Principles and open questions in functional brain network reconstruction DOI
Onerva Korhonen, Massimiliano Zanin, David Papo

et al.

Human Brain Mapping, Journal Year: 2021, Volume and Issue: 42(11), P. 3680 - 3711

Published: May 20, 2021

Abstract Graph theory is now becoming a standard tool in system‐level neuroscience. However, endowing observed brain anatomy and dynamics with complex network representation involves often covert theoretical assumptions methodological choices which affect the way networks are reconstructed from experimental data, ultimately resulting properties their interpretation. Here, we review some fundamental conceptual underpinnings technical issues associated reconstruction, discuss how mutual influence concurs clarifying organization of function.

Language: Английский

A cross-disorder connectome landscape of brain dysconnectivity DOI
Martijn P. van den Heuvel, Olaf Sporns

Nature reviews. Neuroscience, Journal Year: 2019, Volume and Issue: 20(7), P. 435 - 446

Published: May 24, 2019

Language: Английский

Citations

397
The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations DOI Creative Commons

Janita Turchi,

Catie Chang, Frank Q. Ye

et al.

Neuron, Journal Year: 2018, Volume and Issue: 97(4), P. 940 - 952.e4

Published: Feb. 1, 2018

Language: Английский

Citations

219
Graph theory approaches to functional network organization in brain disorders: A critique for a brave new small-world DOI Creative Commons
Michael N. Hallquist, Frank G. Hillary

Network Neuroscience, Journal Year: 2018, Volume and Issue: 3(1), P. 1 - 26

Published: April 12, 2018

Over the past two decades, resting-state functional connectivity (RSFC) methods have provided new insights into network organization of human brain. Studies brain disorders such as Alzheimer's disease or depression adapted tools from graph theory to characterize differences between healthy and patient populations. Here, we conducted a review clinical neuroscience, summarizing methodological details 106 RSFC studies. Although this approach is prevalent promising, our identified four challenges. First, composition networks varied remarkably in terms region parcellation edge definition, which are fundamental analyses. Second, many studies equated number connections across graphs, but conceptually problematic populations may induce spurious group differences. Third, few metrics were reported common, precluding meta-analyses. Fourth, some tested hypotheses at one level without clear neurobiological rationale considering how findings (e.g., global topology) contextualized by another modular structure). Based on these themes, simulations demonstrate impact specific decisions case-control comparisons. Finally, offer suggestions for promoting convergence order facilitate progress important field.

Language: Английский

Citations

196
The Longitudinal Trajectory of Default Mode Network Connectivity in Healthy Older Adults Varies As a Function of Age and Is Associated with Changes in Episodic Memory and Processing Speed DOI Creative Commons
Adam M. Staffaroni, Jesse A. Brown, Kaitlin B. Casaletto

et al.

Journal of Neuroscience, Journal Year: 2018, Volume and Issue: 38(11), P. 2809 - 2817

Published: Feb. 13, 2018

The default mode network (DMN) supports memory functioning and may be sensitive to preclinical Alzheimer's pathology. Little is known, however, about the longitudinal trajectory of this network's intrinsic functional connectivity (FC). In study, we evaluated FC in 111 cognitively normal older human adults (ages 49-87, 46 women/65 men), 92 whom had at least three task-free fMRI scans (n = 353 total scans). Whole-brain DMN subnetworks were assessed: (1) within-DMN, (2) between anterior posterior DMN, (3) medial temporal lobe DMN. Linear mixed-effects models demonstrated significant baseline age × time interactions, indicating a nonlinear trajectory. There was trend toward increasing ages 50-66 significantly accelerating declines after 74. A similar interaction observed for whole-brain FC. APOE status did not predict or change connectivity. After adjusting volume, changes within-DMN specifically associated with episodic processing speed but working executive functions. relationship attenuated covarying white matter hyperintensities (WMH) FC, whereas remained above beyond WMH exhibit trajectory, more rapid possibly increases early aging process. Within-DMN marker performance even among healthy adults.SIGNIFICANCE STATEMENT Default connectivity, measured using fMRI, changed nonlinearly as function age, some suggestion For first time, shown correlate memory, volume relevant brain regions not. This accounted by mean Functional an biomarker should used caution given its nonmonotonic nature, which could complicate interpretation. Future studies investigating consider

Language: Английский

Citations

185
Tipping the Scales: Peptide-Dependent Dysregulation of Neural Circuit Dynamics in Alzheimer’s Disease DOI Creative Commons
Sam Harris, Fred Wolf, Bart De Strooper

et al.

Neuron, Journal Year: 2020, Volume and Issue: 107(3), P. 417 - 435

Published: June 23, 2020

Language: Английский

Citations

139
Brain network communication: concepts, models and applications DOI
Caio Seguin, Olaf Sporns, Andrew Zalesky

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(9), P. 557 - 574

Published: July 12, 2023

Language: Английский

Citations

129
Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight DOI
Jacob W. Vogel, Nick Corriveau‐Lecavalier, Nicolai Franzmeier

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(10), P. 620 - 639

Published: Aug. 24, 2023

Language: Английский

Citations

77
Increased fMRI connectivity upon chemogenetic inhibition of the mouse prefrontal cortex DOI Creative Commons
Federico Rocchi,

Carola Canella,

Shahryar Noei

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Feb. 25, 2022

Abstract While shaped and constrained by axonal connections, fMRI-based functional connectivity reorganizes in response to varying interareal input or pathological perturbations. However, the causal contribution of regional brain activity whole-brain fMRI network organization remains unclear. Here we combine neural manipulations, resting-state vivo electrophysiology probe how inactivation a cortical node causally affects brain-wide coupling mouse. We find that chronic inhibition medial prefrontal cortex (PFC) via overexpression potassium channel increases between inhibited area its direct thalamo-cortical targets. Acute chemogenetic PFC produces analogous patterns overconnectivity. Using electrophysiology, enhances low frequency (0.1–4 Hz) oscillatory power suppression firing not phase-locked slow rhythms, resulting increased δ band coherence areas exhibit These results provide evidence can counterintuitively increase enhanced, less-localized processes.

Language: Английский

Citations

73
Amyloid induced hyperexcitability in default mode network drives medial temporal hyperactivity and early tau accumulation DOI Creative Commons
Joseph Giorgio, Jenna N. Adams, Anne Maaß

et al.

Neuron, Journal Year: 2023, Volume and Issue: 112(4), P. 676 - 686.e4

Published: Dec. 13, 2023

In early Alzheimer's disease (AD) β-amyloid (Aβ) deposits throughout association cortex and tau appears in the entorhinal (EC). Why these initially appear disparate locations is not understood. Using task-based fMRI multimodal PET imaging, we assess impact of local AD pathology on network-to-network interactions. We show that pathologies flip interactions between default mode network (DMN) medial temporal lobe (MTL) from inhibitory to excitatory. The DMN hyperexcited with increasing levels Aβ, which drives hyperexcitability within MTL this directed hyperexcitation by predicts rate accumulation EC. Our results support a model whereby Aβ induces disruptions excitatory-inhibitory balance DMN, driving MTL, leading accumulation. propose Aβ-induced candidate causal route remote EC-tau

Language: Английский

Citations

47
Synaptic Plasticity Shapes Brain Connectivity: Implications for Network Topology DOI Open Access
Mario Stampanoni Bassi, Ennio Iezzi, Luana Gilio

et al.

International Journal of Molecular Sciences, Journal Year: 2019, Volume and Issue: 20(24), P. 6193 - 6193

Published: Dec. 8, 2019

Studies of brain network connectivity improved understanding on changes and adaptation in response to different pathologies. Synaptic plasticity, the ability neurons modify their connections, is involved remodeling following types damage (e.g., vascular, neurodegenerative, inflammatory). Although synaptic plasticity mechanisms have been extensively elucidated, how neural can shape organization far from being completely understood. Similarities existing between principles governing could be helpful define properties reorganization profiles after damage. In this review, we discuss forms including homeostatic anti-homeostatic mechanisms, directly generating specific characteristics. We propose that long-term potentiation represent neurophysiological basis for formation highly connected nodes (hubs). Conversely, may contribute stabilize activity preventing poor excessive peripheral nodes. addition, dysfunction drive disruption neuropsychiatric conditions such as Alzheimer's disease schizophrenia. Optimal architecture, characterized by efficient information processing resilience, strictly depend balance these plasticity.

Language: Английский

Citations

144