Exploring low clozapine C/D ratios, inverted clozapine-norclozapine ratios and undetectable concentrations as measures of non-adherence in clozapine patients: A literature review and a case series of 17 patients from 3 studies.

BACKGROUND: Up to 1/2 of outpatients prescribed clozapine may be partially/fully non-adherent, based on therapeutic drug monitoring (TDM). Three indices for measuring partial/full non-adherence are proposed a: 1) clozapine concentration/dose (C/D) ratio which drops to half or more of what is expected in the patient; 2) clozapine/norclozapine ratio that becomes inverted; and 3) clozapine concentration that becomes non-detectable. METHODS: These 3 proposed indices are based on a literature review and 17 cases of possible non-adherence from 3 samples: 1) an inpatient study in a Chinese hospital, 2) an inpatient randomized clinical trial in a United States hospital, and 3) and a Uruguayan outpatient study. RESULTS: The first index of non-adherence is a clozapine C/D ratio which is less than half the ratio corresponding to the patient's specific ancestry group and sex-smoking subgroup. Knowing the minimum therapeutic dose of the patient based on repeated TDM makes it much easier to establish non-adherence. The second index is inverted clozapine/norclozapine ratios in the absence of alternative explanations. The third index is undetectable concentrations. By using half-lives, the chronology of the 3 indices of non-adherence was modeled in two patients: 1) the clozapine C/D ratio dropped to ≥1/2 of what is expected from the patient (around day 2); 2) the clozapine/norclozapine ratio became inverted (around day 3); and 3) the clozapine concentration became undetectable by the laboratory (around days 9-11). CONCLUSION: Prospective studies should further explore these proposed clozapine indices in average patients, poor metabolizers (3 presented) and ultrarapid metabolizers (2 presented).

Mental Health Impact of COVID-19 Infection on Postpartum Women from Lower and Middle-income Backgrounds in India and its Effects on Early Mother-infant Bonding: An Observational Study.

The study was designed to examine the mental health impact of COVID-19 infection in postpartum women and its effects on mother-infant bonding during the first eight weeks postpartum. Fifty-seven consenting eligible postpartum women were recruited for the study. They were assessed at two time points using standardized rating scales to measure distress and uniquely designed scales assessing COVID-19-specific outcome fears and bonding. Almost half [42%] of postpartum women with COVID-19 suffered from a probable anxiety disorder, and one-third [33.3%] suffered from probable depression. The overwhelming majority [91.2%] experienced COVID-19-specific fear. There was an inverse relationship between one dimension of maternal caregiving and self-report depression and anxiety scores, respectively. Additionally, despite discharge, 25% of the mothers had not breastfed the infants till the 8th-week postpartum period, which is in discordance with the World Health Organization (WHO) recommendation of exclusive breastfeeding up to 6 months of age that is widely practiced in India. The novel COVID-19 pandemic was associated with anxiety and depression, impacting mother-infant bonding. Therefore, there is a need for specialized mental health services and individualized breastfeeding interventions for this vulnerable population to ensure positive outcomes.

Laparoscopic subcutaneous onlay mesh repair for ventral hernia: Our early experience.

Introduction: Repair of the ventral hernia is an ongoing challenge in surgery, and a number of surgical techniques have been developed ranging from direct suturing techniques to the use of various mesh types in different planes of the abdominal wall to close the defect and strengthen the musculofascial tissue. Laparoscopic subcutaneous onlay mesh (SCOM) repair is a novel procedure developed recently for ventral hernia repair. We would like to share our experience with laparoscopic SCOM repair. Patients and Methods: This is a prospective observational study of patients who have undergone ventral hernia repair at Bangalore Endoscopic Surgery Training Institute and Research Centre from June 2020 to June 2022. A total of 20 patients are included in this study. Statistical Analysis Used: The data were entered into MS Excel and analysed. Results: A total of 20 patients underwent SCOM repair with a defect size measuring up to 8 cm × 8 cm and a mean operative time of 117 min. Three patients had seroma formation and one patient had surgical site infection. No recurrence is seen after 1-year 2-month follow-up. Conclusion: SCOM repair is the newer approach to ventral hernia repair with the advantage over open onlay mesh repair in terms of less pain and better cosmesis. SCOM repair avoids intraperitoneal dissection which may lead to visceral injuries as well as subsequent intraperitoneal adhesions. The acceptance of such surgeries would depend on further long-term studies.

Effectiveness of blended versus fully digital training in primary care psychiatry: A retrospective comparison from India.

Objectives: We compared effectiveness of blended mode (consisting of traditional classroom teaching and e-learning sessions) and fully digital mode (e-learning sessions alone) of primary care psychiatry training for primary care doctors in Chhattisgarh. Materials and Methods: We retrospectively compared the engagement in training, knowledge (K), attitude (A), and practice (P) in primary care psychiatry, and patient identification by primary care doctors (n = 941) from Chhattisgarh region who underwent training through either blended training mode (n = 546) or fully digital training mode (n = 395) for 16 h each, using Clinical Schedules for Primary Care Psychiatry based modules between June 2019 and November 2020 with a tertiary care center (NIMHANS, Bengaluru) as hub. Statistical Analysis: The Statistical Package for the Social Sciences version 27 was used to analyze the data. Continuous variables were analyzed using the independent samples t-test, and discrete variables were analyzed using the Chi-square test. A repeated measures analysis of variance (ANOVA) (two-way mixed design) was used to see the interaction of training type and time of pre- and post-KAP measurement while controlling for years of experience. The number of patients identified by both training groups over 8 months was also compared using the repeated measures ANOVA (two-way mixed design). Results: Engagement inferred by the number of participants completing pre-KAP forms (75%), post-KAP forms (43%), post-session assessments (37- 47%), case presentation (33.9%), and certification (32.1%) was better in the blended group (P < 0.05). The mean gain in KAP scores was significantly higher in the blended group controlling for the years of experience as primary care doctor (PCD) (F = 30.36, P < 0.001). PCDs in the blended training group consistently identified a higher number of patients with mental illness over 8 months of follow-up (F = 6.21, P < 0.001). Conclusion: The blended mode yielded better results in primary care psychiatry training compared to fully digital mode. In-person interactions while provided for a very brief proportion of the training seem to have an unmistakable imprint on the outcomes and seem critical for better consolidation and assimilation of information, which translates into better practice.

Successful use of ketamine to treat severe depression with suicidality post-COVID-19 - A case report.

Every second patient who suffers from COVID-19 experiences is at risk for depression. The treatment of severe depression with suicidal risk is challenging in patients with COVID-19 given the restrictions in access to and safety concerns with the use of electroconvulsive therapy during the COVID pandemic. Although ketamine is effective in treating depression, especially in presence of acute suicidality, to date, there are no reports on ketamine use to treat severe depression in the context of COVID-19. In this case report, we describe the success of ketamine to treat a person with severe depression and suicidality following COVID-19 infection.

Impact of Technology Driven Mental Health Task-shifting for Accredited Social Health Activists (ASHAs): Results from a Randomised Controlled Trial of Two Methods of Training.

Mental health task shifting is a potential way to address the burgeoning treatment gap for mental illness. Easily available and accessible digital technology can be utilised to continuously engage grassroot level health workers (for example, Accredited Social Health Activists (ASHAs). However, the impact of such a strategy is not yet systematically evaluated. In this randomised controlled trial, longitudinal hybrid training of ASHAs [1 day in-person classroom training and seven online sessions (ECHO model), aimed to screen and refer to commonly prevalent mental health issues in communities] was compared with traditional one-day in-person classroom training. ASHAs (n = 75) from six Primary Health Centres in Ramanagara district, Karnataka, India were randomized into study (SG-ASHAs) and control (CG-ASHAs) groups. After excluding drop-outs, 26 ASHAs in each group were included in the final analysis of the scores on their Knowledge, attitude, and practices (KAP) in mental health. Two house-to-house surveys were conducted by both groups to identify and refer possible cases. The number of screen positives (potential persons with mental illnesses) and the KAP scores formed the outcome measures. Online sessions for SG-ASHAs were completed over 18 months, the COVID-19 pandemic being the main disruptor. SG-ASHAs identified significantly higher number of persons with potential alcohol use disorders [n = 873 (83%); p ≤ 0.001] and common mental disorders [n = 96(4%); p = 0.018], while CG-ASHAs identified significantly higher number of those with potential severe mental disorders [n = 61(61.61%); p ≤ 0.001]. As regards KAP, after controlling for baseline scores, the time effect in RMANOVA favoured SG-ASHAs. Mean total KAP score increased from 16.76 to18.57 (p < 0·01) in SG-ASHAs and from 18.65 to 18.84 (p = 0.76) in CG-ASHAs. However, the Time-group interaction effect did not favour either (F = 0.105; p = 0.748). Compared to traditional training, mentoring ASHAs for extended periods is more impactful. Easily accessible digital technology makes the latter feasible. Scaling up such initiatives carry the potential to considerably improve treatment access for those in need.

Treatment strategies for serotonin reuptake inhibitor-resistant obsessive-compulsive disorder: A network meta-analysis of randomised controlled trials.

OBJECTIVES: Treatment-resistant obsessive-compulsive disorder is a chronic debilitating illness. We conducted a network meta-analysis [NMA] to compare the efficacy of all interventions in SRI-resistant OCD from published Randomised controlled trials [RCT]. METHODS: We performed an NMA of RCTs in SRI resistant OCD from all modalities of treatments; pharmacological, psychological, neuromodulation, neurosurgery including deep brain stimulation. The design-by-treatment interaction inconsistency model within the frequentist framework was adopted with a change in Yale-Brown Obsessive-Compulsive Scale score as the primary outcome. We conducted sensitivity analyses excluding studies examining neurosurgical interventions, deep brain stimulation, studies in the paediatric population, and studies from a single geographical region. We also conducted analyses of interventions categorised into treatment groups. RESULTS: 55 RCTs examining 19 treatments or placebo involving 2011 participants were included in the NMA. Ondansetron [Standardised mean difference -2.01 (95% CI: -3.19, -0.83)], deep TMS [- 1.95 (-3.25, -0.65)], therapist administered Cognitive Behavioural Therapy [CBT-TA] [-1.46 (-2.93, 0.01)] and aripiprazole [-1.36 (-2.56, -0.17)] were ranked as the best four treatments on using the Surface Under the Cumulative Ranking [SUCRA] percentage values (85.4%, 83.2%, 80.3%, 67.9% respectively). While all four interventions had large effect sizes, CBT[TA] narrowly missed statistical significance in our analysis. In sensitivity analyses, deep TMS was ranked as the best treatment strategy for SRI-resistant OCD. The small number of subjects in individual studies, higher confidence interval limits, and wider prediction interval for most agents warrant a cautious interpretation. CONCLUSIONS: Considering the principal analysis and sensitivity analyses together, deep TMS, ondansetron, CBT[TA], and aripiprazole may be considered a first-line intervention for SRI-resistant OCD in adults. OTHER: This work was not funded. The NMA has been registered with PROSPERO, [Registration number: CRD42020173589].

A bird's eye view of the mental health systems in India.

Background: A staggering 85% of the global population resides in low- and middle-income countries (LAMICs). India stands as an exemplary pioneer in the realm of mental health initiatives among LAMICs, having launched its National Mental Health Program in 1982. It is imperative to effectively evaluate mental health systems periodically to cultivate a dynamic learning model sustained through continuous feedback from mental healthcare structures and processes. Materials and Methods: The National Mental Health Survey (NMHS) embarked on the Mental Health Systems Assessment (MHSA) in 12 representative Indian states, following a pilot program that contextually adapted the World Health Organization's Assessment Instrument for Mental Health Systems. The methodology involved data collection from various sources and interviews with key stakeholders, yielding a set of 15 quantitative, 5 morbidity, and 10 qualitative indicators, which were employed to encapsulate the functional status of mental health systems within the surveyed states by using a scorecard framework. Results: The NMHS MHSA for the year 2015-16 unveiled an array of indices, and the resultant scorecard succinctly encapsulated the outcomes of the systems' evaluation across the 12 surveyed states in India. Significantly, the findings revealed considerable interstate disparities, with some states such as Gujarat and Kerala emerging as frontrunners in the evaluation among the surveyed states. Nevertheless, notable gaps were identified in several domains within the assessed mental health systems. Conclusion: MHSA, as conducted within the framework of NMHS, emerges as a dependable, valid, and holistic mechanism for documenting mental health systems in India. However, this process necessitates periodic iterations to serve as critical indicators guiding the national mental health agenda, including policies, programs, and their impact evaluation.

Nationally representative epidemiological study of social anxiety disorder from India.

Background: Social anxiety disorder (SAD), also termed as social phobia, is a disabling psychiatric condition with limited epidemiological research on it in India. This study, using data from the National Mental Health Survey (NMHS), 2016, is the first to explore its current prevalence and associated factors in India. Materials and Methods: The NMHS in India used a comprehensive population-based study with subjects selected through a multistage stratified random cluster sampling technique across 12 states. The study included 34,802 adults interviewed with the Mini-International Psychiatric Interview 6.0.0. Firth penalized logistic regression (FPLR) was used to estimate covariate odds ratios (ORs), and the treatment gap for SAD and disability measured using Sheehan's disability scale was calculated. Results: The study found a 0.47% prevalence of SAD, with an average age of 35.68 years (standard deviation (SD) = 15.23) among those affected. Factors, such as male gender, unemployment, and living in urban areas, were associated with higher odds of SAD, while the elderly had lower odds. A significant proportion of individuals with SAD experienced disability in work (63%), social life (77%), and family life (68%). They spent a median of ₹ 2500 per month on treatment and had a high rate of comorbid psychiatric disorders (58%). The treatment gap was substantial at 82%. Conclusions: A considerable portion of India's population (approximately >65 lakhs) is affected by SAD. Surprisingly, the NMHS 2016 report indicates a higher risk of SAD among males compared with females, a trend that warrants further investigation. SAD in India is linked to significant disability and a considerable treatment gap, emphasizing the need for innovative approaches to address this large, affected population, especially in light of the scarcity of mental health professionals.

Bipolar affective disorder in India: A multi-site population-based cross-sectional study.

Introduction: Bipolar Affective Disorder (BPAD) merits careful consideration within the medical and healthcare communities, researchers, and policymakers. This is due to its substantial disability burden, elevated prevalence of co-morbidities, heightened lifetime risk of suicidality, and a significant treatment gap. This article focuses on the lifetime and current prevalence, correlates, co-morbidities, associated disabilities, socio-economic impact, and treatment gap for BPAD in the adult population of the National Mental Health Survey (NMHS) 2016. Materials and Methods: The NMHS 2016 was a nationally representative study conducted across 12 Indian states between 2014 and 2016. A multi-stage, stratified, random cluster sampling technique based on probability proportionate to size at each stage was used. The diagnosis of BPAD was based on Mini-International Neuropsychiatric Interview 6.0.0. Sheehan's Disability Scale was used to assess the disability. Results: A total of 34,802 adults were interviewed. The overall weighted prevalence of BPAD was 0.3% [95% confidence interval (CI): 0.29-0.31] for current and 0.5% (95% CI: 0.49-0.51) for lifetime diagnosis. Male gender [odds ratio (OR) 1.56] and residence in urban metropolitans (OR 2.43) had a significantly higher risk of a lifetime diagnosis of BPAD. Substantial cross-sectional co-morbidities were noted as per MINI 6.0.0 with the diagnosis of current BPAD such as tobacco use disorder (33.3%), other substance use disorders (14.6%), and anxiety disorders (10.4%). Two-thirds of persons with current BPAD reported disability of varying severity at work (63%), social (59.3%), and family life (63%). The treatment gap for current BPAD was 70.4%. Conclusion: Most individuals with current BPAD reported moderate-severe disability. There were substantial co-morbidities and a large treatment gap. These warrant concentrated efforts from policymakers in devising effective strategies.

Firth's penalized logistic regression: A superior approach for analysis of data from India's National Mental Health Survey, 2016.

The National Mental Health Survey of India (NMHS) was a ground-breaking nationwide study that harnessed a uniform, standardized methodology blending quantitative and qualitative approaches. Covering data from 12 states across diverse regions, its mission was to gauge the prevalence of psychiatric disorders, bridge treatment gaps, explore service utilization, and gauge the socioeconomic repercussions of these conditions. This initiative provided pivotal insights into the intricate landscape of mental health in India. One of the analyses planned for NMHS data was to undertake a logistic regression analysis with an aim to unravel how various sociodemographic factors influence the presence or absence of specific psychiatric disorders. Within this pursuit, two substantial challenges loomed. The first pertained to data separation, a complication that could perturb parameter estimation. The second challenge stemmed from the existence of disorders with lower prevalence rates, which resulted in datasets of limited density, potentially undermining the statistical reliability of our analysis. In response to these data-driven hurdles, NMHS recognized the critical necessity for an alternative to conventional logistic regression, one that could adeptly navigate these complexities, ensuring robust and dependable insights from the collected data. Traditional logistic regression, a widely prevalent method for modeling binary outcomes, has its limitations, especially when faced with limited datasets and rare outcomes. Here, the problem of "complete separation" can lead to convergence failure in traditional logistic regression estimations, a conundrum frequently encountered when handling binary variables. Firth's penalized logistic regression emerges as a potent solution to these challenges, effectively mitigating analytical biases rooted in small sample sizes, rare events, and complete separation. This article endeavors to illuminate the superior efficacy of Firth's method in managing small datasets within scientific research and advocates for its more widespread application. We provide a succinct introduction to Firth's method, emphasizing its distinct advantages over alternative analytical approaches and underscoring its application to data from the NMHS 2015-2016, particularly for disorders with lower prevalence.

Exploring the enigma of low prevalence of post-traumatic stress disorder in India.

Introduction: Post-traumatic stress disorder (PTSD) is a chronic psychiatric condition associated with significant distress and dysfunction. While worldwide estimates of prevalence range from 3.9% to 24%, little research has been conducted to identify the prevalence of PTSD in the general population of India. This study analyzes data from the National Mental Health Survey 2015-2016, a comprehensive epidemiological study of mental health disorders in India, to explore the unique characteristics and prevalence of PTSD in the Indian population. Materials and Methods: The National Mental Health Survey 2015-2016 employed a multiple-stage, stratified, cluster-sampling methodology, covering 39,532 individuals in 12 states of India. The Mini-International Neuropsychiatric Interview (MINI) version 6.0.0 was used to diagnose psychiatric disorders, including PTSD. A detailed analysis of sociodemographic profiles, prevalence patterns, comorbidities, economic and social impact, and treatment-seeking behavior was conducted. Firth penalized logistic regression was employed to identify associated sociodemographic factors. Results: The study revealed a low prevalence of PTSD in India at 0.2%, significantly lower than global averages. Factors associated with PTSD included female gender, middle age (40-49 years), and urban residence. The study also highlighted a high rate of comorbid mood and anxiety disorders, substantial disability, poor treatment-seeking behavior, and significant suicidal risk among individuals with PTSD. Conclusion: Our findings underscore the need for culturally informed diagnostic and management programs to accurately identify and address PTSD in the Indian population. Cultural nuances, stigma, and the use of Western-derived diagnostic instruments likely contribute to the underidentification and undertreatment of PTSD in India. The study emphasizes the importance of recognizing and addressing these challenges to improve mental health outcomes in India.

Schizophrenia spectrum disorders in India: A population-based study.

Introduction: Schizophrenia spectrum disorders represent a significant global health concern, contributing significantly to the global burden of disease. The National Mental Health Survey (NMHS) of India, conducted between 2015 and 2016, investigated the prevalence and epidemiological correlates of schizophrenia spectrum disorders in India. Materials and Methods: The NMHS conducted a population-based cross-sectional study in 12 Indian states from 2015 to 2016, encompassing 34,802 adults. The overall study design of the NMHS was a multistage, stratified, random cluster sampling technique, incorporating random selection based on probability proportion to size at each stage. The Mini-International Neuropsychiatric Interview 6.0 was used for psychiatric diagnoses, disability was assessed using Sheehan's disability scale, and the illness-related socioeconomic impact was assessed using a questionnaire based on the World Health Organization Disability Assessment Schedule 2.0. Firth penalized logistic regression was employed to understand the correlates of current schizophrenia spectrum disorder. Results: The study found a lifetime prevalence of schizophrenia spectrum disorders at 1.41%, with a current prevalence of 0.42%. A substantial treatment gap of 72% existed for current cases, rising to 83.3% in urban non-metro areas. The penalized logistic regression revealed that the age group category of 30-49 years, unemployed status, and lower education level had higher odds of association with schizophrenia spectrum disorders. Conclusion: The primary finding of this study is a lifetime prevalence of 1.41%, a current prevalence of 0.42%, and a substantial treatment gap of 72%. Addressing this treatment gap and holistic intervention is crucial for reducing the socioeconomic impact of this disorder. Strengthening the National Mental Health Program and implementing community-based rehabilitation are essential first steps in this direction.

Current prevalence and determinants of generalized anxiety disorder from a nationally representative, population-based survey of India.

Introduction: Generalized anxiety disorder (GAD) is one of the common anxiety disorders leading to impairment and burden. However, GAD remains the least studied anxiety disorder. There is a need for nationally representative epidemiological data of GAD to understand the current burden and plan the mental health policies and programs to attain their unmet needs. Hence, this study focuses on epidemiology, socio-demographic correlates, disability, and treatment gap of GAD from India's National Mental Health Survey (NMHS) 2016. Materials and Methods: NMHS 2016 was a nationally representative epidemiological survey of adult respondents from 12 states of India. NMHS is a multi-stage, stratified, random cluster sampling with random selection based on probability proportional to size at each stage. The Mini-International Neuropsychiatric Interview 6.0.0 used to diagnose psychiatric disorders. Sheehan disability scale was used to assess the disability. The current weighted prevalence of GAD was estimated. Association between GAD and socio-demographic factors was done using Firth's penalized logistic regression. The treatment gap and disability in GAD also calculated. Results: The current weighted prevalence of GAD is 0.57%. The male gender and higher education groups have significantly lesser odds with current GAD. Urban metro and the married group have significantly higher odds with current GAD. The most common comorbid psychiatric disorders are depression (15.8%) followed by agoraphobia (9.4%). Among respondents with current GAD in the past 6 months across three domains, around 2/5th has mild and moderate disability, 1/10th has a severe disability, and 1/20th has an extreme disability. The overall treatment gap of current GAD is 75.7%. Conclusion: NMHS 2016 has provided valuable insights into the epidemiology and burden of GAD among the general population. The available findings provide a glimpse of the current scenario in GAD to aid policymakers in targeting interventions.

Ethical and legal issues concerning COVID 19 vaccinations in persons with mental illness in India.

Mental healthcare in India faces severe challenges amid the ongoing pandemic. India runs the largest vaccination drive globally, including booster doses to rapidly vaccinate its population of over a billion. As persons with mental illness are at greater risk of adverse outcomes from COVID 19, they need prioritized access and administration of these vaccines. This manuscript examines the current legislation and identifies how the legal and ethical frameworks can prioritize COVID 19 vaccinations for persons with mental illness in India through a review of the various legislations of India concerning persons with mental illness and judicial judgments concerning the pandemic and vaccination. Subsequently, we discuss ethical and legal challenges associated with vaccination in this vulnerable population and possible solutions. Based on the current review, the authors recommend the guidelines for capacity assessment for vaccination decisions and discuss existing legal frameworks relevant to the vaccination of persons with mental illness.

The Legality and Ethical Issues of Certifying Laypersons as Mental Health Counselors in India.

Background: The burden of mental health conditions and consequent disability impacts are felt most in low- and middle-income settings. These settings are constrained by the limited availability of resources to provide even essential aspects of mental health care (MHC). Task shifting and sharing interventions have shown promise in delivering community-based MHC across such low-resource settings. Some counseling tasks such as friendship bench interventions have been successfully shifted to laypersons. However, ethical and legal concerns regarding laypersons' incorporation in MHC delivery systems have not been examined. Purpose: To examine the ethical and legal concerns surrounding the certification of laypersons as community-based mental health counselors. Method: We undertook an academic review of various legislations pertinent to MHC service delivery and the certification of allied health care professionals to inform on acceptable and tenable strategies toward incorporating such a task-shifted intervention. Conclusion: Scaling up the training of human resources to address access problems can be the first step in addressing the MHC access and treatment gaps. The certification of laypersons as community-based mental health counselors, although legally tenuous, can be pioneered by tertiary-level MHC institutions. This certification has sound ethical justification and is a progressive step toward realizing universal mental health coverage.

Neurohemodynamic correlates of BDNF gene expression in schizophrenia patients with working memory deficits: A functional MRI study.

INTRODUCTION: Brain-derived neurotrophic factor (BDNF) is involved in neuroplasticity underlying cognitive deficits, including working memory deficits (WMD), in schizophrenia. Methodological challenges and inconsistencies are reported with peripheral BDNF levels. Left dorsolateral prefrontal cortex (DLPFC) is proposed to underlie WMD, though inconsistently. We aimed to explore the correlations between brain activation during working memory task-based functional Magnetic Resonance Imaging (fMRI) and BDNF gene expression in schizophrenia patients with WMD. METHODS: 26 patients with schizophrenia with established WMD were recruited for the study. Blood samples were collected to study lymphocyte BDNF gene expression. Patients underwent task-based fMRI to examine the working memory performance and related brain activation. Whole-brain analysis was performed with 2-back > 0-back and 2-back > rest contrast. The peak intensity values of the activation were used for correlation analysis. RESULTS: Whole brain analysis with 2-back > rest contrast revealed maximum activation in left DLPFC, Brodmann area 9 (t = 10.54, FWE corrected p < 0.05). The baseline BDNF gene expression correlated positively with the peak intensity of brain activation in left DLPFC (r = 0.365, p = 0.033). Negative symptom score negatively correlated with BDNF gene expression (r = -0.499, p = 0.005) and left DLPFC fMRI activation (r = -0.393, p = 0.023) respectively. CONCLUSION: We found a significant positive association between BDNF gene expression and the activation of the DLPFC during the working memory task. This novel observation needs further systematic evaluation to establish the potential role of peripheral BDNF expression in WMD in schizophrenia.