Brain and cognitive reserve: Translation via network control theory

Medaglia, John D.; Pasqualetti, Fabio; Hamilton, Roy H.; Thompson-Schill, Sharon L.; Bassett, Danielle S.

doi:10.1016/j.neubiorev.2017.01.016

Cited by 108 publications

(96 citation statements)

References 117 publications

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“…Abbreviations: FA, fractional anisotropy; HCs, healthy controls; JHU, John Hopkins University; LV, latent variable; ROI, region of interest; UHR, ultra-high risk of psychosis; WM, white matter [Color figure can be viewed at wileyonlinelibrary.com] F I G U R E 4 Legend on next page Cole, Hardy, & Rassovsky, 2011), and may involve flexible-hub systems(Schmidt et al, 2015), dynamic network theory(Medaglia, Pasqualetti, Hamilton, Thompson-Schill, & Bassett, 2017), and connectivity(Friston, 1994). Abbreviations: FA, fractional anisotropy; HCs, healthy controls; JHU, John Hopkins University; LV, latent variable; ROI, region of interest; UHR, ultra-high risk of psychosis; WM, white matter [Color figure can be viewed at wileyonlinelibrary.com] F I G U R E 4 Legend on next page Cole, Hardy, & Rassovsky, 2011), and may involve flexible-hub systems(Schmidt et al, 2015), dynamic network theory(Medaglia, Pasqualetti, Hamilton, Thompson-Schill, & Bassett, 2017), and connectivity(Friston, 1994).…”

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confidence: 99%

“…(1-48), see Text S2. Abbreviations: FA, fractional anisotropy; HCs, healthy controls; JHU, John Hopkins University; LV, latent variable; ROI, region of interest; UHR, ultra-high risk of psychosis; WM, white matter [Color figure can be viewed at wileyonlinelibrary.com]F I G U R E 4 Legend on next page Cole,Hardy, & Rassovsky, 2011), and may involve flexible-hub systems(Schmidt et al, 2015), dynamic network theory(Medaglia, Pasqualetti, Hamilton, Thompson-Schill, & Bassett, 2017), and connectivity(Friston, 1994). Reduced cognitive reserve may help explain the discrepant link between the subtle WM-alterations and the widespread impact on cognitive functions, as the ability to activate compensatory mechanisms and strategies to the structural alterations could be diminished.…”

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confidence: 99%

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Widespread higher fractional anisotropy associates to better cognitive functions in individuals at ultra‐high risk for psychosis

Kristensen

Mandl

Raghava

et al. 2019

Human Brain Mapping

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In schizophrenia patients, cognitive functions appear linked to widespread alterations in cerebral white matter microstructure. Here we examine patterns of associations between regional white matter and cognitive functions in individuals at ultra‐high risk for psychosis. One hundred and sixteen individuals at ultra‐high risk for psychosis and 49 matched healthy controls underwent 3 T magnetic resonance diffusion‐weighted imaging and cognitive assessments. Group differences on fractional anisotropy were tested using tract‐based spatial statistics. Group differences in cognitive functions, voxel‐wise as well as regional fractional anisotropy were tested using univariate general linear modeling. Multivariate partial least squares correlation analyses tested for associations between patterns of regional fractional anisotropy and cognitive functions. Univariate analyses revealed significant impairments on cognitive functions and lower fractional anisotropy in superior longitudinal fasciculus and cingulate gyrus in individuals at ultra‐high risk for psychosis. Partial least squares correlation analysis revealed different associations between patterns of regional fractional anisotropy and cognitive functions in individuals at ultra‐high risk for psychosis compared to healthy controls. Widespread higher fractional anisotropy was associated with better cognitive functioning for individuals at ultra‐high risk for psychosis, but not for the healthy controls. Furthermore, patterns of cognitive functions were associated with an interaction‐effect on regional fractional anisotropy in fornix, medial lemniscus, uncinate fasciculus, and superior cerebellar peduncle. Aberrant associations between patterns of cognitive functions to white matter may be explained by dysmyelination.

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confidence: 99%

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confidence: 99%

Widespread higher fractional anisotropy associates to better cognitive functions in individuals at ultra‐high risk for psychosis

Kristensen

Mandl

Raghava

et al. 2019

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…Network control theory, as recently applied to white matter fiber tracts in the human brain, provides a novel mechanistic framework to describe the ease of switching between different dynamical functional brain states, and the regions that best drive these dynamics (Bassett and Sporns, 2017;Medaglia, 2019;Medaglia, et al, 2017a). This approach has the potential to inform theories of dynamic cognitive processes, clinical neuroscience, neurodegeneration, and brain reserve.…”

Section: Introductionmentioning

confidence: 99%

“…However, this far, these control properties have been exclusively derived from white matter fiber tracts without the consideration of gray matter properties. Given the importance of GM properties for cognitive functioning and brain health, and the established interrelationships between white and gray matter, it has been suggested that regional gray matter integrity may be a critical contributor and proxy for network and node controllability (Medaglia, et al, 2017a;Medaglia, et al, 2017b).…”

Section: Introductionmentioning

confidence: 99%

The missing role of gray matter in studying brain controllability

Jamalabadi

Zuberer

Kumar

et al. 2020

Preprint

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National center for PTSD, VA Boston Healthcare System, USA AbstractBrain controllability properties are normally derived from the white matter fiber tracts in which the neural substrate of the actual energy consumption, namely the gray matter, has been widely ignored. Here, we study the relationship between gray matter volume of regions across the whole cortex and their respective control property derived from the structural architecture of the white matter fiber tracts. The data suggests that the ability of white fiber tracts to exhibit control at specific nodes not only depends on the connection strength of the structural connectome but additionally strongly depends on gray matter volume at the host nodes. Our data indicates that connectivity strength and gray matter volume interact with respect to the brain's control properties, such that gray matter exerts the great impact in regions with high structural connectivity. Disentangling effects of the regional gray matter volume and connectivity strength, we found that frontal and sensory areas play crucial roles in controllability. Together these results suggest that structural and regional properties of the white matter and gray matter provide complementary information in studying the control properties of the intrinsic structural and functional architectural of the brain.

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“…In engineering terms, robustness is a product of negative feedback, and when applied to biological systems, represents conditions (parameters) for which the system evolved for; if exposed to conditions outside of this, it tends to become more fragile [24]. It is thus interesting that network control theory is being used to described cognitive reserve, with connectivity being very important and the brain is viewed as a dynamic network [25]. In this paper we aim to bring together aspects of quantum thermodynamics, mitochondrial function and inflammation, to explain how they might be important in the maintenance of cognition.…”

Section: Introduction To Cognitive Hormesismentioning

confidence: 99%

The Hormesis of Thinking: A Deeper Quantum Thermodynamic Perspective?

Nunn¹,

Guy²,

Bell³

2017

Int J Neurorehabilitation Eng

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We are able to read this because of quantum and thermodynamic principles that via an inorganic proton gradient, possibly generated 4.2 billion years ago, gave rise to a system that has an awareness of time and space by using energy to integrate information. Life can be described as a dissipative system driven by an energy gradient that uses information to positively reinforce its self-sustaining structure, which in turn increases its non-linear decisional capacity. Key in the evolution of life has been stress coupled to natural selection, which usually meant an increased demand for energy. As hormesis describes the adaptive response to stress, we propose that hormesis embraces not only the evolution of life, but that of intelligence itself, as natural selection would favour systems that enhances its efficiency. A component of the hormetic response in eukaryotes is the mitochondrion, which itself relies on quantum effects such as tunnelling. This suggests that quantum effects control the stability of individual cells as well as long-lived cellular networks. Hormesis, which can be anti-inflammatory, is therefore key in maintaining the functional stability of complex systems, including the brain. In contrast, a lack of classical hormetic factors, such as physical activity, plant polyphenols, or calorie restriction, will lead to accelerated cognitive decline, which is associated with increased inflammation. However, there may be another previously unidentified factor that could also be considered hormetic, and that is thinking itself. Here we propose that the process of "thinking", and managing complex movement, induces "stress" in the neuronal system and is therefore in itself part of maintaining cognitive health and reserve throughout life. In effect, the right amount of thinking and information processing can beneficially induce adaptation, and this itself could be explainable by quantum thermodynamics.

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Brain and cognitive reserve: Translation via network control theory

Cited by 108 publications

References 117 publications

Widespread higher fractional anisotropy associates to better cognitive functions in individuals at ultra‐high risk for psychosis

Widespread higher fractional anisotropy associates to better cognitive functions in individuals at ultra‐high risk for psychosis

The missing role of gray matter in studying brain controllability

The Hormesis of Thinking: A Deeper Quantum Thermodynamic Perspective?

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