Literature DB >> 29981940

Aberrant functional connectivity between the thalamus and visual cortex is related to attentional impairment in schizophrenia.

Maeri Yamamoto1, Itaru Kushima2, Ryohei Suzuki1, Aleksic Branko1, Naoko Kawano3, Toshiya Inada1, Tetsuya Iidaka4, Norio Ozaki1.   

Abstract

Resting-state (rs) functional magnetic resonance imaging (fMRI) studies have revealed dysfunctional thalamocortical functional connectivity (FC) in schizophrenia. However, the relationship between thalamocortical FC and cognitive impairment has not been thoroughly investigated. We hypothesized that aberrant thalamocortical FC is related to attention deficits in schizophrenia. Thirty-eight patients with schizophrenia and 38 matched healthy controls underwent rs-fMRI and task fMRI while performing a Flanker task. We observed decreased left thalamic activation in patients with schizophrenia using task fMRI to determine the thalamic seed. A seed-based analysis using this seed was performed in the whole brain to assess differences in thalamocortical FC between the groups. Significantly worse performance was observed in the patient group. The rs-fMRI analysis revealed significantly increased FC between the left thalamus seed and the occipital cortices/postcentral gyri in patients when compared to controls. In the patient group, significant positive correlations were observed between the degree of FC from the left thalamus to the bilateral occipital gyri, which correspond to the visual cortex, and the Flanker effect. No significant correlation was detected in the control group. These results indicate that aberrant FC between the left thalamus and the visual cortex is related to attention deficits in schizophrenia.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Conflict; Flanker task; Network; Resting state; fMRI

Mesh:

Year:  2018        PMID: 29981940     DOI: 10.1016/j.pscychresns.2018.06.007

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  3 in total

1.  A new multimodality fusion classification approach to explore the uniqueness of schizophrenia and autism spectrum disorder.

Authors:  Yuhui Du; Xingyu He; Peter Kochunov; Godfrey Pearlson; L Elliot Hong; Theo G M van Erp; Aysenil Belger; Vince D Calhoun
Journal:  Hum Brain Mapp       Date:  2022-04-29       Impact factor: 5.399

2.  Support vector machine-based classification of schizophrenia patients and healthy controls using structural magnetic resonance imaging from two independent sites.

Authors:  Maeri Yamamoto; Epifanio Bagarinao; Itaru Kushima; Tsutomu Takahashi; Daiki Sasabayashi; Toshiya Inada; Michio Suzuki; Tetsuya Iidaka; Norio Ozaki
Journal:  PLoS One       Date:  2020-11-24       Impact factor: 3.240

3.  Involvement of cerebellar and subcortical connector hubs in schizophrenia.

Authors:  Maeri Yamamoto; Epifanio Bagarinao; Masanori Shimamoto; Tetsuya Iidaka; Norio Ozaki
Journal:  Neuroimage Clin       Date:  2022-08-04       Impact factor: 4.891

  3 in total

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