Ketamine versus ECT for Nonpsychotic Treatment-Resistant Major Depression.

BACKGROUND: Electroconvulsive therapy (ECT) and subanesthetic intravenous ketamine are both currently used for treatment-resistant major depression, but the comparative effectiveness of the two treatments remains uncertain. METHODS: We conducted an open-label, randomized, noninferiority trial involving patients referred to ECT clinics for treatment-resistant major depression. Patients with treatment-resistant major depression without psychosis were recruited and assigned in a 1:1 ratio to receive ketamine or ECT. During an initial 3-week treatment phase, patients received either ECT three times per week or ketamine (0.5 mg per kilogram of body weight over 40 minutes) twice per week. The primary outcome was a response to treatment (i.e., a decrease of ≥50% from baseline in the score on the 16-item Quick Inventory of Depressive Symptomatology-Self-Report; scores range from 0 to 27, with higher scores indicating greater depression). The noninferiority margin was -10 percentage points. Secondary outcomes included scores on memory tests and patient-reported quality of life. After the initial treatment phase, the patients who had a response were followed over a 6-month period. RESULTS: A total of 403 patients underwent randomization at five clinical sites; 200 patients were assigned to the ketamine group and 203 to the ECT group. After 38 patients had withdrawn before initiation of the assigned treatment, ketamine was administered to 195 patients and ECT to 170 patients. A total of 55.4% of the patients in the ketamine group and 41.2% of those in the ECT group had a response (difference, 14.2 percentage points; 95% confidence interval, 3.9 to 24.2; P<0.001 for the noninferiority of ketamine to ECT). ECT appeared to be associated with a decrease in memory recall after 3 weeks of treatment (mean [±SE] decrease in the T-score for delayed recall on the Hopkins Verbal Learning Test-Revised, -0.9±1.1 in the ketamine group vs. -9.7±1.2 in the ECT group; scores range from -300 to 200, with higher scores indicating better function) with gradual recovery during follow-up. Improvement in patient-reported quality-of-life was similar in the two trial groups. ECT was associated with musculoskeletal adverse effects, whereas ketamine was associated with dissociation. CONCLUSIONS: Ketamine was noninferior to ECT as therapy for treatment-resistant major depression without psychosis. (Funded by the Patient-Centered Outcomes Research Institute; ELEKT-D ClinicalTrials.gov number, NCT03113968.).

The genetics of severe depression.

Genome-wide association studies (GWASs) of major depressive disorder (MDD) have recently achieved extremely large sample sizes and yielded substantial numbers of genome-wide significant loci. Because of the approach to ascertainment and assessment in many of these studies, some of these loci appear to be associated with dysphoria rather than with MDD, potentially decreasing the clinical relevance of the findings. An alternative approach to MDD GWAS is to focus on the most severe forms of MDD, with the hope that this will enrich for loci of larger effect, rendering their identification plausible, and providing potentially more clinically actionable findings. Here we review the genetics of severe depression by using clinical markers of severity including: age of onset, recurrence, degree of impairment, and treatment with ECT. There is evidence for increased family-based and Single Nucleotide Polymorphism (SNP)-based estimates of heritability in recurrent and early-onset illness as well as severe functional impariment. GWAS have been performed looking at severe forms of MDD and a few genome-wide loci have been identified. Several whole exome sequencing studies have also been performed, identifying associated rare variants. Although these findings have not yet been rigorously replicated, the elevated heritability seen in severe MDD phenotypes suggests the value of pursuing additional genome-wide interrogation of samples from this population. The challenge now is generating a cohort of adequate size with consistent phenotyping that will allow for careful and robust classifications and distinctions to be made. We are currently pursuing such a strategy in our 50-site worldwide Gen-ECT-ics consortium.

Transgender women's perspectives on mental health care related to vaginoplasty for gender affirmation.

PURPOSE: This study aimed to describe patient experiences and attitudes about the role of the mental health professional as it relates to pursuing gender affirmation surgery. METHODS: This was a mixed-models study with semi-structured interviews. Participants who presented for gender affirming vaginoplasty and had completed pre-surgical requirements but had not yet had the procedure were invited to participate in the study. Semi-structured phone interviews were conducted from November 2019 and December 2020 until saturation of themes was achieved at a sample size of 14. Interviews were then transcribed verbatim and coded by theme. Qualitative analysis was performed using a grounded theory approach. RESULTS: Almost half of the patients did not identify any barriers to obtaining mental health care, but a majority brought up concerns for less advantaged peers, with less access to resources. Some patients also felt that there was benefit to be obtained from the mental health care required before going through with surgery, while others felt the requirements were discriminatory. Finally, a large proportion of our participants reported concerns with the role of mental health care and the requirements set forth by the World Professional Association for Transgender Health (WPATH), and patients gave suggestions for future improvements including decreasing barriers to care while rethinking how guidelines impact patients. CONCLUSION: There are many competing goals to balance when it comes to the guidelines for gender affirmation surgery, and patients had differing and complex relationships with mental health care and the pre-surgical process.

Effects of Repeated Intravenous Ketamine in Treatment-Resistant Geriatric Depression: A Case Series.

PURPOSE: There is an immediate need for more sustainable, effective therapies for treatment-resistant depression in patients who do not respond to traditional psychopharmacology. The aim of this study was to determine the efficacy and safety of intravenous ketamine infusions on the elderly population by using a case series of 6 geriatric patients with treatment-resistant depression. METHODS: Eligible patients aged 65 to 82 were given a subanesthetic ketamine hydrochloride dose of 0.5 mg/kg delivered intravenously over 40 minutes twice weekly for an acute series. If patients reported a 50% decrease in depression symptoms after the acute series of 2 to 4 infusions, they would be moved to a maintenance series of infusions, which would occur every 2 to 6 weeks on an individual basis. RESULTS: Of the 6 patients given ketamine, 1 failed to respond to the acute treatment phase, 4 responded to the acute infusion phase but failed to sustain a response after a range of 8 to 22 maintenance infusions, and 1 responded to the infusions but relapsed into alcohol use; therefore, treatment was discontinued. CONCLUSIONS: The relative safety of intravenous ketamine in the elderly was demonstrated by the mild, transient adverse effects seen by this patient group. The geriatric population is unable to maintain an antidepressant response to intravenous ketamine over time, signifying that ketamine has low efficacy for the elderly.

Quetiapine Extended Release Open-Label Treatment Associated Changes in Amygdala Activation and Connectivity in Anxious Depression: An fMRI Study.

BACKGROUND: This study investigated extended release quetiapine (quetiapine XR) associated changes in functional MRI (fMRI) measures of task-induced amygdalar activation and resting state connectivity in anxious unipolar major depressive disorder (AMDD). METHODS: Anxious unipolar major depressive disorder patients (n = 15) (17-item Hamilton Depression Rating Scale (HAM-D) >18 and Hamilton Anxiety Scale (HAM-A) >18) and closely matched healthy control (HC) subjects were compared at baseline for task induced amygdala activation and resting state connectivity on fMRI. Subsequently, AMDD patients were treated for 8 weeks with open-label quetiapine XR. Weekly HAM-D and HAM-A ratings were obtained, and the fMRI scan was repeated at weeks 2 and 8. Changes in fMRI measures were calculated using repeated-measures analysis of variance and correlation with decrease in HAM-D and HAM-A scores was examined. RESULTS: At baseline, AMDD compared with HC exhibited increased task-induced left amygdalar activation (P = 0.05 clusterwise corrected) and decreased resting state amygdala-cortical and amygdala-pons connectivity (P < 0.05 clusterwise corrected). Quetiapine XR treatment was associated with significant decrease in HAM-D (df = 1,28; female [F] = 39; P = 0.001) and HAM-A scores (df = 1,28; F = 55; P = 0.001). The AMDD group showed increased amygdala-cortical connectivity (P < 0.05 [clusterwise corrected]) at week 2, which was maintained at week 8. At week 8, additional areas showed increased connectivity including insula and putamen. At 8 weeks, decrease in HAM-D scores correlated with increase in amygdala-mid cingulate and amygdala-cuneus connectivity (P = 0.05 [clusterwise corrected]). Decrease in HAM-A scores correlated with increase in amygdala-cuneus and parietal cortex connectivity (P = 0.05 [clusterwise corrected]). LIMITATIONS: Small sample-size, open-label single-arm design, HC only tested at baseline, focused only on amygdala. CONCLUSIONS: Quetiapine XR effects in the treatment of AMDD are associated with modulation of amygdala connectivity.

A comprehensive review of the use of deep brain stimulation (DBS) in treatment of psychiatric and headache disorders.

BACKGROUND: Neurostimulation as a treatment option for refractory neuropsychiatric disorders has been increasingly utilized in recent years. For patients with such refractory disorders who have often failed to respond to various medical interventions, deep brain stimulation (DBS) has emerged as a promising treatment modality. DBS is a reversible and adjustable form of brain stimulation (also known as functional neurosurgery) in which desired brain structures (or circuits) are given focal electric stimulation via electrodes that are implanted in the brain tissue during a surgical procedure. It has been utilized among various psychiatric and neurological illnesses, in particular headache disorders. This article reviews the most relevant data regarding DBS for psychiatric and primary headache disorders. METHODS: Authors conducted a detailed literature search of Medline/PubMed database and studies that used DBS for the treatment of refractory neuropsychiatric disorders were reviewed. Response, remission, and safety measures of these studies were obtained. RESULTS: Despite the advancement in DBS treatment, the number of randomized controlled studies remains very limited due to ethical and methodological difficulties of setting up invasive procedures of this magnitude. So at present, DBS represents a modality used only in the most refractory patients. CONCLUSION: Current data support DBS as a promising treatment option for neuropsychiatric disorders that do not respond to conventional treatments; however, it is clear that more research and patient volume is needed to demonstrate its efficacy in treating these conditions. The use of functional imaging to understand the pathophysiology of these disorders has been crucial for the utilization of DBS.

Ketamine vs Electroconvulsive Therapy for Treatment-Resistant Depression: A Secondary Analysis of a Randomized Clinical Trial.

Importance: The ELEKT-D: Electroconvulsive Therapy (ECT) vs Ketamine in Patients With Treatment Resistant Depression (TRD) (ELEKT-D) trial demonstrated noninferiority of intravenous ketamine vs ECT for nonpsychotic TRD. Clinical features that can guide selection of ketamine vs ECT may inform shared decision-making for patients with TRD. Objective: To evaluate whether selected clinical features were associated with differential improvement with ketamine vs ECT. Design, Setting, and Participants: This secondary analysis of an open-label noninferiority randomized clinical trial was a multicenter study conducted at 5 US academic medical centers from April 7, 2017, to November 11, 2022. Analyses for this study, which were not prespecified in the trial protocol, were conducted from May 10 to Oct 31, 2023. The study cohort included patients with TRD, aged 21 to 75 years, who were in a current nonpsychotic depressive episode of at least moderate severity and were referred for ECT by their clinicians. Exposures: Eligible participants were randomized 1:1 to receive either 6 infusions of ketamine or 9 treatments with ECT over 3 weeks. Main Outcomes and Measures: Association between baseline factors (including 16-item Quick Inventory of Depressive Symptomatology Self-Report [QIDS-SR16], Montgomery-Asberg Depression Rating Scale [MADRS], premorbid intelligence, cognitive function, history of attempted suicide, and inpatient vs outpatient status) and treatment response were assessed with repeated measures mixed-effects model analyses. Results: Among the 365 participants included in this study (mean [SD] age, 46.0 [14.5] years; 191 [52.3%] female), 195 were randomized to the ketamine group and 170 to the ECT group. In repeated measures mixed-effects models using depression levels over 3 weeks and after false discovery rate adjustment, participants with a baseline QIDS-SR16 score of 20 or less (-7.7 vs -5.6 points) and those starting treatment as outpatients (-8.4 vs -6.2 points) reported greater reduction in the QIDS-SR16 with ketamine vs ECT. Conversely, those with a baseline QIDS-SR16 score of more than 20 (ie, very severe depression) and starting treatment as inpatients reported greater reduction in the QIDS-SR16 earlier in course of treatment (-8.4 vs -6.7 points) with ECT, but scores were similar in both groups at the end-of-treatment visit (-9.0 vs -9.9 points). In the ECT group only, participants with higher scores on measures of premorbid intelligence (-14.0 vs -11.2 points) and with a comorbid posttraumatic stress disorder diagnosis (-16.6 vs -12.0 points) reported greater reduction in the MADRS score. Those with impaired memory recall had greater reduction in MADRS during the second week of treatment (-13.4 vs -9.6 points), but the levels of MADRS were similar to those with unimpaired recall at the end-of-treatment visit (-14.3 vs -12.2 points). Other results were not significant after false discovery rate adjustment. Conclusions and Relevance: In this secondary analysis of the ELEKT-D randomized clinical trial of ECT vs ketamine, greater improvement in depression was observed with intravenous ketamine among outpatients with nonpsychotic TRD who had moderately severe or severe depression, suggesting that these patients may consider ketamine over ECT for TRD.

Where in the brain is depression?

Major depressive disorder is a serious medical illness which is responsible for considerable morbidity and disability. Despite decades of research, the neural basis for depression is still incompletely understood. In this review, evidence from neuroimaging, neuropsychiatric and brain stimulations studies are explored to answer the question regarding the localization of depression in the brain. Neuroimaging studies indicate that although many regions of the brain have been repeatedly implicated in the pathophysiology of depression, not many consistent findings have been found until present. In recent times, the focus of neuroimaging has shifted from regional brain abnormalities to circuit level connectivity abnormalities. However, connectivity models are inherently more complicated, and the validity of these models remains to be tested. Neuropsychiatric studies of illnesses such as Parkinson's disease and stroke provide promising clues regarding areas involved in depression, but again consistent findings are rare. Similarly, stimulation of a variety of brain regions and circuits has been reported as being effective in depression. Therefore, the current knowledge indicates that the pathophysiology of depression may be distributed across many brain regions and circuits. In future studies, this distributed nature of depression needs to be further investigated, primary and secondary areas affected need to be identified, and new paradigms to explain complex mental functions need to be explored.

Resting-state functional connectivity graph-properties correlate with bipolar disorder-risk in young medication-free depressed subjects: Bipolar-risk Resting State Functional Connectivity in Major Depression.

BACKGROUND: Major Depressive Disorder (MDD) is frequently associated with risk factors for the development of Bipolar Disorder (BD). Using graph theory, we investigated brain network properties associated with BD risk factors in young MDD subjects. METHODS: Resting-state fMRI was acquired from a large cohort (N= 104) of medication-free currently depressed participants (25 BD depression (BDD), 79 MDD). Lifetime mania symptom count (LMSC), current Young Mania Rating Scale (YMRS) score, and family history of mood disorders (FHMD) were examined as BD risk factors. Functional connectivity matrices from 280 regions of interests (ROIs) were first entered into the Network Based Statistic (NBS) toolbox to identify connections that varied with each risk factor. Next, within the correlated network for each risk factor, global and nodal graph properties for the top five linked nodes were calculated. Last, using identified graph properties, machine learning classification (MLC) between BDD, MDD with BD risk factors (MDD+), and without BD risk factors (MDD-) was conducted. RESULTS: LMSC positively correlated with left lateral orbitofrontal cortex (LOFC) Communication Efficiency and with left middle temporal Eigenvector Centrality. Current YMRS score positively correlated with right amygdala Communication Efficiency and Closeness Centrality. FHMD positively correlated with right insula Eigenvector Centrality. Acceptable MLC accuracy was seen between BDD and MDD- using middle temporal Eigenvector Centrality, whereas moderate accuracy was seen between MDD+ and MDD- using OFC Communication Efficiency. LIMITATION: Although participants were medication-free, they were not medication-naïve. CONCLUSION: Functional connectome graph properties may serve as BD vulnerability biomarkers in young individuals with MDD.

Differences in network properties of the structural connectome in bipolar and unipolar depression.

BACKGROUND: Differentiation between Bipolar Disorder Depression (BDD) and Unipolar Major Depressive Disorder (MDD) is critical to clinical practice. This study investigated machine learning classification of BDD and MDD using graph properties of Diffusion-weighted Imaging (DWI)-based structural connectome. METHODS: This study included a large number of medication-free (N =229) subjects: 60 BDD, 95 MDD, and 74 Healthy Control (HC) subjects. DWI probabilistic tractography was performed to create Fractional Anisotropy (FA) and Total Streamline (TS)-based structural connectivity matrices. Global and nodal graph properties were computed from these matrices and tested for group differences. Next, using identified graph properties, machine learning classification (MLC) between BDD, MDD, MDD with risk factors for developing BD (MDD+), and MDD without risk factors for developing BD (MDD-) was conducted. RESULTS: Communicability Efficiency of the left superior frontal gyrus (SFG) was significantly higher in BDD vs. MDD. In particular, Communicability Efficiency using TS-based connectivity in the left SFG as well as FA-based connectivity in the right middle anterior cingulate area was higher in the BDD vs. MDD- group. There were no significant differences in graph properties between BDD and MDD+. Direct comparison between MDD+ and MDD- showed differences in Eigenvector Centrality (TS-based connectivity) of the left middle frontal sulcus. Acceptable Area Under Curve (AUC) for classification were seen between the BDD and MDD- groups, and between the MDD+ and MDD- groups, using the differing graph properties. CONCLUSION: Graph properties of DWI-based connectivity can discriminate between BDD and MDD subjects without risk factors for BD.

A learning-based wrapper method to correct systematic errors in automatic image segmentation: consistently improved performance in hippocampus, cortex and brain segmentation.

We propose a simple but generally applicable approach to improving the accuracy of automatic image segmentation algorithms relative to manual segmentations. The approach is based on the hypothesis that a large fraction of the errors produced by automatic segmentation are systematic, i.e., occur consistently from subject to subject, and serves as a wrapper method around a given host segmentation method. The wrapper method attempts to learn the intensity, spatial and contextual patterns associated with systematic segmentation errors produced by the host method on training data for which manual segmentations are available. The method then attempts to correct such errors in segmentations produced by the host method on new images. One practical use of the proposed wrapper method is to adapt existing segmentation tools, without explicit modification, to imaging data and segmentation protocols that are different from those on which the tools were trained and tuned. An open-source implementation of the proposed wrapper method is provided, and can be applied to a wide range of image segmentation problems. The wrapper method is evaluated with four host brain MRI segmentation methods: hippocampus segmentation using FreeSurfer (Fischl et al., 2002); hippocampus segmentation using multi-atlas label fusion (Artaechevarria et al., 2009); brain extraction using BET (Smith, 2002); and brain tissue segmentation using FAST (Zhang et al., 2001). The wrapper method generates 72%, 14%, 29% and 21% fewer erroneously segmented voxels than the respective host segmentation methods. In the hippocampus segmentation experiment with multi-atlas label fusion as the host method, the average Dice overlap between reference segmentations and segmentations produced by the wrapper method is 0.908 for normal controls and 0.893 for patients with mild cognitive impairment. Average Dice overlaps of 0.964, 0.905 and 0.951 are obtained for brain extraction, white matter segmentation and gray matter segmentation, respectively.

Left Dorsolateral Prefrontal Cortex Glx/tCr Predicts Efficacy of High Frequency 4- to 6-Week rTMS Treatment and Is Associated With Symptom Improvement in Adults With Major Depressive Disorder: Findings From a Pilot Study.

About 20-40% of estimated 121 million patients with major depressive disorder (MDD) are not adequately responsive to medication treatment. Repetitive transcranial magnetic stimulation (rTMS), a non-invasive, non-convulsive neuromodulation/neurostimulation method, has gained popularity in treatment of MDD. Because of the high cost involved in rTMS therapy, ability to predict the therapy effectiveness is both clinically and cost wise significant. This study seeks an imaging biomarker to predict efficacy of rTMS treatment using a standard high frequency 10-Hz 4- to 6-week protocol in adult population. Given the significance of excitatory and inhibitory neurotransmitters glutamate (Glu) and gamma aminobutyric acid (GABA) in the pathophysiology of MDD, and the involvement of the site of rTMS application, left dorsolateral prefrontal cortex (lDLPFC), in MDD, we explored lDLPFC Glx (Glu + glutamine) and GABA levels, measured by single voxel magnetic resonance spectroscopy (MRS) with total creatine (tCr; sum of creatine and phosphocreatine) as reference, as possible biomarkers of rTMS response prediction. Mescher-Garwood point-resolved spectroscopy (MEGA-PRESS) MRS data from 7 patients (40-74 y) were used in the study; 6 of these patients were scanned before and after 6 weeks of rTMS therapy. Findings from this study show inverse correlation between pretreatment lDLPFC Glx/tCr and (i) posttreatment depression score and (ii) change in depression score, suggesting higher Glx/tCr as a predictor of treatment efficacy. In addition association was observed between changes in depression scores and changes in Glx/tCr ratio. The preliminary findings did not show any such association between GABA/tCr and depression score.

Neuroimaging correlates of emotional response-inhibition discriminate between young depressed adults with and without sub-threshold bipolar symptoms (Emotional Response-inhibition in Young Depressed Adults).

BACKGROUND: Many subjects with major depression (MDD) exhibit subthreshold mania symptoms (MDD+). This study investigated, for the first time, using emotional inhibition tasks, whether the neural organization of MDD+ subjects is more similar to bipolar depression (BDD) or to MDD subjects without subthreshold bipolar symptoms (MDD-). METHOD: This study included 118 medication-free young adults (15 - 30 yrs.): 20 BDD, 28 MDD+, 41 MDD- and 29 HC subjects. Participants underwent fMRI during emotional and non-emotional Go/No-go tasks during which they responded for Go stimuli and inhibited response for happy, fear, and non-emotional (gender) faces No-go stimuli. Univariate linear mixed-effects (LME) analysis for group effects and multivariate Gaussian Process Classifier (GPC) analyses were conducted. RESULTS: MDD- group compared to both the BDD and MDD+ groups, exhibited significantly lower activation in parietal, temporal and frontal regions (cluster-wise corrected p <0.05) for emotional inhibition conditions vs. non-emotional condition. GPC classification of emotional (happy + fear) vs. non-emotional response-inhibition activation pattern showed good discrimination between BDD and MDD- subjects (AUC: 0.70; balanced accuracy: 70% (corrected p = 0.018)) as well as between MDD+ and MDD- subjects (AUC: 0.72; balanced accuracy: 67% (corrected p = 0.045)) but less efficient discrimination between BDD and MDD+ groups (AUC: 0.68; balanced accuracy: 61% (corrected p = 0.273)). Notably, classification of the MDD- group was weighted for left amygdala activation pattern. LIMITATIONS: Results also need to be tested in a different independent dataset. CONCLUSION: Using an fMRI emotional Go-Nogo task, MDD- subjects can be discriminated from BDD and MDD+ subjects.

Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: an illustration in ADNI 3 T MRI data.

Measurement of brain change due to neurodegenerative disease and treatment is one of the fundamental tasks of neuroimaging. Deformation-based morphometry (DBM) has been long recognized as an effective and sensitive tool for estimating the change in the volume of brain regions over time. This paper demonstrates that a straightforward application of DBM to estimate the change in the volume of the hippocampus can result in substantial bias, i.e., an overestimation of the rate of change in hippocampal volume. In ADNI data, this bias is manifested as a non-zero intercept of the regression line fitted to the 6 and 12 month rates of hippocampal atrophy. The bias is further confirmed by applying DBM to repeat scans of subjects acquired on the same day. This bias appears to be the result of asymmetry in the interpolation of baseline and followup images during longitudinal image registration. Correcting this asymmetry leads to bias-free atrophy estimation.

A case of delayed onset of threatened premature labor in association with electroconvulsive therapy in the third trimester of pregnancy.

Electroconvulsive therapy (ECT) is recommended by the American Psychiatric Association Task Force on ECT as a safe and effective treatment of depression throughout pregnancy. We report here administration of ECT in the third trimester of pregnancy in a 33-year-old patient with severe bipolar depression. The patient had a good antidepressant response to ECT. She experienced, however, delayed onset premature uterine contractions at home after her sixth session of ECT (10 hours post-ECT administration). After receiving tocolytics, the patient's contractions did not progress to premature labor. In consultation with the obstetrics team, it was decided to terminate the ECT course earlier than planned. The patient is delivered of a healthy female newborn infant spontaneously at 37 weeks' gestational age. Four months after delivery, the baby's development is progressing normally. This case illustrates that premature contractions in association with ECT during the third trimester of pregnancy may be delayed in onset. Patients and treatment team need to be aware of this possibility, particularly when ECT is conducted on an outpatient basis.

Neuroimaging gender dysphoria: a novel psychobiological model.

Gender identity development is complex and involves several key processes. Transgender people experience incongruence between their biological and identified gender. This incongruence can cause significant impairment in overall functioning and lead to gender dysphoria (GD). The pathophysiology of GD is complex and is poorly understood. A PubMed search based on predetermined eligibility criteria was conducted to review neuropsychiatric articles focused on neurological, biological and neuroimaging aspects of gender development, transgender identity and GD. The information obtained from the literature was then used to formulize a GD model. Distinct gray matter volume and brain activation and connectivity differences were found in individuals with GD compared to controls, suggesting a neurobiological basis of GD; which leads to the concept of brain gender. Individuals with GD encounter a recurrent conflict between their brain gender and the societal feedback; which causes recurrent and ongoing cognitive dissonance, finally leading to GD and functional connectivity and activation changes in the transgender brain. GD has neurobiological basis, but it is closely associated with the individuals' interaction with the external world, their self-perception and the feedback received in return. We propose a novel model where the development of GD includes cognitive dissonance, involving anterior cingulate cortex and ventral striatum as the key brain structures. This model can be used to generate testable hypotheses using behavioral and neuroimaging techniques to understand the neuropsychobiology of GD.

The NEO-FFI domain of openness to experience moderates ketamine response in treatment resistant depression.

BACKGROUND: There are many putative mechanisms by which ketamine has its effect and many unanswered questions about risks and benefits of long-term ketamine therapy. A research imperative is the identification of predictors of response to intravenous ketamine, especially a sustained response to maintenance ketamine. Temperament is an inherited aspect of personality and is a predictive factor for outcome in treatment resistant depressed (TRD) patients. METHODS: We analyzed which domains of personality impacted initial and sustained ketamine response. Utilizing the Neuroticism Extraversion Openness Five Factor Inventory (NEO-FFI) on 125 participants with TRD, we tested (1) whether the degree of neuroticism predicted initial and/or sustained response to ketamine; and (2) whether extraversion, agreeableness, openness to experience, and conscientiousness had an impact on response. RESULTS: Our findings confirmed previous literature that elevated neuroticism, low conscientiousness, and low extraversion was the pattern of our TRD population regardless of response. Openness was the only factor to significantly predict sustained treatment outcome. LIMITATIONS: Our findings are limited by the lack of placebo control, small sample size, non- standardized infusion intervals, polypharmacy rather than ketamine monotherapy, a select TRD population in that they had all failed ECT, and a primarily Caucasian population. CONCLUSIONS: Our registry adds to the literature that factors making up temperament may have predictive value in regard to treatment response, specifically the outcome for TRD patients receiving long-term ketamine infusion therapy. If confirmed, assessing for Openness could reduce inappropriate exposure to ketamine with its attendant unknown long-term risks.

Administration of Sub-anesthetic Dose of Ketamine and Electroconvulsive Treatment on Alternate Week Days in Patients with Treatment Resistant Depression: A Double Blind Placebo Controlled Trial.

Introduction and Background: Patients with depression who fail to respond to at least two antidepressants in their current episode are considered to have Treatment Resistant Depression (TRD). ECT is an effective treatment of TRD but cognitive side effects limit its use. Ketamine elicits a rapid antidepressant response in sub-anesthetic repeated doses. ECT and ketamine may be modulating the glutamate system, therefore when administered in an interleaved fashion, they could have a synergistic effect. Methods: 15 TRD patients were recruited and 12 were included in the analysis. Patients were randomly assigned to an ECT + iv. ketamine or ECT + iv. placebo (midazolam). At baseline and before each infusion, depression severity scales were administered. At baseline, halfway through and at the end of the study, cognitive tests were administered. Results: There was no difference between the ketamine and placebo arms, per change in 17-item Hamilton Depression Scores (HAM-D), Young Mania Rating Scores or cognitive tests. Per HAMD scores, 3 ECT +ketamine subjects (42%) showed early remission (HAMD < 8) and maintained euthymia for 3 additional visits. None of the ECT +midazolam subjects (0%) achieved early remission. This difference showed a trend level significance (Chi square P-Value = 0.0910). Conclusion: The results of the study were limited due to the small sample size. However, a trend level difference in rates of early remission was seen, suggesting that ketamine + ECT may lead to a faster symptom relief. A larger sample size is needed for statistical confirmation.

The Role of the Ethicist in an Interdisciplinary Transgender Health Care Team.

Unique ethical issues arise in the provision of gender-affirming care to transgender and gender diverse people. One of the distinctive trends in transgender health care has been the development of interdisciplinary specialty teams with expertise in gender-affirming care. Clinical ethicists can play an important role on these teams in helping gender variant patients and gender-affirming providers navigate complex ethical issues, creating opportunities for enhancing patient experience, and easing provider moral uncertainty. Many opportunities exist for clinical ethicists to lend their skills to this area of clinical care. It is important for interdisciplinary transgender health care teams and other health care professionals providing transgender-specific care to understand the ethical issues involved in such care, the ways in which ethics expertise can be a resource, and the benefits and drawbacks of integrating a clinical ethicist into their team.

Mental Health Diagnoses Among Transgender Patients in the Clinical Setting: An All-Payer Electronic Health Record Study.

We performed a cross-sectional analysis of the prevalence of psychiatric diagnoses among transgender patients in clinical care using an all-payer electronic health record database. Of 10,270 transgender patients identified, 58% (n=5940) had at least one psychiatric diagnosis compared with 13.6% (n=7,311,780) in the control patient population (p<0.0005). Transgender patients had a statistically significant increase in prevalence for all psychiatric diagnoses queried, with major depressive disorder and generalized anxiety disorder being the most common diagnoses (31% and 12%, respectively). Utilizing an all-payer database, although not without limitations, enables assessment of mental health and substance use diagnoses in this otherwise small population.