Images tagged with "cognitive control"

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.