Abstract
Many articles involving human brain banks have been published. Bibliometric analysis can determine the history of the development of research and future research trends in a specific field. Three independent researchers retrieved and reviewed articles from the Web of Science database using the following strategy: “TS = (((brain OR cerebral) AND (bank* OR biobank*)) OR brainbank*).” The top 100 most-cited articles were identified and listed in descending order by total citations. Web of Science was used to identify ten recent articles describing bank construction. GeenMedical (https://www.geenmedical.com/) was used to identify ten recent articles from journals with an impact factor (IF) > 20. The top 100 most-cited articles citing human brain banks were published between 1991 and 2017. Fifty-two percent of the articles focused on a specific type of neurodegenerative disease, and 16% discussed the construction and development of human brain banks. Articles using brain tissue had more total and annual citations than those on bank construction. Ten articles with high IFs were published from 2017 to 2019, and they were primarily studies using novel research techniques such RNA sequencing and genome-wide association studies. Most studies were published in journals specializing in neurology or neuroscience such as Movement Disorders (10%), and had been conducted in the United States (52%) by neurologists (62%). The top 100 most-cited articles and recent publications citing human brain banks and their bibliometric characteristics were identified and analyzed, which may serve as a useful reference and pave the way for further research.
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References
Akinyemi R et al (2019a) Gender differential in inclination to donate brain for research among Nigerians: the IBADAN Brain Bank Project. Cell Tissue Bank 20:297–306. https://doi.org/10.1007/s10561-019-09769-4
Akinyemi RO et al (2019b) Brain banking in low and middle-income countries: Raison D’être for the Ibadan Brain Ageing, Dementia And Neurodegeneration (IBADAN) Brain Bank Project. Brain Res Bull 145:136–141. https://doi.org/10.1016/j.brainresbull.2018.08.014
Armstrong MJ et al (2013) Criteria for the diagnosis of corticobasal degeneration. Neurology 80:496–503. https://doi.org/10.1212/WNL.0b013e31827f0fd1
Banati RB, Daniel SE, Blunt SB (1998) Glial pathology but absence of apoptotic nigral neurons in long-standing Parkinson’s disease. Mov Disord 13:221–227. https://doi.org/10.1002/mds.870130205
Battle A, Brown CD, Engelhardt BE, Montgomery SB (2017) Genetic effects on gene expression across human tissues. Nature 550:204–213. https://doi.org/10.1038/nature24277
Beach TG et al (2008) The sun health research institute brain donation program: description and eexperience, 1987–2007. Cell Tissue Bank 9:229
Beach TG, Adler CH, Sue LI et al (2015) Arizona study of aging and neurodegenerative disorders and brain and body donation program. Neuropathology 35(4):354–389. https://doi.org/10.1111/neup.12189
Bell JE et al (2008) Management of a twenty-first century brain bank: experience in the BrainNet Europe consortium. Acta Neuropathol 115:497–507. https://doi.org/10.1007/s00401-008-0360-8
Chan RJW et al (2020) Patient attitudes towards brain donation across both neurodegenerative and non-neurodegenerative neurological disorders. Cell Tissue Bank 21:265–277. https://doi.org/10.1007/s10561-020-09819-2
Cheek J, Garnham B, Quan J (2006) What’s in a number? Issues in providing evidence of impact and quality of research(ers). Qual Health Res 16:423–435
De Pablo-Fernandez E, Lees AJ, Holton JL, Warner TT (2019) Prognosis and neuropathologic correlation of clinical subtypes of parkinson disease. JAMA Neurol 76:470–479. https://doi.org/10.1001/jamaneurol.2018.4377
Dube U et al (2019) An atlas of cortical circular RNA expression in Alzheimer disease brains demonstrates clinical and pathological associations. Nat Neurosci 22:1903–1912. https://doi.org/10.1038/s41593-019-0501-5
Durrenberger PF, Fernando S, Kashefi SN et al (2010) Effects of antemortem and postmortem variables on human brain mRNA quality: a BrainNet Europe study. J Neuropathol Exp Neurol 69(1):70–81. https://doi.org/10.1097/NEN.0b013e3181c7e32f
Ellegaard O, Wallin JA (2015) The bibliometric analysis of scholarly production: How great is the impact? Scientometrics 105:1809–1831. https://doi.org/10.1007/s11192-015-1645-z
Everall IP, Luthert PJ, Lantos PL (1991) Neuronal loss in the frontal cortex in HIV infection. Lancet (London, England) 337:1119–1121. https://doi.org/10.1016/0140-6736(91)92786-2
Farrer LA et al (1997) Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE Alzheimer Dis Meta Anal Consort Jama 278:1349–1356
Ferrer I, Santpere G, Arzberger T et al (2007) Brain protein preservation largely depends on the postmortem storage temperature: implications for study of proteins in human neurologic diseases and management of brain banks: a BrainNet Europe Study. J Neuropathol Exp Neurol 66(1):35–46. https://doi.org/10.1097/nen.0b013e31802c3e7d
Ferrer I, Martinez A, Boluda S, Parchi P, Barrachina M (2008) Brain banks: benefits, limitations and cautions concerning the use of post-mortem brain tissue for molecular studies. Cell Tissue Bank 9(3):181–194. https://doi.org/10.1007/s10561-008-9077-0
Grubman A et al (2019) A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nat Neurosci 22:2087–2097. https://doi.org/10.1038/s41593-019-0539-4
Guerreiro R et al (2018) Investigating the genetic architecture of dementia with Lewy bodies: a two-stage genome-wide association study. Lancet Neurol 17:64–74. https://doi.org/10.1016/s1474-4422(17)30400-3
Guido D, Morandi G, Palluzzi F, Borroni B (2015) Telling the story of frontotemporal dementia by bibliometric analysis. J Alzheimers Dis 48:703–709. https://doi.org/10.3233/jad-150275
Guo X, Gao L, Wang Z, Feng C, Xing B (2018) Top 100 most-cited articles on pituitary adenoma: a bibliometric analysis. World Neurosurg 116:e1153–e1167. https://doi.org/10.1016/j.wneu.2018.05.189
Harper C, Dixon G, Sheedy D, Garrick T (2003) Neuropathological alterations in alcoholic brains: studies arising from the New South Wales Tissue Resource Centre. Prog Neuro-Psychopharmacol Biol Psychiat 27:951–961. https://doi.org/10.1016/s0278-5846(03)00155-6
Huang Y, Liu Y, Liu H, Hong X, Guo X, Fang L (2019) Top 100 most-cited articles on echocardiography: a bibliometric analysis. Echocardiography 36:1540–1548. https://doi.org/10.1111/echo.14440
Hyun I, Scharf-Deering JC, Lunshof JE (2020) Ethical issues related to brain organoid research. Brain Res 1732:146653. https://doi.org/10.1016/j.brainres.2020.146653
Iritani S, Habuchi C, Sekiguchi H, Torii Y (2018) Brain research and clinical psychiatry: establishment of a psychiatry brain bank in Japan. Nagoya J Med Sci 80:309–315. https://doi.org/10.18999/nagjms.80.3.309
Isik AT, Danyeli AE, Kaya D, Soysal P, Karabay N, Gokden M (2020) The importance of brain banking for dementia practice: the first experience of Turkey. Cell Tissue Bank. https://doi.org/10.1007/s10561-020-09835-2
Kim Y et al (2018) The brain donation program in South Korea. Yonsei Med J 59:1197–1204. https://doi.org/10.3349/ymj.2018.59.10.1197
Kim ES, Yoon DY, Kim HJ, Lee K, Kim Y, Bae JS, Lee JH (2019) The most mentioned neuroimaging articles in online media: a bibliometric analysis of the top 100 articles with the highest Altmetric Attention Scores. Acta Radiol. https://doi.org/10.1177/0284185119843226
Kretzschmar H (2009) Brain banking: opportunities, challenges and meaning for the future. Nat Rev Neurosci 10:70–78. https://doi.org/10.1038/nrn2535
Kunkle BW, Grenier-Boley B, Sims R et al (2019) Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet 51(3):414–430. https://doi.org/10.1038/s41588-019-0358-2
Laferrière F et al (2019) TDP-43 extracted from frontotemporal lobar degeneration subject brains displays distinct aggregate assemblies and neurotoxic effects reflecting disease progression rates. Nat Neurosci 22:65–77. https://doi.org/10.1038/s41593-018-0294-y
Lee KH et al (2017) Proposal guidelines for standardized operating procedures of brain autopsy: brain bank in South Korea. Yonsei Med J 58:1055–1060. https://doi.org/10.3349/ymj.2017.58.5.1055
Lewis DA (2002) The human brain revisited: opportunities and challenges in postmortem studies of psychiatric disorders. Neuropsychopharmacology 26(2):143–154. https://doi.org/10.1016/S0893-133X(01)00393-1
Li X et al (2017) The impact of rare variation on gene expression across tissues. Nature 550:239–243. https://doi.org/10.1038/nature24267
Li S, Wang M, Zhou J (2020) Brain organoids: a promising living biobank resource for neuroscience research. Biopreserv Biobank 18:136–143. https://doi.org/10.1089/bio.2019.0111
Lin MP, Jowsey T, Curtis MA (2019) Why people donate their brain to science: a systematic review. Cell Tissue Bank 20:447–466. https://doi.org/10.1007/s10561-019-09786-3
Ling H et al (2010) Does corticobasal degeneration exist? A clinicopathological re-evaluation. Brain J Neurol 133:2045–2057. https://doi.org/10.1093/brain/awq123
Lu R et al (2018) Reduced TRPC6 mRNA levels in the blood cells of patients with Alzheimer’s disease and mild cognitive impairment. Mol Psychiatry 23:767–776. https://doi.org/10.1038/mp.2017.136
Ma C, Bao AM, Yan XX, Swaab DF (2019) Progress in Human Brain Banking in China. Neurosci Bull 35:179–182. https://doi.org/10.1007/s12264-019-00350-3
McFadden WC et al (2019) Perfusion fixation in brain banking: a systematic review. Acta Neuropathol Commun 7:146. https://doi.org/10.1186/s40478-019-0799-y
Moed HF (2009) New developments in the use of citation analysis in research evaluation. Arch Immunol Ther Exp 57:13–18. https://doi.org/10.1007/s00005-009-0001-5
Morgello S, Gelman BB, Kozlowski PB et al (2001) The National NeuroAIDS Tissue Consortium: a new paradigm in brain banking with an emphasis on infectious disease. Neuropathol Appl Neurobiol 27(4):326–335. https://doi.org/10.1046/j.0305-1846.2001.00334.x
Murray ME et al (2011a) Clinical and neuropathologic heterogeneity of c9FTD/ALS associated with hexanucleotide repeat expansion in C9ORF72. Acta Neuropathol 122:673–690. https://doi.org/10.1007/s00401-011-0907-y
Murray ME, Graff-Radford NR, Ross OA, Petersen RC, Duara R, Dickson DW (2011b) Neuropathologically defined subtypes of Alzheimer’s disease with distinct clinical characteristics: a retrospective study. Lancet Neurol 10:785–796. https://doi.org/10.1016/s1474-4422(11)70156-9
Park KM, Kim SE, Lee BI, Kim HC, Yoon DY, Song HK, Bae JS (2017a) Top 100 cited articles on epilepsy and status epilepticus: a bibliometric analysis. J Clin Neurosci 42:12–18. https://doi.org/10.1016/j.jocn.2017.02.065
Park KM, Park BS, Park S, Yoon DY, Bae JS (2017b) Top-100 cited articles on headache disorders: a bibliometric analysis. Clin Neurol Neurosurg 157:40–45. https://doi.org/10.1016/j.clineuro.2017.03.022
Pottier C et al (2018) Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study. Lancet Neurol 17:548–558. https://doi.org/10.1016/s1474-4422(18)30126-1
Qi XR, Verwer RWH, Bao AM, Balesar RA, Luchetti S, Zhou JN, Swaab DF (2019) Human brain slice culture: a useful tool to study brain disorders and potential therapeutic compounds. Neurosci Bull 35:244–252. https://doi.org/10.1007/s12264-018-0328-1
Quadri M et al (2018) LRP10 genetic variants in familial Parkinson’s disease and dementia with Lewy bodies: a genome-wide linkage and sequencing study. Lancet Neurol 17:597–608. https://doi.org/10.1016/s1474-4422(18)30179-0
Quirion R, Robitaille Y, Martial J, Chabot JG, Lemoine P, Pilapil C, Dalpé M (1987) Human brain receptor autoradiography using whole hemisphere sections: a general method that minimizes tissue artefacts. Synapse (New York, NY) 1:446–454. https://doi.org/10.1002/syn.890010508
Rascovsky K et al (2011) Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain J Neurol 134:2456–2477. https://doi.org/10.1093/brain/awr179
Ravid R, Swaab DF (1993) The Netherlands brain bank: a clinico-pathological link in aging and dementia research. J Neural Transm Suppl 39:143–153
Ravid R, Van Zwieten EJ, Swaab DF (1992) Brain banking and the human hypothalamus—factors to match for, pitfalls and potentials. Prog Brain Res 93:83–95. https://doi.org/10.1016/s0079-6123(08)64565-3
Samarasekera N et al (2013) Brain banking for neurological disorders. Lancet Neurol 12:1096–1105. https://doi.org/10.1016/S1474-4422(13)70202-3
Seglen PO (1997) Why the impact factor of journals should not be used for evaluating research. BMJ 314:498–502. https://doi.org/10.1136/bmj.314.7079.497
Serrano-Pozo A, Aldridge GM, Zhang Q (2017) Four decades of research in alzheimer’s disease (1975–2014): a bibliometric and scientometric analysis. J Alzheimers Dis 59:763–783. https://doi.org/10.3233/jad-170184
Sheedy D, Garrick T, Dedova I, Hunt C, Miller R, Sundqvist N, Harper C (2008) An Australian Brain Bank: a critical investment with a high return! Cell Tissue Bank 9:205–216. https://doi.org/10.1007/s10561-008-9076-1
Toledo JB, Van Deerlin VM, Lee EB et al (2014) A platform for discovery: the University of Pennsylvania integrated neurodegenerative disease biobank. Alzheimers Dement. 10(4):477–484.e1. https://doi.org/10.1016/j.jalz.2013.06.003
Torrey EF, Webster M, Knable M, Johnston N, Yolken RH (2000) The stanley foundation brain collection and neuropathology consortium. Schizophr Res 44(2):151–155. https://doi.org/10.1016/S0920-9964(99)00192-9
Trujillo Diaz D, Hernandez NC, Cortes EP, Faust PL, Vonsattel JPG, Louis ED (2018) Banking brains: a pre-mortem “how to” guide to successful donation. Cell Tissue Bank 19:473–488. https://doi.org/10.1007/s10561-018-9720-3
Venegas C, Kumar S, Franklin BS, et al (2017) Microglia-derived ASC specks cross-seed amyloid-β in Alzheimer’s disease. Nature 552(7685):355–361. https://doi.org/10.1038/nature25158
Vonsattel JP, Aizawa H, Ge P et al (1995) An improved approach to prepare human brains for research. J Neuropathol Exp Neurol 54(1):42–56. https://doi.org/10.1097/00005072-199501000-00006
Vonsattel JP, Del Amaya MP, Keller CE (2008) Twenty-first century brain banking. Processing brains for research: the Columbia University methods. Acta Neuropathol 115(5):509–532. https://doi.org/10.1007/s00401-007-0311-9
Waldvogel HJ, Curtis MA, Baer K, Rees MI, Faull RL (2006) Immunohistochemical staining of post-mortem adult human brain sections. Nat Protoc 1(6):2719–2732. https://doi.org/10.1038/nprot.2006.354
Wang Y, Zhang H, Fang R, Tang K, Sun Q (2020) The top 100 most cited articles in rosacea: a bibliometric analysis. J Eur Acad Dermatol Venereol. https://doi.org/10.1111/jdv.16305
Xiong F, Ge W, Ma C (2019) Quantitative proteomics reveals distinct composition of amyloid plaques in Alzheimer’s disease. Alzheimer’s Dement J Alzheimer’s Assoc 15:429–440. https://doi.org/10.1016/j.jalz.2018.10.006
Zeppenfeld DM et al (2017) Association of perivascular localization of aquaporin-4 with cognition and alzheimer disease in aging brains. JAMA Neurol 74:91–99. https://doi.org/10.1001/jamaneurol.2016.4370
Zhang H et al (2018) Analysis of brain donors’ demographic and medical characteristics to facilitate the construction of a human brain Bank in China. J Alzheimers Dis 66:1245–1254. https://doi.org/10.3233/jad-180779
Acknowledgements
This study was supported by grants from the National Natural Science Foundation of China (NSFC#81771205, #91632113), the Natural Science Foundation and Major Basic Research Program of Shanghai (16JC1420500, 16JC1420502), and the CAMS Innovation Fund for Medical Sciences (CIFMS #2017-I2M-3-008). We would like to thank American Journal Experts (www.aje.com) for their language editing assistance during the preparation of this manuscript.
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Tang, K., Wan, M., Zhang, H. et al. The top 100 most-cited articles citing human brain banking from 1970 to 2020: a bibliometric analysis. Cell Tissue Bank 21, 685–697 (2020). https://doi.org/10.1007/s10561-020-09849-w
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DOI: https://doi.org/10.1007/s10561-020-09849-w