Publications

2021

  • 􏰃Sarica, A., Quattrone, A., Mechelli, A., Vaccaro, Morelli, M. & Quattrone, A. (2021). Corticospinal Tract abnormalities and Ventricular Dilatation: a transdiagnostic comparative tractography study. Neu- roimage: Clinical, 102862. [IF=4.881]
  • 􏰃Sarica, A., Barone, S., Nisticò, R., Chiriaco, C., De Martino, A., Magro, G., … & Valentino, P. (2021). Microstructural alterations of the spinothalamic tract and neuropathic pain: A diffusion tensor imaging study in relapsing remitting multiple sclerosis. Journal of the Neurological Sciences, 429. [IF=3.181]
  • Sarica, A. (corresponding author), Quattrone, A. & Quattrone, A. (2021). Explainable Boosting Machine for predicting Alzheimer’s disease from MRI Hippocampal Subfields. Brain Informatics, BI 2021, LNAI 12960, pp. 1–10 [In Press]. [IF=2.13]
  • 􏰃Jia, X. Z., Zhao, N., Dong,…, Sarica, A., … & Zang, Y. (2021). Small P values may not yield robust findings: an example using RESTmetaPD. Science Bulletin. [IF=11.78]
  • Sarica, A., Vaccaro, M. G., Quattrone, A., & Quattrone, A. (2021). A Novel Approach for Cognitive Clustering of Parkinsonisms through Affinity Propagation. Algorithms, 14(2), 49. [IF=2.2]
  • 􏰃 Saccà, V., Sarica, A., Quattrone, A., Rocca, F., Quattrone, A., & Novellino, F. (2021). Aging effect on head motion: A Machine Learning study on resting state fMRI data. Journal of Neuroscience Methods, 352, 109084. [IF=2.214]
  • 􏰃 Sarica, A., Quattrone, A., Quarantelli, M., Arcuri, P. P., Mechelli, A., La Torre, D., … & Quattrone, A. (2021). Reduced Striatal DAT Uptake Normalizes After Shunt in Normal-Pressure Hydrocephalus. Movement disorders: official journal of the Movement Disorder Society, 36(1), 261-262. [IF=8.679]

2020

  • Vaccaro, M. G., Sarica, A. (corresponding author), Quattrone, A., Chiriaco, C., Salsone, M., Morelli, M., & Quattrone, A. (2020). Neuropsychological assessment could distinguish among different clinical phenotypes of progressive supranuclear palsy: A Machine Learning approach. Journal of Neuropsychology. [IF=2.333]
  • Quattrone, A., Sarica, A., La Torre, D., Morelli, M., Bianco, M. G., & Quattrone, A. (2020). Reply to:“MRI Linear Measurements in Normal Pressure Hydrocephalus Versus Progressive Supranuclear Palsy”.
    Movement Disorders, 35(11), 2122-2122. [IF=8.679]
  • Quattrone, A., Sarica, A., La Torre, D., Morelli, M., Vescio, B., Nigro, S., … & Quattrone, A. (2020).
    Magnetic Resonance Imaging Biomarkers Distinguish Normal Pressure Hydrocephalus From Progressive
    Supranuclear Palsy. Movement Disorders. [IF=8.679]
  • Cerasa, A., Cristiani, E., De Luca, B., De Narda, M. L., Cundò, M. C., Bottani, S. C.,Sarica, A, …
    & De Canditiis, D. (2020).. May personality influence the selection of life-long mate? A multivariate predictive mode. CURRENT PSYCHOLOGY. [IF=2.051]

2019

  • Sarica, A., Curcio, M., Rapisarda, L., Cerasa, A., Quattrone, A., & Bono, F. (2019). Periventricular white matter changes in idiopathic intracranial hypertension. Annals of clinical and translational neurology, 6(2), 233-242. [IF=4.649]

2018

  • Barbagallo, G., Morelli, M., Quattrone, A., Chiriaco, C., Vaccaro, M. G., Gullà, D., …, Sarica, A. & Arabia, G. (2018). In vivo evidence for decreased scyllo-inositol levels in the supplementary motor area of patients with Progressive Supranuclear Palsy: A proton MR spectroscopy study. Parkinsonism & related disorders. [IF=4.721]
  • Sarica, A. (corresponding author), Vasta, R., Novellino, F., Vaccaro, M. G., Cerasa, A., & Quattrone, A. (2018). MRI Asymmetry Index of Hippocampal Subfields increases through the continuum from the Mild Cognitive Impairment to the Alzheimer’s disease. Frontiers in Neuroscience, 12, 576. [IF=3.877]
  • Vasta, R., Cerasa, A., Sarica, A., Bartolini, E., Martino, I., Mari, F., … & Labate, A. (2018). The ap- plication of artificial intelligence to understand the pathophysiological basis of psychogenic nonepileptic seizures. Epilepsy & Behavior. [IF=2.6]
  • V. Saccà V., Sarica, A. (equally contributed), Novellino F., Barone S., Tallarico T., Filippelli E., A. Granata A., Chiriaco C., Bossio R. B., Valentino P. & Quattrone A. (2018). Evaluation of Machine Learning algorithms performance for the prediction of early Multiple Sclerosis from Resting-State FMRI Connectivity data. Brain imaging and behaviour. In Press. [IF=3.719]
  • Rapisarda, L., Mazza, M. R., Tosto, F., Gambardella, A., Bono, F., & Sarica, A. (2018). Relationship
    between severity of migraine and vitamin D deficiency: a case-control study. Neurological sciences: ocial journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 39(Suppl 1), 167-168.
  • Bertero, A., Liska, A., Pagani, M., Parolisi, R., Masferrer, M. E., Gritti, M., , Sarica, A., … & Buelli, M. (2018). Autism-associated 16p11. 2 microdeletion impairs prefrontal functional connectivity in mouse and human. Brain. [IF=10.840]
    Sarica, A., Cerasa, A., Quattrone, A., & Calhoun, V. (2018). Editorial on Special Issue: Machine learning on MCI. Journal of Neuroscience Methods 302, 1–2. [IF=2.668]
  • Jia, X. Z., Zhao, N., Barton, B., Burciu, R., Carriere, N., Cerasa, A., Sarica A., … & Delmaire, C. (2018). Small eect size leads to reproducibility failure in resting-state fMRI studies. bioRxiv, 285171.

2017

  • Novellino, F., Vasta, R., Sarica A., Chiriaco, C., Maria, S., Maurizio, M., … & Quattrone, A. (2017). Relationship between hippocampal subfields and category cued recall in AD and PDD: A multimodal MRI study. Neuroscience, 371, 506-517. [IF=3.277]
  • Caligiuri, M. E., Mumoli, L., Sarica, A., Trimboli, M., Cherubini, A., Gambardella, A., & Labate, A. (2017). Widespread white matter alterations predict refractoriness in Mild Temporal Lobe Epilectic patients. Epilepsia, Vol. 58, pp. S178-S179. [IF=5.295]
  • Maier-Hein, K., Neher, P., Houde, J. C., Cote, M. A., Garyfallidis, E., Zhong, J., …, Sarica, A., … & Hilgetag, C. (2017). The challenge of mapping the human connectome based on diffusion tractography. Nature Communications, 8, 1349. [IF=12.124]
  • Cerasa, A., Lofaro, D., Cavedini, P., Martino, I., Bruni, A., Sarica, A., … & Palmacci, A. (2017). Personality biomarkers of pathological gambling: A machine learning study. Journal of Neuroscience Methods, 294, 7-14. [IF=2.554]
  • 􏰃Sarica, A., Cerasa, A., Quattrone, A. (2017). Random Forest algorithm for the classification of neuroimaging data in Alzheimer’s disease: a systematic review. Frontiers in Aging Neuroscience, 9, 329. [IF=4.504]
  • 􏰃Nicoletti, G., Valentino, P., Chiriaco,C., Granata, A., Barone, S., Filippelli,E., Caligiuri,M.E., Vescio,B., Sarica, A. and Quattrone A. (2017). Superior Cerebellar Peduncle Atrophy Predicts Cognitive Impair- ment in Relapsing Remitting Multiple Sclerosis Patients with Cerebellar Symptoms: A DTI Study. J Mult Scler (Foster City), 4:2.
  • 􏰃Vasta, R., Sarica, A. (equally contributed), Bisulli, F., Di Gennaro, G., D’Aniello, A., Difrancesco, J. C., … & Tinuper, P. (2017). Advanced morphological neuroimaging study in lateral temporal lobe epilepsy: A multicentric study. Epilepsy and Behavior, 74, 69-72. [IF=2.631]
  • 􏰃Sarica, A., Cerasa, A., Valentino, P., Yeatman, J., Trotta, M., Barone, S., … & Quattrone, A. (2017). The corticospinal tract profile in amyotrophic lateral sclerosis. Human brain mapping, 38(2), 727-739. [IF=4.53]
  • 􏰃Cerasa, A., Sarica, A., Martino, I., Fabbricatore, C., Tomaiuolo, F., Rocca, F., … & Quattrone, A. (2017). Increased cerebellar gray matter volume in head chefs. PloS one, 12(2), e0171457. [IF=2.806]

2016

  • 􏰃Cerasa, A., Lombardo, G., Tripodi, D., Stillitano, E., Sarica, A. , Gramigna, V., … & Idone, M. (2016). Five-Factor personality traits in Priests. Personality and Individual Differences, 95, 89-94.
  • 􏰃Novellino, F., R. Vasta, G. Nicoletti, C. Chiriaco, M. Vaccaro, M. Morelli, M. Salsone, G. Arabia, A. Sarica, & A. Quattrone. “Memory impairment in AD and PDD: hippocampal subfields involvement and category cued recall.” In JOURNAL OF ALZHEIMERS DISEASE, vol. 53, pp. S19-S19. NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS: IOS PRESS, 2016.
  • 􏰃Maier-Hein, K., Neher, P., Houde, J. C., Cote, M. A., Garyfallidis, E., Zhong, J., …, Sarica, A., … & Ji, Q. (2016). Tractography-based connectomes are dominated by false-positive connections. bioRxiv.
  • 􏰃Cerasa, A., Lombardo, G., Tripodi, D., Stilisano, E., Sarica, A., Gramigna, V., Martino, I., Pullera, A., Tigani, S., De Carlo, Y. (2016) Five-factor personality traits in priests. Personality and Individual Differences, 95:89-94. [IF=1.946]

2015

  • 􏰃Sarica, A., Cerasa, A., & Quattrone, A. (2015). The Neurocognitive Profile of the Cerebellum in Multiple Sclerosis. International journal of molecular sciences, 16(6), 12185-12198. [IF=3.257]
  • 􏰃Bron, E. E., Smits, M., van der Flier, W. M., Vrenken, H., Barkhof, F., Scheltens, P., … Sarica, A., . . . , Klein, S. (2015). Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage, 111, 562-579. [IF=5.463]
  • Venturella, R., Lico, D., Sarica, A., Falbo, M. P., Gulletta, E., Morelli, M., …, Zullo, F. (2015). OvAge: a new methodology to quantify ovarian reserve combining clinical, biochemical and 3D-ultrasonographic parameters. Journal of ovarian research, 8(1), 21. [IF=2.502]

2014

  • 􏰃Lico, D., Venturella, R., Sarica, A., Falbo, M., Gulletta, E., Cannataro, M., & Zullo, F. (2014). OC01. 05: A new algorithm to predict ovarian age combining clinical, biochemical and 3D-ultrasonographic parameters. Ultrasound in Obstetrics & Gynecology, 44(S1), 2-2. [IF=4.197]
  • 􏰃Sarica, A., Cerasa, A., Vasta, R., Perrotta, P., Valentino, P., Mangone, G., … & Quattrone, A. (2014). Tractography in amyotrophic lateral sclerosis using a novel probabilistic tool: A study with tract-based reconstruction compared to voxel-based approach. Journal of Neuroscience Methods, 224, 79-87. [IF=2.053]
  • Venturella, R. and Lico, D. and Sarica, A. and Falbo, M. P. and Gulletta, E. and Cannataro, M. and Zullo, F (2014). A new algorithm to predict ovarian age combining clinical, biochemical and 3D-ultrasonographic parameters. Fertility and Sterility, Volume 102 , Issue 3, e145. [IF=4.426]

2013

  • 􏰃Zullo, F., Lico, D., Venturella, R., Di Cello, A., Sarica, A., Falbo, M. P., … & Cannataro, M. (2013). A New Algorithm To Predict Ovarian Age Combining Clinical, Biochemical and 3D-Ultrasonographic Pa- rameters. Preliminary Results. Journal of Minimally Invasive Gynecology, 20(6), S46-S46. [IF=2.390]
  • 􏰃Sarica, A., Guzzi, P. H., & Cannataro, M. (2013). Building and mining web-based questionnaires and surveys with SySQ. Interdisciplinary Sciences: Computational Life Sciences, 5(3), 233-239. [IF=0.853]
  • 􏰃Cannataro, M., Guzzi, P. H., & Sarica, A. (2013). Data mining and life sciences applications on the grid. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 3(3), 216-238. [IF=1.759]

    IF: ISI Impact Factor

    Congress Proceedings

  • 􏰃Rapisarda L., Demonte G., Tosto F., Curcio M., Sarica A., Cerasa A., Gambardella A., F. Bono F. Loss of periventricular white matter microstructure integrity in idiopathic intracranial hypertension. The Journal of Headache and Pain 2018, 19(Suppl 1):P141.
  • Rapisarda L., Montisano A.D., Sarica A., Demonte G., Tosto F., Gambardella A., F. Bono F. RELATIONSHIP BETWEEN SEVERITY OF MIGRAINE AND VITAMIN D DEFICIENCY: A CASE CONTROL STUDY. The Journal of Headache and Pain 2018, 19(Suppl 1):P51.
    Vasta R., Sarica A., Novellino F., Quattrone A. MRI Lateralization Index of hippocampal subfields could characterize progression of Mild Cognitive Impairment to Alzheimer’s disease. XLIX CONGRESSO SIN ROMA 2018.
  • Barbagallo G., Morelli M., Quattrone A., Novellino F., Arabia G., Nisticò R., Salsone M., Sarica A., Caligiuri M.E., Nigro S., Chiriaco C., Vaccaro M.G., Gullà D., Rocca F., Caracciolo M., Cascini G., Sabatini U., Quattrone A. Increased of Scyllo-Inositol levels in the Supplementary Motor Area of patients with Progressive Supranuclear Palsy: a preliminary proton MR spectroscopy study. XLIX CONGRESSO SIN ROMA 2018.
  • Sarica A., Vasta R., Novellino F., Quattrone A. MRI Lateralization Index of hippocampal subfields could characterize progression of Mild Cognitive Impairment to Alzheimer’s disease. International Conference on Alzheimer’s Disease & Associated Disorders, Madridge Conferences, Rome 2018.
  • Sarica A., Vasta R., Novellino F., Quattrone A. Age- and gender-linked dierences in MRI Lateralization Index of hippocampal subfields. International Conference on Alzheimer’s Disease & Associated Disorders, Madridge Conferences, Rome 2018.
  • Saccà V., Sarica A., Novellino F., Barone S.,Filippelli E., Valentino P., Quattrone A. Evaluation of the MCFLIRT Correction Algorithm in Head Motion from Resting State fMRI Data. Conference: ICBES 2018: 20th International Conference on Biomedical Engineering and Systems, Roma. DOI: 10.1999/1307-6892/10008625
  • Saccà V., Sarica A., Novellino F., Barone S., Tallarico T., Filippelli E., Granata A., Valentino P., Quattrone A. Automated machine learning approach for the prediction of early Multiple Sclerosis from resting state fMRI connectivity data. XLVIII CONGRESSO SIN NAPOLI 2017.
  • Saccà V., Sarica A., Novellino F., Barone S., Tallarico T., Filippelli E., Granata A., Valentino P., Quattrone A. Resting State fMRI head movements in Multiple Sclerosis patients: evaluation of the MCFLIRT correction algorithm. XLVIII CONGRESSO SIN NAPOLI 2017.
  • F. Novellino, R. Vasta, A. Sarica, V. Saccà, C. Chiriaco, M. Vaccaro, G. Arabia, M. Salsone, M. Morelli, G. Nicoletti, A. Quattrone. Relationship Between Hippocampal Subfields and Category Cued Recall in AD and PDD: a Multimodal MRI Study. XLVIII CONGRESSO SIN NAPOLI 2017.
  • Saccà V., Sarica A., Novellino F., Barone S., Tallarico T., Filippelli E., Granata A., Valentino P., Quat- trone A. Evaluation of Random Forest and SVM Classification Performance for the Prediction of Early Multiple Sclerosis from Resting State FMRI Connectivity Data. Conference: 19th International Confer- ence on Neuroinformatics and Computational Neuroscience (ICNCN 2017), Paris. DOI:10.1999/1307- 6892/72690
  • Sarica, A., Di Fatta, G., Smith, G., Cannataro, M., & Saddy, J. D. (2014). Advanced feature selection in multinominal dementia classification from structural MRI data. In Proc MICCAI Workshop Challenge on Computer-Aided Diagnosis of Dementia Based on Structural MRI Data (pp. 82-91).
  • Sarica, A., Di Fatta, G., & Cannataro, M. (2014, August). K-Surfer: A KNIME Extension for the Management and Analysis of Human Brain MRI FreeSurfer/FSL Data. In International Conference on Brain Informatics and Health (pp. 481-492). Springer International Publishing.
  • Sarica, A., Di Fatta, G., & Cannataro, M. (2014). K-Surfer: A KNIME-based tool for the management and analysis of human brain MRI FreeSurfer/FSL Data. Frontiers in Neuroinformatics, (3).
  • Sarica, A., Critelli, C., Guzzi, P. H., Cerasa, A., Quattrone, A., & Cannataro, M. (2013, June). Application of dierent classification techniques on brain morphological data. In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 425-428). IEEE.
  • Sarica, A., Guzzi, P. H., Flotta, D., Nobile, C. G., & Cannataro, M. (2012, June). SySQ: A web-based system for survey and questionnaire management in medicine. In Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on (pp. 1-6). IEEE.

Book Chapters

  • 􏰃Antonio Armentano, Pier Luigi Lanza, Antonio Cerasa, Girolamo Garreffa, e Alessia Sarica. “Tecniche Di Studio Morfologico.” Manuale Di Neuroradiologia. Di Massimo Gallucci, Cosma Andreula, Sossio Cirillo, e Tommaso Scarabino. Poletto Editore, 2016. 2-20.

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