Format

Send to

Choose Destination
Brain Lang. 2017 Dec;175:29-41. doi: 10.1016/j.bandl.2017.08.009. Epub 2017 Sep 18.

Dissociable intrinsic functional networks support noun-object and verb-action processing.

Author information

1
National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
2
Rehabilitation College of Capital Medical University, Department of Neurology, China Rehabilitation Research Center, Beijing 100068, China.
3
National Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China. Electronic address: ybi@bnu.edu.cn.

Abstract

The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules. Experiment 2 examined the behavioral relevance of these intrinsic networks using data from 88 brain-damaged patients, finding that across patients the relative strength of functional connectivity of the two networks significantly correlated with the noun-object vs. verb-action relative behavioral performances. In summary, we found that verbs-actions and nouns-objects are supported by separable intrinsic functional networks and that the integrity of such networks accounts for the relative noun-object- and verb-action-selective deficits.

KEYWORDS:

Actions; Functional connectivity; Module; Network; Nouns; Objects; Verbs

PMID:
28926795
DOI:
10.1016/j.bandl.2017.08.009
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center