Molecular signatures of attention networks DOI
Hanna Schindler, Philippe Jawinski, Aurina Arnatkevičiūtė

и другие.

Human Brain Mapping, Год журнала: 2024, Номер 45(3)

Опубликована: Фев. 15, 2024

Attention network theory proposes three distinct types of attention-alerting, orienting, and control-that are supported by separate brain networks modulated different neurotransmitters, that is, norepinephrine, acetylcholine, dopamine. Here, we explore the extent cortical, genetic, molecular dissociation these attention systems using multimodal neuroimaging. We evaluated spatial overlap between fMRI activation maps from test (ANT) cortex-wide gene expression data Allen Human Brain Atlas. The goal was to identify genes associated with each in order determine whether specific groups were co-expressed corresponding networks. Furthermore, analyzed publicly available PET-maps neurotransmitter receptors transporters investigate their Our analyses revealed a substantial number (3871 for alerting, 6905 2556 control) whose co-varied maps, prioritizing several functions such as regulation protein biosynthesis, phosphorylation, receptor binding. Contrary hypothesized associations, ANT neither aligned distribution dopamine transporter molecules, nor transcriptomic profiles would suggest clearly separable Independence appeared additionally constrained high level dependency maps. Future work may need reconceptualize terms segregation reevaluate presumed independence at neural neurochemical level.

Язык: Английский

Brain network communication: concepts, models and applications DOI
Caio Seguin, Olaf Sporns, Andrew Zalesky

и другие.

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

Опубликована: Июль 12, 2023

Язык: Английский

Процитировано

133
Local structure-function relationships in human brain networks across the lifespan DOI Creative Commons
Farnaz Zamani Esfahlani, Joshua Faskowitz,

Jonah Slack

и другие.

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

Опубликована: Апрель 19, 2022

Abstract A growing number of studies have used stylized network models communication to predict brain function from structure. Most focused on a small set applied globally. Here, we compare large at both global and regional levels. We find that globally most predictors perform poorly. At the level, performance improves but heterogeneously, in terms variance explained optimal model. Next, expose synergies among by using pairs jointly FC. Finally, assess age-related differences coupling across human lifespan. decreases magnitude structure-function with age. these are driven reduced sensorimotor regions, while higher-order cognitive systems preserve local Our results describe patterns cortex how this may change

Язык: Английский

Процитировано

118
Local molecular and global connectomic contributions to cross-disorder cortical abnormalities DOI Creative Commons
Justine Y. Hansen, Golia Shafiei, Jacob W. Vogel

и другие.

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

Опубликована: Авг. 10, 2022

Abstract Numerous brain disorders demonstrate structural abnormalities, which are thought to arise from molecular perturbations or connectome miswiring. The unique and shared contributions of these connectomic vulnerabilities remain unknown, has yet be studied in a single multi-disorder framework. Using MRI morphometry the ENIGMA consortium, we construct maps cortical abnormalities for thirteen neurodevelopmental, neurological, psychiatric N = 21,000 participants 26,000 controls, collected using harmonised processing protocol. We systematically compare multiple micro-architectural measures, including gene expression, neurotransmitter density, metabolism, myelination (molecular vulnerability), as well global measures number connections, centrality, connection diversity (connectomic vulnerability). find relationship between vulnerability white-matter architecture that drives disorder profiles. Local attributes, particularly receptor profiles, constitute best predictors both disorder-specific morphology cross-disorder similarity. Finally, consistently subtended by small subset network epicentres bilateral sensory-motor, inferior temporal lobe, precuneus, superior parietal cortex. Collectively, our results highlight how local attributes connectivity jointly shape abnormalities.

Язык: Английский

Процитировано

73
Controversies and progress on standardization of large-scale brain network nomenclature DOI Creative Commons
Lucina Q. Uddin, Richard F. Betzel, Jessica R. Cohen

и другие.

Network Neuroscience, Год журнала: 2023, Номер 7(3), С. 864 - 905

Опубликована: Янв. 1, 2023

Progress in scientific disciplines is accompanied by standardization of terminology. Network neuroscience, at the level macroscale organization brain, beginning to confront challenges associated with developing a taxonomy its fundamental explanatory constructs. The Workgroup for HArmonized Taxonomy NETworks (WHATNET) was formed 2020 as an Organization Human Brain Mapping (OHBM)-endorsed best practices committee provide recommendations on points consensus, identify open questions, and highlight areas ongoing debate service moving field toward standardized reporting network neuroscience results. conducted survey catalog current large-scale brain nomenclature. A few well-known names (e.g., default mode network) dominated responses survey, number illuminating disagreement emerged. We summarize results initial considerations from workgroup. This perspective piece includes selective review this enterprise, including (1) scale, resolution, hierarchies; (2) interindividual variability networks; (3) dynamics nonstationarity (4) consideration affiliations subcortical structures; (5) multimodal information. close minimal guidelines cognitive communities adopt.

Язык: Английский

Процитировано

69
Structure–function coupling in macroscale human brain networks DOI
Panagiotis Fotiadis, Linden Parkes, Kathryn A. Davis

и другие.

Nature reviews. Neuroscience, Год журнала: 2024, Номер 25(10), С. 688 - 704

Опубликована: Авг. 5, 2024

Язык: Английский

Процитировано

33
Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression DOI Creative Commons
Ming Xu, Xuemei Li, Teng Teng

и другие.

JAMA Network Open, Год журнала: 2024, Номер 7(3), С. e241933 - e241933

Опубликована: Март 12, 2024

Adolescent major depressive disorder (MDD) is associated with serious adverse implications for brain development and higher rates of self-injury suicide, raising concerns about its neurobiological mechanisms in clinical neuroscience. However, most previous studies regarding the alterations adolescent MDD focused on single-modal images or analyzed different modalities separately, ignoring potential role aberrant interactions between structure function psychopathology.

Язык: Английский

Процитировано

19
Individualized event structure drives individual differences in whole-brain functional connectivity DOI Creative Commons
Richard F. Betzel, Sarah A. Cutts,

Sarah Greenwell

и другие.

NeuroImage, Год журнала: 2022, Номер 252, С. 118993 - 118993

Опубликована: Фев. 19, 2022

Resting-state functional connectivity is typically modeled as the correlation structure of whole-brain regional activity. It studied widely, both to gain insight into brain's intrinsic organization but also develop markers sensitive changes in an individual's cognitive, clinical, and developmental state. Despite this, origins drivers connectivity, especially at level densely sampled individuals, remain elusive. Here, we leverage novel methodology decompose its precise framewise contributions. Using two dense sampling datasets, investigate individualized focusing specifically on role brain network "events" - short-lived peaked patterns high-amplitude cofluctuations. a statistical test identify events empirical recordings. We show that cofluctuation expressed during are repeated across multiple scans same individual represent idiosyncratic variants template group level. Lastly, propose simple model based event cofluctuations, demonstrating group-averaged cofluctuations suboptimal for explaining participant-specific connectivity. Our work complements recent studies implicating brief instants primary static, extends those studies, individualized, positing dynamic basis

Язык: Английский

Процитировано

53
Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation DOI Creative Commons
Caio Seguin, Maciej Jedynak, Olivier David

и другие.

Neuron, Год журнала: 2023, Номер 111(9), С. 1391 - 1401.e5

Опубликована: Март 7, 2023

Язык: Английский

Процитировано

37
Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex DOI Creative Commons
Panagiotis Fotiadis, Matthew Cieslak, Xiaosong He

и другие.

Nature Communications, Год журнала: 2023, Номер 14(1)

Опубликована: Сен. 30, 2023

Recent work has demonstrated that the relationship between structural and functional connectivity varies regionally across human brain, with reduced coupling emerging along sensory-association cortical hierarchy. The biological underpinnings driving this expression, however, remain largely unknown. Here, we postulate intracortical myelination excitation-inhibition (EI) balance mediate heterogeneous expression of structure-function (SFC) its temporal variance We employ atlas- voxel-based approaches to analyze neuroimaging data acquired from two groups healthy participants. Our findings are consistent six complementary processing pipelines: 1) SFC respectively decrease increase unimodal-transmodal granular-agranular gradients; 2) increased lower EI-ratio associated more rigid restricted moment-to-moment fluctuations; 3) a gradual shift as principal predictor occurs when traversing granular agranular regions. Collectively, our delivers framework conceptualize relationships in paving way for an improved understanding how demyelination and/or EI-imbalances induce reorganization brain disorders.

Язык: Английский

Процитировано

31
Living on the edge: network neuroscience beyond nodes DOI Creative Commons
Richard F. Betzel, Joshua Faskowitz, Olaf Sporns

и другие.

Trends in Cognitive Sciences, Год журнала: 2023, Номер 27(11), С. 1068 - 1084

Опубликована: Сен. 15, 2023

Network neuroscience has emphasized the connectional properties of neural elements - cells, populations, and regions. This come at expense anatomical functional connections that link these to one another. A new perspective namely emphasizes 'edges' may prove fruitful in addressing outstanding questions network neuroscience. We highlight recently proposed 'edge-centric' method review its current applications, merits, limitations. also seek establish conceptual mathematical links between this previously approaches science neuroimaging literature. conclude by presenting several avenues for future work extend refine existing edge-centric analysis.

Язык: Английский

Процитировано

22