The glutamate to γ-aminobutyric acid ratio in the posterior insula is associated with pain perception in healthy women but not in women with borderline personality disorder

Plasticity-stability dynamics during post-training processing of learning

Learning continues beyond the end of training. Post-training learning is supported by changes in plasticity and stability in the brain during both wakefulness and sleep. However, the lack of a unified measure for assessing plasticity and stability dynamics during training and post-training periods has limited our understanding of how these dynamics shape learning. Focusing primarily on procedural learning, we integrate work using behavioral paradigms and a recently developed measure, the excitatory-to-inhibitory (E/I) ratio, to explore the delicate balance between plasticity and stability and its relationship to post-training learning. This reveals plasticity-stability cycles during both wakefulness and sleep that enhance learning and protect it from new learning during post-training processing.

Meta-analysis and open-source database for in vivo brain Magnetic Resonance spectroscopy in health and disease

Proton (1H) Magnetic Resonance Spectroscopy (MRS) is a non-invasive tool capable of quantifying brain metabolite concentrations in vivo. Prioritization of standardization and accessibility in the field has led to the development of universal pulse sequences, methodological consensus recommendations, and the development of open-source analysis software packages. One on-going challenge is methodological validation with ground-truth data. As ground-truths are rarely available for in vivo measurements, data simulations have become an important tool. The diverse literature of metabolite measurements has made it challenging to define ranges to be used within simulations. Especially for the development of deep learning and machine learning algorithms, simulations must be able to produce accurate spectra capturing all the nuances of in vivo data. Therefore, we sought to determine the physiological ranges and relaxation rates of brain metabolites which can be used both in data simulations and as reference estimates. Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, we've identified relevant MRS research articles and created an open-source database containing methods, results, and other article information as a resource. Using this database, expectation values and ranges for metabolite concentrations and T2 relaxation times are established based upon a meta-analyses of healthy and diseased brains.

Meta-analysis and Open-source Database for In Vivo Brain Magnetic Resonance Spectroscopy in Health and Disease

Proton ( 1 H) Magnetic Resonance Spectroscopy (MRS) is a non-invasive tool capable of quantifying brain metabolite concentrations in vivo . Prioritization of standardization and accessibility in the field has led to the development of universal pulse sequences, methodological consensus recommendations, and the development of open-source analysis software packages. One on-going challenge is methodological validation with ground-truth data. As ground-truths are rarely available for in vivo measurements, data simulations have become an important tool. The diverse literature of metabolite measurements has made it challenging to define ranges to be used within simulations. Especially for the development of deep learning and machine learning algorithms, simulations must be able to produce accurate spectra capturing all the nuances of in vivo data. Therefore, we sought to determine the physiological ranges and relaxation rates of brain metabolites which can be used both in data simulations and as reference estimates. Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, we've identified relevant MRS research articles and created an open-source database containing methods, results, and other article information as a resource. Using this database, expectation values and ranges for metabolite concentrations and T 2 relaxation times are established based upon a meta-analyses of healthy and diseased brains.

Developmental and Momentary Dynamics in the Onset and Maintenance of Nonsuicidal Self-Injurious Behavior and Borderline Personality Disorder

PURPOSE OF REVIEW

Traditional conceptualizations of both nonsuicidal self-injury (NSSI) and borderline personality disorder (BPD) typically rely on static and unidirectional, linear associations between key biopsychosocial vulnerabilities. Instead, we argue that utilizing a complex dynamic systems view of NSSI and BPD will advance the field, as such conceptual models allow for analysis of bottom-up effects for key vulnerabilities on disorder and behavior emergence, as well as top-down effects of the emergent disorder on underlying vulnerabilities.

RECENT FINDINGS

Following the presentation of a novel framework highlighting momentary and developmental dynamics, we explore several advances in the field that exhibit key dynamic qualities or inform dynamic conceptualizations of NSSI and BPD. At the momentary dynamic level, several advances are being made with multimethod and repeated assessment approaches, as well as advanced bidirectional and complex modeling procedures. Additional progress is being made at the developmental dynamic level, although several questions have arisen regarding the problem of onset and subsequent trajectory, particularly with issues such as pain perception and the interplay between interpersonal, emotional, and behavioral symptoms before and after treatment. Self-injury and BPD both exhibit substantial momentary and developmental dynamics in underlying vulnerabilities, including potential variance in momentary dynamics as a function of psychopathological developmental stage (e.g., onset versus maintenance versus recovery). Recent work has highlighted the necessity of utilizing multimodal research to encapsulate a holistic view of the interplay of several vulnerability factors, the developmental importance of assessment timing, and the need to examine the dynamic interplay between affect, behavior, and interpersonal experiences in BPD and/or NSSI. Research also indicated substantial variation in key vulnerability factors at both between- and within-person levels, highlighting the utility of harnessing statistical models that allow for the simultaneous incorporation of numerous variables at both levels and across several time points. As such, by using a complex dynamic systems conceptualization, we can begin to better understand integrated connections between key vulnerabilities, how they collectively interact in the short term, and how changes in the dynamic interplay between vulnerabilities may arise over the long term and with successful treatment.

Risk Factors for Poor Pain Control in Zoster-Associated Pain: A Retrospective Study

INTRODUCTION

The objective was to investigate the risk factors for poor pain control in patients with herpes zoster (HZ)-associated neuropathic pain treated with drugs combined with nerve block therapy. Neuropathic pain commonly follows HZ. Nerve block therapy is the most commonly used clinical treatment for such pain, combining anti-inflammation and analgesia to prevent peripheral sensitization of nerve.

METHODS

Using clinical practice data from a cohort study at our research center, we established a multivariate logistic regression model to investigate potential risk factors for poor control of zoster-associated pain (ZAP) treated with drugs plus nerve block therapy, including demographic characteristics, complications, laboratory tests, and characteristics of HZ attacks.

RESULTS

Of the 429 patients with ZAP who received drugs plus nerve block therapy, 95 (22.14%) had poor pain control after treatment. The risk of poor pain control was closely related to presence of cancer (odds ratio (OR) 4.173, 95% confidence interval (CI) 1.342-12.970), numerical rating scale score on admission (OR 1.929, 95% CI 1.528-2.434), and red blood cell count (OR 0.560, 95% CI 0.328-0.954). Area under the receiver operator characteristic curve was 0.730. Goodness of fit (Hosmer-Lemeshow) was 0.874.

CONCLUSIONS

The risk of poor pain control in patients with ZAP increased as a result of certain patient characteristics and complications, especially severe pain before treatment and cancer.

Aggression in borderline personality disorder: A systematic review of neuroimaging studies

Aggressive behaviors are prevalent among patients with Borderline Personality Disorder (BPD). Neuroimaging studies have linked aggression in BPD patients to neurochemical, structural, functional, and metabolic alterations in various brain regions, especially in frontal-limbic areas. This systematic review summarizes current neuroimaging results on aggression among BPD patients and provides an overview of relevant brain mechanisms. A systematic search of PubMed and Web of Science databases, in addition to manual check of references, identified thirty-two eligible articles, including two magnetic resonance spectrum (MRS), thirteen structural magnetic resonance imaging (sMRI), six functional magnetic resonance imaging (fMRI), and eleven positron emission tomography (PET) studies. The reviewed studies have highlighted the abnormalities in prefrontal cortices and limbic structures including amygdala and hippocampus. Less studies have zoomed in the roles of parietal and temporal regions or taken a network perspective. Connectivity studies have shed light on the importance of the frontal-limbic interactions in regulating aggression. Conflicted findings might be attributed to disparity in controlling gender, anatomical subdivisions, and comorbidities, which shall be considered in future studies.