Skip to main content
Erschienen in:

11.10.2022 | Research Article

Cross-module switching diversity of brain network nodes in resting and cognitive states

verfasst von: Chao Yi, Yongchen Fan, Ying Wu

Erschienen in: Cognitive Neurodynamics | Ausgabe 6/2023

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Large-scale brain network dynamics reflect state change in brain activities and have potential effects on cognition. Such dynamics can be described by node temporal switching between modules; however, there are only a few studies on the influence of brain network node switching on brain cognition. Based on the functional magnetic resonance imaging (fMRI) data of resting and task states, we constructed dynamic functional networks using overlap sliding-time windows and applied multilayer network analysis to study the behaviours of nodes across brain modules. We found that (i) nodes with a high level switching rate in the resting-state mainly come from the default network, while nodes with a low level of switching rate mainly come from the visual network, (ii) nodes with a high switching rate have lower clustering coefficients and shorter characteristic path lengths, which are mainly affected by the somatomotor network and dorsal attention network; and (iii) in task states, there is still a negative correlation between switching rate, clustering coefficient and characteristic path length. However, the main subsystems that affect brain functions are regulated by the tasks. Our findings not only reveal the relevant characteristics of network node switching behaviours but also provide new insights for further understanding the complex functions of the brain.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
Zurück zum Zitat Bassett DS, Wymbs NF, Porter MA, Mucha PJ, Carlson JM, Raichle G (2011) Dynamic reconfiguration of human brain networks during learning. Proc Natl Acad Sci USA 108(18):7641–7646CrossRefPubMedPubMedCentral Bassett DS, Wymbs NF, Porter MA, Mucha PJ, Carlson JM, Raichle G (2011) Dynamic reconfiguration of human brain networks during learning. Proc Natl Acad Sci USA 108(18):7641–7646CrossRefPubMedPubMedCentral
Zurück zum Zitat Bassett DS, Porter MA, Wymbs NF, Grafton ST, Carlson JM, Mucha PJ (2013a) Robust detection of dynamic community structure in networks. Chaos (woodbury, NY) 23(1):013142CrossRef Bassett DS, Porter MA, Wymbs NF, Grafton ST, Carlson JM, Mucha PJ (2013a) Robust detection of dynamic community structure in networks. Chaos (woodbury, NY) 23(1):013142CrossRef
Zurück zum Zitat Bassett DS, Porter MA, Wymbs NF, Grafton ST, Carlson JM, Mucha PJ (2013b) Robust detection of dynamic community structure in networks. Chaos 23(1):13142–13155CrossRef Bassett DS, Porter MA, Wymbs NF, Grafton ST, Carlson JM, Mucha PJ (2013b) Robust detection of dynamic community structure in networks. Chaos 23(1):13142–13155CrossRef
Zurück zum Zitat Braun U, Schäfer A, Walter H, Erk S, Romanczuk-Seiferth N, Haddad L, Schweiger JI, Grimm O, Heinz A, Tost H, Meyer-Lindenberg A (2015) Dynamic reconfiguration of frontal brain networks during executive cognition in humans. Proc Natl Acad Sci 112(37):11678–11683CrossRefPubMedPubMedCentral Braun U, Schäfer A, Walter H, Erk S, Romanczuk-Seiferth N, Haddad L, Schweiger JI, Grimm O, Heinz A, Tost H, Meyer-Lindenberg A (2015) Dynamic reconfiguration of frontal brain networks during executive cognition in humans. Proc Natl Acad Sci 112(37):11678–11683CrossRefPubMedPubMedCentral
Zurück zum Zitat Braun U, Schäfer A, Bassett DS, Rausch F, Schweiger JI, Bilek E, Erk S, Romanczuk-Seiferth N, Grimm O, Geiger LS, Haddad L (2016) Dynamic brain network reconfiguration as a potential schizophrenia genetic risk mechanism modulated by NMDA receptor function. Proc Natl Acad Sci USA 113:12568CrossRefPubMedPubMedCentral Braun U, Schäfer A, Bassett DS, Rausch F, Schweiger JI, Bilek E, Erk S, Romanczuk-Seiferth N, Grimm O, Geiger LS, Haddad L (2016) Dynamic brain network reconfiguration as a potential schizophrenia genetic risk mechanism modulated by NMDA receptor function. Proc Natl Acad Sci USA 113:12568CrossRefPubMedPubMedCentral
Zurück zum Zitat Cabral J, Vidaurre D, Marques P, Magalhães R, Silva Moreira P, Miguel Soares J, Deco G, Sousa N, Kringelbach ML (2017) Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Sci Rep 7(1):1–13CrossRef Cabral J, Vidaurre D, Marques P, Magalhães R, Silva Moreira P, Miguel Soares J, Deco G, Sousa N, Kringelbach ML (2017) Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Sci Rep 7(1):1–13CrossRef
Zurück zum Zitat Chen G, Zhang HY, Xie C, Chen G, Zhang ZJ, Teng GJ, Li SJ (2013) Modular reorganization of brain resting state networks and its independent validation in Alzheimer’s disease patients. Front Hum Neurosci 7:456CrossRefPubMedPubMedCentral Chen G, Zhang HY, Xie C, Chen G, Zhang ZJ, Teng GJ, Li SJ (2013) Modular reorganization of brain resting state networks and its independent validation in Alzheimer’s disease patients. Front Hum Neurosci 7:456CrossRefPubMedPubMedCentral
Zurück zum Zitat Crossley NA, Mechelli A, Vértes PE, Winton-Brown TT, Bullmore ET (2013) Cognitive relevance of the community structure of the human brain functional coactivation network. Proc Natl Acad Sci 110(28):11583–11588CrossRefPubMedPubMedCentral Crossley NA, Mechelli A, Vértes PE, Winton-Brown TT, Bullmore ET (2013) Cognitive relevance of the community structure of the human brain functional coactivation network. Proc Natl Acad Sci 110(28):11583–11588CrossRefPubMedPubMedCentral
Zurück zum Zitat David M (2010) Hierarchical modularity in human brain functional networks. Front Neuroinform 3:37 David M (2010) Hierarchical modularity in human brain functional networks. Front Neuroinform 3:37
Zurück zum Zitat Fan Y, Wang R, Lin P, Wu Y (2019) Hierarchical integrated and segregated processing in the functional brain default mode network within attention-deficit/hyperactivity disorder. PLoS ONE 14(9):e0222414CrossRefPubMedPubMedCentral Fan Y, Wang R, Lin P, Wu Y (2019) Hierarchical integrated and segregated processing in the functional brain default mode network within attention-deficit/hyperactivity disorder. PLoS ONE 14(9):e0222414CrossRefPubMedPubMedCentral
Zurück zum Zitat Harlalka V, Bapi RS, Vinod PK, Roy D (2019) Atypical Flexibility in dynamic functional connectivity quantifies the severity in autism spectrum disorder. Front Hum Neurosci 13:6CrossRefPubMedPubMedCentral Harlalka V, Bapi RS, Vinod PK, Roy D (2019) Atypical Flexibility in dynamic functional connectivity quantifies the severity in autism spectrum disorder. Front Hum Neurosci 13:6CrossRefPubMedPubMedCentral
Zurück zum Zitat He L, Zhuang K, Li Y, Sun J, Qiu J (2019) Brain flexibility associated with need for cognition contributes to creative achievement. Psychophysiology 56(1):e13464CrossRefPubMed He L, Zhuang K, Li Y, Sun J, Qiu J (2019) Brain flexibility associated with need for cognition contributes to creative achievement. Psychophysiology 56(1):e13464CrossRefPubMed
Zurück zum Zitat Laufs H, Hamandi K, Salek-Haddadi A, Kleinschmidt AK, Duncan JS, Lemieux L (2010) Temporal lobe interictal epileptic discharges affect cerebral activity in “default mode” brain regions. Hum Brain Mapp 28(10):1023–1032CrossRef Laufs H, Hamandi K, Salek-Haddadi A, Kleinschmidt AK, Duncan JS, Lemieux L (2010) Temporal lobe interictal epileptic discharges affect cerebral activity in “default mode” brain regions. Hum Brain Mapp 28(10):1023–1032CrossRef
Zurück zum Zitat Manlio DD (2017) Multilayer modeling and analysis of human brain networks. Gigascience 6(5):1–8 Manlio DD (2017) Multilayer modeling and analysis of human brain networks. Gigascience 6(5):1–8
Zurück zum Zitat McCormick DA (1992) Neurotransmitter actions in the thalamus and cerebral cortex and their role in neuromodulation of thalamocortical activity. Prog Neurobiol 39(4):337–388CrossRefPubMed McCormick DA (1992) Neurotransmitter actions in the thalamus and cerebral cortex and their role in neuromodulation of thalamocortical activity. Prog Neurobiol 39(4):337–388CrossRefPubMed
Zurück zum Zitat Ogawa S, Lee TM, Kay AR, Tank DW (1990) Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA 87(24):9868CrossRefPubMedPubMedCentral Ogawa S, Lee TM, Kay AR, Tank DW (1990) Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA 87(24):9868CrossRefPubMedPubMedCentral
Zurück zum Zitat Pedersen M, Zalesky A, Omidvarnia A, Jackson GD (2018) Multilayer network switching rate predicts brain performance. Proc Natl Acad Sci 115(52):13376–13381CrossRefPubMedPubMedCentral Pedersen M, Zalesky A, Omidvarnia A, Jackson GD (2018) Multilayer network switching rate predicts brain performance. Proc Natl Acad Sci 115(52):13376–13381CrossRefPubMedPubMedCentral
Zurück zum Zitat Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL (2001) Inaugural article: a default mode of brain function. Proc Natl Acad Sci 98(2):676–682CrossRefPubMedPubMedCentral Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL (2001) Inaugural article: a default mode of brain function. Proc Natl Acad Sci 98(2):676–682CrossRefPubMedPubMedCentral
Zurück zum Zitat Rao H, Korczykowski M, Pluta J, Hoang A, Detre JA (2008) Neural correlates of voluntary and involuntary risk taking in the human brain: an fMRI study of the Balloon Analog Risk Task (BART). Neuroimage 42(2):902–910CrossRefPubMed Rao H, Korczykowski M, Pluta J, Hoang A, Detre JA (2008) Neural correlates of voluntary and involuntary risk taking in the human brain: an fMRI study of the Balloon Analog Risk Task (BART). Neuroimage 42(2):902–910CrossRefPubMed
Zurück zum Zitat Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52(3):1059–1069CrossRefPubMed Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52(3):1059–1069CrossRefPubMed
Zurück zum Zitat Sheffield JM, Barch DM (2016) Cognition and resting-state functional connectivity in schizophrenia. Neurosci Biobehav Rev 61:108–120CrossRefPubMed Sheffield JM, Barch DM (2016) Cognition and resting-state functional connectivity in schizophrenia. Neurosci Biobehav Rev 61:108–120CrossRefPubMed
Zurück zum Zitat Shine JM, Bissett PG, Bell PT, Koyejo O, Balsters JH, Gorgolewski KJ, Moodie CA, Poldrack RA (2016) The dynamics of functional brain networks: integrated network states during cognitive task performance. Neuron 92(2):544–554CrossRefPubMedPubMedCentral Shine JM, Bissett PG, Bell PT, Koyejo O, Balsters JH, Gorgolewski KJ, Moodie CA, Poldrack RA (2016) The dynamics of functional brain networks: integrated network states during cognitive task performance. Neuron 92(2):544–554CrossRefPubMedPubMedCentral
Zurück zum Zitat Si S, Wang B, Liu X, Yu C, Zhao H (2019) Brain Network Modeling based on mutual information and graph theory for predicting the connection mechanism in the progression of Alzheimer’s disease. Entropy 21(3):300CrossRefPubMedPubMedCentral Si S, Wang B, Liu X, Yu C, Zhao H (2019) Brain Network Modeling based on mutual information and graph theory for predicting the connection mechanism in the progression of Alzheimer’s disease. Entropy 21(3):300CrossRefPubMedPubMedCentral
Zurück zum Zitat Telesford QK, Lynall ME, Vettel J, Miller MB, Grafton ST, Bassett DS (2016) Detection of functional brain network reconfiguration during task-driven cognitive states. Neuroimage 142:198–210CrossRefPubMed Telesford QK, Lynall ME, Vettel J, Miller MB, Grafton ST, Bassett DS (2016) Detection of functional brain network reconfiguration during task-driven cognitive states. Neuroimage 142:198–210CrossRefPubMed
Zurück zum Zitat Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15(1):273–289CrossRefPubMed Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15(1):273–289CrossRefPubMed
Zurück zum Zitat Wang R, Wang L, Yang Y, Li J, Wu Y, Lin P (2016) Random matrix theory for analyzing the brain functional network in attention deficit hyperactivity disorder. Phys Rev E 94(5):052411CrossRefPubMed Wang R, Wang L, Yang Y, Li J, Wu Y, Lin P (2016) Random matrix theory for analyzing the brain functional network in attention deficit hyperactivity disorder. Phys Rev E 94(5):052411CrossRefPubMed
Zurück zum Zitat Wang R, Su X, Chang Z, Wu Y, Lin P (2020) Flexible brain transitions between hierarchical network segregation and integration predict human behavior Wang R, Su X, Chang Z, Wu Y, Lin P (2020) Flexible brain transitions between hierarchical network segregation and integration predict human behavior
Zurück zum Zitat Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Zöllei L, Polimeni JR, Fischl B (2011) The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol 106(3):1125–1165CrossRefPubMed Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Zöllei L, Polimeni JR, Fischl B (2011) The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol 106(3):1125–1165CrossRefPubMed
Zurück zum Zitat Yu Q, Erhardt EB, Sui J, Du Y, He H, Hjelm D, Cetin MS, Rachakonda S, Miller RL, Pearlson G, Calhoun VD (2015) Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia. Neuroimage 107:345–355CrossRefPubMed Yu Q, Erhardt EB, Sui J, Du Y, He H, Hjelm D, Cetin MS, Rachakonda S, Miller RL, Pearlson G, Calhoun VD (2015) Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia. Neuroimage 107:345–355CrossRefPubMed
Zurück zum Zitat Zang YF, He Y, Zhu CZ, Cao QJ, Sui MQ, Liang M, Tian LX, Jiang TZ, Wang YF (2007) Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev 29(2):83–91CrossRefPubMed Zang YF, He Y, Zhu CZ, Cao QJ, Sui MQ, Liang M, Tian LX, Jiang TZ, Wang YF (2007) Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev 29(2):83–91CrossRefPubMed
Metadaten
Titel
Cross-module switching diversity of brain network nodes in resting and cognitive states
verfasst von
Chao Yi
Yongchen Fan
Ying Wu
Publikationsdatum
11.10.2022
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 6/2023
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-022-09894-z

Weitere Artikel der Ausgabe 6/2023

Cognitive Neurodynamics 6/2023 Zur Ausgabe