Neurotrophic factors and neuroplasticity pathways in the pathophysiology and treatment of depression

Psychopharmacology, Journal Year: 2018, Volume and Issue: 235(8), P. 2195 - 2220

Published: June 30, 2018

Depression is a major health problem with high prevalence and heavy socioeconomic burden in western societies. It associated atrophy impaired functioning of cortico-limbic regions involved mood emotion regulation. has been suggested that alterations neurotrophins underlie neuroplasticity, which may be causally related to the development course depression. Accordingly, mounting evidence suggests antidepressant treatment exert its beneficial effects by enhancing trophic signaling on neuronal synaptic plasticity. However, current antidepressants still show delayed onset action, as well lack efficacy. Hence, deeper understanding molecular cellular mechanisms pathophysiology depression, action antidepressants, might provide further insight drive novel fast-acting more effective therapies. Here, we summarize literature involvement neurotrophic factors Further, advocate future should based neurotrophin theory.

Language: Английский

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Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder

Scientific Reports, Journal Year: 2020, Volume and Issue: 10(1)

Published: June 16, 2020

Abstract Reduced haemodynamic response in the frontotemporal cortices of patients with major depressive disorder (MDD) has been demonstrated using functional near-infrared spectroscopy (fNIRS). Most notably, changes cortical oxy-haemoglobin during a Japanese phonetic fluency task can differentiate psychiatric from healthy controls (HC). However, this paradigm not validated English language. Therefore, present work aimed to distinguish MDD HCs, measured an letter task. One hundred and five HCs 105 took part study. NIRS signals verbal (VFT) was acquired 52-channel system, frontal temporal regions were quantified. Depression severity, psychosocial functioning, pharmacotherapy history noted. Patients had smaller than HCs. In both interest, associated any clinical variables studied. 75.2% 76.5% correctly classified region oxy-haemoglobin, respectively. Haemodynamic by fNIRS is promising biomarker for MDD.

Language: Английский

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Diagnostic and Predictive Applications of Functional Near-Infrared Spectroscopy for Major Depressive Disorder: A Systematic Review

Frontiers in Psychiatry, Journal Year: 2020, Volume and Issue: 11

Published: May 6, 2020

Major depressive disorder (MDD) is a global psychiatric with no established biomarker. There growing evidence that functional near-infrared spectroscopy (fNIRS) has the ability to aid in diagnosis and prediction of treatment response MDD. The aim this review was systematically review, gather from existing studies used fNIRS signals MDD, correlations depression symptomatology, monitoring response.PubMed, EMBASE, ScienceDirect, Cochrane Library databases were searched for published English articles 1980 June 2019 focused on application (i) differentiating depressed versus nondepressed individuals, (ii) correlating turn (iii) responses depression. Studies included if they utilized evaluate cerebral hemodynamic variations patients MDD any age group. quality assessed using Newcastle-Ottawa assessment scale.A total 64 12 being longitudinal, while rest cross-sectional. More than two-thirds (n = 49) had acceptable quality. consistently demonstrated attenuated changes compared healthy individuals. have also shown promise individual symptoms various responses.This provides comprehensive updated diagnostic predictive applications Future involving larger sample sizes, standardized methodology, examination more brain regions an integrative approach, longitudinal follow-ups are needed.

Language: Английский

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Cortical haemodynamic response measured by functional near infrared spectroscopy during a verbal fluency task in patients with major depression and borderline personality disorder

EBioMedicine, Journal Year: 2019, Volume and Issue: 51, P. 102586 - 102586

Published: Dec. 24, 2019

Functional near infrared spectroscopy (fNIRS) provides a direct and quantitative assessment of cortical haemodynamic function during cognitive task. This functional neuroimaging modality may be used to elucidate the pathophysiology psychiatric disorders, identify neurophysiological differences between co-occurring disorders. However, fNIRS research on borderline personality disorder (BPD) has been limited. Hence, this study aimed compare cerebral in healthy controls (HC), patients with major depressive (MDD) BPD. signals verbal fluency task designed for clinical was recorded all participants. Demographics, history symptom severity were also noted. Compared HCs (n = 31), both patient groups (MDD, n 31; BPD, 31) displayed diminished response frontal, temporal parietal cortices. Moreover, right frontal cortex is markedly lower MDD compared Normal BPD disrupted, but not as extensively MDD. These results provide further evidence distinction from

Language: Английский

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Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches

EBioMedicine, Journal Year: 2022, Volume and Issue: 79, P. 104027 - 104027

Published: April 28, 2022

Early diagnosis of major depressive disorder (MDD) could enable timely interventions and effective management which subsequently improve clinical outcomes. However, quantitative objective assessment tools for the suspected cases who present with symptoms have not been fully established.Based on a large-scale dataset (n = 363 subjects) collected functional near-infrared spectroscopy (fNIRS) measurements during verbal fluency task (VFT), this study proposed data representation method extracting spatiotemporal characteristics NIRS signals, emerged as candidate predictors in two-phase machine learning framework to detect distinctive biomarkers MDD. Supervised classifiers (e.g., support vector (SVM), k-nearest neighbors (KNN)) cooperated cross-validation were implemented evaluate predictive capability selected features training set. Another test set that was involved developing algorithms enabled independent model's generalization.For classification optimal fusion features, SVM classifier achieved highest accuracy 75.6% ± 4.7% nested cross-validation, correct prediction rate 78.0% sensitivity 75.0% specificity 81.4% Moreover, multiway ANOVA demographic factors confirmed twenty out 39 significantly correlated MDD-distinctive consequence.The abnormal prefrontal activity MDD may be quantified diminished relative intensity inappropriate activation timing hemodynamic response, resulting an objectively measurable biomarker assessing cognitive deficits screening at early stage.This funded by NUS iHeathtech Other Operating Expenses (R-722-000-004-731).

Language: Английский

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Differences in prefrontal cortex activation in Chinese college students with different severities of depressive symptoms: A large sample of functional near-infrared spectroscopy (fNIRS) findings

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 350, P. 521 - 530

Published: Jan. 17, 2024

Language: Английский

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A Longitudinal Functional Neuroimaging Study in Medication-Naïve Depression after Antidepressant Treatment

PLoS ONE, Journal Year: 2015, Volume and Issue: 10(3), P. e0120828 - e0120828

Published: March 18, 2015

Recent studies have indicated the potential clinical use of near infrared spectroscopy (NIRS) as a tool in assisting diagnosis major depressive disorder (MDD); however, it is still unclear whether NIRS signal changes during cognitive task are state- or trait-dependent, and could be neural predictor treatment response. Therefore, we conducted longitudinal study to explore frontal haemodynamic following antidepressant medication-naïve MDD using 52-channel NIRS. This included 25 individuals with 62 healthy controls (HC). We performed scans before after measured [oxy-Hb] activation verbal fluency (VFT) treatment. Individuals showed significantly decreased values VFT compared HC bilateral temporal cortices at baseline. There were no between pre- post-antidepressant time points cohort despite significant improvement symptoms. was association mean baseline symptoms inferior middle gyri MDD. These findings suggest that hypofrontality response may represent trait marker for depression rather than state marker. Moreover, correlation analysis indicates signals initiation biological predict patient's The present provides further evidence support application depression.

Language: Английский

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A Newcomer's Guide to Functional Near Infrared Spectroscopy Experiments

IEEE Reviews in Biomedical Engineering, Journal Year: 2019, Volume and Issue: 13, P. 292 - 308

Published: Oct. 17, 2019

This review presents a practical primer for functional near-infrared spectroscopy (fNIRS) with respect to technology, experimentation, and analysis software. Its purpose is jump-start interested practitioners considering utilizing non-invasive, versatile, nevertheless challenging window into the brain using optical methods. We briefly recapitulate relevant anatomical foundations give short historical overview. describe competing types of illumination (trans-illumination, reflectance, differential reflectance) data collection methods (continuous wave, time domain frequency domain). Basic components (light sources, detection, recording components) fNIRS systems are presented. Advantages limitations techniques offered, followed by list very recommendations its use. A variety experimental clinical studies sampled, shedding light on many brain-related ailments. Finally, we discuss number freely available presentation packages suited analysis. In conclusion, recommend due ever-growing body applications, state-of-the-art neuroimaging technique manageable hardware requirements. It can be safely concluded that adds new arrow quiver neuro-medical examinations both great versatility limited costs.

Language: Английский

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Classifying Major Depressive Disorder Using fNIRS During Motor Rehabilitation

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Year: 2020, Volume and Issue: 28(4), P. 961 - 969

Published: Feb. 7, 2020

Major depressive disorder (MDD) has shown to negatively impact physical recovery in a variety of medical events (e.g., stroke and spinal cord injuries). Yet depression assessments, which are typically subjective nature, seldom considered develop or guide rehabilitation strategies. The present study developed predictive assessment technique using functional near-infrared spectroscopy (fNIRS) that can be rapidly integrated performed concurrently with existing tasks. Thirty-one volunteers, including 14 adults clinically diagnosed MDD 17 healthy adults, participated the study. Brain oxy-hemodynamic (HbO) responses were recorded 16-channel wearable continuous-wave fNIRS device while volunteers Grasp Release Test four 16-minute blocks. Ten features, extracted from HbO signals, each channel served as inputs XGBoost Random Forest algorithms for block combination successive Top 5 common features resulted classification accuracy 92.6%, sensitivity 84.8%, specificity 91.7% classifier. This identified mean HbO, full width half maximum kurtosis, specific neuromarkers, predicting across depression-related regions interests (i.e., dorsolateral ventrolateral prefrontal cortex). Our results suggest head probe monitoring brain regions, limiting extraction few enable quick setup rapid patients. overarching goal is embed neurotechnology during post-stroke post-spinal-cord-injury sessions monitor patients' symptomology so actively decisions about motor therapies.

Language: Английский

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fNIRS Evidence for Distinguishing Patients With Major Depression and Healthy Controls

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Year: 2021, Volume and Issue: 29, P. 2211 - 2221

Published: Jan. 1, 2021

In recent years, major depressive disorder (MDD) has been shown to negatively impact physical recovery in a variety of patients. Functional near-infrared spectroscopy (fNIRS) is tool that can potentially supplement clinical interviews and mental state examinations establish psychiatric diagnosis monitor treatment progress. Thirty-two subjects, including 16 patients clinically diagnosed with MDD healthy controls (HCs), participated the study. Brain oxyhemoglobin (HbO) deoxyhemoglobin (HbR) responses were recorded using 22-channel continuous-wave fNIRS device while subjects performed emotional sound test. This study evaluated difference between HCs methods. comparison Pearson correlation coefficients HbO/HbR each channel four scores, had significantly different Athens Insomnia Scale (AIS) scores. By quantitative evaluation functional association, we found aberrant connectivity compared HCs. Furthermore, concluded HCs, there marked abnormalities blood oxygen bilateral ventrolateral prefrontal cortex (VLPFC) dorsolateral (DLPFC). Four statistical-based features extracted from HbO signals vector-based both HbR served as inputs simple neural networks (multilayer network (MNN), feedforward (FNN), cascade forward (CFNN) recurrent (RNN)). Through an analysis combinations features, combination 4 common (mean, STD, area under receiver operating characteristic curve (AUC) slope) yielded highest classification accuracy 89.74% for fear emotion. The novel feature (CBV, COE, |L | K) resulted 99.94% top 10 selected by ReliefF selection algorithm, resulting accuracies 83.52% 91.99%, respectively. identified AUC angle K specific neuromarkers predicting across depression-related regions (PFC). These findings suggest measurement PFC may serve supplementary test routine practice further support MDD.

Language: Английский

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