Toschi, Nicola

A Path Toward Precision Medicine for Neuroinflammatory Mechanisms in Alzheimer's Disease

Hampel, H., Caraci, F., Cuello, A. C., Caruso, G., Nisticò, R., Corbo, M., Baldacci, F., Toschi, N., Garaci, F., Chiesa, P. A., et al. (2020) · Frontiers in Immunology

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 360

Brain oxytocin inhibits the (re)activity of the hypothalamo–pituitary–adrenal axis in male rats: involvement of hypothalamic and limbic brain regions

Neumann, I. D., Krömer, S. A., Toschi, N., & Ebner, K. (2000) · Regulatory Peptides

Neuroendocrine regulation and behaviorStress Responses and Cortisol

Cited by 285

Alzheimer's disease biomarker‐guided diagnostic workflow using the added value of six combined cerebrospinal fluid candidates: Aβ1–42, total‐tau, phosphorylated‐tau, NFL, neurogranin, and YKL‐40

Hampel, H., Toschi, N., Baldacci, F., Zetterberg, H., Blennow, K., Kilimann, I., Teipel, S. J., Cavedo, E., Melo dos Santos, A., Epelbaum, S., et al. (2018) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 129

Diffusion-MRI in neurodegenerative disorders

Goveas, J., O’Dwyer, L., Mascalchi, M., Cosottini, M., Diciotti, S., De Santis, S., Passamonti, L., Tessa, C., Toschi, N., & Giannelli, M. (2015) · Magnetic Resonance Imaging

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 104

A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer’s Disease

Spasov, S. E., Passamonti, L., Duggento, A., Lio, P., & Toschi, N. (2018) · 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 73

Association of cerebrospinal fluid α‐synuclein with total and phospho‐tau181 protein concentrations and brain amyloid load in cognitively normal subjective memory complainers stratified by Alzheimer's disease biomarkers

Vergallo, A., Bun, R., Toschi, N., Baldacci, F., Zetterberg, H., Blennow, K., Cavedo, E., Lamari, F., Habert, M., Dubois, B., et al. (2018) · Alzheimer's & Dementia

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 59

Two‐level diagnostic classification using cerebrospinal fluid YKL‐40 in Alzheimer's disease

Baldacci, F., Toschi, N., Lista, S., Zetterberg, H., Blennow, K., Kilimann, I., Teipel, S., Cavedo, E., dos Santos, A. M., Epelbaum, S., et al. (2017) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 53

Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline

Lista, S., Molinuevo, J. L., Cavedo, E., Rami, L., Amouyel, P., Teipel, S. J., Garaci, F., Toschi, N., Habert, M.-O., Blennow, K., et al. (2015) · Journal of Alzheimer's Disease

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 53

From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks

Alfeo, A. L., Zippo, A. G., Catrambone, V., Cimino, M. G. C. A., Toschi, N., & Valenza, G. (2023) · Computer Methods and Programs in Biomedicine

Explainable Artificial Intelligence (XAI)Functional Brain Connectivity Studies

Cited by 38