At the Heart of Neurological Dimensionality: Cross-Nosological and Multimodal Cardiac Interoceptive Deficits

Sofia Abrevaya, Sol Fittipaldi, Adolfo M. Garcia, Martin Dottori, Hernando Santamaria-Garcia, Agustina Birba, Adrian Yoris, Malin Katharina Hildebrandt, Paula Salamone, Alethia De La Fuente, Sofia Alarco-Marti, Indira Garcia-Cordero, Miguel Matorrel-Caro, Ricardo Marcos Pautassi, Cecilia Serrano, Lucas Sedeño, Agustin Ibañez

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Objective Neurological nosology, based on categorical systems, has largely ignored dimensional aspects of neurocognitive impairments. Transdiagnostic dimensional approaches of interoception (the sensing of visceral signals) may improve the descriptions of cross-pathological symptoms at behavioral, electrophysiological, and anatomical levels. Alterations of cardiac interoception (encompassing multidimensional variables such as accuracy, learning, sensibility, and awareness) and its neural correlates (electrophysiological markers, imaging-based anatomical and functional connectivity) have been proposed as critical across disparate neurological disorders. However, no study has examined the specific impact of neural (relative to autonomic) disturbances of cardiac interoception or their differential manifestations across neurological conditions. Methods Here, we used a computational approach to classify and evaluate which markers of cardiac interoception (behavioral, metacognitive, electrophysiological, volumetric, or functional) offer the best discrimination between neurological conditions and cardiac (hypertensive) disease (model 1), and among neurological conditions (Alzheimer's disease, frontotemporal dementia, multiple sclerosis, and brain stroke; model 2). In total, the study comprised 52 neurological patients (mean [standard deviation] age = 55.1 [17.3] years; 37 women), 25 cardiac patients (age = 66.2 [9.1] years; 13 women), and 72 healthy controls (age = 52.65 [17.1] years; 50 women). Results Cardiac interoceptive outcomes successfully classified between neurological and cardiac conditions (model 1: >80% accuracy) but not among neurological conditions (model 2: 53% accuracy). Behavioral cardiac interoceptive alterations, although present in all conditions, were powerful in differentiating between neurological and cardiac diseases. However, among neurological conditions, cardiac interoceptive deficits presented more undifferentiated and unspecific disturbances across dimensions. Conclusions Our result suggests a diffuse pattern of interoceptive alterations across neurological conditions, highlighting their potential role as dimensional, transdiagnostic markers.

Original languageEnglish
Pages (from-to)850-861
Number of pages12
JournalPsychosomatic Medicine
Volume82
Issue number9
DOIs
StatePublished - Nov 2020
Externally publishedYes

Keywords

  • AAL = Automated Anatomical Labeling Atlas
  • ACC = anterior cingulate cortex
  • AD = Alzheimer's disease
  • Abbreviations
  • ECG = electrocardiography
  • EEG = electroencephalography
  • FC = functional connectivity
  • HBD = heartbeat detection
  • HEP = heart-evoked potential
  • HR = heart rate
  • MS = multiple sclerosis
  • ST = stroke
  • bvFTD = behavioral variant frontotemporal dementia
  • cardiac interoception
  • dimensional approaches
  • hypertension
  • linear discriminant analysis
  • machine learning
  • neurological diseases

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