English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Oscillatory dynamics of cortical functional connections in semantic prediction

Mamashli, F., Khan, S., Obleser, J., Friederici, A. D., & Maess, B. (2019). Oscillatory dynamics of cortical functional connections in semantic prediction. Human Brain Mapping, 40(6), 1856-1866. doi:10.1002/hbm.24495.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0002-B406-C Version Permalink: http://hdl.handle.net/21.11116/0000-0003-9B4B-B
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Mamashli, Fahimeh 1, Author
Khan, Sheraz 1, Author
Obleser, Jonas2, Author              
Friederici, Angela D.3, Author              
Maess, Burkhard4, Author              
Affiliations:
1Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA, ou_persistent22              
2Department of Psychology, University of Lübeck, Germany, ou_persistent22              
3Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
4Methods and Development Unit - MEG and Cortical Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650              

Content

show
hide
Free keywords: Functional connectivity; Language; MEG; N400; Oscillation; Prediction; Semantics
 Abstract: An event related potential, known as the N400, has been particularly useful in investigating language processing as it serves as a neural index for semantic prediction. There are numerous studies on the functional segregation of N400 neural sources; however, the oscillatory dynamics of functional connections among the relevant sources has remained elusive. In this study we acquired magnetoencephalography data during a classic N400 paradigm, where the semantic predictability of a fixed target noun was manipulated in simple German sentences. We conducted inter‐regional functional connectivity (FC) and time–frequency analysis on known regions of the semantic network, encompassing bilateral temporal, and prefrontal cortices. Increased FC was found in less predicted (LP) nouns compared with highly predicted (HP) nouns in three connections: (a) right inferior frontal gyrus (IFG) and right middle temporal gyrus (MTG) from 0 to 300 ms mainly within the alpha band, (b) left lateral orbitofrontal (LOF) and right IFG around 400 ms within the beta band, and (c) left superior temporal gyrus (STG) and left LOF from 300 to 700 ms in the beta and low gamma bands. Furthermore, gamma spectral power (31–70 Hz) was stronger in HP nouns than in LP nouns in left anterior temporal cortices in earlier time windows (0–200 ms). Our findings support recent theories in language comprehension, suggesting fronto‐temporal top–down connections are mainly mediated through beta oscillations while gamma band frequencies are involved in matching between prediction and input.

Details

show
hide
Language(s): eng - English
 Dates: 2018-11-202018-06-062018-11-282018-11-072019-04-19
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/hbm.24495
PMID: 30537025
Other: Epub ahead of print
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : -
Grant ID : -
Funding program : -
Funding organization : Max Planck Society
Project name : -
Grant ID : -
Funding program : -
Funding organization : International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom)
Project name : -
Grant ID : -
Funding program : -
Funding organization : Nancy Lurie Marks Family Foundation
Project name : -
Grant ID : -
Funding program : -
Funding organization : Elekta Oy, Finland

Source 1

show
hide
Title: Human Brain Mapping
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 40 (6) Sequence Number: - Start / End Page: 1856 - 1866 Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686