Elizabeth and Szurhaj, William and Hirsch, Edouard and Valton, Luc and Rocamora, Rodrigo and SchulzeandBonhage, Andreas and Mindruta, Ioana and Francione, Stefano and Maillard, Louis and Taussig, Delphine and Kahane, Philippe and David, Olivier},
   article_location = {San Diego},
   article_number = {NOV 1 2018},
   doi = {http://dx.doi.org/10.1016/j.neuroimage.2018.07.039},
   keywords = {Brain atlas; Epilepsy; Intracranial electroencephalogram; Cortico-cortical evoked potentials; Connectivity mapping},
   language = {eng},
   issn = {1053-8119},
   journal = {Neuroimage},
   title = {Probabilistic functional tractography of the human cortex revisited},
   volume = {181},
   year = {2018}
}

TY  - JOUR
ID  - 1456217
AU  - Trebaul, Lena - Deman, Pierre - Tuyisenge, Viateur - Jedynak, Maciej - Hugues, Etienne - Rudrauf, David - Bhattacharjee, Manik - Tadel, Francois - Chanteloup-Foret, Blandine - Saubat, Caroline - Mejia, Gina Catalina Reyes - Adam, Claude - Nica, Anca - Pail, Martin - Dubeau, Francois - Rheims, Sylvain - Trebuchon, Agnes - Wang, Haixiang - Liu, Sinclair - Blauwblomme, Thomas - Garces, Mercedes - De Palma, Luca - Valentin, Antonio - Metsahonkala, Eeva-Liisa - Petrescu, Ana Maria - Landre, Elizabeth - Szurhaj, William - Hirsch, Edouard - Valton, Luc - Rocamora, Rodrigo - Schulze-Bonhage, Andreas - Mindruta, Ioana - Francione, Stefano - Maillard, Louis - Taussig, Delphine - Kahane, Philippe - David, Olivier
PY  - 2018
TI  - Probabilistic functional tractography of the human cortex revisited
JF  - Neuroimage
VL  - 181
IS  - NOV 1 2018
SP  - 414-429
EP  - 414-429
PB  - ACADEMIC PRESS INC ELSEVIER SCIENCE
SN  - 10538119
KW  - Brain atlas
KW  - Epilepsy
KW  - Intracranial electroencephalogram
KW  - Cortico-cortical evoked potentials
KW  - Connectivity mapping
N2  - 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.
ER  -

TREBAUL, Lena, Pierre DEMAN, Viateur TUYISENGE, Maciej JEDYNAK, Etienne HUGUES, David RUDRAUF, Manik BHATTACHARJEE, Francois TADEL, Blandine CHANTELOUP-FORET, Caroline SAUBAT, Gina Catalina Reyes MEJIA, Claude ADAM, Anca NICA, Martin PAIL, Francois DUBEAU, Sylvain RHEIMS, Agnes TREBUCHON, Haixiang WANG, Sinclair LIU, Thomas BLAUWBLOMME, Mercedes GARCES, Luca DE PALMA, Antonio VALENTIN, Eeva-Liisa METSAHONKALA, Ana Maria PETRESCU, Elizabeth LANDRE, William SZURHAJ, Edouard HIRSCH, Luc VALTON, Rodrigo ROCAMORA, Andreas SCHULZE-BONHAGE, Ioana MINDRUTA, Stefano FRANCIONE, Louis MAILLARD, Delphine TAUSSIG, Philippe KAHANE and Olivier DAVID. Probabilistic functional tractography of the human cortex revisited. \textit{Neuroimage}. San Diego: ACADEMIC PRESS INC ELSEVIER SCIENCE, 2018, vol.~181, NOV 1 2018, p.~414-429. ISSN~1053-8119. Available from: https://dx.doi.org/10.1016/j.neuroimage.2018.07.039.

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