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Many cognitive processes are realized through neural networks distributed spatially in the human brain.
IPL IPL heterogeneity exists not only between individuals, but also between the left and right hemispheres.
Cognitive neuroimaging experiments are used, which involve multiple functional areas.
The main influence of the estimated neural activity in the three cognitive domains.
The main influence of the estimated neural activity in the three cognitive domains.
Task-related bold responses were first quantified using ordinary quality-univariate analysis at the whole brain level.
IPL separation extracted from the neural activity response of attention, semantics and social cognition .
IPL separation extracted from the neural activity response of attention, semantics and social cognition .
The neural activity estimates of all three task experiments are pooled together to achieve data-driven separation of the top and bottom gyrus, located in each hemisphere.
The task-specific predicted contribution of the IPL partition.
The task-specific predicted contribution of the IPL partition.
The pattern learning algorithm focuses on the neural activity estimation of the left, right, front and back IPL sub-regions from the three target experimental conditions of attention reorientation ( top ) , vocabulary decision-making ( middle ) and the perspective of other people's mental state ( bottom ) Extract prediction rules.
Task-induced changes in cortical functional connectivity
Task-induced changes in cortical functional connectivityCompared with their other tasks, the four IPL sub-regions and other coupling parts are task-dependent functional connections.
Compared with their other tasks, the four IPL sub-regions and other coupling parts are task-dependent functional connections.
Different tasks lead to different effective connection modulations between IPL sub-regions
Different tasks lead to different effective connection modulations between IPL sub-regions.The dynamic causality model (DCM) evaluates the adjustment of the directional connection among the four IPL sub-regions.
Each per the IPL the IPL identified two distinct sub-regions, a front region and a rear region.
These sub-areas differ in their functional specialization and cognitive function.
Two distinct sub-regions are identified in the front right , a front area and a back area.
These sub-areas differ in their functional specialization and cognitive function.
The right anterior IPL IPL subregion has the strongest predictive correlation with attentional redirection, while the left anterior subregion has the strongest predictive correlation with attentional redirection, and the left anterior IPL IPL subregion has the strongest predictive correlation with semantic processing.
In contrast, when the subjects accepted the psychological views of others, the left and right posterior subregions had the strongest correlation with the prediction of semantic processing.
In contrast, when the subjects accepted the psychological views of others, both the left and right posterior IPL IPL were strongly activated.
The bigger ones are strongly activated.
The functional specialization in the larger IPL IPL area is also different from the connection of the whole brain in different sub- regions.
The functional specialization in different areas is also different from the connection of the whole brain in different sub-regions.
As the cognitive complexity between tasks increases, Increased connectivity with different large-scale networks.
The former as between cognitive task complexity increases, increase connectivity with different large-scale networks.
The overall connection characteristics of the pre- IPL IPL subregions showed strong hemispheric lateralization and regional specificity.
In each task, the functional connection contours of the left and right hindbrain regions were similar and showed a higher degree of cross-network coupling.
professionalThe overall connection characteristics of the subregions showed strong hemispheric lateralization and regional specificity.
In each task, the functional connection contours of the left and right hindbrain regions were similar and showed a higher degree of cross-network coupling.
The complementary and effective connection characteristics between professional IPL IPL sub-regions are also different in different fields, supporting the concept of enhanced coupling as cognitive complexity increases.
The complementary and effective connection characteristics between sub-regions are also different in different fields, which supports the concept of enhanced coupling as cognitive complexity increases.
This study provides evidence that human IPL has a triple separation of functions, with task-specific functional specialization in different IPL sub-regions .
This view is supported by the information carried in the accurate multi-prediction signature.
Effective connection analysis found that attention redirection mediates simpler coupling adjustments, while semantics and social cognition are achieved through more complex inter-hemispheric effects .
Different functions are triple-separated.
In different IPL IPL sub-regions there are functional specializations with specific tasks.
Sub-regions have functional specializations with specific tasks.
Attention redirection mediates simpler Coupling adjustment, while semantics and social cognition are realized through more complex inter-hemispheric influences.
Attention redirection mediates simpler coupling adjustments, while semantics and social cognition are realized through more complex inter-hemispheric influences.
This study explored the functional specificity within IPL.
The different predictive features identified by the multivariate pattern learning algorithm confirm the task specificity of IPL subregional activities.
In addition, the left and right IPL imposes a region-specific modulation of the effective connection between their subregions.
The functional interaction between the pre- and post-IPL subregions induced by the task involves the recruitment of distributed cortical partners.
When the front subregion of IPL participates in strong lateral coupling, the latter two subregions show a more symmetrical coupling mode between the two hemispheres .
The study reveals how the underestimated hemispheric specialization in IPL supports some of the most unique human intelligence.
Original source:
Numssen Ole,Bzdok Danilo,Hartwigsen Gesa,Functional specialization within the inferior parietal lobes across cognitive domains.
[J] .
Elife, 2021, 10: undefined.
[J] .
Elife, 2021, 10: undefined.
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