Segmentation and Volume Estimation of the Habenula Using Deep Learning in Patients With Depression.

Background: The habenula is involved in the pathophysiology of depression. However, its small structure limits the accuracy of segmentation methods, and the findings regarding its volume have been inconsistent. This study aimed to create a highly accurate habenula segmentation model using deep learning, test its generalizability to clinical magnetic resonance imaging, and examine differences between healthy participants and patients with depression. Methods: This multicenter study included 382 participants (patients with depression: N = 234, women 47.0%; healthy participants: N = 148, women 37.8%). A 3-dimensional residual U-Net was used to create a habenula segmentation model on 3T magnetic resonance images. The reproducibility and generalizability of the predictive model were tested on various validation cohorts. Thereafter, differences between the habenula volume of healthy participants and that of patients with depression were examined. Results: A Dice coefficient of 86.6% was achieved in the derivation cohort. The test-retest dataset showed a mean absolute percentage error of 6.66, indicating sufficiently high reproducibility. A Dice coefficient of >80% was achieved for datasets with different imaging conditions, such as magnetic field strengths, spatial resolutions, and imaging sequences, by adjusting the threshold. A significant negative correlation with age was observed in the general population, and this correlation was more pronounced in patients with depression (p < 10-7, r = -0.59). Habenula volume decreased with depression severity in women even when the effects of age and scanner were excluded (p = .019, η2 = 0.099). Conclusions: Habenula volume could be a pathophysiologically relevant factor and diagnostic and therapeutic marker for depression, particularly in women.

Accurate segmentation of the habenula, a brain region implicated in depression, is challenging. In this study, we developed an automated human habenula segmentation model using deep learning techniques. The model was confirmed to be reproducible and generalizable at various spatial resolutions. Application of this model to a multicenter dataset confirmed that habenula volume decreased with age in healthy volunteers, an association that was more pronounced in individuals with depression. In addition, habenula volume decreased with the severity of depression in women. This novel model for habenula segmentation enables further study of the role of the habenula in depression.

SARS-CoV-2 causes dysfunction in human iPSC-derived brain microvascular endothelial cells potentially by modulating the Wnt signaling pathway.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), which is associated with various neurological symptoms, including nausea, dizziness, headache, encephalitis, and epileptic seizures. SARS-CoV-2 is considered to affect the central nervous system (CNS) by interacting with the blood-brain barrier (BBB), which is defined by tight junctions that seal paracellular gaps between brain microvascular endothelial cells (BMECs). Although SARS-CoV-2 infection of BMECs has been reported, the detailed mechanism has not been fully elucidated. METHODS: Using the original strain of SARS-CoV-2, the infection in BMECs was confirmed by a detection of intracellular RNA copy number and localization of viral particles. BMEC functions were evaluated by measuring transendothelial electrical resistance (TEER), which evaluates the integrity of tight junction dynamics, and expression levels of proinflammatory genes. BMEC signaling pathway was examined by comprehensive RNA-seq analysis. RESULTS: We observed that iPSC derived brain microvascular endothelial like cells (iPSC-BMELCs) were infected with SARS-CoV-2. SARS-CoV-2 infection resulted in decreased TEER. In addition, SARS-CoV-2 infection decreased expression levels of tight junction markers CLDN3 and CLDN11. SARS-CoV-2 infection also increased expression levels of proinflammatory genes, which are known to be elevated in patients with COVID-19. Furthermore, RNA-seq analysis revealed that SARS-CoV-2 dysregulated the canonical Wnt signaling pathway in iPSC-BMELCs. Modulation of the Wnt signaling by CHIR99021 partially inhibited the infection and the subsequent inflammatory responses. CONCLUSION: These findings suggest that SARS-CoV-2 infection causes BBB dysfunction via Wnt signaling. Thus, iPSC-BMELCs are a useful in vitro model for elucidating COVID-19 neuropathology and drug development.

Effects of riluzole on psychiatric disorders with anxiety or fear as primary symptoms: A systematic review.

AIM: Previous behavioral pharmacology studies involving rodents suggested riluzole had potential to be an ideal psychotropic drug for psychiatric disorders with anxiety or fear as primary symptoms. Several clinical studies have recently been conducted. The purpose of this study was to gather information about the efficacy and tolerability of riluzole for patients with those symptoms. METHODS: We searched PubMed, PsycINFO, CINAHL, EMBASE, and the Cochrane database from inception until April 2021, and performed manual searches for additional relevant articles. This review included: (1) studies involving participants that were patients with generalized anxiety disorder (GAD), social anxiety disorder, panic disorder, obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD), acute stress disorder, or phobias; and (2) randomized controlled trials (RCTs) or intervention studies (e.g., single arm trials) examining the effects and safety of riluzole. RESULTS: Of the 795 identified articles, four RCTs, one RCT subgroup-analysis, and three open-label trials without control groups met the inclusion criteria. Most trials evaluated the efficacy of riluzole as an augmentation therapy with selective serotonin reuptake inhibitors and other antidepressants for PTSD, OCD, or GAD. However, there was insufficient evidence to confirm the effects of riluzole for patients with these psychiatric disorders. Most trials demonstrated adequate study quality. CONCLUSIONS: This review found insufficient evidence to confirm the effects of riluzole for psychiatric disorders with anxiety or fear as primary symptoms. It would be worthwhile to conduct studies that incorporate novel perspectives, such as examining the efficacy of riluzole as a concomitant medication for psychotherapy.

Drug repurposing for the treatment of COVID-19.

Coronavirus disease 2019 (COVID-19) remains prevalent worldwide since its onset was confirmed in Wuhan, China in 2019. Vaccines against the causative virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have shown a preventive effect against the onset and severity of COVID-19, and social and economic activities are gradually recovering. However, the presence of vaccine-resistant variants has been reported, and the development of therapeutic agents for patients with severe COVID-19 and related sequelae remains urgent. Drug repurposing, also called drug repositioning or eco-pharma, is the strategy of using previously approved and safe drugs for a therapeutic indication that is different from their original indication. The risk of severe COVID-19 and mortality increases with advancing age, cardiovascular disease, hypertension, diabetes, and cancer. We have reported three protein-protein interactions that are related to heart failure, and recently identified that one mechanism increases the risk of SARS-CoV-2 infection in mammalian cells. This review outlines the global efforts and outcomes of drug repurposing research for the treatment of severe COVID-19. It also discusses our recent finding of a new protein-protein interaction that is common to COVID-19 aggravation and heart failure.

SARS-CoV-2 induces barrier damage and inflammatory responses in the human iPSC-derived intestinal epithelium.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread and led to global health crises. COVID-19 causes well-known respiratory failure and gastrointestinal symptoms, such as diarrhea, nausea, and vomiting. Thus, human gastrointestinal cell models are urgently needed for COVID-19 research; however, it is difficult to obtain primary human intestinal cells. In this study, we examined whether human induced pluripotent stem cell (iPSC)-derived small intestinal epithelial cells (iPSC-SIECs) could be used as a SARS-CoV-2 infection model. We observed that iPSC-SIECs, such as absorptive and Paneth cells, were infected with SARS-CoV-2, and remdesivir treatment decreased intracellular SARS-CoV-2 replication in iPSC-SIECs. SARS-CoV-2 infection decreased expression levels of tight junction markers, ZO-3 and CLDN1, and transepithelial electrical resistance (TEER), which evaluates the integrity of tight junction dynamics. In addition, SARS-CoV-2 infection increased expression levels of proinflammatory genes, which are elevated in patients with COVID-19. These findings suggest iPSC-SIECs as a useful in vitro model for elucidating COVID-19 pathology and drug development.

Electroconvulsive Therapy on Treatment-resistant Mania in Bipolar Disorder with No Concurrent Antipsychotics: A Case Report.

Pharmacotherapy is generally the first choice for the treatment of acute mania in bipolar disorder. Electroconvulsive therapy (ECT) is reported to be an effective treatment modality for mania; however, it is usually used as the "last resort." Herein, we report a case of a patient with treatment-resistant severe mania in bipolar disorder who recovered with ECT without concurrent antipsychotics and mood stabilizers. Our case report showed that ECT monotherapy can be an effective treatment modality for manic state in bipolar disorder, which may lead to a shorter hospital stay and better social outcomes.

TRPC3-Nox2 Protein Complex Formation Increases the Risk of SARS-CoV-2 Spike Protein-Induced Cardiomyocyte Dysfunction through ACE2 Upregulation.

Myocardial damage caused by the newly emerged coronavirus (SARS-CoV-2) infection is one of the key determinants of COVID-19 severity and mortality. SARS-CoV-2 entry to host cells is initiated by binding with its receptor, angiotensin-converting enzyme (ACE) 2, and the ACE2 abundance is thought to reflect the susceptibility to infection. Here, we report that ibudilast, which we previously identified as a potent inhibitor of protein complex between transient receptor potential canonical (TRPC) 3 and NADPH oxidase (Nox) 2, attenuates the SARS-CoV-2 spike glycoprotein pseudovirus-evoked contractile and metabolic dysfunctions of neonatal rat cardiomyocytes (NRCMs). Epidemiologically reported risk factors of severe COVID-19, including cigarette sidestream smoke (CSS) and anti-cancer drug treatment, commonly upregulate ACE2 expression level, and these were suppressed by inhibiting TRPC3-Nox2 complex formation. Exposure of NRCMs to SARS-CoV-2 pseudovirus, as well as CSS and doxorubicin (Dox), induces ATP release through pannexin-1 hemi-channels, and this ATP release potentiates pseudovirus entry to NRCMs and human iPS cell-derived cardiomyocytes (hiPS-CMs). As the pseudovirus entry followed by production of reactive oxygen species was attenuated by inhibiting TRPC3-Nox2 complex in hiPS-CMs, we suggest that TRPC3-Nox2 complex formation triggered by panexin1-mediated ATP release participates in exacerbation of myocardial damage by amplifying ACE2-dependent SARS-CoV-2 entry.

Structural brain network differences in bipolar disorder using with similarity-based approach.

Objective: Previous studies have shown differences in the regional brain structure and function between patients with bipolar disorder (BD) and healthy subjects, but little is known about the structural connectivity between BD patients and healthy subjects. In this study, we evaluated the disease-related changes in regional structural connectivity derived from gray matter magnetic resonance imaging (MRI) scans. Methods: The subjects were 73 patients with BD and 80 healthy volunteers who underwent 3-Tesla MRI. Network metrics, such as the small world properties, were computed. We also performed rendering of the network metric images such as the degree, betweenness centrality, and clustering coefficient, on individual brain image. Then, we estimated the differences between them, and evaluate the relationships between the clinical symptoms and the network metrics in the patients with BD. Results: BD patients showed a lower clustering coefficient in the right parietal region and left occipital region, compared with healthy subjects. A weak negative correlation between Young mania rating scale and clustering coefficient was found in left anterior cingulate cortex. Conclusions: We found differences in gray matter structural connectivity between BD patients and healthy subjects by a similarity-based approach. These points may provide objective biological information as an adjunct to the clinical diagnosis of BD.

Impaired brain function improved by L-carnitine in patients with cirrhosis: evaluation using near-infrared spectroscopy.

To evaluate the effects of L-carnitine on impaired brain function in patients with liver cirrhosis. We conducted a retrospective cohort study that included sequential 80 liver cirrhosis patients with impaired brain function evaluated using near-infrared spectroscopy (NIRS). Among them, L-carnitine was administered to 48 patients. The NIRS data and blood ammonia level at baseline and after 8 weeks of treatment were compared between patients administered with L-carnitine (L-carnitine group) and those who were not (control group). The NIRS data at baseline were similar between the L-carnitine and control groups (0.04 ± 0.04 vs. 0.04 ± 0.05 mMmm, p = n.s), whereas those in the L-carnitine group (n = 48) were significantly better than that of the control group at 8 weeks of treatment (n = 32) (0.103 ± 0.081 vs. 0.040 ± 0.048 mMmm, p < 0.001). In the L-carnitine group, 35.4% (17/48) of patients had hyperammonemia. The NIRS data of the L-carnitine group at 8 weeks of treatment were significantly improved than that of the control group, irrespective of baseline ammonia levels (0.11 ± 0.09 vs. 0.04 ± 0.05 mMmm, p = 0.005, and 0.10 ± 0.06 vs. 0.02 ± 0.03 mMmm, p = 0.003, for normal baseline ammonia and elevated ammonia levels, respectively). In the multivariate analysis, L-carnitine administration (odds ratio [OR] 3.51, 95% confidence interval [CI] 1.23-9.99, p = 0.019) and baseline NIRS data of ≤ 0.07 mMmm (OR 5.21, 95% CI 1.69-16.0, p = 0.0041) were found as independent significant factors. L-carnitine improves impaired brain function in patients with liver cirrhosis.

Reduced plasma orexin-A levels in patients with bipolar disorder.

PURPOSE: Orexins are hypothalamic neuropeptides involved in the regulation of sleep, appetite and arousal. An altered orexin system has been implicated in the pathophysiology of psychiatric disorders. This study aimed to examine whether plasma orexin-A levels differ in patients with schizophrenia, major depressive disorder (MDD), or bipolar disorder (BD) compared to in healthy controls. We also examined the possible correlations between plasma orexin-A levels and clinical variables. PATIENTS AND METHODS: All participants were Japanese. The sample consisted of 80 patients with schizophrenia (42 women, 52.5%; mean age 36.8 years), 80 patients with MDD (43 women, 53.8%; 43.7 years), and 40 patients with BD (24 women, 60%; 41.1 years), as well as 80 healthy controls (48 women, 60%; 47.0 years). Plasma orexin-A levels were quantified by an enzyme-linked immunosorbent assay. RESULTS: Mean orexin-A levels were significantly different across the four diagnostic groups (F=4.09; df=3; p=0.007, η2 =0.06). In particular, the patients with BD showed significantly lower orexin-A levels than did the controls. When the median value of the control group (109.8 pg/ml) was set as a cut-off value, subjects whose orexin-A levels were below the cut-off were more common in all psychiatric groups (schizophrenia: 73.8%, x2 =9.56, df=1, p=0.003, OR=2.81, 95% CI: 1.45 to 5.45, d=0.57; MDD: 78.5%, x2 =14.02, df=1, p<0.001, OR=3.65, 95% CI: 1.82 to 7.29, d=0.72; BD: 87.5%, x2 =16.0, df=1, p<0.001, OR=7.00, 95% CI: 2.49 to 19.70, d=1.07). We found no association between plasma orexin-A levels and any clinical symptoms, depression severity, or medication doses. CONCLUSION: Our results suggest that plasma orexin-A levels are reduced in patients with BD.

Lysophosphatidic acid levels in cerebrospinal fluid and plasma samples in patients with major depressive disorder.

Major depressive disorder (MDD) is the most common psychiatric disorders. However, a biochemical marker has yet to be established for clinical purposes. It is proposed that lysophosphatidic acid (LPA, 1-acyl-2-sn-glycerol-3-phosphoate) plays some important roles in emotional regulation of experimental animals. Therefore, in this study, we measured LPA levels using enzyme-linked immunosorbent assays of cerebrospinal fluid (CSF) and plasma samples from patients with MDD. The participants were 52 patients and 49 normal healthy controls for CSF study, and 47 patients and 44 controls for plasma study. We used the Japanese version of the GRID Hamilton Depression Rating Scale (17-item version) for the assessment of depressive symptoms. We found no associations between LPA levels (CSF or plasma) and either diagnosis or severity of MDD, or with psychotropic medication. In conclusion, our data suggest that LPA levels likely would not serve as a practical biomarker of MDD.

The use of diffusional kurtosis imaging and neurite orientation dispersion and density imaging of the brain in bipolar disorder.

BACKGROUND: Diffusional kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) are new diffusional magnetic resonance imaging (dMRI) techniques to clarify the characterization of neural tissues in the human brain. In this study, we evaluated the structural changes of the cerebrum in patients with bipolar disorder (BD) by these dMRI techniques. METHODS: Thirty-one Japanese patients with BD (male/female: 14/17; 29 out of 31 patients were right-handed; mean age: 39.5 ±â€¯9.3) and 28 healthy, right-handed Japanese subjects underwent 3-Tesla dMRI. We compared the dMRI metrics between the 2 groups and examined the relationships among the metrics. LIMITATION: The majority of the participants in this study were medicated with antidepressants and antipsychotics. Further studies with drug-free participants will be needed before any conclusions can be drawn regarding microstructural changes in BD. RESULTS: The BD patients showed significantly reduced mean kurtosis in right inferior front-occipital fasciculus and right posterior cingulate cortex (PCC), and neurite density indices in the right -PCC, compared with the controls. As for the orientation dispersion index, we detected significant decrease in the left hippocampal region of BD patients. CONCLUSIONS: Using the new dMRI techniques, we observed disease-related alterations in the inferior front-occipital fasciculus, PCC, and hippocampal regions which play important roles in BD. These results may indicate that NODDI and DKI are useful to detect changes in the microstructural tissue organization in BD. It is anticipated that these techniques will be adopted as the mainstream methods for neuroimaging study.

Levels of lysophosphatidic acid in cerebrospinal fluid and plasma of patients with schizophrenia.

It is suggested that lysophosphatidic acid (LPA) plays a key role in the pathophysiology of schizophrenia. In this study, we measured LPA levels by enzyme-linked immunosorbent assay in cerebrospinal fluid (CSF) and plasma samples. The participants were 49 patients with schizophrenia and 49 normal healthy controls for CSF study, and 42 patients and 44 controls for plasma study. We found that LPA levels in the patients were not significantly different from those of controls in CSF (controls: 0.189 ±â€¯0.077 µM, patients: 0.175 ±â€¯0.067 µM; P = 0.318) and plasma samples (controls: 0.131 ±â€¯0.067 µM, patients: 0.120 ±â€¯0.075 µM; P = 0.465). On the other hand, CSF levels in medicated patients (0.162 ±â€¯0.061 µM) were significantly lower than those observed in unmedicated patients (0.224 ±â€¯0.067 µM, P = 0.038), suggesting that our findings could be masked by the influence of medication with antipsychotics. Interestingly, we detected significant negative correlation between PANSS scores and plasma LPA levels, especially in males and in unmedicated patients. Our result suggests that LPA levels in CSF and plasma samples would not serve as a diagnostic biomarker, but plasma levels could be used for symptomatic assessment of schizophrenia.

Resilience and depression/anxiety symptoms in multiple sclerosis and neuromyelitis optica spectrum disorder.

BACKGROUND: Depression and anxiety are common in multiple sclerosis (MS) and recently, studies on these symptoms in neuromyelitis optica spectrum disorder (NMOSD) are increasing. Previous studies suggest that these symptoms have negative effects on the quality of life. Resilience has garnered more interest as one of the protective factors that works to prevent psychiatric symptoms in past decades. There exist a few studies, however, regarding the effects of resilience on these psychiatric symptoms in MS/NMOSD. OBJECTIVE: The aim of this study was to clarify the relationships between resilience, psychiatric symptoms, and QOL in patients with MS/NMOSD. METHOD: Seventy-seven patients with MS/NMOSD participated in this study. They completed several questionnaires (Beck Depression Inventory-Second edition, Hospital Anxiety and Depression Scale, the Japanese version of the Resilience scale [RS], and Japanese version of Multiple Sclerosis Quality of Life-54). We also collected demographic and clinical data including age, sex, physical disability level (measured with the Expanded Disability Status Scale [EDSS]), and disease duration of the participants. RESULTS: The EDSS scores showed significant negative correlations with QOL, unlike disease duration, which did not correlate with either the psychiatric symptoms or QOL. Additionally, there was no significant correlation between RS scores and EDSS scores or disease duration. We also found that resilience showed a significant negative correlation with psychiatric symptoms, and positive correlation with QOL. CONCLUSION: These results suggest that resilience may serve to prevent or reduce depression/anxiety symptoms and maintain the QOL regardless of the physical disability level.

The effect of transcranial direct current stimulation on psychotic symptoms of schizophrenia is associated with oxy-hemoglobin concentrations in the brain as measured by near-infrared spectroscopy: A pilot study.

Transcranial direct current stimulation (tDCS) has been shown to be effective in treating some of the symptoms of schizophrenia. In the current study, we sought to determine whether oxy-hemoglobin ([oxy-Hb]), measured by near-infrared spectroscopy (NIRS), is associated with effects of transcranial direct current stimulation (tDCS) on psychotic symptoms of schizophrenia. Twenty-six patients underwent tDCS (2 mA × 20 min) two times per day for five consecutive days. The anodal electrode was placed over the left dorsolateral prefrontal cortex while the cathodal electrode was placed over the right supraorbital region. One month after the last administration of tDCS, positive, but not negative symptoms, evaluated by the Positive and Negative Syndrome Scale (PANSS), were significantly improved. At baseline, regional [oxy-Hb] concentrations in the brain were measured by a 52-channel NIRS instrument. Significant negative correlation was demonstrated between [oxy-Hb] concentrations of left temporoparietal regions throughout verbal fluency tasks vs. changes of PANSS Positive and Negative subscale scores. This is the first study to demonstrate the correlation between the response of neural activity to cognitive tasks at baseline and the ability of tDCS to improve positive and negative psychotic symptoms. Our observations suggest that NIRS provides a marker to predict the response to treatment with tDCS in schizophrenia.

Empirical evidence for discrete neurocognitive subgroups in patients with non-psychotic major depressive disorder: clinical implications.

BACKGROUND: Neuropsychological deficits are present across various cognitive domains in major depressive disorder (MDD). However, a consistent and specific profile of neuropsychological abnormalities has not yet been established. METHODS: We assessed cognition in 170 patients with non-psychotic MDD using the Brief Assessment of Cognition in Schizophrenia and the scores were compared with those of 42 patients with schizophrenia as a reference for severity of cognitive impairment. Hierarchical cluster analysis was conducted to determine whether there are discrete neurocognitive subgroups in MDD. We then compared the subgroups in terms of several clinical factors and social functioning. RESULTS: Three distinct neurocognitive subgroups were found: (1) a mild impairment subgroup with near-normative performance and mild dysfunction in motor speed; (2) a selective impairment subgroup, which exhibited preserved working memory and executive function, but moderate to severe deficits in verbal memory, motor speed, verbal fluency, and attention/information processing speed; and (3) a global impairment subgroup with moderate to severe deficits across all neurocognitive domains, comparable with deficits in schizophrenia. The global impairment subgroup was characterized by lower pre-morbid intelligence quotient (IQ). Moreover, a significant difference between groups was observed in premorbid IQ (p = 0.003), antidepressant dose (p = 0.043), antipsychotic dose (p = 0.013), or anxiolytic dose (p < 0.001). CONCLUSIONS: These results suggest the presence of multiple neurocognitive subgroups in non-psychotic MDD with unique profiles, one of which exhibits deficits comparable to those of schizophrenia. The results of the present study may help guide future efforts to target these disabling symptoms using different treatments.

Plasma amino acid profile in major depressive disorder: Analyses in two independent case-control sample sets.

Some amino acids act as neurotransmitters themselves, or are precursors of neurotransmitters. Previous studies reported inconsistent results regarding their changes in blood in major depressive disorder (MDD), which prompted us to examine plasma levels of amino acids and related molecules in two independent case-control sample sets. In total, 511 subjects were recruited. Sample set A consisted of 164 patients with MDD (147 currently depressed [dMDD]; 17 in remission, DSM-IV) and 217 healthy controls. Sample set B consisted of 65 patients (51 dMDD; 14 in remission) and 65 controls. Plasma amino acid levels were measured using high-performance liquid chromatography for set A and liquid chromatography/mass spectrometry for set B. We further analyzed the relationships between plasma amino acid levels and clinical variables. In sample set A, plasma asparagine, histidine+1-methylhistidine, methionine, phenylalanine, tryptophan, and tyrosine levels were decreased, while plasma glutamate and phosphoethanolamine were elevated in dMDD compared to controls (all P < 0.0005), even after correcting for multiple testing. Plasma leucine levels were associated with "psychic anxiety." In sample set B, glutamate and methionine levels were also altered in the same direction to that in sample set A (both P < 0.05). In the integrative analysis, plasma glutamate and methionine levels were found to be significantly associated with the diagnosis of MDD with small to medium effect sizes (both P < 1.0E-6). In conclusion, several amino acids and related molecules were altered in patients with MDD. Decreased methionine and increased glutamate levels were found consistently in the two sample sets, suggesting their involvement in MDD. Further investigations are warranted on the possible role of amino acids in the pathophysiology of MDD.

Association of obesity with cognitive function and brain structure in patients with major depressive disorder.

BACKGROUND: Obesity has been implicated in the pathophysiology of major depressive disorder (MDD), which prompted us to examine the possible association of obesity with cognitive function and brain structure in patients with MDD. METHODS: Three hundred and seven patients with MDD and 294 healthy participants, matched for age, sex, ethnicity (Japanese), and handedness (right) were recruited for the study. Cognitive function was assessed using the Brief Assessment of Cognition in Schizophrenia (BACS). Gray and white matter structures were analyzed using voxel-based morphometry and diffusion tensor imaging in a subsample of patients (n = 114) whose magnetic resonance imaging (MRI) data were obtained using a 1.5 T MRI system. RESULTS: Verbal memory, working memory, motor speed, attention, executive function, and BACS composite scores were lower for the MDD patients than for the healthy participants (p < 0.05). Among the patient group, working memory, motor speed, executive function, and BACS composite scores were lower in obese patients (body mass index ≥ 30, n = 17) than in non-obese patients (n = 290, p < 0.05, corrected). MRI determined frontal, temporal, thalamic, and hippocampal volumes, and white matter fractional anisotropy values in the internal capsule and left optic radiation were reduced in obese patients (n = 7) compared with non-obese patients (n = 107, p < 0.05, corrected). LIMITATIONS: Sample size for obese population was not very large. CONCLUSIONS: Obesity is associated with decreased cognitive function, reduced gray matter volume, and impaired white matter integrity in cognition-related brain areas in patients with MDD.

The use of diffusional kurtosis imaging and neurite orientation dispersion and density imaging of the brain in major depressive disorder.

Diffusional kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) are new diffusional magnetic resonance imaging (dMRI) techniques for the characterization of neural tissues in human brain. In this study, we used these dMRI techniques to evaluate the whole-brain microstructural changes in patients with major depressive disorder (MDD). Twenty-three patients with MDD and 26 healthy subjects underwent dMRI. We compared the dMRI metrics between the 2 groups and examined the relationships between the metrics and the clinical symptoms of MDD. The MDD patients showed significant fractional anisotropy reduction in the bilateral parietal, right parieto-occipital, and right superior temporal corti, compared with the controls. Mean kurtosis values were significantly reduced in MDD patients in the right superior temporal cortex and bilateral posterior thalamic radiation. Neurite density index reductions were found in the right superior temporal cortex, bilateral insulae, right inferior frontal cortex, left parahippocampal region, left middle cerebellar peduncle, and right cerebellum. Regarding the orientation dispersion index (ODI), we detected significant decreases in the left thalamus and left occipital cortex, and significant increases in the bilateral superior longitudinal fasciculi and left posterior thalamic radiation tract. Further, there were significant positive correlations between the total Hamilton Depression Rating scale-21 scores and the ODI values in the right frontal gyri. These results suggest that the DKI and NODDI methods may provide more information about microstructural abnormalities in patients with MDD than the DTI method. It is thus expected that these techniques will be adopted as the informative methods for neuroimaging study.