At the Heart of Neurological Dimensionality: Cross-Nosological and Multimodal Cardiac Interoceptive Deficits. Issue 9 (November 2020)

• Record Type: Journal Article
• Authors: Abrevaya, Sofía; Fittipaldi, Sol; García, Adolfo M.; Dottori, Martin; Santamaria-Garcia, Hernando; Birba, Agustina; Yoris, Adrián; Hildebrandt, Malin Katharina; Salamone, Paula; De la Fuente, Alethia; Alarco-Martí, Sofía; García-Cordero, Indira; Matorrel-Caro, Miguel; Pautassi, Ricardo Marcos; Serrano, Cecilia; Sedeño, Lucas; Ibáñez, Agustín
• Is Part Of: Psychosomatic medicine. Volume 82:Issue 9(2020)
• Publication Date: 2020-11
• Subjects: cardiac interoception -- neurological diseases -- hypertension -- dimensional approaches -- machine learning -- linear discriminant analysis -- ACC = anterior cingulate cortex -- AD = Alzheimer's disease -- AAL = Automated Anatomical Labeling Atlas -- bvFTD = behavioral variant frontotemporal dementia -- ECG = electrocardiography -- EEG = electroencephalography -- HBD = heartbeat detection -- HEP = heart-evoked potential -- HR = heart rate -- FC = functional connectivity -- MS = multiple sclerosis -- ST = stroke; Medicine, Psychosomatic -- Periodicals; 616.0805
• DOI: 10.1097/PSY.0000000000000868
• Languages: English
• ISSNs: 0033-3174

Abstract

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. Abstract : Supplemental digital content is available in the text.