Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Muhammad Naveed Iqbal Qureshi"'
Autor:
Xinyuan Li, Muhammad Naveed Iqbal Qureshi, David P. Laplante, Guillaume Elgbeili, Sherri Lee Jones, Suzanne King, Pedro Rosa-Neto
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
BackgroundStudies have shown that prenatal maternal stress alters volumes of the amygdala and hippocampus, and alters functional connectivity between the amygdala and prefrontal cortex. However, it remains unclear whether prenatal maternal stress (PN
Externí odkaz:
https://doaj.org/article/ecd08ab5ec3e42bf85286a72e3f7ac15
Publikováno v:
Frontiers in Aging Neuroscience, Vol 11 (2019)
Purpose: To perform automatic assessment of dementia severity using a deep learning framework applied to resting-state functional magnetic resonance imaging (rs-fMRI) data.Method: We divided 133 Alzheimer’s disease (AD) patients with clinical demen
Externí odkaz:
https://doaj.org/article/d93315ddce824354b1d0cb1c561d92fb
Autor:
Duc Thanh Nguyen, Seungjun Ryu, Muhammad Naveed Iqbal Qureshi, Min Choi, Kun Ho Lee, Boreom Lee
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0212582 (2019)
BackgroundEarly diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) is essential for timely treatment. Machine learning and multivariate pattern analysis (MVPA) for the diagnosis of brain disorders are explicitly attracting atte
Externí odkaz:
https://doaj.org/article/4057999032cd4b3986ddacc7c5e9e341
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
Multimodal features of structural and functional magnetic resonance imaging (MRI) of the human brain can assist in the diagnosis of schizophrenia. We performed a classification study on age, sex, and handedness-matched subjects. The dataset we used i
Externí odkaz:
https://doaj.org/article/24f7eac800a84efd9398dc1ba2d2ca04
Publikováno v:
Frontiers in Human Neuroscience, Vol 11 (2017)
Externí odkaz:
https://doaj.org/article/bc296b9141224417800e9d3d325630f0
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0160697 (2016)
The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the main research goals of the neuroscience and clinical communities. In this study, we performed multiclass classification using a hierarchical extreme lea
Externí odkaz:
https://doaj.org/article/220ccd9a13a740b9a19149421af98a68
Autor:
Joseph Therriault, Tharick A. Pascoal, Mélissa Savard, Sulantha Mathotaarachchi, Andréa L. Benedet, Mira Chamoun, Cécile Tissot, Firoza Z. Lussier, Nesrine Rahmouni, Jenna Stevenson, Muhammad Naveed Iqbal Qureshi, Min Su Kang, Émilie Thomas, Paolo Vitali, Jean-Paul Soucy, Gassan Massarweh, Paramita Saha-Chaudhuri, Serge Gauthier, Pedro Rosa-Neto
Publikováno v:
Science translational medicine. 14(659)
Alzheimer’s disease (AD) phenotypes might result from differences in selective vulnerability. Evidence from preclinical models suggests that tau pathology has cell-to-cell propagation properties. Therefore, here, we tested the cell-to-cell propagat
Autor:
Pedro Rosa-Neto, Gassan Massarweh, Cecile Tissot, Jenna Stevenson, Jean-Paul Soucy, Melissa Savard, Sulantha Mathotaarachchi, Min Su Kang, Robert Hopewell, Tharick A. Pascoal, Mira Chamoun, Serge Gauthier, Joseph Therriault, Andrea Lessa Benedet, Muhammad Naveed Iqbal Qureshi, Firoza Z. Lussier
Publikováno v:
Brain. 143:2818-2830
Braak stages of tau neurofibrillary tangle accumulation have been incorporated in the criteria for the neuropathological diagnosis of Alzheimer’s disease. It is expected that Braak staging using brain imaging can stratify living individuals accordi
Autor:
Seungjun Ryu, Boreom Lee, Kun Ho Lee, Min Choi, Muhammad Naveed Iqbal Qureshi, Nguyen Thanh Duc
Publikováno v:
Neuroinformatics. 18:71-86
We performed this research to 1) evaluate a novel deep learning method for the diagnosis of Alzheimer’s disease (AD) and 2) jointly predict the Mini Mental State Examination (MMSE) scores of South Korean patients with AD. Using resting-state functi
Publikováno v:
EMBC
This paper proposed a classification framework that integrates hybrid multivoxel pattern analyses (MVPA) and extreme learning machine (ELM) for automated Mild Cognitive Impairment (MCI) diagnosis applied on concatenations of multi-biomarker resting-s