From Maps to Multi-dimensional Network Mechanisms of Mental Disorders

Neuron, Год журнала: 2018, Номер 97(1), С. 14 - 31

Опубликована: Янв. 1, 2018

Язык: Английский

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The modular organization of human anatomical brain networks: Accounting for the cost of wiring

Network Neuroscience, Год журнала: 2017, Номер 1(1), С. 42 - 68

Опубликована: Янв. 6, 2017

Brain networks are expected to be modular. However, existing techniques for estimating a network's modules make it difficult assess the influence of organizational principles such as wiring cost reduction on detected modules. Here we present modification an module detection algorithm that allowed us focus connections unexpected under cost-reduction rule and identify from among these connections. We applied this technique anatomical brain showed differ those using standard technique. demonstrated novel spatially distributed, exhibit unique functional fingerprints, overlap considerably with rich clubs, giving rise alternative complementary interpretation roles specific regions. Finally, that, modified approach, can detect in developmental dataset track normative patterns maturation. Collectively, findings support hypothesis composed provide additional insight into function

Язык: Английский

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Distance-dependent consensus thresholds for generating group-representative structural brain networks

Network Neuroscience, Год журнала: 2018, Номер 3(2), С. 475 - 496

Опубликована: Дек. 10, 2018

Large-scale structural brain networks encode white matter connectivity patterns among distributed areas. These connection are believed to support cognitive processes and, when compromised, can lead neurocognitive deficits and maladaptive behavior. A powerful approach for studying the organizing principles of is construct group-representative from multisubject cohorts. Doing so amplifies signal noise ratios provides a clearer picture network organization. Here, we show that current approaches generating sparse overestimate proportion short-range connections present in as result, fail match subject-level along wide range statistics. We an alternative preserves connection-length distribution individual subjects. have used this method previous papers generate networks, though date its performance has not been appropriately benchmarked compared against other methods. As result simple modification, generated using successfully recapitulate properties, outperforming similar by better preserving features promote integrative function rather than segregative. The developed here holds promise future studies investigating basic organizational large-scale networks.

Язык: Английский

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Multimodal network dynamics underpinning working memory

Nature Communications, Год журнала: 2020, Номер 11(1)

Опубликована: Июнь 15, 2020

Working memory (WM) allows information to be stored and manipulated over short time scales. Performance on WM tasks is thought supported by the frontoparietal system (FPS), default mode (DMS), interactions between them. Yet little known about how these systems their relate individual differences in performance. We address this gap knowledge using functional MRI data acquired during performance of a 2-back task, as well diffusion tensor imaging collected same individuals. show that strength FPS DMS task engagement inversely correlated with performance, modulated activation regions but not regions. Next, we use clustering algorithm identify two distinct subnetworks FPS, find display distinguishable patterns gene expression. Activity one subnetwork positively associated FPS-DMS interactions, while activity second negatively associated. Further, pattern structural linkages explains differential capacity influence interactions. To determine whether observations could provide mechanistic account large-scale neural underpinnings WM, build computational model composed coupled oscillators. Modulating amplitude causes expected change thereby offering support for mechanism which tunes Broadly, our study presents holistic regional activity, together humans.

Язык: Английский

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

Nature Communications, Год журнала: 2021, Номер 12(1)

Опубликована: Июнь 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.

Язык: Английский

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Brain network communication: concepts, models and applications

Nature reviews. Neuroscience, Год журнала: 2023, Номер 24(9), С. 557 - 574

Опубликована: Июль 12, 2023

Язык: Английский

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Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Окт. 3, 2022

Psychedelics including lysergic acid diethylamide (LSD) and psilocybin temporarily alter subjective experience through their neurochemical effects. Serotonin 2a (5-HT2a) receptor agonism by these compounds is associated with more diverse (entropic) brain activity. We postulate that this increase in entropy may arise part from a flattening of the brain's control energy landscape, which can be observed using network theory to quantify required transition between recurrent states. Using states derived existing functional magnetic resonance imaging (fMRI) datasets, we show LSD reduce for state transitions compared placebo. Furthermore, across individuals, reduction correlates frequent increased dynamics. Through analysis incorporates spatial distribution 5-HT2a receptors (obtained publicly available positron emission tomography (PET) data under non-drug conditions), demonstrate an association reduced energy. Our findings provide evidence agonist allow facile temporally More broadly, receptor-informed model impact neuropharmacological manipulation on activity

Язык: Английский

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Improving the study of brain-behavior relationships by revisiting basic assumptions

Trends in Cognitive Sciences, Год журнала: 2023, Номер 27(3), С. 246 - 257

Опубликована: Фев. 2, 2023

Neuroimaging research has been at the forefront of concerns regarding failure experimental findings to replicate. In study brain-behavior relationships, past failures find replicable and robust effects have attributed methodological shortcomings. Methodological rigor is important, but there are other overlooked possibilities: most published studies share three foundational assumptions, often implicitly, that may be faulty. this paper, we consider empirical evidence from human brain imaging non-human animals calls each assumption into question. We then opportunities for a science relationships await if scientists ground their efforts in revised assumptions supported by current evidence.

Язык: Английский

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Network statistics of the whole-brain connectome of Drosophila

Nature, Год журнала: 2024, Номер 634(8032), С. 153 - 165

Опубликована: Окт. 2, 2024

Язык: Английский

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Colloquium: Control of dynamics in brain networks

Reviews of Modern Physics, Год журнала: 2018, Номер 90(3)

Опубликована: Авг. 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.

Язык: Английский

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