Does empathy predict altruism in the wild?

Why do people act altruistically? One theory is that empathy is a driver of morality. Experimental studies of this are often confined to laboratory settings, which often lack ecological validity. In the present study we investigated whether empathy traits predict if people will act altruistically in a real-world setting, “in the wild”. We staged a situation in public that was designed to elicit helping, and subsequently measured empathic traits in those who either stopped to help or walked past and did not help. Results show that a higher number of empathic traits are a significant and positive predictor for altruistic behavior in a real-life situation. This supports the theory that the act of doing good is correlated with empathy.     

Can we predict burnout severity from empathy-related brain activity?

Empathy cultivates deeper interpersonal relationships and is important for socialization. However, frequent exposure to emotionally-demanding situations may put people at risk for burnout. Burnout has become a pervasive problem among medical professionals because occupational burnout may be highly sensitive to empathy levels. To better understand empathy-induced burnout among medical professionals, exploring the relationship between burnout severity and strength of empathy-related brain activity may be key. However, to our knowledge, this relationship has not yet been explored. We studied the relationship between self-reported burnout severity scores and psychological measures of empathic disposition, emotional dissonance and alexithymia in medical professionals to test two contradictory hypotheses: Burnout is explained by (1) ‘compassion fatigue'' that is, individuals become emotionally over involved; and (2) ‘emotional dissonance'' that is, a gap between felt and expressed emotion, together with reduced emotional regulation. Then, we tested whether increased or decreased empathy-related brain activity measured by fMRI was associated with burnout severity scores and psychological measures. The results showed that burnout severity of medical professionals is explained by ‘reduced'' empathy-related brain activity. Moreover, this reduced brain activity is correlated with stronger emotional dissonance and alexithymia scores and also greater empathic disposition. We speculate that reduced emotion recognition (that is, alexithymia) might potentially link with stronger emotional dissonance and greater burnout severity alongside empathy-related brain activity. In this view, greater empathic disposition in individuals with higher burnout levels might be due to greater difficulty identifying their own emotional reactions. Our study sheds new light on the ability to predict empathy-induced burnout.     

Does stress damage the brain?

Studies in animals showed that stress results in damage to the hippocampus, a brain area involved in learning and memory, with associated memory deficits. The mechanism involves glucocorticoids and possibly serotonin acting through excitatory amino acids to mediate hippocampal atrophy. Patients with posttraumatic stress disorder (PTSD) from Vietnam combat and childhood abuse had deficits on neuropsychological measures that have been validated as probes of hippocampal function. In addition, magnetic resonance imaging (MRI) showed reduction in volume of the hippocampus in both combat veterans and victims of childhood abuse. In combat veterans, hippocampal volume reduction was correlated with deficits in verbal memory on neuropsychological testing. These studies introduce the possibility that experiences in the form of traumatic stressors can have long-term effects on the structure and function of the brain.     

Does unwantedness of pregnancy predict schizophrenia in the offspring?

BACKGROUND: We sought to replicate (or refute) a previous report of an association between unwantedness of a pregnancy and the risk of schizophrenia in the offspring. METHOD: The study was conducted using a large, prospectively collected birth cohort as part of the Prenatal Determinants of Schizophrenia study (PDS). Attitude toward the pregnancy was assessed at the time of the mother's first visit to the prenatal clinic. Cases of schizophrenia and other schizophrenia spectrum disorders in the offspring of these mothers were subsequently ascertained and diagnosed. In univariate and multivariate analyses, we examined the relationship between attitude toward the pregnancy and risk of adult schizophrenia and other schizophrenia spectrum disorders. RESULTS: The unadjusted hazard ratio for the association between ambivalent or negative maternal attitude toward the pregnancy and the risk of schizophrenia spectrum disorders was 1.75, (95% CI=0.97, 3.17, P=0.06). This result was unchanged after adjustment for social class, paternal age, race/ethnicity and other potential confounders. Similar results were observed when only cases with schizophrenia were included in the analysis. CONCLUSIONS: We did not find a statistically significant association in favor of the hypothesis that unwantedness of pregnancy is a risk factor for adult schizophrenia. On the other hand, the magnitude of the observed association was similar to the findings of the only previous study of this question and the confidence limits overlap those findings. Whether unwantedness of pregnancy is a risk factor for adult schizophrenia remains an open question that may be resolved by future research.     

How does the brain deal with the social world?

It is only relatively recently that the search for the biological basis of social cognition has started. It is still unknown just how biological factors, from genes to brain processes, interact with environmental variables to produce individual differences in social competence and in pathology of social communication. It may seem over-ambitious to work out how connections can be made between sophisticated social behaviour and basic neurophysiological mechanisms. However, examples already exist. The neural basis of social processes such as deception and morality are now being studied by cognitive neuroscientists. In this review, we summarize recent work that has illuminated the neuro-cognitive basis of complex social interaction and communication in humans.     

Narcissists’ social pain seen only in the brain

Narcissism is a complex phenomenon, involving a level of defensive self-enhancement. Narcissists have avoidant attachment styles, maintain distance in relationships and claim not to need others. However, they are especially sensitive to others’ evaluations, needing positive reflected appraisals to maintain their inflated self-views, and showing extreme responses (e.g. aggression) when rejected. The current study tested the hypothesis that narcissists also show hypersensitivity in brain systems associated with distress during exclusion. We measured individual differences in narcissism (Narcissistic Personality Inventory) and monitored neural responses to social exclusion (Cyberball). Narcissism was significantly associated with activity in an a priori anatomically defined social pain network (anterior insula, dorsal anterior cingulate cortex and subgenual anterior cingulate cortex) during social exclusion. Results suggest hypersensitivity to exclusion in narcissists may be a function of hypersensitivity in brain systems associated with distress, and suggests a potential pathway that connects narcissism to negative consequences for longer-term physical and mental health—findings not apparent with self-report alone.     

Does depression in older medical inpatients predict mortality? A systematic review

OBJECTIVE: To determine whether depression in older medical inpatients predicts mortality. METHOD: Medline, PsycINFO, Embase, and the Cochrane Database of Systematic Reviews were searched for potentially relevant articles; the bibliographies of relevant articles were searched for additional references. Retrieved studies were screened to meet five inclusion criteria. Validity of studies was assessed according to four criteria adapted from the Evidence-Based Medicine Working Group. Data were abstracted from each study and tabulated. Data synthesis involved a qualitative meta-analysis. RESULTS: Many of the studies had methodological limitations. Six reported that depression predicted increased mortality, five reported that depression did not predict mortality, and one reported that depression predicted decreased mortality when there was a history of prior depression. Unadjusted risk ratios for death ranged from 0.60 to 12.6; adjusted risk ratios ranged from 0.42 to 7.4. The disparate findings may be explained in part by differences in the proportions of young older patients and men enrolled in the different studies. CONCLUSION: The evidence that depression in older medical inpatients predicts mortality is inconclusive. There is a need for further studies that pay attention to design, populations enrolled, and analysis.     

Does genotype predict phenotype in Rett syndrome?

Mutations in the X-linked gene encoding the methyl-CpG binding protein MeCP2 are the primary cause of classic and atypical Rett syndrome and have recently been shown to contribute to other neurodevelopmental disorders of varying severity. To determine whether there are molecular correlates to the phenotypic heterogeneity, numerous groups have performed genotype-phenotype correlation studies. These studies have yielded conflicting results, in part because they used different criteria for determining severity and classifying mutations. Evolution of the phenotype with age and variable expressivity arising from individual variability in X-chromosome inactivation patterns are among other reasons the findings varied. Nonetheless, evidence of differences in the phenotypic consequences of specific types of mutations is emerging. This review analyzes the available literature and makes recommendations for future studies.     

Mother-child similarity in brain morphology: A comparison of structural characteristics of the brain’s reading network

BackgroundSubstantial evidence acknowledges the complex gene-environment interplay impacting brain development and learning. Intergenerational neuroimaging allows the assessment of familial transfer effects on brain structure, function and behavior by investigating neural similarity in caregiver-child dyads.MethodsNeural similarity in the human reading network was assessed through well-used measures of brain structure (i.e., surface area (SA), gyrification (lG), sulcal morphology, gray matter volume (GMV) and cortical thickness (CT)) in 69 mother-child dyads (children’s age~11 y). Regions of interest for the reading network included left-hemispheric inferior frontal gyrus, inferior parietal lobe and fusiform gyrus. Mother-child similarity was quantified by correlation coefficients and familial specificity was tested by comparison to random adult-child dyads. Sulcal morphology analyses focused on occipitotemporal sulcus interruptions and similarity was assessed by chi-square goodness of fit.ResultsSignificant structural brain similarity was observed for mother-child dyads in the reading network for lG, SA and GMV (r = 0.349/0.534/0.542, respectively), but not CT. Sulcal morphology associations were non-significant. Structural brain similarity in lG, SA and GMV were specific to mother-child pairs. Furthermore, structural brain similarity for SA and GMV was higher compared to CT.ConclusionIntergenerational neuroimaging techniques promise to enhance our knowledge of familial transfer effects on brain development and disorders.     

Does apolipoprotein A1 predict microstructural changes in subgenual cingulum in early Parkinson?

Higher plasma cholesterol levels are associated with lower Parkinson’s disease (PD) risk. Apolipoprotein A-1 (ApoA-1) is a surface marker of brain HDL-like particles associated with the time of PD onset. Clinical correlates of serum Apolipoprotein A1 levels with structural brain connectivity in PD-related disorders remains unclear. Here, we applied a novel diffusion-weighted imaging approach [Diffusion Magnetic Resonance Imaging (MRI) Connectometry] to explore the association between ApoA-1 and structural brain connectivity in PD. Participants involved in this research were recruited from Parkinson’s Progression Markers Initiative (PPMI). Diffusion MRI connectometry was conducted using a multiple regression against apoA-1 for 36 patients with DTI measurements available in the baseline visit. Fiber results of the connectometry were then reconstructed for each patient, and diffusion parameters were extracted and regressed against apoA-1 levels. Connectometry results revealed the subgenual cingulum to be associated with ApoA-1, with different FDR yields. This result was further supported by significant negative correlation of Quantitative Anisotropic (QA) of left subgenual cingulum (Pearson’s coefficient = ?0.398, p = 0.020) and Generalized Fractional Anisotropic (GFA) of right subgenual cingulum (Pearson’s coefficient ?0.457, p = 0.007) with plasma apoA-1 levels, in a multiple regression model with age and sex. The subgenual cingulum encompasses fibers from the anterior cingulate cortex and anterior thalamus. These structures are involved in PD-associated psychosis and executive cognitive decline. We demonstrated for the first time that apoA-1, as a blood marker, can predict microstructural changes in white matter regions in PD patients with undisturbed cognition and mild motor disability.     

Are A3 adenosine receptors expressed in the brain?

An increasing number of reports suggest a role for A3 adenosine receptors (A3ARs) in mediating adenosine action in the central nervous system. However, studies of A3AR localization in the brain have yet to be performed. To provide insights into the central sites of A3AR action, we compared patterns of A1 and A3AR mRNA and binding site expression in the brains of rats, mice and humans. We also assessed whether A3 agonists are selective for A3ARs. Whereas it was possible to detect high-level A1AR expression in many brain regions, it was not possible to detect either A3AR gene or binding site expression in the central nervous system. When we examined the affinities of the A3AR agonists CI-IAB-MECA and IAB-MECA for A1ARs, we found that these compounds bound to A1ARs with high affinity. These observations suggest that studies using A3-agonists need to consider potential effects of A1ARs activation, as A1ARs are abundantly expressed in the nervous system whereas A3AR expression in the brain cannot be directly demonstrated.