The Mexican dataset of a repetitive transcranial magnetic stimulation clinical trial on cocaine use disorder patients: SUDMEX TMS.

Cocaine use disorder (CUD) is a global health problem with severe consequences, leading to behavioral, cognitive, and neurobiological disturbances. While consensus on treatments is still ongoing, repetitive transcranial magnetic stimulation (rTMS) has emerged as a promising approach for medication-resistant disorders, including substance use disorders. In this context, here we present the SUDMEX-TMS, a Mexican dataset from an rTMS clinical trial involving CUD patients. This longitudinal dataset comprises 54 CUD patients (including 8 females) with data collected at five time points: baseline (T0), two weeks (T1), three months (T2), six months (T3) follow-up, and twelve months (T4) follow-up. The clinical rTMS treatment followed a double-blinded randomized clinical trial design (n = 24 sham/30 active) for 2 weeks, followed by an open-label phase. The dataset includes demographic, clinical, and cognitive measures, as well as magnetic resonance imaging (MRI) data collected at all time points, encompassing structural (T1-weighted), functional (resting-state fMRI), and multishell diffusion-weighted (DWI-HARDI) sequences. This dataset offers the opportunity to investigate the impact of rTMS on CUD participants, considering clinical, cognitive, and multimodal MRI metrics in a longitudinal framework.

Cortical and subcortical microstructure integrity changes after repetitive transcranial magnetic stimulation therapy in cocaine use disorder and relates to clinical outcomes.

Cocaine use disorder (CUD) is a worldwide public health condition that is suggested to induce pathological changes in macrostructure and microstructure. Repetitive transcranial magnetic stimulation (rTMS) has gained attention as a potential treatment for CUD symptoms. Here, we sought to elucidate whether rTMS induces changes in white matter (WM) microstructure in frontostriatal circuits after 2 weeks of therapy in patients with CUD and to test whether baseline WM microstructure of the same circuits affects clinical improvement. This study consisted of a 2-week, parallel-group, double-blind, randomized controlled clinical trial (acute phase) (sham [n = 23] and active [n = 27]), in which patients received two daily sessions of rTMS on the left dorsolateral prefrontal cortex (lDLPFC) as an add-on treatment. T1-weighted and high angular resolution diffusion-weighted imaging (DWI-HARDI) at baseline and 2 weeks after served to evaluate WM microstructure. After active rTMS, results showed a significant increase in neurite density compared with sham rTMS in WM tracts connecting lDLPFC with left and right ventromedial prefrontal cortex (vmPFC). Similarly, rTMS showed a reduction in orientation dispersion in WM tracts connecting lDLPFC with the left caudate nucleus, left thalamus, and left vmPFC. Results also showed a greater reduction in craving Visual Analogue Scale (VAS) after rTMS when baseline intra-cellular volume fraction (ICVF) was low in WM tracts connecting left caudate nucleus with substantia nigra and left pallidum, as well as left thalamus with substantia nigra and left pallidum. Our results evidence rTMS-induced WM microstructural changes in fronto-striato-thalamic circuits and support its efficacy as a therapeutic tool in treating CUD. Further, individual clinical improvement may rely on the patient's individual structural connectivity integrity.

Machine learning detects predictors of symptom severity and impulsivity after dialectical behavior therapy skills training group in borderline personality disorder.

Only 50% of the patients with Borderline Personality Disorder (BPD) respond to psychotherapies, such as Dialectical Behavioral Therapy (DBT), this might be increased by identifying baseline predictors of clinical change. We use machine learning to detect clinical features that could predict improvement/worsening for severity and impulsivity of BPD after DBT skills training group. To predict illness severity, we analyzed data from 125 patients with BPD divided into 17 DBT psychotherapy groups, and for impulsiveness we analyzed 89 patients distributed into 12 DBT groups. All patients were evaluated at baseline using widely self-report tests; ∼70% of the sample were randomly selected and two machine learning models (lasso and Random forest [Rf]) were trained using 10-fold cross-validation and compared to predict the post-treatment response. Models' generalization was assessed in ∼30% of the remaining sample. Relevant variables for DBT (i.e. the mindfulness ability "non-judging", or "non-planning" impulsiveness) measured at baseline, were robust predictors of clinical change after six months of weekly DBT sessions. Using 10-fold cross-validation, the Rf model had significantly lower prediction error than lasso for the BPD severity variable, Mean Absolute Error (MAE) lasso - Rf = 1.55 (95% CI, 0.63-2.48) as well as for impulsivity, MAE lasso - Rf = 1.97 (95% CI, 0.57-3.35). According to Rf and the permutations method, 34/613 significant predictors for severity and 17/613 for impulsivity were identified. Using machine learning to identify the most important variables before starting DBT could be fundamental for personalized treatment and disease prognosis.

Evaluation of an anti-stigma intervention for Mexican psychiatric trainees.

BACKGROUND: There is research evidence regarding the presence of stigmatising attitudes in psychiatrists towards people with mental illness, but a lack of studies and interventions focused on this issue in low and middle-income countries. AIMS: To assess the feasibility of implementing an anti-stigma intervention for Mexican psychiatric trainees, and its potential effects. METHODS: This study comprised a pre-post design with outcome measures compared between baseline and 3-month follow-up. Quantitative outcome measures were used to evaluate the potential effects of the intervention, whilst the process evaluation required the collection and analysis of both quantitative and qualitative data. RESULTS: Twenty-nine trainees (25% of those invited) participated in the intervention, of whom 18 also participated in the follow-up assessment. Outcome measures showed the intervention had moderately large effects on reducing stereotypes and the influence of other co-workers on trainees' own attitudes. The main mechanisms of impact identified were recognition of negative attitudes in oneself and colleagues, self-reflection about the impact of stigma, one's own negative attitudes and recognition of one's ability to make change. Participants accepted and were satisfied with the intervention, which many considered should be part of their routine training. However, trainees' work overload and lack of support from the host organisation were identified as barriers to implement the intervention. CONCLUSIONS: A brief anti-stigma intervention for Mexican psychiatric trainees is feasible, potentially effective, well accepted and was considered necessary by participants. This study also suggests mechanisms of impact and mediators should be considered for developing further interventions, contributing to reducing the damaging effects that mental health-related stigma has on people's lives.

Anosognosia in Amnestic Mild Cognitive Impairment Is Related to Diminished Hippocampal Volume Comparable to Alzheimer's Disease Dementia: Preliminary MRI Findings.

Although the presence of anosognosia in amnestic mild cognitive impairment (aMCI) may be predictive of conversion to Alzheimer's disease (AD), little is known about its neural correlates in AD and aMCI. Four different groups were compared using volumetric and diffusion magnetic resonance imaging metrics in regions of interest (hippocampus and cingulum cortex gray matter, cingulum bundle white matter): aMCI subjects with anosognosia (n = 6), aMCI subjects without anosognosia (n = 12), AD subjects with anosognosia (n = 6), and AD subjects without anosognosia (n = 9). aMCI subjects with anosognosia displayed a significantly lower gray matter density (GMD) in the bilateral hippocampus than aMCI subjects without anosognosia, which was accounted for by bilateral hippocampal differences. Furthermore, we identified that the mean hippocampal gray matter density of aMCI subjects with anosognosia was not statistically different than that of AD subjects. The groups of aMCI and AD subjects with anosognosia also displayed a lower GMD in the bilateral cingulum cortex compared to subjects without anosognosia, but these differences were not statistically significant. No statistically significant differences were found in the fractional anisotropy or mean diffusivity of the hippocampus or cingulum between subjects with and without anosognosia in aMCI or AD groups. While these findings are derived from a small population of subjects and are in need of replication, they suggest that anosognosia in aMCI might be a useful clinical marker to suspect brain changes associated with AD neuropathology.

Clinical and Functional Connectivity Outcomes of 5-Hz Repetitive Transcranial Magnetic Stimulation as an Add-on Treatment in Cocaine Use Disorder: A Double-Blind Randomized Controlled Trial.

BACKGROUND: Cocaine use disorder (CUD) is a global condition lacking effective treatment. Repetitive transcranial magnetic stimulation (rTMS) may reduce craving and frequency of cocaine use, but little is known about its efficacy and neural effects. We sought to elucidate short- and long-term clinical benefits of 5-Hz rTMS as an add-on to standard treatment in patients with CUD and discern underlying functional connectivity effects using magnetic resonance imaging. METHODS: A total of 44 patients with CUD were randomly assigned to complete the 2-week double-blind randomized controlled trial (acute phase) (sham [n = 20, 2 female] and active [n = 24, 4 female]), in which they received two daily sessions of rTMS on the left dorsolateral prefrontal cortex (PFC). Subsequently, 20 patients with CUD continued to an open-label maintenance phase for 6 months (two weekly sessions for up to 6 mo). RESULTS: rTMS plus standard treatment for 2 weeks significantly reduced craving (baseline: 3.9 ± 3.6; 2 weeks: 1.5 ± 2.4, p = .013, d = 0.77) and impulsivity (baseline: 64.8 ± 16.8; 2 weeks: 53.1 ± 17.4, p = .011, d = 0.79) in the active group. We also found increased functional connectivity between the left dorsolateral PFC and ventromedial PFC and between the ventromedial PFC and right angular gyrus. Clinical and functional connectivity effects were maintained for 3 months, but they dissipated by 6 months. We did not observe reduction in positive results for cocaine in urine; however, self-reported frequency and grams consumed for 6 months were reduced. CONCLUSIONS: With this randomized controlled trial, we show that 5-Hz rTMS has potential promise as an adjunctive treatment for CUD and merits further research.

Comorbid personality disorders and their impact on severe dissociative experiences in Mexican patients with borderline personality disorder.

Objective: To identify personality disorders comorbid with borderline personality disorder (BPD) that may confer greater risk for the presence of severe dissociative experiences. Method: Three hundred and one outpatients with a primary diagnosis of BPD were evaluated using the Structured Clinical Interview for DSM-IV Axis II personality disorders, the Borderline Evaluation of Severity Over Time (BEST) and the Dissociative Experiences Scale (DES). Results: The most frequent personality disorders comorbid to BPD were paranoid (83.2%, n = 263) and depressive (81.3%, n = 257). The mean BEST and DES total score were 43.3 (SD = 11.4, range 15-69) and 28.6 (SD = 19.8, range 0-98), respectively. We categorized the sample into patients with and without severe dissociative experiences (41% were positive). A logistic regression model revealed that Schizotypal, Obsessive-compulsive and Antisocial personality disorders conferred greater risk for the presence of severe dissociative experiences. Discussion: Our results suggest that a large proportion of patients with BPD present a high rate of severe dissociative experiences and that some clinical factors such as personality comorbidity confer greater risk for severe dissociation, which is related to greater dysfunction and suffering, as well as a worse progression of the BPD.

Identifying cognitive deficits in cocaine dependence using standard tests and machine learning.

There is a growing need to address the variability in detecting cognitive deficits with standard tests in cocaine dependence (CD). The aim of the current study was to identify cognitive deficits by means of Machine Learning (ML) algorithms: Generalized Linear Model (Glm), Random forest (Rf) and Elastic Net (GlmNet), to allow more effective categorization of CD and Non-dependent controls (NDC and to address common methodological problems. For our validation, we used two independent datasets, the first consisted of 87 participants (53 CD and 34 NDC) and the second of 40 participants (20 CD and 20 NDC). All participants were evaluated with neuropsychological tests that included 40 variables assessing cognitive domains. Using results from the cognitive evaluation, the three ML algorithms were trained in the first dataset and tested on the second to classify participants into CD and NDC. While the three algorithms had a receiver operating curve (ROC) performance over 50%, the GlmNet was superior in both the training (ROC = 0.71) and testing datasets (ROC = 0.85) compared to Rf and Glm. Furthermore, GlmNet was capable of identifying the eight main predictors of group assignment (CD or NCD) from all the cognitive domains assessed. Specific variables from each cognitive test resulted in robust predictors for accurate classification of new cases, such as those from cognitive flexibility and inhibition domains. These findings provide evidence of the effectiveness of ML as an approach to highlight relevant sections of standard cognitive tests in CD, and for the identification of generalizable cognitive markers.

Effects of Childhood Maltreatment on Social Cognition and Brain Functional Connectivity in Borderline Personality Disorder Patients.

Borderline personality disorder (BPD) is a chronic condition characterized by high levels of impulsivity, affective instability, and difficulty to establish and manage interpersonal relationships. However, little is known about its etiology and neurobiological substrates. In our study, we wanted to investigate the influence of child abuse in the psychopathology of BPD by means of social cognitive paradigms [the Movie for the Assessment of Social Cognition (MASC) and the reading the mind in the eyes test (RMET)], and resting state functional magnetic resonance imaging (rs-fMRI). For this, we recruited 33 participants, 18 BPD patients, and 15 controls. High levels of self-reported childhood maltreatment were reported by BPD patients. For the sexual abuse subdimension, there were no differences between the BPD and the control groups, but there was a negative correlation between MASC scores and total childhood maltreatment levels, as well as between physical abuse, physical negligence, and MASC. Both groups showed that the higher the level of childhood maltreatment, the lower the performance on the MASC social cognitive test. Further, in the BPD group, there was hypoconnectivity between the structures responsible for emotion regulation and social cognitive responses that have been described as part of the frontolimbic circuitry (i.e., amygdala). Differential levels of connectivity, associated with different types and levels of abuse were also observed.

An overview of repetitive transcranial magnetic stimulation (rTMS) in Alzheimer's disease / La estimulación magnética transcraneal repetitiva (EMTr) como una alternativa de tratamiento en la enfermedad de Alzheimer

Abstract Background Alzheimer's disease (AD) is the most frequent neurocognitive disorder. It affects 50% to 75% of the cases of dementia, and is characterized by a progressive cognitive decline that hinders behavior and functionality. Its etiology is still uncertain, and the efficiency of treatments is limited. Repetitive transcranial magnetic stimulation (rTMS) has been used as an alternative therapeutic strategy, but the clinical impact on Alzheimer's disease has hardly been studied. Objective To describe the effects of rTMS on cognition, the behavioral and psychological symptoms of dementia (BPSD), and functionality, considering the various modes of application. Method The PubMed, ScienceDirect, and PsycInfo databases were consulted using key words relating to the topic of study. Articles published between 2006 and 2016 were selected. Results The studies that have assessed the clinical effect of rTMS have used various parameters to stimulate and compare the different cortical areas, principally the dorsolateral prefrontal cortex. A variety of benefits have been proposed for patients with Alzheimer's disease in cognitive domains such as language and episodic memory, as well as behavior and functionality in everyday activities. Discussion and conclusion rTMS has been suggested as a possible treatment for AD, and the results indicate the need for further studies with different methodological designs and more participants, in addition to cognitive rehabilitation techniques. The objective is to identify the most efficient parameters for stimulation and to explore new cortical targets.

Resumen Antecedentes La enfermedad de Alzheimer (EA) es el trastorno neurocognitivo más frecuente. Afecta de 50 a 75% de los casos de demencia y se caracteriza por un declive cognitivo progresivo que perjudica la conducta y funcionalidad. Su etiología es aún incierta y la eficacia de los tratamientos limitada. La estimulación magnética transcraneal repetitiva (EMTr) se ha utilizado como una estrategia terapéutica alternativa, pero se ha estudiado poco el impacto clínico que tiene en la EA. Objetivo Describir los efectos de la EMTr sobre la cognición y los síntomas psicológicos y conductuales de la demencia (SPCD), así como en la funcionalidad, considerando las diferentes modalidades de aplicación. Método Se consultaron las bases de datos PubMed, ScienceDirect y PsycInfo utilizando palabras clave relacionadas con el tema de estudio. Se seleccionaron los artículos publicados de 2006 a 2016. Resultados Los estudios que han evaluado el efecto clínico de la EMTr han utilizado diferentes parámetros de estimulación y comparaciones de diferentes áreas corticales, principalmente de la corteza prefrontal dorsolateral. Se postulan diferentes beneficios en pacientes con EA en dominios cognitivos como el lenguaje y la memoria episódica, así como en la conducta y en la funcionalidad de las actividades de la vida diaria. Discusión y conclusión La EMTr se ha sugerido como posible tratamiento para la EA. Los resultados favorecen la necesidad de realizar nuevos estudios con diferentes diseños metodológicos y mayor número de participantes, en combinación con técnicas de rehabilitación cognitiva. La perspectiva es identificar los parámetros de estimulación más eficaces y explorar nuevas dianas corticales.

[Validation of the Epworth sleepiness scale in Mexican population]. / Validación de la escala de somnolencia de Epworth en población mexicana.

INTRODUCTION: The Epworth sleepiness scale (ESS) is a widely used instrument in the subjective assessment of sleepiness. Although there are several translations into Spanish, their equivalence to the original version is questionable. OBJECTIVE: To assess the reliability and validity of a true translation into Spanish of the ESS in Mexican population. METHOD: The ESS was translated into Spanish with the use of standard translation methodology: forward translation, back translation and bilingual committee consensus. It was administered to six groups of subjects of the following categories: narcolepsy, obstructive sleep apnea syndrome (OSAS), major depression with OSAS risk, major depression without OSAS risk, good sleepers and insomniac patients without OSAS risk. Internal consistency and factorial structure of the ESS was estimated. In addition, a comparison between groups of the ESS scores was conducted. RESULTS: The ESS showed to be composed by only one factor and it also showed a high reliability coefficient (0.89). Likewise patients with narcolepsy or OSAS had the highest scores while good sleepers obtained the lowest scores. CONCLUSION: The true translation into Spanish of the ESS showed similar psychometric properties to the original version and, superior to previous Spanish adaptations. Therefore, the ESS is a reliable instrument for the assessment of sleepiness in our population.