Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances

P Khan, MF Kader, SMR Islam, AB Rahman… - Ieee …, 2021 - ieeexplore.ieee.org
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …

A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease

S El-Sappagh, JM Alonso, SMR Islam, AM Sultan… - Scientific reports, 2021 - nature.com
Alzheimer's disease (AD) is the most common type of dementia. Its diagnosis and
progression detection have been intensively studied. Nevertheless, research studies often …

Hybrid high-order functional connectivity networks using resting-state functional MRI for mild cognitive impairment diagnosis

Y Zhang, H Zhang, X Chen, SW Lee, D Shen - Scientific reports, 2017 - nature.com
Conventional functional connectivity (FC), referred to as low-order FC, estimates temporal
correlation of the resting-state functional magnetic resonance imaging (rs-fMRI) time series …

Functional MRI-specific alterations in frontoparietal network in mild cognitive impairment: an ALE meta-analysis

X Yang, H Wu, Y Song, S Chen, H Ge, Z Yan… - Frontiers in aging …, 2023 - frontiersin.org
Background Mild cognitive impairment (MCI) depicts a transitory phase between healthy
elderly and the onset of Alzheimer's disease (AD) with worsening cognitive impairment …

Chemogenetic stimulation of tonic locus coeruleus activity strengthens the default mode network

EA Oyarzabal, LM Hsu, M Das, THH Chao, J Zhou… - Science …, 2022 - science.org
The default mode network (DMN) of the brain is functionally associated with a wide range of
behaviors. In this study, we used functional magnetic resonance imaging (fMRI), positron …

Involvement of the precuneus/posterior cingulate cortex is significant for the development of Alzheimer's disease: A PET (THK5351, PiB) and resting fMRI study

T Yokoi, H Watanabe, H Yamaguchi… - Frontiers in Aging …, 2018 - frontiersin.org
Background: Imaging studies in Alzheimer's disease (AD) have yet to answer the underlying
questions concerning the relationship among tau retention, neuroinflammation, network …

Radiomic features of hippocampal subregions in Alzheimer's disease and amnestic mild cognitive impairment

F Feng, P Wang, K Zhao, B Zhou, H Yao… - Frontiers in aging …, 2018 - frontiersin.org
Alzheimer's disease (AD) is characterized by progressive dementia, especially in episodic
memory, and amnestic mild cognitive impairment (aMCI) is associated with a high risk of …

Altered functional brain networks in amnestic mild cognitive impairment: a resting-state fMRI study

S Cai, T Chong, Y Peng, W Shen, J Li… - Brain imaging and …, 2017 - Springer
Amnestic mild cognitive impairment MCI (aMCI) has a high progression to Alzheimer's
disease (AD). Recently, resting-state functional MRI (RS-fMRI) has been increasingly …

Structural and functional connectivity abnormalities of the default mode network in patients with Alzheimer's disease and mild cognitive impairment within two …

B Zhou, X Dou, W Wang, H Yao, F Feng, P Wang… - Methods, 2022 - Elsevier
Alzheimer's disease (AD) is a chronic neurodegenerative disease characterized by
progressive dementia, and amnestic mild cognitive impairment (aMCI) has been defined as …

Does resting state functional connectivity differ between mild cognitive impairment and early Alzheimer's dementia?

SM Soman, S Raghavan, PG Rajesh… - Journal of the …, 2020 - Elsevier
Purpose This study aimed to investigate differences in functional connectivity (FC) among
different resting state networks (RSN) in clinically non-progressive mild cognitive impairment …