Academic Journal
Disrupted Sensory-Motor Network Integrity in Excessive Online Gaming: Insight From Multimodal Morphometric Mapping.
| Title: | Disrupted Sensory-Motor Network Integrity in Excessive Online Gaming: Insight From Multimodal Morphometric Mapping. |
|---|---|
| Authors: | Abudouxukuer Z; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China., Afiadenyo M; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China., Yang Z; School of Psychological Sciences, Monash University, Clayton, Victoria, Australia., Becker B; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.; Department of Psychology, The University of Hong Kong, Hong Kong, China., Ferraro S; China-Cuba Belt and Road Joint Laboratory on Neurotechnology and Brain-Apparatus Communication, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China., Agoalikum E; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.; Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Angmorterh SK; Department of Medical Imaging School of Allied Health Sciences, University of Health and Allied Sciences, Ho, Ghana., Djankpa FT; Department of Physiology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana., Adams L; Department of Microbiology and Immunology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana., Biswal BB; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA., Klugah-Brown B; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.; China-Cuba Belt and Road Joint Laboratory on Neurotechnology and Brain-Apparatus Communication, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China. |
| Source: | Brain and behavior [Brain Behav] 2026 Oct; Vol. 16 (10), pp. e71823. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: John Wiley & Sons Country of Publication: United States NLM ID: 101570837 Publication Model: Print Cited Medium: Internet ISSN: 2162-3279 (Electronic) NLM ISO Abbreviation: Brain Behav Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Hoboken, NJ : John Wiley & Sons |
| MeSH Terms: | Internet Addiction Disorder*/physiopathology , Internet Addiction Disorder*/diagnostic imaging , Gray Matter*/diagnostic imaging , Gray Matter*/physiopathology , Brain*/physiopathology , Brain*/diagnostic imaging , Nerve Net*/physiopathology , Nerve Net*/diagnostic imaging , Video Games*, Brain Mapping/methods ; Neural Pathways/physiopathology ; Thalamus/diagnostic imaging ; Thalamus/physiopathology ; Humans ; Magnetic Resonance Imaging ; Male ; Female ; Young Adult ; Adult ; Digital Media |
| Abstract: | Introduction: Excessive online gaming (EOG) is a transitional stage between recreational gaming and internet gaming disorder (IGD), characterized by impaired self-control and escalating engagement. Early identification of neural and behavioral vulnerabilities is crucial for understanding IGD development. Methods: Fifty-nine young adults (30 EOG, 29 controls) completed structural MRI and behavioral assessments, including the IGD Scale-Short Form (IGDS9-SF) and the Liebowitz Social Anxiety Scale (LSAS). Source-based morphometry (SBM) identified independent gray matter networks, while behavioral profiling and receptor-level mapping examined functional and neurochemical associations. Results: SBM revealed six gray matter components, with one network encompassing the right thalamus and precentral gyrus showing reduced loading in EOG, which negatively correlated with IGDS9-SF scores. Behavioral annotation linked this network to sensory integration, attention, and motor-executive control. Spatial overlap with serotonergic and dopaminergic receptor distributions indicated potential neurotransmitter involvement. Conclusion: Early alterations in sensory-motor networks and associated neurotransmitter systems may contribute to impaired self-regulation and heightened reward sensitivity, providing a multimodal framework for understanding the progression from excessive gaming to IGD. (© 2026 The Author(s). Brain and Behavior published by Wiley Periodicals LLC.) |
| References: | Trends Cogn Sci. 2011 Oct;15(10):483-506. (PMID: 21908230) Nat Commun. 2018 Aug 2;9(1):3028. (PMID: 30072715) Mol Psychiatry. 2022 Feb;27(2):1000-1009. (PMID: 34642454) Addict Biol. 2021 May;26(3):e12933. (PMID: 32602162) Addict Biol. 2021 Jul;26(4):e12997. (PMID: 33432718) Dialogues Clin Neurosci. 2020 Jun;22(2):113-126. (PMID: 32699511) Mod Probl Pharmacopsychiatry. 1987;22:141-73. (PMID: 2885745) Ann N Y Acad Sci. 2008;1129:35-46. (PMID: 18591467) Brain Res Bull. 2009 Feb 16;78(2-3):69-74. (PMID: 18950692) Eur J Nucl Med Mol Imaging. 2017 Jun;44(6):1025-1032. (PMID: 28197685) Neuroimage. 2004 Jul;22(3):1214-22. (PMID: 15219593) Neuropsychopharmacology. 2010 Jan;35(1):4-26. (PMID: 19812543) Hum Brain Mapp. 2009 Mar;30(3):711-24. (PMID: 18266214) J Psychiatr Res. 2014 Nov;58:7-11. (PMID: 25062755) Psychiatry Res. 2012 Aug-Sep;203(2-3):153-8. (PMID: 22892351) Front Psychiatry. 2018 May 08;9:166. (PMID: 29867599) Nat Neurosci. 2023 Jul;26(7):1281-1294. (PMID: 37336976) Trends Neurosci. 2017 Apr;40(4):219-236. (PMID: 28341235) J Neurophysiol. 2002 Oct;88(4):2047-57. (PMID: 12364527) Prog Neuropsychopharmacol Biol Psychiatry. 2019 Jan 10;88:1-10. (PMID: 29684536) Bioinformatics. 2019 Oct 1;35(19):3771-3778. (PMID: 30854545) Neural Comput. 1995 Nov;7(6):1129-59. (PMID: 7584893) Front Hum Neurosci. 2016 Jun 17;10:298. (PMID: 27378891) Psychoradiology. 2023 Oct 13;3:kkad016. (PMID: 38666118) J Behav Addict. 2020 Oct 02;9(3):598-605. (PMID: 33010145) Hum Brain Mapp. 2007 Nov;28(11):1251-66. (PMID: 17274023) J Cereb Blood Flow Metab. 2015 Jul;35(7):1199-205. (PMID: 25853904) Nat Neurosci. 2022 Nov;25(11):1569-1581. (PMID: 36303070) Neurosci Biobehav Rev. 2019 Sep;104:1-10. (PMID: 31247240) Neuroimage. 2012 Oct 15;63(1):447-59. (PMID: 22789740) J Behav Addict. 2016 Dec;5(4):683-690. (PMID: 27876422) Front Psychiatry. 2017 Sep 29;8:185. (PMID: 29033857) Front Psychol. 2023 Feb 22;14:1129769. (PMID: 36910812) Addict Biol. 2015 Mar;20(2):415-22. (PMID: 24612094) Addict Biol. 2019 Jan;24(1):100-109. (PMID: 29057579) Psychoradiology. 2022 Nov 29;2(4):207-215. (PMID: 38665272) J Psychiatr Res. 2012 Apr;46(4):507-15. (PMID: 22277302) Brain Struct Funct. 2022 Nov;227(8):2623-2632. (PMID: 36048283) Hum Brain Mapp. 2021 Feb 15;42(3):555-566. (PMID: 33079453) Neuroimage. 2016 Jun;133:313-320. (PMID: 26994829) Trends Cogn Sci. 2008 Jan;12(1):31-40. (PMID: 18069045) J Neurosci. 2017 Jan 4;37(1):120-128. (PMID: 28053035) Eur J Radiol. 2013 Aug;82(8):1308-12. (PMID: 23480966) Proc Natl Acad Sci U S A. 2011 Sep 13;108(37):15037-42. (PMID: 21402948) Handb Clin Neurol. 2018;150:355-387. (PMID: 29496153) Trends Neurosci. 1990 Jul;13(7):266-71. (PMID: 1695401) Front Psychiatry. 2022 Oct 25;13:1029344. (PMID: 37033880) Neurosci Biobehav Rev. 2021 Jan;120:222-235. (PMID: 33246018) Rev Esp Med Nucl Imagen Mol. 2013 Nov-Dec;32(6):350-6. (PMID: 23570700) Psychol Res Behav Manag. 2013 Nov 14;6:125-37. (PMID: 24255603) Neuropsychopharmacology. 2020 Aug;45(9):1498-1505. (PMID: 32259831) Neurosci Lett. 2010 Nov 19;485(2):138-42. (PMID: 20833229) J Behav Addict. 2017 Mar 1;6(1):42-50. (PMID: 28245666) Neuroscience. 2012 Jul 26;215:42-58. (PMID: 22542672) Proc Natl Acad Sci U S A. 2021 Jan 19;118(3):. (PMID: 33452137) Front Behav Neurosci. 2015 Mar 20;9:64. (PMID: 25852507) Biol Psychiatry Cogn Neurosci Neuroimaging. 2016 May;1(3):230-244. (PMID: 27347565) J Behav Addict. 2022 Nov 23;11(4):1068-1079. (PMID: 36422683) Hum Brain Mapp. 2021 Aug 15;42(12):4048-4058. (PMID: 34014611) Neuroimage. 2023 Jun;273:120095. (PMID: 37030412) PLoS One. 2011;6(6):e20708. (PMID: 21677775) AJNR Am J Neuroradiol. 2020 Jul;41(7):1293-1301. (PMID: 32616578) Prog Neuropsychopharmacol Biol Psychiatry. 2025 Jan 10;136:111159. (PMID: 39366518) Transl Psychiatry. 2021 May 26;11(1):320. (PMID: 34039948) Nat Neurosci. 2017 Dec;20(12):1669-1679. (PMID: 29184210) N Engl J Med. 2016 Jan 28;374(4):363-71. (PMID: 26816013) J Behav Addict. 2025 Jun 03;14(2):805-816. (PMID: 40459935) J Behav Addict. 2021 Oct 29;10(4):990-1004. (PMID: 34727087) J Neurosci. 2014 Nov 12;34(46):15340-6. (PMID: 25392501) Sci Rep. 2018 Mar 6;8(1):4074. (PMID: 29511260) |
| Grant Information: | 2022ZD0208500 China MOST2030 Brain Project; The China MOST2030 Brain Project |
| Contributed Indexing: | Keywords: gray matter networks; internet gaming disorder; serotonin–dopamine coupling; source‐based morphometry |
| Entry Date(s): | Date Created: 20261009 Date Completed: 20261009 Latest Revision: 20261011 |
| Update Code: | 20261011 |
| PubMed Central ID: | PMC13650394 |
| DOI: | 10.1002/brb3.71823 |
| PMID: | 42851004 |
| Database: | MEDLINE |
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| Items | – Name: Title Label: Title Group: Ti Data: Disrupted Sensory-Motor Network Integrity in Excessive Online Gaming: Insight From Multimodal Morphometric Mapping. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Abudouxukuer+Z%22">Abudouxukuer Z</searchLink>; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Afiadenyo+M%22">Afiadenyo M</searchLink>; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Becker+B%22">Becker B</searchLink>; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.; Department of Psychology, The University of Hong Kong, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Ferraro+S%22">Ferraro S</searchLink>; China-Cuba Belt and Road Joint Laboratory on Neurotechnology and Brain-Apparatus Communication, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Agoalikum+E%22">Agoalikum E</searchLink>; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China.; Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Angmorterh+SK%22">Angmorterh SK</searchLink>; Department of Medical Imaging School of Allied Health Sciences, University of Health and Allied Sciences, Ho, Ghana.<br /><searchLink fieldCode="AU" term="%22Djankpa+FT%22">Djankpa FT</searchLink>; Department of Physiology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.<br /><searchLink fieldCode="AU" term="%22Adams+L%22">Adams L</searchLink>; Department of Microbiology and Immunology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.<br /><searchLink fieldCode="AU" term="%22Biswal+BB%22">Biswal BB</searchLink>; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA.<br /><searchLink fieldCode="AU" term="%22Klugah-Brown+B%22">Klugah-Brown B</searchLink>; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.; China-Cuba Belt and Road Joint Laboratory on Neurotechnology and Brain-Apparatus Communication, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101570837%22">Brain and behavior</searchLink> [Brain Behav] 2026 Oct; Vol. 16 (10), pp. e71823. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+%26+Sons%22">John Wiley & Sons </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101570837 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2162-3279 (Electronic) <i>NLM ISO Abbreviation: </i>Brain Behav <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Original Publication</i>: Hoboken, NJ : John Wiley & Sons – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Internet+Addiction+Disorder%22">Internet Addiction Disorder*</searchLink>/<searchLink fieldCode="MM" term="%22Internet+Addiction+Disorder+physiopathology%22">physiopathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Internet+Addiction+Disorder%22">Internet Addiction Disorder*</searchLink>/<searchLink fieldCode="MM" term="%22Internet+Addiction+Disorder+diagnostic+imaging%22">diagnostic imaging</searchLink> <br /><searchLink fieldCode="MM" term="%22Gray+Matter%22">Gray Matter*</searchLink>/<searchLink fieldCode="MM" term="%22Gray+Matter+diagnostic+imaging%22">diagnostic imaging</searchLink> <br /><searchLink fieldCode="MM" term="%22Gray+Matter%22">Gray Matter*</searchLink>/<searchLink fieldCode="MM" term="%22Gray+Matter+physiopathology%22">physiopathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Brain%22">Brain*</searchLink>/<searchLink fieldCode="MM" term="%22Brain+physiopathology%22">physiopathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Brain%22">Brain*</searchLink>/<searchLink fieldCode="MM" term="%22Brain+diagnostic+imaging%22">diagnostic imaging</searchLink> <br /><searchLink fieldCode="MM" term="%22Nerve+Net%22">Nerve Net*</searchLink>/<searchLink fieldCode="MM" term="%22Nerve+Net+physiopathology%22">physiopathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Nerve+Net%22">Nerve Net*</searchLink>/<searchLink fieldCode="MM" term="%22Nerve+Net+diagnostic+imaging%22">diagnostic imaging</searchLink> <br /><searchLink fieldCode="MM" term="%22Video+Games%22">Video Games*</searchLink><br /><searchLink fieldCode="MH" term="%22Brain+Mapping%22">Brain Mapping</searchLink>/<searchLink fieldCode="MH" term="%22Brain+Mapping+methods%22">methods</searchLink> ; <searchLink fieldCode="MH" term="%22Neural+Pathways%22">Neural Pathways</searchLink>/<searchLink fieldCode="MH" term="%22Neural+Pathways+physiopathology%22">physiopathology</searchLink> ; <searchLink fieldCode="MH" term="%22Thalamus%22">Thalamus</searchLink>/<searchLink fieldCode="MH" term="%22Thalamus+diagnostic+imaging%22">diagnostic imaging</searchLink> ; <searchLink fieldCode="MH" term="%22Thalamus%22">Thalamus</searchLink>/<searchLink fieldCode="MH" term="%22Thalamus+physiopathology%22">physiopathology</searchLink> ; <searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Magnetic+Resonance+Imaging%22">Magnetic Resonance Imaging</searchLink> ; <searchLink fieldCode="MH" term="%22Male%22">Male</searchLink> ; <searchLink fieldCode="MH" term="%22Female%22">Female</searchLink> ; <searchLink fieldCode="MH" term="%22Young+Adult%22">Young Adult</searchLink> ; <searchLink fieldCode="MH" term="%22Adult%22">Adult</searchLink> ; <searchLink fieldCode="MH" term="%22Digital+Media%22">Digital Media</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Introduction: Excessive online gaming (EOG) is a transitional stage between recreational gaming and internet gaming disorder (IGD), characterized by impaired self-control and escalating engagement. Early identification of neural and behavioral vulnerabilities is crucial for understanding IGD development.<br />Methods: Fifty-nine young adults (30 EOG, 29 controls) completed structural MRI and behavioral assessments, including the IGD Scale-Short Form (IGDS9-SF) and the Liebowitz Social Anxiety Scale (LSAS). Source-based morphometry (SBM) identified independent gray matter networks, while behavioral profiling and receptor-level mapping examined functional and neurochemical associations.<br />Results: SBM revealed six gray matter components, with one network encompassing the right thalamus and precentral gyrus showing reduced loading in EOG, which negatively correlated with IGDS9-SF scores. Behavioral annotation linked this network to sensory integration, attention, and motor-executive control. Spatial overlap with serotonergic and dopaminergic receptor distributions indicated potential neurotransmitter involvement.<br />Conclusion: Early alterations in sensory-motor networks and associated neurotransmitter systems may contribute to impaired self-regulation and heightened reward sensitivity, providing a multimodal framework for understanding the progression from excessive gaming to IGD.<br /> (© 2026 The Author(s). Brain and Behavior published by Wiley Periodicals LLC.) – Name: Ref Label: References Group: RefInfo Data: Trends Cogn Sci. 2011 Oct;15(10):483-506. (PMID: <searchLink fieldCode="PM" term="%2221908230%22">21908230)</searchLink><br />Nat Commun. 2018 Aug 2;9(1):3028. (PMID: <searchLink fieldCode="PM" term="%2230072715%22">30072715)</searchLink><br />Mol Psychiatry. 2022 Feb;27(2):1000-1009. (PMID: <searchLink fieldCode="PM" term="%2234642454%22">34642454)</searchLink><br />Addict Biol. 2021 May;26(3):e12933. 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(PMID: <searchLink fieldCode="PM" term="%2229511260%22">29511260)</searchLink> – Name: GrantInfo Label: Grant Information Group: Grant Data: 2022ZD0208500 China MOST2030 Brain Project; The China MOST2030 Brain Project – Name: SubjectMinor Label: Contributed Indexing Group: Data: <i>Keywords: </i>gray matter networks; internet gaming disorder; serotonin–dopamine coupling; source‐based morphometry – Name: DateEntry Label: Entry Date(s) Group: Date Data: <i>Date Created: </i>20261009 <i>Date Completed: </i>20261009 <i>Latest Revision: </i>20261011 – Name: DateUpdate Label: Update Code Group: Date Data: 20261011 – Name: PubmedCentralID Label: PubMed Central ID Group: ID Data: PMC13650394 – Name: DOI Label: DOI Group: ID Data: 10.1002/brb3.71823 – Name: AN Label: PMID Group: ID Data: 42851004 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/brb3.71823 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e71823 Subjects: – SubjectFull: Brain Mapping methods Type: general – SubjectFull: Neural Pathways physiopathology Type: general – SubjectFull: Thalamus diagnostic imaging Type: general – SubjectFull: Thalamus physiopathology Type: general – SubjectFull: Humans Type: general – SubjectFull: Magnetic Resonance Imaging Type: general – SubjectFull: Male Type: general – SubjectFull: Female Type: general – SubjectFull: Young Adult Type: general – SubjectFull: Adult Type: general – SubjectFull: Digital Media Type: general – SubjectFull: Internet Addiction Disorder physiopathology Type: general – SubjectFull: Internet Addiction Disorder diagnostic imaging Type: general – SubjectFull: Gray Matter diagnostic imaging Type: general – SubjectFull: Gray Matter physiopathology Type: general – SubjectFull: Brain physiopathology Type: general – SubjectFull: Brain diagnostic imaging Type: general – SubjectFull: Nerve Net physiopathology Type: general – SubjectFull: Nerve Net diagnostic imaging Type: general – SubjectFull: Video Games Type: general Titles: – TitleFull: Disrupted Sensory-Motor Network Integrity in Excessive Online Gaming: Insight From Multimodal Morphometric Mapping. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abudouxukuer Z – PersonEntity: Name: NameFull: Afiadenyo M – PersonEntity: Name: NameFull: Yang Z – PersonEntity: Name: NameFull: Becker B – PersonEntity: Name: NameFull: Ferraro S – PersonEntity: Name: NameFull: Agoalikum E – PersonEntity: Name: NameFull: Angmorterh SK – PersonEntity: Name: NameFull: Djankpa FT – PersonEntity: Name: NameFull: Adams L – PersonEntity: Name: NameFull: Biswal BB – PersonEntity: Name: NameFull: Klugah-Brown B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2026 Oct Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2162-3279 Numbering: – Type: volume Value: 16 – Type: issue Value: 10 Titles: – TitleFull: Brain and behavior Type: main |
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