[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 …
Complex brain network analysis and its applications to brain disorders: a survey
It is well known that most brain disorders are complex diseases, such as Alzheimer's
disease (AD) and schizophrenia (SCZ). In general, brain regions and their interactions can …
disease (AD) and schizophrenia (SCZ). In general, brain regions and their interactions can …
Abnormal intrinsic brain functional network dynamics in Parkinson's disease
Abstract See Nieuwhof and Helmich (doi: 10.1093/brain/awx267) for a scientific commentary
on this article. Parkinson's disease is a neurodegenerative disorder characterized by …
on this article. Parkinson's disease is a neurodegenerative disorder characterized by …
[HTML][HTML] Dynamic functional connectivity in Parkinson's disease patients with mild cognitive impairment and normal cognition
The objective was to assess dynamic functional connectivity (FC) and local/global
connectivity in Parkinson's disease (PD) patients with mild cognitive impairment (PD-MCI) …
connectivity in Parkinson's disease (PD) patients with mild cognitive impairment (PD-MCI) …
Can neuroimaging predict dementia in Parkinson's disease?
JH Lanskey, P McColgan, AE Schrag… - Brain, 2018 - academic.oup.com
Dementia in Parkinson's disease affects 50% of patients within 10 years of diagnosis but
there is wide variation in severity and timing. Thus, robust neuroimaging prediction of …
there is wide variation in severity and timing. Thus, robust neuroimaging prediction of …
[HTML][HTML] A radiomics approach to predicting Parkinson's disease by incorporating whole-brain functional activity and gray matter structure
X Cao, X Wang, C Xue, S Zhang, Q Huang… - Frontiers in …, 2020 - frontiersin.org
Parkinson's disease (PD) is a progressive, chronic, and neurodegenerative disorder that is
primarily diagnosed by clinical examinations and magnetic resonance imaging (MRI). In this …
primarily diagnosed by clinical examinations and magnetic resonance imaging (MRI). In this …
Emergent functional network effects in Parkinson disease
The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy,
beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical …
beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical …
[HTML][HTML] Multifractal and entropy-based analysis of delta band neural activity reveals altered functional connectivity dynamics in schizophrenia
Dynamic functional connectivity (DFC) was established in the past decade as a potent
approach to reveal non-trivial, time-varying properties of neural interactions–such as their …
approach to reveal non-trivial, time-varying properties of neural interactions–such as their …
Functional Connectomics and disease progression in drug‐naive Parkinson's disease patients
R De Micco, F Agosta, S Basaia, M Siciliano… - Movement …, 2021 - Wiley Online Library
Background Functional brain connectivity alterations may be detectable even before the
occurrence of brain atrophy, indicating their potential as early markers of pathological …
occurrence of brain atrophy, indicating their potential as early markers of pathological …
Effective brain connectivity extraction by frequency-domain convergent cross-mapping (FDCCM) and its application in Parkinson's disease classification
Objective: Inferring causal or effective connectivity between measured timeseries is crucial
to understanding directed interactions in complex systems. This task is especially …
to understanding directed interactions in complex systems. This task is especially …