1,720,976 research outputs found
MSJ820759_appendix – Supplemental material for Structural connectivity in multiple sclerosis and modeling of disconnection
No full textSupplemental material, MSJ820759_appendix for Structural connectivity in multiple sclerosis and modeling of disconnection by Elisabetta Pagani, Maria A Rocca, Ermelinda De Meo, Mark A Horsfield, Bruno Colombo, Mariaemma Rodegher, Giancarlo Comi and Massimo Filippi in Multiple Sclerosis Journal</p
MSJ820759_STROBE_Checklist – Supplemental material for Structural connectivity in multiple sclerosis and modeling of disconnection
No full textSupplemental material, MSJ820759_STROBE_Checklist for Structural connectivity in multiple sclerosis and modeling of disconnection by Elisabetta Pagani, Maria A Rocca, Ermelinda De Meo, Mark A Horsfield, Bruno Colombo, Mariaemma Rodegher, Giancarlo Comi and Massimo Filippi in Multiple Sclerosis Journal</p
MSJ820759_supplementary_methods – Supplemental material for Structural connectivity in multiple sclerosis and modeling of disconnection
No full textSupplemental material, MSJ820759_supplementary_methods for Structural connectivity in multiple sclerosis and modeling of disconnection by Elisabetta Pagani, Maria A Rocca, Ermelinda De Meo, Mark A Horsfield, Bruno Colombo, Mariaemma Rodegher, Giancarlo Comi and Massimo Filippi in Multiple Sclerosis Journal</p
MSJ771838_Supplemental_figure – Supplemental material for Hippocampal-related memory network in multiple sclerosis: A structural connectivity analysis
No full textSupplemental material, MSJ771838_Supplemental_figure for Hippocampal-related memory network in multiple sclerosis: A structural connectivity analysis by Sara Llufriu, Maria A Rocca, Elisabetta Pagani, Gianna C Riccitelli, Elisabeth Solana, Bruno Colombo, Mariaemma Rodegher, Andrea Falini, Giancarlo Comi and Massimo Filippi in Multiple Sclerosis Journal</p
MSJ771838_Supplemental_methods – Supplemental material for Hippocampal-related memory network in multiple sclerosis: A structural connectivity analysis
No full textSupplemental material, MSJ771838_Supplemental_methods for Hippocampal-related memory network in multiple sclerosis: A structural connectivity analysis by Sara Llufriu, Maria A Rocca, Elisabetta Pagani, Gianna C Riccitelli, Elisabeth Solana, Bruno Colombo, Mariaemma Rodegher, Andrea Falini, Giancarlo Comi and Massimo Filippi in Multiple Sclerosis Journal</p
MSJ771838_Supplemental_tables – Supplemental material for Hippocampal-related memory network in multiple sclerosis: A structural connectivity analysis
No full textSupplemental material, MSJ771838_Supplemental_tables for Hippocampal-related memory network in multiple sclerosis: A structural connectivity analysis by Sara Llufriu, Maria A Rocca, Elisabetta Pagani, Gianna C Riccitelli, Elisabeth Solana, Bruno Colombo, Mariaemma Rodegher, Andrea Falini, Giancarlo Comi and Massimo Filippi in Multiple Sclerosis Journal</p
MSJ771838_Supplemental_appendix – Supplemental material for Hippocampal-related memory network in multiple sclerosis: A structural connectivity analysis
No full textSupplemental material, MSJ771838_Supplemental_appendix for Hippocampal-related memory network in multiple sclerosis: A structural connectivity analysis by Sara Llufriu, Maria A Rocca, Elisabetta Pagani, Gianna C Riccitelli, Elisabeth Solana, Bruno Colombo, Mariaemma Rodegher, Andrea Falini, Giancarlo Comi and Massimo Filippi in Multiple Sclerosis Journal</p
Structural connectivity-defined thalamic subregions have different functional connectivity abnormalities in multiple sclerosis patients: Implications for clinical correlations
No full textIn spite of the well-known importance of thalami in multiple sclerosis (MS), only limited data on whole and subregional thalamic functional connectivity (FC) changes are available. Using diffusion tensor imaging, we performed a structural connectivity based thalamic parcellation and investigated subregional thalamic resting-state (RS) FC alterations and their relationship with clinical/cognitive measures in MS. MRI data from a reference set of healthy controls (HC) were used to parcellate the thalami into five subregions, according to their structural connectivity. For each thalamic subregion, a seed-based RS FC analysis was performed in 187 MS patients and 94 HC. Correlations between thalamic RS FC and clinical/cognitive variables were assessed. Compared to HC, MS patients showed increased intra- and inter-thalamic RS FC for almost all thalamic subregions, and increased RS FC between all thalamic subregions and the left insula. Frontal and motor thalamic subregions also showed reduced RS FC with the caudate nucleus. For the temporal thalamic subregion, we observed reduced RS FC with the ipsilateral thalamus, anterior and middle cingulate cortex, and cerebellum. Compared to cognitively preserved, cognitively impaired MS patients had higher thalamic RS FC with several temporal areas. In MS patients, lower RS FC between thalamic subregions and the caudate and cingulate cortex correlated with worse motor performance, whereas higher RS FC with the insula correlated with better motor performance. The main thalamic subregions have different RS-FC abnormalities in MS patients. Increased thalamic RS FC with the insula may have a compensatory role, whereas increased RS FC with temporal areas, observed in patients with cognitive impairment may reflect maladaptive mechanisms
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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