Abstract:
:Human decision making is a multidimensional construct, driven by a complex interplay between external factors, internal biases, and computational capacity constraints. Here, we propose a layered approach to experimental design in which multiple tasks-from simple to complex-with additional layers of complexity introduced at each stage are incorporated for investigating decision making. This is demonstrated using tasks involving intertemporal choice between immediate and future prospects. Previous functional magnetic resonance imaging (fMRI) and electroencephalographic (EEG) studies have separately investigated the spatial and temporal neural substrates, respectively, of specific factors underlying decision making. In contrast, we performed simultaneous acquisition of EEG/fMRI data and fusion of both modalities using joint independent component analysis such that: 1) the native temporal/spatial resolutions of either modality is not compromised and 2) fast temporal dynamics of decision making as well as involved deeper striatal structures can be characterized. We show that spatiotemporal neural substrates underlying our proposed complex intertemporal task simultaneously incorporating rewards, costs, and uncertainty of future outcomes can be predicted (using a linear model) from neural substrates of each of these factors, which were separately obtained by simpler tasks. This was not the case for spatial and temporal features obtained separately from fMRI and EEG, respectively. However, certain prefrontal activations in the complex task could not be predicted from activations in simpler tasks, indicating that the assumption of pure insertion has limited validity. Overall, our approach provides a realistic and novel framework for investigating the neural substrates of decision making with high spatiotemporal resolution.
journal_name
IEEE J Biomed Health Informjournal_title
IEEE journal of biomedical and health informaticsauthors
Kyathanahally SP,Franco-Watkins A,Zhang X,Calhoun VD,Deshpande Gdoi
10.1109/JBHI.2016.2590434subject
Has Abstractpub_date
2017-05-01 00:00:00pages
814-825issue
3eissn
2168-2194issn
2168-2208journal_volume
21pub_type
杂志文章abstract::In this paper, a novel formulation for robust surgical planning of robotics-assisted minimally invasive cardiac surgery based on patient-specific preoperative images is proposed. In this context, robustness is quantified in terms of the likelihood of intraoperative collisions and of joint limit violations. The propose...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2315798
更新日期:2015-03-01 00:00:00
abstract:OBJECTIVE:This paper presents a methodology to automatically screen for sleep apnea based on the detection of apnea and hypopnea events in the blood oxygen saturation (SpO2) signal. METHODS:It starts by detecting all desaturations in the SpO2 signal. From these desaturations, a total of 143 time-domain features are ex...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2817368
更新日期:2019-03-01 00:00:00
abstract::Depression is the leading cause of disability, often undiagnosed, and one of the most treatable mood disorders. As such, unobtrusively diagnosing depression is important. Many studies are starting to utilize machine learning for depression sensing from social media and Smartphone data to replace the survey instruments...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2983035
更新日期:2020-11-01 00:00:00
abstract::Many clinical studies have revealed the high biological similarities existing among different skin pathological states. These similarities create difficulties in the efficient diagnosis of skin cancer, and encourage to study and design new intelligent clinical decision support systems. In this sense, gene expression a...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2953978
更新日期:2020-07-01 00:00:00
abstract::In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/jbhi.2012.2234129
更新日期:2013-05-01 00:00:00
abstract::A description of patient conditions should consist of the changes in and combination of clinical measures. Traditional data-processing method and classification algorithms might cause clinical information to disappear and reduce prediction performance. To improve the accuracy of clinical-outcome prediction by using mu...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2357719
更新日期:2015-05-01 00:00:00
abstract::Nuclear atypia scoring is a diagnostic measure commonly used to assess tumor grade of various cancers, including breast cancer. It provides a quantitative measure of deviation in visual appearance of cell nuclei from those in normal epithelial cells. In this paper, we present a novel image-level descriptor for nuclear...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2447008
更新日期:2015-09-01 00:00:00
abstract:GOAL:The purpose of this study was to provide an initial examination of the utility of the Beta Process - Auto Regressive - Hidden Markov Model (BP-AR-HMM) for the prior identification of gait events. A secondary objective was to determine whether the output of the model could be used for classification and prediction ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3028827
更新日期:2020-10-05 00:00:00
abstract::Functional electrical stimulation (FES) provides an effective way for foot drop (FD) correction. To overcome the redundant and blind stimulation problems in the state-of-the-art methods, this study proposes a closed-loop scheme for an adaptive electromyography (EMG)-modulated stimulation profile. The developed method ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.2989747
更新日期:2021-01-01 00:00:00
abstract::Wireless medical sensor networks (MSNs) are a key enabling technology in e-healthcare that allows the data of a patient's vital body parameters to be collected by the wearable or implantable biosensors. However, the security and privacy protection of the collected data is a major unsolved issue, with challenges coming...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2013.2268897
更新日期:2014-01-01 00:00:00
abstract::The Timed-Up-and-Go (TUG) test is a simple clinical tool commonly used to quickly assess the mobility of patients. Researchers have endeavored to automate the test using sensors or motion tracking systems to improve its accuracy and to extract more resolved information about its sub-phases. While some approaches have ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2934342
更新日期:2020-04-01 00:00:00
abstract::Model-based Bayesian frameworks have a common problem in processing electrocardiogram (ECG) signals with sudden morphological changes. This situation often happens in the case of arrhythmias where ECGs do not obey the predefined state models. To solve this problem, in this paper, a model-based Bayesian denoising frame...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2017.2706298
更新日期:2017-11-01 00:00:00
abstract::Chronic obstructive pulmonary disease (COPD) is a lung disease that can be quantified using chest computed tomography scans. Recent studies have shown that COPD can be automatically diagnosed using weakly supervised learning of intensity and texture distributions. However, up till now such classifiers have only been e...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2017.2769800
更新日期:2018-09-01 00:00:00
abstract::Multichannel image registration is an important challenge in medical image analysis. Multichannel images result from modalities such as dual-energy CT or multispectral microscopy. Besides, multichannel feature images can be derived from acquired images, for instance, by applying multiscale feature banks to the origina...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2844361
更新日期:2019-05-01 00:00:00
abstract::We present a flexible, easy-to-expand digital signal processing method for detecting heart rate (HR) for cardiac vibration signals of fiber Bragg grating (FBG) sensor. The FBG-based method of measuring HR is possible to use during the magnetic resonance imaging procedure, which is its unique advantage. Our goal was to...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2392796
更新日期:2015-07-01 00:00:00
abstract:OBJECTIVE:Bi-Frequency Symmetry Difference (BFSD)-EIT can detect, localize and identify unilateral perturbations in symmetric scenes. Here, we test the viability and robustness of BFSD-EIT in stroke diagnosis. METHODS:A realistic 4-layer Finite Element Method (FEM) head model with and without bleed and clot lesions is...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2960862
更新日期:2020-08-01 00:00:00
abstract::We proposed and tested a method to estimate sleep period time (SPT) using electrodermal activity (EDA) signals. Eight healthy subjects and six obstructive sleep apnea patients participated in the experiments. Each subject's EDA signals were measured at the middle and ring fingers of the dominant hand during polysomnog...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2490480
更新日期:2017-01-01 00:00:00
abstract::This paper proposes a novel hybrid network named multiple-feature-branch convolutional bidirectional recurrent neural network (MFB-CBRNN) for myocardial infarction (MI) detection using 12-lead ECGs. The model efficiently combines convolutional neural network-based and recurrent neural network-based structures. Each fe...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2910082
更新日期:2020-02-01 00:00:00
abstract:OBJECTIVE:This paper presents a fast approach to detect QRS complexes based on a simple analysis of the temporal ECG structure. METHODS:The ECG is processed through several steps involving noise removal, feature detection, and feature analysis. The obtained feature set, which holds most of the ECG information while re...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2792404
更新日期:2019-01-01 00:00:00
abstract::The problem of online calibration and recalibration of continuous glucose monitoring (CGM) devices is considered. Two different parametric relations between interstitial and blood glucose are investigated and constructive algorithms to adaptively estimate the parameters within those relations are proposed. One charact...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2341703
更新日期:2015-09-01 00:00:00
abstract::MicroRNAs (miRNAs) are a type of RNAs, which are responsible for monitoring the gene expression values. Recent research asserts that miRNAs form some clustering on chromosomes. The miRNAs belonging to a particular cluster are highly similar in terms of their activity and they are termed as "coregulated" miRNAs. The cu...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2017.2784898
更新日期:2018-09-01 00:00:00
abstract::Recently, the advances in passive brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have shed light on real-world neuromonitoring technologies. However, human variability in the EEG activities hinders the development of practical applications of EEG-based BCI. To tackle this problem, many transfer-l...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2020.3025865
更新日期:2020-09-22 00:00:00
abstract::Fall detection is an important public healthcare problem. Timely detection could enable instant delivery of medical service to the injured. A popular nonintrusive solution for fall detection is based on videos obtained through ambient camera, and the corresponding methods usually require a large dataset to train a cla...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2808281
更新日期:2019-01-01 00:00:00
abstract::The development of the narrow-band imaging (NBI) has been increasing the interest of medical specialists in the study of laryngeal microvascular network to establish diagnosis without biopsy and pathological examination. A possible solution to this challenging problem is presented in this paper, which proposes an auto...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2374975
更新日期:2016-01-01 00:00:00
abstract::The level set based deformable models (LDM) are commonly used for medical image segmentation. However, they rely on a handcrafted curve evolution velocity that needs to be adapted for each segmentation task. The Convolutional Neural Networks (CNN) address this issue by learning robust features in a supervised end-to-e...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2018.2852635
更新日期:2019-05-01 00:00:00
abstract::High costs in health care and everlasting need for quality improvement in care delivery is increasingly becoming the motivating factor for novel predictive studies in health care informatics. Surgical services impact both the operating theatre costs and revenues and play critical role in care quality. Efficiency of su...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2019.2956973
更新日期:2020-07-01 00:00:00
abstract::Glycan structures account for up to 35% of the mass of cardiac sodium ( Nav ) channels. To question whether and how reduced sialylation affects Nav activity and cardiac electrical signaling, we conducted a series of in vitro experiments on ventricular apex myocytes under two different glycosylation conditions, reduced...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2458791
更新日期:2016-09-01 00:00:00
abstract::The development of a system for the automatic, objective, and reliable detection of cough events is a need underlined by the medical literature for years. The benefit of such a tool is clear as it would allow the assessment of pathology severity in chronic cough diseases. Even though some approaches have recently repo...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/jbhi.2013.2239303
更新日期:2013-05-01 00:00:00
abstract::Dynamic Bayesian networks (DBNs) are temporal probabilistic graphical models that model temporal events and their causal and temporal dependencies. Temporal abstraction (TA) is a knowledge-based process that abstracts raw temporal data into higher level interval-based concepts. In this paper, we present an extended DB...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2015.2420534
更新日期:2016-05-01 00:00:00
abstract::This paper presents a novel three-stage blood vessel segmentation algorithm using fundus photographs. In the first stage, the green plane of a fundus image is preprocessed to extract a binary image after high-pass filtering, and another binary image from the morphologically reconstructed enhanced image for the vessel ...
journal_title:IEEE journal of biomedical and health informatics
pub_type: 杂志文章
doi:10.1109/JBHI.2014.2335617
更新日期:2015-05-01 00:00:00