%0 Journal Article %J J Alzheimers Dis %D 2018 %T Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology. %A Hampel, Harald %A Toschi, Nicola %A Babiloni, Claudio %A Baldacci, Filippo %A Black, Keith L %A Bokde, Arun L W %A Bun, René S %A Cacciola, Francesco %A Cavedo, Enrica %A Chiesa, Patrizia A %A Colliot, Olivier %A Coman, Cristina-Maria %A Dubois, Bruno %A Duggento, Andrea %A Durrleman, Stanley %A Ferretti, Maria-Teresa %A George, Nathalie %A Genthon, Remy %A Habert, Marie-Odile %A Herholz, Karl %A Koronyo, Yosef %A Koronyo-Hamaoui, Maya %A Lamari, Foudil %A Langevin, Todd %A Lehéricy, Stéphane %A Lorenceau, Jean %A Neri, Christian %A Nisticò, Robert %A Nyasse-Messene, Francis %A Ritchie, Craig %A Rossi, Simone %A Santarnecchi, Emiliano %A Sporns, Olaf %A Verdooner, Steven R %A Vergallo, Andrea %A Villain, Nicolas %A Younesi, Erfan %A Garaci, Francesco %A Lista, Simone %K Alzheimer Disease %K Animals %K Brain %K Humans %K Neurology %K Neurophysiology %K Precision Medicine %K Systems Biology %K Translational Medical Research %X

The Precision Neurology development process implements systems theory with system biology and neurophysiology in a parallel, bidirectional research path: a combined hypothesis-driven investigation of systems dysfunction within distinct molecular, cellular, and large-scale neural network systems in both animal models as well as through tests for the usefulness of these candidate dynamic systems biomarkers in different diseases and subgroups at different stages of pathophysiological progression. This translational research path is paralleled by an "omics"-based, hypothesis-free, exploratory research pathway, which will collect multimodal data from progressing asymptomatic, preclinical, and clinical neurodegenerative disease (ND) populations, within the wide continuous biological and clinical spectrum of ND, applying high-throughput and high-content technologies combined with powerful computational and statistical modeling tools, aimed at identifying novel dysfunctional systems and predictive marker signatures associated with ND. The goals are to identify common biological denominators or differentiating classifiers across the continuum of ND during detectable stages of pathophysiological progression, characterize systems-based intermediate endophenotypes, validate multi-modal novel diagnostic systems biomarkers, and advance clinical intervention trial designs by utilizing systems-based intermediate endophenotypes and candidate surrogate markers. Achieving these goals is key to the ultimate development of early and effective individualized treatment of ND, such as Alzheimer's disease. The Alzheimer Precision Medicine Initiative (APMI) and cohort program (APMI-CP), as well as the Paris based core of the Sorbonne University Clinical Research Group "Alzheimer Precision Medicine" (GRC-APM) were recently launched to facilitate the passageway from conventional clinical diagnostic and drug development toward breakthrough innovation based on the investigation of the comprehensive biological nature of aging individuals. The APMI movement is gaining momentum to systematically apply both systems neurophysiology and systems biology in exploratory translational neuroscience research on ND.

%B J Alzheimers Dis %V 64 %P S47-S105 %8 2018 %G eng %U https://content.iospress.com/download/journal-of-alzheimers-disease/jad179932?id=journal-of-alzheimers-disease%2Fjad179932 %N s1 %1 http://www.ncbi.nlm.nih.gov/pubmed/29562524?dopt=Abstract %R 10.3233/JAD-179932 %0 Journal Article %J J Alzheimers Dis %D 2016 %T Neurophysiological assessment of Alzheimer's disease individuals by a single electroencephalographic marker. %A Lizio, Roberta %A Del Percio, Claudio %A Marzano, Nicola %A Soricelli, Andrea %A Yener, Görsev G %A Başar, Erol %A Mundi, Ciro %A De Rosa, Salvatore %A Triggiani, Antonio Ivano %A Ferri, Raffaele %A Arnaldi, Dario %A Nobili, Flavio Mariano %A Cordone, Susanna %A Lopez, Susanna %A Carducci, Filippo %A Santi, Giulia %A Gesualdo, Loreto %A Rossini, Paolo M %A Cavedo, Enrica %A Mauri, Margherita %A Frisoni, Giovanni B %A Babiloni, Claudio %K Aged %K Alzheimer Disease %K Biomarkers %K Brain Mapping %K Case-Control Studies %K Cognition Disorders %K Electroencephalography %K Female %K Humans %K Italy %K Magnetic Resonance Imaging %K Male %K Middle Aged %K Occipital Lobe %K Rest %K ROC Curve %K Turkey %X

Here we presented a single electroencephalographic (EEG) marker for a neurophysiological assessment of Alzheimer's disease (AD) patients already diagnosed by current guidelines. The ability of the EEG marker to classify 127 AD individuals and 121 matched cognitively intact normal elderly (Nold) individuals was tested. Furthermore, its relationship to AD patients' cognitive status and structural brain integrity was examined. Low-resolution brain electromagnetic tomography (LORETA) freeware estimated cortical sources of resting state eyes-closed EEG rhythms. The EEG marker was defined as the ratio between the activity of parieto-occipital cortical sources of delta (2-4 Hz) and low-frequency alpha (8-10.5 Hz) rhythms. Results showed 77.2% of sensitivity in the recognition of the AD individuals; 65% of specificity in the recognition of the Nold individuals; and 0.75 of area under the receiver-operating characteristic curve. Compared to the AD subgroup with the EEG maker within one standard deviation of the Nold mean (EEG-), the AD subgroup with EEG+ showed lower global cognitive status, as revealed by Mini-Mental State Evaluation score, and more abnormal values of white-matter and cerebrospinal fluid normalized volumes, as revealed by structural magnetic resonance imaging. We posit that cognitive and functional status being equal, AD patients with EEG+ should receive special clinical attention due to a neurophysiological "frailty". EEG+ label can be also used in clinical trials (i) to form homogeneous groups of AD patients diagnosed by current guidelines and (ii) as end-point to evaluate intervention effects.

%B J Alzheimers Dis %V 49 %P 159-77 %8 2016 %G eng %N 1 %1 http://www.ncbi.nlm.nih.gov/pubmed/26444753?dopt=Abstract %R 10.3233/JAD-143042