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Sleep behavior significantly impacts health and acts as an indicator of physical and mental well-being. Monitoring and predicting sleep behavior with ubiquitous sensors may therefore assist in both sleep management and tracking of related…

Machine Learning · Computer Science 2024-01-30 Maryam Khalid , Elizabeth B. Klerman , Andrew W. Mchill , Andrew J. K. Phillips , Akane Sano

In mental health research, it has proven difficult to find measures of brain function that provide reliable indicators of mental health and well-being, including susceptibility to mental health disorders. Recently, a family of data-driven…

Neurons and Cognition · Quantitative Biology 2022-01-27 Nikhil Goyal1 , Dustin Moraczewski , Peter A. Bandettini , Emily S. Finn , Adam G. Thomas

Depression has been the leading cause of mental-health illness worldwide. Major depressive disorder (MDD), is a common mental health disorder that affects both psychologically as well as physically which could lead to loss of lives. Due to…

Computer Vision and Pattern Recognition · Computer Science 2019-09-05 Anupama Ray , Siddharth Kumar , Rutvik Reddy , Prerana Mukherjee , Ritu Garg

Severe traumatic brain injury can lead to disorders of consciousness (DOC) characterized by deficit in conscious awareness and cognitive impairment including coma, vegetative state, minimally consciousness, and lock-in syndrome. Of crucial…

Neurons and Cognition · Quantitative Biology 2013-10-14 Verónica Mäki-Marttunen , Ibai Diez , Jesus M. Cortes , Dante R. Chialvo , Mirta Villarreal

Global brain activity self-organizes into discrete patterns characterized by distinct behavioral observables and modes of information processing. The human thalamocortical system is a densely connected network where local neural activation…

Functional connectivity (FC) has been widely used to study brain network interactions underlying the emerging cognition and behavior of an individual. FC is usually defined as the correlation or partial correlation between brain regions.…

Applications · Statistics 2020-10-27 Gemeng Zhang , Aiying Zhang , Biao Cai , Zhuozhuo Tu , Vince D. Calhoun , Yu-Ping Wang

Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring from measure data, chiefly functional Magnetic Resonance…

Optimization and Control · Mathematics 2017-03-31 Giulia Prando , Mattia Zorzi , Alessandra Bertoldo , Alessandro Chiuso

This paper studies subtypes of restricted, repetitive and stereotypical behaviors (RRBs) in adolescent males with autism spectrum disorder (ASD) from the viewpoint of the dynamics of brain functional connectivities (FCs). Data from the…

Neurons and Cognition · Quantitative Biology 2025-04-23 Gerardo Noriega

Resting-state functional magnetic resonance imaging (rs-fMRI)-derived functional connectivity patterns have been extensively utilized to delineate global functional organization of the human brain in health, development, and…

Quantitative Methods · Quantitative Biology 2020-10-02 Li Xiao , Biao Cai , Gang Qu , Julia M. Stephen , Tony W. Wilson , Vince D. Calhoun , Yu-Ping Wang

The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI) records the temporal dynamics of intrinsic functional networks in the brain. However, existing deep learning methods applied to rs-fMRI either neglect the…

Machine Learning · Computer Science 2021-06-30 Soham Gadgil , Qingyu Zhao , Adolf Pfefferbaum , Edith V. Sullivan , Ehsan Adeli , Kilian M. Pohl

Classification of whole-brain functional connectivity MRI data with convolutional neural networks (CNNs) has shown promise, but the complexity of these models impedes understanding of which aspects of brain activity contribute to…

Neurons and Cognition · Quantitative Biology 2020-05-28 Matthew Leming , John Suckling

Resting-state functional Arterial Spin Labeling (rs-fASL) in clinical daily practice and academic research stay discreet compared to resting-state BOLD. However, by giving direct access to cerebral blood flow maps, rs-fASL leads to…

Neurons and Cognition · Quantitative Biology 2018-11-29 Corouge Isabelle , Corentin Vallée , Pierre Maurel , Isabelle Corouge , Christian Barillot

Autism spectrum disorder (ASD) is one of the major developmental disorders affecting children. Recently, it has been hypothesized that ASD is associated with atypical brain connectivities. A substantial body of researches use Pearson's…

Neurons and Cognition · Quantitative Biology 2019-03-06 Biwei Huang , Kun Zhang , Ruben Sanchez-Romero , Joseph Ramsey , Madelyn Glymour , Clark Glymour

Dynamic networks have been increasingly used to characterize brain connectivity that varies during resting and task states. In such characterizations, a connectivity network is typically measured at each time point for a subject over a…

Methodology · Statistics 2023-03-23 Maoyu Zhang , Biao Cai , Wenlin Dai , Dehan Kong , Hongyu Zhao , Jingfei Zhang

The systemic, metabolic, lifestyle factors have established associations with Alzheimer's Disease (AD) through epidemiologic and AD-specific biomarker studies. Whether colored fundus photography (CFP) contains retinal structural signatures…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Seowung Leem , Yunchao Yang , Adam J. Woods , Ruogu Fang

Alzheimer's disease involves progressive tau accumulation and spread, leading to regional brain atrophy and disruption of large-scale functional networks. While tau propagation and tissue degeneration have been widely modeled, how atrophy…

Network neuroscience shed some light on the functional and structural modifications occurring to the brain associated with the phenomenology of schizophrenia. In particular, resting-state functional networks have helped our understanding of…

Neurons and Cognition · Quantitative Biology 2021-04-30 Rossana Mastrandrea , Fabrizio Piras , Andrea Gabrielli , Nerisa Banaj , Guido Caldarelli , Gianfranco Spalletta , Tommaso Gili

Studies in recent years have demonstrated that neural organization and structure impact an individual's ability to perform a given task. Specifically, individuals with greater neural efficiency have been shown to outperform those with less…

The widespread adoption of social media has heightened interest in its psychological effects, particularly on mental health indicators such as anxiety, depression, loneliness, and sleep quality, as these platforms increasingly influence…

Machine Learning · Computer Science 2026-04-28 Md All Shahria , Sanjeda Dewan Mithila , Touhid Alam , Mohammad Sakib Mahmood , Mahfuza Khatun

Sleep disorder is a serious global public health issue, with cognitive-emotional dysfunction being a core symptom. The analysis of multimodal MRI data provides an effective method for detecting sleep deprivation-induced neural network…

Neurons and Cognition · Quantitative Biology 2025-12-02 Mengyuan Liu , Jing Hu , Zhenzhen Ru , Ruomeng Quan , Xu Zhang , Ning Qiang , Jin Li