Cognitive Impairment and Depression

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Social Cognitive and Affective Neuroscience".

Deadline for manuscript submissions: closed (25 August 2023) | Viewed by 4246

Special Issue Editors


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Guest Editor
1. School of Nursing and Midwifery, Edith Cowan University, Perth, WA, Australia
2. School of Nursing and Midwifery, Trinity College, Dublin, Ireland
Interests: large and small cerebral vessel disease; neurodegeneration; cognitive dysfunction; mood disorders; neurorehabilitation after stroke; biomarkers associated with cognition and stroke; life course development; behavioural health and health psychology; healthcare systems, innovations and clinical guidelines
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Interests: depression; cognitive impairments; Alzheimer's disease; dementia; focal dystonia; MRI; gray matter volume; micro-structure; functional connectivity; DTI

Special Issue Information

Dear Colleagues,

In the last two decades, there has been increasing amount of interest in the relationship between mood and emotional status influencing cognitive function. Available evidence supporting the association between mood disorders, e.g., depression, and cognitive impairment has been well documented in different disease groups and patient cohorts. Despite the historical evidence made between cognition and emotion in terms of brain localization and connectivity, disease-related studies have not always acknowledged this neuroscientific basis and connection.

This Special Issue of Brain Sciences aims to present evidence from healthy and disease groups, highlighting the association between cognitive impairment and depression in different cohorts to include healthy adults and patients across the life course in addition to age-related studies. Some key objectives will be to identify (1) factors explaining the association between cognitive impairment and depression at clinical and molecular levels; (2) variations in measurement and assessment of cognitive impairment and depression in patient cohort studies; (3) address the association from the perspectives of severity, and types of cognitive impairment and depression; (4) the specific and common patterns associated with depression and cognitive impairment; (5) the mechanism of potential treatments or interventions for depression and cognitive impairment; and (6) whether depression is the risk fact for transformation of cognitive impairment to dementia or AD.  

Prof. Dr. Claire Donnellan
Dr. Jinping Xu
Guest Editors

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Keywords

  • cognitive impairment
  • cognitive dysfunction
  • mood disorders
  • depression
  • major depression disorders
  • bipolar disorders
  • emotion
  • cognition

Published Papers (2 papers)

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Research

23 pages, 5702 KiB  
Article
Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology
by Zhanbo Tao, Ningxia Sun, Zhen Yuan, Zeyuan Chen, Jiakang Liu, Chen Wang, Shuwu Li, Xiaowen Ma, Bin Ji and Kai Li
Brain Sci. 2023, 13(10), 1415; https://doi.org/10.3390/brainsci13101415 - 5 Oct 2023
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Abstract
Depression is a prevalent mental disorder, with young people being particularly vulnerable to it. Therefore, we propose a new intelligent and rapid screening method for depression risk in young people based on eye tracking technology. We hypothesized that the “emotional perception of eye [...] Read more.
Depression is a prevalent mental disorder, with young people being particularly vulnerable to it. Therefore, we propose a new intelligent and rapid screening method for depression risk in young people based on eye tracking technology. We hypothesized that the “emotional perception of eye movement” could characterize defects in emotional perception, recognition, processing, and regulation in young people at high risk for depression. Based on this hypothesis, we designed the “eye movement emotional perception evaluation paradigm” and extracted digital biomarkers that could objectively and accurately evaluate “facial feature perception” and “facial emotional perception” characteristics of young people at high risk of depression. Using stepwise regression analysis, we identified seven digital biomarkers that could characterize emotional perception, recognition, processing, and regulation deficiencies in young people at high risk for depression. The combined effectiveness of an early warning can reach 0.974. Our proposed technique for rapid screening has significant advantages, including high speed, high early warning efficiency, low cost, and high intelligence. This new method provides a new approach to help effectively screen high-risk individuals for depression. Full article
(This article belongs to the Special Issue Cognitive Impairment and Depression)
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12 pages, 1672 KiB  
Article
Antidepressant Activities of Synthesized Benzodiazepine Analogues in Mice
by Faizan Ul Haq, Mohammad Shoaib, Syed Wadood Ali Shah, Haya Hussain, Muhammad Zahoor, Riaz Ullah, Ahmed Bari, Amal Alotaibi and Muhammad Faisal Hayat
Brain Sci. 2023, 13(3), 523; https://doi.org/10.3390/brainsci13030523 - 21 Mar 2023
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Abstract
Depression is a serious psychological disorder which negatively affects human feelings and actions. The use of antidepressants is the therapy of choice while treating depression. However, such drugs are associated with severe side effects. There is a need for efficient and harmless drugs. [...] Read more.
Depression is a serious psychological disorder which negatively affects human feelings and actions. The use of antidepressants is the therapy of choice while treating depression. However, such drugs are associated with severe side effects. There is a need for efficient and harmless drugs. In this connection, the present study was designed to synthesize several substituted benzodiazepine derivatives and explore their antidepressant potentials in an animal model. The chalcone backbone was initially synthesized, which was then converted into several substituted benzodiazepine derivatives designated as 16. The synthesized compounds were identified using spectroscopic techniques. The experimental animals (mice) after acclimatation were subjected to forced swim test (FST) and tail suspension test (TST) after oral administration of the synthesized compounds to evaluate their antidepressant potentials. At the completion of the mentioned test, the animals were sacrificed to determine GABA level in their brain hippocampus. The chloro-substituent compound (2) significantly reduced the immobility time (80.81 ± 1.14 s; p < 0.001 at 1.25 mg/kg body weight and 75.68 ± 3.73 s with p < 0.001 at 2.5 mg/kg body weight dose), whereas nitro-substituent compound (5) reduced the immobility time to 118.95 ± 1.31 and 106.69 ± 3.62 s (p < 0.001), respectively, at the tested doses (FST). For control groups, the recorded immobility time recorded was 177.24 ± 1.82 s. The standard drug diazepam significantly reduced immobility time to 70.13 ± 4.12 s while imipramine reduced it to 65.45 ± 2.81 s (p < 0.001). Similarly, in the TST, the compound 2 reduced immobility time to 74.93 ± 1.14 s (p < 0.001) and 70.38 ± 1.43 s (p < 0.001), while compound 5 reduced it to 88.23 ± 1.89 s (p < 0.001) and 91.31 ± 1.73 s (p < 0.001) at the tested doses, respectively, as compared to the control group immobility time (166.13 ± 2.18 s). The compounds 1, 3, 4, and 6 showed weak antidepressant responses as compared to compounds 2 and 5. The compounds 2 and 5 also significantly enhanced the GABA level in the brain’s hippocampus of experimental animals, indicating the possible involvement of GABAergic mechanism in alleviating the depression which is evident from the significant increase in mRNA levels for the α subunit of the GABAA receptors in the prefrontal cortex of mice as well. From the results, it can be concluded that compound 2 and 5 could be used as alternative drugs of depression. However, further exploration in this connection is needed in other animal models in order to confirm the observed results in this study. Full article
(This article belongs to the Special Issue Cognitive Impairment and Depression)
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