Effects of prenatal nutrient supplementation and early life exposures on neurodevelopment at age 10: a randomised controlled trial - the COPSYCH study protocol

Parisa Mohammadzadeh, Julie Bøjstrup Rosenberg, Rebecca Vinding, Jens Richardt Møllegaard Jepsen, Ulrich Lindberg, Nilo Følsgaard, Mikkel Erlang Sørensen, Daban Sulaiman, Niels Bilenberg, Jayachandra Mitta Raghava, Birgitte Fagerlund, Mark Vestergaard, Christos Pantelis, Jakob Stokholm, Bo Chawes, Henrik Larsson, Birte Yding Glenthøj, Klaus Bønnelykke, Bjørn H Ebdrup, Hans Bisgaard, Parisa Mohammadzadeh, Julie Bøjstrup Rosenberg, Rebecca Vinding, Jens Richardt Møllegaard Jepsen, Ulrich Lindberg, Nilo Følsgaard, Mikkel Erlang Sørensen, Daban Sulaiman, Niels Bilenberg, Jayachandra Mitta Raghava, Birgitte Fagerlund, Mark Vestergaard, Christos Pantelis, Jakob Stokholm, Bo Chawes, Henrik Larsson, Birte Yding Glenthøj, Klaus Bønnelykke, Bjørn H Ebdrup, Hans Bisgaard

Abstract

Introduction: Nutrient deficiency and immune and inflammatory disturbances in early life may compromise neurodevelopment and be implicated in the aetiology of psychiatric disorders. However, current evidence is limited by its predominantly observational nature. COpenhagen Prospective Study on Neuro-PSYCHiatric Development (COPSYCH) is a research alliance between Copenhagen Prospective Studies on Asthma in Childhood (COPSAC) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research with the overall aim to investigate effects of prenatal and early life exposures on neurodevelopment at 10 years. COPSYCH will investigate the impact of prenatal n-3 long-chain polyunsaturated fatty acids (n-3 LCPUFA) and high-dose vitamin D supplementation on neurodevelopment reflected by brain development, neurocognition and psychopathology. Moreover, the neurodevelopmental impact of early life exposures such as infections, low grade inflammation and the gut microbiome will be scrutinised.

Methods and analysis: COPSYCH is based on the prospective and ongoing COPSAC2010 birth cohort of 700 mother-child pairs. Randomised controlled trials of supplementation with n-3 LCPUFA and/or high-dose vitamin D or placebo in the third trimester were embedded in a factorial 2×2 design (ClinicalTrials.gov: NCT01233297 and NCT00856947). This unique cohort provides deep phenotyping data from 14 previous clinical follow-up visits and exposure assessments since birth. The ongoing 10-year visit is a 2-day visit. Day 1 includes a comprehensive neurocognitive examination, and assessment of psychopathological dimensions, and assessment of categorical psychopathology. Day 2 includes acquisition of brain structural, diffusion and functional sequences using 3 Tesla MRI. Study outcomes are neurocognitive, psychopathological and MRI measures.

Ethics and dissemination: This study has been approved by the Danish National Committee on Health Research Ethics and The Danish Data Protection Agency. The study is conducted in accordance with the guiding principles of the Declaration of Helsinki. Parents gave written informed consent before enrolment.

Keywords: child & adolescent psychiatry; mental health; paediatric infectious disease & immunisation; paediatric radiology.

Conflict of interest statement

Competing interests: BHE is part of the Advisory Board of Eli Lilly Denmark A/S, JanssenCilag, Lundbeck Pharma A/S and Takeda Pharmaceutical Company; and has received lecture fees from Bristol Myers Squibb, Otsuka Pharma Scandinavia AB, Eli Lilly Company, Boehringer Ingelheim Danmark A/S and Lundbeck Pharma A/S.

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Overview of inflammation and infection markers in COPSAC2010 (mothers) - Modified from: http://copsac.com/home/copsac-cohorts/copsac2010-clinic/)
Figure 2
Figure 2
Overview of inflammation and infection markers in COPSAC2010 (children) - Modified from: http://copsac.com/home/copsac-cohorts/copsac2010-clinic/)
Figure 3
Figure 3
Neurodevelopmental outcomes in COPSAC2010. ADHD-RS, Attention Deficit/Hyperactivity Disorder-Rating Scale; ASQ, Ages and Stages Questionnaire; COPSAC2010, Copenhagen Prospective Studies on Asthma in Childhood 2010; COPSYCH, COpenhagen Prospective Study on Neuro-PSYCHiatric Development; SDQ, Strengths and Difficulties Questionnaire.

References

    1. Marques AH, O'Connor TG, Roth C, et al. . The influence of maternal prenatal and early childhood nutrition and maternal prenatal stress on offspring immune system development and neurodevelopmental disorders. Front Neurosci 2013;7:120. 10.3389/fnins.2013.00120
    1. Cross-Disorder Group of the Psychiatric Genomics Consortium . Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 2013;381:1371–9. 10.1016/S0140-6736(12)62129-1
    1. Shih RA, Belmonte PL, Zandi PP. A review of the evidence from family, twin and adoption studies for a genetic contribution to adult psychiatric disorders. Int Rev Psychiatry 2004;16:260–83. 10.1080/09540260400014401
    1. Owen MJ, O'Donovan MC, Thapar A, et al. . Neurodevelopmental hypothesis of schizophrenia. Br J Psychiatry 2011;198:173–5. 10.1192/bjp.bp.110.084384
    1. Craddock N, Owen MJ. The Kraepelinian dichotomy - going, going… but still not gone. Br J Psychiatry 2010;196:92–5. 10.1192/bjp.bp.109.073429
    1. De-Regil LM, Fernández-Gaxiola AC, Dowswell T, et al. . Effects and safety of periconceptional folate supplementation for preventing birth defects. Cochrane Database Syst Rev 2010;10:CD007950. 10.1002/14651858.CD007950.pub2
    1. Hoskens J, Klingels K, Smits-Engelsman B. Validity and cross-cultural differences of the Bayley scales of infant and toddler development, third edition in typically developing infants. Early Hum Dev 2018;125:17–25. 10.1016/j.earlhumdev.2018.07.002
    1. Goodman R. Psychometric properties of the strengths and difficulties questionnaire. J Am Acad Child Adolesc Psychiatry 2001;40:1337–45. 10.1097/00004583-200111000-00015
    1. Goodman R. The extended version of the strengths and difficulties questionnaire as a guide to child psychiatric caseness and consequent burden. J Child Psychol Psychiatry 1999;40:791–9. 10.1111/1469-7610.00494
    1. Obel C, Dalsgaard S, Stax H-P, et al. . [Strengths and difficulties questionnaire (SDQ-Dan). A new instrument for psychopathologic screening of children aged 4-16 years]. Ugeskr Laeger 2003;165:462–5.
    1. Sass L, Bjarnadóttir E, Stokholm J, et al. . Fish oil supplementation in pregnancy and neurodevelopment in Childhood-A randomized clinical trial. Child Dev 2021;92:1624–35. 10.1111/cdev.13541
    1. Sass L, Vinding RK, Stokholm J, et al. . High-Dose vitamin D supplementation in pregnancy and neurodevelopment in childhood: a Prespecified secondary analysis of a randomized clinical trial. JAMA Netw Open 2020;3:e2026018. 10.1001/jamanetworkopen.2020.26018
    1. Khandaker GM, Zimbron J, Lewis G, et al. . Prenatal maternal infection, neurodevelopment and adult schizophrenia: a systematic review of population-based studies. Psychol Med 2013;43:239–57. 10.1017/S0033291712000736
    1. Brown AS. Epidemiologic studies of exposure to prenatal infection and risk of schizophrenia and autism. Dev Neurobiol 2012;72:1272–6. 10.1002/dneu.22024
    1. Nielsen PR, Benros ME, Mortensen PB. Hospital contacts with infection and risk of schizophrenia: a population-based cohort study with linkage of Danish national registers. Schizophr Bull 2014;40:1526–32. 10.1093/schbul/sbt200
    1. Köhler O, Petersen L, Mors O, et al. . Infections and exposure to anti-infective agents and the risk of severe mental disorders: a nationwide study. Acta Psychiatr Scand 2017;135:97–105. 10.1111/acps.12671
    1. Benros ME, Nielsen PR, Nordentoft M, et al. . Autoimmune diseases and severe infections as risk factors for schizophrenia: a 30-year population-based register study. Am J Psychiatry 2011;168:1303–10. 10.1176/appi.ajp.2011.11030516
    1. Köhler-Forsberg O, Petersen L, Gasse C, et al. . A nationwide study in Denmark of the association between treated infections and the subsequent risk of treated mental disorders in children and adolescents. JAMA Psychiatry 2019;76:271–9. 10.1001/jamapsychiatry.2018.3428
    1. Schans Jvander, Çiçek R, de Vries TW, et al. . Association of atopic diseases and attention-deficit/hyperactivity disorder: a systematic review and meta-analyses. Neurosci Biobehav Rev 2017;74:139–48. 10.1016/j.neubiorev.2017.01.011
    1. Pedersen MS, Benros ME, Agerbo E, et al. . Schizophrenia in patients with atopic disorders with particular emphasis on asthma: a Danish population-based study. Schizophr Res 2012;138:58–62. 10.1016/j.schres.2012.02.019
    1. Meyer U, Schwarz MJ, Müller N. Inflammatory processes in schizophrenia: a promising neuroimmunological target for the treatment of negative/cognitive symptoms and beyond. Pharmacol Ther 2011;132:96–110. 10.1016/j.pharmthera.2011.06.003
    1. Kaas TH, Vinding RK, Stokholm J, et al. . Association between childhood asthma and attention deficit hyperactivity or autism spectrum disorders: a systematic review with meta-analysis. Clin Exp Allergy 2021;51:228-252. 10.1111/cea.13750
    1. McNamara RK, Szeszko PR, Smesny S, et al. . Polyunsaturated fatty acid biostatus, phospholipase A2 activity and brain white matter microstructure across adolescence. Neuroscience 2017;343:423–33. 10.1016/j.neuroscience.2016.12.007
    1. McGrath JJ, Féron FP, Burne THJ, et al. . Vitamin D3-implications for brain development. J Steroid Biochem Mol Biol 2004;89-90:557–60. 10.1016/j.jsbmb.2004.03.070
    1. Sable PS, Dangat KD, Joshi AA, et al. . Maternal omega 3 fatty acid supplementation during pregnancy to a micronutrient-imbalanced diet protects postnatal reduction of brain neurotrophins in the rat offspring. Neuroscience 2012;217:46–55. 10.1016/j.neuroscience.2012.05.001
    1. Filley CM, Fields RD. White matter and cognition: making the connection. J Neurophysiol 2016;116:2093–104. 10.1152/jn.00221.2016
    1. Gould JF, Smithers LG, Makrides M. The effect of maternal omega-3 (n-3) LCPUFA supplementation during pregnancy on early childhood cognitive and visual development: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr 2013;97:531–44. 10.3945/ajcn.112.045781
    1. Makrides M, Gibson RA, McPhee AJ, et al. . Effect of DHA supplementation during pregnancy on maternal depression and neurodevelopment of young children: a randomized controlled trial. JAMA 2010;304:1675–83. 10.1001/jama.2010.1507
    1. Salvig JD, Lamont RF. Evidence regarding an effect of marine n-3 fatty acids on preterm birth: a systematic review and meta-analysis. Acta Obstet Gynecol Scand 2011;90:825–38. 10.1111/j.1600-0412.2011.01171.x
    1. Cryan JF, O'Riordan KJ, Cowan CSM, et al. . The microbiota-gut-brain axis. Physiol Rev 2019;99:1877–2013. 10.1152/physrev.00018.2018
    1. Proctor C, Thiennimitr P, Chattipakorn N, et al. . Diet, gut microbiota and cognition. Metab Brain Dis 2017;32:1–17. 10.1007/s11011-016-9917-8
    1. Leyrolle Q, Decoeur F, Briere G, et al. . Maternal dietary omega-3 deficiency worsens the deleterious effects of prenatal inflammation on the gut-brain axis in the offspring across lifetime. Neuropsychopharmacology 2021;46:579-602. 10.1038/s41386-020-00793-7
    1. Mirzaei MK, Maurice CF. Ménage à trois in the human gut: interactions between host, bacteria and phages. Nat Rev Microbiol 2017;15:397–408. 10.1038/nrmicro.2017.30
    1. Zhao G, Vatanen T, Droit L, et al. . Intestinal virome changes precede autoimmunity in type I diabetes-susceptible children. Proc Natl Acad Sci U S A 2017;114:E6166–75. 10.1073/pnas.1706359114
    1. Hsu BB, Gibson TE, Yeliseyev V, et al. . Dynamic modulation of the gut microbiota and metabolome by bacteriophages in a mouse model. Cell Host Microbe 2019;25:803–14. 10.1016/j.chom.2019.05.001
    1. Fedak KM, Bernal A, Capshaw ZA, et al. . Applying the Bradford Hill criteria in the 21st century: how data integration has changed causal inference in molecular epidemiology. Emerg Themes Epidemiol 2015;12:14. 10.1186/s12982-015-0037-4
    1. Bisgaard H, Vissing NH, Carson CG, et al. . Deep phenotyping of the unselected COPSAC2010 birth cohort study. Clin Exp Allergy 2013;43:1384–94. 10.1111/cea.12213
    1. Sahakian BJ, Owen AM. Computerized assessment in neuropsychiatry using Cantab: discussion paper. J R Soc Med 1992;85:399–402.
    1. De Luca CR, Wood SJ, Anderson V, et al. . Normative data from the CANTAB. I: development of executive function over the lifespan. J Clin Exp Neuropsychol 2003;25:242–54. 10.1076/jcen.25.2.242.13639
    1. Hemager N, Plessen KJ, Thorup A, et al. . Assessment of neurocognitive functions in 7-year-old children at familial high risk for schizophrenia or bipolar disorder: the Danish high risk and resilience study via 7. JAMA Psychiatry 2018;75:844–52. 10.1001/jamapsychiatry.2018.1415
    1. Luciana M, Nelson CA. Assessment of neuropsychological function through use of the Cambridge neuropsychological testing automated battery: performance in 4- to 12-year-old children. Dev Neuropsychol 2002;22:595–624. 10.1207/S15326942DN2203_3
    1. Wechsler DAntonio S, ed. Wechsler intelligence scale for children. 4th edn. TX: The Psychological Corporation, 2003.
    1. Delis DC, Kaplan E, Kramer JH. Delis-Kaplan executive function system: D-KEFS, 2001: 144 p.
    1. NJA GS, ed. TOMAL-2. encyclopedia of child behavior and development. Springer, 2011.
    1. Merker B, Podell K. Grooved pegboard test. Encyclopedia of clinical neuropsychology 2011:1176–8.
    1. Skogan AH, Oerbeck B, Christiansen C, et al. . Updated developmental norms for fine motor functions as measured by finger tapping speed and the grooved Pegboard test. Dev Neuropsychol 2018;43:551–65. 10.1080/87565641.2018.1495724
    1. Dodzik P. Behavior rating inventory of executive function. In: Gioia GA, Isquith PK, Guy SC, et al., eds. Journal of pediatric neuropsychology. Vol. 3. 2nd edn, 2017: 227–31.
    1. Kaufman J, Birmaher B, Brent D, et al. . Schedule for affective disorders and schizophrenia for school-age Children-Present and lifetime version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry 1997;36:980–8. 10.1097/00004583-199707000-00021
    1. Thorup AAE, Jepsen JR, Ellersgaard DV, et al. . The Danish high risk and resilience study--VIA 7--a cohort study of 520 7-year-old children born of parents diagnosed with either schizophrenia, bipolar disorder or neither of these two mental disorders. BMC Psychiatry 2015;15:233. 10.1186/s12888-015-0616-5
    1. Ellersgaard D, Jessica Plessen K, Richardt Jepsen J, et al. . Psychopathology in 7-year-old children with familial high risk of developing schizophrenia spectrum psychosis or bipolar disorder - The Danish High Risk and Resilience Study - VIA 7, a population-based cohort study. World Psychiatry 2018;17:210–9. 10.1002/wps.20527
    1. Jeppesen P, Larsen JT, Clemmensen L, et al. . The CCC2000 birth cohort study of register-based family history of mental disorders and psychotic experiences in offspring. Schizophr Bull 2015;41:1084–94. 10.1093/schbul/sbu167
    1. Kaczkurkin AN, Park SS, Sotiras A, et al. . Evidence for dissociable linkage of dimensions of psychopathology to brain structure in youths. Am J Psychiatry 2019;176:1000–9. 10.1176/appi.ajp.2019.18070835
    1. Shaffer D, et al. . A children’s global assessment scale (CGAS). Arch Gen Psychiatry 1983;40:1228–31. 10.1001/archpsyc.1983.01790100074010
    1. World Health Organization . The ICD-10 classification of mental and behavioural disorders: diagnostic criteria for research. World Health Organization, 1993: 248.
    1. American Psychiatric Association . Diagnostic and statistical manual of mental disorders (DSM-5®. American Psychiatric Pub, 2013: 991.
    1. Makransky G, Bilenberg N. Psychometric properties of the parent and teacher ADHD rating scale (ADHD-RS): measurement invariance across gender, age, and informant. Assessment 2014;21:694–705. 10.1177/1073191114535242
    1. Constantino JN, Gruber CP. Social responsiveness scale: SRS-2. CA: Western Psychological Services Torrance, 2012.
    1. Constantino JN, Davis SA, Todd RD, et al. . Validation of a brief quantitative measure of autistic traits: comparison of the social responsiveness scale with the autism diagnostic interview-revised. J Autism Dev Disord 2003;33:427–33. 10.1023/A:1025014929212
    1. Achenbach TM. Manual for the ASEBA school-age forms & profiles. BurlingtonRescorla LA: University of Vermont, Research Center for Children, Youth, & Families, 2001.
    1. Bilenberg N. The child behavior checklist (CBCL) and related material: standardization and validation in Danish population based and clinically based samples. Acta Psychiatr Scand Suppl 1999;398:2–52. 10.1111/j.1600-0447.1999.tb10703.x
    1. Niclasen J, Teasdale TW, Andersen A-MN, et al. . Psychometric properties of the Danish strength and difficulties questionnaire: the SDQ assessed for more than 70,000 raters in four different cohorts. PLoS One 2012;7:e32025. 10.1371/journal.pone.0032025
    1. McConaughy SH ATM. Manual for the test observation form for ages 2-18. Burlington: University of Vermont, Center for Children, Youth, & Families, 2004.
    1. Brasholt M, Chawes B, Kreiner-Møller E, et al. . Objective assessment of levels and patterns of physical activity in preschool children. Pediatr Res 2013;74:333–8. 10.1038/pr.2013.99
    1. Rago D, Rasmussen MA, Lee-Sarwar KA, et al. . Fish-Oil supplementation in pregnancy, child metabolomics and asthma risk. EBioMedicine 2019;46:399–410. 10.1016/j.ebiom.2019.07.057
    1. Chawes BL, Giordano G, Pirillo P, et al. . Neonatal urine metabolic profiling and development of childhood asthma. Metabolites 2019;9. 10.3390/metabo9090185. [Epub ahead of print: 16 09 2019]. 10.3390/metabo9090185
    1. Stokholm J, Blaser MJ, Thorsen J, et al. . Maturation of the gut microbiome and risk of asthma in childhood. Nat Commun 2018;9:141. 10.1038/s41467-017-02573-2
    1. Thysen AH, Waage J, Larsen JM, et al. . Distinct immune phenotypes in infants developing asthma during childhood. Sci Transl Med 2020;12. 10.1126/scitranslmed.aaw0258. [Epub ahead of print: 05 02 2020]. 10.1126/scitranslmed.aaw0258
    1. Bisgaard H, Pipper CB, Bønnelykke K. Endotyping early childhood asthma by quantitative symptom assessment. J Allergy Clin Immunol 2011;127:1155–64. 10.1016/j.jaci.2011.02.007
    1. Bisgaard H, Hermansen MN, Buchvald F, et al. . Childhood asthma after bacterial colonization of the airway in neonates. N Engl J Med 2007;357:1487–95. 10.1056/NEJMoa052632
    1. Bisgaard H, Nielsen KG. Plethysmographic measurements of specific airway resistance in young children. Chest 2005;128:355–62. 10.1378/chest.128.1.355
    1. Arianto L, Hallas H, Stokholm J, et al. . Multiple breath washout for diagnosing asthma and persistent wheeze in young children. Ann Am Thorac Soc 2019;16:599–605. 10.1513/AnnalsATS.201807-503OC
    1. Kreiner-Møller E, Chawes BLK, Caye-Thomasen P, et al. . Allergic rhinitis is associated with otitis media with effusion: a birth cohort study. Clin Exp Allergy 2012;42:1615–20. 10.1111/j.1365-2222.2012.04038.x
    1. Schoos A-MM, Chawes BL, Rasmussen MA, et al. . Atopic endotype in childhood. J Allergy Clin Immunol 2016;137:844–51. 10.1016/j.jaci.2015.10.004
    1. Hanifin JM RG. Diagnostic features of atopic dermatitis. Acta Derm Venereol 1980;92:44–7.
    1. Severity scoring of atopic dermatitis: the SCORAD index. consensus report of the European Task force on atopic dermatitis. Dermatology 1993;186:23–31.
    1. Bisgaard H, Halkjaer LB, Hinge R, et al. . Risk analysis of early childhood eczema. J Allergy Clin Immunol 2009;123:1355–60. 10.1016/j.jaci.2009.03.046
    1. Halkjaer LB, Loland L, Buchvald FF, et al. . Development of atopic dermatitis during the first 3 years of life: the Copenhagen prospective study on asthma in childhood cohort study in high-risk children. Arch Dermatol 2006;142:561–6. 10.1001/archderm.142.5.561
    1. Bjarnadóttir E, Stokholm J, Chawes B, et al. . Determinants of neurodevelopment in early childhood - results from the Copenhagen prospective studies on asthma in childhood (COPSAC2010) mother-child cohort. Acta Paediatr 2019;108:1632–41. 10.1111/apa.14753
    1. Frankenburg WK, Dodds J, Archer P. The Denver II: a major revision and restandardization of the Denver developmental screening test. Pediatrics 1992;89:91–7.
    1. WHO Multicentre Growth Reference Study Group . Who motor development study: windows of achievement for six gross motor development milestones. Acta Paediatr Suppl 2006;450:86–95. 10.1111/j.1651-2227.2006.tb02379.x
    1. Bleses D, Vach W, Slott M, et al. . The Danish communicative developmental inventories: validity and main developmental trends. J Child Lang 2008;35:651–69. 10.1017/S0305000907008574
    1. Squires J, Bricker DD, Twombly E. Ages & Stages Questionnaires: A Parent-completed Child Monitoring System. Brookes Pub, 2009: 170.
    1. Alexandre JL, Lange A-M, Bilenberg N, et al. . The ADHD rating scale-IV preschool version: factor structure, reliability, validity, and standardisation in a Danish community sample. Res Dev Disabil 2018;78:125–35. 10.1016/j.ridd.2018.05.006
    1. Wechsler D. Wechsler intelligence scale for children. 4th edn. Pearson, 2010.
    1. Dalsgaard S, McGrath J, Østergaard SD, et al. . Association of mental disorder in childhood and adolescence with subsequent educational achievement. JAMA Psychiatry 2020;77:797. 10.1001/jamapsychiatry.2020.0217
    1. Burt KB, Van Dulmen MHM, Carlivati J, et al. . Mediating links between maternal depression and offspring psychopathology: the importance of independent data. J Child Psychol Psychiatry 2005;46:490–9. 10.1111/j.1469-7610.2004.00367.x
    1. Johns LC, van Os J. The continuity of psychotic experiences in the general population. Clin Psychol Rev 2001;21:1125–41. 10.1016/S0272-7358(01)00103-9
    1. Kelleher I, Connor D, Clarke MC, et al. . Prevalence of psychotic symptoms in childhood and adolescence: a systematic review and meta-analysis of population-based studies. Psychol Med 2012;42:1857–63. 10.1017/S0033291711002960
    1. Rimvall MK, van Os J, Rask CU, et al. . Psychotic experiences from preadolescence to adolescence: when should we be worried about adolescent risk behaviors? Eur Child Adolesc Psychiatry 2020;29:1251-1264. 10.1007/s00787-019-01439-w
    1. Vestergaard MB, Jensen ML, Arngrim N, et al. . Higher physiological vulnerability to hypoxic exposure with advancing age in the human brain. J Cereb Blood Flow Metab 2020;40:341–53. 10.1177/0271678X18818291

Source: PubMed

3
订阅