TY - JOUR
T1 - At the Heart of Neurological Dimensionality
T2 - Cross-Nosological and Multimodal Cardiac Interoceptive Deficits
AU - Abrevaya, Sofia
AU - Fittipaldi, Sol
AU - Garcia, Adolfo M.
AU - Dottori, Martin
AU - Santamaria-Garcia, Hernando
AU - Birba, Agustina
AU - Yoris, Adrian
AU - Hildebrandt, Malin Katharina
AU - Salamone, Paula
AU - De La Fuente, Alethia
AU - Alarco-Marti, Sofia
AU - Garcia-Cordero, Indira
AU - Matorrel-Caro, Miguel
AU - Pautassi, Ricardo Marcos
AU - Serrano, Cecilia
AU - Sedeño, Lucas
AU - Ibañez, Agustin
N1 - Publisher Copyright:
© 2021 Lippincott Williams & Wilkins.
PY - 2020/11
Y1 - 2020/11
N2 - 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.
AB - 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.
KW - AAL = Automated Anatomical Labeling Atlas
KW - ACC = anterior cingulate cortex
KW - AD = Alzheimer's disease
KW - Abbreviations
KW - ECG = electrocardiography
KW - EEG = electroencephalography
KW - FC = functional connectivity
KW - HBD = heartbeat detection
KW - HEP = heart-evoked potential
KW - HR = heart rate
KW - MS = multiple sclerosis
KW - ST = stroke
KW - bvFTD = behavioral variant frontotemporal dementia
KW - cardiac interoception
KW - dimensional approaches
KW - hypertension
KW - linear discriminant analysis
KW - machine learning
KW - neurological diseases
UR - http://www.scopus.com/inward/record.url?scp=85095861999&partnerID=8YFLogxK
U2 - 10.1097/PSY.0000000000000868
DO - 10.1097/PSY.0000000000000868
M3 - Article
C2 - 33003072
AN - SCOPUS:85095861999
SN - 0033-3174
VL - 82
SP - 850
EP - 861
JO - Psychosomatic Medicine
JF - Psychosomatic Medicine
IS - 9
ER -