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Paper Citation Record · LEDGER

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications

As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2607.17602.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.17602 v1

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Outbound references

Observation 862f3599-bd36-4e13-9307-33750e2f9f56 · outbound

This paper cites Electromagnetic brain mapping.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Electromagnetic brain mapping

Reference 1

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This paper cites Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain

Reference 2

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This paper cites Exploration and modulation of brain network interactions with noninvasive brain stimulation in combination with neuroimaging.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Exploration and modulation of brain network interactions with noninvasive brain stimulation in combination with neuroimaging

Reference 3

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This paper cites Electrophysiological imaging of brain activity and connectivity-challenges and opportunities.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Electrophysiological imaging of brain activity and connectivity-challenges and opportunities

Reference 4

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This paper cites Exploring the extent of source imaging: Recent advances in noninvasive electromagnetic brain imaging.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Exploring the extent of source imaging: Recent advances in noninvasive electromagnetic brain imaging

Reference 5

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This paper cites The role of the salience network in cognitive and affective deficits.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications The role of the salience network in cognitive and affective deficits

Reference 6

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This paper cites EEG and MEG: forward solutions for inverse methods.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications EEG and MEG: forward solutions for inverse methods

Reference 7

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This paper cites Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity

Reference 8

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This paper cites Boundary element fast multipole method for enhanced modeling of neurophysiological recordings.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Boundary element fast multipole method for enhanced modeling of neurophysiological recordings

Reference 9

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This paper cites Numerical mathematics of the subtraction method for the modeling of a current dipole in EEG source reconstruction using finite element head models.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Numerical mathematics of the subtraction method for the modeling of a current dipole in EEG source reconstruction using finite element head models

Reference 10

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This paper cites Modelling of brain sources using the modified saint Venant’s method in FEM resolution of EEG forward problem.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Modelling of brain sources using the modified saint Venant’s method in FEM resolution of EEG forward problem

Reference 11

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This paper cites OpenMEEG: opensource software for quasistatic bioelectromagnetics.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications OpenMEEG: opensource software for quasistatic bioelectromagnetics

Reference 12

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This paper cites Bioelectromagnetism in human brain research: New applications, new questions.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Bioelectromagnetism in human brain research: New applications, new questions

Reference 13

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications The influence of brain tissue anisotropy on human EEG and MEG

Reference 14

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications A guideline for head volume conductor modeling in EEG and MEG

Reference 15

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications The University of Münster DUNEuro-based pipeline to create personalized head models with calibrated skull conductivity for EEG/MEG source analysis and optimized multi-channel tES

Reference 16

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications DUNEuro-A software toolbox for forward modeling in bioelectromagnetism

Reference 17

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Brainstorm: a user-friendly application for MEG/EEG analysis

Reference 18

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Global sensitivity of EEG source analysis to tissue conductivity uncertainties

Reference 19

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This paper cites Validating EEG, MEG and combined MEG and EEG beamforming for an estimation of the epileptogenic zone in focal cortical dysplasia.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Validating EEG, MEG and combined MEG and EEG beamforming for an estimation of the epileptogenic zone in focal cortical dysplasia

Reference 20

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This paper cites A probabilistic atlas of the human brain: Theory and rationale for its development.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications A probabilistic atlas of the human brain: Theory and rationale for its development

Reference 21

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This paper cites A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI

Reference 22

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Generic head models for atlas-based EEG source analysis

Reference 23

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications BrainSuite: an automated cortical surface identification tool

Reference 24

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Statistical parametric maps in functional imaging: A general linear approach

Reference 25

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Tetrahedral mesh generation from volumetric binary and grayscale images

Reference 26

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Volume conduction effects in EEG and MEG

Reference 27

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications A tutorial review of functional connectivity analysis methods and their interpretational pitfalls

Reference 28

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Ghost interactions in MEG/EEG source space: A note of caution on inter-areal coupling measures

Reference 29

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Functional and effective connectivity: a review

Reference 30

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Volume conduction influences scalp-based connectivity estimates

Reference 31

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Source connectivity analysis with MEG and EEG

Reference 32

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications EEG functional connectivity analysis in the source space

Reference 33

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Review on solving the inverse problem in EEG source analysis

Reference 34

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Review of methods for solving the EEG inverse problem

Reference 35

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications EEG source imaging: A practical review of the analysis steps

Reference 36

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Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Multiple dipole modeling and localization from spatio-temporal MEG data

Reference 37

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Observation 1186d245-2f38-4a59-88c0-f4f157298def · outbound

This paper cites On MEG forward modelling using multipolar expansions.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications On MEG forward modelling using multipolar expansions

Reference 38

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Source-reported events for the cited work

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Observation 99391db9-626f-4a99-8abe-04683e5ee962 · outbound

This paper cites Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity

Reference 39

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Observation 94e61cda-75d1-4acd-a94b-0806dc5b2a23 · outbound

This paper cites Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details

Reference 40

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Observation f4be54b0-f4d9-4077-9d5c-efaa1cfca26a · outbound

This paper cites EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy

Reference 41

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 86f446c2-f981-4075-92b0-1b3541ff91a1 · outbound

This paper cites FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data

Reference 42

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Observation 1a725b2b-0c08-4ee7-a555-a02c5ccad8de · outbound

This paper cites EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

Reference 43

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source=pdf_text observed=2026-08-01T17:33:56.074894Z digest=sha256:3b320b59a39e913ee315eca87a6edcd3d6a69a5b4f8c626d5750d44ce3f7ef0f

Observation 2355802b-9947-4a08-829a-f95ef7bcaa52 · outbound

This paper cites MEG and EEG data analysis with MNE-Python.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications MEG and EEG data analysis with MNE-Python

Reference 44

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Observation d1b9e851-1162-425d-baef-da7a04618073 · outbound

This paper cites Identifying true brain interaction from EEG data using the imaginary part of coherency.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Identifying true brain interaction from EEG data using the imaginary part of coherency

Reference 45

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source=pdf_text observed=2026-08-01T17:33:56.286293Z digest=sha256:e0483601446533a7f4745570d9e9f44df2b81ee48e6a30163f4bdb6b85baf11b

Observation 1795e763-617c-491a-85a2-027584eb4961 · outbound

This paper cites Measuring phase synchrony in brain signals.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Measuring phase synchrony in brain signals

Reference 46

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Observation 88a823e2-d249-46af-a781-9b9bb3bd7baf · outbound

This paper cites An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias

Reference 47

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source=pdf_text observed=2026-08-01T17:33:56.396757Z digest=sha256:69d453866b48a82cc8413720f85e79023bb7fd38e396c762b201821f27f9b4f6

Observation b235f0fb-abdf-4a47-89bb-a3847187d33a · outbound

This paper cites Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources

Reference 48

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source=pdf_text observed=2026-08-01T17:33:56.524916Z digest=sha256:5e4146a5d02c2f839e21cc14ffe3d5e4f97884e7ac66388d96bff66e2ac72ab5

Observation a8ad5b23-9bcd-469a-8559-5c574d685d90 · outbound

This paper cites Differential classification of states of consciousness using envelope- and phase-based functional connectivity.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Differential classification of states of consciousness using envelope- and phase-based functional connectivity

Reference 49

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Observation c26e9bbb-3104-4bce-874f-2b995447cf0f · outbound

This paper cites Large-scale cortical correlation structure of spontaneous oscillatory activity.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Large-scale cortical correlation structure of spontaneous oscillatory activity

Reference 50

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Observation 5bf09420-9402-4713-b8c3-5dbf926039f6 · outbound

This paper cites A systematic framework for functional connectivity measures.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications A systematic framework for functional connectivity measures

Reference 51

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Observation 6bccc500-92c8-428f-83ac-bde52b768fb5 · outbound

This paper cites Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG

Reference 52

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d852c2bb-ce23-4e1f-bb72-d504c5da5deb · outbound

This paper cites Structure and function of complex brain networks.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Structure and function of complex brain networks

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c4f66c95-bdb4-48a6-a6b5-c55ffb2498b0 · outbound

This paper cites Effective connectivity: influence, causality and biophysical modeling.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Effective connectivity: influence, causality and biophysical modeling

Reference 54

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Observation d433e320-4947-4967-852c-13d63a80b8d3 · outbound

This paper cites Connectivity analysis in EEG data: A tutorial review of the state of the art and emerging trends.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Connectivity analysis in EEG data: A tutorial review of the state of the art and emerging trends

Reference 55

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Observation 83125184-ec05-4d60-a577-70616e2a5d01 · outbound

This paper cites Investigating causal relations by econometric models and cross-spectral methods.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Investigating causal relations by econometric models and cross-spectral methods

Reference 56

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Observation fd3dfe02-f2fa-4412-8ea9-f35e392f798a · outbound

This paper cites Dynamic causal modelling.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Dynamic causal modelling

Reference 57

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source=pdf_text observed=2026-08-01T17:33:57.570858Z digest=sha256:3eca27e114c10b1bde75d502d06e746f6f7cd6449b029683ddd945bdbdb7c576

Observation b93bc3ae-c62f-4220-a553-79401a770586 · outbound

This paper cites Dynamic causal modeling for EEG and MEG.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Dynamic causal modeling for EEG and MEG

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6a2f681c-be08-4ec1-9703-599af027197a · outbound

This paper cites Transfer entropy--a model-free measure of effective connectivity for the neurosciences.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Transfer entropy--a model-free measure of effective connectivity for the neurosciences

Reference 59

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Observation 616bf13a-0d4f-459f-9421-9c22cc922ad0 · outbound

This paper cites Robustly estimating the flow direction of information in complex physical systems.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Robustly estimating the flow direction of information in complex physical systems

Reference 60

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b26291da-9f12-4348-8d53-837baaed3ef0 · outbound

This paper cites PracticalMeeg2025: Brainstorm hands-on tutorial.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications PracticalMeeg2025: Brainstorm hands-on tutorial

Reference 61

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Observation 410277b3-164c-41f0-bb05-223667ff4590 · outbound

This paper cites Good scientific practice in EEG and MEG research: Progress and perspectives.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications Good scientific practice in EEG and MEG research: Progress and perspectives

Reference 62

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Observation 18cda2f7-5bc1-4a84-9b5e-747e24ad7ac2 · outbound

This paper cites BrainSuite BIDS App: Containerized workflows for MRI analysis.

Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications BrainSuite BIDS App: Containerized workflows for MRI analysis

Reference 63

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.