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Bipolar disorder (BD) is closely associated with an increased risk of suicide. However, while the prior work has revealed valuable insight into understanding the behavior of BD patients on social media, little attention has been paid to…

Computation and Language · Computer Science 2023-07-06 Daeun Lee , Sejung Son , Hyolim Jeon , Seungbae Kim , Jinyoung Han

A brain wide association study (BWAS) based on the logistic regression was first developed and applied to a large population of epilepsy patients (168) and healthy controls (136). It was found that the most significant links associated with…

Medical Physics · Physics 2012-09-26 Wei Cheng , Xuejuan Zhang , Ge Tian , Jianfeng Feng , Zhengge Wang , Zhiqiang Zhang , GuangMing Lu

The study of brain morphology changes in normal individuals may capture aspects of functionally-relevant brain aging not fully indicated by gross volumetry. Despite the important role of subcortical brain structures in cognition, the…

Motivation: Characterising the changes in cortical morphology across the lifespan is fundamental for a range of research and clinical applications. Most studies to date have found a monotonic decrease in commonly used morphometrics, such as…

Alterations in structural brain laterality are reported in attention-deficit/hyperactivity disorder (ADHD). However, few studies examined differences within presentations of ADHD. We investigate asymmetry index (AI) across 13 subcortical…

Neurons and Cognition · Quantitative Biology 2020-10-27 Cintya Nirvana Dutta , Pamela K. Douglas , Hernando Ombao

Depression is a common psychiatric disorder, which causes significant patient distress. Bipolar disorder is characterized by mood fluctuations between depression and mania. Unipolar and bipolar depression can be easily confused because of…

Image and Video Processing · Electrical Eng. & Systems 2019-09-02 Marie Zelenina , Diana Prata

To understand multifactorial conditions such as Alzheimers disease (AD) we need brain signatures that predict the impact of multiple pathologies and their interactions. To help uncover the relationships between brain circuits and cognitive…

Quantitative Methods · Quantitative Biology 2018-12-31 Alexandra Badea , Natalie A Delpratt , RJ Anderson , Russell Dibb , Yi Qi , Hongjiang Wei , Chunlei Liu , William C Wetsel , Brian B Avants , Carol Colton

MRI-based entorhinal cortical thickness (eCT) measurements predict cognitive decline in Alzheimer's disease (AD) with low cost and minimal invasiveness. Two prominent imaging paradigms, FreeSurfer (FS) and Advanced Normalization Tools…

Applications · Statistics 2022-04-08 Jesse W. Birchfield , Nicholas J. Tustison , Andrew J. Holbrook

There is increasing evidence on the importance of brain morphology in predicting and classifying mental disorders. However, the vast majority of current shape approaches rely heavily on vertex-wise analysis that may not successfully capture…

Computer Vision and Pattern Recognition · Computer Science 2021-05-26 Yuexuan Wu , Suprateek Kundu , Jennifer S. Stevens , Negar Fani , Anuj Srivastava

A developmental disorder that severely damages communicative and social functions, the Autism Spectrum Disorder (ASD) also presents aspects related to mental rigidity, repetitive behavior, and difficulty in abstract reasoning. More,…

Neural and Evolutionary Computing · Computer Science 2018-11-20 Daniele Q. M. Madureira , Vera Lucia P. S. Caminha , Rogerio Salvini

This work investigates the predictive potential of bipolar electroencephalogram (EEG) recordings towards efficient prediction of poor neurological outcomes. A retrospective design using a hybrid deep learning approach is utilized to…

Signal Processing · Electrical Eng. & Systems 2023-10-09 Hemin Ali Qadir , Naimahmed Nesaragi , Per Steiner Halvorsen , Ilangko Balasingham

A method for the quantitative assessment of spatio-temporal structuring of brain activity is presented. This approach is employed in a longitudinal case study of a child with frontal lobe epilepsy (FLE) and tested against an age-matched…

Medical Physics · Physics 2009-05-26 W. Bunk , T. Aschenbrenner , G. Kluger , S. Springer

Quantification of brain morphology has become an important cornerstone in understanding brain structure. Measures of cortical morphology such as thickness and surface area are frequently used to compare groups of subjects or characterise…

Neurons and Cognition · Quantitative Biology 2020-03-25 Yujiang Wang , Tobias Ludwig , Bethany Little , Joe H Necus , Gavin Winston , Sjoerd B Vos , Jane de Tisi , John S Duncan , Peter N Taylor , Bruno Mota

Quantifying the complex/multifractal organization of the brain signals is crucial to fully understanding the brain processes and structure. In this contribution, we performed the multifractal analysis of the electroencephalographic (EEG)…

13 Subcortical band heterotopia (SBH), also known as doublecortex syndrome, is a 14 malformation of cortical development resulting from mutations in the doublecortin gene 15 (DCX). It is characterized by a lack of migration of cortical…

Cardiovascular diseases (CVD) represent a major health issue in patients with schizophrneia (SCZ) and bipolar disorder (BD), but the exact nature of cardiometabolic (CM) abnormalities involved and the underlying mechanisms remain unclear.…

Genomics · Quantitative Biology 2017-12-06 Hon-Cheong So , Carlos Kwan-Long Chau , Fu-Kiu Ao , Cheuk-Hei Mo , Pak-Chung Sham

PD is linked to faster brain aging. Sex is recognized as an important factor in PD, such that males are twice as likely as females to have the disease and have more severe symptoms and a faster progression rate. Despite previous research,…

Neurons and Cognition · Quantitative Biology 2023-09-20 Iman Beheshti , Samuel Booth , Ji Hyun Ko

Long COVID "brain fog" is a common and debilitating subjective syndrome often associated with persistent cognitive impairment after COVID-19 infection. Here we identify a specific regional brain dysfunction that mediates this cognitive…

Electroencephalography (EEG) is a fundamental modality for cognitive state monitoring in brain-computer interfaces (BCIs). However, it is highly susceptible to intrinsic signal errors and human-induced labeling errors, which lead to label…

Machine Learning · Computer Science 2025-12-15 Hyo-Jeong Jang , Hye-Bin Shin , Seong-Whan Lee

Adaptive behavior, cognition and emotion are the result of a bewildering variety of brain spatiotemporal activity patterns. An important problem in neuroscience is to understand the mechanism by which the human brain's 100 billion neurons…

Neurons and Cognition · Quantitative Biology 2011-05-09 Paul Expert , Renaud Lambiotte , Dante R. Chialvo , Kim Christensen , Henrik Jeldtoft Jensen , David J. Sharp , Federico Turkheimer
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