Disorganization of Semantic Brain Networks in Schizophrenia Revealed by fMRI.
Disorganization of Semantic Brain Networks in Schizophrenia Revealed by fMRI.
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DOI:
10.1093/schbul/sbac157
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发表时间:
2023-03-15
影响因子:
6.6
通讯作者:
Takahashi, Hidehiko
中科院分区:
文献类型:
--
作者:
Matsumoto, Yukiko;Nishida, Satoshi;Hayashi, Ryusuke;Son, Shuraku;Murakami, Akio;Yoshikawa, Naganobu;Ito, Hiroyoshi;Oishi, Naoya;Masuda, Naoki;Murai, Toshiya;Friston, Karl;Nishimoto, Shinji;Takahashi, Hidehiko
Schizophrenia is a mental illness that presents with thought disorders including delusions and disorganized speech. Thought disorders have been regarded as a consequence of the loosening of associations between semantic concepts since the term “schizophrenia” was first coined by Bleuler. However, a mechanistic account of this cardinal disturbance in terms of functional dysconnection has been lacking. To evaluate how aberrant semantic connections are expressed through brain activity, we characterized large-scale network structures of concept representations using functional magnetic resonance imaging (fMRI). We quantified various concept representations in patients’ brains from fMRI activity evoked by movie scenes using encoding modeling. We then constructed semantic brain networks by evaluating the similarity of these semantic representations and conducted graph theory-based network analyses. Neurotypical networks had small-world properties similar to those of natural languages, suggesting small-worldness as a universal property in semantic knowledge networks. Conversely, small-worldness was significantly reduced in networks of schizophrenia patients and was correlated with psychological measures of delusions. Patients’ semantic networks were partitioned into more distinct categories and had more random within-category structures than those of controls. The differences in conceptual representations manifest altered semantic clustering and associative intrusions that underlie thought disorders. This is the first study to provide pathophysiological evidence for the loosening of associations as reflected in randomization of semantic networks in schizophrenia. Our method provides a promising approach for understanding the neural basis of altered or creative inner experiences of individuals with mental illness or exceptional abilities, respectively.
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影响因子:
4.3
作者:
Achard S;Bullmore E
通讯作者:
Bullmore E
影响因子:
6.6
作者:
Anhøj S;Ødegaard Nielsen M;Jensen MH;Ford K;Fagerlund B;Williamson P;Glenthøj B;Rostrup E
通讯作者:
Rostrup E
DOI:
10.1113/jp271707
发表时间:
2016-04-01
期刊:
The Journal of physiology
影响因子:
--
作者:
Allen AE;Procyk CA;Howarth M;Walmsley L;Brown TM
通讯作者:
Brown TM
影响因子:
5.4
作者:
De Deyne, Simon;Storms, Gert
通讯作者:
Storms, Gert
影响因子:
10.6
作者:
Cho, Kang Ik K.;Kwak, Yoo Bin;Kwon, Jun Soo
通讯作者:
Kwon, Jun Soo