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A practical guide to methodological considerations in the controllability of structural brain networks

As of 16 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 0 inbound Pith citation observations for arXiv:1908.03514.

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pith.paper-citation-record.v1
1908.03514 v1

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Outbound references

Observation 2c526256-fe1e-461f-ad45-a37fa3948a55 · outbound

This paper cites Emerging concepts for the dynamical organization of resting-state activity in the brain.

A practical guide to methodological considerations in the controllability of structural brain networks Emerging concepts for the dynamical organization of resting-state activity in the brain

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This paper cites Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders.

A practical guide to methodological considerations in the controllability of structural brain networks Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders

Reference 2

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A practical guide to methodological considerations in the controllability of structural brain networks Learning, memory, and the role of neural network architecture

Reference 3

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A practical guide to methodological considerations in the controllability of structural brain networks Structural foundations of resting-state and task-based functional connectivity in the human brain

Reference 4

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This paper cites Structurally-constrained relationships between cognitive states in the human brain.

A practical guide to methodological considerations in the controllability of structural brain networks Structurally-constrained relationships between cognitive states in the human brain

Reference 5

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A practical guide to methodological considerations in the controllability of structural brain networks Recurrent network models of sequence generation and memory

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A practical guide to methodological considerations in the controllability of structural brain networks Distributed synchrony in a hebbian cell assembly of spiking neurons

Reference 7

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A practical guide to methodological considerations in the controllability of structural brain networks Spike-time-dependent plasticity and het- erosynaptic competition organize networks to produce long scale-free sequences of neural activity

Reference 8

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A practical guide to methodological considerations in the controllability of structural brain networks Linear systems, volume 156

Reference 9

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A practical guide to methodological considerations in the controllability of structural brain networks Controllability of complex networks

Reference 10

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A practical guide to methodological considerations in the controllability of structural brain networks Controllability metrics, limitations and algorithms for complex networks

Reference 11

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This paper cites Complex brain networks: graph theoretical analysis of structural and functional systems.

A practical guide to methodological considerations in the controllability of structural brain networks Complex brain networks: graph theoretical analysis of structural and functional systems

Reference 12

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A practical guide to methodological considerations in the controllability of structural brain networks On the nature and use of models in network neuroscience

Reference 13

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A practical guide to methodological considerations in the controllability of structural brain networks A dynamical systems view of motor preparation: implications for neural prosthetic system design

Reference 14

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A practical guide to methodological considerations in the controllability of structural brain networks Characterization of state transitions in spatially distributed, chaotic, nonlinear, dynamical systems in cerebral cortex

Reference 15

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A practical guide to methodological considerations in the controllability of structural brain networks Controllability of linear dynamical systems, contributions to differential equations 1 (1963), 189–213

Reference 16

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A practical guide to methodological considerations in the controllability of structural brain networks Stimulation-based control of dynamic brain networks

Reference 17

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A practical guide to methodological considerations in the controllability of structural brain networks White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions

Reference 18

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A practical guide to methodological considerations in the controllability of structural brain networks Medial temporal lobe functional connectivity predicts stimulation-induced theta power

Reference 19

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A practical guide to methodological considerations in the controllability of structural brain networks Network controllability in the inferior frontal gyrus relates to controlled language variability and susceptibility to tms

Reference 20

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A practical guide to methodological considerations in the controllability of structural brain networks Functional control of electrophysiological network architecture using direct neurostimulation in humans

Reference 21

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A practical guide to methodological considerations in the controllability of structural brain networks Optimization of energy state transition trajectory supports the development of executive function during youth

Reference 22

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A practical guide to methodological considerations in the controllability of structural brain networks Locally stable brain states predict suppression of epileptic activity by enhanced cognitive effort

Reference 23

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A practical guide to methodological considerations in the controllability of structural brain networks Sex differences in network controllability as a predictor of executive function in youth

Reference 24

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A practical guide to methodological considerations in the controllability of structural brain networks Motor, cognitive, and affective areas of the cerebral cortex influence the adrenal medulla

Reference 25

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A practical guide to methodological considerations in the controllability of structural brain networks Feeding the brain and nurturing the mind: Linking nutrition and the gut microbiota to brain development

Reference 26

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A practical guide to methodological considerations in the controllability of structural brain networks Network control principles predict neuron function in the Caenorhabditis elegans connectome

Reference 27

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A practical guide to methodological considerations in the controllability of structural brain networks Caenorhab- ditis elegans and the network control frameworkfaqs.Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1758):20170372, 2018

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A practical guide to methodological considerations in the controllability of structural brain networks Autaptic connections shift network excitability and bursting

Reference 29

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A practical guide to methodological considerations in the controllability of structural brain networks Role of graph architecture in controlling dynamical networks with applications to neural systems

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A practical guide to methodological considerations in the controllability of structural brain networks Controllability of structural brain networks.Nature communications, 6:8414, 2015

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A practical guide to methodological considerations in the controllability of structural brain networks Human cognition involves the dynamic integration of neural activity and neuromodula- tory systems

Reference 32

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A practical guide to methodological considerations in the controllability of structural brain networks Fronto-limbic dysconnectivity leads to impaired brain network controllability in young people with bipolar disorder and those at high genetic risk

Reference 33

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A practical guide to methodological considerations in the controllability of structural brain networks Temporal lobe epilepsy: Hippocampal pathology modulates connectome topology and controllability

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A practical guide to methodological considerations in the controllability of structural brain networks Optimal trajectories of brain state transitions

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A practical guide to methodological considerations in the controllability of structural brain networks Optimally controlling the human connectome: the role of network topology

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A practical guide to methodological considerations in the controllability of structural brain networks Human brain networks in health and disease

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Observation 53d7c3d2-b7c8-4d5c-9dea-c65f42969920 · outbound

This paper cites Cognitive network neuroscience.

A practical guide to methodological considerations in the controllability of structural brain networks Cognitive network neuroscience

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Resolution
verified fuzzy
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Observation 7b43b03e-8fca-458e-abf5-c9453825770d · outbound

This paper cites Comparative connectomics.

A practical guide to methodological considerations in the controllability of structural brain networks Comparative connectomics

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Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 9de83ff4-2224-4d71-a91c-42b4b5ee7874 · outbound

This paper cites From maps to multi-dimensional network mechanisms of mental disorders.

A practical guide to methodological considerations in the controllability of structural brain networks From maps to multi-dimensional network mechanisms of mental disorders

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Resolution
verified fuzzy
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Observation f7763e7b-d107-43c8-a169-953672c695cb · outbound

This paper cites Developmental increases in white matter network controllability support a growing diversity of brain dynamics.

A practical guide to methodological considerations in the controllability of structural brain networks Developmental increases in white matter network controllability support a growing diversity of brain dynamics

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Resolution
verified fuzzy
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Observation 469f0e59-bf9e-40cf-8fd1-20df50cb5fbb · outbound

This paper cites Brain state stability during working memory is explained by network control theory, modulated by dopamine d1/d2 receptor function, and diminished in schizophrenia.

A practical guide to methodological considerations in the controllability of structural brain networks Brain state stability during working memory is explained by network control theory, modulated by dopamine d1/d2 receptor function, and diminished in schizophrenia

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Resolution
verified fuzzy
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Observation 081273d0-4f0e-4ee8-9398-02bd30c460f8 · outbound

This paper cites Colloquium: Control of dynamics in brain networks.

A practical guide to methodological considerations in the controllability of structural brain networks Colloquium: Control of dynamics in brain networks

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Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 579268d8-6b22-4a34-a160-edc8de3178a2 · outbound

This paper cites Linear Dynamics & Control of Brain Networks.

A practical guide to methodological considerations in the controllability of structural brain networks Linear Dynamics & Control of Brain Networks

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Resolution
verified exact
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f8c0cff8-cd77-4b40-8895-3a8c3789e6a6 · outbound

This paper cites On how network architecture determines the dominant patterns of spontaneous neural activity.

A practical guide to methodological considerations in the controllability of structural brain networks On how network architecture determines the dominant patterns of spontaneous neural activity

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Resolution
verified fuzzy
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Observation aa2d19ad-8031-42d8-8287-47a64f21ad5a · outbound

This paper cites Predicting human resting-state functional connectivity from structural connec- tivity.

A practical guide to methodological considerations in the controllability of structural brain networks Predicting human resting-state functional connectivity from structural connec- tivity

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Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c8d2daa2-b9b3-44bd-a92e-0e05eacd6039 · outbound

This paper cites Experience-dependent structural plasticity in the adult human brain.

A practical guide to methodological considerations in the controllability of structural brain networks Experience-dependent structural plasticity in the adult human brain

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation adf5059f-6a2c-4348-a47e-25457af17815 · outbound

This paper cites Modular segregation of structural brain networks supports the development of executive function in youth.

A practical guide to methodological considerations in the controllability of structural brain networks Modular segregation of structural brain networks supports the development of executive function in youth

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Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a1f6648c-f677-443d-95eb-8770d8346c7e · outbound

This paper cites How do efficient coding strategies depend on origins of noise in neural circuits? PLoS Comput Biol , 12(10):e1005150, 2016.

A practical guide to methodological considerations in the controllability of structural brain networks How do efficient coding strategies depend on origins of noise in neural circuits? PLoS Comput Biol , 12(10):e1005150, 2016

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Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2a9b11c7-8808-4350-8f6f-cf04947aa81b · outbound

This paper cites Adaptive coding for dynamic sensory inference.

A practical guide to methodological considerations in the controllability of structural brain networks Adaptive coding for dynamic sensory inference

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation c1485679-8479-44fd-ba1e-3d32b64d7d1c · outbound

This paper cites Slope-based stochastic resonance: how noise enables phasic neurons to encode slow signals.

A practical guide to methodological considerations in the controllability of structural brain networks Slope-based stochastic resonance: how noise enables phasic neurons to encode slow signals

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Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 468bd106-6ee4-4cbf-875a-cc792174d39f · outbound

This paper cites Brain signal variability is parametrically modifiable.

A practical guide to methodological considerations in the controllability of structural brain networks Brain signal variability is parametrically modifiable

Reference 52

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c5aa58d8-a1f0-41db-8575-3bf96e356f66 · outbound

This paper cites Networks, noise and models: reconceptualizing the brain as a complex, distributed system.

A practical guide to methodological considerations in the controllability of structural brain networks Networks, noise and models: reconceptualizing the brain as a complex, distributed system

Reference 53

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 3d584805-5baa-4472-9019-aed24bdbcb13 · outbound

This paper cites Mechanisms of zero-lag synchronization in cortical motifs.

A practical guide to methodological considerations in the controllability of structural brain networks Mechanisms of zero-lag synchronization in cortical motifs

Reference 54

Resolution
verified fuzzy
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Observation 548d79bb-24ae-43ff-afb3-e087dae73c69 · outbound

This paper cites A computa- tional study of stimulus driven epileptic seizure abatement.

A practical guide to methodological considerations in the controllability of structural brain networks A computa- tional study of stimulus driven epileptic seizure abatement

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Resolution
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Source-reported events for the cited work

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Observation 0fb6d8ac-d717-4526-b1a9-79f4dcac7d35 · outbound

This paper cites The theory of optimal processes.

A practical guide to methodological considerations in the controllability of structural brain networks The theory of optimal processes

Reference 56

Resolution
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Source-reported events for the cited work

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Observation d45b2e60-e70a-49d8-8118-be813f12f436 · outbound

This paper cites Linear systems theory.

A practical guide to methodological considerations in the controllability of structural brain networks Linear systems theory

Reference 57

Resolution
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Source-reported events for the cited work

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Observation 6316cdaa-defe-40c4-81ce-fac87881eacb · outbound

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

A practical guide to methodological considerations in the controllability of structural brain networks Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands

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Resolution
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Unavailable: canonical work link unavailable.

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Observation d8a6c59c-9475-42a5-8a66-5f8e094fdaca · outbound

This paper cites Structural control energy of resting-state functional brain states reveals inefficient brain dynamics in psychosis vulnerability.

A practical guide to methodological considerations in the controllability of structural brain networks Structural control energy of resting-state functional brain states reveals inefficient brain dynamics in psychosis vulnerability

Reference 59

Resolution
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Source-reported events for the cited work

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Observation c867a269-c58e-44c0-92ae-47a57e3c0e78 · outbound

This paper cites Structural controllability of symmetric networks.

A practical guide to methodological considerations in the controllability of structural brain networks Structural controllability of symmetric networks

Reference 60

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3b3803c0-d4b6-4b11-82a4-e5a60fd57c97 · outbound

This paper cites Optimal sensor and actuator location for descriptor systems using generalized gramians and balanced realizations.

A practical guide to methodological considerations in the controllability of structural brain networks Optimal sensor and actuator location for descriptor systems using generalized gramians and balanced realizations

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Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation abe2e56d-e5ed-4d82-8f2f-8f76d3d16aae · outbound

This paper cites Optimal sensor and actuator location for unstable systems.

A practical guide to methodological considerations in the controllability of structural brain networks Optimal sensor and actuator location for unstable systems

Reference 62

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 649b4390-3ead-4fad-a29d-6efca5d7b777 · outbound

This paper cites Measures of modal controllability and observability for first-and second-order linear systems.

A practical guide to methodological considerations in the controllability of structural brain networks Measures of modal controllability and observability for first-and second-order linear systems

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Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 716cd5ae-f75d-4f85-ace4-482bba990bc9 · outbound

This paper cites Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python.

A practical guide to methodological considerations in the controllability of structural brain networks Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python

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Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 3cae1c95-95cc-4463-a3cb-a5f0d5bb8b1a · outbound

This paper cites A reproducible evaluation of ants similarity metric performance in brain image registration.

A practical guide to methodological considerations in the controllability of structural brain networks A reproducible evaluation of ants similarity metric performance in brain image registration

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Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 74d0e05b-ccdb-4c01-be7a-f7be126fb23b · outbound

This paper cites Generalized q-sampling imaging.

A practical guide to methodological considerations in the controllability of structural brain networks Generalized q-sampling imaging

Reference 66

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3eb2bf5c-8bc7-40e9-84e7-01ef477d1610 · outbound

This paper cites Deterministic diffusion fiber tracking improved by quantitative anisotropy.

A practical guide to methodological considerations in the controllability of structural brain networks Deterministic diffusion fiber tracking improved by quantitative anisotropy

Reference 67

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d76bfbd7-dc1e-4877-bbc1-3195e4862cbe · outbound

This paper cites Local termination pattern analysis: a tool for comparing white matter morphology.

A practical guide to methodological considerations in the controllability of structural brain networks Local termination pattern analysis: a tool for comparing white matter morphology

Reference 68

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 594db2fe-1278-41b6-b44e-d2116355f4a4 · outbound

This paper cites Conserved and variable architecture of human white matter connectivity.

A practical guide to methodological considerations in the controllability of structural brain networks Conserved and variable architecture of human white matter connectivity

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:23.228108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dbc8e32c-909a-42df-a3fa-ccab96b5c4f0 · outbound

This paper cites Mapping the human connectome at multiple scales with diffusion spectrum mri.

A practical guide to methodological considerations in the controllability of structural brain networks Mapping the human connectome at multiple scales with diffusion spectrum mri

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Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 903d9681-c53f-4713-b036-d25d4722fac4 · outbound

This paper cites The connectome mapper: an open-source processing pipeline to map connectomes with mri.

A practical guide to methodological considerations in the controllability of structural brain networks The connectome mapper: an open-source processing pipeline to map connectomes with mri

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 14b4fcc4-16f7-426e-b072-fd969ba113b2 · outbound

This paper cites an unresolved cited work.

A practical guide to methodological considerations in the controllability of structural brain networks Unresolved cited work

Reference 72

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0b709eae-3ed3-470b-953e-378881f0bae8 · outbound

This paper cites Benchmarking measures of network controllability on canonical graph models.

A practical guide to methodological considerations in the controllability of structural brain networks Benchmarking measures of network controllability on canonical graph models

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:23.183429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fff5b0a1-e159-41d2-8c4a-79e84596cc11 · outbound

This paper cites The control of brain network dynamics across diverse scales of space and time.

A practical guide to methodological considerations in the controllability of structural brain networks The control of brain network dynamics across diverse scales of space and time

Reference 74

Resolution
verified exact
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation afb75113-8690-4878-8f63-1c65e223259c · outbound

This paper cites Complex network measures of brain connectivity: uses and interpreta- tions.

A practical guide to methodological considerations in the controllability of structural brain networks Complex network measures of brain connectivity: uses and interpreta- tions

Reference 75

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0a971c14-4fc0-45af-8b15-ad29cd8de7bb · outbound

This paper cites The contribution of geometry to the human connectome.

A practical guide to methodological considerations in the controllability of structural brain networks The contribution of geometry to the human connectome

Reference 76

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 32ef1bff-b93f-465c-8e82-d0df1594b8b2 · outbound

This paper cites Controllability transition and nonlocality in network control.

A practical guide to methodological considerations in the controllability of structural brain networks Controllability transition and nonlocality in network control

Reference 77

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a88ec817-6eec-491b-9a6f-ecaac3522b73 · outbound

This paper cites The fundamental advantages of temporal networks.

A practical guide to methodological considerations in the controllability of structural brain networks The fundamental advantages of temporal networks

Reference 78

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 99a1fc11-7b41-4ff1-96de-cc3956af111b · outbound

This paper cites Advancing neuromodulation using a dynamic control framework.

A practical guide to methodological considerations in the controllability of structural brain networks Advancing neuromodulation using a dynamic control framework

Reference 79

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f81f479e-4b89-40e7-97f1-5bc6608e7ff7 · outbound

This paper cites Distributed control in a mean-field cortical network model: implications for seizure suppression.

A practical guide to methodological considerations in the controllability of structural brain networks Distributed control in a mean-field cortical network model: implications for seizure suppression

Reference 80

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b84dbbb8-669a-4760-b2d2-4bd97cea541e · outbound

This paper cites Emerging technology for advancing the treatment of epilepsy using a dynamic control framework.

A practical guide to methodological considerations in the controllability of structural brain networks Emerging technology for advancing the treatment of epilepsy using a dynamic control framework

Reference 81

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 71b36bbe-e618-4b58-bda0-9247418f53f2 · outbound

This paper cites Optimal control based seizure abatement using patient derived connectivity.

A practical guide to methodological considerations in the controllability of structural brain networks Optimal control based seizure abatement using patient derived connectivity

Reference 82

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0f80b51b-3a40-459d-8d19-1d91246d7ea1 · outbound

This paper cites Controlling seizure propagation in large- scale brain networks.

A practical guide to methodological considerations in the controllability of structural brain networks Controlling seizure propagation in large- scale brain networks

Reference 83

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 71ff3c39-f2d2-4df1-8f61-dae97cdc5a0a · outbound

This paper cites Closed-loop control of a fragile network: application to seizure-like dynamics of an epilepsy model.

A practical guide to methodological considerations in the controllability of structural brain networks Closed-loop control of a fragile network: application to seizure-like dynamics of an epilepsy model

Reference 84

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b8cd88b7-5c7d-4356-b97b-3991d93be55d · outbound

This paper cites Parameter estimation for maximizing controllability of linear brain-machine interfaces.

A practical guide to methodological considerations in the controllability of structural brain networks Parameter estimation for maximizing controllability of linear brain-machine interfaces

Reference 85

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ad256881-883d-4a7b-9249-5e6e4c87df0c · outbound

This paper cites Learn- ing in brain-computer interface control evidenced by joint decomposition of brain and behavior.

A practical guide to methodological considerations in the controllability of structural brain networks Learn- ing in brain-computer interface control evidenced by joint decomposition of brain and behavior

Reference 86

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a73db3a4-fe88-4884-afc5-8346a560440f · outbound

This paper cites Spectral fingerprints of large-scale neuronal interactions.

A practical guide to methodological considerations in the controllability of structural brain networks Spectral fingerprints of large-scale neuronal interactions

Reference 87

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 03f03223-3452-4279-b4b4-7296a26dac90 · outbound

This paper cites Magnetoencephalography for brain electrophysiology and imaging.

A practical guide to methodological considerations in the controllability of structural brain networks Magnetoencephalography for brain electrophysiology and imaging

Reference 88

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c0801abc-2786-49f6-a4a2-a273ac2d3abe · outbound

This paper cites Observability and controllability of nonlinear networks: The role of symmetry.

A practical guide to methodological considerations in the controllability of structural brain networks Observability and controllability of nonlinear networks: The role of symmetry

Reference 89

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c3db6cbf-f2b8-44a1-92be-4d3f8d0f31b9 · outbound

This paper cites Intrinsic dynamics induce global symmetry in network controllability.

A practical guide to methodological considerations in the controllability of structural brain networks Intrinsic dynamics induce global symmetry in network controllability

Reference 90

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc0e0b0e-3716-498c-8915-f72b3810d78b · outbound

This paper cites Effects of symmetry on the structural controllability of neural networks: A perspective.

A practical guide to methodological considerations in the controllability of structural brain networks Effects of symmetry on the structural controllability of neural networks: A perspective

Reference 91

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e8e1c4ae-cb91-41dd-b221-4db327b3feff · outbound

This paper cites Robust multiobjective controllability of complex neuronal networks.

A practical guide to methodological considerations in the controllability of structural brain networks Robust multiobjective controllability of complex neuronal networks

Reference 92

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c4255e83-4523-4b80-99ac-804083dfd34e · outbound

This paper cites Controlling neural network responsiveness: tradeoffs and constraints.

A practical guide to methodological considerations in the controllability of structural brain networks Controlling neural network responsiveness: tradeoffs and constraints

Reference 93

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 192850da-2e87-47a7-a97e-a94d7dcabb0a · outbound

This paper cites Enabling controlling complex networks with local topological information.

A practical guide to methodological considerations in the controllability of structural brain networks Enabling controlling complex networks with local topological information

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:22.951942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 14ccde68-dede-43c7-9f54-c854cd84bcfc · outbound

This paper cites Control of multilayer networks.

A practical guide to methodological considerations in the controllability of structural brain networks Control of multilayer networks

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:22.940342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:16:22.556519Z digest=sha256:9f0d98e07454e19ff5a144d75fe46ae547a956bc28a92a1fb84cc1bde526c8af

Observation 7a187b79-0fcf-48ca-828f-bac5f94ef26a · outbound

This paper cites Multiobjective identification of controlling areas in neuronal net- works.

A practical guide to methodological considerations in the controllability of structural brain networks Multiobjective identification of controlling areas in neuronal net- works

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:22.927255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:16:22.560062Z digest=sha256:9203358026a5b4f0bff88bd01cccb5b399eeed4b840df7c6a414fd117e399582

Observation 84e2e904-cdbf-40a9-8b14-70500888aea9 · outbound

This paper cites A constrained evolutionary computation method for detecting controlling regions of cortical networks.

A practical guide to methodological considerations in the controllability of structural brain networks A constrained evolutionary computation method for detecting controlling regions of cortical networks

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:22.915268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b1cdd2d4-2ad9-4e82-a37f-5fa3f10e038e · outbound

This paper cites Identifying controlling nodes in neuronal networks in different scales.

A practical guide to methodological considerations in the controllability of structural brain networks Identifying controlling nodes in neuronal networks in different scales

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:22.902780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:16:22.567535Z digest=sha256:99c1a9bb650800f88644fe8516be5229184e956456032b33164b2a74ddfa56f5

Observation b06ebd16-502b-4831-b329-3f78e34e7dd6 · outbound

This paper cites Realistic control of network dynamics.

A practical guide to methodological considerations in the controllability of structural brain networks Realistic control of network dynamics

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:22.890212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:16:22.572035Z digest=sha256:abfc4c1318de521737f661f25d5a8bfe87c715656a05e147bfd72ffec8165158

Observation 5509344a-0046-4fa0-8bfb-b082858bc1f5 · outbound

This paper cites Networkcontrology.

A practical guide to methodological considerations in the controllability of structural brain networks Networkcontrology

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:16:22.878528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:16:22.576857Z digest=sha256:030ffb8272c441bda156fe2e6c8311b6983b12bd83c0fc283277491778aaee0a

Pith citing papers

No inbound Pith citation observations are available.