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Magnetoencephalographic (MEG) recordings from a large normative cohort (n = 619) were processed to extract measures of regional neuroelectric activity. The overall objective of the effort was to use these measures to identify normative…

Neurons and Cognition · Quantitative Biology 2018-11-20 Don Krieger , Paul Shepard , David O. Okonkwo

Alzheimer's disease (AD) is a neurodegenerative disorder marked by memory loss and cognitive decline, making early detection vital for timely intervention. However, early diagnosis is challenging due to the heterogeneous presentation of…

Neurons and Cognition · Quantitative Biology 2025-09-24 Ali Khazaee , Abdolreza Mohammadi , Ruairi O'Reilly

Data harmonization is the process by which an equivalence is developed between two variables measuring a common trait. Our problem is motivated by dementia research in which multiple tests are used in practice to measure the same underlying…

Methodology · Statistics 2021-10-13 Steven Wilkins-Reeves , Yen-Chi Chen , Kwun Chuen Gary Chan

The increasing prevalence of Autism Spectrum Disorder and Attention-Deficit/ Hyperactivity Disorder among students highlights the need to improve evaluation and diagnostic techniques, as well as effective tools to mitigate the negative…

Computer Vision and Pattern Recognition · Computer Science 2024-01-31 S. Fortea-Sevilla , A. Garcia-Sosa. , P. Morales-Almeida , C. Carmona-Duarte

Background. Alzheimer's disease and related dementia (ADRD) are characterized by multiple and progressive anatomo clinical changes. Yet, modeling changes over disease course from cohort data is challenging as the usual timescales are…

Attention Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders in children and is characterised by inattention, impulsiveness and hyperactivity. While several studies have analysed the static…

Neurons and Cognition · Quantitative Biology 2023-02-17 Rohit Misra , Tapan K. Gandhi

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

Motor dysfunction is a common sign of neurodegenerative diseases (NDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD), but may be difficult to detect, especially in the early stages. In this work, we examine the behavior of a…

Neurons and Cognition · Quantitative Biology 2025-10-23 Thomas Thebaud , Anna Favaro , Casey Chen , Gabrielle Chavez , Laureano Moro-Velazquez , Ankur Butala , Najim Dehak

Early detection of Alzheimer's disease (AD) is crucial because its neurodegenerative effects are irreversible, and neuropathologic and social-behavioral risk factors accumulate years before diagnosis. Identifying higher-risk individuals…

Machine Learning · Computer Science 2025-10-14 Xi Mao , Zhendong Wang , Jingyu Li , Lingchao Mao , Utibe Essien , Hairong Wang , Xuelei Sherry Ni

Autism Spectrum Disorder (ASD) is characterized by an altered phenotype in social interaction and communication. Additionally, autism typically manifests differently in females as opposed to males: a phenomenon that has likely led to…

Neurons and Cognition · Quantitative Biology 2024-05-08 Michelle McCleod , Sean Borneman , Evie Malaia

Accelerometry data has been widely used to measure activity and the circadian rhythm of individuals across the health sciences, in particular with people with advanced dementia. Modern accelerometers can record continuous observations on a…

Cognitive flexibility describes the human ability to switch between modes of mental function to achieve goals. Mental switching is accompanied by transient changes in brain activity, which must occur atop an anatomical architecture that…

Neurons and Cognition · Quantitative Biology 2016-11-29 John D. Medaglia , Weiyu Huang , Elisabeth A. Karuza , Sharon L. Thompson-Schill , Alejandro Ribeiro , Danielle S. Bassett

Progressive cognitive decline spanning across decades is characteristic of Alzheimer's disease (AD). Various predictive models have been designed to realize its early onset and study the long-term trajectories of cognitive test scores…

This study investigates the causal relationships between Clinical Dementia Ratings (CDR) and its six domain scores across two distinct aging datasets: the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Longitudinal Aging Study…

Machine Learning · Computer Science 2024-08-26 Wupadrasta Santosh Kumar , Sayali Rajendra Bhutare , Neelam Sinha , Thomas Gregor Issac

Anatomical and functional brain studies have converged to the hypothesis that Autism Spectrum Disorders (ASD) are associated with atypical connectivity. Using a modified resting-state paradigm to drive subjects' attention, we provide…

Neurons and Cognition · Quantitative Biology 2012-11-21 Pablo Barttfeld , Bruno Wicker , Sebastián Cukier , Silvana Navarta , Sergio Lew , Ramón Leiguarda , Mariano Sigman

Alzheimer's Disease and Related Dementias (AD/ADRD) are progressive neurodegenerative conditions that impair memory, thought processes, and functioning. Family caregivers of individuals with AD/ADRD face significant mental health challenges…

Human-Computer Interaction · Computer Science 2025-11-04 Jiayue Melissa Shi , Keran Wang , Dong Whi Yoo , Ravi Karkar , Koustuv Saha

Cognition in midlife is an important predictor of age-related mental decline and statistical models that predict cognitive performance can be useful for predicting decline. However, existing models struggle to capture complex relationships…

Machine Learning · Computer Science 2021-12-30 Sharath Koorathota , Arunesh Mittal , Richard P. Sloan , Paul Sajda

Background: People with bipolar disorder (BD) tend to show widespread cognitive impairment compared to healthy controls. Impairments in processing speed (PS), attention, and executive function (EF) may represent 'core' impairments that have…

Neurons and Cognition · Quantitative Biology 2023-11-06 Bethany Little , Carly Flowers , Andrew Blamire , Peter Thelwall , John-Paul Taylor , Peter Gallagher , David Andrew Cousins , Yujiang Wang

Driving is a complex daily activity indicating age and disease related cognitive declines. Therefore, deficits in driving performance compared with ones without mild cognitive impairment (MCI) can reflect changes in cognitive functioning.…

Identifying and utilising various biomarkers for tracking Alzheimer's disease (AD) progression have received many recent attentions and enable helping clinicians make the prompt decisions. Traditional progression models focus on extracting…

Machine Learning · Computer Science 2023-11-08 Xulong Wang , Yu Zhang , Menghui Zhou , Tong Liu , Jun Qi , Po Yang