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

Abstract

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Interoception Primes Emotional Processing: Multimodal Evidence from Neurodegeneration

“…For the tapping-priming phase, we used a validated heartbeat detection (HBD) task ( Canales-Johnson et al, 2015 ; García-Cordero et al, 2016 ; Yoris et al, 2017 , 2018 ; Salamone et al, 2018 , 2020 ; Abrevaya et al, 2020 ; Richter et al, 2021 ; Richter and Ibáñez, 2021 ). Participants were required to tap a computer keyboard along with their heartbeats (Intero) or external stimuli (Extero).…”

“…Eye movements or blink artifacts were corrected with independent component analysis ( D. Kim and Kim, 2012 ) and with a visual inspection protocol ( Schandry and Montoya, 1996 ; Dirlich et al, 1997 ; Pollatos and Schandry, 2004 ; Terhaar et al, 2012 ; García-Cordero et al, 2016 , 2017 ; Yoris et al, 2017 , 2018 ; Salamone et al, 2018 ). R-wave values from the ECG signal were identified with a peakfinder function on MATLAB and used to segment continuous hd-EEG data for HEP analysis ( Canales-Johnson et al, 2015 ; García-Cordero et al, 2016 , 2017 ; Yoris et al, 2017 ; Salamone et al, 2018 , 2020 ; Abrevaya et al, 2020 ; Legaz et al, 2020 ; Richter and Ibáñez, 2021 ). To examine the HEP occurring during the facial emotion stimuli presentation, we first segmented continuous EEG into epochs from −200 to 800 ms relative to the onset of facial stimuli (= 0).…”

“…Comparisons of HEP modulations were performed using a 5000 point-by-point Monte Carlo permutation test with bootstrapping ( Manly, 2006 ). This analysis constitutes a robust approach for HEP analyses ( Couto et al, 2014 , 2015 ; Canales-Johnson et al, 2015 ; García-Cordero et al, 2016 , 2017 ; Yoris et al, 2017 , 2018 ; Salamone et al, 2018 , 2020 ; Abrevaya et al, 2020 ; Legaz et al, 2020 ; Richter and Ibáñez, 2021 ), providing a solution for the multiple comparison problems and circumventing Gaussian distribution assumptions ( Nichols and Holmes, 2002 ). To avoid cardiac field artifacts ( Kern et al, 2013 ), we only analyzed time points between 200 and 500 ms, as these time points are proposed to be less affected by cardiac field artifacts ( Dirlich et al, 1997 ; Kern et al, 2013 ; Park et al, 2014 ), and they capture a typical HEP latency ( Pollatos and Schandry, 2004 ; Canales-Johnson et al, 2015 ; Müller et al, 2015 ; Pollatos et al, 2016 ).…”

Systematic Review: Genetic, Neuroimaging, and Fluids Biomarkers for Frontotemporal Dementia Across Latin America Countries

“…Recently, multiple regional research efforts have been developed in LAC countries focused on the use of machine learning for the combination of neuroimaging modalities as well as behavioral/cognitive assessment to a better understanding of different dementias in our region ( 36 , 130 , 215 – 219 ). A multi-feature framework, targeting no one single potential biomarker, but a multilevel combination of measures, tuned by machine learning algorithms robust to assess simultaneously multiple features, supporting redundancy of information, and extracting the main components via progressive feature elimination process, would represent a new-generation promissory approach to target the complex multimodal nature of FTD.…”

The Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat): Driving Multicentric Research and Implementation Science

“…The Biomarker Framework (LAC-BF) will strive to validate complementary affordable biomarkers against the A/T/N framework, focusing on cognitive assessment, eye-tracking, non-invasive peripheral markers (i.e., plasma markers. ), and multimodal neuroimaging (e.g., EEG, MRI, fMRI, DTI) combined with machine- and deep-learning algorithms ( 65 , 66 , 68 , 71 , 82 , 87 , 112 , 126 , 129 – 134 ) and novel theoretical approaches ( 118 , 119 , 135 – 139 ). These unspecific markers can be validated with the measurement and comparison with A/T/N framework's canonical markers.…”