FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297225353> ?p ?o ?g. }

• W4297225353 abstract "Cognitive tasks are commonly used to identify brain networks involved in the underlying cognitive process. However, inferring the brain networks from intracranial EEG data presents several challenges related to the sparse spatial sampling of the brain and the high variability of the EEG trace due to concurrent brain processes. In this manuscript, we use a well-known facial emotion recognition task to compare three different ways of analyzing the contrasts between task conditions: permutation cluster tests, machine learning (ML) classifiers, and a searchlight implementation of multivariate pattern analysis (MVPA) for intracranial sparse data recorded from 13 patients undergoing presurgical evaluation for drug-resistant epilepsy. Using all three methods, we aim at highlighting the brain structures with significant contrast between conditions. In the absence of ground truth, we use the scientific literature to validate our results. The comparison of the three methods' results shows moderate agreement, measured by the Jaccard coefficient, between the permutation cluster tests and the machine learning [0.33 and 0.52 for the left (LH) and right (RH) hemispheres], and 0.44 and 0.37 for the LH and RH between the permutation cluster tests and MVPA. The agreement between ML and MVPA is higher: 0.65 for the LH and 0.62 for the RH. To put these results in context, we performed a brief review of the literature and we discuss how each brain structure's involvement in the facial emotion recognition task." @default.
• W4297225353 created "2022-09-28" @default.
• W4297225353 creator A5021042252 @default.
• W4297225353 creator A5021882592 @default.
• W4297225353 creator A5045907361 @default.
• W4297225353 creator A5066312150 @default.
• W4297225353 creator A5079028135 @default.
• W4297225353 creator A5084621627 @default.
• W4297225353 date "2022-09-26" @default.
• W4297225353 modified "2023-10-16" @default.
• W4297225353 title "A comparison of uni- and multi-variate methods for identifying brain networks activated by cognitive tasks using intracranial EEG" @default.
• W4297225353 cites W1202823046 @default.
• W4297225353 cites W1487653274 @default.
• W4297225353 cites W1856690713 @default.
• W4297225353 cites W1984710355 @default.
• W4297225353 cites W1985062174 @default.
• W4297225353 cites W1987298438 @default.
• W4297225353 cites W1989668360 @default.
• W4297225353 cites W1996853040 @default.
• W4297225353 cites W1999277389 @default.
• W4297225353 cites W2003735335 @default.
• W4297225353 cites W2007581301 @default.
• W4297225353 cites W2020995685 @default.
• W4297225353 cites W2023091089 @default.
• W4297225353 cites W2026261383 @default.
• W4297225353 cites W2037504148 @default.
• W4297225353 cites W2038353466 @default.
• W4297225353 cites W2048631316 @default.
• W4297225353 cites W2050618347 @default.
• W4297225353 cites W2051884096 @default.
• W4297225353 cites W2053686810 @default.
• W4297225353 cites W2074886593 @default.
• W4297225353 cites W2076170850 @default.
• W4297225353 cites W2081432059 @default.
• W4297225353 cites W2083433785 @default.
• W4297225353 cites W2089632738 @default.
• W4297225353 cites W2099078585 @default.
• W4297225353 cites W2101135654 @default.
• W4297225353 cites W2101846837 @default.
• W4297225353 cites W2102409432 @default.
• W4297225353 cites W2103986045 @default.
• W4297225353 cites W2120175440 @default.
• W4297225353 cites W2123407155 @default.
• W4297225353 cites W2124088053 @default.
• W4297225353 cites W2128909182 @default.
• W4297225353 cites W2129457265 @default.
• W4297225353 cites W2132749108 @default.
• W4297225353 cites W2135894974 @default.
• W4297225353 cites W2136132248 @default.
• W4297225353 cites W2137552275 @default.
• W4297225353 cites W2138790588 @default.
• W4297225353 cites W2146233605 @default.
• W4297225353 cites W2150283722 @default.
• W4297225353 cites W2151137320 @default.
• W4297225353 cites W2151670337 @default.
• W4297225353 cites W2151721316 @default.
• W4297225353 cites W2165707697 @default.
• W4297225353 cites W2166709585 @default.
• W4297225353 cites W2168217710 @default.
• W4297225353 cites W2169090184 @default.
• W4297225353 cites W2169918686 @default.
• W4297225353 cites W2202916324 @default.
• W4297225353 cites W2246970440 @default.
• W4297225353 cites W2288839258 @default.
• W4297225353 cites W2299597966 @default.
• W4297225353 cites W2324235664 @default.
• W4297225353 cites W2342894681 @default.
• W4297225353 cites W2410264812 @default.
• W4297225353 cites W2417697941 @default.
• W4297225353 cites W2439643207 @default.
• W4297225353 cites W2568412142 @default.
• W4297225353 cites W2588736771 @default.
• W4297225353 cites W2599209790 @default.
• W4297225353 cites W2604373438 @default.
• W4297225353 cites W2737805006 @default.
• W4297225353 cites W2745269799 @default.
• W4297225353 cites W2766903342 @default.
• W4297225353 cites W2783501047 @default.
• W4297225353 cites W2792565775 @default.
• W4297225353 cites W2794395766 @default.
• W4297225353 cites W2795122830 @default.
• W4297225353 cites W2898202948 @default.
• W4297225353 cites W2905126113 @default.
• W4297225353 cites W2911964244 @default.
• W4297225353 cites W2913606428 @default.
• W4297225353 cites W2915941435 @default.
• W4297225353 cites W2955865427 @default.
• W4297225353 cites W2974623753 @default.
• W4297225353 cites W2996476715 @default.
• W4297225353 cites W2999309192 @default.
• W4297225353 cites W3007544569 @default.
• W4297225353 cites W3008871122 @default.
• W4297225353 cites W3011348916 @default.
• W4297225353 cites W3095685876 @default.
• W4297225353 cites W3107793556 @default.
• W4297225353 cites W3112886023 @default.
• W4297225353 cites W3118599238 @default.
• W4297225353 cites W3121807099 @default.
• W4297225353 cites W3134832814 @default.
• W4297225353 cites W3184042735 @default.

• next