Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Mar 20:12:21.
doi: 10.3389/fnagi.2020.00021. eCollection 2020.

Laterality of Attentional Networks in Patients With Cerebral Small Vessel Disease

Affiliations

Laterality of Attentional Networks in Patients With Cerebral Small Vessel Disease

Shanshan Cao et al. Front Aging Neurosci. .

Abstract

Introduction: Problems with attention are common in patients with cerebral small vessel disease (CSVD). The normal human brain exhibits functional and structural asymmetry. However, it is unknown whether there is lateralization of attention in patients with CSVD. Objective: This study aims to investigate attention separately in both cerebral hemispheres in patients with CSVD using the computer-based Lateralized Attention Network Test-Revised (LANT-R). Methods: The total number of subjects included was 58, which includes the CSVD (N = 35) and healthy control (HC, N = 23) groups. All subjects completed the LANT-R paradigm and neuropsychological background tests. Results: The results indicate that there is an left hemisphere (LH) lateralization in orienting network efficiency in the HC group. However, this lateralization was not apparent in the CSVD group. Furthermore, the difference between groups was significant (interaction P = 0.02). In addition, the scores of subjects in the CSVD group are lower in several cognitive domains, including attention function, memory function, information processing speed, and executive function, compared with the controls. Conclusion: Patients with CSVD change in the lateralization of attention compared with the normal elderly. The decrease in attention in patients with CSVD might be caused by the reduced ability of selecting useful information in the LH.

Keywords: attention function; cerebral small vessel disease; cognition; cognitive impairment; lateralization.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Schematic of Lateralized Attention Network Test—Revised (LANT-R).
Figure 2
Figure 2
Alerting network efficiency in healthy control (HC) and cerebral small vessel disease (CSVD) groups.
Figure 3
Figure 3
Orienting network efficiencies in HC and CSVD groups. *Significant at the 0.05 level (2-tailed).
Figure 4
Figure 4
Executive control network efficiency in HC and CSVD groups.
Figure 5
Figure 5
Interaction effect between HC group and CSVD group in orienting efficiency.
Figure 6
Figure 6
The orienting efficiency in the right hemisphere (RH) in HC and CSVD group. *Significant at the 0.05 level (2-tailed).
Figure 7
Figure 7
Correlation between the Fazekas score and orienting efficiency in patients with CSVD.
Figure 8
Figure 8
Correlation between left hemisphere (LH), RH, and overall validity effect and total average reaction time (RT) in the HC group.

References

    1. Andersen R. A., Snyder L. H., Bradley D. C., Xing J. (1997). Multimodal representation of space in the posterior parietal cortex and its use in planning movements. Annu. Rev. Neurosci. 20, 303–330. 10.1146/annurev.neuro.20.1.303 - DOI - PubMed
    1. Aron A. R., Fletcher P. C., Bullmore E. T., Sahakian B. J., Robbins T. W. (2003). Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans. Nat. Neurosci. 6, 115–116. 10.1038/nn1003 - DOI - PubMed
    1. Asanowicz D., Marzecová A., Jáskowski P., Wolski P. (2012). Hemispheric asymmetry in the efficiency of attentional networks. Brain Cogn. 79, 117–128. 10.1016/j.bandc.2012.02.014 - DOI - PubMed
    1. Atkinson J., Braddick O. (2012). Visual attention in the first years: typical development and developmental disorders. Dev. Med. Child Neurol. 54, 589–595. 10.1111/j.1469-8749.2012.04294.x - DOI - PubMed
    1. Barnes J., Carmichael O. T., Leung K. K., Schwarz C., Ridgway G. R., Bartlett J. W., et al. (2013). Vascular and Alzheimer’s disease markers independently predict brain atrophy rate in Alzheimer’s disease neuroimaging initiative controls. Neurobiol. Aging 34, 1996–2002. 10.1016/j.neurobiolaging.2013.02.003 - DOI - PMC - PubMed

LinkOut - more resources