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Brain Structure and Function

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24.04.2020 | Original Article

Brain-wide resting-state connectivity regulation by the hippocampus and medial prefrontal cortex is associated with fluid intelligence

verfasst von: Rui Li, Jing Zhang, Xia Wu, Xiaotong Wen, Buxin Han

Erschienen in: Brain Structure and Function | Ausgabe 5/2020

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Abstract

The connectivity hub property of the hippocampus (HIP) and the medial prefrontal cortex (MPFC) is essential for their widespread involvement in cognition; however, the cooperation mechanism between them is far from clear. Herein, using resting-state functional MRI and Gaussian Bayesian network to describe the directed organizing architecture of the HIP–MPFC pathway with regions in the brain, we demonstrated that the HIP and the MPFC have central roles as the driving hub and aggregating hub, respectively. The status of the HIP and the MPFC is dominant in communications between the HIP and the default-mode network, between the HIP and core neurocognitive networks, including the default-mode, frontoparietal, and salience networks, and between brain-wide representative regions, suggesting a strong and robust central position of the two regions in regulating the dynamics of large-scale brain activity. Furthermore, we found that the directed connectivity and flow from the right HIP to the MPFC is significantly linked to fluid intelligence. Together, these results clarify the different roles of the HIP and the MPFC that jointly contribute to network dynamics and cognitive ability from a data-driven insight via the use of the directed connectivity method.

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Amat JA, Bansal R, Whiteman R, Haggerty R, Royal J, Peterson BS (2008) Correlates of intellectual ability with morphology of the hippocampus and amygdala in healthy adults. Brain Cogn 66(2):105–114. https://doi.org/10.1016/j.bandc.2007.05.009 CrossRefPubMed

Andrews-Hanna JR, Snyder AZ, Vincent JL, Lustig C, Head D, Raichle ME, Buckner RL (2007) Disruption of large-scale brain systems in advanced aging. Neuron 56(5):924–935. https://doi.org/10.1016/j.neuron.2007.10.038 CrossRefPubMedPubMedCentral

Andrews-Hanna JR, Reidler JS, Sepulcre J, Poulin R, Buckner RL (2010) Functional-anatomic fractionation of the brain’s default network. Neuron 65(4):550–562. https://doi.org/10.1016/j.neuron.2010.02.005 CrossRefPubMedPubMedCentral

Ashburner J (2007) A fast diffeomorphic image registration algorithm. Neuroimage 38(1):95–113. https://doi.org/10.1016/j.neuroimage.2007.07.007 CrossRefPubMed

Barbey AK (2018) Network neuroscience theory of human intelligence. Trends Cogn Sci 22(1):8–20. https://doi.org/10.1016/j.tics.2017.10.001 CrossRefPubMed

Battaglia FP, Benchenane K, Sirota A, Pennartz CMA, Wiener SI (2011) The hippocampus: hub of brain network communication for memory. Trends Cogn Sci 15(7):310–318. https://doi.org/10.1016/j.tics.2011.05.008 CrossRefPubMed

Bielza C, Larranaga P (2014) Bayesian networks in neuroscience: a survey. Front Comput Neurosci. https://doi.org/10.3389/fncom.2014.00131 CrossRefPubMedPubMedCentral

Biswal BB, Mennes M, Zuo X-N, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, Dogonowski A-M, Ernst M, Fair D, Hampson M, Hoptman MJ, Hyde JS, Kiviniemi VJ, Kotter R, Li S-J, Lin C-P, Lowe MJ, Mackay C, Madden DJ, Madsen KH, Margulies DS, Mayberg HS, McMahon K, Monk CS, Mostofsky SH, Nagel BJ, Pekar JJ, Peltier SJ, Petersen SE, Riedl V, Rombouts SARB, Rypma B, Schlaggar BL, Schmidt S, Seidler RD, Siegle GJ, Sorg C, Teng G-J, Veijola J, Villringer A, Walter M, Wang L, Weng X-C, Whitfield-Gabrieli S, Williamson P, Windischberger C, Zang Y-F, Zhang H-Y, Castellanos FX, Milham MP (2010) Toward discovery science of human brain function. Proc Natl Acad Sci USA 107(10):4734–4739. https://doi.org/10.1073/pnas.0911855107 CrossRefPubMedPubMedCentral

Blair C (2006) How similar are fluid cognition and general intelligence? A developmental neuroscience perspective on fluid cognition as an aspect of human cognitive ability. Behav Brain Sci 29(2):109CrossRefPubMed

Buckner RL, Snyder AZ, Shannon BJ, LaRossa G, Sachs R, Fotenos AF, Sheline YI, Klunk WE, Mathis CA, Morris JC, Mintun MA (2005) Molecular, structural, and functional characterization of Alzheimer’s disease: evidence for a relationship between default activity, amyloid, and memory. J Neurosci 25(34):7709–7717. https://doi.org/10.1523/jneurosci.2177-05.2005 CrossRefPubMedPubMedCentral

Buckner RL, Andrews-Hanna JR, Schacter DL (2008) The brain’s default network—anatomy, function, and relevance to disease. In: Kingstone A, Miller MB (eds) Year in cognitive neuroscience 2008, vol 1124. Academy of Sciences, New York, pp 1–38. https://doi.org/10.1196/annals.1440.011 CrossRef

Bunsey M, Eichenbaum H (1996) Conservation of hippocampal memory function in rats and humans. Nature 379(6562):255–257. https://doi.org/10.1038/379255a0 CrossRefPubMed

Buschman TJ, Miller EK (2007) Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science 315(5820):1860–1862. https://doi.org/10.1126/science.1138071 CrossRefPubMed

Calhoun VD, Adali T, Pekar JJ (2004) A method for comparing group fMRI data using independent component analysis: application to visual, motor and visuomotor tasks. Magn Reson Imaging 22(9):1181–1191. https://doi.org/10.1016/j.mri.2004.09.004 CrossRefPubMed

Cao M, Wang J-H, Dai Z-J, Cao X-Y, Jiang L-L, Fan F-M, Song X-W, Xia M-R, Shu N, Dong Q, Milham MP, Castellanos FX, Zuo X-N, He Y (2014) Topological organization of the human brain functional connectome across the lifespan. Dev Cogn Neurosci 7:76–93. https://doi.org/10.1016/j.dcn.2013.11.004 CrossRefPubMed

Chan RW, Leong ATL, Ho LC, Gao PP, Wong EC, Dong CM, Wang X, He J, Chan Y-S, Lim LW, Wu EX (2017) Low-frequency hippocampal-cortical activity drives brain-wide resting-state functional MRI connectivity. Proc Natl Acad Sci USA 114(33):E6972–E6981. https://doi.org/10.1073/pnas.1703309114 CrossRefPubMedPubMedCentral

Clawson W, Vicente AF, Ferraris M, Bernard C, Battaglia D, Quilichini PP (2019) Computing hubs in the hippocampus and cortex. Sci Adv 5:6. https://doi.org/10.1126/sciadv.aax4843 CrossRef

Cohen MX (2011) Hippocampal-prefrontal connectivity predicts midfrontal oscillations and long-term memory performance. Curr Biol 21(22):1900–1905. https://doi.org/10.1016/j.cub.2011.09.036 CrossRefPubMed

Cole MW, Bassett DS, Power JD, Braver TS, Petersen SE (2014) Intrinsic and task-evoked network architectures of the human brain. Neuron 83(1):238–251. https://doi.org/10.1016/j.neuron.2014.05.014 CrossRefPubMedPubMedCentral

Cole MW, Ito T, Bassett DS, Schultz DH (2016) Activity flow over resting-state networks shapes cognitive task activations. Nat Neurosci 19(12):1718–1726. https://doi.org/10.1038/nn.4406 CrossRefPubMedPubMedCentral

Croxson PL, Johansen-Berg H, Behrens TEJ, Robson MD, Pinsk MA, Gross CG, Richter W, Richter MC, Kastner S, Rushworth MFS (2005) Quantitative investigation of connections of the prefrontal cortex in the human and macaque using probabilistic diffusion tractography. J Neurosci 25(39):8854–8866. https://doi.org/10.1523/jneurosci.1311-05.2005 CrossRefPubMedPubMedCentral

Degenetais E, Thierry AM, Glowinski J, Gioanni Y (2003) Synaptic influence of hippocampus on pyramidal cells of the rat prefrontal cortex: an In vivo intracellular recording study. Cereb Cortex 13(7):782–792. https://doi.org/10.1093/cercor/13.7.782 CrossRefPubMed

Ferenczi EA, Zalocusky KA, Liston C, Grosenick L, Warden MR, Amatya D, Katovich K, Mehta H, Patenaude B, Ramakrishnan C, Kalanithi P, Etkin A, Knutson B, Glover GH, Deisseroth K (2016) Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior. Science 351:6268. https://doi.org/10.1126/science.aac9698 CrossRef

Fox KCR, Nijeboer S, Solomonova E, Domhoff GW, Christoff K (2013) Dreaming as mind wandering: evidence from functional neuroimaging and first-person content reports. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2013.00412 CrossRefPubMedPubMedCentral

Friston KJ (2011) Functional and effective connectivity: a review. Brain Connect 1(1):13–36. https://doi.org/10.1089/brain.2011.0008 CrossRefPubMed

Friston KJ, Williams S, Howard R, Frackowiak RSJ, Turner R (1996) Movement-related effects in fMRI time-series. Magn Reson Med 35(3):346–355. https://doi.org/10.1002/mrm.1910350312 CrossRefPubMed

Gordon JA (2011) Oscillations and hippocampal-prefrontal synchrony. Curr Opin Neurobiol 21(3):486–491. https://doi.org/10.1016/j.conb.2011.02.012 CrossRefPubMedPubMedCentral

Gray JR, Chabris CF, Braver TS (2003) Neural mechanisms of general fluid intelligence. Nat Neurosci 6(3):316–322. https://doi.org/10.1038/nn1014 CrossRefPubMed

Greicius MD, Krasnow B, Reiss AL, Menon V (2003) Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA 100(1):253–258. https://doi.org/10.1073/pnas.0135058100 CrossRefPubMed

Gusnard DA, Akbudak E, Shulman GL, Raichle ME (2001) Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proc Natl Acad Sci USA 98(7):4259–4264. https://doi.org/10.1073/pnas.071043098 CrossRefPubMedPubMedCentral

Hansen ECA, Battaglia D, Spiegler A, Deco G, Jirsa VK (2015) Functional connectivity dynamics: modeling the switching behavior of the resting state. Neuroimage 105:525–535. https://doi.org/10.1016/j.neuroimage.2014.11.001 CrossRefPubMed

Himberg J, Hyvarinen A, Esposito F (2004) Validating the independent components of neuroimaging time series via clustering and visualization. Neuroimage 22(3):1214–1222. https://doi.org/10.1016/j.neuroimage.2004.03.027 CrossRefPubMed

Hutchison RM, Womelsdorf T, Allen EA, Bandettini PA, Calhoun VD, Corbetta M, Della Penna S, Duyn JH, Glover GH, Gonzalez-Castillo J, Handwerker DA, Keilholz S, Kiviniemi V, Leopold DA, de Pasquale F, Sporns O, Walter M, Chang C (2013) Dynamic functional connectivity: promise, issues, and interpretations. Neuroimage 80:360–378. https://doi.org/10.1016/j.neuroimage.2013.05.079 CrossRefPubMed

Igloi K, Doeller CF, Berthoz A, Rondi-Reig L, Burgess N (2010) Lateralized human hippocampal activity predicts navigation based on sequence or place memory. Proc Natl Acad Sci USA 107(32):14466–14471. https://doi.org/10.1073/pnas.1004243107 CrossRefPubMedPubMedCentral

Ito T, Kulkarni KR, Schultz DH, Mill RD, Chen RH, Solomyak LI, Cole MW (2017) Cognitive task information is transferred between brain regions via resting-state network topology. Nat Commun. https://doi.org/10.1038/s41467-017-01000-w CrossRefPubMedPubMedCentral

Jay TM, Burette F, Laroche S (1995) NMDA receptor-dependent long-term potentiation in the hippocampal afferent fiber system to the prefrontal cortex in the rat. Eur J Neurosci 7(2):247–250. https://doi.org/10.1111/j.1460-9568.1995.tb01060.x CrossRefPubMed

Jenkinson M, Bannister P, Brady M, Smith S (2002) Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17(2):825–841. https://doi.org/10.1006/nimg.2002.1132 CrossRefPubMed

Kane MJ, Engle RW (2002) The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: an individual-differences perspective. Psychon Bull Rev 9(4):637–671. https://doi.org/10.3758/bf03196323 CrossRefPubMed

Kelley WM, Miezin FM, McDermott KB, Buckner RL, Raichle ME, Cohen NJ, Ollinger JM, Akbudak E, Conturo TE, Snyder AZ, Petersen SE (1998) Hemispheric specialization in human dorsal frontal cortex and medial temporal lobe for verbal and nonverbal memory encoding. Neuron 20(5):927–936. https://doi.org/10.1016/s0896-6273(00)80474-2 CrossRefPubMed

Lee TW, Girolami M, Sejnowski TJ (1999) Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural Comput 11(2):417–441. https://doi.org/10.1162/089976699300016719 CrossRefPubMed

Li R, Chen K, Fleisher AS, Reiman EM, Yao L, Wu X (2011) Large-scale directional connections among multi resting-state neural networks in human brain: a functional MRI and Bayesian network modeling study. Neuroimage 56(3):1035–1042. https://doi.org/10.1016/j.neuroimage.2011.03.010 CrossRefPubMed

Li M, Long C, Yang L (2015) Hippocampal-prefrontal circuit and disrupted functional connectivity in psychiatric and neurodegenerative disorders. Biomed Res Int. https://doi.org/10.1155/2015/810548 CrossRefPubMedPubMedCentral

Li R, Zhang S, Yin S, Ren W, He R, Li J (2018) The fronto-insular cortex causally mediates the default-mode and central-executive networks to contribute to individual cognitive performance in healthy elderly. Hum Brain Mapp 39(11):4302–4311. https://doi.org/10.1002/hbm.24247 CrossRefPubMedPubMedCentral

Liegeois R, Laumann TO, Snyder AZ, Zhou J, Yeo BTT (2017) Interpreting temporal fluctuations in resting-state functional connectivity MRI. Neuroimage 163:437–455. https://doi.org/10.1016/j.neuroimage.2017.09.012 CrossRefPubMed

Mcintosh AR, Smith AD (2012) Review of the wechsler abbreviated scale of intelligence (WASI-II). J Psychoeduc Assess 31(3):337–341. https://doi.org/10.1177/0734282912467756 CrossRef

Menon V (2011) Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci 15(10):483–506. https://doi.org/10.1016/j.tics.2011.08.003 CrossRefPubMed

Mill RD, Bagic A, Bostan A, Schneider W, Cole MW (2017a) Empirical validation of directed functional connectivity. Neuroimage 146:275–287. https://doi.org/10.1016/j.neuroimage.2016.11.037 CrossRefPubMed

Mill RD, Ito T, Cole MW (2017b) From connectome to cognition: the search for mechanism in human functional brain networks. Neuroimage 160:124–139. https://doi.org/10.1016/j.neuroimage.2017.01.060 CrossRefPubMed

Miller EK, Cohen JD (2001) An integrative theory of prefrontal cortex function. Annu Rev Neurosci 24:167–202. https://doi.org/10.1146/annurev.neuro.24.1.167 CrossRefPubMed

Mitra A, Snyder AZ, Hacker CD, Pahwa M, Tagliazucchi E, Laufs H, Leuthardt EC, Raichle ME (2016) Human cortical-hippocampal dialogue in wake and slow-wave sleep. Proc Natl Acad Sci USA 113(44):E6868–E6876. https://doi.org/10.1073/pnas.1607289113 CrossRefPubMedPubMedCentral

Mooneyham BW, Schooler JW (2013) The costs and benefits of mind-wandering: a review. Can J Exp Psychol 67(1):11–18. https://doi.org/10.1037/a0031569 CrossRefPubMed

Murphy K (2001) The Bayes net toolbox for matlab computing science and statistics. Proc Interf 33:33

Nooner KB, Colcombe SJ, Tobe RH, Mennes M, Benedict MM, Moreno AL, Panek LJ, Brown S, Zavitz ST, Li Q, Sikkae S, Gutman D, Bangaru S, Schlachter RT, Kamiel SM, Anwar AR, Hinz CM, Kaplan MS, Rachlin AB, Adelsberg S, Cheung B, Khanuja R, An C, Craddock CC, Calhoun V, Courtney W, King M, Wood D, Cox CL, Kelly AMC, Di Martino A, Petkova E, Reiss P, Duan N, Thomsen D, Biswal B, Coffey B, Hoptman MJ, Javitt DC, Pomara N, Sidtis JJ, Koplewicz HS, Castellanos FX, Leventhal BL, Milham MP (2012) The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry. Front Neurosci. https://doi.org/10.3389/fnins.2012.00152 CrossRefPubMedPubMedCentral

Okada N, Fukunaga M, Yamashita F, Koshiyama D, Yamamori H, Ohi K, Yasuda Y, Fujimoto M, Watanabe Y, Yahata N, Nemoto K, Hibar DP, van Erp TGM, Fujino H, Isobe M, Isomura S, Natsubori T, Narita H, Hashimoto N, Miyata J, Koike S, Takahashi T, Yamasue H, Matsuo K, Onitsuka T, Iidaka T, Kawasaki Y, Yoshimura R, Watanabe Y, Suzuki M, Turner JA, Takeda M, Thompson PM, Ozaki N, Kasai K, Hashimoto R, Cocoro R (2016) Abnormal asymmetries in subcortical brain volume in schizophrenia. Mol Psychiatry 21(10):1460–1466. https://doi.org/10.1038/mp.2015.209 CrossRefPubMedPubMedCentral

Ongur D, Price JL (2000) The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys and humans. Cereb Cortex 10(3):206–219. https://doi.org/10.1093/cercor/10.3.206 CrossRefPubMed

Papanicolaou AC, Simos PG, Castillo EM, Breier JI, Katz JS, Wright AA (2002) The hippocampus and memory of verbal and pictorial material. Learn Memory 9(3):99–104. https://doi.org/10.1101/lm.44302 CrossRef

Parent MA, Wang L, Su J, Netoff T, Yuan L-L (2010) Identification of the hippocampal input to medial prefrontal cortex in vitro. Cereb Cortex 20(2):393–403. https://doi.org/10.1093/cercor/bhp108 CrossRefPubMed

Pedraza O, Bowers D, Gilmore R (2004) Asymmetry of the hippocampus and amygdala in MRI volumetric measurements of normal adults. J Int Neuropsychol Soc 10(5):664–678. https://doi.org/10.1017/s1355617704105080 CrossRefPubMed

Pernet CR, Wilcox R, Rousselet GA (2013) Robust correlation analyses: false positive and power validation using a new open source matlab toolbox. Front Psychol. https://doi.org/10.3389/fpsyg.2012.00606 CrossRefPubMedPubMedCentral

Pessoa L (2014) Understanding brain networks and brain organization. Phys Life Rev 11(3):400–435. https://doi.org/10.1016/j.plrev.2014.03.005 CrossRefPubMedPubMedCentral

Phillips ML, Robinson HA, Pozzo-Miller L (2019) Ventral hippocampal projections to the medial prefrontal cortex regulate social memory. Elife. https://doi.org/10.7554/eLife.44182 CrossRefPubMedPubMedCentral

Preston AR, Eichenbaum H (2013) Interplay of hippocampus and prefrontal cortex in memory. Curr Biol 23(17):R764–R773. https://doi.org/10.1016/j.cub.2013.05.041 CrossRefPubMedPubMedCentral

Raichle ME (2015) The brain’s default mode network. Ann Rev Neurosci 8(38):433–447. https://doi.org/10.1146/annurev-neuro-071013-014030 CrossRef

Rajapakse JC, Zhoua J (2007) Learning effective brain connectivity with dynamic Bayesian networks. Neuroimage 37(3):749–760. https://doi.org/10.1016/j.neuroimage.2007.06.003 CrossRefPubMed

Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52(3):1059–1069. https://doi.org/10.1016/j.neuroimage.2009.10.003 CrossRefPubMed

Schlichting ML, Preston AR (2015) Memory integration: neural mechanisms and implications for behavior. Curr Opin Behav Sci 1:1–8. https://doi.org/10.1016/j.cobeha.2014.07.005 CrossRefPubMedPubMedCentral

Schmidt M, Niculescu-Mizil A, Murphy K (2007) Learning graphical model structure using L1-regularization paths. In: Proceedings of the 22nd national conference on Artificial intelligence, July 22–26, 2007, Vancouver, British Columbia, Canada. p. 1278–1283

Schwarz G (1978) Estimating dimension of a model. Ann Stat 6(2):461–464. https://doi.org/10.1214/aos/1176344136 CrossRef

Sebastiani P, Abad MM, Ramoni MF (2005) Bayesian networks for genomic analysis. Genom Sig Process Stat 2:281–320

Shachter R, Kenley C (1989) Gaussian Influence Diagrams. Manage Sci 35:527–550CrossRef

Siapas AG, Lubenov EV, Wilson MA (2005) Prefrontal phase locking to hippocampal theta oscillations. Neuron 46(1):141–151. https://doi.org/10.1016/j.neuron.2005.02.028 CrossRefPubMed

Siegel M, Donner TH, Engel AK (2012) Spectral fingerprints of large-scale neuronal interactions. Nat Rev Neurosci 13(2):121–134. https://doi.org/10.1038/nrn3137 CrossRefPubMed

Uddin LQ, Supekar KS, Ryali S, Menon V (2011) Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development. J Neurosci 31(50):18578–18589. https://doi.org/10.1523/jneurosci.4465-11.2011 CrossRefPubMedPubMedCentral

Ushakov VL, Sharaev MG, Kartashov SI, Zayyalova VV, Verkhlyutov VM, Velichkoysky BM (2016) Dynamic causal modeling of hippocampal links within the human default mode network: lateralization and computational stability of effective connections. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2016.00528 CrossRefPubMedPubMedCentral

van den Heuvel MP, Sporns O (2011) Rich-club organization of the human connectome. J Neurosci 31(44):15775–15786. https://doi.org/10.1523/jneurosci.3539-11.2011 CrossRefPubMedPubMedCentral

van den Heuvel MP, Sporns O (2013) Network hubs in the human brain. Trends Cogn Sci 17(12):683–696. https://doi.org/10.1016/j.tics.2013.09.012 CrossRefPubMed

Varma S, Takashima A, Fu L, Kessels RPC (2019) Mindwandering propensity modulates episodic memory consolidation. Aging Clin Exp Res. https://doi.org/10.1007/s40520-019-01251-1 CrossRefPubMedPubMedCentral

Wechsler D (1999) Wechsler abbreviated scale of intelligence. The Psychological Corporation, San Antonio

Yan C-G, Craddock RC, He Y, Milham MP (2013) Addressing head motion dependencies for small-world topologies in functional connectomics. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2013.00910 CrossRefPubMedPubMedCentral

Yan C-G, Wang X-D, Zuo X-N, Zang Y-F (2016) DPABI: data processing & analysis for (resting-state) brain imaging. Neuroinformatics 14(3):339–351. https://doi.org/10.1007/s12021-016-9299-4 CrossRefPubMed

Zang Y-F, He Y, Zhu C-Z, Cao Q-J, Sui M-Q, Liang M, Tian L-X, Jiang T-Z, Wang Y-F (2007) Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev 29(2):83–91. https://doi.org/10.1016/j.braindev.2006.07.002 CrossRefPubMed

Zheng X, Rajapakse JC (2006) Learning functional structure from fMR images. Neuroimage 31(4):1601–1613. https://doi.org/10.1016/j.neuroimage.2006.01.031 CrossRefPubMed

Zhu B, Chen C, Dang X, Dong Q, Lin C (2017) Hippocampal subfields’ volumes are more relevant to fluid intelligence than verbal working memory. Intelligence 61:169–175. https://doi.org/10.1016/j.intell.2017.02.003 CrossRef

Zimmermann J, Griffiths JD, McIntosh AR (2018) Unique mapping of structural and functional connectivity on cognition. J Neurosci 38(45):9658–9667. https://doi.org/10.1523/jneurosci.0900-18.2018 CrossRefPubMedPubMedCentral

Titel: Brain-wide resting-state connectivity regulation by the hippocampus and medial prefrontal cortex is associated with fluid intelligence
verfasst von: Rui Li
Jing Zhang
Xia Wu
Xiaotong Wen
Buxin Han
Publikationsdatum: 24.04.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Brain Structure and Function / Ausgabe 5/2020
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-020-02077-8

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