Their pain is not our pain: Brain and autonomic correlates of empathic resonance with the pain of same and different race individuals

Recent advances in social neuroscience research have unveiled the neurophysiological correlates of race and intergroup processing. However, little is known about the neural mechanisms underlying intergroup empathy. Combining event‐related fMRI with measurements of pupil dilation as an index of autonomic reactivity, we explored how race and group membership affect empathy‐related responses. White and Black subjects were presented with video clips depicting white, black, and unfamiliar violet‐skinned hands being either painfully penetrated by a syringe or being touched by a Q‐tip. Both hemodynamic activity within areas known to be involved in the processing of first and third‐person emotional experiences of pain, i.e., bilateral anterior insula, and autonomic reactivity were greater for the pain experienced by own‐race compared to that of other‐race and violet models. Interestingly, greater implicit racial bias predicted increased activity within the left anterior insula during the observation of own‐race pain relative to other‐race pain. Our findings highlight the close link between group‐based segregation and empathic processing. Moreover, they demonstrate the relative influence of culturally acquired implicit attitudes and perceived similarity/familiarity with the target in shaping emotional responses to others' physical pain. Hum Brain Mapp 34:3168–3181, 2013. © 2012 Wiley Periodicals, Inc.     

Implantation of a completely subcutaneous ICD system: case report of a patient with Brugada syndrome and state of the art

Aims  

Complications of implantable cardioverter-defibrillator (ICD) therapy are often linked to transvenous lead insertion, lead failure, or infections. An entirely subcutaneous ICD system (S-ICD) avoids the need for the placement of electrodes within the heart and can provide clinical advantages.     

Reading disorders in a language with shallow orthography: A multiple single-case study in Italian

Background: This study aimed (i) to verify whether the classical word-naming models developed for English-speaking participants also account for the performance of patients who speak a shallow-orthography language such as Italian, and (ii) to study the effects of word frequency, concreteness, and grammatical class on word naming. Methods & Procedures: A total of 90 Italian aphasic patients participated in two reading tasks. The first task contained four sets of items: (i) concrete nouns (natural objects and artefacts), (ii) abstract nouns, (iii) function words, (iv) morphologically simple legal nonwords. The second task (trisyllabic words with unpredictable stress position) was designed to test reading ability along the lexical route (the position of the major word stress is the only opaque variable in the Italian reading system). The patients' performances on the two tasks were analysed for strong dissociations, and to test the effect of grammatical class, concreteness, word frequency, and item length. The effect of age of acquisition was tested in a subsequent analysis. Outcomes & Results: Reading scores were pathological for all patients. The present sample reflected the entire spectrum of reading impairments: phonological (49), surface (4), undifferentiated (32), and letter-by-letter (5) dyslexia, which is in line with data reported for English-speaking aphasic patients. Only one of the phonological dyslexic patients made semantic errors (a reading impairment compatible with the diagnosis of deep dyslexia). The vast majority of Broca's aphasic patients suffered from phonological dyslexia (76%), while fluent aphasic patients were distributed more evenly across dyslexia types; all four surface dyslexic patients belonged to the fluent aphasia group. Overall, grammatical class (concrete nouns vs function words) had a significant effect on 14 patients (15.6%), concreteness (concrete vs abstract nouns) on 15 (16.7%), and word frequency on 5 (5.6%). Grammatical class and concreteness affected the performance of phonological and undifferentiated dyslexic patients, and seemed not to influence the scores of the surface dyslexic patients. Age of acquisition turned out to have a highly significant effect and may account for most of the lexical effects emerging from the first analysis. Conclusions: The entire spectrum of reading impairments was observed in this group of Italian aphasic patients, thus confirming the validity of contemporary reading models also for shallow-orthography languages. Concreteness and grammatical class effects, present in deep dyslexia, also affected the performance of patients suffering from other types of dyslexia, although both phenomena might derive from a confounding effect of age of acquisition.     

Short- and long-term motor outcome of STN-DBS in Parkinson’s Disease: focus on sex differences

Neurological Sciences - Subthalamic nucleus deep brain stimulation (STN-DBS) is an established treatment for patients with Parkinson’s disease (PD) with motor complications; the contribution...     

The influence of preoperative teres minor muscle fatty degeneration on active external rotation following reverse total shoulder arthroplasty

BackgroundReverse total shoulder arthroplasty (rTSA) improves shoulder elevation in patients treated for cuff tear arthropathy (CTA) or irreparable massive cuff tears. Patient satisfaction can be limited by reduced active external rotation (AER). Rotator cuff muscles that externally rotate the shoulder are infraspinatus and teres minor (TM).AimThe purpose of this study was to assess the correlation between preoperative TM fatty degeneration and postoperative AER after rTSA performed for CTA or irreparable cuff tears.MethodsConstant scores and active range of motion were consecutively collected for 109 shoulders in 97 patients (mean: 75.73 ± 8.94 years; 31 male, 66 female) over a 10-year period. AER was evaluated with the humerus in adduction (AER1) and in abduction. TM muscle atrophy was scored according to Goutallier's classification, assessed on preoperative computed tomography scans.ResultsMultivariate analysis showed that TM fatty infiltration was a predictor of AER1. AER1 decreased by 4.9 degrees preoperatively and by 6.4 degrees at the final follow-up, for each increment in Goutallier grade (P = .02). Postoperatively, AER evaluated with humerus in abduction improved significantly (P < .001), but did not correlate with TM Goutallier grade. At a mean follow-up of 38 months (range: 24 to 96), mean Constant score improved from 20.5 ± 11.1 to 68.4 ± 14.9 (P < .001), as did shoulder active range of motion in all planes including AER1 (P < .001).ConclusionThis is the first study to quantify the inverse correlation between AER and TM Goutallier grade, both preoperatively and after rTSA; this information guides prognosis for patients with TM degeneration undergoing rTSA. Further studies are necessary to have a better understanding and find reliable solutions.Level of evidenceLevel III; Case Series     

Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage

Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderly patients. The ability to predict the functional outcome in these patients can be helpful in supporting treatment decisions and establishing prognostic expectations. We evaluated the performance of a machine learning (ML) model to predict the 6-month functional status in elderly patients with ICH leveraging the predictive value of the clinical characteristics at hospital admission. Data were extracted by a retrospective multicentric database of patients?≥?70 years of age consecutively admitted for the management of spontaneous ICH between January 1, 2014 and December 31, 2019. Relevant demographic, clinical, and radiological variables were selected by a feature selection algorithm (Boruta) and used to build a ML model. Outcome was determined according to the Glasgow Outcome Scale (GOS) at 6 months from ICH: dead (GOS 1), poor outcome (GOS 2–3: vegetative status/severe disability), and good outcome (GOS 4–5: moderate disability/good recovery). Ten features were selected by Boruta with the following relative importance order in the ML model: Glasgow Coma Scale, Charlson Comorbidity Index, ICH score, ICH volume, pupillary status, brainstem location, age, anticoagulant/antiplatelet agents, intraventricular hemorrhage, and cerebellar location. Random forest prediction model, evaluated on the hold-out test set, achieved an AUC of 0.96 (0.94–0.98), 0.89 (0.86–0.93), and 0.93 (0.90–0.95) for dead, poor, and good outcome classes, respectively, demonstrating high discriminative ability. A random forest classifier was successfully trained and internally validated to stratify elderly patients with spontaneous ICH into prognostic subclasses. The predictive value is enhanced by the ability of ML model to identify synergy among variables.

     

Natural course of the vitelliform stage in best vitelliform macular dystrophy: a five-year follow-up study

Graefe's Archive for Clinical and Experimental Ophthalmology - The vitelliform stage is the typical phenotypic manifestation of Best vitelliform macular dystrophy (BVMD). As yet, no study has...     

Posterior box isolation as an adjunctive ablation strategy with the second-generation cryoballoon for paroxysmal atrial fibrillation: a comparison with standard cryoballoon pulmonary vein isolation

Journal of Interventional Cardiac Electrophysiology - The purpose of the study was to evaluate the impact of left atrial posterior wall isolation (LAPWI) in addition to pulmonary vein isolation...