Cited by 78Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on BehaviorAdvanced MRI Techniques and Applications

In vivo evidence of neurophysiological maturation of the human adolescent striatum

Open access
Larsen, Bart, Luna, Beatriz·2015·Developmental Cognitive Neuroscience

Abstract

Maturation of the striatum has been posited to play a primary role in observed increases in adolescent sensation-seeking. However, evidence of neurophysiological maturation in the human adolescent striatum is limited. We applied T2*-weighted imaging, reflecting indices of tissue-iron concentration, to provide direct in vivo evidence of neurophysiological development of the human adolescent striatum. Multivariate pattern analysis (MVPA) of striatal T2*-weighted signal generated age predictions that accounted for over 60% of the sample variance in 10-25 year olds, using both task-related and resting state fMRI. Dorsal and ventral striatum showed age related increases and decreases respectively of striatal neurophysiology suggesting qualitative differences in the maturation of limbic and executive striatal systems. In particular, the ventral striatum was found to show the greatest developmental differences and contribute most heavily to the multivariate age predictor. The relationship of the T2*-weighted signal to the striatal dopamine system is discussed. Together, results provide evidence for protracted maturation of the striatum through adolescence.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.dcn.2014.12.003

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Functional imaging studies indicate significant changes occur in the function of subcortical structures and in their relationship with cortical regions, notably in nuclei associated with reward and motivation.

    “Functional imaging studies further indicate that significant changes occur in the function of subcortical structures and in their relationship with cortical regions, notably in nuclei associated with reward and motivation [26–29].”

    From Adolescent nicotine exposure and persistent neurocircuitry changes: unveiling lifelong psychiatric risks (2025) · cites this paper as [28]

    The Introduction reports fMRI evidence of age-related differences in striatal responses to reward, and the Results (Whole-brain analysis) identify developmental changes in the ventral striatum, a reward-related region. The Discussion (T2* and the adolescent brain) discusses frontostriatal development, but the passages do not establish changes in the functional relationship between subcortical and cortical regions. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 75

  1. Adisetiyo V. Jensen J.H. Tabesh A. Deardorff R.L. Fieremans E. Multimodal MR imaging of brain iron in attention deficit hyperactivity disorder: a noninvasive biomarker that responds to psychostimulant treatment? Radiology 272 2 2014 524 532 24937545 PMC4263268
  2. Alexander G.E. DeLong M.R. Strick P.L. Parallel organization of functionally segregated circuits linking basal ganglia and cortex Annu. Rev. Neurosci. 9 1986 357 381 3085570
  3. Aoki S. Okada Y. Nishimura K. Barkovich A.J. Kjos B.O. Normal deposition of brain iron in childhood and adolescence: MR imaging at 1.5 T Radiology 172 2 1989 381 385 2748819
  4. Aquino D. Bizzi A. Grisoli M. Garavaglia B. Bruzzone M.G. Age-related iron deposition in the basal ganglia: quantitative analysis in healthy subjects? Radiology 252 1 2009 165 172 19561255
  5. Arnett J.J. Adolescent storm and stress, reconsidered Am. Psychol. 54 5 1999 317 326 10354802
  6. Beard J. Iron deficiency alters brain development and functioning? J. Nutr. 133 5 2003 1468S 1472S 12730445
  7. Beard J.L. Connor J.R. Iron status and neural functioning Annu. Rev. Nutr. 23 2003 41 58 12704220
  8. Beaulieu J.-M. Gainetdinov R.R. The physiology, signaling, and pharmacology of dopamine receptors Pharmacol. Rev. 63 1 2011 182 217 21303898
  9. Blum K. Braverman E.R. Holder J.M. Lubar J.F. Monastra V.J. Reward deficiency syndrome: a biogenetic model for the diagnosis and treatment of impulsive, addictive, and compulsive behaviors J. Psychoact. Drugs 32 Suppl. i–iv 2000 1 112 11280926
  10. Casey B.J. Jones R.M. Hare T.A. The adolescent brain Ann. N. Y. Acad. Sci. 1124 2008 111 126 18400927 PMC2475802
  11. Caviness V.S. Kennedy D.N. Richelme C. Rademacher J. Filipek P.A. The human brain age 7–11 years: a volumetric analysis based on magnetic resonance images Cereb. Cortex 6 726 1996 736 8921207
  12. Chambers R.A. Taylor J.R. Potenza M.N. Developmental neurocircuitry of motivation in adolescence: a critical period of addiction vulnerability? Am. J. Psychiatry 160 6 2003 1041 1052 12777258 PMC2919168
  13. Chang C.-C. Lin C.-J. LIBSVM: a library for support vector machines ACM Trans. Intell. Syst. Technol. 2 3 2011 1 27
  14. Chavhan G.B. Babyn P.S. Thomas B. Shroff M.M. Haacke E.M. Principles, techniques, and applications of T2*-based MR imaging and its special applications Radiographics 29 5 2009 1433 1449 19755604 PMC2799958
  15. Cohen M.X. Schoene-Bake J.-C. Elger C.E. Weber B. Connectivity-based segregation of the human striatum predicts personality characteristics? Nat. Neurosci. 12 1 2009 32 34 19029888
  16. Connor J.R. Menzies S.L. Relationship of iron to oligodendrocytes and myelination? Glia 17 2 1996 83 93 8776576
  17. Connor J.R. Wang X.-S. Allen R.P. Beard J.L. Wiesinger J.A. Altered dopaminergic profile in the putamen and substantia nigra in restless leg syndrome? Brain 132 9 2009 2403 2412 19467991 PMC2732265
  18. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages? Comput. Biomed. Res. Int. J. 29 3 1996 162 173 8812068
  19. Crews F. He J. Hodge C. Adolescent cortical development: a critical period of vulnerability for addiction? Pharmacol. Biochem. Behav. 86 2 2007 189 199 17222895 PMC11646682
  20. Daugherty A. Raz N. Age-related differences in iron content of subcortical nuclei observed in vivo: a meta-analysis Neuroimage 70 2013 113 121 23277110 PMC3580001
  21. Dosenbach N.U.F. Nardos B. Cohen A.L. Fair D.A. Power J.D. Prediction of Individual Brain Maturity Using fMRI? Science 329 5997 2010 1358 1361 20829489 PMC3135376
  22. Drayer B. Burger P. Darwin R. Riederer S. Herfkens R. Johnson G.A. MRI of brain iron? AJR Am. J. Roentgenol. 147 1 1986 103 110 3487201
  23. Eaton D.K. Kann L. Kinchen S. Ross J. Hawkins J. Youth risk behavior surveillance – United States 2005 J. Sch. Health 76 7 2006 353 372 16918870
  24. Erikson K.M. Jones B.C. Beard J.L. Iron deficiency alters dopamine transporter functioning in rat striatum? J. Nutr. 130 11 2000 2831 2837 11053528
  25. Eshel N. Nelson E.E. Blair J. Pine D.S. Ernst M. Neural substrates of choice selection in adults and adolescents: development of the ventrolateral prefrontal and anterior cingulate cortices? Neuropsychologia 45 6 2007 1270 1279 17118409 PMC2700731
  26. Galvan A. Hare T.A. Parra C.E. Penn J. Voss H. Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents? J. Neurosci. Off. J. Soc. Neurosci. 26 25 2006 6885 6892 PMC6673830 16793895
  27. Geier C.F. Terwilliger R. Teslovich T. Velanova K. Luna B. Immaturities in reward processing and its influence on inhibitory control in adolescence? Cereb. Cortex N. Y. N 1991 20 7 2010 1613 1629 PMC2882823 19875675
  28. Giedd J.N. Blumenthal J. Jeffries N.O. Castellanos F.X. Liu H. Brain development during childhood and adolescence: a longitudinal MRI study? Nat. Neurosci. 2 10 1999 861 863 10491603
  29. Haacke E.M. Ayaz M. Khan A. Manova E.S. Krishnamurthy B. Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain J. Magn. Reson. Imaging 26 2 2007 256 264 17654738
  30. Haacke E.M. Cheng N.Y.C. House M.J. Liu Q. Neelavalli J. Imaging iron stores in the brain using magnetic resonance imaging? Magn. Reson. Imaging 23 1 2005 1 25 15733784
  31. Haacke E.M. Xu Y. Cheng Y.-C.N. Reichenbach J.R. Susceptibility weighted imaging (SWI) Magn. Reson. Med. 52 3 2004 612 618 15334582
  32. Haacke E.M. Miao Y. Liu M. Habib C.A. Katkuri Y. Correlation of change in R2* and phase with putative iron content in deep gray matter of healthy adults? J. Magn. Reson. Imaging 32 3 2010 561 576 20815053 PMC2936709
  33. Hallgren B. Sourander P. The effect of age on the non-haemin iron in the human brain? J. Neurochem. 3 1 1958 41 51 13611557
  34. Harris J.J. Reynell C. Attwell D. The physiology of developmental changes in BOLD functional imaging signals? Dev. Cogn. Neurosci. 1 3 2011 199 216 22436508 PMC6987565
  35. He X. Yablonskiy D.A. Biophysical mechanisms of phase contrast in gradient echo MRI? Proc. Natl. Acad. Sci. U. S. A. 106 32 2009 13558 13563 19628691 PMC2714760
  36. Hwang K. Hallquist M.N. Luna B. The development of hub architecture in the human functional brain network? Cereb. Cortex N. Y. N 1991 23 10 2013 2380 2393 PMC3767958 22875861
  37. Hwang K. Velanova K. Luna B. Strengthening of top-down frontal cognitive control networks underlying the development of inhibitory control: an fMRI effective connectivity study? J. Neurosci. 30 46 2010 15535 15545 21084608 PMC2995693
  38. Jellen L.C. Lu L. Wang X. Unger E.L. Earley C.J. Iron deficiency alters expression of dopamine-related genes in the ventral midbrain in mice Neuroscience 252 2013 13 23 23911809 PMC3795962
  39. Kalsbeek A. Voorn P. Buijs R.M. Pool C.W. Uylings H.B. Development of the dopaminergic innervation in the prefrontal cortex of the rat? J. Comp. Neurol. 269 1 1988 58 72 3361004
  40. Knutson B. Cooper J.C. Functional magnetic resonance imaging of reward prediction? Curr. Opin. Neurol. 18 4 2005 411 417 16003117
  41. Kriegeskorte N. Goebel R. Bandettini P. Information-based functional brain mapping? Proc. Natl. Acad. Sci. U. S. A. 103 10 2006 3863 3868 16537458 PMC1383651
  42. Langkammer C. Krebs N. Goessler W. Scheurer E. Ebner F. Quantitative MR imaging of brain iron: a postmortem validation study? Radiology 257 2 2010 455 462 20843991
  43. Langkammer C. Krebs N. Goessler W. Scheurer E. Yen K. Susceptibility induced gray-white matter MRI contrast in the human brain? Neuroimage 59 2–5 2012 1413 1419 21893208 PMC3236994
  44. Lehéricy S. Ducros M. Van de Moortele P.-F. Francois C. Thivard L. Diffusion tensor fiber tracking shows distinct corticostriatal circuits in humans? Ann. Neurol. 55 4 2004 522 529 15048891
  45. Leijenhorst L.V. Zanolie K. Meel C.S.V. Westenberg P.M. Rombouts S.A.R.B. Crone E.A. What motivates the adolescent? Brain regions mediating reward sensitivity across adolescence Cereb. Cortex 20 1 2010 61 69 19406906
  46. Luna B. Garver K.E. Urban T.A. Lazar N.A. Sweeney J.A. Maturation of cognitive processes from late childhood to adulthood Child Dev. 75 2004 1357 1372 15369519
  47. Luts J. Ojeda F. Van de Plas R. De Moor B. Van Huffel S. Suykens J.A.K. A tutorial on support vector machine-based methods for classification problems in chemometrics? Anal. Chim. Acta 665 2 2010 129 145 20417323
  48. Martinez D. Slifstein M. Broft A. Mawlawi O. Hwang D.-R. Imaging human mesolimbic dopamine transmission with positron emission tomography, Part II: amphetamine-induced dopamine release in the functional subdivisions of the striatum J. Cereb. Blood Flow Metab. Off. J. Int. Soc. Cereb. Blood Flow Metab. 23 3 2003 285 300 12621304
  49. Martino A.D. Scheres A. Margulies D.S. Kelly A.M.C. Uddin L.Q. Functional connectivity of human striatum: a resting state fMRI study? Cereb. Cortex 18 12 2008 2735 2747 18400794
  50. McClure S.M. Berns G.S. Montague P.R. Temporal prediction errors in a passive learning task activate human striatum? Neuron 38 2 2003 339 346 12718866
  51. McGinty V.B. Lardeux S. Taha S.A. Kim J.J. Nicola S.M. Invigoration of reward seeking by cue and proximity encoding in the nucleus accumbens? Neuron 78 5 2013 910 922 23764290 PMC3954588
  52. Middleton F.A. Strick P.L. Basal ganglia and cerebellar loops: motor and cognitive circuits Brain Res. Rev. 31 2–3 2000 236 250 10719151
  53. Misaki M. Kim Y. Bandettini P.A. Kriegeskorte N. Comparison of multivariate classifiers and response normalizations for pattern-information fMRI? Neuroimage 53 1 2010 103 118 20580933 PMC2914143
  54. Misaki M. Luh W.-M. Bandettini P.A. The effect of spatial smoothing on fMRI decoding of columnar-level organization with linear support vector machine? J. Neurosci. Methods 212 2 2013 355 361 23174092 PMC3563923
  55. Moos T. Brain iron homeostasis? Dan. Med. Bull. 49 4 2002 279 301 12553165
  56. Pauling L. Magnetic properties and structure of oxyhemoglobin? Proc. Natl. Acad. Sci. U. S. A. 74 7 1977 2612 2613 268611 PMC431209
  57. Pereira F. Mitchell T. Botvinick M. Machine learning classifiers and fMRI: a tutorial overview Neuroimage 45 1 Suppl. 2009 S199 S209 19070668 PMC2892746
  58. Postuma R.B. Dagher A. Basal ganglia functional connectivity based on a meta-analysis of 126 positron emission tomography and functional magnetic resonance imaging publications? Cereb. Cortex 16 10 2006 1508 1521 16373457
  59. Puglisi-Allegra S. Ventura R. Prefrontal/accumbal catecholamine system processes emotionally driven attribution of motivational salience Rev. Neurosci. 23 5–6 2012 23159865
  60. Raznahan A. Shaw P.W. Lerch J.P. Clasen L.S. Greenstein D. Longitudinal four-dimensional mapping of subcortical anatomy in human development? Proc. Natl. Acad. Sci. 111 4 2014 1592 1597 24474784 PMC3910572
  61. Schenck J.F. Magnetic resonance imaging of brain iron J. Neurol. Sci. 207 1–2 2003 99 102 12614939
  62. Schöning M. Hartig B. Age dependence of total cerebral blood flow volume from childhood to adulthood? J. Cereb. Blood Flow Metab. 16 5 1996 827 833 8784227
  63. Sedlacik J. Boelmans K. Löbel U. Holst B. Siemonsen S. Fiehler J. Reversible, irreversible and effective transverse relaxation rates in normal aging brain at 3 T Neuroimage 84 2014 1032 1041 24004692
  64. Smith S.M. Jenkinson M. Woolrich M.W. Beckmann C.F. Behrens T.E.J. Advances in functional and structural MR image analysis and implementation as FSL Neuroimage 23 Suppl. 1 2004 S208 S219 15501092
  65. Sowell E.R. Thompson P.M. Holmes C.J. Jernigan T.L. Toga A.W. In vivo evidence for post-adolescent brain maturation in frontal and striatal regions? Nat. Neurosci. 2 10 1999 859 861 10491602
  66. Spear L.P. The adolescent brain and age-related behavioral manifestations? Neurosci. Biobehav. Rev. 24 4 2000 417 463 10817843
  67. Tarazi F.I. Tomasini E.C. Baldessarini R.J. Postnatal development of dopamine and serotonin transporters in rat caudate-putamen and nucleus accumbens septi? Neurosci. Lett. 254 1 1998 21 24 9780082
  68. Teicher M.H. Andersen S.L. Hostetter J.C. Jr. Evidence for dopamine receptor pruning between adolescence and adulthood in striatum but not nucleus accumbens Brain Res. Dev. Brain Res. 89 2 1995 167 172 8612321
  69. Todorich B. Pasquini J.M. Garcia C.I. Paez P.M. Connor J.R. Oligodendrocytes and myelination: the role of iron? Glia 57 5 2009 467 478 18837051
  70. Vapnik V.N. An overview of statistical learning theory IEEE Trans. Neural Netw. 10 5 1999 988 999 18252602
  71. Vo L.T.K. Walther D.B. Kramer A.F. Erickson K.I. Boot W.R. Predicting individuals’ learning success from patterns of pre-learning MRI activity PLoS ONE 6 1 2011 e16093 21264257 PMC3021541
  72. Vymazal J. Brooks R.A. Baumgarner C. Tran V. Katz D. The relation between brain iron and NMR relaxation times: an in vitro study Magn. Reson. Med. 35 1 1996 56 61 8771022
  73. Wang J. Shaffer M.L. Eslinger P.J. Sun X. Weitekamp C.W. Maturational and aging effects on human brain apparent transverse relaxation PLoS ONE 7 2 2012 e31907 22363767 PMC3283700
  74. Wiesinger J.A. Buwen J.P. Cifelli C.J. Unger E.L. Jones B.C. Beard J.L. Down-regulation of dopamine transporter by iron chelation in vitro is mediated by altered trafficking, not synthesis J. Neurochem. 100 1 2007 167 179 17227437
  75. Yao B. Li T.-Q. van Gelderen P. Shmueli K. de Zwart J.A. Duyn J.H. Susceptibility contrast in high field MRI of human brain as a function of tissue iron content? Neuroimage 44 4 2009 1259 1266 19027861 PMC2670442

Cited by

Sorted by citations

Authors
Larsen, B., & Luna, B.
Affiliations
University of Pittsburgh (US)
Corresponding author
Larsen, Bart
Venue
Developmental Cognitive Neuroscience
Publisher
Elsevier BV
Published
2015-04
Volume
12
Pages
74-85
ISSN
1878-9293 (ISSN-L)
OpenAlex
W1967924369
Cited by
78
References
13
Citations by year
2026: 4 · 2025: 7 · 2024: 5 · 2023: 7 · 2022: 12 · 2021: 5 · 2020: 9 · 2019: 2 · 2018: 15 · 2017: 7 · 2016: 3 · 2015: 2
FWCI
2.05
Type
journal article
Language
en
Open access
Locations
  • Developmental Cognitive Neuroscience (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Institutes of Health (5R01 MH080243)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
striatum, adolescent brain development, ventral striatum, dorsal striatum, T2-weighted imaging, multivariate pattern analysis, age prediction, sensation seeking, dopaminergic system, resting-state fMRI, task-based fMRI
MeSH terms
Adolescent, Adult, Child, Corpus Striatum, Dopamine, Female, Humans, Limbic System, Magnetic Resonance Imaging, Male, Multivariate Analysis, Neostriatum, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review