Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms DOI Creative Commons
Ahmed Faraz Khan, Yasser Iturria‐Medina

Translational Psychiatry, Год журнала: 2024, Номер 14(1)

Опубликована: Сен. 23, 2024

Язык: Английский

Temporal Lobe Epilepsy Perturbs the Brain‐Wide Excitation‐Inhibition Balance: Associations with Microcircuit Organization, Clinical Parameters, and Cognitive Dysfunction DOI Creative Commons
Ke Xie, Jessica Royer, Raúl Rodríguez‐Cruces

и другие.

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

Abstract Excitation‐inhibition (E/I) imbalance is theorized as a key mechanism in the pathophysiology of epilepsy, with ample research focusing on elucidating its cellular manifestations. However, few studies investigate E/I at macroscale, whole‐brain level, and microcircuit‐level mechanisms clinical significance remain incompletely understood. Here, Hurst exponent, an index ratio, computed from resting‐state fMRI time series, microcircuit parameters are simulated using biophysical models. A broad decrease exponent observed pharmaco‐resistant temporal lobe epilepsy (TLE), suggesting more excitable network dynamics. Connectome decoders point to temporolimbic frontocentral cortices plausible epicenters imbalance. Furthermore, computational simulations reveal that enhancing cortical excitability TLE reflects atypical increases recurrent connection strength local neuronal ensembles. Mixed cross‐sectional longitudinal analyses show stronger ratio elevation patients longer disease duration, frequent electroclinical seizures well interictal epileptic spikes, worse cognitive functioning. exponent‐informed classifiers discriminate healthy controls high accuracy (72.4% [57.5%–82.5%]). Replicated independent dataset, this work provides vivo evidence macroscale shift balance points progressive functional imbalances relate decline.

Язык: Английский

Процитировано

3

Theory of the Multiregional Neocortex: Large-Scale Neural Dynamics and Distributed Cognition DOI Creative Commons
Xiao‐Jing Wang

Annual Review of Neuroscience, Год журнала: 2022, Номер 45(1), С. 533 - 560

Опубликована: Июль 8, 2022

The neocortex is a complex neurobiological system with many interacting regions. How these regions work together to subserve flexible behavior and cognition has become increasingly amenable rigorous research. Here, I review recent experimental theoretical on the modus operandi of multiregional cortex. These studies revealed several general principles for neocortical interareal connectivity, low-dimensional macroscopic gradients biological properties across cortical areas, hierarchy timescales information processing. Theoretical suggests testable predictions regarding differential excitation inhibition along feedforward feedback pathways in hierarchy. Furthermore, modeling distributed working memory simple decision-making given rise novel mathematical concept, dubbed bifurcation space, that potentially explains how different canonical circuit organization but heterogeneities, are able their respective (e.g., sensory coding versus executive control) functions modularly organized brain.

Язык: Английский

Процитировано

59

Multitask representations in the human cortex transform along a sensory-to-motor hierarchy DOI
Takuya Ito, John D. Murray

Nature Neuroscience, Год журнала: 2022, Номер 26(2), С. 306 - 315

Опубликована: Дек. 19, 2022

Язык: Английский

Процитировано

42

Language network lateralization is reflected throughout the macroscale functional organization of cortex DOI Creative Commons
Loïc Labache, Tian Ge, B.T. Thomas Yeo

и другие.

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

Опубликована: Июнь 9, 2023

Hemispheric specialization is a fundamental feature of human brain organization. However, it not yet clear to what extent the lateralization specific cognitive processes may be evident throughout broad functional architecture cortex. While majority people exhibit left-hemispheric language dominance, substantial minority population shows reverse lateralization. Using twin and family data from Human Connectome Project, we provide evidence that atypical dominance associated with global shifts in cortical Individuals organization corresponding hemispheric differences macroscale gradients situate discrete large-scale networks along continuous spectrum, extending unimodal through association territories. Analyses reveal both gradient asymmetries are, part, driven by genetic factors. These findings pave way for deeper understanding origins relationships linking population-level variability properties

Язык: Английский

Процитировано

33

Comparison between gradients and parcellations for functional connectivity prediction of behavior DOI Creative Commons
Ru Kong,

Yan Rui Tan,

Naren Wulan

и другие.

NeuroImage, Год журнала: 2023, Номер 273, С. 120044 - 120044

Опубликована: Март 20, 2023

Resting-state functional connectivity (RSFC) is widely used to predict behavioral measures. To measures, representing RSFC with parcellations and gradients are the two most popular approaches. Here, we compare parcellation gradient approaches for RSFC-based prediction of a broad range measures in Human Connectome Project (HCP) Adolescent Brain Cognitive Development (ABCD) datasets. Among approaches, consider group-average "hard" (Schaefer et al., 2018), individual-specific (Kong 2021a), an "soft" (spatial independent component analysis dual regression; Beckmann 2009). For well-known principal (Margulies 2016) local approach that detects changes (Laumann 2015). Across regression algorithms, hard-parcellation performs best HCP dataset, while gradients, spatial exhibit similar performance. On other hand, all perform similarly ABCD dataset. both datasets, worst. Finally, find requires at least 40 60 as well While studies utilize single gradient, our results suggest incorporating higher order can provide significant behaviorally relevant information. Future work will inclusion additional comparison.

Язык: Английский

Процитировано

32

Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease DOI Creative Commons
Justine Y. Hansen, Golia Shafiei, Katharina Voigt

и другие.

PLoS Biology, Год журнала: 2023, Номер 21(9), С. e3002314 - e3002314

Опубликована: Сен. 25, 2023

The brain is composed of disparate neural populations that communicate and interact with one another. Although fiber bundles, similarities in molecular architecture, synchronized activity all reflect how regions potentially another, a comprehensive study these interregional relationships jointly structure function remains missing. Here, we systematically integrate 7 multimodal, multiscale types similarity ("connectivity modes") derived from gene expression, neurotransmitter receptor density, cellular morphology, glucose metabolism, haemodynamic activity, electrophysiology humans. We first show for connectivity modes, feature decreases distance increases when are structurally connected. Next, modes exhibit unique diverse connection patterns, hub profiles, spatial gradients, modular organization. Throughout, observe consistent primacy modes-namely correlated expression similarity-that map onto multiple phenomena, including the rich club patterns abnormal cortical thickness across 13 neurological, psychiatric, neurodevelopmental disorders. Finally, to construct single multimodal wiring human cortex, fuse fused network maps major organizational features cortex structural connectivity, intrinsic functional networks, cytoarchitectonic classes. Altogether, this work contributes integrative cerebral cortex.

Язык: Английский

Процитировано

29

Glioblastoma and brain connectivity: the need for a paradigm shift DOI
Alessandro Salvalaggio,

Lorenzo Pini,

Alessandra Bertoldo

и другие.

The Lancet Neurology, Год журнала: 2024, Номер 23(7), С. 740 - 748

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

17

Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community DOI
Jessica Royer, Casey Paquola, Sofie L. Valk

и другие.

Neuroinformatics, Год журнала: 2024, Номер unknown

Опубликована: Апрель 3, 2024

Язык: Английский

Процитировано

10

Multimodal precision MRI of the individual human brain at ultra-high fields DOI Creative Commons
Donna Gift Cabalo, Ilana R. Leppert, Risavarshni Thevakumaran

и другие.

Scientific Data, Год журнала: 2025, Номер 12(1)

Опубликована: Март 29, 2025

Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping structure, function, connectivity patterns with high fidelity single individuals. Highfield MRI, operating at field strengths 7 Tesla (T) or higher, increases signal-to-noise ratio opens up possibilities gains spatial resolution. Here, we share a multimodal Neuroimaging Connectomics (PNI) T MRI dataset. Ten healthy individuals underwent comprehensive protocol, including T1 relaxometry, magnetization transfer imaging, T2*-weighted diffusion multi-state functional paradigms, aggregated three sessions. Alongside anonymized raw data, release cortex-wide connectomes from different modalities parcellation scales, supply "gradients" that compactly characterize patterning cortical organization. Our precision dataset will advance our understanding structure-function relationships individual is publicly available via Open Science Framework.

Язык: Английский

Процитировано

1

Long-range functional connections mirror and link microarchitectural and cognitive hierarchies in the human brain DOI
Yezhou Wang, Jessica Royer, Bo‐yong Park

и другие.

Cerebral Cortex, Год журнала: 2022, Номер 33(5), С. 1782 - 1798

Опубликована: Май 2, 2022

Abstract Background Higher-order cognition is hypothesized to be implemented via distributed cortical networks that are linked long-range connections. However, it unknown how computational advantages of connections reflect microstructure and microcircuitry. Methods We investigated this question by (i) profiling connectivity using resting-state functional magnetic resonance imaging (MRI) cortico-cortical geodesic distance mapping, (ii) assessing local brain microarchitecture, (iii) examining the microarchitectural similarity regions connected through Results Analysis 2 independent datasets indicated sensory/motor areas had more clustered short-range connections, while transmodal association systems hosted distributed, Meta-analytical decoding suggested topographical difference mirrored shifts in cognitive function, from perception/action towards emotional/social processing. myelin-sensitive vivo MRI as well postmortem histology transcriptomics established gradients paralleled those present microarchitecture. Notably, were found link spatially remote cortex with an unexpectedly similar Conclusions By mapping covarying topographies microcircuits, current work provides insights into structure-function relations human neocortex.

Язык: Английский

Процитировано

36