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Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia
Rossini PM, Miraglia F, Alù F, Cotelli M, Ferreri F, Iorio RD, Iodice F, Vecchio F.. Journal of personalized medicine, 2020-04-30
Topic: Risk, prevention and care in population studies
Neurodegenerative processes of various types of dementia start years before symptoms, but the presence of a "neural reserve", which continuously feeds and supports neuroplastic mechanisms, helps the aging brain to preserve most of its functions within the "normality" frame. Mild cognitive impairment (MCI) is an intermediate stage between dementia and normal brain aging. About 50% of MCI subjects are already in a stage that is prodromal-to-dementia and during the following 3 to 5 years will develop clinically evident symptoms, while the other 50% remains at MCI or returns to normal. If the risk factors favoring degenerative mechanisms are modified during early stages (i.e., in the prodromal), the degenerative process and the loss of abilities in daily living activities will be delayed. It is therefore extremely important to have biomarkers able to identify-in association with neuropsychological tests-prodromal-to-dementia MCI subjects as early as possible. MCI is a large (i.e., several million in EU) and substantially healthy population; therefore, biomarkers should be financially affordable, largely available and non-invasive, but still accurate in their diagnostic prediction. Neurodegeneration initially affects synaptic transmission and brain connectivity; methods exploring them would represent a 1st line screening. Neurophysiological techniques able to evaluate mechanisms of synaptic function and brain connectivity are attracting general interest and are described here. Results are quite encouraging and suggest that by the application of artificial intelligence (i.e., learning-machine), neurophysiological techniques represent valid biomarkers for screening campaigns of the MCI population.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Rossini, P. M., Miraglia, F., Alù, F., Cotelli, M., Ferreri, F., Iorio, R. D., et al. (2020). Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia. Journal of personalized medicine. https://doi.org/10.3390/jpm10020034
Vancouver
Rossini PM, Miraglia F, Alù F, Cotelli M, Ferreri F, Iorio RD, et al. Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia. Journal of personalized medicine. 2020. doi:10.3390/jpm10020034. PMID: 32365890.
BibTeX
@article{rossini2020-32365890,
author = {Rossini, P. M. and Miraglia, F. and Alù, F. and Cotelli, M. and Ferreri, F. and Iorio, R. D. and Iodice, F. and Vecchio, F.},
title = {{Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia}},
journal = {Journal of personalized medicine},
year = {2020},
doi = {10.3390/jpm10020034},
pmid = {32365890},
url = {https://doi.org/10.3390/jpm10020034}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 8 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.
Key findings
- Results are quite encouraging and suggest that by the application of artificial intelligence (i.e., learning-machine), neurophysiological techniques represent valid biomarkers for screening campaigns of the MCI population.
Why it matters
This paper discusses neurophysiological techniques and artificial intelligence as potential biomarkers for screening people with mild cognitive impairment who are at risk of dementia. It is about early detection, not treatment, cure, or prevention.
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Study details
- Evidence strengthLow
How this study scored 44/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of personalized medicine) |
| Journal's citation record | 1 / 4 | Journal of Personalized Medicine: journal h-index 96 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2020 — within 10 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 4 / 7 | Cited 49 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 6.1 citations a year over 8 year(s) since 2020 |
| Impact for its field and year | 3 / 6 | Cited 4.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 3 other studies in this library |
| Still being cited | 2 / 4 | Cited 24 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Fabrizio Vecchio: h-index 61 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | University of Padua: institution h-index 1,158 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 7 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 32365890) |
| Free to read | 2 / 2 | Free to read |
| Total | 44 / 100 | — |
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Read the original
- DOI: 10.3390/jpm10020034
- PubMed: 32365890
- Original source →
- Free full text: Journal of Personalized Medicine →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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