Skip to main content
Log in

Age- and function-related regional changes in cortical folding of the default mode network in older adults

  • Original Article
  • Published:
Brain Structure and Function Aims and scope Submit manuscript

Abstract

Healthy aging is accompanied by changes in the functional architecture of the default mode network (DMN), e.g. a posterior to anterior shift (PASA) of activations. The putative structural correlate for this functional reorganization, however, is largely unknown. Changes in gyrification, i.e. decreases of cortical folding were found to be a marker of atrophy of the brain in later decades of life. Therefore, the present study assessed local gyrification indices of the DMN in relation to age and cognitive performance in 749 older adults aged 55–85 years. Age-related decreases in local gyrification indices were found in the anterior part of the DMN [particularly; medial prefrontal cortex (mPFC)] of the right hemisphere, and the medial posterior parts of the DMN [particularly; posterior cingulate cortex (PCC)/precuneus] of both hemispheres. Positive correlations between cognitive performance and local gyrification indices were found for (1) selective attention and left PCC/precuneus, (2) visual/visual–spatial working memory and bilateral PCC/precuneus and right angular gyrus (AG), and (3) semantic verbal fluency and right AG and right mPFC. The more pronounced age-related decrease in local gyrification indices of the posterior parts of the DMN supports the functionally motivated PASA theory by correlated structural changes. Surprisingly, the prominent age-related decrease in local gyrification indices in right hemispheric ROIs provides evidence for a structural underpinning of the right hemi-aging hypothesis. Noticeably, the performance-related changes in local gyrification largely involved the same parts of the DMN that were subject to age-related local gyrification decreases. Thus, the present study lends support for a combined structural and functional theory of aging, in that the functional changes in the DMN during aging are accompanied by comparably localized structural alterations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Amft M, Bzdok D, Laird AR, Fox PT, Schilbach L, Eickhoff SB (2015) Definition and characterization of an extended social-affective default network. Brain Struct Funct 220:1031–1049

    Article  PubMed  Google Scholar 

  • Amunts K, Malikovic A, Mohlberg H, Schormann T, Zilles K (2000) Brodmann’s areas 17 and 18 brought into stereotaxic space-where and how variable? NeuroImage 11(1):66–84

    Article  CAS  PubMed  Google Scholar 

  • 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 56:924–935

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ansado J, Monchi O, Ennabil N, Faure S, Joanette Y (2012) Load-dependent posterior–anterior shift in aging in complex visual selective attention situations. Brain Res 1454:14–22

    Article  CAS  PubMed  Google Scholar 

  • Aschenbrenner A, Tucha O, Lange K (2000) RWT Regensburger Wortflüssigkeits-Test. Göttingen

  • Bai F, Zhang Z, Yu H, Shi Y, Yuan Y, Zhu W, Qian Y (2008) Default-mode network activity distinguishes amnestic type mild cognitive impairment from healthy aging: a combined structural and resting-state functional MRI study. Neurosci Lett 438(1):111–115

    Article  CAS  PubMed  Google Scholar 

  • Batouli AH, Boroomand A, Fakhri M, Sikaroodi H, Oghabian MA, Firouznia K (2009) The effect of aging on resting-state brain function: an fMRI study. Iran J Radiol 6(3):153–158

    Google Scholar 

  • Beckmann CF, Smith SM (2004) Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans Med Imaging 23(2):137–152

    Article  PubMed  Google Scholar 

  • Beckmann CF, DeLuca M, Devlin JT, Smith SM (2005) Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond 360(1457):1001–1013

    Article  Google Scholar 

  • Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc 57(1):289–300

  • Benton AL, Sivan AB, Spreen O, Steck P (2009) Der Benton-Test Huber, Hogrefe

  • Binder JR, Desai RH, Graves WW, Conant LL (2009) Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cereb Cortex 19(12):2767–2796

    Article  PubMed  PubMed Central  Google Scholar 

  • Bludau S, Eickhoff SB, Mohlberg H, Caspers S, Laird AR, Fox PT et al (2014) Cytoarchitecture, probability maps and functions of the human frontal pole. NeuroImage 93:260–275

    Article  PubMed  Google Scholar 

  • Brickman AM, Zimmerman ME, Paul RH, Grieve SM, Tate DF, Cohen RA, Gordon E (2006) Regional white matter and neuropsychological functioning across the adult lifespan. Biol Psychiatry 60(5):444–453

    Article  PubMed  Google Scholar 

  • Buckner RL, Andrews-Hanna JR, Schacter DL (2008) The brain’s default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci 1124:1–38

    Article  PubMed  Google Scholar 

  • Buckner RL, Sepulcre J, Talukdar T, Krienen FM, Liu H, Hedden T, Johnson KA (2009) Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease. J Neurosci 29(6):1860–1873

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, Robinson ES, Munafo MR (2013) Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 14(5):365–376

    Article  CAS  PubMed  Google Scholar 

  • Cabeza R (2002) Hemispheric asymmetry reduction in older adults: the HAROLD model. Psychol Aging 17(1):85–100

    Article  PubMed  Google Scholar 

  • Caspers S, Geyer S, Schleicher A, Mohlberg H, Amunts K, Zilles K (2006) The human inferior parietal cortex: cytoarchitectonic parcellation and interindividual variability. NeuroImage 33(2):430–448

    Article  Google Scholar 

  • Caspers S, Eickhoff SB, Geyer S, Scheperjans F, Mohlberg H, Zilles K et al (2008) The human inferior parietal lobule in stereotaxic space. Brain Struct Funct 212(6):481–495

    Article  PubMed  Google Scholar 

  • Caspers S, Schleicher A, Bacha-Trams M, Palomero-Gallagher N, Amunts K, Zilles K (2013) Organization of the human inferior parietal lobule based on receptor architectonics. Cereb Cortex 23(3):615–628

    Article  PubMed  Google Scholar 

  • Caspers S, Moebus S, Lux S, Pundt N, Schutz H, Muhleisen TW, Amunts K (2014) Studying variability in human brain aging in a population-based German cohort-rationale and design of 1000BRAINS. Front Aging Neurosci 6:149

    Article  PubMed  PubMed Central  Google Scholar 

  • Dale AM, Fischl B, Sereno MI (1999) Cortical surface-based analysis. I. Segmentation and surface reconstruction. NeuroImage 9(2):179–194

    Article  CAS  PubMed  Google Scholar 

  • Damoiseaux JS, Beckmann CF, Arigita EJ, Barkhof F, Scheltens P, Stam CJ, Rombouts SA (2008) Reduced resting-state brain activity in the “default network” in normal aging. Cereb Cortex 18(8):1856–1864

    Article  CAS  PubMed  Google Scholar 

  • Davis SW, Dennis NA, Daselaar SM, Fleck MS, Cabeza R (2008) Que PASA? The posterior–anterior shift in aging. Cereb Cortex 18(5):1201–1209

    Article  PubMed  Google Scholar 

  • Della Sala S, Gray C, Baddeley AD, Wilson L (1997) The visual patterns test: a test of short-term visual recall. Thames Valley Test Company

  • Docherty AR, Hagler DJ Jr, Panizzon MS, Neale MC, Eyler LT, Fennema-Notestine C, Franz CE, Jak A, Lyons MJ, Rinker DA, Thompson WK, Tsuang MT, Dale AM, Kremen WS (2015) Does degree of gyrification underlie the phenotypic and genetic associations between cortical surface area and cognitive ability? Neuroimage 106:154–160

    Article  PubMed  Google Scholar 

  • Dolcos F, Rice HJ, Cabeza R (2002) Hemispheric asymmetry and aging: right hemisphere decline or asymmetry reduction. Neurosci Biobehav Rev 26(7):819–825

    Article  PubMed  Google Scholar 

  • Eickhoff SB, Stephan KE, Mohlberg H, Grefkes C, Fink GR, Amunts K, Zilles K (2005) A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. NeuroImage 25(4):1325–1335

    Article  PubMed  Google Scholar 

  • Fischl B, Sereno MI, Dale AM (1999) Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system. NeuroImage 9(2):195–207

    Article  CAS  PubMed  Google Scholar 

  • Gatterer G, Fischer P, Simanyi M, Danielczyk W (1989) The A-K-T (“Alters-Konzentrations-Test”) a new psychometric test for geriatric patients. Funct Neurol 4(3):273–276

    CAS  PubMed  Google Scholar 

  • Gazzaley A, Nobre AC (2012) Top-down modulation: bridging selective attention and working memory. Trends Cognit Sci 16(2):129–135

    Article  Google Scholar 

  • Gazzaley A, Clapp W, Kelley J, McEvoy K, Knight RT, D’Esposito M (2008) Age-related top-down suppression deficit in the early stages of cortical visual memory processing. Proc Natl Acad Sci USA 105(35):13122–13126

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Gould RL, Brown RG, Owen AM, Bullmore ET, Howard RJ (2006) Task-induced deactivations during successful paired associates learning: an effect of age but not Alzheimer’s disease. NeuroImage 31(2):818–831

    Article  PubMed  Google Scholar 

  • Grady CL, Maisog JM, Horwitz B, Ungerleider LG, Mentis MJ, Salerno JA, Haxby JV (1994) Age-related changes in cortical blood flow activation during visual processing of faces and location. J Neurosci 14(3 Pt 2):1450–1462

    CAS  PubMed  Google Scholar 

  • Grady CL, Springer MV, Hongwanishkul D, McIntosh AR, Winocur G (2006) Age-related changes in brain activity across the adult lifespan. J Cogn Neurosci 18(2):227–241. doi:10.1162/089892906775783705

    Article  PubMed  Google Scholar 

  • Griffanti L, Salimi-Khorshidi G, Beckmann CF, Auerbach EJ, Douaud G, Sexton CE, Smith SM (2014) ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging. NeuroImage 95:232–247

    Article  PubMed  PubMed Central  Google Scholar 

  • Hedden T, Gabrieli JD (2004) Insights into the ageing mind: a view from cognitive neuroscience. Nat Rev Neurosci 5(2):87–96

    Article  CAS  PubMed  Google Scholar 

  • Himberg J, Hyvarinen A. 2003. ICASSO: software for investigating the reliability of ICA estimates by clustering and visualization. In: 2003 IEEE Xiii workshop on neural networks for signal processing—Nnsp’03, pp 259–268

  • Hoerger M (2013) ZH: an updated version of Steiger’s Z and web-based calculator for testing the statistical significance of the difference between dependent correlations. http://www.psychmike.com/dependent_correlations.php

  • Hogstrom LJ, Westlye LT, Walhovd KB, Fjell AM (2013) The structure of the cerebral cortex across adult life: age-related patterns of surface area, thickness, and gyrification. Cereb Cortex 23(11):2521–2530

    Article  PubMed  Google Scholar 

  • Jenkinson M, Smith S (2001) A global optimisation method for robust affine registration of brain images. Med Image Anal 5(2):143–156

    Article  CAS  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM (2012) Fsl. NeuroImage 62(2):782–790

    Article  PubMed  Google Scholar 

  • Jones DT, Machulda MM, Vemuri P, McDade EM, Zeng G, Senjem ML, Jack CR Jr (2011) Age-related changes in the default mode network are more advanced in Alzheimer disease. Neurology 77(16):1524–1531

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kalbe E, Kessler J, Calabrese P, Smith R, Passmore AP, Brand M, Bullock R (2004) DemTect: a new, sensitive cognitive screening test to support the diagnosis of mild cognitive impairment and early dementia. Int J Geriatr Psychiatry 19:136–143

    Article  CAS  PubMed  Google Scholar 

  • Kochunov P, Mangin JF, Coyle T, Lancaster J, Thompson P, Riviere D, Fox PT (2005) Age-related morphology trends of cortical sulci. Hum Brain Mapp 26(3):210–220

    Article  PubMed  Google Scholar 

  • Kochunov P, Thompson PM, Coyle TR, Lancaster JL, Kochunov V, Royall D, Fox PT (2008) Relationship among neuroimaging indices of cerebral health during normal aging. Hum Brain Mapp 29(1):36–45

    Article  PubMed  Google Scholar 

  • Kovalev VA, Kruggel F, von Cramon DY (2003) Gender and age effects in structural brain asymmetry as measured by MRI texture analysis. NeuroImage 19(3):895–905

    Article  PubMed  Google Scholar 

  • Kujovic M, Zilles K, Malikovic A, Schleicher A, Mohlberg H, Rottschy C et al (2013) Cytoarchitectonic mapping of the human dorsal extrastriate cortex. Brain Struct Funct 218(1):157–172

    Article  PubMed  Google Scholar 

  • Li Z, Moore AB, Tyner C, Hu X (2009) Asymmetric connectivity reduction and its relationship to “HAROLD” in aging brain. Brain Res 1295:149–158

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Liu T, Wen W, Zhu W, Trollor J, Reppermund S, Crawford J, Sachdev P (2010) The effects of age and sex on cortical sulci in the elderly. NeuroImage 51(1):19–27

    Article  PubMed  Google Scholar 

  • Lux S, Hartje W, Reich C, Nagel C (2012) VGT: Verbaler Gedächtnistest: Bielefelder Kategorielle Wortlisten. Hogrefe, Göttingen

  • Lu H, Xu F, Rodrigue KM, Kennedy KM, Cheng Y, Flicker B, Park DC (2010) Alterations in cerebral metabolic rate and blood supply across the adult lifespan. Cereb Cortex 21(6):1426–1434

    Article  PubMed  PubMed Central  Google Scholar 

  • Lustig C, Snyder AZ, Bhakta M, O’Brien KC, McAvoy M, Raichle ME, Buckner RL (2003) Functional deactivations: change with age and dementia of the Alzheimer type. Proc Natl Acad Sci USA 100(24):14504–14509

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Magnotta VA, Andreasen NC, Schultz SK, Harris G, Cizadlo T, Heckel D, Flaum M (1999) Quantitative in vivo measurement of gyrification in the human brain: changes associated with aging. Cereb Cortex 9(2):151–160

    Article  CAS  PubMed  Google Scholar 

  • Malikovic A, Amunts K, Schleicher A, Mohlberg H, Eickhoff SB, Wilms M et al (2007) Cytoarchitectonic analysis of the human extrastriate cortex in the region of V5/MT+: a probabilistic, stereotaxic map of area hOc5. Cereb Cortex 17(3):562–574

    Article  PubMed  Google Scholar 

  • Mann SL, Hazlett EA, Byne W, Hof PR, Buchsbaum MS, Cohen BH, Siever LJ (2011) Anterior and posterior cingulate cortex volume in healthy adults: effects of aging and gender differences. Brain Res 1401:18–29

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mevel K, Chetelat G, Eustache F, Desgranges B (2011) The default mode network in healthy aging and Alzheimer’s disease. Int J Alzheimer’s Dis 2011:535816

    Google Scholar 

  • Morris JC, Heyman A, Mohs RC, Hughes JP, Van Belle G, Fillenbaum G, Clark C, The CERAD investigators (1989) The consortium to establish a registry for alzheimer’s disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer’s disease. Neurology 39(9):1159–1165

    Article  CAS  PubMed  Google Scholar 

  • Mowinckel AM, Espeseth T, Westlye LT (2012) Network-specific effects of age and in-scanner subject motion: a resting-state fMRI study of 238 healthy adults. NeuroImage 63(3):1364–1373

    Article  PubMed  Google Scholar 

  • Oswald WD, Fleischmann UM (1997) Das Nürnberger-Alters-Inventar (NAI) Hogrefe, Göttingen

  • Palaniyappan L, Liddle PF (2012) Aberrant cortical gyrification in schizophrenia: a surface-based morphometry study. J Psychiatry Neurosci (JPN) 37(6):399–406

    Article  Google Scholar 

  • Palaniyappan L, Marques TR, Taylor H, Handley R, Mondelli V, Bonaccorso S, Dazzan P (2013) Cortical folding defects as markers of poor treatment response in first-episode psychosis. JAMA Psychiatry 70(10):1031–1040

    Article  PubMed  Google Scholar 

  • Palomero-Gallagher N, Eickhoff SB, Hoffstaedter F, Schleicher A, Mohlberg H, Vogt BA et al (2015) Functional organization of human subgenual cortical areas: relationship between architectonical segregation and connectional heterogeneity. NeuroImage 115:177–190

    Article  PubMed  PubMed Central  Google Scholar 

  • Pardo JV, Lee JT, Sheikh SA, Surerus-Johnson C, Shah H, Munch KR, Dysken MW (2007) Where the brain grows old: decline in anterior cingulate and medial prefrontal function with normal aging. NeuroImage 35(3):1231–1237

    Article  PubMed Central  Google Scholar 

  • Pinal D, Zurron M, Diaz F, Sauseng P (2015) Stuck in default mode: inefficient cross-frequency synchronization may lead to age-related short-term memory decline. Neurobiol Aging 36(4):1611–1618

    Article  PubMed  Google Scholar 

  • Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL (2001) A default mode of brain function. Proc Natl Acad Sci USA 98(2):676–682

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Regard M, Strauss E, Knapp P (1982) Children’s production on verbal and non-verbal fluency tasks. Percept Motor Skills 55(3 Pt 1):839–844

    Article  CAS  PubMed  Google Scholar 

  • Rettmann ME, Kraut MA, Prince JL, Resnick SM (2006) Cross-sectional and longitudinal analyses of anatomical sulcal changes associated with aging. Cereb Cortex 16(11):1584–1594

    Article  PubMed  Google Scholar 

  • Saenger VM, Barrios FA, Martínez-Gudiño ML, Alcauter S (2012) Hemispheric asymmetries of functional connectivity and grey matter volume in the default mode network. Neuropsychologia 50:1308–1315

    Article  PubMed  Google Scholar 

  • Salimi-Khorshidi G, Douaud G, Beckmann CF, Glasser MF, Griffanti L, Smith SM (2014) Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers. NeuroImage 90:449–468

    Article  PubMed  PubMed Central  Google Scholar 

  • Sambataro F, Murty VP, Callicott JH, Tan HY, Das S, Weinberger DR, Mattay VS (2010) Age-related alterations in default mode network: impact on working memory performance. Neurobiol Aging 31(5):839–852

    Article  PubMed  Google Scholar 

  • Schaer M, Cuadra MB, Tamarit L, Lazeyras F, Eliez S, Thiran JP (2008) A surface-based approach to quantify local cortical gyrification. IEEE Trans Med Imaging 27(2):161–170

    Article  PubMed  Google Scholar 

  • Schaer M, Cuadra MB, Schmansky N, Fischl B, Thiran JP, Eliez S (2012) How to measure cortical folding from MR images: a step-by-step tutorial to compute local gyrification index. J Vis Exp 59:e3417

    Google Scholar 

  • Schelling D (1997) Block-tapping-test. Swets Test Service GmbH, Frankfurt

    Google Scholar 

  • Scheperjans F, Eickhoff SB, Homke L, Mohlberg H, Hermann K, Amunts K et al (2008a) Probabilistic maps, morphometry, and variability of cytoarchitectonic areas in the human superior parietal cortex. Cereb Cortex 18(9):2141–2157

    Article  PubMed  PubMed Central  Google Scholar 

  • Scheperjans F, Hermann K, Eickhoff SB, Amunts K, Schleicher A, Zilles K (2008b) Observer-independent cytoarchitectonic mapping of the human superior parietal cortex. Cereb Cortex 18(4):846–867

    Article  PubMed  Google Scholar 

  • Schilbach L, Bzdok D, Timmermans B, Fox PT, Laird AR, Vogeley K, Eickhoff SB (2012) Introspective minds: using ALE meta-analyses to study commonalities in the neural correlates of emotional processing, social and unconstrained cognition. PLoS One 7:e30920

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Schlee W, Leirer V, Kolassa IT, Weisz N, Elbert T (2012) Age-related changes in neural functional connectivity and its behavioral relevance. BMC Neurosci 13:16

    Article  PubMed  PubMed Central  Google Scholar 

  • Schmermund A, Möhlenkamp S, Stang A, Gronemeyer D, Seibel R, Hirche H, Invest HNRS (2002) Assessment of clinically silent atherosclerotic disease and established and novel risk factors for predicting myocardial infarction and cardiac death in healthy middle-aged subjects: rationale and design of the Heinz Nixdorf RECALL Study. Am Heart J 144(2):212–218

    Article  PubMed  Google Scholar 

  • Schmidt K-H, Metzler P (1992) Wortschatztest: WST: Beltz

  • Seghier ML (2013) The angular gyrus: multiple functions and multiple subdivisions. The Neuroscientist 19(1):43–61

    Article  PubMed  PubMed Central  Google Scholar 

  • Shalom DB, Poeppel D (2008) Functional anatomic models of language: assembling the pieces. The Neuroscientist 14(1):119–127

    Article  PubMed  Google Scholar 

  • Smith SM (2002) Fast robust automated brain extraction. Hum Brain Mapp 17(3):143–155

    Article  PubMed  Google Scholar 

  • Smith SM, Fox PT, Miller KL, Glahn DC, Fox PM, Mackay CE, Beckmann CF (2009) Correspondence of the brain’s functional architecture during activation and rest. Proc Natl Acad Sci USA 106(31):13040–13045

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW (2003) Mapping cortical change across the human life span. Nat Neurosci 6(3):309–315

    Article  CAS  PubMed  Google Scholar 

  • Steiger JH (1980) Tests for comparing elements of a correlation matrix. Psychol Bull 87:245–251

    Article  Google Scholar 

  • Stroop JR (1935) Studies of interference in serial verbal reactions. J Exp Psychol 18:643–662

    Article  Google Scholar 

  • Sturm W, Willmes K, Horn W (1993) Leistungsprüfungssystem für 50–90jährige. Handanweisung, 2nd edn. Hogrefe, Göttingen

    Google Scholar 

  • Tucker AM, Stern Y (2011) Cognitive reserve in aging. Curr Alzheimer Res 8:354–360

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Van Essen DC (1997) A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature 385(6614):313–318

    Article  PubMed  Google Scholar 

  • Wagner S, Sebastian A, Lieb K, Tuscher O, Tadic A (2014) A coordinate-based ALE functional MRI meta-analysis of brain activation during verbal fluency tasks in healthy control subjects. BMC Neurosci 15:19

    Article  PubMed  PubMed Central  Google Scholar 

  • Welker W (1990) Why does cerebral cortex fissure and fold? In: Jones E, Peters A (eds) cerebral cortex, vol 8B. Springer, New York, pp 3–136

    Chapter  Google Scholar 

  • White T, Su S, Schmidt M, Kao CY, Sapiro G (2010) The development of gyrification in childhood and adolescence. Brain Cogn 72(1):36–45

    Article  PubMed  Google Scholar 

  • Wu JT, Wu HZ, Yan CG, Chen WX, Zhang HY, He Y, Yang HS (2011) Aging-related changes in the default mode network and its anti-correlated networks: a resting-state fMRI study. Neurosci Lett 504(1):62–67

    Article  CAS  PubMed  Google Scholar 

  • Zhang Y, Zhang J, Xu J, Wu X, Feng H, Wang J, Jiang T (2014) Cortical gyrification reductions and subcortical atrophy in Parkinson’s disease. Mov Disord 29(1):122–126

    Article  CAS  PubMed  Google Scholar 

  • Zilles K, Amunts K (2010) Centenary of Brodmann’s map—conception and fate. Nat Rev Neurosci 11(2):139–145

    Article  CAS  PubMed  Google Scholar 

  • Zilles K, Palomero-Gallagher N (2015) Gyrification in the human brain. In: Toga AW (ed) Brain mapping: an encyclopedic reference. In: Zilles K, Amunts K (eds) Section anatomy and physiology, Chap 197. Elsevier Academic Press, San Diego, pp 37–44

  • Zilles K, Armstrong E, Schleicher A, Kretschmann HJ (1988) The human pattern of gyrification in the cerebral cortex. Anat Embryol 179(2):173–179

    Article  CAS  PubMed  Google Scholar 

  • Zilles K, Palomero-Gallagher N, Amunts K (2013) Development of cortical folding during evolution and ontogeny. Trends Neurosci 36(5):275–284

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This project was partially funded by the German National Cohort and the 1000BRAINS-Study of the Institute of Neuroscience and Medicine, Research Centre Jülich, Germany. We thank the Heinz Nixdorf Foundation (Germany) for the generous support of the Heinz Nixdorf Recall Study. The study is also supported by the German Ministry of Education and Science. Assessment of psychosocial factors and neighborhood level information is funded by the German Research Council (DFG; Project SI 236/8-1 and SI236/9-1 and ER 155/6-1, 6-2). The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under Grant Agreement No. 604102 (Human Brain Project). We thank the investigative group and the study staff of the Heinz Nixdorf Recall Study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Svenja Caspers.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jockwitz, C., Caspers, S., Lux, S. et al. Age- and function-related regional changes in cortical folding of the default mode network in older adults. Brain Struct Funct 222, 83–99 (2017). https://doi.org/10.1007/s00429-016-1202-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00429-016-1202-4

Keywords

Navigation