Brain connectivity measures: computation and comparison

Stevanovic, Aleksandar; Perović, Aleksandar; Borovčanin, Momčilo

doi:10.1140/epjnbp2

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…The allied PDCs presented here should not be confused with the purpose of many recent papers [31,11,10,15] that compare connectivity techniques, DTF and PDC among them.…”

Section: Discussionmentioning

confidence: 99%

“…Because many researchers often do not quite realize the conceptual differences between DTF and PDC, this is a good time to stress that they intrinsically measure different aspects of the connectivity between neural structures and neither is conceptually better than the other [15], complementary description aspects emerge when more than just two structures are simultaneously examined. This is clear from Ex.…”

Section: Discussionmentioning

confidence: 99%

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Consolidating a Link Centered Neural Connectivity Framework with Directed Transfer Function Asymptotics

Baccalá,

Takahashi,

Sameshima

2015

Preprint

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We present a unified mathematical derivation of the asymptotic behaviour of three of the main forms of directed transfer function (DTF) complementing recent partial directed coherence (PDC) results [3]. Based on these results and numerical examples we argue for a new directed 'link' centered neural connectivity framework to replace the widespread correlation based effective/functional network concepts so that directed network influences between structures become classified as to whether links are active in a direct or in an indirect way thereby leading to the new notions of Granger connectivity and Granger influenciability which are more descriptive than speaking of Granger causality alone.

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“…The allied PDCs presented here should not be confused with the purpose of many recent papers [31,11,10,15] that compare connectivity techniques, DTF and PDC among them.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Consolidating a Link Centered Neural Connectivity Framework with Directed Transfer Function Asymptotics

Baccalá,

Takahashi,

Sameshima

2015

Preprint

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“…Coherence is typically calculated using mean cross-power density over respective mean auto-power spectral densities. Different methods have been developed to calculate brain connectivity, and mindfulness training has been shown to modulate brain connectivity in diverse populations ( Kilpatrick et al, 2011 ; Jovanovic et al, 2013 ; Lifshitz et al, 2019 ; Li et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Increased neurocardiological interplay after mindfulness meditation: a brain oscillation-based approach

Gao

Sun

Leung

et al. 2023

Front. Hum. Neurosci.

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BackgroundBrain oscillations facilitate interaction within the brain network and between the brain and heart activities, and the alpha wave, as a prominent brain oscillation, plays a major role in these coherent activities. We hypothesize that mindfully breathing can make the brain and heart activities more coherent in terms of increased connectivity between the electroencephalogram (EEG) and electrocardiogram (ECG) signals.MethodsEleven participants (28–52 years) attended 8 weeks of Mindfulness Based Stress Reduction (MBSR) training. EEG and ECG data of two states of mindful breathing and rest, both eye-closed, were recorded before and after the training. EEGLAB was used to analyze the alpha band (8–12 Hz) power, alpha peak frequency (APF), peak power and coherence. FMRIB toolbox was used to extract the ECG data. Heart coherence (HC) and heartbeat evoked potential (HEP) were calculated for further correlation analysis.ResultsAfter 8 weeks of MBSR training, the correlation between APF and HC increased significantly in the middle frontal region and bilateral temporal regions. The correlation between alpha coherence and heart coherence had similar changes, while alpha peak power did not reflect such changes. In contrast, spectrum analysis alone did not show difference before and after MBSR training.ConclusionThe brain works in rhythmic oscillation, and this rhythmic connection becomes more coherent with cardiac activity after 8 weeks of MBSR training. Individual APF is relatively stable and its interplay with cardiac activity may be a more sensitive index than power spectrum by monitoring the brain-heart connection. This preliminary study has important implications for the neuroscientific measurement of meditative practice.

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Topographical assessment of neurocortical connectivity by using directed transfer function and partial directed coherence during meditation

Shaw

Routray

2018

Cogn Process

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Due to the presence of nonlinearity and volume conduction in electroencephalography (EEG), sometimes it's challenging to find out the actual brain network from neurodynamical alteration. In this paper, two well-known time-frequency brain connectivity measures, namely partial directed coherence (PDC) and directed transfer function (DTF), have been applied to evaluate the performance analysis of EEG signals obtained during meditation. These measures are implemented to the multichannel meditation EEG data to get the directed neural information flow. Mostly the assessment of PDC and DTF is entirely subjective and there are probabilities to have erroneous connectivity estimation. To avoid the subjective evaluation, the performance results are compared in terms of absolute energy, signal-to-noise ratio (SNR) and relative SNR (R-SNR) scale. In most of the cases, the PDC result is found to be more efficient than DTF. The limitation of DTF and PDC in terms of the time-varying multivariate autoregressive (MVAR) model is highlighted. The time-varying MVAR model can track the neurodynamical changes better than any other method. In the present study, we would like to show that the PDC-based connectivity gives a better understanding of the non-symmetric relation in EEG obtained during Kriya Yoga meditation in comparison to DTF. However, it needs to be investigated further to warrant this claim.

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Brain connectivity measures: computation and comparison

Cited by 10 publications

References 23 publications

Consolidating a Link Centered Neural Connectivity Framework with Directed Transfer Function Asymptotics

Consolidating a Link Centered Neural Connectivity Framework with Directed Transfer Function Asymptotics

Increased neurocardiological interplay after mindfulness meditation: a brain oscillation-based approach

Topographical assessment of neurocortical connectivity by using directed transfer function and partial directed coherence during meditation

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