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Myelin Integrity Predicts Activities of Daily Living in Alzheimer’s Disease Jessica Man, Tanja Su, Katie Lehman 1 , Steve Correia 1 , Stephen Salloway 1 , Sean Deoni 2 1 Department of Psychiatry and Human Behavior, Brown Medical School, 2 Department of Engineering, Brown University Hypothesis Objectives Background • To examine the myelin integrity of cerebral white matter and its relationship to activities of daily living (ADLs) in patients with Alzheimer’s Disease. Alzheimer’s Disease (AD) • Debilitating neurodegenerative disease characterized by progressive decline in memory and other cognitive domains leading to impairment in everyday functioning 1 . • Characterized pathologically in grey matter (GM) by extraneuronal amyloid-beta42 (Aß42) plaques and intranueronal hyperphosporylated tau neurofibrillary tangles 2 . White matter (WM) pathology includes axon loss, gliosis, and reduced myelin integrity 3 . • Aß42 is toxic to oligodendrocytes 3 providing a possible mechanism for myelin loss. Mouse models of AD show early myelin changes 4 . • Could myelin loss be an early marker of AD? Myelin Imaging • Multi-component Driven Equilibrium Single Pulse Observation of T1 and T2 (mcDESPOT) is a new MRI technique for measuring myelin integrity (myelin water content) in cerebral white matter 5 . Reported here is the T1 component of mcDESPOT. • Higher T1 values are linked to increased myelin water content (decreased myelin integrity). Disability Assessment for Dementia (DAD) • Informant-based interview-format assessment of instrumental and basical Activities of Daily Living (ADLs) in patients with AD 1 . • Measures actual ADLs performance, not estimated capacity, over previous 2 weeks in 3 aspected for each activity: initiation, planning & organization, effectiveness. Higher scores indicate better performance. • Prior studies link impairment in frontal brain systems to decline in executive and ADLs functioning 6 . • Myelin integrity would decrease across the spectrum of cognitively normal elderly to moderate-to-severe AD, as evidence by declining T1 values. • In patients with presumed AD pathology, functional status (i.e., DAD score) would be related to decreased myelin integrity in anterior white matter regions, but not posterior regions. Participants & Procedures • 16 patients, male and female, with normal cognitive status, MCI, mild AD, and moderate- to-severe AD. • Participants underwent MRI with mcDESPOT and completed a battery of neuropsychological tests, including Letter-Number Sequencing and Stroop Color-Word to measure executive functions and the DAD. Figure 1: ROIs in (A) genu of CC, (B) splenium of CC, (C) anterior WM, and (D) posterior WM. Image Analysis Regions of Interest (ROIs) • Square ROIs placed in splenium and genu of corpus callosum and bilaterally in anterior and posterior WM on coronal T1 maps. • 5x5 or 3x3 voxel ROIs on one slice of splenium and genu; 3x3 voxel ROIs on 3 contiguous slices of anterior and posterior WM (See Figure 1). Summary of ROIs for Statistical Analysis • Four summary white matter region variables were calculated showing the mean T1 values for the combined ROIs in each region as follows: genu, splenium, and anterior and posterior WM (left-right combined). Results Demographics • Exploratory group comparisons using ANOVA showed no significant effect of age (p = 0.082) or education (p = 0.264). Gender was not statistically analyzed due to small group size (See Table 1). Table 1: Demographics (mean + SD) Control MCI Mild AD M-to-S AD (n = 4) (n = 5) (n = 3) (n = 4) Age 72.0 + 5.6 73.4 + 9.1 81.3 + 2.1 83.0 + 5.0 Education 14.0 + 2.3 15.2 + 4.6 10.0 + 3.5 12.0 + 3.3 Female 4 2 3 2 Male 0 3 0 2 Table 2: DAD and Cognitive Tests (mean + SD) Control MCI Mild AD M-to-S AD (n = 4) (n = 5) (n = 3) (n = 4) DAD 39.8 + 0.5 37.6 + 2.3 28.7 + 5.8 19.0 + 1.2 MMSE 28.5 + 2.4 26.4 + 3.8 15.0 + 7.2 13.8 + 5.5 EXEC* 0.25 + 0.6 -1.03 + 0.9 -2.06 + 0.9 -2.04 + 0.7 *EXEC refers to mean demographically corrected z scores for L-N Seq and Stroop Color-Word. DAD and Cognitive Tests • ANOVA showed main effects of DAD, MMSE, and EXEC (all p > 0.005) (See Table 2). Table 3: T1 values (ms) by region (mean + SD) Control MCI Mild AD M-to-S AD (n = 4) (n = 5) (n = 3) (n = 4) Genu 1010.8 + 14.7 1101.3 + 186. 1018.1 + 21.1 1196.2 + 238. Ant. WM 1154.7 + 3.24 1169.5 + 63.4 1196.3 + 56.2 1228.3 + 68.9 Splenium 1055.5 + 45.0 1017.9 + 31.3 1049.2 + 48.8 1095.1 + 65.4 Post. WM 1286.8 + 11.3 1212.9 + 19.8 1290.0 + 38.7 1306.6 + 63.1 Myelin Integrity (T1 values) • ANOVA showed main effect of posterior WM (p = 0.012) (See Table 3). Figure 2: Bivariate correlations between DAD scores & T1 values of (A) genu of CC, (B) splenium of CC, (C) anterior WM, and (D) posterior WM. Scatter plot is not corrected for age. Table 4: Partial correlation between regional T1 values and DAD controlling for age r p Genu -0.434 0.18 Ant. WM -0.208 0.54 Splenium -0.676 0.02 Post. WM -0.676 0.02 Patient groups only. Correlations • DAD correlated significantly with splenium of CC and posterior WM, but not with genu of CC and anterior WM (See Table 3). • When executive measures were included as an additional control variable in partial correlation, the association between DAD and posterior WM remained significant (p = 0.046), but its association with splenium became non- significant (p = 0.059). • These results provide evidence of an association between posterior myelin integrity in AD and ADLs. • This evidence extends our previous finding of an association between myelin integrity and cognitive impairment in the same sample (data not shown). • This result suggests that the posterior progression of AD pathology alters the association between age-related anterior WM changes and functional capacity 6 . That is, it raises the possibility that posterior myelin degradation impacts the upstream association between frontal circuits and ADLs. • Our results tentatively suggest that the association between posterior myelin (as measured by T1 values) and function (DAD) in patients with presumed AD pathology is not fully accounted for by executive function. • These preliminary results are limited by the small sample size and the heterogeneity of clinical dementia severity. • Analyses are currently underway to determine whether decreased myelin integrity contributes to ADLs failure beyond other neuroimaging markers of disease severity such as cortical thickness and hippocampal volume. Discussion [1] Gauthier, S., Gelinas, I., & Gauthier L. International Psychogeriatrics 9, 163-5. (1997). [2] Pauwels, E., Volterrani, D., Mariani, G. Drug News Perspective 22, 151-60. (2009). [3] Sjobeck, M., Haglund, M., Englund, E. Internal Journal of Geriatric Psychiatry 20, 919-26. (2005). [4] Desai, M. et al. Glia 57, 54-65. (2009). [5] Deoni, S. et al. Magnetic Resonance in Medicine 60, 1372-87. (2008). [6] Cahn-Weiner, D., Boyle, P., Malloy, P. Applied Neuropsychology 9, 187-91. (2002). References This study is supported by the Alzheimer’s Association (NIRG-09-131008) and Providence, RI’s Department of Veteran’s Affairs.

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Page 1: Myelin Integrity Predicts Activities of Daily Living in ... · Myelin Integrity Predicts Activities of Daily Living in Alzheimer’s Disease Jessica Man, Tanja Su, Katie Lehman1,

Myelin Integrity Predicts Activities of Daily Living in Alzheimer’s DiseaseJessica Man, Tanja Su, Katie Lehman1, Steve Correia1, Stephen Salloway1, Sean Deoni2

1Department of Psychiatry and Human Behavior, Brown Medical School, 2Department of Engineering, Brown University

Hypothesis

Objectives

Background

• Toexaminethemyelinintegrityofcerebralwhitematteranditsrelationshiptoactivitiesofdailyliving(ADLs)inpatientswithAlzheimer’sDisease.

Alzheimer’s Disease (AD)• Debilitatingneurodegenerativediseasecharacterizedbyprogressivedeclineinmemoryandothercognitivedomainsleadingtoimpairmentineverydayfunctioning1.

• Characterizedpathologicallyingreymatter(GM)byextraneuronalamyloid-beta42(Aß42)plaquesandintranueronalhyperphosporylatedtauneurofibrillarytangles2.Whitematter(WM)pathologyincludesaxonloss,gliosis,andreducedmyelinintegrity3.

• Aß42istoxictooligodendrocytes3providingapossiblemechanismformyelinloss.MousemodelsofADshowearlymyelinchanges4.

• CouldmyelinlossbeanearlymarkerofAD?Myelin Imaging• Multi-componentDrivenEquilibriumSinglePulseObservationofT1andT2(mcDESPOT)isanewMRItechniqueformeasuringmyelinintegrity(myelinwatercontent)incerebralwhitematter5.ReportedhereistheT1componentofmcDESPOT.

• HigherT1valuesarelinkedtoincreasedmyelinwatercontent(decreasedmyelinintegrity).

Disability Assessment for Dementia (DAD)• Informant-basedinterview-formatassessmentofinstrumentalandbasicalActivitiesofDailyLiving(ADLs)inpatientswithAD1.

• MeasuresactualADLsperformance,notestimatedcapacity,overprevious2weeksin3aspectedforeachactivity:initiation,planning&organization,effectiveness.Higherscoresindicatebetterperformance.

• PriorstudieslinkimpairmentinfrontalbrainsystemstodeclineinexecutiveandADLsfunctioning6.

• Myelinintegritywoulddecreaseacrossthespectrumofcognitivelynormalelderlytomoderate-to-severeAD,asevidencebydecliningT1values.

• InpatientswithpresumedADpathology,functionalstatus(i.e.,DADscore)wouldberelatedtodecreasedmyelinintegrityinanteriorwhitematterregions,butnotposteriorregions.

Participants&Procedures

• 16patients,maleandfemale,withnormalcognitivestatus,MCI,mildAD,andmoderate-to-severeAD.

• ParticipantsunderwentMRIwithmcDESPOTandcompletedabatteryofneuropsychologicaltests,includingLetter-NumberSequencingandStroopColor-WordtomeasureexecutivefunctionsandtheDAD.

Figure 1:ROIsin (A)genuofCC,(B)spleniumofCC,(C)anteriorWM,and(D)posteriorWM.

ImageAnalysis

Regions of Interest (ROIs)• SquareROIsplacedinspleniumandgenuofcorpuscallosumandbilaterallyinanteriorandposteriorWMoncoronalT1maps.

• 5x5or3x3voxelROIsononesliceofspleniumandgenu;3x3voxelROIson3contiguousslicesofanteriorandposteriorWM (SeeFigure1).

Summary of ROIs for Statistical Analysis• FoursummarywhitematterregionvariableswerecalculatedshowingthemeanT1valuesforthecombinedROIsineachregionasfollows:genu,splenium,andanteriorandposteriorWM(left-rightcombined).

Results

Demographics• ExploratorygroupcomparisonsusingANOVAshowednosignificanteffectofage(p=0.082)oreducation(p=0.264).Genderwasnotstatisticallyanalyzedduetosmallgroupsize(SeeTable1).

Table 1:Demographics(mean+SD)Control MCI MildAD M-to-SAD(n=4) (n=5) (n=3) (n=4)

Age 72.0+5.6 73.4+9.1 81.3+2.1 83.0+5.0

Education 14.0+2.3 15.2+4.6 10.0+3.5 12.0+3.3

Female 4 2 3 2

Male 0 3 0 2

Table 2:DADandCognitiveTests(mean+SD)Control MCI MildAD M-to-SAD(n=4) (n=5) (n=3) (n=4)

DAD 39.8+0.5 37.6+2.3 28.7+5.8 19.0+1.2

MMSE 28.5+2.4 26.4+3.8 15.0+7.2 13.8+5.5

EXEC* 0.25+0.6 -1.03+0.9 -2.06+0.9 -2.04+0.7

*EXECreferstomeandemographicallycorrectedzscoresforL-NSeqandStroopColor-Word.

DAD and Cognitive Tests• ANOVAshowedmaineffectsofDAD,MMSE,andEXEC(allp>0.005)(SeeTable2).

Table 3:T1values(ms)byregion(mean+SD)Control MCI MildAD M-to-SAD(n=4) (n=5) (n=3) (n=4)

Genu 1010.8+14.7 1101.3+186. 1018.1+21.1 1196.2+238.

Ant.WM 1154.7+3.24 1169.5+63.4 1196.3+56.2 1228.3+68.9

Splenium 1055.5+45.0 1017.9+31.3 1049.2+48.8 1095.1+65.4

Post.WM 1286.8+11.3 1212.9+19.8 1290.0+38.7 1306.6+63.1

Myelin Integrity (T1 values)• ANOVAshowedmaineffectofposteriorWM(p=0.012)(SeeTable3).

Figure 2:BivariatecorrelationsbetweenDADscores&T1valuesof (A)genuofCC,(B)spleniumofCC,(C)anteriorWM,and(D)posteriorWM.Scatterplotisnotcorrectedforage.

Table 4:PartialcorrelationbetweenregionalT1valuesandDADcontrollingforage

r p

Genu -0.434 0.18

Ant.WM -0.208 0.54

Splenium -0.676 0.02

Post.WM -0.676 0.02

Patientgroupsonly.

Correlations• DADcorrelatedsignificantlywithspleniumofCCandposteriorWM,butnotwithgenuofCCandanteriorWM(SeeTable3).

• Whenexecutivemeasureswereincludedasanadditionalcontrolvariableinpartialcorrelation,theassociationbetweenDADandposteriorWMremainedsignificant(p=0.046),butitsassociationwithspleniumbecamenon-significant(p=0.059).

• TheseresultsprovideevidenceofanassociationbetweenposteriormyelinintegrityinADandADLs.

• Thisevidenceextendsourpreviousfindingofanassociationbetweenmyelinintegrityandcognitiveimpairmentinthesamesample(datanotshown).

• ThisresultsuggeststhattheposteriorprogressionofADpathologyalterstheassociationbetweenage-relatedanteriorWMchangesandfunctionalcapacity6.Thatis,itraisesthepossibilitythatposteriormyelindegradationimpactstheupstreamassociationbetweenfrontalcircuitsandADLs.

• Ourresultstentativelysuggestthattheassociationbetweenposteriormyelin(asmeasuredbyT1values)andfunction(DAD)inpatientswithpresumedADpathologyisnotfullyaccountedforbyexecutivefunction.

• Thesepreliminaryresultsarelimitedbythesmallsamplesizeandtheheterogeneityofclinicaldementiaseverity.

• AnalysesarecurrentlyunderwaytodeterminewhetherdecreasedmyelinintegritycontributestoADLsfailurebeyondotherneuroimagingmarkersofdiseaseseveritysuchascorticalthicknessandhippocampalvolume.

Discussion

[1]Gauthier,S.,Gelinas,I.,&GauthierL.International Psychogeriatrics9,163-5.(1997).[2]Pauwels,E.,Volterrani,D.,Mariani,G.Drug News Perspective22,151-60.(2009).[3]Sjobeck,M.,Haglund,M.,Englund,E.Internal Journal of Geriatric Psychiatry20,919-26. (2005).[4]Desai,M.etal.Glia57,54-65.(2009).[5]Deoni,S.etal.Magnetic Resonance in Medicine60,1372-87.(2008).[6]Cahn-Weiner,D.,Boyle,P.,Malloy,P.Applied Neuropsychology9,187-91.(2002).

References

ThisstudyissupportedbytheAlzheimer’sAssociation(NIRG-09-131008)andProvidence,RI’sDepartmentofVeteran’sAffairs.