Non-Clinical Lecturer in Neuroscience of Dementia
- Circuital representation of cognitive function in healthy adults and in Alzheimer-related pathological ageing;
- Stimulation-induced changes in cerebral connectivity;
- Effect of genetic polymorphism on neural structure and function;
- Classificatory accuracy of machine-learning algorithms for the diagnosis of mild cognitive impairment;
- Biological correlates of volumetric MRI indices;
I am currently part of the “Virtual Physiological Human: DementiA Research Enabled by IT” (VPH‑DARE@IT) initiative, funded by the EU Seventh Framework Programme (FP7/2007e2013) under grant agreement no. 601055.
I also work as Sheffield site coordinator for the “Improving the experience of Dementia and Enhancing Active Life” (IDEAL).
De Marco M, Meneghello F, Pilosio C, Rigon J, Venneri A. (2018) Up-regulation of DMN connectivity in mild cognitive impairment via network-based cognitive training. Current Alzheimer Research: in press. DOI: 10.2174/1567205015666171212103323.
De Marco M, Beltrachini L, Biancardi A, Frangi AF, Venneri A. (2017) Machine learning support to individual diagnosis of mild cognitive impairment using multimodal MRI and cognitive assessments. Alzheimer Disease & Associated Disorders: 31(4): 278-286. DOI: 10.1097/wad.0000000000000208
De Marco M, Manca R, Mitolo M, Venneri A. (2017) White matter hyperintensity load modulates brain morphometry and brain connectivity in healthy adults. A neuroplastic mechanism? Neural Plasticity, Article ID 4050536. DOI: 10.1155/2017/4050536
De Marco M, Duzzi D, Meneghello F, Venneri A. (2017) Cognitive efficiency in Alzheimer’s disease is associated with increased occipital connectivity. Journal of Alzheimer’s Disease 57(2): 541-556. DOI: 10.3233/jad-161164
De Marco M, Vallelunga A, Meneghello F, Varma S, Frangi AF, Venneri A, Alzheimer`s Disease Neuroimaging Initiative (2017) ApoE ε4 allele related alterations in hippocampal connectivity in early Alzheimer’s disease support memory performance. Current Alzheimer Research 14(7): 766-777. DOI: 10.2174/1567205014666170206113528
Venneri A, Mitolo M, De Marco M. (2017) The network substrate of confabulatory tendencies in Alzheimer's disease. Cortex 87: 69-79. DOI: 10.1016/j.cortex.2016.08.015
De Marco M, Meneghello F, Duzzi D, Rigon J, Pilosio C, Venneri A. (2016) Cognitive stimulation of the default-mode network modulates functional connectivity in healthy ageing. Brain Research Bulletin 121: 26-41. DOI: 10.1016/j.brainresbull.2015.12.001
Venneri A, Mitolo M, De Marco M. (2016) Paradigm shift: Semantic memory as biomarker for Alzheimer’s disease. Biomarkers in Medicine 10(1): 5-8. DOI: 10.2217/bmm.15.53
De Marco M, Iavarone A, Santoro G, Carlomagno S. (2016) Two day-date processing methods in an autistic savant calendar calculator. Journal of Autism and Developmental Disorders 46(3): 1096-1102. DOI: 10.1007/s10803-015-2626-z
Beltrachini L, De Marco M, Taylor ZA, Lötjönen J, Frangi AF, Venneri A. (2015) Integration of cognitive tests and resting state fMRI indices for the individual identification of Mild Cognitive Impairment prodromal to Alzheimer’s disease. Current Alzheimer Research 12(6): 592-603. DOI: 10.2174/156720501206150716120332
Benavides-Varela S, Burgio F, Meneghello F, De Marco M, Arcara G, Rigon J, Pilosio C, Butterworth B, Venneri A, Semenza C. (2015) Anatomical substrates and neurocognitive predictors of daily numerical abilities in mild cognitive impairment. Cortex 71: 58-67. DOI: 10.1016/j.cortex.2015.05.031
De Marco M, Merico A, Berta G, Segato N, Citton V, Baglione A, Venneri A (2015) Morphometric correlates of dysarthric deficit in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 16(7-8): 464-472. DOI: 10.3109/21678421.2015.1056191
De Marco M, Venneri A. (2015) 'O' blood type is associated with larger grey-matter volumes in the cerebellum. Brain Research Bulletin 116: 1-6. DOI: 10.1016/j.brainresbull.2015.05.005
De Marco M, Clough PJ, Dyer CE, Vince RV, Waby JS, Midgley AW, Venneri A. (2015) Apolipoprotein E ε4 allele modulates the immediate impact of acute exercise on prefrontal function. Behavior Genetics 45(1):106-116. DOI: 10.1007/s10519-014-9675-5
De Marco M, Shanks MF, Venneri A. (2014) Cognitive stimulation: The evidence base for its application in neurodegenerative disease. Current Alzheimer Research 11(5):469-483. DOI: 10.2174/1567205011666140505120145
De Marco M, Venneri A. (2017) Brain Morphometry - Clinical Applications: Alzheimer's Disease. In: G Spalletta, F Piras. T Gili (eds), Brain Morphometry, Springer; Series: Neuromethods. Chapter accepted
De Marco M, Venneri A. (2015) Ethical issues in the use of information and communication technologies in the health care of patients with neurological disorders. In: LP Ligthart, R Prasad, S Pupolin (eds), Neuro-rehabilitation with Brain Interface, Chapter 6, Aalborg (DK), River Publishers. ISBN:978-87-93237-44-5; 978-87-93237-43-8
I contribute as Reviewer to the editorial process of peer-reviewed manuscripts submitted to neuroscience journals.
I completed my BSc studies in Psychology at the University of Trieste (Italy) in September 2006, and obtained a MSc in Neuropsychology at the same university in March 2009. I then joined the Department of Psychology at the University of Hull for my post-graduate studies. I was awarded a Post-Graduate Certificate in Research Training in 2011 and completed a PhD in Cognitive Neuroscience at the University of Sheffield in December 2012. In the two-year period between 2013 and 2014 I worked as post-doctoral researcher at the IRCCS Fondazione San Camillo research hospital in Venice (Italy). I moved back to Sheffield in December 2014 for a three-year post-doc within the Department of Neuroscience. In January 2018, finally, I was appointed to a lectureship.
- I regularly contribute to the University teaching programme for MSc students with lectures on research methodology and basic principles of neuroimaging and data analysis.
- I supervise post-graduate students as part of their MSc thesis projects, and, at the moment, I am co-supervisor of four PhD students.