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Erschienen in: Cognitive Neurodynamics 2/2023

02.07.2022 | Brief Communication

Frequency-dependent effective connections between local signals and the global brain signal during resting-state

verfasst von: Yifeng Wang, Chengxiao Yang, Gen Li, Yujia Ao, Muliang Jiang, Qian Cui, Yajing Pang, Xiujuan Jing

Erschienen in: Cognitive Neurodynamics | Ausgabe 2/2023

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Abstract

The psychological and physiological meanings of resting-state global brain signal (GS) and GS topography have been well confirmed. However, the causal relationship between GS and local signals was largely unknown. Based on the Human Connectome Project dataset, we investigated the effective GS topography using the Granger causality (GC) method. In consistent with GS topography, both effective GS topographies from GS to local signals and from local signals to GS showed greater GC values in sensory and motor regions in most frequency bands, suggesting that the unimodal superiority is an intrinsic architecture of GS topography. However, the significant frequency effect for GC values from GS to local signals was primarily located in unimodal regions and dominated at slow 4 frequency band whereas that from local signals to GS was mainly located in transmodal regions and dominated at slow 6 frequency band, consisting with the opinion that the more integrated the function, the lower the frequency. These findings provided valuable insight for the frequency-dependent effective GS topography, improving the understanding of the underlying mechanism of GS topography.

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Literatur
Zurück zum Zitat Alcauter S, Lin W, Smith JK, Goldman BD, Reznick JS, Gilmore JH, Gao W (2015) Frequency of spontaneous BOLD signal shifts during infancy and correlates with cognitive performance. Dev Cogn Neurosci 12:40–50CrossRefPubMed Alcauter S, Lin W, Smith JK, Goldman BD, Reznick JS, Gilmore JH, Gao W (2015) Frequency of spontaneous BOLD signal shifts during infancy and correlates with cognitive performance. Dev Cogn Neurosci 12:40–50CrossRefPubMed
Zurück zum Zitat Ao Y, Kou J, Yang C, Wang Y, Huang L, Jing X, Cui Q, Cai X, Chen J (2022) The temporal dedifferentiation of global brain signal fluctuations during human brain ageing. Sci Rep 12:3616CrossRefPubMedPubMedCentral Ao Y, Kou J, Yang C, Wang Y, Huang L, Jing X, Cui Q, Cai X, Chen J (2022) The temporal dedifferentiation of global brain signal fluctuations during human brain ageing. Sci Rep 12:3616CrossRefPubMedPubMedCentral
Zurück zum Zitat Ao Y, Ouyang Y, Yang C, Wang Y (2021) Global signal topography of the human brain: a novel framework of functional connectivity for psychological and pathological investigations. Front Hum Neurosci 15:644892CrossRefPubMedPubMedCentral Ao Y, Ouyang Y, Yang C, Wang Y (2021) Global signal topography of the human brain: a novel framework of functional connectivity for psychological and pathological investigations. Front Hum Neurosci 15:644892CrossRefPubMedPubMedCentral
Zurück zum Zitat Buzsáki G (2006) Rhythms of the brain. Oxford University Press, New YorkCrossRef Buzsáki G (2006) Rhythms of the brain. Oxford University Press, New YorkCrossRef
Zurück zum Zitat Chen Y, Bressler SL, Ding M (2006) Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. J Neurosci Methods 150:228–237CrossRefPubMed Chen Y, Bressler SL, Ding M (2006) Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. J Neurosci Methods 150:228–237CrossRefPubMed
Zurück zum Zitat Fan L, Li H, Zhuo J, Zhang Y, Wang J, Chen L, Yang Z, Chu C, Xie S, Laird AR, Fox PT, Eickhoff SB, Yu C, Jiang T (2016) The human brainnetome atlas: a new brain atlas based on connectional architecture. Cereb Cortex 26(8):3508–3526CrossRefPubMedPubMedCentral Fan L, Li H, Zhuo J, Zhang Y, Wang J, Chen L, Yang Z, Chu C, Xie S, Laird AR, Fox PT, Eickhoff SB, Yu C, Jiang T (2016) The human brainnetome atlas: a new brain atlas based on connectional architecture. Cereb Cortex 26(8):3508–3526CrossRefPubMedPubMedCentral
Zurück zum Zitat Gao Z, Dang W, Wang X, Hong X, Hou L, Ma K, Perc M (2021) Complex networks and deep learning for EEG signal analysis. Cogn Neurodyn 15:369–388CrossRefPubMed Gao Z, Dang W, Wang X, Hong X, Hou L, Ma K, Perc M (2021) Complex networks and deep learning for EEG signal analysis. Cogn Neurodyn 15:369–388CrossRefPubMed
Zurück zum Zitat Glasser, M. F., S. N. Sotiropoulos, J. A. Wilson, T. S. Coalson, B. Fischl, J. L. Andersson, J. Xu, S. Jbabdi, M. Webster, J. R. Polimeni, D. C. Van Essen, M. Jenkinson and W. U.-M. H. Consortium (2013) The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 80:105–124CrossRef Glasser, M. F., S. N. Sotiropoulos, J. A. Wilson, T. S. Coalson, B. Fischl, J. L. Andersson, J. Xu, S. Jbabdi, M. Webster, J. R. Polimeni, D. C. Van Essen, M. Jenkinson and W. U.-M. H. Consortium (2013) The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 80:105–124CrossRef
Zurück zum Zitat Glerean E, Salmi J, Lahnakoski JM, Jaaskelainen IP, Sams M (2012) Functional magnetic resonance imaging phase synchronization as a measure of dynamic functional connectivity. Brain Connect 2(2):91–101CrossRefPubMedPubMedCentral Glerean E, Salmi J, Lahnakoski JM, Jaaskelainen IP, Sams M (2012) Functional magnetic resonance imaging phase synchronization as a measure of dynamic functional connectivity. Brain Connect 2(2):91–101CrossRefPubMedPubMedCentral
Zurück zum Zitat Gong Z-Q, Gao P, Jiang C, Xing X-X, Dong H-M, White T, Castellanos FX, Li H-F, Zuo X-N (2021) DREAM: a toolbox to decode rhythms of the brain system. Neuroinformatics 19(3):529–545CrossRefPubMedPubMedCentral Gong Z-Q, Gao P, Jiang C, Xing X-X, Dong H-M, White T, Castellanos FX, Li H-F, Zuo X-N (2021) DREAM: a toolbox to decode rhythms of the brain system. Neuroinformatics 19(3):529–545CrossRefPubMedPubMedCentral
Zurück zum Zitat Granger CWJ (1969) Investigationg causal relations by econometric models and cross-spectral methods. Econometrica 37(3):424–438CrossRef Granger CWJ (1969) Investigationg causal relations by econometric models and cross-spectral methods. Econometrica 37(3):424–438CrossRef
Zurück zum Zitat Gutierrez-Barragan D, Basson MA, Panzeri S, Gozzi A (2019) Infraslow state fluctuations govern spontaneous fMRI network dynamics. Curr Biol 29(14):2295–2306CrossRefPubMedPubMedCentral Gutierrez-Barragan D, Basson MA, Panzeri S, Gozzi A (2019) Infraslow state fluctuations govern spontaneous fMRI network dynamics. Curr Biol 29(14):2295–2306CrossRefPubMedPubMedCentral
Zurück zum Zitat Gutierrez-Barragan D, Singh NA, Alvino FG, Coletta L, Rocchi F, Guzman ED, Galbusera A, Uboldi M, Panzeri S, Gozzi A (2022) Unique spatiotemporal fMRI dynamics in the awake mouse brain. Curr Biol 32:1–14CrossRef Gutierrez-Barragan D, Singh NA, Alvino FG, Coletta L, Rocchi F, Guzman ED, Galbusera A, Uboldi M, Panzeri S, Gozzi A (2022) Unique spatiotemporal fMRI dynamics in the awake mouse brain. Curr Biol 32:1–14CrossRef
Zurück zum Zitat Huntenburg JM, Bazin P-L, Margulies DS (2018) Large-scale gradients in human cortical organization. Trends Cogn Sci 22(1):21–31CrossRefPubMed Huntenburg JM, Bazin P-L, Margulies DS (2018) Large-scale gradients in human cortical organization. Trends Cogn Sci 22(1):21–31CrossRefPubMed
Zurück zum Zitat Kim J, Criaud M, Cho SS, Díez-Cirarda M, Mihaescu A, Coakeley S, Ghadery C, Valli M, Jacobs MF, Houle S, Strafella AP (2017) Abnormal intrinsic brain functional network dynamics in Parkinson’s disease. Brain 140(11):2955–2967CrossRefPubMedPubMedCentral Kim J, Criaud M, Cho SS, Díez-Cirarda M, Mihaescu A, Coakeley S, Ghadery C, Valli M, Jacobs MF, Houle S, Strafella AP (2017) Abnormal intrinsic brain functional network dynamics in Parkinson’s disease. Brain 140(11):2955–2967CrossRefPubMedPubMedCentral
Zurück zum Zitat Li J, Bolt T, Bzdok D, Nomi JS, Yeo BTT, Spreng RN, Uddin LQ (2019) Topography and behavioral relevance of the global signal in the human brain. Sci Rep 9:14286CrossRefPubMedPubMedCentral Li J, Bolt T, Bzdok D, Nomi JS, Yeo BTT, Spreng RN, Uddin LQ (2019) Topography and behavioral relevance of the global signal in the human brain. Sci Rep 9:14286CrossRefPubMedPubMedCentral
Zurück zum Zitat Marinazzo D, Pellicoro M, Stramaglia S (2012) Causal information approach to partial conditioning in multivariate data sets. Comput Math Methods Med 2012:303601CrossRefPubMedPubMedCentral Marinazzo D, Pellicoro M, Stramaglia S (2012) Causal information approach to partial conditioning in multivariate data sets. Comput Math Methods Med 2012:303601CrossRefPubMedPubMedCentral
Zurück zum Zitat Mitra A, Kraft A, Wright P, Acland B, Snyder AZ, Rosenthal Z, Czerniewski L, Bauer A, Snyder L, Culver J, Lee J-M, Raichle ME (2018) Spontaneous infra-slow brain activity has unique spatiotemporal dynamics and laminar structure. Neuron 98(2):297–305CrossRefPubMedPubMedCentral Mitra A, Kraft A, Wright P, Acland B, Snyder AZ, Rosenthal Z, Czerniewski L, Bauer A, Snyder L, Culver J, Lee J-M, Raichle ME (2018) Spontaneous infra-slow brain activity has unique spatiotemporal dynamics and laminar structure. Neuron 98(2):297–305CrossRefPubMedPubMedCentral
Zurück zum Zitat Murphy K, Fox MD (2017) Towards a consensus regarding global signal regression for resting state functional connectivity MRI. Neuroimage 154:169–173CrossRefPubMed Murphy K, Fox MD (2017) Towards a consensus regarding global signal regression for resting state functional connectivity MRI. Neuroimage 154:169–173CrossRefPubMed
Zurück zum Zitat Musch K, Honey CJ (2018) Causal Evidence for a neural component of spatially global hemodynamic signals. Neuron 97(4):734–736CrossRefPubMed Musch K, Honey CJ (2018) Causal Evidence for a neural component of spatially global hemodynamic signals. Neuron 97(4):734–736CrossRefPubMed
Zurück zum Zitat Scalabrini A, Vai B, Poletti S, Damiani S, Mucci C, Colombo C, Zanardi R, Benedetti F, Northoff G (2020) All roads lead to the default-mode network—global source of DMN abnormalities in major depressive disorder. Neuropsychopharmacology 45:2058–2069CrossRefPubMedPubMedCentral Scalabrini A, Vai B, Poletti S, Damiani S, Mucci C, Colombo C, Zanardi R, Benedetti F, Northoff G (2020) All roads lead to the default-mode network—global source of DMN abnormalities in major depressive disorder. Neuropsychopharmacology 45:2058–2069CrossRefPubMedPubMedCentral
Zurück zum Zitat Turchi J, Chang C, Ye FQ, Russ BE, Yu DK, Cortes CR, Monosov IE, Duyn JH, Leopold DA (2018) The basal forebrain regulates global resting-state fMRI fluctuations. Neuron 97(4):940–952CrossRefPubMedPubMedCentral Turchi J, Chang C, Ye FQ, Russ BE, Yu DK, Cortes CR, Monosov IE, Duyn JH, Leopold DA (2018) The basal forebrain regulates global resting-state fMRI fluctuations. Neuron 97(4):940–952CrossRefPubMedPubMedCentral
Zurück zum Zitat Van Essen, D. C., S. M. Smith, D. M. Barch, T. E. Behrens, E. Yacoub, K. Ugurbil and W. U.-M. H. Consortium (2013) The WU-Minn Human Connectome Project: an overview. Neuroimage 80:62–79CrossRef Van Essen, D. C., S. M. Smith, D. M. Barch, T. E. Behrens, E. Yacoub, K. Ugurbil and W. U.-M. H. Consortium (2013) The WU-Minn Human Connectome Project: an overview. Neuroimage 80:62–79CrossRef
Zurück zum Zitat Wang X, Liao W, Han S, Li J, Wang Y, Zhang Y, Zhao J, Chen H (2021) Frequency-specific altered global signal topography in drug-naive first-episode patients with adolescent-onset schizophrenia. Brain Imaging Behav 15(4):1876–1885CrossRefPubMed Wang X, Liao W, Han S, Li J, Wang Y, Zhang Y, Zhao J, Chen H (2021) Frequency-specific altered global signal topography in drug-naive first-episode patients with adolescent-onset schizophrenia. Brain Imaging Behav 15(4):1876–1885CrossRefPubMed
Zurück zum Zitat Wang Y-F, Dai G-S, Liu F, Long Z-L, Yan JH, Chen H-F (2015) Steady-state BOLD response to higher-order cognition modulates low frequency neural oscillations. J Cogn Neurosci 27(12):2406–2415CrossRefPubMed Wang Y-F, Dai G-S, Liu F, Long Z-L, Yan JH, Chen H-F (2015) Steady-state BOLD response to higher-order cognition modulates low frequency neural oscillations. J Cogn Neurosci 27(12):2406–2415CrossRefPubMed
Zurück zum Zitat Wang Y-F, Liu F, Long Z-L, Duan X-J, Cui Q, Yan JH, Chen H-F (2014) Steady-state BOLD response modulates low frequency neural oscillations. Sci Rep 4:7376CrossRefPubMedPubMedCentral Wang Y-F, Liu F, Long Z-L, Duan X-J, Cui Q, Yan JH, Chen H-F (2014) Steady-state BOLD response modulates low frequency neural oscillations. Sci Rep 4:7376CrossRefPubMedPubMedCentral
Zurück zum Zitat Wang Y, Huang X, Yang X, Yang Q, Wang X, Northoff G, Pang Y, Wang C, Cui Q, Chen H (2019a) Low-frequency phase-locking of brain signals contribute to efficient face recognition. Neuroscience 422:172–183CrossRefPubMed Wang Y, Huang X, Yang X, Yang Q, Wang X, Northoff G, Pang Y, Wang C, Cui Q, Chen H (2019a) Low-frequency phase-locking of brain signals contribute to efficient face recognition. Neuroscience 422:172–183CrossRefPubMed
Zurück zum Zitat Wang Y, Zhu L, Zou Q, Cui Q, Liao W, Duan X, Biswal B, Chen H (2018) Frequency dependent hub role of the dorsal and ventral right anterior insula. Neuroimage 165:112–117CrossRefPubMed Wang Y, Zhu L, Zou Q, Cui Q, Liao W, Duan X, Biswal B, Chen H (2018) Frequency dependent hub role of the dorsal and ventral right anterior insula. Neuroimage 165:112–117CrossRefPubMed
Zurück zum Zitat Wang Y, Zou Q, Ao Y, Liu Y, Ouyang Y, Wang X, Biswal B, Cui Q, Chen H (2020) Frequency-dependent circuits anchored in the dorsal and ventral left anterior insula. Sci Rep 10:16394CrossRefPubMedPubMedCentral Wang Y, Zou Q, Ao Y, Liu Y, Ouyang Y, Wang X, Biswal B, Cui Q, Chen H (2020) Frequency-dependent circuits anchored in the dorsal and ventral left anterior insula. Sci Rep 10:16394CrossRefPubMedPubMedCentral
Zurück zum Zitat Wang YF, Wang XQ, Ye LK, Yang Q, Cui Q, He ZL, Li LY, Yang XZ, Zou QJ, Yang P, Liu DF, Chen HF (2019b) Spatial complexity of brain signal is altered in patients with generalized anxiety disorder. J Affect Disord 246:387–393CrossRefPubMed Wang YF, Wang XQ, Ye LK, Yang Q, Cui Q, He ZL, Li LY, Yang XZ, Zou QJ, Yang P, Liu DF, Chen HF (2019b) Spatial complexity of brain signal is altered in patients with generalized anxiety disorder. J Affect Disord 246:387–393CrossRefPubMed
Zurück zum Zitat Wong CW, Olafsson V, Tal O, Liu TT (2013) The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures. Neuroimage 83:983–990CrossRefPubMed Wong CW, Olafsson V, Tal O, Liu TT (2013) The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures. Neuroimage 83:983–990CrossRefPubMed
Zurück zum Zitat Worsley KJ, Marrett S, Neelin P, Vandal AC, Friston KJ, Evans AC (1996) A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapp 4(1):58–73CrossRefPubMed Worsley KJ, Marrett S, Neelin P, Vandal AC, Friston KJ, Evans AC (1996) A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapp 4(1):58–73CrossRefPubMed
Zurück zum Zitat Wu G-R, Liao W, Stramaglia S, Ding J-R, Chen H, Marinazzo D (2013a) A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Med Image Anal 17(3):365–374CrossRefPubMed Wu G-R, Liao W, Stramaglia S, Ding J-R, Chen H, Marinazzo D (2013a) A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Med Image Anal 17(3):365–374CrossRefPubMed
Zurück zum Zitat Wu G-R, Stramaglia S, Chen H, Liao W, Marinazzo D (2013b) Mapping the voxel-wise effective connectome in resting state fMRI. PLoS ONE 8(9):e73670CrossRefPubMedPubMedCentral Wu G-R, Stramaglia S, Chen H, Liao W, Marinazzo D (2013b) Mapping the voxel-wise effective connectome in resting state fMRI. PLoS ONE 8(9):e73670CrossRefPubMedPubMedCentral
Zurück zum Zitat Yan C-G, Zang Y-F (2010) DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Front Syst Neurosci 4:13 Yan C-G, Zang Y-F (2010) DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Front Syst Neurosci 4:13
Zurück zum Zitat Yang Y, Cui Q, Pang Y, Chen Y, Tang Q, Guo X, Han S, Fateh AA, Lu F, He Z, Huang J, Xie A, Li D, Lei T, Wang Y, Chen H (2021) Frequency-specific alteration of functional connectivity density in bipolar disorder depression. Progress Neuropsychopharmacol Biol Psychiatry 104:110026CrossRef Yang Y, Cui Q, Pang Y, Chen Y, Tang Q, Guo X, Han S, Fateh AA, Lu F, He Z, Huang J, Xie A, Li D, Lei T, Wang Y, Chen H (2021) Frequency-specific alteration of functional connectivity density in bipolar disorder depression. Progress Neuropsychopharmacol Biol Psychiatry 104:110026CrossRef
Zurück zum Zitat Zhang H, Zhang L, Zang Y (2015) Fluctuation amplitude and local synchronization of brain activity in the ultra-low frequency band: an fMRI investigation of continuous feedback of finger force. Brain Res 1629:104–112CrossRefPubMed Zhang H, Zhang L, Zang Y (2015) Fluctuation amplitude and local synchronization of brain activity in the ultra-low frequency band: an fMRI investigation of continuous feedback of finger force. Brain Res 1629:104–112CrossRefPubMed
Zurück zum Zitat Zhang J, Magioncalda P, Huang Z, Tan Z, Hu X, Hu Z, Conio B, Amore M, Inglese M, Martino M (2019) Altered global signal topography and its different regional localization in motor cortex and hippocampus in mania and depression. Schizophr Bull 45(4):902–910CrossRefPubMed Zhang J, Magioncalda P, Huang Z, Tan Z, Hu X, Hu Z, Conio B, Amore M, Inglese M, Martino M (2019) Altered global signal topography and its different regional localization in motor cortex and hippocampus in mania and depression. Schizophr Bull 45(4):902–910CrossRefPubMed
Zurück zum Zitat Zhang W, Guo L, Liu D, Xu G (2020) The dynamic properties of a brain network during working memory based on the algorithm of cross-frequency coupling. Cogn Neurodyn 14:215–228CrossRefPubMed Zhang W, Guo L, Liu D, Xu G (2020) The dynamic properties of a brain network during working memory based on the algorithm of cross-frequency coupling. Cogn Neurodyn 14:215–228CrossRefPubMed
Metadaten
Titel
Frequency-dependent effective connections between local signals and the global brain signal during resting-state
verfasst von
Yifeng Wang
Chengxiao Yang
Gen Li
Yujia Ao
Muliang Jiang
Qian Cui
Yajing Pang
Xiujuan Jing
Publikationsdatum
02.07.2022
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 2/2023
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-022-09831-0

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