Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls

Tran, Bach Xuan; Nguyen, Tham Thi; Nguyen, Hao Si Anh; Boyer, Laurent; Auquier, Pascal; Fond, Guillaume; Tran, Ha Thi Nhi; Nguyen, Hung; Choi, Jong‐Jin; Latkin, Carl A.; Ho, Cyrus S.H.; Husain, Syeda Fabeha; McIntyre, Roger S.; Zhang, Melvyn; Ho, Roger

doi:10.1016/j.jad.2022.11.091

Cited by 9 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found no pain studies involving the use of near-infrared spectroscopy in daily life contexts. 87 Various EEG devices are available in small, wearable, battery-powered, and wireless brain-computer interfaces (BCIs), 12 but few are plugand-play devices. 97 The technology has critical limitations for use in community settings, including poor signal detection on the scalp, degrading spatial resolution 5,12 ; compromise between number of sensors and memory and power requirements 56 ; and data artefacts from extraneous signals.…”

Section: Discussionmentioning

confidence: 99%

Sensing behavior change in chronic pain: A scoping review of sensor technology for use in daily life

Vitali,

Olugbade,

Eccleston

et al. 2024

Pain

View full text Add to dashboard Cite

Technology offers possibilities for quantification of behaviors and physiological changes of relevance to chronic pain, using wearable sensors and devices suitable for data collection in daily life contexts. We conducted a scoping review of wearable and passive sensor technologies that sample data of psychological interest in chronic pain, including in social situations. Sixty articles met our criteria from the 2783 citations retrieved from searching. Three-quarters of recruited people were with chronic pain, mostly musculoskeletal, and the remainder with acute or episodic pain; those with chronic pain had a mean age of 43 (few studies sampled adolescents or children) and 60% were women. Thirty-seven studies were performed in laboratory or clinical settings and the remainder in daily life settings. Most used only 1 type of technology, with 76 sensor types overall. The commonest was accelerometry (mainly used in daily life contexts), followed by motion capture (mainly in laboratory settings), with a smaller number collecting autonomic activity, vocal signals, or brain activity. Subjective self-report provided “ground truth” for pain, mood, and other variables, but often at a different timescale from the automatically collected data, and many studies reported weak relationships between technological data and relevant psychological constructs, for instance, between fear of movement and muscle activity. There was relatively little discussion of practical issues: frequency of sampling, missing data for human or technological reasons, and the users' experience, particularly when users did not receive data in any form. We conclude the review with some suggestions for content and process of future studies in this field.

show abstract

Section: Discussionmentioning

confidence: 99%

Sensing behavior change in chronic pain: A scoping review of sensor technology for use in daily life

Vitali,

Olugbade,

Eccleston

et al. 2024

Pain

View full text Add to dashboard Cite

show abstract

“…The logistic regression analysis was utilized to find a possible discriminative model for MDD, and receiver operating characteristic (ROC) curve analysis was performed to measure its diagnostic performance in distinguishing MDD patients from HCs in both training and testing sets. The value of the area under the ROC curve (AUC) served as an evaluation metric for diagnostic performance, and AUC = 0.90-1.00 was defined as 'excellent' [38][39][40]. p < 0.05 was defined as significant.…”

Section: Discussionmentioning

confidence: 99%

Elevated SCN11A concentrations associated with lower serum lipid levels in patients with major depressive disorder

Xu,

Zhao,

Ren

et al. 2024

Transl Psychiatry

View full text Add to dashboard Cite

The pathogenesis of major depressive disorder (MDD) involves lipid metabolism. Our earlier research also revealed that MDD patients had much lower total cholesterol (TC) concentrations than healthy controls (HCs). However, it is still unclear why TC decreased in MDD. Here, based on the Ingenuity Knowledge Base’s ingenuity pathway analysis, we found that sodium voltage-gated channel alpha subunit 11A (SCN11A) might serve as a link between low lipid levels and MDD. We analyzed the TC levels and used ELISA kits to measure the levels of SCN11A in the serum from 139 MDD patients, and 65 HCs to confirm this theory and explore the potential involvement of SCN11A in MDD. The findings revealed that TC levels were considerably lower and SCN11A levels were remarkably increased in MDD patients than those in HCs, while they were significantly reversed in drug-treatment MDD patients than in drug-naïve MDD patients. There was no significant difference in SCN11A levels among MDD patients who used single or multiple antidepressants, and selective serotonin reuptake inhibitors or other antidepressants. Pearson correlation analysis showed that the levels of TC and SCN11A were linked with the Hamilton Depression Rating Scales score. A substantial association was also found between TC and SCN11A. Moreover, a discriminative model made up of SCN11A was discovered, which produced an area under a curve of 0.9571 in the training set and 0.9357 in the testing set. Taken together, our findings indicated that SCN11A may serve as a link between low lipid levels and MDD, and showed promise as a candidate biomarker for MDD.

show abstract

“…Lastly, we quantified depressive symptoms using the PHQ-9. While the PHQ-9 has been validated for use in Malawi [ 21 ] complementary new methods that avoid forms of self-response bias might be considered in future research efforts [ 57 ].…”

Section: Discussionmentioning

confidence: 99%

Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members

Mpinga,

Rukundo,

Mwale

et al. 2023

Global Health Action

View full text Add to dashboard Cite

Background Globally, an estimated five percent of adults have major depressive disorder. However, little is known about the relationship between these individuals’ depressive symptoms and their household members’ mental health and well-being. Objectives We aimed to investigate the prevalence and predictors of depressive symptoms among adult household members of patients living with major depressive disorder in Neno District, Malawi. Methods As part of a cluster randomized controlled trial providing depression care to adults with major depressive disorder, we conducted surveys with patients’ household members ( n = 236) and inquired about their overall health, depressive symptoms, disability, and social support. We calculated prevalence rates of depressive disorder and conducted multivariable linear regression and multivariable logistic regression analyses to assess correlates of depressive symptom severity and predictors of having depressive disorder (PHQ-9), respectively, among household members. Results We observed that roughly one in five household members (19%) screened positive for a depressive disorder (PHQ-9 > 9). More than half of household members endorsed six or more of the nine symptoms, with 68% reporting feeling ‘down, depressed, or hopeless’ in the prior two weeks. Elevated depression symptom severity was associated with greater disability (β = 0.17, p < 0.001), less social support (β = −0.04, p = 0.016), and lower self-reported overall health (β = 0.54, p = 0.001). Having depressive disorder was also associated with greater disability (adjusted Odds Ratio [aOR] = 1.12, p = 0.001) and less social support (aOR = 0.97, p = 0.024). Conclusions In the Malawian context, we find that depressive disorder and depression symptoms are shared attributes among household members. This has implications for both screening and treatment, and it suggests that mental health should be approached from the vantage point of the broader social ecology of the household and family unit. Trial Registration ClinicalTrials.gov (NCT04777006) - March 2, 2021.

show abstract

Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls

Cited by 9 publications

References 31 publications

Sensing behavior change in chronic pain: A scoping review of sensor technology for use in daily life

Sensing behavior change in chronic pain: A scoping review of sensor technology for use in daily life

Elevated SCN11A concentrations associated with lower serum lipid levels in patients with major depressive disorder

Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members

Contact Info

Product

Resources

About