Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks

KA Smitha, K Akhil Raja, KM Arun… - The …, 2017 - journals.sagepub.com
The inquisitiveness about what happens in the brain has been there since the beginning of
humankind. Functional magnetic resonance imaging is a prominent tool which helps in the …

The use of neuroimaging techniques in the early and differential diagnosis of dementia

L Chouliaras, JT O'Brien - Molecular Psychiatry, 2023 - nature.com
Dementia is a leading cause of disability and death worldwide. At present there is no
disease modifying treatment for any of the most common types of dementia such as …

[HTML][HTML] Resting-state connectivity in neurodegenerative disorders: Is there potential for an imaging biomarker?

C Hohenfeld, CJ Werner, K Reetz - NeuroImage: Clinical, 2018 - Elsevier
Biomarkers in whichever modality are tremendously important in diagnosing of disease,
tracking disease progression and clinical trials. This applies in particular for disorders with a …

Imaging and fluid biomarkers in frontotemporal dementia

LH Meeter, LD Kaat, JD Rohrer… - Nature Reviews …, 2017 - nature.com
Frontotemporal dementia (FTD), the second most common type of presenile dementia, is a
heterogeneous neurodegenerative disease characterized by progressive behavioural …

Brain MRI analysis using a deep learning based evolutionary approach

H Shahamat, MS Abadeh - Neural Networks, 2020 - Elsevier
Convolutional neural network (CNN) models have recently demonstrated impressive
performance in medical image analysis. However, there is no clear understanding of why …

Different functional connectivity and network topology in behavioral variant of frontotemporal dementia and Alzheimer's disease: an EEG study

M Yu, AA Gouw, A Hillebrand, BM Tijms, CJ Stam… - Neurobiology of …, 2016 - Elsevier
We investigated whether the functional connectivity and network topology in 69 Alzheimer's
disease (AD), 48 behavioral variant of frontotemporal dementia (bvFTD) patients, and 64 …

Brain network connectivity differs in early-onset neurodegenerative dementia

M Filippi, S Basaia, E Canu, F Imperiale, A Meani… - Neurology, 2017 - AAN Enterprises
Objective: To investigate functional brain network architecture in early-onset Alzheimer
disease (EOAD) and behavioral variant frontotemporal dementia (bvFTD). Methods: Thirty …

Contrastive brain network learning via hierarchical signed graph pooling model

H Tang, G Ma, L Guo, X Fu, H Huang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Recently, brain networks have been widely adopted to study brain dynamics, brain
development, and brain diseases. Graph representation learning techniques on brain …

Model-based whole-brain perturbational landscape of neurodegenerative diseases

YS Perl, S Fittipaldi, CG Campo, S Moguilner, J Cruzat… - Elife, 2023 - elifesciences.org
The treatment of neurodegenerative diseases is hindered by lack of interventions capable of
steering multimodal whole-brain dynamics towards patterns indicative of preserved brain …

[HTML][HTML] Source space connectomics of neurodegeneration: one-metric approach does not fit all

P Prado, S Moguilner, JA Mejía… - Neurobiology of …, 2023 - Elsevier
Brain functional connectivity in dementia has been assessed with dissimilar EEG
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …