• Participantscompletedaforwarddigitspantask(Gathercole&Adams,1993).
• Participant’sDigitSpanScorewasmeasuredastheproportionofsequencescorrectlyrecalled.
• AbivariatecorrelationshowedthatDigitSpanScorewassigniGicantlyandpositivelycorrelatedwithage.
• ThefollowingROIswerecreatedbyaveragingcorticalthicknessvaluesforareasofinterest:
• ACC:left/rightrostralanteriorcingulatecortexandcaudalanteriorcingulatecortex
• SPC:left/rightsuperiorparietalcortex• SFC:left/rightsuperiorfrontalcortex• MFC:left/rightrostralmiddlefrontalcortexandcaudalmiddlefrontalcortex
• Associationsbetweencorticalthicknessanddigitspanperformancewereexaminednext.• SeparatelinearregressionswererunenteringeachROIasthepredictorandDigitSpanScoreasthedependentvariable.
• Covariates:Totalgraymattervolumeandgender.• CorticalthicknessineachROIwasasigniGicantpredictorofDigitSpanScore,suchthatthosewithathinnercortexinthespeciGiedareasperformedbetterthanthosewithathickercortex.
• Associationsbetweenageandcorticalthicknesswereexplored.• SeparatelinearregressionswererunenteringageasthepredictorandeachROIasthedependentvariable.
• Covariates:Totalgraymattervolumeandgender.• AgewasasigniGicantpredictorofACCvolume,SPCvolume,SFCvolume,butnotMFCvolume.
Methods
Introduction
Relationsbetweenworkingmemoryandcorticalthicknessinfrontalandparietalregionsinearlychildhood
MorganBotdorf&TracyRigginsUniversityofMaryland,CollegePark
Participants• 181childrenaged4-8years(M=6.27,SD=1.49years,92females)completedthestudy.
• Participantswerepartofalargerstudyexaminingthedevelopmentofepisodicmemoryinearlychildhood.
MRIData• T1-weightedhighresolution(1mm3)anatomicalimageswereacquiredfromaSiemens3Tscannerwitha32-channelcoilattheMarylandNeuroimagingCenterusingastandardstructuralMRIscansequence.
• Freesurferv5.1(Fischl,2012)wasusedtocalculatecorticalthicknessvolumesandtotalgraymattervolume.TheDesikan-Killianyatlaswasusedforcorticalparcellation(Desikanetal.,2006).
• BoundarylinesbetweenCSF,graymatter,andwhitematterwerevisuallyinspectedtoensureaccuracy.Manualeditsweremadewhennecessary.
Methods:MRIData
Discussion
References
• Theseresultssuggestthateveninearlychildhood,thereareassociationsbetweenWMabilitiesandthicknessincorticalareasknowntosupportWMinadults.
• AgewasnegativelyassociatedwiththethicknessofACC,SPC,SFC,butnotMFC.
• ThicknessineachROIwasnegativelyassociatedwithWMasmeasuredbyDigitSpan.
• ConsistentwithKharitonova’sGindings(2013),ourresultssupportarelationbetweenSPCandWM,butdidnotsupportamediation.However,ourresultsdidsuggestthatACCisnotonlyassociatedwithWM,butmediatestherelationbetweenageandWM.
• FutureresearchshouldfocusoninvestigatinglongitudinalchangesinthesecorticalareasastheyrelatetoWMtoincreasethepresentunderstandingoftherelationbetweencorticalthicknessandimprovementsinWMduringchildhood.
• Workingmemory(WM)changesrapidlyinearlychildhood,butitremainsunclearhowcorticalregionsthatsupporttheseabilitiesinadultsrelatetoWMchangesinchildren.
• Corticalthicknessmaybeausefulmeasureininvestigatingthisassociation,asage-relatedchangesincorticalthicknessmaysupportimprovementsincognitiveabilitiesasaresultofsynapticpruningandincreasedmyelination(Sowelletal.,2004).
• However,onlylimitedresearchhasinvestigatedhowcorticalthicknessrelatestoWMabilitiesinchildhood.Forexample,Kharitonovaandcolleagues(2013)foundthatthicknessinsuperiorparietalcortex(SPC),butnotanteriorcingulatecortex(ACC),relatedtoWM.However,SPCdidnotmediatetherelationbetweenageandWM.
• ThepresentstudyextendsthisresearchbyinvestigatingtherelationbetweenperformanceonadigitspantaskandcorticalthicknessofspeciDicareasrelatedtoWM:ACC,SPC,superiorfrontalcortex(SFC),andmiddlefrontalcortex(MFC).
1. Desikan,R.,Segonne,F.,Fischl,B.,Quinn,B.,Dickerson,B.,Blacker,D…Killiany,R.(2006).AnautomatedlabelingsystemforsubdividingthehumancerebralcortexonMRIscansintogyralbasedregionsofinterest.Neuroimage,31(3),968-80.
2. Fischl,B.(2012).FreeSurfer.NeuroImage,62,774–781.doi:10.1016/j.neuroimage.2012.01.021.
3. Gathercole,S.,&Adams,A.(1993).Phonologicalworkingmemoryinveryyoungchildren.DevelopmentalPsychology,29(4),770-78.
4. Hayes,(2013).Introductiontomediation,moderation,andconditionprocessanalysis:Aregression-basedapproach.NewYork:GuilfordPress.
5. Kharitonova,M.,Martin,R.,Gabrieli,J.,&Sheridan,M.(2013).Corticalgray-matterthinningisassociatedwithage-relatedimprovementsonexecutivefunctiontasks.DevelopmentalCognitiveNeuroscience,6,61-71.
6. Sowell,E.R.,Thompson,P.M.,Leonard,C.M.,Welcome,S.E.,&Kan,E.,Toga,A.W.(2004).Longitudinalmappingofcorticalthicknessandbraingrowthinnormalchildren.TheJournalofNeuroscience,24(38),8223-31.
Forquestionsorcomments,[email protected]
Results:Age-CorticalThicknessAssociations
• AmediationmodelwastestedusingHayes’SPSSProcessmacro(Hayes,2013).Separatemodelswererunwithageasthepredictor,eachROIasthemediator,andDigitSpanScoreasthedependentvariable.SigniGicantmediationwasobservedforthemodelwithACCasthemediator.SpeciGically,therewasasigniGicantindirecteffectofageonDigitSpanScorethroughACCthickness,b=0.008,SE=0.01,CI[0.0019,0.0191].
Age
ROIACCSPCSFCMFC
DigitSpanPerformance
Results:MediationAnalysis
Results:CorticalThickness-WMAssociations
ACC
SFC
AcknowledgementsWewouldliketoacknowledgesupportfromtheNationalScienceFoundationandtheNationalInstitutesofHealth(GrantnumberRO1HD079518-04).
MFC
0
0.2
0.4
0.6
0.8
1
1.2
3 4 5 6 7 8 9 10
DigitSpanScore
Age(yrs)
r(181)=.57,p<.001
Results:Age-DigitSpanAssociations
SPC
ACC
SPC SFCb=-0.05,SE=0.01,p<0.001
b=-0.02,SE=0.008,p=0.008 b=-0.02,SE=0.009,p=0.03
ACCThickness
SPCThickness
SFCThickness
Age
Age
Age
ACC
b=-0.27,SE=0.06,p<0.01
ACCThickness
SFC
b=-0.22,SE=0.07,p=<0.01
SFCThickness
b=-0.24,SE=0.08,pr=-0.21,p=0.004
SPCThickness
SPC MFC
b=-0.26,SE=0.07,pr=-0.17,p=0.03
MFCThickness
DigitSpanScore
DigitSpanScore
DigitSpanScore
DigitSpanScore
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