| Title |
“Small World” architecture in brain connectivity and hippocampal volume in Alzheimer’s disease: a study via graph theory from EEG data
|
|---|---|
| Published in |
Brain Imaging and Behavior, March 2016
|
| DOI | 10.1007/s11682-016-9528-3 |
| Pubmed ID | |
| Authors |
Fabrizio Vecchio, Francesca Miraglia, Francesca Piludu, Giuseppe Granata, Roberto Romanello, Massimo Caulo, Valeria Onofrj, Placido Bramanti, Cesare Colosimo, Paolo Maria Rossini |
| Abstract |
Brain imaging plays an important role in the study of Alzheimer's disease (AD), where atrophy has been found to occur in the hippocampal formation during the very early disease stages and to progress in parallel with the disease's evolution. The aim of the present study was to evaluate a possible correlation between "Small World" characteristics of the brain connectivity architecture-as extracted from EEG recordings-and hippocampal volume in AD patients. A dataset of 144 subjects, including 110 AD (MMSE 21.3) and 34 healthy Nold (MMSE 29.8) individuals, was evaluated. Weighted and undirected networks were built by the eLORETA solutions of the cortical sources' activities moving from EEG recordings. The evaluation of the hippocampal volume was carried out on a subgroup of 60 AD patients who received a high-resolution T1-weighted sequence and underwent processing for surface-based cortex reconstruction and volumetric segmentation using the Freesurfer image analysis software. Results showed that, quantitatively, more correlation was observed in the right hemisphere, but the same trend was seen in both hemispheres. Alpha band connectivity was negatively correlated, while slow (delta) and fast-frequency (beta, gamma) bands positively correlated with hippocampal volume. Namely, the larger the hippocampal volume, the lower the alpha and the higher the delta, beta, and gamma Small World characteristics of connectivity. Accordingly, the Small World connectivity pattern could represent a functional counterpart of structural hippocampal atrophying and related-network disconnection. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 137 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 21% |
| Student > Master | 21 | 15% |
| Researcher | 20 | 14% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 10 | 7% |
| Other | 17 | 12% |
| Unknown | 30 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 28 | 20% |
| Engineering | 22 | 16% |
| Medicine and Dentistry | 15 | 11% |
| Computer Science | 11 | 8% |
| Agricultural and Biological Sciences | 6 | 4% |
| Other | 17 | 12% |
| Unknown | 39 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 June 2023.
All research outputs
#2,862,652
of 25,837,817 outputs
Outputs from Brain Imaging and Behavior
#125
of 1,192 outputs
Outputs of similar age
#43,834
of 315,773 outputs
Outputs of similar age from Brain Imaging and Behavior
#5
of 34 outputs
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.