Tackling the challenges of group network inference from intracranial EEG data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F22%3A00564952" target="_blank" >RIV/67985807:_____/22:00564952 - isvavai.cz</a>

Alternative codes found

RIV/67985823:_____/22:00564952 RIV/00216208:11130/22:10451753 RIV/00064203:_____/22:10451753

Result on the web

<a href="https://dx.doi.org/10.3389/fnins.2022.1061867" target="_blank" >https://dx.doi.org/10.3389/fnins.2022.1061867</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fnins.2022.1061867" target="_blank" >10.3389/fnins.2022.1061867</a>

Result language

angličtina

Original language name

Tackling the challenges of group network inference from intracranial EEG data

Original language description

INTRODUCTION: Intracranial EEG (iEEG) data is a powerful way to map brain function, characterized by high temporal and spatial resolution, allowing the study of interactions among neuronal populations that orchestrate cognitive processing. However, the statistical inference and analysis of brain networks using iEEG data faces many challenges related to its sparse brain coverage, and its inhomogeneity across patients. METHODS: We review these challenges and develop a methodological pipeline for estimation of network structure not obtainable from any single patient, illustrated on the inference of the interaction among visual streams using a dataset of 27 human iEEG recordings from a visual experiment employing visual scene stimuli. 100 ms sliding window and multiple band-pass filtered signals are used to provide temporal and spectral resolution. For the connectivity analysis we showcase two connectivity measures reflecting different types of interaction between regions of interest (ROI): Phase Locking Value as a symmetric measure of synchrony, and Directed Transfer Function—asymmetric measure describing causal interaction. For each two channels, initial uncorrected significance testing at p < 0.05 for every time-frequency point is carried out by comparison of the data-derived connectivity to a baseline surrogate-based null distribution, providing a binary time-frequency connectivity map. For each ROI pair, a connectivity density map is obtained by averaging across all pairs of channels spanning them, effectively agglomerating data across relevant channels and subjects. Finally, the difference of the mean map value after and before the stimulation is compared to the same statistic in surrogate data to assess link significance. RESULTS: The analysis confirmed the function of the parieto-medial temporal pathway, mediating visuospatial information between dorsal and ventral visual streams during visual scene analysis. Moreover, we observed the anterior hippocampal connectivity with more posterior areas in the medial temporal lobe, and found the reciprocal information flow between early processing areas and medial place area. DISCUSSION: To summarize, we developed an approach for estimating network connectivity, dealing with the challenge of sparse individual coverage of intracranial EEG electrodes. Its application provided new insights into the interaction between the dorsal and ventral visual streams, one of the iconic dualities in human cognition.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

<a href="/en/project/GA19-11753S" target="_blank" >GA19-11753S: Timing of the spatial scene processing in the dorsal and ventral visual stream of the human brain</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Frontiers in Neuroscience

ISSN

1662-453X

e-ISSN

1662-453X

Volume of the periodical

16

Issue of the periodical within the volume

01 December 2022

Country of publishing house

CH - SWITZERLAND

Number of pages

19

Pages from-to

1061867

UT code for WoS article

000897218600001

EID of the result in the Scopus database

2-s2.0-85144045634