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Various forms of self-loss have been described as aspects of mental illness (e.g., depersonalization disorder), but might self-loss also be related to mental health? In this integrative review and proposed organizational framework, we focus on self-transcendent experiences (STEs)—transient mental states marked by decreased self-salience and increased feelings of connectedness. We first identify common psychological constructs that contain a self-transcendent aspect, including mindfulness, flow, peak experiences, mystical-type experiences, and certain positive emotions (e.g., love, awe). We then propose psychological and neurobiological mechanisms that may mediate the effects of STEs based on a review of the extant literature from social psychology, clinical psychology, and affective neuroscience. We conclude with future directions for further empirical research on these experiences.

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Objective:We compared the ability of arterial spin labeling (ASL), an MRI method that measures cerebral blood flow (CBF), to that of FDG-PET in distinguishing patients with Alzheimer disease (AD) from healthy, age-matched controls.Methods: Fifteen patients with AD (mean age 72 Ϯ 6 years, Mini-Mental State Examination score[MMSE] 20 Ϯ 6) and 19 age-matched controls (mean age 68 Ϯ 6 years, MMSE 29 Ϯ 1) underwent structural MRI. Participants were injected with 5 mCi of FDG during pseudocontinuous ASL scan, which was followed by PET scanning. Statistical parametric mapping and regions of interest (ROI) analysis were used to compare the ability of the 2 modalities in distinguishing patients from controls. Similarity between the 2 modalities was further assessed with linear correlation maps of CBF and metabolism to neuropsychological test scores. Results:Good agreement between hypoperfusion and hypometabolism patterns was observed, with overlap primarily in bilateral angular gyri and posterior cingulate. ROI results showed similar scales of functional deficit between patients and controls in both modalities. Both ASL and FDG-PET were able to distinguish neural networks associated with different neuropsychological tests with good overlap between modalities. Conclusions: