Heart rate variability and interoceptive accuracy predict impaired decision-making in Gambling Disorder

Author:

Moccia Lorenzo12ORCID,Quintigliano Maria3ORCID,Janiri Delfina24ORCID,De Martin Valentina2,Rogier Guyonne3ORCID,Sani Gabriele12ORCID,Janiri Luigi12ORCID,Velotti Patrizia3ORCID,Gallese Vittorio5ORCID,Speranza Anna Maria3ORCID,Di Nicola Marco12ORCID

Affiliation:

1. Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy

2. Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy

3. Department of Dynamic and Clinical Psychology, and Health Studies, Sapienza University of Rome, Italy

4. Department of Psychiatry and Neurology, Sapienza University of Rome, Italy

5. Department of Medicine and Surgery, Unit of Neuroscience, University of Parma, Parma, Italy

Abstract

Abstract Background and aims Gambling Disorder (GD) entails maladaptive patterns of decision-making. Neurophysiological research points out the effect of parasympathetic arousal, including phasic changes in heart rate variability (HRV), and interoceptive accuracy (IA, i.e., the ability to track changes in bodily signals), on decision-making. Nevertheless, scarce evidence is available on their role in GD. This is the first study exploring the impact in GD of respiratory sinus arrhythmia (RSA), an index of HRV, and IA on decision-making, as measured by the Iowa Gambling Task (IGT). Methods Twenty-two patients experiencing problems with slot-machines or video lottery terminals gambling and 22 gender- and age-matched healthy controls (HC) were recruited. A resting ECG was performed before and after the completion of the IGT. IA was assessed throughout the heartbeat detection task. We conducted a MANCOVA to detect the presence of significant differences between groups in RSA reactivity and IA. A linear regression model was adopted to test the effect of factors of interest on IGT scores. Results Patients with GD displayed significantly decreased RSA reactivity (P = 0.002) and IA (P = 0.024) compared to HCs, even after controlling for affective symptoms, age, smoking status, and BMI. According to the linear regression model, cardiac vagal reactivity and IA significantly predict decision-making impairments on the IGT (P = 0.008; P = 0.019). Discussion and conclusions Although the exact pathways linking HRV and IA to impaired decision-making in GD remain to be identified, a broader exploration relying upon an embodiment-informed framework may contribute to shed further light on the clinical phenomenology of the disorder.

Publisher

Akademiai Kiado Zrt.

Subject

Psychiatry and Mental health,Clinical Psychology,General Medicine,Medicine (miscellaneous)

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