Parcel-guided rTMS for depression.

Transcranial magnetic stimulation (TMS) is an approved intervention for treatment-resistant depression (TRD), but current targeting approaches are only partially successful. Our objectives were (1) to examine the feasibility of MRI-guided TMS in the clinical setting using a recently published surface-based, multimodal parcellation in patients with TRD who failed standard TMS (sdTMS); (2) to examine the neurobiological mechanisms and clinical outcomes underlying MRI-guided TMS compared to that of sdTMS. We used parcel-guided TMS (pgTMS) to target the left dorsolateral prefrontal cortex parcel 46. Resting-state functional connectivity (rsfc) was assessed between parcel 46 and predefined nodes within the default mode and visual networks, following both pgTMS and sdTMS. All patients (n = 10) who had previously failed sdTMS responded to pgTMS. Alterations in rsfc between frontal, default mode, and visual networks differed significantly over time between groups. Improvements in symptoms correlated with alterations in rsfc within each treatment group. The outcome of our study supports the feasibility of pgTMS within the clinical setting. Future prospective, double-blind studies of pgTMS vs. sdTMS appear warranted.

Resting state functional connectivity predictors of treatment response to electroconvulsive therapy in depression.

There is increasing focus on use of resting-state functional connectivity (RSFC) analyses to subtype depression and to predict treatment response. To date, identification of RSFC patterns associated with response to electroconvulsive therapy (ECT) remain limited, and focused on interactions between dorsal prefrontal and regions of the limbic or default-mode networks. Deficits in visual processing are reported in depression, however, RSFC with or within the visual network have not been explored in recent models of depression. Here, we support prior studies showing in a sample of 18 patients with depression that connectivity between dorsal prefrontal and regions of the limbic and default-mode networks serves as a significant predictor. In addition, however, we demonstrate that including visual connectivity measures greatly increases predictive power of the RSFC algorithm (>80% accuracy of remission). These exploratory results encourage further investigation into visual dysfunction in depression, and use of RSFC algorithms incorporating the visual network in prediction of response to both ECT and transcranial magnetic stimulation (TMS), offering a new framework for the development of RSFC-guided TMS interventions in depression.

The MCCB impairment profile in a Spanish sample of patients with schizophrenia: Effects of diagnosis, age, and gender on cognitive functioning.

The MATRICS Consensus Cognitive Battery (MCCB) was administered to 293 schizophrenia outpatients and 210 community residents in Spain. Our first objective was to identify the age- and gender-corrected MCCB cognitive profile of patients with schizophrenia. The profile of schizophrenia patients showed deficits when compared to controls across the seven MCCB domains. Reasoning and Problem Solving and Social Cognition were the least impaired, while Visual Learning and Verbal Learning showed the greatest deficits. Our second objective was to study the effects on cognitive functioning of age and gender, in addition to diagnosis. Diagnosis was found to have the greatest effect on cognition (Cohen's d>0.8 for all MCCB domains); age and gender also had effects on cognitive functioning, although to a lesser degree (with age usually having slightly larger effects than gender). The effects of age were apparent in all domains (with better performance in younger subjects), except for Social Cognition. Gender had effects on Attention/Vigilance, Working Memory, Reasoning and Problem Solving (better performance in males), and Social Cognition (better performance in females). No interaction effects were found between diagnosis and age, or between diagnosis and gender. This lack of interactions suggests that age and gender effects are not different in patients and controls.

Differential relationships between set-shifting abilities and dimensions of insight in schizophrenia.

BACKGROUND: To assess insight in a large sample of patients with schizophrenia and to study its relationship with set shifting as an executive function. METHODS: The insight of a sample of 161 clinically stable, community-dwelling patients with schizophrenia was evaluated by means of the Scale to Assess Unawareness of Mental Disorder (SUMD). Set shifting was measured using the Trail-Making Test time required to complete part B minus the time required to complete part A (TMT B-A). Linear regression analyses were performed to investigate the relationships of TMT B-A with different dimensions of general insight. RESULTS: Regression analyses revealed a significant association between TMT B-A and two of the SUMD general components: 'awareness of mental disorder' and 'awareness of the efficacy of treatment'. The 'awareness of social consequences' component was not significantly associated with set shifting. CONCLUSIONS: Our results show a significant relation between set shifting and insight, but not in the same manner for the different components of the SUMD general score.

The MATRICS consensus cognitive battery (MCCB): co-norming and standardization in Spain.

The MATRICS Consensus Cognitive Battery (MCCB), developed by the National Institute of Mental Health (NIMH) Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative, has been recommended as the standard battery for clinical trials of cognition-enhancing interventions for schizophrenia. Normative data for the MCCB has been previously obtained in the U.S. Extrapolation of these normative data to different countries may be problematic due to the translation of the different tests, as well as potential cultural influences. We present the process of obtaining normative data for the MCCB in Spain with administration of the battery to a general community standardization sample. In addition, we examine the influence of age, gender, and educational level on test performance. The MCCB was administered to a total sample of 210 healthy volunteers, at three Spanish sites. For each site, recruitment of the sample was stratified according to age, gender, and educational level. Our findings indicate significant age, gender, and education effects on the normative data for the MCCB in Spain, which are comparable to those effects described for the original standardized English version in the U.S. The fact that the normative data are comparable, and that the variables age, gender, and education have a similar influence on performance, supports the robustness of the MCCB for use in different countries.