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Items: 15


Topological gene expression networks recapitulate brain anatomy and function.

Patania A, Selvaggi P, Veronese M, Dipasquale O, Expert P, Petri G.

Netw Neurosci. 2019 Jul 1;3(3):744-762. doi: 10.1162/netn_a_00094. eCollection 2019.


Dissociative identity as a continuum from healthy mind to psychiatric disorders: Epistemological and neurophenomenological implications approached through hypnosis.

Facco E, Mendozzi L, Bona A, Motta A, Garegnani M, Costantini I, Dipasquale O, Cecconi P, Menotti R, Coscioli E, Lipari S.

Med Hypotheses. 2019 Sep;130:109274. doi: 10.1016/j.mehy.2019.109274. Epub 2019 Jun 11.


Receptor-Enriched Analysis of functional connectivity by targets (REACT): A novel, multimodal analytical approach informed by PET to study the pharmacodynamic response of the brain under MDMA.

Dipasquale O, Selvaggi P, Veronese M, Gabay AS, Turkheimer F, Mehta MA.

Neuroimage. 2019 Jul 15;195:252-260. doi: 10.1016/j.neuroimage.2019.04.007. Epub 2019 Apr 4.


Covariance statistics and network analysis of brain PET imaging studies.

Veronese M, Moro L, Arcolin M, Dipasquale O, Rizzo G, Expert P, Khan W, Fisher PM, Svarer C, Bertoldo A, Howes O, Turkheimer FE.

Sci Rep. 2019 Feb 21;9(1):2496. doi: 10.1038/s41598-019-39005-8.


Increased cerebral blood flow after single dose of antipsychotics in healthy volunteers depends on dopamine D2 receptor density profiles.

Selvaggi P, Hawkins PCT, Dipasquale O, Rizzo G, Bertolino A, Dukart J, Sambataro F, Pergola G, Williams SCR, Turkheimer F, Zelaya F, Veronese M, Mehta MA.

Neuroimage. 2019 Mar;188:774-784. doi: 10.1016/j.neuroimage.2018.12.028. Epub 2018 Dec 13.


Exploring resting-state functional connectivity invariants across the lifespan in healthy people by means of a recently proposed graph theoretical model.

Finotelli P, Dipasquale O, Costantini I, Pini A, Baglio F, Baselli G, Dulio P, Cercignani M.

PLoS One. 2018 Nov 8;13(11):e0206567. doi: 10.1371/journal.pone.0206567. eCollection 2018.


In vivo mapping of brainstem nuclei functional connectivity disruption in Alzheimer's disease.

Serra L, D'Amelio M, Di Domenico C, Dipasquale O, Marra C, Mercuri NB, Caltagirone C, Cercignani M, Bozzali M.

Neurobiol Aging. 2018 Dec;72:72-82. doi: 10.1016/j.neurobiolaging.2018.08.012. Epub 2018 Aug 23.


Effects of motor rehabilitation on mobility and brain plasticity in multiple sclerosis: a structural and functional MRI study.

Tavazzi E, Bergsland N, Cattaneo D, Gervasoni E, Laganà MM, Dipasquale O, Grosso C, Saibene FL, Baglio F, Rovaris M.

J Neurol. 2018 Jun;265(6):1393-1401. doi: 10.1007/s00415-018-8859-y. Epub 2018 Apr 7.


Comparing resting state fMRI de-noising approaches using multi- and single-echo acquisitions.

Dipasquale O, Sethi A, Laganà MM, Baglio F, Baselli G, Kundu P, Harrison NA, Cercignani M.

PLoS One. 2017 Mar 21;12(3):e0173289. doi: 10.1371/journal.pone.0173289. eCollection 2017.


Assessment of Internal Jugular Vein Size in Healthy Subjects with Magnetic Resonance and Semiautomatic Processing.

Laganà MM, Pelizzari L, Scaccianoce E, Dipasquale O, Ricci C, Baglio F, Cecconi P, Baselli G.

Behav Neurol. 2016;2016:9717210. doi: 10.1155/2016/9717210. Epub 2016 Feb 29.


Interferon-α acutely impairs whole-brain functional connectivity network architecture - A preliminary study.

Dipasquale O, Cooper EA, Tibble J, Voon V, Baglio F, Baselli G, Cercignani M, Harrison NA.

Brain Behav Immun. 2016 Nov;58:31-39. doi: 10.1016/j.bbi.2015.12.011. Epub 2015 Dec 14.


Theory of Mind and the Whole Brain Functional Connectivity: Behavioral and Neural Evidences with the Amsterdam Resting State Questionnaire.

Marchetti A, Baglio F, Costantini I, Dipasquale O, Savazzi F, Nemni R, Sangiuliano Intra F, Tagliabue S, Valle A, Massaro D, Castelli I.

Front Psychol. 2015 Dec 10;6:1855. doi: 10.3389/fpsyg.2015.01855. eCollection 2015.


Effective artifact removal in resting state fMRI data improves detection of DMN functional connectivity alteration in Alzheimer's disease.

Griffanti L, Dipasquale O, Laganà MM, Nemni R, Clerici M, Smith SM, Baselli G, Baglio F.

Front Hum Neurosci. 2015 Aug 11;9:449. doi: 10.3389/fnhum.2015.00449. eCollection 2015.


High-Dimensional ICA Analysis Detects Within-Network Functional Connectivity Damage of Default-Mode and Sensory-Motor Networks in Alzheimer's Disease.

Dipasquale O, Griffanti L, Clerici M, Nemni R, Baselli G, Baglio F.

Front Hum Neurosci. 2015 Feb 3;9:43. doi: 10.3389/fnhum.2015.00043. eCollection 2015.

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