Attention deficits in adults with Major depressive disorder: A systematic review and meta-analysis

Wang, Xiang; Zhou, Huan; Zhu, Xiongzhao

doi:10.1016/j.ajp.2020.102359

Cited by 21 publications

(22 citation statements)

References 48 publications

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“…Motor difficulties were another central symptom in this depression network model, which confirms the notion that psychomotor problems are among the most important individual symptoms in depression (68)(69)(70)(71)(72). This could be partly attributed to disrupted structural and functional coupling between different brain networks (73,74).…”

Section: Discussionsupporting

confidence: 82%

Network Analysis of Depressive Symptoms Among Residents of Wuhan in the Later Stage of the COVID-19 Pandemic

Zhao

Zhang

et al. 2021

Front. Psychiatry

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Background: Depression has been a common mental health problem during the COVID-19 epidemic. From a network perspective, depression can be conceptualized as the result of mutual interactions among individual symptoms, an approach that may elucidate the structure and mechanisms underlying this disorder. This study aimed to examine the structure of depression among residents in Wuhan, the epicenter of the COVID-19 outbreak in China, in the later stage of the COVID-19 pandemic.Methods: A total of 2,515 participants were recruited from the community via snowball sampling. The Patient Health Questionnaire was used to assess self-reported depressive symptoms with the QuestionnaireStar program. The network structure and relevant centrality indices of depression were examined in this sample.Results: Network analysis revealed Fatigue, Sad mood, Guilt and Motor disturbances as the most central symptoms, while Suicide and Sleep problems had the lowest centrality. No significant differences were found between women and men regarding network structure (maximum difference = 0.11, p = 0.44) and global strength (global strength difference = 0.04; female vs. male: 3.78 vs. 3.83, p = 0.51), a finding that suggests there are no gender differences in the structure or centrality of depressive symptoms.Limitations: Due to the cross-sectional study design, causal relationships between these depressive symptoms or dynamic changes in networks over time could not be established.Conclusions: Fatigue, Sad mood, Guilt, and Motor disturbances should be prioritized as targets in interventions and prevention efforts to reduce depression among residents in Wuhan, in the later stage of the COVID-19 pandemic.

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Section: Discussionsupporting

confidence: 82%

Network Analysis of Depressive Symptoms Among Residents of Wuhan in the Later Stage of the COVID-19 Pandemic

Zhao

Zhang

et al. 2021

Front. Psychiatry

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“…Two meta-analyses on attentional deficits and depression report effect sizes (Cohen's d) that reflect the difference between performance on attention tasks between people with depression and healthy controls. These effect sizes range from 0.34 to 0.65 (Rock et al, 2014 ) and 0.59 (Wang et al, 2020 ), which indicate significant moderate effects. We cannot directly compare, as we do not examine group differences, but rather predict a range of PHQ-9 scores from a set of error scores.…”

Section: Discussionmentioning

confidence: 99%

“…These studies have found impairments correlated with updating (the ability to take new information into working memory), shifting (the ability to allocate attention to whatever is most relevant at the time), and inhibition (the ability to prevent irrelevant stimuli from impairing performance) (Snyder, 2013 ). For example, meta-analyses have found that depressed participants show significant deficits compared to healthy controls on the D2 Test of Attention, Delayed Matching to Sample Task, and Spatial Working Memory Task (Rock et al, 2014 ; Wang et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we harness depression-related differences in errors within attention tasks to design and evaluate a sub-clinical digital assessment tool that integrates digital biomarkers of depression. Based on three standard cognitive tasks (D2 Test of Attention: Brickenkamp, 1962; (Brickenkamp and Zillmer, 1998 ), Delayed Matching to Sample Task: Ferster, 1960 ; Sahakian et al, 1988 ; Robbins et al, 1997 ; Jäkälä et al, 1999 , Spatial Working Memory Task: Owen et al, 1990 ; De Luca et al, 2003 ) on which people with depression have been known to perform differently than a control group (Rock et al, 2014 ; Wang et al, 2020 ), we designed a digital assessment tool that can be deployed outside of laboratory contexts, in uncontrolled home environments on computer systems with widely varying system characteristics (e.g., display resolution, input devices). We evaluated the assessment tool in two online studies—with participants in their own homes completing the task on their own digital devices—to show that the assessment tool can significantly predict scores from the Patient Health Questionnaire (PHQ-9: Kroenke et al, 2001 )—a standard self-report tool for assessing depression in clinical contexts.…”

Section: Introductionmentioning

confidence: 99%

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Remote Assessment of Depression Using Digital Biomarkers From Cognitive Tasks

et al. 2021

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We describe the design and evaluation of a sub-clinical digital assessment tool that integrates digital biomarkers of depression. Based on three standard cognitive tasks (D2 Test of Attention, Delayed Matching to Sample Task, Spatial Working Memory Task) on which people with depression have been known to perform differently than a control group, we iteratively designed a digital assessment tool that could be deployed outside of laboratory contexts, in uncontrolled home environments on computer systems with widely varying system characteristics (e.g., displays resolution, input devices). We conducted two online studies, in which participants used the assessment tool in their own homes, and completed subjective questionnaires including the Patient Health Questionnaire (PHQ-9)—a standard self-report tool for assessing depression in clinical contexts. In a first study (n = 269), we demonstrate that each task can be used in isolation to significantly predict PHQ-9 scores. In a second study (n = 90), we replicate these results and further demonstrate that when used in combination, behavioral metrics from the three tasks significantly predicted PHQ-9 scores, even when taking into account demographic factors known to influence depression such as age and gender. A multiple regression model explained 34.4% of variance in PHQ-9 scores with behavioral metrics from each task providing unique and significant contributions to the prediction.

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“…With this block design, it is considered that some patients have difficulty in maintaining attention and concentration on tasks for a long time, and data are likely to vary due to performance and control tasks depending on the stage and condition of the disease. Indeed, Wang et al (17) reported in a meta-analysis that patients with MDD have impaired sustained attention and may have greater intra-individual variability. Therefore, in this study, we adopted an event-related design to reduce the sustained attention load and overcome performance factors.…”

Section: Introductionmentioning

confidence: 99%

The Changes in Concentration of Cerebral Oxygenated Hemoglobin During Single Event-Related Japanese Shiritori Task in Patients With Major Depression Disorder: Comparison With Healthy Subjects

et al. 2021

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Patients with major depressive disorder (MDD) have been reported to show cognitive impairments in attention, cognition control, and motivation. The purpose of this study is to compare and examine the characteristics of frontal and temporal cortical activity in outpatients with MDD during the word production task (Shiritori) using a single event-related Near-Infrared Spectroscopy (NIRS) measurement method that was originally devised. The subjects were 29 MDD patients and 29 age matched healthy controls. In this task, one session consisted of two contrasting conditions (word production task, control condition), and all subjects alternated between these conditions. Each word was visually presented by a monitor for 0.3 s as an activation task and a fixed circle was presented for 12 s. In the activation task, subjects had to immediately generate a noun that starts with the last syllable of the presented word and they were required to say only creatures. From the data obtained at each measurement point during the 20 trials, and averaged waveform during activation task (20 trials) was calculated for each channel. During the word production task, the MDD patients showed significantly smaller activation than the controls in the prefrontal cortex area and inferior parietal area, especially in the left area. In addition, there was a significant negative correlation between Δoxy-Hb at the bilateral temporal lobe area and HAM-D total score in the MDD patients. These findings suggest that a single event-related NIRS measurement during Japanese shiritori tasks may be useful tool for evaluating psychophysiological indices in MDD patients, that relationship between activation and symptom may be of help in predicting functional outcome in patients.

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Attention deficits in adults with Major depressive disorder: A systematic review and meta-analysis

Cited by 21 publications

References 48 publications

Network Analysis of Depressive Symptoms Among Residents of Wuhan in the Later Stage of the COVID-19 Pandemic

Network Analysis of Depressive Symptoms Among Residents of Wuhan in the Later Stage of the COVID-19 Pandemic

Remote Assessment of Depression Using Digital Biomarkers From Cognitive Tasks

The Changes in Concentration of Cerebral Oxygenated Hemoglobin During Single Event-Related Japanese Shiritori Task in Patients With Major Depression Disorder: Comparison With Healthy Subjects

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