Glenolabral Articular Disruption (GLAD) Is Not Associated with Worse Outcomes or Higher Instability Recurrence after Arthroscopic Bankart Repair-A Matched-Pair Analysis.

Background: This study aimed to compare clinical outcomes and recurrence of instability after arthroscopic Bankart repair (ABR) in patients with anterior shoulder instability, with and without a GLAD lesion, while distinguishing between primary and recurrent instability. Methods: Consecutive patients who underwent isolated ABR between January 2012 and December 2021 were included. Patients with a concomitant GLAD lesion were matched in with patients without a GLAD lesion according to the following criteria: age, sex, BMI, follow-up time, and primary versus recurrent instability. At minimum two-year follow-up, the clinical outcome (Rowe score, redislocation rate) and the functional outcome, including the American Shoulder and Elbow Surgeons (ASES) score, Western Ontario Shoulder Instability Index (WOSI), Oxford Shoulder Instability Score (OSIS), satisfaction (1-10 scale, 0 = unsatisfied, 10 = very satisfied), and Visual Analogue Scale (VAS), were compared between groups. Results: In total, 28 patients (14 GLAD vs. 14 Bankart; age: 32.5 ± 13.0 years; sex: 92.9% male; BMI: 24.6 ± 2.2) were included 6.9 ± 2.8 (2-11) years after isolated ABR (follow-up rate 63.6%). Clinical and functional outcome did not differ significantly between patients with versus without GLAD lesions (ASES score: 100 [96.5-100] vs. 97.5 [93.3-100], p = 0.27); WOSI (%): 9.0 [3.7-24.5] vs. 3.8 [0.8-8.9], p = 0.22; Rowe score: 90.0 [75.0-100] vs. 95.0 [78.8-100], p = 0.57; OSIS: 46 [44.7-48] vs. 46 [43.0-48], p = 0.54; satisfaction: 8.9 ± 1.4 vs. 8.0 ± 1.4, p = 0.78; VAS 0 [0-1.3] vs. 0 [0-1.0]. In both groups, two patients (14.3%) reported a redislocation during the observation period. Conclusions: At short- to mid-term follow-up, ABR showed favorable outcomes, low dislocation rates, and high patient satisfaction, regardless of the presence of a GLAD lesion or primary versus recurrent instability. However, follow-up time was heterogeneous, and the follow-up rate was marginal.

Timing of Surgery & Rehabilitation After Multiligamentous Knee Reconstruction.

PURPOSE OF REVIEW: To provide an overview of the current evidence of the timing of surgery and rehabilitation after multiligamentous knee injuries (MLKIs) and offer insights into the ongoing multi-center randomized controlled study, the 'STaR trial'. RECENT FINDINGS: Due to the complexity of the MKLIs, they are usually treated surgically with the goal of either repairing or reconstructing the injured ligaments. Although the current literature on MLKIs is relatively extensive, the consensus on the timing of surgery or rehabilitation following surgery for MLKIs is still lacking. While current literature mostly suggests early treatment, there is also evidence preferring delayed treatment. Furthermore, evidence on the timing of postoperative rehabilitation is limited. Thus, the current multi-center randomized controlled study, the 'STaR trial', is expected to respond to these questions by adding new high-level evidence. The MLKIs are often associated with knee dislocation and constitute a highly complex entity, including concomitant injuries, such as neurovascular, meniscal, and cartilaginous injuries. The treatment of MLKIs usually aims to either repair or reconstruct the injured ligaments, however, there is no general consensus on the timing of surgery or rehabilitation following an MLKI surgery. This current review stresses the need for more high-level research to address the paucity of evidence-based treatment guidelines for the treatment of complex MLKIs.

Investigating Emotional Similarity: A Comment on Riberto, Pobric, and Talmi (2019).

A recent review of the neuroimaging literature on emotional similarity brought to light some of the drawbacks of the latest studies. The authors discussed important methodological considerations for future work in this field, which predominantly involved stimulus selection. In general, we feel that their suggestions are valuable, but we hold that, depending on the specific scientific question(s) under investigation (e.g., individual differences), some of the suggestions may not meaningfully contribute to the scope of the study and might even introduce artificial constraints that could reduce the researchers' ability to discover effects of interest. Here we indicate one way to potentially circumvent such stimulus-related issues in neuroimaging studies and furthermore present a few scenarios in which additional controlling of the stimulus set may not be necessary or possible when investigating individual differences. This commentary serves to supplement the important methodological points raised by the authors by providing a caveat in potentially applying such points to all future experiments investigating emotional similarity.

Linking Personality Traits to Individual Differences in Affective Spaces.

Different individuals respond differently to emotional stimuli in their environment. Therefore, to understand how emotions are represented mentally will ultimately require investigations into individual-level information. Here we tasked participants with freely arranging emotionally charged images on a computer screen according to their subjective emotional similarity (yielding a unique affective space for each participant) and subsequently sought external validity of the layout of the individuals' affective spaces through the five-factor personality model (Neuroticism, Extraversion, Openness to Experience, Agreeableness, Conscientiousness) assessed via the NEO Five-Factor Inventory. Applying agglomerative hierarchical clustering to the group-level affective space revealed a set of underlying affective clusters whose within-cluster dissimilarity, per individual, was then correlated with individuals' personality scores. These cluster-based analyses predominantly revealed that the dispersion of the negative cluster showed a positive relationship with Neuroticism and a negative relationship with Conscientiousness, a finding that would be predicted by prior work. Such results demonstrate the non-spurious structure of individualized emotion information revealed by data-driven analyses of a behavioral task (and validated by incorporating psychological measures of personality) and corroborate prior knowledge of the interaction between affect and personality. Future investigations can similarly combine hypothesis- and data-driven methods to extend such findings, potentially yielding new perspectives on underlying cognitive processes, disease susceptibility, or even diagnostic/prognostic markers for mental disorders involving emotion dysregulation.

The neural representation of an individualized relational affective space.

Humans experience emotions every day. Traditionally, psychology has described emotions through discrete labels (e.g. happy, afraid) or standardized affective dimensions (e.g. valence, arousal), and neuroscience has more recently sought the neurobiological basis of emotions via functional neuroimaging. However, by treating emotions similarly among everyone, we neglect that emotions are individualized; thus the overall relational structure of an individual's emotion information may be vital in understanding how the brain represents emotions. Combining behavioral and functional MRI experiments with similarity analyses, we demonstrate that neural activity patterns in the left insula correspond to the multi-dimensional arrangement of individuals' affective spaces, despite interindividual differences, better than to a group-averaged model of affective space, a standardized valence-arousal space, a semantic category space, and a visual similarity space. This finding suggests that the insula may underlie individual-level affective information processing that is specific to one's own affective states, which offers new opportunities for functional neuroimaging to inform clinical approaches of disorders involving emotion dysregulation.