Neda Bernasconi

10.1k total citations · 1 hit paper
101 papers, 5.9k citations indexed

About

Neda Bernasconi is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Neda Bernasconi has authored 101 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Psychiatry and Mental health, 53 papers in Cognitive Neuroscience and 37 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Neda Bernasconi's work include Epilepsy research and treatment (62 papers), Functional Brain Connectivity Studies (43 papers) and Neuroscience and Neuropharmacology Research (32 papers). Neda Bernasconi is often cited by papers focused on Epilepsy research and treatment (62 papers), Functional Brain Connectivity Studies (43 papers) and Neuroscience and Neuropharmacology Research (32 papers). Neda Bernasconi collaborates with scholars based in Canada, United States and United Kingdom. Neda Bernasconi's co-authors include Andrea Bernasconi, Boris C. Bernhardt, Alan C. Evans, Seok‐Jun Hong, Hosung Kim, Frédérick Andermann, Luis Concha, Dewi Schrader, François Dubeau and Keith J. Worsley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Brain.

In The Last Decade

Neda Bernasconi

99 papers receiving 5.8k citations

Hit Papers

Recommendations for the use of structural magnetic resona... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Neda Bernasconi
Andrew W. McEvoy United Kingdom
Beate Diehl United Kingdom
Melissa Frumin United States
Kenneth D. Laxer United States
Eishi Asano United States
Andrew W. McEvoy United Kingdom
Neda Bernasconi
Citations per year, relative to Neda Bernasconi Neda Bernasconi (= 1×) peers Andrew W. McEvoy

Countries citing papers authored by Neda Bernasconi

Since Specialization
Citations

This map shows the geographic impact of Neda Bernasconi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neda Bernasconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neda Bernasconi more than expected).

Fields of papers citing papers by Neda Bernasconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neda Bernasconi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neda Bernasconi. The network helps show where Neda Bernasconi may publish in the future.

Co-authorship network of co-authors of Neda Bernasconi

This figure shows the co-authorship network connecting the top 25 collaborators of Neda Bernasconi. A scholar is included among the top collaborators of Neda Bernasconi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neda Bernasconi. Neda Bernasconi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ngo, Alexander, Jessica Royer, Sara Larivière, et al.. (2025). Alterations in Cortical Microstructure, Morphology, and Intrinsic Local Function in Spiking Tissue in Patients With Focal Epilepsy. Neurology. 104(12). e213733–e213733.
2.
Royer, Jessica, Raúl Rodríguez‐Cruces, Linda Horwood, et al.. (2025). Temporal Lobe Epilepsy Perturbs the Brain‐Wide Excitation‐Inhibition Balance: Associations with Microcircuit Organization, Clinical Parameters, and Cognitive Dysfunction. Advanced Science. 12(9). e2406835–e2406835. 6 indexed citations
3.
Fadaie, Fatemeh, Benoît Caldairou, Ravnoor Gill, et al.. (2024). Region-specific MRI predictors of surgical outcome in temporal lobe epilepsy. NeuroImage Clinical. 43. 103658–103658. 1 indexed citations
4.
Larivière, Sara, Bo‐yong Park, Jessica Royer, et al.. (2024). Connectome reorganization associated with temporal lobe pathology and its surgical resection. Brain. 147(7). 2483–2495. 6 indexed citations
5.
Royer, Jessica, Sara Larivière, Raúl Rodríguez‐Cruces, et al.. (2023). Cortical microstructural gradients capture memory network reorganization in temporal lobe epilepsy. Brain. 146(9). 3923–3937. 20 indexed citations
6.
Valk, Sofie L., Veronika Engert, Lara Puhlmann, et al.. (2023). Differential increase of hippocampal subfield volume after socio-affective mental training relates to reductions in diurnal cortisol. eLife. 12. 1 indexed citations
7.
Bayrak, Şeyma, Reinder Vos de Wael, H. Lina Schaare, et al.. (2022). Heritability of hippocampal functional and microstructural organisation. NeuroImage. 264. 119656–119656. 8 indexed citations
8.
Royer, Jessica, Raúl Rodríguez‐Cruces, Shahin Tavakol, et al.. (2022). An Open MRI Dataset For Multiscale Neuroscience. Scientific Data. 9(1). 569–569. 49 indexed citations
9.
Bernasconi, Andrea, et al.. (2022). A whole-brain 3D myeloarchitectonic atlas: Mapping the Vogt-Vogt legacy to the cortical surface. NeuroImage. 263. 119617–119617. 14 indexed citations
10.
Tavakol, Shahin, Qiongling Li, Jessica Royer, et al.. (2021). A Structure–Function Substrate of Memory for Spatial Configurations in Medial and Lateral Temporal Cortices. Cerebral Cortex. 31(7). 3213–3225. 6 indexed citations
11.
Winston, Gavin P., Sjoerd B. Vos, Benoît Caldairou, et al.. (2020). Microstructural imaging in temporal lobe epilepsy: Diffusion imaging changes relate to reduced neurite density. NeuroImage Clinical. 26. 102231–102231. 35 indexed citations
12.
Wael, Reinder Vos de, Sara Larivière, Benoît Caldairou, et al.. (2018). Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding. Proceedings of the National Academy of Sciences. 115(40). 10154–10159. 165 indexed citations
13.
Bernhardt, Boris C., Seok‐Jun Hong, Tommaso Mansi, et al.. (2015). Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset. Scientific Data. 2(1). 150059–150059. 68 indexed citations
14.
Kim, Hosung, Tommaso Mansi, Neda Bernasconi, & Andrea Bernasconi. (2011). Robust Surface-Based Multi-template Automated Algorithm to Segment Healthy and Pathological Hippocampi. Lecture notes in computer science. 14(Pt 3). 445–453. 5 indexed citations
15.
Bernhardt, Boris C., et al.. (2009). Longitudinal and cross-sectional analysis of atrophy in pharmacoresistant temporal lobe epilepsy. Neurology. 72(20). 1747–1754. 197 indexed citations
16.
Bernhardt, Boris C., et al.. (2009). Thalamo–cortical network pathology in idiopathic generalized epilepsy: Insights from MRI-based morphometric correlation analysis. NeuroImage. 46(2). 373–381. 133 indexed citations
17.
Sankar, Tejas, Neda Bernasconi, Hosung Kim, & Andrea Bernasconi. (2007). Temporal lobe epilepsy: Differential pattern of damage in temporopolar cortex and white matter. Human Brain Mapping. 29(8). 931–944. 32 indexed citations
18.
Colliot, Olivier, et al.. (2006). Segmentation of focal cortical dysplasia lesions on MRI using level set evolution. NeuroImage. 32(4). 1621–1630. 36 indexed citations
19.
Bernasconi, Neda, Andrea Bernasconi, Zografos Caramanos, et al.. (2000). Morphometric MRI Analysis of the Parahippocampal Region in Temporal Lobe Epilepsy. Annals of the New York Academy of Sciences. 911(1). 495–500. 58 indexed citations
20.
Bernasconi, Neda, Zografos Caramanos, David C. Reutens, et al.. (2000). T2 Relaxometry Can Lateralize Mesial Temporal Lobe Epilepsy in Patients with Normal MRI. NeuroImage. 12(6). 739–746. 110 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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