functional brain connectivity

Functional cortical source connectivity of resting state electroencephalographic alpha rhythms shows similar abnormalities in patients with mild cognitive impairment due to Alzheimer's and Parkinson's diseases

Objective: This study tested the hypothesis that markers of functional cortical source connectivity of resting
state eyes-closed electroencephalographic (rsEEG) rhythms may be abnormal in subjects with mild
cognitive impairment due to Alzheimer’s (ADMCI) and Parkinson’s (PDMCI) diseases compared to healthy
elderly subjects (Nold).
Methods: rsEEG data had been collected in ADMCI, PDMCI, and Nold subjects (N = 75 for any group).
eLORETA freeware estimated functional lagged linear connectivity (LLC) from rsEEG cortical sources.

Abnormalities of resting-state functional cortical connectivity in patients with dementia due to Alzheimer's and Lewy body diseases: an EEG study

Previous evidence showed abnormal posterior sources of resting-state delta ( rhythms in patients with Alzheimer’s disease with dementia (ADD), Parkinson’s disease with dementia
(PDD), and Lewy body dementia (DLB), as cortical neural synchronization markers in quiet wakefulness.
Here, we tested the hypothesis of additional abnormalities in functional cortical connectivity computed
in those sources, in ADD, considered as a “disconnection cortical syndrome”, in comparison with PDD

Abnormalities of functional cortical source connectivity of resting-state electroencephalographic alpha rhythms are similar in patients with mild cognitive impairment due to Alzheimer's and Lewy body diseases

Previous evidence has shown different resting-state eyes-closed electroencephalographic delta (

Levodopa may affect cortical excitability in Parkinson's disease patients with cognitive deficits as revealed by reduced activity of cortical sources of resting state electroencephalographic rhythms

We hypothesized that dopamine neuromodulation might affect cortical excitability in Parkinson's disease (PD) patients set in quiet wakefulness, as revealed by resting state eyes-closed electroencephalographic (rsEEG) rhythms at alpha frequencies (8–12 Hz). Clinical and rsEEG rhythms in PD with dementia (N = 35), PD with mild cognitive impairment (N = 50), PD with normal cognition (N = 35), and normal (N = 50) older adults were available from an international archive. Cortical rsEEG sources were estimated by exact low-resolution brain electromagnetic tomography.

Motifs analysis-based indices to discover brain network architecture

Motifs are small recurring meso-scale structures characterizing real networks. Studies in literature investigated network motifs focusing only on their frequency spectrum. In the present work, we propose to study functional brain networks by means of motifs analysis, going beyond the identification of brain network-characterizing motifs. Indeed, we defined and implemented new indices based on motifs analysis and we applied this approach to better understand the architecture of brain networks after stroke.