Spatio-temporal data mining: A survey of problems and methods
Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …
domains, including climate science, social sciences, neuroscience, epidemiology …
Advances in the development of biomarkers for epilepsy
Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy
remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs …
remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs …
Complexity analysis of EEG, MEG, and fMRI in mild cognitive impairment and Alzheimer's disease: a review
J Sun, B Wang, Y Niu, Y Tan, C Fan, N Zhang, J Xue… - Entropy, 2020 - mdpi.com
Alzheimer's disease (AD) is a degenerative brain disease with a high and irreversible
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …
Computational neurorehabilitation: modeling plasticity and learning to predict recovery
Despite progress in using computational approaches to inform medicine and neuroscience
in the last 30 years, there have been few attempts to model the mechanisms underlying …
in the last 30 years, there have been few attempts to model the mechanisms underlying …
Neuroimaging in schizophrenia
Psychotic disorders are mental illnesses characterized by difficulties in reality testing1.
Schizophrenia is a severe and chronic psychotic disorder with a life time prevalence of …
Schizophrenia is a severe and chronic psychotic disorder with a life time prevalence of …
Using structural MRI to identify bipolar disorders–13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group
Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective
biological markers, such as those based on brain imaging, could aid in clinical management …
biological markers, such as those based on brain imaging, could aid in clinical management …
Sex differences in cognitive decline in subjects with high likelihood of mild cognitive impairment due to Alzheimer's disease
D Sohn, K Shpanskaya, JE Lucas, JR Petrella… - Scientific reports, 2018 - nature.com
Sex differences in Alzheimer's disease (AD) biology and progression are not yet fully
characterized. The goal of this study is to examine the effect of sex on cognitive progression …
characterized. The goal of this study is to examine the effect of sex on cognitive progression …
Epilepsy and its neurobehavioral comorbidities: insights gained from animal models
It is well established that epilepsy is associated with numerous neurobehavioral
comorbidities, with a bidirectional relationship; people with epilepsy have an increased …
comorbidities, with a bidirectional relationship; people with epilepsy have an increased …
Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning
There is growing interest in the potential of neuroimaging to help develop non-invasive
biomarkers in neurodegenerative diseases. In this study, connection-wise patterns of …
biomarkers in neurodegenerative diseases. In this study, connection-wise patterns of …
Biclustering fMRI time series: a comparative study
Background The effectiveness of biclustering, simultaneous clustering of rows and columns
in a data matrix, was shown in gene expression data analysis. Several researchers …
in a data matrix, was shown in gene expression data analysis. Several researchers …