Deep brain stimulation of the nucleus accumbens in the treatment of severe alcohol use disorder: a phase I pilot trial.

Alcohol use disorder (AUD) is a highly prevalent, often refractory, medical illness. The symptoms of AUD are driven by dysfunction in several neurocircuits centered on the nucleus accumbens (NAc). Case reports and animal studies suggest NAc-DBS may be an effective harm-reduction treatment in severe AUD. Six patients with severe, refractory AUD underwent NAc-DBS. Safety metrics and clinical outcomes were recorded. Positron emission tomography (FDG-PET) was used to measure glucose metabolism in the NAc at baseline and 6 months. Functional magnetic resonance imaging (fMRI) was used to characterize postoperative changes in NAc functional connectivity to the rest of the brain, as well as NAc and dorsal striatal reactivity to alcoholic visual cues. This study was registered with ClinicalTrials.gov, NCT03660124. All patients experienced a reduction in craving. There was a significant reduction in alcohol consumption, alcohol-related compulsivity, and anxiety at 12 months. There was no significant change in depression. FDG-PET analysis demonstrated reduced NAc metabolism by 6 months, which correlated with improvements in compulsive drinking behaviors. Clinical improvement correlated with reduced functional connectivity between the NAc and the visual association cortex. Active DBS was associated with reduced activation of the dorsal striatum during passive viewing of alcohol-containing pictures. NAc-DBS is feasible and safe in patients with severe, otherwise refractory AUD. It is associated with a reduction in cravings and addictive behavior. A potential mechanism underlying this process is a down-regulation of the NAc, a disruption of its functional connectivity to the visual association cortex, and interference of cue-elicited dorsal striatum reactivity. Trial Registration NCT03660124 ( www.clinicaltrials.gov ).

Magnetic resonance-guided focused ultrasound capsulotomy for refractory obsessive compulsive disorder and major depressive disorder: clinical and imaging results from two phase I trials.

Obsessive compulsive disorder (OCD) and major depressive disorder (MDD) are common, often refractory, neuropsychiatric conditions for which new treatment approaches are urgently needed. Magnetic resonance-guided focused ultrasound (MRgFUS) is a novel surgical technique permitting incisionless ablative neurosurgery. We examined the safety profile, clinical response, and imaging correlates of MRgFUS bilateral anterior capsulotomy in patients with refractory obsessive compulsive disorder (OCD, N = 6) and major depressive disorder (MDD, n = 6). There were no serious adverse events. Nonserious adverse events included headaches and pin-site swelling in 7/12 patients. The response rate was 4/6 and 2/6 in the OCD and MDD cohorts respectively. To delineate the white-matter tracts impacted by capsulotomy, a normative diffusion MRI-based structural connectome was used, revealing tracts terminating primarily in the frontal pole, medial thalamus, striatum, and medial-temporal lobe. Positron emission tomography (PET) analysis (nine subjects) revealed widespread decreases in metabolism bilaterally in the cerebral hemispheres at 6 months post treatment, as well as in the right hippocampus, amygdala, and putamen. A pretreatment seed-to-voxel resting-state functional magnetic resonance imaging (rs-fMRI) analysis (12 subjects) revealed three voxel clusters significantly associated with eventual clinical response. MRgFUS capsulotomy appears to be safe, well tolerated, and according to these initial results, may be an important treatment option for patients with refractory OCD and MDD. MRgFUS capsulotomy results in both targeted and widespread changes in neural activity, and neuroimaging may hold potential for the prediction of outcome.

Sex differences in rates of obesity in bipolar disorder: postulated mechanisms.

OBJECTIVE: The increased standardized mortality ratio (SMR) from cardiovascular disease (CVD) in women with bipolar disorder (BD), relative to men with BD and individuals of both sexes in the general population, provides the impetus to identify factors that contribute to the differential association of obesity with BD in women. METHODS: We conducted a selective PubMed search of English-language articles published from September 1990 to June 2012. The key search terms were bipolar disorder and metabolic syndrome cross-referenced with gender, sex, obesity, diabetes mellitus, hypertension, and dyslipidemia. The search was supplemented with a manual review of relevant article reference lists. Articles selected for review were based on author consensus, the use of a standardized experimental procedure, validated assessment measures, and overall manuscript quality. RESULTS: It is amply documented that adults with BD are affected by the metabolic syndrome at a rate higher than the general population. Women with BD, when compared to men with BD and individuals of both sexes in the general population, have higher rates of abdominal obesity. The course and clinical presentation of BD manifest differently in men and women, wherein women exhibit a higher frequency of depression predominant illness, a later onset of BD, more seasonal variations in mood disturbance, and increased susceptibility to relapse. Phenomenological factors can be expanded to include differences in patterns of comorbidity between the sexes among patients with BD. Other factors that contribute to the increased risk for abdominal obesity in female individuals with BD include reproductive life events, anamnestic (e.g., sexual and/or physical abuse), lifestyle, and iatrogenic. CONCLUSIONS: A confluence of factors broadly categorized as broad- and sex-based subserve the increased rate of obesity in women with BD. It remains a testable hypothesis that the increased abdominal obesity in women with BD mediates the increased SMR from CVD. A clinical recommendation that emerges from this review is amplified attention to the appearance, or history, of factors that conspire to increase obesity in female patients with BD.

Advancing biomarker research: utilizing 'Big Data' approaches for the characterization and prevention of bipolar disorder.

OBJECTIVE: To provide a strategic framework for the prevention of bipolar disorder (BD) that incorporates a 'Big Data' approach to risk assessment for BD. METHODS: Computerized databases (e.g., Pubmed, PsychInfo, and MedlinePlus) were used to access English-language articles published between 1966 and 2012 with the search terms bipolar disorder, prodrome, 'Big Data', and biomarkers cross-referenced with genomics/genetics, transcriptomics, proteomics, metabolomics, inflammation, oxidative stress, neurotrophic factors, cytokines, cognition, neurocognition, and neuroimaging. Papers were selected from the initial search if the primary outcome(s) of interest was (were) categorized in any of the following domains: (i) 'omics' (e.g., genomics), (ii) molecular, (iii) neuroimaging, and (iv) neurocognitive. RESULTS: The current strategic approach to identifying individuals at risk for BD, with an emphasis on phenotypic information and family history, has insufficient predictive validity and is clinically inadequate. The heterogeneous clinical presentation of BD, as well as its pathoetiological complexity, suggests that it is unlikely that a single biomarker (or an exclusive biomarker approach) will sufficiently augment currently inadequate phenotypic-centric prediction models. We propose a 'Big Data'- bioinformatics approach that integrates vast and complex phenotypic, anamnestic, behavioral, family, and personal 'omics' profiling. Bioinformatic processing approaches, utilizing cloud- and grid-enabled computing, are now capable of analyzing data on the order of tera-, peta-, and exabytes, providing hitherto unheard of opportunities to fundamentally revolutionize how psychiatric disorders are predicted, prevented, and treated. High-throughput networks dedicated to research on, and the treatment of, BD, integrating both adult and younger populations, will be essential to sufficiently enroll adequate samples of individuals across the neurodevelopmental trajectory in studies to enable the characterization and prevention of this heterogeneous disorder. CONCLUSIONS: Advances in bioinformatics using a 'Big Data' approach provide an opportunity for novel insights regarding the pathoetiology of BD. The coordinated integration of research centers, inclusive of mixed-age populations, is a promising strategic direction for advancing this line of neuropsychiatric research.

Cognitive deficits and functional outcomes in major depressive disorder: determinants, substrates, and treatment interventions.

BACKGROUND: Few reports have aimed to describe the mediational effect of cognitive deficits on functional outcomes in major depressive disorder (MDD), and relatively few interventions are demonstrated to mitigate cognitive deficits in MDD. METHODS: Studies enrolling subjects between the ages of 18-65 were selected for review. Bibliographies from identified articles were reviewed to identify additional original reports aligned with our objectives. RESULTS: Cognitive deficits in MDD are consistent, replicable, nonspecific, and clinically significant. The aggregated estimated effect size of cognitive deficits in MDD is small to medium. Pronounced deficits in executive function (≥1 SD below the normative mean) are evident in ∼20-30% of individuals with MDD). Other replicated abnormalities are in the domains of working memory, attention, and psychomotor processing speed. Mediational studies indicate that cognitive deficits may account for the largest percentage of variance with respect to the link between psychosocial dysfunction (notably workforce performance) and MDD. No conventional antidepressant has been sufficiently studied and/or demonstrated robust procognitive effects in MDD. CONCLUSIONS: Cognitive deficits in MDD are a principal mediator of psychosocial impairment, notably workforce performance. The hazards posed by cognitive deficits in MDD underscore the need to identify a consensus-based neurocognitive battery for research and clinical purposes. Interventions (pharmacological, behavioral, neuromodulatory) that engage multiple physiological systems implicated in cognitive deficits hold promise to reduce, reverse, and prevent cognitive deficits.

Examining cognitive change in magnetic resonance-guided focused ultrasound capsulotomy for psychiatric illness.

Magnetic resonance-guided focused ultrasound (MRgFUS) anterior capsulotomy is a novel treatment option for patients with refractory obsessive compulsive disorder (OCD) or major depressive disorder (MDD). However, there is concern that lesional psychiatric surgery procedures may have adverse effects on cognition. In this study, we examined whether MRgFUS capsulotomy causes cognitive decline in patients with psychiatric illness. Ten patients with refractory OCD (n = 5) or MDD (n = 5) underwent MRgFUS capsulotomy. Cognitive functioning was measured at baseline as well as 6 months and 12 months postoperatively, with a battery of neuropsychological tests assessing domains of executive function, memory, and processing speed. Scores were analyzed at the individual-level, and changes ≥2 standard deviations were considered clinically significant. We also examined whether changes in clinical symptoms were associated with changes in cognitive performance. At baseline intellectual functioning was in the average to high-average range for the group. Following MRgFUS capsulotomy, there were no deteriorations in cognition that reached ≥2 standard deviations at 6 or 12 months. Eight out of ten patients demonstrated a ≥2 standard deviation improvement in at least one cognitive score at 6 or 12 months postoperatively. Improvements in clinical symptoms correlated significantly with self-reported improvements in frontal lobe function (p < 0.05), but not with objective measures of cognitive functioning. To summarize, MRgFUS capsulotomy did not result in cognitive decline in this cohort of patients with refractory OCD or MDD, suggesting that this procedure can be offered to patients with a very low risk of cognitive side effects.

The comparative effectiveness of electroencephalographic indices in predicting response to escitalopram therapy in depression: A pilot study.

BACKGROUND: This study aims to compare the effectiveness of EEG frequency band activity including interhemispheric asymmetry and prefrontal theta cordance in predicting response to escitalopram therapy at 8-weeks post-treatment, in a multi-site initiative. METHODS: Resting state 64-channel EEG data were recorded from 44 patients with a diagnosis of major depressive disorder (MDD) as part of a larger, multisite discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). Clinical response was measured at 8-weeks post-treatment as change from baseline Montgomery-Asberg Depression Rating Scale (MADRS) score of 50% or more. EEG measures were analyzed at (1) pre-treatment baseline (2) 2 weeks post-treatment and (3) as an ''early change" variable defined as change in EEG from baseline to 2 weeks post-treatment. RESULTS: At baseline, treatment responders showed elevated absolute alpha power in the left hemisphere while non-responders showed the opposite. Responders further exhibited a cortical asymmetry in the parietal region. Groups also differed in pre-treatment relative delta power with responders showing greater power in the right hemisphere over the left while non-responders showed the opposite. At 2 weeks post-treatment, responders exhibited greater absolute beta power in the left hemisphere relative to the right and the opposite was noted for non-responders. A reverse pattern was noted for absolute and relative delta power at 2 weeks post-treatment. Responders exhibited early reductions in relative alpha power and early increments in relative theta power. Non-responders showed a significant early increase in prefrontal theta cordance. CONCLUSIONS: Hemispheric asymmetries in the alpha and delta bands at baseline and at 2 weeks post-treatment have moderately strong predictive utility in predicting response to antidepressant treatment.

Are major depressive disorder and diabetes mellitus amyloidogenic conditions?

Major depressive disorder (MDD) and diabetes mellitus (DM) have reciprocal relationship and share common pathophysiological mechanisms in the central nervous system. Depression and diabetes negatively affect cognitive function and are independent risk factors for mild cognitive impairment and Alzheimer?s disease (AD). It has been hypothesized that alterations in the production and processing of amyloid beta (Aß) may be the principal pathological process in AD. Furthermore, it has been increasingly demonstrated that a long preclinical course precedes AD. A derivative of this observation is the hypothesis that a convergent pathophysiological substrate subserving MDD and DM may promote beta amyloid (Aß) deposition. The present paper will review evidence linking MDD and DM to Aß accumulation, with a particular emphasis on original reports that report on levels of Aß40, Aß42 and the Aß40/42 ratio in plasma, serum, or cerebrospinal fluid of individuals with MDD and DM. The overarching goal herein is to press the point that MDD and DM are amyloidogenic and consequently represent modifiable risk factors for AD in later life. The prognostic intervention and prevention opportunity suggested by this notion is that: 1) increased rates of mood disorders and DM in an aging population will increase the population attributable risk for AD ascribed to these conditions, 2) improved outcomes in mood disorders and DM by effective "treating to target" may exert a salutary influence on underlying dementia promoting processes, 3) novel and repurposed medications that are capable of normalizing pathophysiological processes in MDD and DM could decrease the vulnerability towards AD.

Implications of epigenetic modulation for novel treatment approaches in patients with schizophrenia.

Schizophrenia is a heterogeneous and complex mental disorder with high rates of disability, non-recovery, and relapse. The primary pharmacological treatments for schizophrenia are antipsychotics. Notwithstanding the efficacy of antipsychotics in ameliorating positive symptoms and reducing relapse rates, cognitive deficits and negative symptoms are not sufficiently treated with available pharmaceutical agents. Moreover, schizophrenia is associated with consistent, replicable, and clinically significant deficits in cognition. The importance of cognitive deficits in schizophrenia is emphasized by reports indicating that the severity of cognitive deficits is predictive of treatment compliance, adherence, and risk of relapse among first-episode individuals. Taken together, this review highlights epigenetic modulations involving histone deacetylase (HDAC) inhibitors as a potential avenue for novel treatment toward improvements in cognition and functional outcomes in patients with schizophrenia. The combination of epigenetic modulation with pharmacological interventions that engage multiple disparate physiological systems implicated in schizophrenia are discussed, and may represent a more effective strategy in ameliorating cognitive deficits and mitigating symptoms for improved functionality.

The putative impact of metabolic health on default mode network activity and functional connectivity in neuropsychiatric disorders.

The default mode network (DMN) describes a distributed network of brain regions that are predominantly activated and engaged during periods of spontaneous, stimulus independent thought (i.e., at rest) and remain quiescent during attention-demanding, goal-directed tasks. Replicated evidence in functional neuroimaging studies suggests that midline cortical and subcortical brain regions responsible for memory, self-relevant emotional and mental processes, as well as information integration comprise the DMN. The DMN is posited to represent self-referential mental activity via a dynamic interplay of cognitive and emotional processes by integrating information from the external environment with introspective thoughts to generate an autobiographical concept of the self. It has been amply documented that irregularities in the DMN and its functional connectivity are associated with various neuropsychiatric disorders. Moreover, accumulating evidence also suggests that individuals with select medical disorders (i.e., metabolic disorders) demonstrate alterations in DMN activity and functional connectivity. However, there is a paucity of data evaluating whether individuals with metabolically-based medical conditions, exhibiting altered DMN activity and functional connectivity, are at increased risk for developing neuropsychiatric disorders. Likewise, potential mechanisms (e.g., altered brain metabolism, insulin resistance) mediating these changes and their implications for novel treatment approaches have yet to be elucidated. Taken together, the overarching aim of this review is to provide a synthetic overview that suggests that this neural circuit may represent a common (or convergent) substrate affected in individuals with select neuropsychiatric and metabolic disorders.

A review of electroencephalographic changes in diabetes mellitus in relation to major depressive disorder.

A bidirectional relationship exists between diabetes mellitus (DM) and major depressive disorder (MDD), with depression commonly reported in both type 1 DM (T1DM) and type 2 DM (T2DM), and depressive symptoms associated with a higher incidence of diabetes. However, how the two conditions are pathologically connected is not completely understood. Similar neurophysiological abnormalities have been reported in both DM and MDD, including elevated electroencephalographic (EEG) activity in low-frequency slow waves and increased latency and/or reduced amplitude of event-related potentials. It is possible that this association reflects some common underlying pathology, and it has been proposed that diabetes may place patients at risk for depression through a biological mechanism linking the metabolic changes of DM to changes in the central nervous system. In this review we will discuss EEG abnormalities in DM, as well as the biological mechanisms underlying various EEG parameters, in order to evaluate whether or not a common EEG biosignature exists between DM and MDD. Identifying such commonalities could significantly inform the current understanding of the mechanisms that subserve the development of the two conditions. Moreover, this new insight may provide the basis for informing new drug discovery capable of mitigating and possibly even preventing both conditions.

Sleep architecture in ziprasidone-treated bipolar depression: a pilot study.

OBJECTIVES: This study investigated the effect of ziprasidone augmentation therapy on sleep architecture in bipolar depression. METHODS: We conducted a double-blind, randomized, placebo-controlled clinical pilot trial of ziprasidone versus placebo in Diagnostic and Statistical Manual of Mental Disorders, fourth edition bipolar disorder with current major depressive episode. The effects during acute (2-5 days) and continuation treatment (28-31 days) were measured. Main outcomes were sleep architecture variables including rapid eye movement sleep (REM) and slow wave sleep (SWS) measured by polysomnography. Secondary outcomes included subjective sleep quality measures and illness severity measures including the 17-item Hamilton Depression Rating Scale (HAMD-17), Montgomery Asberg Depression Rating Scale (MADRS), Hamilton Anxiety Rating Scale (HAMA) and Clinical Global Illness Severity (CGI-S) scores. RESULTS: The completer analysis comprised of 14 patients (ziprasidone, N = 8 and placebo, N = 6). Latency to REM, duration of SWS, duration of stage 2 sleep, total sleep time, onset to sleep latency, number of awakenings and overall sleep efficiency significantly improved in ziprasidone-treated participants over placebo. CGI-S and HAMA scores also significantly improved. No significant difference between treatment groups was seen on the HAMD-17, MADRS or in self-reported sleep quality. Increase in SWS duration significantly correlated with improvement in CGI-S, however, this finding did not withstand Bonferroni correction. CONCLUSION: Adjunctive ziprasidone treatment alters sleep architecture in patients with bipolar depression, which may partially explain its mechanism of action and merits further investigation.

The neurobiology of the EEG biomarker as a predictor of treatment response in depression.

The management of depression remains a constant challenge in clinical practice. This is largely due to the fact that initial treatments frequently do not lead to remission and recovery. The current treatment approach involves lengthy trial-and-error periods. It would be beneficial to have early reliable predictors to determine whether patients will respond to treatment or not. Electroencephalography (EEG) derived biomarkers namely change in the activity of EEG frequency bands, hemispheric alpha asymmetry, theta cordance, the antidepressant treatment response index (ATR) and evoked potentials have all been shown to predict response to a variety of antidepressant medications. However, the neurobiology in support of this association has been largely unexplored. In this review, we discuss biological mechanisms for each EEG derived biomarker predictive of treatment response. Validating such biomarkers will not only greatly aid clinicians in selecting antidepressant treatment for individual patients but will also provide a critical step in drug discovery.