The physics of brain network structure, function and control

Nature Reviews Physics, Journal Year: 2019, Volume and Issue: 1(5), P. 318 - 332

Published: March 27, 2019

Language: Английский

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Awakening: Predicting external stimulation to force transitions between different brain states

Proceedings of the National Academy of Sciences, Journal Year: 2019, Volume and Issue: 116(36), P. 18088 - 18097

Published: Aug. 19, 2019

Significance We describe a quantitative and robust definition of brain state as an ensemble “metastable substates,” each with probabilistic stability occurrence frequency. Fitting this to generative whole-brain model provides innovative avenue for predicting where simulated stimulation can force transitions between different states. provide proof-of-concept by systematically applying framework neuroimaging data the human sleep cycle show stimulate awaken sleeping vice versa. These results suggest using causal models discover in silico transition states, which may potentially support recovery disease.

Language: Английский

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Paying attention to attention in depression

Translational Psychiatry, Journal Year: 2019, Volume and Issue: 9(1)

Published: Nov. 7, 2019

Abstract Attention is the gate through which sensory information enters our conscious experiences. Oftentimes, patients with major depressive disorder (MDD) complain of concentration difficulties that negatively impact their day-to-day function, and these attention problems are not alleviated by current first-line treatments. In spite attention’s influence on many aspects cognitive emotional functioning, inclusion in diagnostic criteria for MDD, focus depression as a disease typically mood features, attentional features considered less an imperative investigation. Here, we summarize breadth depth findings from neurosciences regarding neural mechanisms supporting goal-directed order to better understand how might go awry depression. First, characterize behavioral impairments selective, sustained, divided depressed individuals. We then discuss interactions between other cognition (cognitive control, perception, decision-making) functioning (negative biases, internally-focused attention, attention). review evidence neurobiological including organization large-scale networks electrophysiological synchrony. Finally, failure treatments alleviate MDD more targeted pharmacological, brain stimulation, interventions. By synthesizing across disciplines delineating avenues future research, aim provide clearer outline may arise context how, mechanistically, they daily various domains.

Language: Английский

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Brain States and Transitions: Insights from Computational Neuroscience

Cell Reports, Journal Year: 2020, Volume and Issue: 32(10), P. 108128 - 108128

Published: Sept. 1, 2020

Within the field of computational neuroscience there are great expectations finding new ways to rebalance complex dynamic system human brain through controlled pharmacological or electromagnetic perturbation. Yet many obstacles remain between ability accurately predict how and where best perturb force a transition from one state another. The foremost challenge is commonly agreed definition given state. Recent progress in has made it possible robustly define states transitions them. Here, we review art propose framework for determining functional hierarchical organization describing any We describe latest advances creating sophisticated whole-brain models with interacting neuronal neurotransmitter systems that can be studied fully silico design novel interventions them disease.

Language: Английский

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Developmental increases in white matter network controllability support a growing diversity of brain dynamics

Nature Communications, Journal Year: 2017, Volume and Issue: 8(1)

Published: Oct. 26, 2017

As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well understood. We use a network representation diffusion imaging data from 882 youth ages 8 22 show that connectivity becomes optimized for diverse range predicted dynamics in development. Notably, stable controllers subcortical areas are negatively related cognitive performance. Investigating structural mechanisms supporting these changes, we simulate evolution with set growth rules. find all networks structured manner highly control, distinct child versus older youth. demonstrate our results cannot be simply explained changes modularity. This work reveals possible development preferentially optimizes dynamic over static architecture.

Language: Английский

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From Maps to Multi-dimensional Network Mechanisms of Mental Disorders

Neuron, Journal Year: 2018, Volume and Issue: 97(1), P. 14 - 31

Published: Jan. 1, 2018

Language: Английский

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Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: June 9, 2021

Abstract Dynamical brain state transitions are critical for flexible working memory but the network mechanisms incompletely understood. Here, we show that performance entails brain-wide switching between activity states using a combination of functional magnetic resonance imaging in healthy controls and individuals with schizophrenia, pharmacological fMRI, genetic analyses control theory. The stability relates to dopamine D1 receptor gene expression while influenced by D2 modulation. Individuals schizophrenia altered properties, including more diverse energy landscape decreased representations. Our results demonstrate relevance signaling steering whole-brain dynamics during link these processes pathophysiology.

Language: Английский

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Colloquium: Control of dynamics in brain networks

Reviews of Modern Physics, Journal Year: 2018, Volume and Issue: 90(3)

Published: Aug. 14, 2018

The ability to effectively control brain dynamics holds great promise for the enhancement of cognitive function in humans, and betterment their quality life. Yet, successfully controlling neural systems is challenging, part due immense complexity large set interactions that can drive any single change. While we have gained some understanding neurons, large-scale -- networks multiply interacting components remains poorly understood. Efforts address this gap include construction tools networks, mostly adapted from dynamical theory. Informed by current opportunities practical intervention, these theoretical contributions provide models draw a wide array mathematical approaches. We present intriguing recent developments effective strategies dynamic also describe potential mechanisms underlie such processes. review efforts general neurophysiological processes with implications development function, as well altered medical contexts anesthesia administration, seizure suppression, deep-brain stimulation Parkinson's disease. conclude forward-looking discussion regarding how emerging results network especially approaches deal nonlinear or more realistic trajectories transitions could be used directly pressing questions neuroscience.

Language: Английский

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Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands

Communications Biology, Journal Year: 2020, Volume and Issue: 3(1)

Published: May 22, 2020

A diverse set of white matter connections supports seamless transitions between cognitive states. However, it remains unclear how these guide the temporal progression large-scale brain activity patterns in different Here, we analyze brain's trajectories across a single time point from functional magnetic resonance imaging data acquired during resting state and an n-back working memory task. We find that specific sequences are modulated by load, associated with age, related to task performance. Using diffusion-weighted same subjects, apply tools network control theory show linear spread along constrains probabilities at rest, while stimulus-driven visual inputs explain observed Overall, results elucidate structural underpinnings cognitively developmentally relevant spatiotemporal dynamics.

Language: Английский

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White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions

Cell Reports, Journal Year: 2019, Volume and Issue: 28(10), P. 2554 - 2566.e7

Published: Sept. 1, 2019

Optimizing direct electrical stimulation for the treatment of neurological disease remains difficult due to an incomplete understanding its physical propagation through brain tissue. Here, we use network control theory predict how spreads white matter influence spatially distributed dynamics. We test theory's predictions using a unique dataset comprising diffusion weighted imaging and electrocorticography in epilepsy patients undergoing grid stimulation. find statistically significant shared variance between predicted activity state transitions observed transitions. then optimal framework posit testable hypotheses regarding which states structural properties will efficiently improve memory encoding when stimulated. Our work quantifies role that architecture plays guiding dynamics offers empirical support utility explaining brain's response

Language: Английский

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