Found 19 images.
ID | Name | Collection(s) | Description |
---|---|---|---|
65111 | Thresholded ALE contrast analysis: visuospatial selective | Meta-analytic evidence for a core problem solving network across multiple representational domains | Visuospatial problem solving ALE contrast map: [Visuospatial – Mathematical] ∩ [Visuospatial – Verbal]. Voxel-wise thresholding at P < 0.01 (FDR-corrected) using 250 mm3 minimum cluster volumes and 10,000 permutations. |
65133 | Unthresholded ALE meta-analysis: mathematical problem solving | Meta-analytic evidence for a core problem solving network across multiple representational domains | Unthresholded ALE map of mathematical problem solving experiments. |
65115 | Thresholded ALE meta-analysis: verbal problem solving | Meta-analytic evidence for a core problem solving network across multiple representational domains | Cluster-level FWE-corrected (alpha=0.05, CDT=0.001) ALE map of verbal problem solving experiments. |
65114 | Thresholded core problem solving network | Meta-analytic evidence for a core problem solving network across multiple representational domains | Core problem solving ALE conjunction map: Mathematical ∩ Verbal ∩ Visuospatial computed using the conservative minimum statistic. |
63759 | MSIT-learning | ilykim's temporary collection | Uploaded images are the result of testing the hypothesis "(Certain) brain regions' activation will change between early and late session during cognitive control task performance". This is one of my several hypotheses included in my research that ultimately explores the neural basis/mechanisms of practice effect on executive function, or behavioral improvement. MSIT is cognitive control task that tests successful inhibitory control in Incongruent condition and as control, there is congruent condition which measures simple motor speed. Therefore, beta estimates are extracted by contrasting two conditions [Incong > Cong]. This task was conducted during fMRI, and preprocessed and statistically tested with SPM12. At first level, contrast map for each subject (n=57), and for each session (early, late) were calculated, respectively, thereby extracting 114(57 x 2) images in total. Next, at second level, I did paired t-test testing the change between early vs late map. As covariates, I included age, sex, and behavioral measure (RT). |
64145 | Figure 2a | The neural basis of free language choice in bilingual speakers: Disentangling language choice and language execution | Univariate analysis: Activation differences between languages (German and English) during language execution. Regions that are more activated for English during execution are shown are positive in this image. |
64308 | Figure 3 | The neural basis of free language choice in bilingual speakers: Disentangling language choice and language execution | Multivariate Pattern Analysis: Brain regions encoding the chosen language during the language choice and maintenance phase. Chance level (50%) subtracted from the accuracy map. |
65108 | Thresholded ALE meta-analysis: mathematical problem solving | Meta-analytic evidence for a core problem solving network across multiple representational domains | Cluster-level FWE-corrected (alpha=0.05, CDT=0.001) ALE map of mathematical problem solving experiments. |
65134 | Untresholded ALE meta-analysis: verbal problem solving | Meta-analytic evidence for a core problem solving network across multiple representational domains | Unthresholded ALE map of verbal problem solving experiments. |
64309 | Figure 4 | The neural basis of free language choice in bilingual speakers: Disentangling language choice and language execution | Multivariate Pattern Analysis: Brain regions encoding the chosen language during the language execution phase. Chance level (50%) subtracted from the accuracy map. |
65107 | Thresholded ALE contrast analysis: mathematical selective | Meta-analytic evidence for a core problem solving network across multiple representational domains | Mathematical problem solving ALE contrast map: [Mathematical – Verbal] ∩ [Mathematical – Visuospatial]. Voxel-wise thresholding at P < 0.01 (FDR-corrected) using 250 mm3 minimum cluster volumes and 10,000 permutations. |
65109 | Thresholded ALE meta-analysis: global problem solving | Meta-analytic evidence for a core problem solving network across multiple representational domains | Cluster-level FWE-corrected (alpha=0.05, CDT=0.001) ALE map of global problem solving experiments. |
65135 | Unthresholded ALE meta-analysis: visuospatial problem solving | Meta-analytic evidence for a core problem solving network across multiple representational domains | Unthreholded ALE map of visuospatial problem solving experiments. |
64146 | Figure 2b | The neural basis of free language choice in bilingual speakers: Disentangling language choice and language execution | Univariate analysis: Activation differences between languages (German and English) during language execution. Regions that are more activated for German during execution are shown are positive in this image. |
65112 | Thresholded ALE meta-analysis: visuospatial problem solving | Meta-analytic evidence for a core problem solving network across multiple representational domains | Cluster-level FWE-corrected (alpha=0.05, CDT=0.001) ALE map of visuospatial problem solving experiments. |
65136 | Unthresholded ALE meta-analysis: global problem solving | Meta-analytic evidence for a core problem solving network across multiple representational domains | Unthresholded ALE map of global problem solving experiments. |
65113 | Thresholded ALE meta-analysis: problem demand | Meta-analytic evidence for a core problem solving network across multiple representational domains | Cluster-level FWE-corrected (alpha=0.05, CDT=0.001) ALE map of problem demand. |
65137 | Unthresholded ALE meta-analysis: problem demand | Meta-analytic evidence for a core problem solving network across multiple representational domains | Unthresholded ALE map of problem demand. |
65110 | Thresholded ALE contrast analysis: verbal selective | Meta-analytic evidence for a core problem solving network across multiple representational domains | Verbal problem solving ALE contrast map: [Verbal – Mathematical] ∩ [Verbal – Visuospatial]. Voxel-wise thresholding at P < 0.01 (FDR-corrected) using 250 mm3 minimum cluster volumes and 10,000 permutations. |