scholarly journals Multimodal Biomarkers Quantify Recovery in Autoimmune Autonomic Ganglionopathy

2021 ◽  
Author(s):  
Shiwen Koay ◽  
Ekawat Vichayanrat ◽  
Fion Bremner ◽  
Jalesh N. Panicker ◽  
Bethan Lang ◽  
...  
Keyword(s):  
Autoimmune Autonomic Ganglionopathy ◽  
Multimodal Biomarkers

FACEHBI: A PROSPECTIVE STUDY OF RISK FACTORS, BIOMARKERS AND COGNITION IN A COHORT OF INDIVIDUALS WITH SUBJECTIVE COGNITIVE DECLINE. STUDY RATIONALE AND RESEARCH PROTOCOLS

2016 ◽  
pp. 1-9
Author(s):  
O. Rodriguez-Gomez ◽  
A. Sanabria ◽  
A. Perez-Cordon ◽  
D. Sanchez-Ruiz ◽  
C. Abdelnour ◽  
...  
Keyword(s):  
Risk Factor ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Diffusion Tensor ◽  
Subjective Cognitive Decline ◽  
Long Term Study ◽  
Research Protocols ◽  
Preclinical Ad ◽  
Multimodal Biomarkers

Background: Long-term longitudinal studies with multimodal biomarkers are needed to delve into the knowledge of preclinical AD. Subjective cognitive decline has been proposed as a risk factor for the development of cognitive impairment. Thus, including individuals with SCD in observational studies may be a cost-effective strategy to increase the prevalence of preclinical AD in the sample. Objectives: To describe the rationale, research protocols and baseline characteristics of participants in the Fundació ACE Healthy Brain Initiative (FACEHBI). Design: FACEHBI is a clinical trial (EudraCT: 2014-000798-38) embedded within a long-term observational study of individuals with SCD. Setting: Participants have been recruited at the memory clinic of Fundació ACE (Barcelona) from two different sources: patients referred by a general practitioner and individuals from an Open House Initiative. Participants: 200 individuals diagnosed with SCD with a strictly normal performance in a comprehensive neuropsychological battery. Measurements: Individuals will undergo an extensive neuropsychological protocol, risk factor assessment and a set of multimodal biomarkers including florbetaben PET, structural and functional MRI, diffusion tensor imaging, determination of amyloid species in plasma and neurophthalmologic assessment with optical coherence tomography. Results: Two hundred individuals have been recruited in 15 months. Mean age was 65.9 years; mean MMSE was 29.2 with a mean of 14.8 years of education. Conclusions: FACEHBI is a long-term study of cognition, biomarkers and lifestyle that has been designed upon an innovative symptom-based approach using SCD as target population. It will shed light on the pathophysiology of preclinical AD and the role of SCD as a risk marker for the development of cognitive impairment.

Multimodal Biomarkers to Discriminate Cognitive State

2017 ◽  
Author(s):  
Thomas F. Quatieri ◽  
James R. Williamson
Keyword(s):  
Facial Expression ◽  
Human Performance ◽  
Large Fraction ◽  
Cognitive Status ◽  
Cognitive State ◽  
Cognitive Stress ◽  
Lincoln Laboratory ◽  
Core Components ◽  
Multimodal Biomarkers

Multimodal biomarkers based on behavioral, neurophysiological, and cognitive measurements have recently increased in popularity for the detection of cognitive stress and neurologically based disorders. Such conditions significantly and adversely affect human performance and quality of life in a large fraction of the world’s population. Example modalities used in detection of these conditions include speech, facial expression, physiology, eye tracking, gait, and electroencephalography (EEG). Toward the goal of finding simple, noninvasive means to detect, predict, and monitor cognitive stress and neurological conditions, MIT Lincoln Laboratory is developing biomarkers that satisfy three criteria. First, we seek biomarkers that reflect core components of cognitive status, such as work­ing memory capacity, processing speed, attention, and arousal. Second, and as importantly, we seek biomarkers that reflect timing and coordination relations both within components of each modality and across different modalities. This is based on the hypothesis that neural coordination across different parts of the brain is essential in cognition. An example of timing and coordination within a modality is the set of finely timed and synchronized physiological components of speech production, whereas an example of coordination across modalities is the timing and synchrony that occur between speech and facial expression during speaking. Third, we seek multimodal biomarkers that contribute in a complementary fashion under various channel and background conditions. In this chapter, as an illustration of the biomarker approach, we focus on cognitive stress and the particular case of detecting different cognitive load levels. We also briefly show how similar feature-extraction principles can be applied to a neurological condition through the example of major depressive disorder (MDD). MDD is one of several neuropsychiatric disorders where multimodal biomarkers based on principles of timing and coordination are important for detection (Cummins et al., 2015; Helfer et al., 2014; Quatieri & Malyska, 2012; Trevino, Quatieri, & Malyska, 2011; Williamson, Quatieri, Helfer, Ciccarelli, & Mehta, 2014; Williamson et al., 2013, 2015; Yu, Quatieri, Williamson, & Mundt, 2014).

A comprehensive analysis of the clinical characteristics and laboratory features in 179 patients with autoimmune autonomic ganglionopathy

2020 ◽  
Vol 108 ◽  
pp. 102403 ◽  
Author(s):  
Shunya Nakane ◽  
Akihiro Mukaino ◽  
Osamu Higuchi ◽  
Maeda Yasuhiro ◽  
Koutaro Takamatsu ◽  
...  
Keyword(s):  
Clinical Characteristics ◽  
Comprehensive Analysis ◽  
Autoimmune Autonomic Ganglionopathy ◽  
Laboratory Features

Autoimmune autonomic ganglionopathy: an update on diagnosis and treatment

2018 ◽  
Vol 18 (12) ◽  
pp. 953-965 ◽  
Author(s):  
Shunya Nakane ◽  
Akihiro Mukaino ◽  
Osamu Higuchi ◽  
Mari Watari ◽  
Yasuhiro Maeda ◽  
...  
Keyword(s):  
Diagnosis And Treatment ◽  
Autoimmune Autonomic Ganglionopathy

Case of autoimmune autonomic ganglionopathy manifesting anhidrosis

2017 ◽  
Vol 44 (10) ◽  
pp. 1160-1163 ◽  
Author(s):  
Asuka Yoshifuku ◽  
Koichi Yoneda ◽  
Yusuke Sakiyama ◽  
Osamu Higuchi ◽  
Shunya Nakane ◽  
...  
Keyword(s):  
Autoimmune Autonomic Ganglionopathy
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