scispace - formally typeset
D

Diego A. Pizzagalli

Researcher at Harvard University

Publications -  393
Citations -  27176

Diego A. Pizzagalli is an academic researcher from Harvard University. The author has contributed to research in topics: Anhedonia & Medicine. The author has an hindex of 74, co-authored 327 publications receiving 21846 citations. Previous affiliations of Diego A. Pizzagalli include Stanford University & McLean Hospital.

Papers
More filters
Journal ArticleDOI

Brain electric correlates of strong belief in paranormal phenomena: intracerebral EEG source and regional Omega complexity analyses.

TL;DR: It is hypothesized that subjects differing in their declared paranormal belief displayed different active, cerebral neural populations during resting, task-free conditions, and believers showed relatively higher right hemispheric activation and reduced hemispherical asymmetry of functional complexity, which constitute the neurophysiological basis for paranormal and schizotypal ideation.
Journal ArticleDOI

Electroencephalography Source Functional Connectivity Reveals Abnormal High-Frequency Communication Among Large-Scale Functional Networks in Depression

TL;DR: Elevations in high-frequency DMN-FPN connectivity may be a neural marker linked to a more recurrent illness course and extend the understanding of the neurophysiological basis of abnormal resting-state functional connectivity in MDD.
Journal ArticleDOI

Evidence of successful modulation of brain activation and subjective experience during reappraisal of negative emotion in unmedicated depression

TL;DR: The lack of group differences suggests that depressed adults can modulate the brain activation and subjective experience elicited by negative pictures when given clear instructions, however, the negative relationship between depression severity and effects of reappraisal on brain activation indicates that group differences may be detectable in larger samples of more severely depressed participants.
Journal ArticleDOI

Asymmetry in Resting Intracortical Activity as a Buffer to Social Threat

TL;DR: The data are the first to show that social context matters when attempting to link individual differences in cortical asymmetry with approach-related cardiovascular and emotional outcomes.