Generalized Shape Metrics on Neural Representations

Williams, Alex H.; Kunz, Erin; Kornblith, Simon; Linderman, Scott W.

doi:10.48550/arxiv.2110.14739

Cited by 3 publications

(1 citation statement)

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“…Procrustes rotation was utilized to align the first 10 gradient axes for both the left and right hemispheres of each individual with the group-level template space while keeping the internal structure of each hemisphere unchanged (80).…”

Section: Functional Gradients Estimation and Between-hemisphere Funct...mentioning

confidence: 99%

Functional divergence between the two cerebral hemispheres contributes to human fluid intelligence

Liang,

Luo,

Yang

et al. 2024

Preprint

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Hemispheric lateralization is linked to potential cognitive advantages. It is considered a driving force behind the generation of human intelligence. However, establishing quantitative links between the degree of lateralization and intelligence in humans remains elusive. In this study, we propose a novel framework that utilizes the hyperaligned multidimensional representation space derived from hemispheric functional gradients to compute between-hemisphere distances within this space. Our analysis improves the functional alignment between the hemispheres, making it possible to delineate aspects of human brain lateralization that relate to individual differences in cognitive ability more precisely. Applying this framework to the Human Connectome Project (HCP) large cohort (N = 777) identified the highest functional divergence within the frontoparietal control network across the two hemispheres. We found that spatial variability in between-hemisphere functional divergence aligned with the lateralized response patterns across multiple tasks, cortical myelination and evolutionary expansion. Furthermore, both global divergence between the cerebral hemispheres and regional divergence within the multiple demand network were positively associated with fluid composite score and partially mediated the influence of brain size on individual differences in fluid intelligence. Together, these findings illuminate the profound significance of brain lateralization as a fundamental organizational principle of the human brain, providing direct evidence that hemispheric lateralization supports human fluid intelligence.Significance StatementA novel framework is developed to estimate between-hemisphere distance in a functional representation space derived from connectivity gradients. This framework is used in a large sample to delineate functional lateralization in humans. Our findings offer direct proof that a larger functional difference between the two hemispheres is associated with better fluid intelligence, indicating that functional lateralization is the optimal organization for cognitive processing. Importantly, our findings reveal that the functional distance between the left and right hemispheres partially mediates the impact of brain size on fluid intelligence.

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Section: Functional Gradients Estimation and Between-hemisphere Funct...mentioning

confidence: 99%

Functional divergence between the two cerebral hemispheres contributes to human fluid intelligence

Liang,

Luo,

Yang

et al. 2024

Preprint

View full text Add to dashboard Cite

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Multitask representations in the human cortex transform along a sensory-to-motor hierarchy

Ito

Murray

2022

Nat Neurosci

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Reconfiguration of Behavioral Signals in the Anterior Cingulate Cortex based on Emotional State

Lindsay,

Gallello,

Caracheo

et al. 2023

Preprint

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Behaviours and their execution depend on the context and emotional state in which they are performed. The contextual modulation of behavior likely relies on regions such as the anterior cingulate cortex (ACC) that multiplex information about emotional/autonomic states and behaviours. The objective of the present study was to understand how the representations of behaviors by ACC neurons become modified when performed in different emotional states. A pipeline of machine learning techniques was developed to categorize and classify complex, spontaneous behaviors from video. This pipeline, termed HUB-DT, discovered a range of statistically separable behaviors during a task in which motivationally significant outcomes were delivered in blocks of trials that created 3 unique "emotional contexts". HUB-DT was capable of detecting behaviors specific to each emotional context and was able to identify and segregate the portions of a neural signal related to a behaviour and to emotional context. Overall, ~10x as many neurons responded to behaviors in a contextually dependent versus a fixed manner, highlighting the extreme impact of emotional state on representations of behaviors that were precisely defined based on detailed analyses of limb kinematics. This type of modulation may be a key mechanism that allows the ACC to modify behavioral output based on emotional states and contextual demands.

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Generalized Shape Metrics on Neural Representations

Cited by 3 publications

References 0 publications

Functional divergence between the two cerebral hemispheres contributes to human fluid intelligence

Functional divergence between the two cerebral hemispheres contributes to human fluid intelligence

Multitask representations in the human cortex transform along a sensory-to-motor hierarchy

Reconfiguration of Behavioral Signals in the Anterior Cingulate Cortex based on Emotional State

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