Changes in interoceptive processes following brain stimulation.
Olga PollatosBeate M HerbertSandra MaiThomas KammerPublished in: Philosophical transactions of the Royal Society of London. Series B, Biological sciences (2016)
The processing and perception of individual internal bodily signals (interoception) has been differentiated to comprise different levels and processes involved. The so-called heartbeat-evoked potential (HEP) offers an additional possibility to examine automatic processing of cardiac signals. Knowledge on neural structures potentially supporting different facets of interoception is still sparse. One way to get insights into neuroanatomical function is to manipulate the activity of different brain structures. In this study, we used repetitive transcranial magnetic stimulation (rTMS) and a continuous theta-burst protocol to inhibit specific central locations of the interoceptive network including the right anterior insula and the right somatosensory cortices and assessed effects on interoceptive facets and the HEP in 18 male participants. Main results were that inhibiting anterior insula resulted in a significant decline in cardiac and respiratory interoceptive accuracy (IAc) and in a consistent decrease in perception confidence. Continuous theta-burst stimulation (cTBS) over somatosensory cortices reduced only cardiac IAc and affected perception confidence. Inhibiting right anterior insula and right somatosensory cortices increased interoceptive sensibility and reduced the HEP amplitude over frontocentral locations. Our findings strongly suggest that cTBS is an effective tool to investigate the neural network supporting interoceptive processes.This article is part of the themed issue 'Interoception beyond homeostasis: affect, cognition and mental health'.
Keyphrases
- transcranial magnetic stimulation
- high frequency
- functional connectivity
- resting state
- neural network
- mental health
- left ventricular
- white matter
- transcranial direct current stimulation
- signaling pathway
- healthcare
- randomized controlled trial
- working memory
- heart failure
- high resolution
- machine learning
- multiple sclerosis
- deep learning
- cerebral ischemia
- subarachnoid hemorrhage
- prefrontal cortex