Found 85 images.
| ID | Name | Collection(s) | Description |
|---|---|---|---|
| 43959 | Main effect of vicarious pain | Dissociable Roles of Cerebral μ-Opioid and Type 2 Dopamine Receptors in Vicarious Pain: A Combined PET–fMRI Study | |
| 43979 | Thresholded map showing the regions activated during vicarious pain | Dissociable Roles of Cerebral μ-Opioid and Type 2 Dopamine Receptors in Vicarious Pain: A Combined PET–fMRI Study | T-values, FWE-corrected (p<0.05) for multiple comparisons |
| 65259 | Main effect of Costly Giving decisions (Costly Giving > baseline) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we examined the main effect of participants' decisions to give points to others at the expense of another person gaining more points (i.e., costly giving) relative to an implicit baseline. |
| 395600 | AN>NP | A Neglected Topic in Neuroscience: Replicability of fMRI Results With Specific Reference to ANOREXIA NERVOSA | SPM two-sample t-test contrasting AN > NP using the food > non-food 1st level t-contrasts |
| 567 | UCLA episodic memory | jbrown81's temporary collection | A map of BOLD activation during events that were successfully remembered vs those that were not |
| 65260 | Main effect of Costly Reward decisions (Costly Reward > baseline) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we examined the main effect of participants' decisions to keep points for themselves at the expense of another person gaining more points relative to an implicit baseline. |
| 395601 | food>non-food women with anorexia nervosa | A Neglected Topic in Neuroscience: Replicability of fMRI Results With Specific Reference to ANOREXIA NERVOSA | SPM one-sample t-test contrasting food > non-food 1st level t-contrasts in women with anorexia nervosa |
| 65261 | Main effect of Costly Giving > Costly Reward decisions (Costly Giving > Costly Reward) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we examined the main effect of participants' decisions to give a higher amount of points to another peer at the expense of keeping points for themselves. |
| 395602 | food>non-food non-patient women | A Neglected Topic in Neuroscience: Replicability of fMRI Results With Specific Reference to ANOREXIA NERVOSA | SPM one-sample t-test contrasting food > non-food 1st level t-contrasts in non-patient women |
| 65262 | Multiple regression with Age (Linear), controlling for Frequency of Giving, on Costly Giving versus Noncostly Reward decisions (Costly Giving > Noncostly Reward) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we regressed linear age against neural responses during participants' decisions to give to others (i.e., Costly Giving) relative to keeping points for themselves at no cost/benefit to another person (i.e., Noncostly Reward), controlling for the frequency (%) of Costly Giving behavior. |
| 59078 | Figure_3_rostral_module | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | The rostral left PMd module identified by multimodal CBP. |
| 59079 | Figure_3_central_module | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | The central left PMd module identified by multimodal CBP |
| 59080 | Figure_3_caudal_module | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | The caudal left PMd module identified by multimodal CBP |
| 59081 | Figure_3_ventral_subregion | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | The ventral (posterior) left PMd subregion identified by multimodal CBP |
| 59082 | Figure_3_rostro-ventral_subregion | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | The rostro-ventral left PMd subregion identified by multimodal CBP |
| 59083 | Figure_4_SpecificFC_rostral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Specific functional connectivity of the rostral left PMd modules |
| 65263 | Multiple regression with Age (Linear), controlling for Frequency of Giving, on Costly Giving versus Noncostly Giving decisions (Costly Giving > Noncostly Giving) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we regressed linear age against neural responses during participants' decisions to give to others at the expense of gaining rewards (i.e., Costly Giving) relative to decisions to give to others at no expense to one's own rewards (i.e., Noncostly Giving), controlling for the frequency (%) of Costly Giving behavior. |
| 65641 | pDMN_APOEe4_ROI | Increased posterior default mode network activity and structural connectivity in young adult APOE-ε4 carriers: a multi-modal imaging investigation | |
| 59084 | Figure_4_SpecificFC_central | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Specific functional connectivity of the central left PMd modules |
| 59085 | Figure_4_SpecificFC_caudal | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Specific functional connectivity of the caudal left PMd modules |
| 59086 | Figure_4_SpecificFC_ventral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Specific functional connectivity of the ventral (posterior) left PMd subregion |
| 59087 | Figure_4_SpecificFC_RostroVentral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Specific functional connectivity of the rostro-ventral left PMd subregion |
| 59088 | FigureS9_MACM_rostral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Task-based functional connectivity profile of the rostral left PMd module revealed by MACM |
| 59089 | FigureS9_MACM_central | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Task-based functional connectivity profile of the central left PMd module revealed by MACM |
| 59090 | FigureS9_MACM_caudal | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Task-based functional connectivity profile of the caudal left PMd module revealed by MACM |
| 59091 | FigureS9_MACM_ventral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Task-based functional connectivity profile of the (posterior) ventral left PMd module revealed by MACM |
| 59092 | FigureS9_MACM_RostroVentral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Task-based functional connectivity profile of the rostro-ventral left PMd module revealed by MACM |
| 59093 | FigureS10_RSFC_rostral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Unconstrained functional connectivity profile of the rostral left PMd module revealed by RSFC |
| 59094 | FigureS10_RSFC_central | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Unconstrained functional connectivity profile of the central left PMd module revealed by RSFC |
| 59095 | FigureS10_RSFC_caudal | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Unconstrained functional connectivity profile of the caudal left PMd module revealed by RSFC |
| 59096 | FigureS10_RSFC_ventral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Unconstrained functional connectivity profile of the ventral left PMd module revealed by RSFC |
| 59097 | FigureS10_RSFC_RostroVentral | The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization | Unconstrained functional connectivity profile of the rostro-ventral left PMd module revealed by RSFC |
| 65264 | Multiple regression with Age (Linear), controlling for Frequency of Giving, on Costly Giving versus Costly Reward decisions (Costly Giving > Costly Reward) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we regressed linear age against neural responses during participants' decisions to give to others (i.e., Costly Giving) at the expense of keeping points for themselves (i.e., Costly Reward), controlling for the frequency (%) of Costly Giving behavior. |
| 65265 | Multiple regression with Age (Quadratic), controlling for Age (Linear) and Frequency of Giving, on Costly Giving versus Noncostly Reward decisions (Costly Giving > Noncostly Reward) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we regressed quadratic age against neural responses during participants' decisions to give to others (i.e., Costly Giving) relative to keeping points for themselves at no cost/benefit to another person (i.e., Noncostly Reward), controlling for linear age and the frequency (%) of Costly Giving behavior. |
| 65266 | Multiple regression with Age (Quadratic), controlling for Age (Linear) and Frequency of Giving, on Costly Giving versus Noncostly Giving decisions (Costly Giving > Noncostly Giving) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we regressed quadratic age, controlling for linear age, against neural responses during participants' decisions to keep points for themselves (i.e., selfish behavior) relative to an implicit baseline. In this contrast, we regressed quadratic age against neural responses during participants' decisions to give to others (i.e., Costly Giving) relative to keeping points for themselves at no cost/benefit to another person (i.e., Noncostly Reward), controlling for linear age and the frequency (%) of Costly Giving behavior. |
| 65267 | Multiple regression with Age (Quadratic), controlling for Age (Linear) and Frequency of Giving, on Costly Giving versus Costly Reward decisions (Costly Giving > Costly Reward ) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we regressed quadratic age against neural responses during participants' decisions to give to others (i.e., Costly Giving) at the expense of keeping points for themselves (i.e., Costly Reward), controlling for linear age and the frequency (%) of Costly Giving behavior. |
| 65268 | Main effect of Noncostly Giving decisions (Noncostly Giving > baseline) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we examined the main effect of participants'decisions to give points to one of two peers relative to an implicit baseline. |
| 370096 | Cobre_fMRI_ML | Psychosis_ML_maps_fMRI | ML feature weight map from the Cobre dataset. |
| 65269 | Main effect of Noncostly Reward decisions (Noncostly Reward > baseline) | The neural development of prosocial behavior from childhood to adolescence | In this contrast, we examined the main effect of participants' decisions to keep points for themselves at no cost/benefit to another peer relative to an implicit baseline. |
| 370097 | Maastricht_fMRI_ML | Psychosis_ML_maps_fMRI | ML feature weight map from the Maastricht dataset. |
| 795996 | MDD_Comparison | caitlinbaten's temporary collection | |
| 370098 | Dublin_fMRI_ML | Psychosis_ML_maps_fMRI | ML feature weight map from the Dublin dataset. |
| 568 | UCLA episodic memory #2 | jbrown81's temporary collection | test |
| 12020 | Figure 1, third column | ALE meta-analysis on facial judgments of trustworthiness and attractiveness | All neuroimaging experiments labeled as attractiveness judgment |
| 12021 | Figure 1, first column | ALE meta-analysis on facial judgments of trustworthiness and attractiveness | All neuroimaging experiments labeled as trustworthiness or attractiveness judgment |
| 12022 | Figure 1, second column | ALE meta-analysis on facial judgments of trustworthiness and attractiveness | All neuroimaging experiments labeled as trustworthiness judgment |
| 12026 | Figure 3 - Anterior > posterior connectivity | Is There "One" DLPFC in Cognitive Action Control? Evidence for Heterogeneity From Co-Activation-Based Parcellation | Regions showing significantly stronger task-dependent and task-independent connectivity of the anterior versus posterior cluster |
| 12027 | Figure 4 - Posterior > anterior connectivity | Is There "One" DLPFC in Cognitive Action Control? Evidence for Heterogeneity From Co-Activation-Based Parcellation | Regions showing significantly stronger task-dependent and task-independent connectivity of the posterior versus anterior cluster |
| 12028 | Figure 2 - Anterior cluster | Is There "One" DLPFC in Cognitive Action Control? Evidence for Heterogeneity From Co-Activation-Based Parcellation | Connectivity-based parcellation (CBP) results -- Cluster #2 (anterior) |
| 12029 | Figure 1 - Posterior cluster | Is There "One" DLPFC in Cognitive Action Control? Evidence for Heterogeneity From Co-Activation-Based Parcellation | Connectivity-based parcellation (CBP) results -- Cluster #1 (posterior) |
| 12030 | Figure 1 | Three key regions for supervisory attentional control: Evidence from neuroimaging meta-analyses | ALE result for conflict minus that for no conflict |
| 12031 | Figure 2A | Three key regions for supervisory attentional control: Evidence from neuroimaging meta-analyses | ALE result for the Stroop task |
| 12032 | Figure 2B | Three key regions for supervisory attentional control: Evidence from neuroimaging meta-analyses | ALE result for Spatial Interference Tasks |
| 12033 | Figure 2C | Three key regions for supervisory attentional control: Evidence from neuroimaging meta-analyses | ALE result for the Stop-Signal Task |
| 12034 | Figure 2D | Three key regions for supervisory attentional control: Evidence from neuroimaging meta-analyses | ALE result for the Go/No-Go Task |
| 12035 | Figure 3 | Three key regions for supervisory attentional control: Evidence from neuroimaging meta-analyses | Conjunction across all four task types |
| 12036 | Figure 4 | Three key regions for supervisory attentional control: Evidence from neuroimaging meta-analyses | Conjunction across Stroop, Spatial Interference and Stop-Signal Tasks |
| 12080 | All Pain Studies | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | ALE result for all pain studies |
| 12081 | Experimental Pain Studies | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | ALE result for all experimentally induced pain studies |
| 12082 | Experimental - Neuropathic | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | ALE results of all experimentally induced pain studies, minus that of all neuropathic pain studies. Thresholded at uncorrected p < 0.05. |
| 12083 | Neuropathic ∪ Experimental | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | Conjunction of ALEs for experimentally induced and neuropathic pain. Thresholded at uncorrected p < 0.05. |
| 12084 | All Neuropathic Studies | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | ALE result for all neuropathic pain studies |
| 12085 | All Non-thermal Pain Studies | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | ALE result for all non-thermally induced pain studies |
| 12086 | Non-thermal - Thermal | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | ALE for non-thermally induced pain studies, minus that for thermally induced pain studies. Thresholded at uncorrected p < 0.05. |
| 12087 | Thermal ∪ Non-thermal | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | Conjunction of ALEs for all thermally and non-thermally induced pain studies. Thresholded at uncorrected p < 0.05. |
| 12088 | All Thermal Studies | Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain | ALE result for all thermally induced pain studies. |
| 12096 | aMCC Seed | The role of anterior midcingulate cortex in cognitive motor control | The seed region was taken from a recent fMRI study which examined neural effects of self-initiated movements by letting subjects choose between left or right finger movements to be initiated at an freely chosen point in time [Hoffstaedter et al., 2013] |
| 12097 | MACM aMCC | The role of anterior midcingulate cortex in cognitive motor control | The VOI search in the BrainMap database revealed 656 experiments containing activation foci within the aMCC. The ALE maps reflecting the convergence of co-activations with the aMCC were family wise error (FWE) corrected at a cluster level threshold of p < 0.05 (cluster-forming threshold: p < 0.001 at voxel level; cluster extend threshold k = 211), and converted to Z-scores. |
| 12098 | MACM aMCC cognition | The role of anterior midcingulate cortex in cognitive motor control | 277 experiments in BrainMap featuring activation in the aMCC were attributed to the behavioral domain ‘cognition’. |
| 12099 | MACM aMCC action | The role of anterior midcingulate cortex in cognitive motor control | 222 experiments featuring activation in the aMCC were attributed to the behavioral domain ‘action’. |
| 12100 | RS aMCC | The role of anterior midcingulate cortex in cognitive motor control | The aMCC was used as seed VOI in the resting-state analysis in 100 subjects. Pearson correlation coefficients were computed between the representative time series of the VOI and those of all other grey matter voxels in the brain. Correlation coefficients were Fisher's Z transformed and tested for consistency in an ANOVA. The results of this random-effects analysis were family wise error (FWE) corrected at a threshold of p < 0.05. |
| 12101 | Conjunction RS and MACM aMCC | The role of anterior midcingulate cortex in cognitive motor control | Conjunction RS and MACM aMCC |
| 18860 | Reward prediction error | Reinforcement learning models and their neural correlates: An activation likelihood estimation meta-analysis | Reward prediction error (main effect) |
| 18861 | Conjunction (6 studies) | Reinforcement learning models and their neural correlates: An activation likelihood estimation meta-analysis | Conjunction of all sub-contrasts (aside from smoothing) |
| 18862 | Expected Value | Reinforcement learning models and their neural correlates: An activation likelihood estimation meta-analysis | Expected Value contrast. |
| 18902 | L1 | Neurofunctional topography of the human hippocampus | Left hippocampus segment (L1) |
| 18903 | L2 | Neurofunctional topography of the human hippocampus | Left hippocampus segment (L2) |
| 18904 | L3 | Neurofunctional topography of the human hippocampus | Left hippocampus segment (L3) |
| 18905 | R1 | Neurofunctional topography of the human hippocampus | Right hippocampus segment (R1) |
| 18906 | R2 | Neurofunctional topography of the human hippocampus | Right hippocampus segment (R2) |
| 18907 | R3 | Neurofunctional topography of the human hippocampus | Right hippocampus segment (R3) |
| 18908 | R4 | Neurofunctional topography of the human hippocampus | Right hippocampus segment (R4) |
| 18909 | R5 | Neurofunctional topography of the human hippocampus | Right hippocampus segment (R5) |
| 43928 | Pearson correlation: [11C]carfentanil BPnd anterior insula vs. haemodynamic responses to vicarious pain | Dissociable Roles of Cerebral μ-Opioid and Type 2 Dopamine Receptors in Vicarious Pain: A Combined PET–fMRI Study | |
| 370099 | Mean_fMRI_ML | Psychosis_ML_maps_fMRI | Mean ML fMRI cortical feature weight map (averaged across Maastricht, Dublin and Cobre datasets). |