Results 11 to 20 of about 5,320,256 (311)

Effects of systemic lupus erythematosus on the brain: a systematic review of structural MRI findings and their relationships with cognitive dysfunction

Lupus Science and Medicine
Background Cognitive dysfunction (CD) is highly prevalent in systemic lupus erythematosus (SLE), yet the underlying mechanisms are poorly understood. Neuroimaging utilising advanced MRI metrics may yield mechanistic insights.
Andrea M Knight, Ibrahim Mohamed, Tala El Tal, Justine Ledochowski, Diana Valdés Cabrera, Santiago Eduardo Arciniegas, Stephanie Fevrier   +6 more
doaj   +2 more sources

Baseline structural MRI and plasma biomarkers predict longitudinal structural atrophy and cognitive decline in early Alzheimer’s disease

Alzheimer's Research & Therapy, 2023
Background Crucial to the success of clinical trials targeting early Alzheimer’s disease (AD) is recruiting participants who are more likely to progress over the course of the trials.
Long Xie, Sandhitsu R. Das, L. Wisse, R. Ittyerah, R. de Flores, L. Shaw, Paul Yushkevich, D. Wolk   +7 more
semanticscholar   +1 more source

Improving Structural MRI Preprocessing with Hybrid Transformer GANs

Life, 2023
Magnetic resonance imaging (MRI) is a technique that is widely used in practice to evaluate any pathologies in the human body. One of the areas of interest is the human brain.
Ovidijus Grigas, R. Maskeliūnas, R. Damaševičius   +2 more
semanticscholar   +1 more source

Deep Learning Model for Prediction of Progressive Mild Cognitive Impairment to Alzheimer’s Disease Using Structural MRI

Frontiers in Aging Neuroscience, 2022
Alzheimer’s disease (AD) is an irreversible neurological disorder that affects the vast majority of dementia cases, leading patients to experience gradual memory loss and cognitive function decline.
Khin Wee, B. Y. Lim, Khairunnisa Haiskin, K. A. Saneera, Hemantha Kulathilake, Z. Ong, Y. Hum, S. Dhanalakshmi, Xiang Wu, Xiaowei Zuo   +9 more
semanticscholar   +1 more source

Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning [PDF]

IEEE International Symposium on Biomedical Imaging, 2022
Accurate prediction of knee osteoarthritis (KOA) progression from structural MRI has a potential to enhance disease understanding and support clinical trials.
E. Panfilov, S. Saarakkala, M. Nieminen, A. Tiulpin   +3 more
semanticscholar   +1 more source

Reliability of structural MRI measurements: The effects of scan session, head tilt, inter-scan interval, acquisition sequence, FreeSurfer version and processing stream

NeuroImage, 2021
Background Large-scale longitudinal and multi-centre studies are used to explore neuroimaging markers of normal ageing, and neurodegenerative and mental health disorders.
Emily P. Hedges, M. Dimitrov, Uzma Zahid, Barbara Brito Vega, Shuqing Si, Hannah Dickson, P. McGuire, S. Williams, G. Barker, M. Kempton   +9 more
semanticscholar   +1 more source

Structural MRI Texture Analysis for Detecting Alzheimer’s Disease

Journal of Medical and Biological Engineering, 2023
Alzheimer’s disease (AD) has the highest worldwide prevalence of all neurodegenerative disorders, no cure, and low ratios of diagnosis accuracy at its early stage where treatments have some effect and can give some years of life quality to patients. This
Joana Silva, Bruno C. Bispo, P. Rodrigues   +2 more
semanticscholar   +1 more source

Movement-related artefacts (MR-ART) dataset of matched motion-corrupted and clean structural MRI brain scans

Scientific Data, 2022
Magnetic Resonance Imaging (MRI) provides a unique opportunity to investigate neural changes in healthy and clinical conditions. Its large inherent susceptibility to motion, however, often confounds the measurement.
Ádám Nárai, Petra Hermann, T. Auer, Péter Kemenczky, J. Szalma, István Homolya, Eszter Somogyi, Pál Vakli, B. Weiss, Z. Vidnyánszky   +9 more
semanticscholar   +1 more source

Dual Attention Multi-Instance Deep Learning for Alzheimer’s Disease Diagnosis With Structural MRI

IEEE Transactions on Medical Imaging, 2021
Structural magnetic resonance imaging (sMRI) is widely used for the brain neurological disease diagnosis, which could reflect the variations of brain.
Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang   +4 more
semanticscholar   +1 more source

Advanced brain ageing in adult psychopathology: A systematic review and meta-analysis of structural MRI studies.

Journal of Psychiatric Research, 2022
Evidence suggests that psychopathology is associated with an advanced brain ageing process, typically mapped using machine learning models that predict an individual's age based on structural neuroimaging data.
K. Blake, Ziphozihle Ntwatwa, T. Kaufmann, Dan J Stein, J. Ipser, N. Groenewold   +5 more
semanticscholar   +1 more source