Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks
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 …
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
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 …
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?
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 …
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 …
heterogeneous neurodegenerative disease characterized by progressive behavioural …
Brain MRI analysis using a deep learning based evolutionary approach
Convolutional neural network (CNN) models have recently demonstrated impressive
performance in medical image analysis. However, there is no clear understanding of why …
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
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 …
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 …
disease (EOAD) and behavioral variant frontotemporal dementia (bvFTD). Methods: Thirty …
Contrastive brain network learning via hierarchical signed graph pooling model
Recently, brain networks have been widely adopted to study brain dynamics, brain
development, and brain diseases. Graph representation learning techniques on brain …
development, and brain diseases. Graph representation learning techniques on brain …
Model-based whole-brain perturbational landscape of neurodegenerative diseases
The treatment of neurodegenerative diseases is hindered by lack of interventions capable of
steering multimodal whole-brain dynamics towards patterns indicative of preserved brain …
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
Brain functional connectivity in dementia has been assessed with dissimilar EEG
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …