FENS‐Kavli Network of Excellence: Bridging levels and model systems in neuroscience: Challenges and solutions

Livneh, Yoav

doi:10.1111/ejn.15990

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…As Livneh (2023) suggests, we combine the connectomic and cognitive levels of analysis within a single integrative model: SENECA. The SE‐NE‐CA model articulates a connectomic (SE) and cognitive (CA) dimension, which embraces a complex system perspective (NE).…”

Section: Discussionmentioning

confidence: 99%

Modeling the neurocognitive dynamics of language across the lifespan

Guichet,

Banjac,

Achard

et al. 2024

Human Brain Mapping

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Healthy aging is associated with a heterogeneous decline across cognitive functions, typically observed between language comprehension and language production (LP). Examining resting‐state fMRI and neuropsychological data from 628 healthy adults (age 18–88) from the CamCAN cohort, we performed state‐of‐the‐art graph theoretical analysis to uncover the neural mechanisms underlying this variability. At the cognitive level, our findings suggest that LP is not an isolated function but is modulated throughout the lifespan by the extent of inter‐cognitive synergy between semantic and domain‐general processes. At the cerebral level, we show that default mode network (DMN) suppression coupled with fronto‐parietal network (FPN) integration is the way for the brain to compensate for the effects of dedifferentiation at a minimal cost, efficiently mitigating the age‐related decline in LP. Relatedly, reduced DMN suppression in midlife could compromise the ability to manage the cost of FPN integration. This may prompt older adults to adopt a more cost‐efficient compensatory strategy that maintains global homeostasis at the expense of LP performances. Taken together, we propose that midlife represents a critical neurocognitive juncture that signifies the onset of LP decline, as older adults gradually lose control over semantic representations. We summarize our findings in a novel synergistic, economical, nonlinear, emergent, cognitive aging model, integrating connectomic and cognitive dimensions within a complex system perspective.

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Section: Discussionmentioning

confidence: 99%

Modeling the neurocognitive dynamics of language across the lifespan

Guichet,

Banjac,

Achard

et al. 2024

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…As Livneh (2023) suggests, we combine the connectomic and cognitive levels of analysis within a single integrative model: SENECA. The SE-NE-CA model articulates a connectomic (SE) and cognitive (CA) dimension, which embraces a complex system perspective (NE).…”

Section: Discussionmentioning

confidence: 99%

Modeling the Neurocognitive Dynamics of Language across the Lifespan

Guichet¹,

Banjac²,

Mermillod³

et al. 2023

Preprint

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Healthy aging is associated with a heterogeneous decline across cognitive functions, typically observed in language performances. Examining resting-state fMRI and neuropsychological data from 628 healthy adults (age 18-88) from the CamCAN cohort, we performed state-of-the-art graph theoretical analysis to uncover the neural mechanisms underlying this cognitive variability. At the cognitive level, our findings suggest that language processing is not an isolated function but is modulated throughout an individual's lifespan by the extent of inter-cognitive synergy between language, long-term memory, and executive functions. At the cerebral level, we show that the coupling between DMN (Default Mode Network) and FPN (Fronto-Parietal Network) regions may be the way for the brain to compensate for the effects of dedifferentiation at a minimal cost, efficiently mitigating the age-related cognitive decline in language production, fluid processing, and verbal fluency. Notably, the dynamic of cognitive resilience provided by this synergistic coupling seems to follow the Seneca effect typically found in complex systems: a slow rise followed by an abrupt decline. Specifically, we argue that reducing the DMN-FPN coupling could trigger accelerated cognitive decline around age 50. We summarize our findings in a novel SENECA model (Synergistic, Economical, Nonlinear, Emergent, Cognitive Aging), integrating connectomic and cognitive perspectives within a complex system perspective. Our study furthers our understanding of the dedifferentiation-compensation mechanisms that uphold inter-cognitive functioning during healthy aging and suggests that the fifth decade of life could transition towards less synergistic processing.

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FENS‐Kavli Network of Excellence: Bridging levels and model systems in neuroscience: Challenges and solutions

Cited by 2 publications

References 11 publications

Modeling the neurocognitive dynamics of language across the lifespan

Modeling the neurocognitive dynamics of language across the lifespan

Modeling the Neurocognitive Dynamics of Language across the Lifespan

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