bioRxivNeurosciencePreprint
Tuning in together: LSD enhances inter-brain synchrony and felt connectedness in romantic couples
Natasha Leigh MasoniD, Artur CzeszumskiiD, Iva Totomanova, Filip Trbusek, Mauro CavarraiD, Stephanie M. AshtoniD, Stefan W. ToennesiD, Eef Lien TheunisseniD, Johannes T. ReckwegiD, Patricia L. LockwoodiD, Marieke D. DewitteiD, Katrin H. PrelleriD, Kim P. C. KuypersiD, Guillaume DumasiD, Pablo MallaroniiD, Johannes Gerardus RamaekersiD
Abstract
Social connection is fundamental to human wellbeing. Serotonergic psychedelics such as lysergic acid diethylamide (LSD) acutely heighten subjective connectedness, yet their effects on real-time social connection remain poorly understood. Using EEG hyperscanning in a randomized, double-blind, placebo-controlled crossover study, we recorded neural activity simultaneously from both members of healthy romantic couples (N=25) who received LSD (50 g) or placebo together, across resting and interactive states. LSD increased subjective connectedness, including feelings of love, closeness, trust, and being "in sync," while reducing loneliness, compared to placebo. This affiliative shift dissociated from the drugs pharmacokinetic time-course, remaining elevated as subjective intensity and plasma concentration declined. In parallel, LSD increased inter-brain synchrony during shared rest, carried specifically by theta-band amplitude-envelope coupling. Importantly, this effect survived two complementary controls. First, it exceeded coupling between unrelated individuals and second the effects depended on contemporaneous neural alignment rather than shared drug-induced dynamics. Exploratory analyses showed that romantic partners with greater resting synchrony reported greater feelings of connectedness. These findings provide the first evidence that a psychedelic enhances brain-to-brain coupling between people, linking a pharmacologically induced state of felt connection to a measurable signature shared across interacting brains.
- organism: human
- assay: electronic health records
- research focus: cell-cell communication
- approach: statistical model
- Citations
- 0
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