Defining individual-specific functional neuroanatomy for precision psychiatry

C Gratton, BT Kraus, DJ Greene, EM Gordon… - Biological …, 2020 - Elsevier
Studies comparing diverse groups have shown that many psychiatric diseases involve
disruptions across distributed large-scale networks of the brain. There is hope that functional …

[HTML][HTML] Harmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration

EE Smith, GJ Biessels, F De Guio, FE De Leeuw… - Alzheimer's & Dementia …, 2019 - Elsevier
Introduction Many consequences of cerebrovascular disease are identifiable by magnetic
resonance imaging (MRI), but variation in methods limits multicenter studies and pooling of …

Optimization of VGG16 utilizing the arithmetic optimization algorithm for early detection of Alzheimer's disease

N Deepa, SP Chokkalingam - Biomedical Signal Processing and Control, 2022 - Elsevier
Early detection and prevention of Alzheimer's disease (AD) is an important and challenging
task. Determining a precise and accurate diagnosis of Alzheimer's disease in its early stages …

Functional connectivity and mild behavioral impairment in dementia‐free elderly

M Ghahremani, S Nathan, EE Smith… - … Research & Clinical …, 2023 - Wiley Online Library
Background Mild behavioral impairment (MBI) is a syndrome that uses later‐life emergent
and persistent neuropsychiatric symptoms (NPS) to identify a group at high risk for incident …

[HTML][HTML] Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets

M Camacho, M Wilms, P Mouches, H Almgren… - NeuroImage: Clinical, 2023 - Elsevier
Introduction Parkinson's disease (PD) is a severe neurodegenerative disease that affects
millions of people. Early diagnosis is important to facilitate prompt interventions to slow …

Evidence of a relation between hippocampal volume, white matter hyperintensities, and cognition in subjective cognitive decline and mild cognitive impairment

M Caillaud, C Hudon, B Boller… - The Journals of …, 2020 - academic.oup.com
Objective The concepts of mild cognitive impairment (MCI) and subjective cognitive decline
(SCD) have been proposed to identify individuals in the early stages of Alzheimer's disease …

[HTML][HTML] White matter hyperintensity distribution differences in aging and neurodegenerative disease cohorts

M Dadar, S Mahmoud, M Zhernovaia, R Camicioli… - NeuroImage: Clinical, 2022 - Elsevier
Abstract Introduction White matter hyperintensities (WMHs) are common magnetic
resonance imaging (MRI) findings in the aging population in general, as well as in patients …

Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data

R Souza, M Wilms, M Camacho, GB Pike… - Journal of the …, 2023 - academic.oup.com
Objective This work investigates if deep learning (DL) models can classify originating site
locations directly from magnetic resonance imaging (MRI) scans with and without correction …

Olfactory dysfunction predicts disease progression in Parkinson's disease: a longitudinal study

R He, Y Zhao, Y He, Y Zhou, J Yang, X Zhou… - Frontiers in …, 2020 - frontiersin.org
Background and Objective: Olfactory dysfunction (hyposmia) is an important non-motor
symptom of Parkinson's disease (PD). To investigate the potential prognostic value of …

The effect of physical exercise on functional brain network connectivity in older adults with and without cognitive impairment. A systematic review

NW Bray, F Pieruccini-Faria, R Bartha… - Mechanisms of Ageing …, 2021 - Elsevier
Introduction Neurodegeneration is a biproduct of aging that results in concomitant cognitive
decline. Physical exercise is an emerging intervention to improve brain health. The …