Boxer, Adam L.

AbstractBackgroundFrontotemporal dementia spectrum disorders (FTD) display complex neuropathological substrates and poor clinicopathological correlations, which hinders therapy development. Plasma P‐tau217 is an emerging tool to screen for Alzheimer’s disease (AD) pathology and may have diagnostic value in FTD.MethodPlasma P‐tau217 was measured cross‐sectionally by electrochemiluminescence in FTD patients referred to ALLFTD from ARTFL (n = 628, 45.7% female, median age 66 ± 12 years). P‐tau217 differences by baseline phenotype, disease severity and genotype were determined with non‐parametric tests and general linear models. Associations between P‐tau217 and measures of disease severity and neuropsychological performance were determined with linear regressions corrected for age, sex, phenotype and APOE.ResultThe sample included 33% behavioral variant FTD, 23.6% primary progressive aphasia (PPA), 28.5% atypical parkinsonism, 1.6% amnestic dementia (AmDem), 2.8% FTD/motoneuron disease, 3% mild cognitive/behavioral impairment and 7.5% healthy controls. Only 1.6% carried FTD‐causing mutations. P‐tau217 was not related to age (r = 0.034, 95%CI ‐0.03 – 0.12, p = 0.4). Compared to controls (0.18 ± 0.07 pg/mL), P‐tau217 was elevated only in AmDem (0.58 ± 0.9 pg/mL, p = 0.001) and logopenic PPA (lvPPA, 0.71 ± 0.62 pg/mL p < 0.001). P‐tau217 ≥ 0.42 pg/mL effectively discriminated AmDem and lvPPA from all other phenotypes (AUC 0.87, 95%CI 0.77 – 0.96, p = 0.001, 77% sensitivity, 92% specificity). AmDem (60%) and lvPPA (91.7%) had the highest prevalence of high (≥ 0.42 pg/mL) P‐tau217, and the highest prevalence of APOE4 (AmDem 40%, lvPPA 63.6%). APOE4 carriers (0.23 ± 0.22 pg/mL) had higher P‐tau217, than non‐carriers (0.19 ± 0.09 pg/mL), regardless of phenotype (APOE effect p = .002, APOE x phenotype, p = 0.44). P‐tau217 was associated with worse clinical severity, mood, memory and executive function, but not with worse motor symptoms or social cognition.ConclusionWhen FTD is suspected, high plasma P‐tau217 is strongly associated with amnestic dementia and logopenic PPA phenotypes. Pending completion of ongoing neuropathological, CSF and molecular neuroimaging analyses, the data support the use of plasma P‐tau217 to identify atypical AD as a cause or AD as a co‐pathology contributing to FTD clinical presentation.

AbstractBackgroundClinical trials for tauopathies require novel biomarkers for disease detection and monitoring. One previous study found functional connectivity (FC) alterations in presymptomatic (preSx) MAPT mutation carriers (Whitwell et al., 2011), yet studies have not examined FC networks along the MAPT disease continuum. We hypothesized that both symptomatic (Sx) and preSx MAPT mutation carriers would show FC alterations compared to healthy controls (HC).MethodLeveraging task‐free fMRI data from the UCSF Memory and Aging Center and the ARTFL/LEFFTDS Consortia (Boeve et al., 2019), we compared 14 Sx and 33 preSx to 80 HC to characterize their FC profiles. Using a seed‐based approach, we studied FC within networks associated with different MAPT clinical syndromes (i.e., salience network [SN] for behavioral variant frontotemporal dementia, default mode network [DMN] for Alzheimer’s‐like amnestic syndrome, corticobasal syndrome [CBS] and progressive supranuclear palsy [PSP] networks). Complementing the seed‐based approach, we next calculated whole‐brain intra‐/inter‐network FC matrices for 14 networks (Brown et al., 2019), and applied K‐means clustering to assess whether preSx displayed heterogeneous connectivity profiles. ComBat was applied to harmonize multi‐site imaging data (Fortin et al., 2017, 2018). Thresholding was set at a joint height and extent threshold of p<0.05 (uncorrected) with age, sex, education and handedness as nuisance covariates.ResultCompared to HC, Sx featured disrupted FC within key hubs of all four networks, and regions of cerebellar and pontine hyperconnectivity within CBS and PSP networks. As seen in Sx vs. HC, preSx had similar anatomical patterns of SN/CBS network hypoconnectivity and CBS/PSP network hyperconnectivity vs. HC. In contrast to Sx, who had DMN disruption, preSx showed DMN hyperconnectivity vs. HC.Whole‐brain analyses revealed that Sx had disrupted intra‐/inter‐network FC in networks involving the insula/anterior temporal lobe. Clustering analysis identified two preSx subgroups. Compared to HC, preSx1 principally had disrupted FC across networks including those disrupted in Sx, whereas preSx2 mainly demonstrated hyperconnectivity.ConclusionSx and preSx both demonstrated robust FC alterations. Future studies will investigate whether the preSx subgroup whose whole‐brain FC was similar to Sx in that it showed principally FC disruption may be at greater risk for imminent symptom conversion and/or neurodegeneration.

AbstractBackgroundProgranulin (GRN) mutations cause autosomal dominant frontotemporal lobar degeneration. Clinical trials for GRN‐targeted therapies are underway, yet reliable biomarkers to predict onset and track disease progression remain elusive. Task‐free functional MRI (tf‐fMRI) connectivity may be more sensitive than structural measures for detecting presymptomatic changes (Dopper, 2014; Premi, 2016). Presymptomatic GRN feature tf‐fMRI hyperconnectivity that is more pronounced in older carriers presumably closer to symptom onset, suggesting hyperconnectivity may be a harbinger of disease (Lee, 2019). To aid the interpretation of hyperconnectivity, we explored relationships of structural and tf‐fMRI measures with candidate fluid biomarkers for GRN: CSF complement proteins C3b and C1q, which drive neurodegeneration in GRN ‐/‐ mice (Lui, 2016) and plasma neurofilament light chain (NfL), a marker of axonal injury.MethodWe studied 20 symptomatic GRN (Sx), 39 presymptomatic GRN (preSx), and 67 healthy‐controls (HC). Cross‐sectional CSF C3b, C1q, and plasma NfL concentrations were compared between groups. Correlations controlling for age assessed relationships between fluid biomarkers and symptom severity (CDR®+NACC‐FTLD box score). Voxelwise multiple regression models examined interactions between fluid biomarkers and gene status on grey matter probability maps (GM) and voxelwise tf‐fMRI whole‐brain weighted degree (WBD) maps.ResultComplement concentrations were similar between Sx, preSx, and HC. Across all GRN, C3b concentrations increased with symptom severity (r=0.34, p=0.04). In Sx, but not preSx, higher C3b was associated with increased WBD in medial‐frontal regions, left insula, and thalamus compared to HC. Sx had higher NfL concentrations compared to preSx and HC. Across all GRN and in Sx, higher NfL was associated with greater symptom severity (r=0.60, p<0.001; r=0.72, p<0.001). In Sx, higher NfL was associated with lower GM in precuneus and bilateral frontoinsular cortices, but not WBD, compared to HC. In preSx, higher NfL was associated with increased WBD in thalamus and right temporal regions, but not GM, compared to HC.ConclusionC3b and NfL concentrations correlated with symptom severity. C3b concentrations were associated with tf‐fMRI connectivity alterations in Sx while NfL concentrations were associated with connectivity alterations in preSx. Longitudinal studies are needed to determine temporal relationships between altered connectivity, atrophy, complement, NfL rise, and symptom onset.

AbstractBackgroundBlood neurofilament light chain (NfL) is a robust predictor of phenoconversion in familial frontotemporal lobar degeneration (fFTLD). The comparative value of CSF NfL and other CSF markers of degeneration in fFTLD remains unexplored.MethodFLTD‐causing mutation carriers were recruited through ALLFTD (n = 113, 56.6% female, mean age 48.1 ± 13 years; 29 C9orf72, 16 GRN, 34 MAPT, 34 mutation non‐carriers) and prospectively evaluated for 3 years. Baseline CSF was analyzed for NfL, phosphorylated neurofilament heavy chain (p‐NfH), tau, phosphorylated tau181 (p‐tau) and neurogranin using fit‐for‐purpose immunoassays. Mixed effect linear models, with random slopes, corrected for age, sex, genotype and total intracranial volume related CSF biomarkers to longitudinal clinical variables.ResultNfL (β = 0.64, p < 0.001), p‐NfH (β = 0.68, p < 0.001) and tau (β = 0.46, p < 0.001) correlated with age. There were no differences in biomarker concentrations by phenotype or severity, except for higher NfL and p‐NfH in full phenotype, compared to prodromal disease and asymptomatic carriers. Low neurogranin (β = ‐0.39, p < 0.001), low p‐tau (β = ‐0.33, p < 0.001) and high NfL (β = 0.42, p < 0.001) correlated with worse baseline disease severity measured by the CDR® Dementia Staging Instrument plus behavior and language domains from the National Alzheimer’s Disease Coordinating Center FTLD module sum of boxes (CDR®+NACC‐FTLDsb), and with other measures of global cognition, instrumental and daily function, and frontal and temporal brain volumes. Regardless of genotype, the predicted annualized rate of CDR®+NACC‐FTLDsb score worsenings per higher baseline CSF biomarker Log pg/mL were tau: 3.0 ± 0.2, NfL: 2.8 ± 0.2 and p‐NfH: 2.8 ± 0.2. High tau, NfL and p‐NfH also predicted worsening in other measures of global cognition and instrumental and daily function. Neurogranin and p‐tau did not predict clinical decline.ConclusionCSF tau, p‐tau, neurogranin, NfL and p‐NfH reflect important aspects of disease severity in fFTLD. In contrast to Alzheimer’s disease, low p‐tau and neurogranin are inversely related to clinical severity, which suggests a distinctive pathophysiological process and has implications for therapeutic development. CSF NfL, p‐NfH and tau have strong prognostic value in fFTLD.

AbstractBackgroundUp to 30% of frontotemporal dementia (FTD) cases are due to known pathogenic mutations (f‐FTD). Little is known about the factors that predict who will choose to learn their results. Upcoming clinical trials in f‐FTD may require disclosure prior to enrollment, even before symptom onset, and thus characterizing this sample is important. Furthermore, understanding the mood impacts of genetic disclosure may guide genetic counseling practice.MethodF‐FTD participants (n=568) from families with a known pathogenic mutation (MAPT, C9orf72, GRN) were enrolled through the ARTFL/LEFFTDS Longitudinal FTD Study (ALLFTD) and provided the opportunity for disclosure. Independent‐sample t‐tests compared demographic and psychosocial factors between participants who did and did not receive their results. In participants who were asymptomatic at baseline and follow up (n=199,177 with follow‐up), linear mixed effects modeling was used to investigate pre‐ to post‐disclosure changes in the 15‐item Geriatric Depression Scale (GDS).ResultOf participants from families with a known pathogenic genetic mutation, 47% received genetic disclosure. Of the asymptomatic subset (n=386), 36% know their mutation status. Of these asymptomatic learners, 46% received disclosure through the study, and the remainder learned their genetic status prior to study enrollment. None of the analyzed demographic or psychosocial factors (i.e., sex, age, education, having children) differed between learners and non‐learners (p’s > 0.05). In the longitudinal analysis of asymptomatic participants, learners showed a pre‐ to post‐increase of 0.31 GDS points/year (95%CI: ‐0.08, 0.69, p = 0.12), whereas non‐learners showed a slight decline (‐0.15 points/year, 95%CI: ‐0.36, 0.06, p = 0.16). This difference between slopes was statistically significant (0.46, 95%CI: 0.02, 0.89, p=0.04) but represents a small clinical effect. In asymptomatic learners, slopes did not differ based on mutation status (0.28, 95%CI: ‐0.66, 1.20, p=0.55). Conclusions were based on the estimates and full range of confidence intervals.ConclusionThe majority of asymptomatic research participants do not know their genetic status, which will be a consideration for clinical trials that require disclosure. No considered demographic factors were strongly associated with the decision to receive disclosure. The findings suggest that disclosure in asymptomatic participants has minimal impact on depressive symptoms regardless of genetic results.

AbstractBackgroundFrontotemporal lobar degeneration (FTLD) refers to a group of neurodegenerative conditions, affecting the frontal and/or temporal lobes. Ongoing research has provided insight into developing clinical trials for FTLD and key clinical measures such as structural MRI. To inform clinical trial design and optimize participation, it is imperative to explore facilitators and barriers for potential candidates.ObjectiveThe objective of this study is to explore facilitators and barriers to participating in future clinical trials for FTLD.MethodsAdvancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) are observational studies focused on characterizing FTLD syndromes in preparation for clinical trials. The 584 participants enrolled across 18 research sites in the United States and Canada completed a survey assessing interest in clinical trial participation.Results29% of respondents self‐reported as patients (63±10 years), 26% self‐reported as caregivers answering on behalf of patients (65±10 years), and 45% self‐reported as healthy but at risk for FTLD (48±14 years). Travel reimbursement was the most common factor reported to positively influence participation (≧66%), with the healthy but at risk group showing the strongest endorsement (83%). Cost and time involved in travel were possible barriers for about half of the patients (48%) and healthy but at risk respondents (53%). The respondents value receiving feedback on the study findings (≧80%) and being informed of their individual disease progression (≧75%). Particularly, keeping participation confidential was very important for the healthy but at risk group (62%). In regard to research assessments, most participants demonstrated a high interest in physical and neurological exams at a research center (≧87%) whereas only half were interested in doing more invasive procedures such as the lumbar puncture (≧52%). Overall, respondents showed a positive attitude and support for research participation (≧77%) and trusted that their health information would remain confidential in a clinical trial (≧53%).ConclusionsFavorable attitudes and interest towards medical research exist among participants. To optimize participation, clinical trials should allocate funding for travel and involve participants in feedback about study results and their disease progression. Alternatives to invasive assessments may increase participation.

AbstractBackgroundClinical trials are underway to treat familial frontotemporal lobar degeneration (f‐FTLD). This is a rare disease, and a limited number of mutation carriers have been identified; thus, efficient trial design is critical. Multimodal, latent disease progression models (DPM) can estimate time to symptom onset and define the temporal ordering of biomarker changes. DPMs can also be leveraged to select endpoints and potentially supplement analyses by integrating historical data. Recent draft FDA guidance for gene therapy trials in neurological disease supports these novel approaches to clinical trials.MethodParticipants included 1,049 members of families affected by f‐FTLD, due to mutations in GRN, MAPT, or C9orf72 genes, who were enrolled in ALLFTD or GENFI. A Bayesian repeated measures model incorporated multimodal data to estimate disease progression, conditional on latent disease age (proximity to symptom onset), in 677 mutations carriers (GRN (n=233), MAPT (n=151) and C9orf72 (n=293)). Family members without pathogenic mutations were used as the reference group. Mean follow‐up was 1.1 (SD=1.1) years. Jointly modeled longitudinal variables included neuropsychological scores, CDR®+NACC‐FTLD Box Score, MRI volumes of brain regions affected by f‐FTLD, and plasma levels of neurofilament light chain (NfL).ResultDisease progression curves were similar across ALLFTD and GENFI cohorts. Plasma NfL elevations occurred earliest, up to 10 years before symptom onset, and NfL was the most powerful endpoint in the asymptomatic stage. MRI abnormalities occurred next, closer to symptom onset. The earliest MRI changes relative to symptom onset were observed in C9orf72+. GRN mutation carriers showed the most rapid acceleration in all biomarkers, and this acceleration occurred in close proximity to symptom onset. Neuropsychological measures and CDR®+NACC‐FTLD Box Score were among the most promising endpoints in the symptomatic stage. Trial simulations indicated that using latent disease age as an enrollment criterion would allow some asymptomatic mutation carriers to be enrolled without sacrificing power.ConclusionSimilarity in disease progression across ALLFTD and GENFI participants suggests these models will apply to international trials. Model‐derived estimates of disease progression curves indicate that endpoint selection should be specific to disease stage and mutation, and DPMs would facilitate greater participant enrollment.

AbstractBackgroundIn preparation for treatment trials in frontotemporal dementia (FTD), sensitive assessments to detect early clinical deficits and track longitudinal changes are needed. Remote digital data collection using smartphones may improve sensitivity to detect and follow abnormalities by allowing novel methods of data capture and more frequent assessments. Furthermore, remote evaluations can reduce patient and staff burden. Despite these benefits, little is known about the reliability and validity of self‐administered cognitive testing completed on smartphones.MethodWe investigated self‐administered smartphone cognitive tests from the ALLFTD Mobile App in a mixed sample of 45 participants, including 10 functionally intact older adults, 24 participants from families harboring pathogenic FTD mutations (asymptomatic n=14; mildly symptomatic n=10;), and 11 symptomatic FTD‐spectrum participants. A subset (n=15) was missing CDR®+NACC‐FTLD data but consensus diagnoses were available. Participants were asked to complete five tests that were repeated three times over eight days. Tests included versions of N‐back, Stroop, Flanker, and Go/No‐Go paradigms, and an adaptive spatial working memory test. Reliability was assessed using split‐half reliability (first testing session, 100 simulations) and intraclass correlations (ICC) across the three testing sessions. Linear models were fitted to evaluate the association of test performance with age and disease severity (CDR®+NACC‐FTLD Global and Box Scores), covarying for sex and education level. Models evaluating age associations excluded symptomatic participants.ResultParticipants completed 72.4% of available instruments. Split‐half reliability (range: 0.76 to 0.97) and ICCs (0.70 to 0.92) suggested adequate‐to‐excellent internal consistency and test‐retest reliability. Across the five tests, negative associations were observed with CDR®+NACC‐FTLD Box Scores (ßs = ‐0.24 to ‐0.77), and in clinically asymptomatic individuals, negative associations were observed with age (ßs = ‐0.43 to ‐0.88). Performance on all measures was worse in symptomatic participants compared to asymptomatic (p‐values<.05). Mildly symptomatic cases (CDR®+NACC‐FTLD=0.5) performed worse on Stroop, Flanker, and spatial working memory than asymptomatic participants (p‐values<.03). Flanker and Stroop tasks consistently showed the strongest reliability and validity findings.ConclusionSmartphone adaptations of common neuropsychological tests produced promising preliminary results. Strong associations with disease severity and age suggest these metrics may be valid for detecting clinically relevant cognitive changes, even in mildly symptomatic FTD.

AbstractBackgroundClinicopathologic studies reported that the NACC Uniform Dataset (UDS) 2.0 core measures do not adequately differentiate patients who ultimately died of Frontotemporal Lobar Degeneration (FTLD) from Alzheimer’s disease (AD). The FTLD Module (FTLD‐MOD) assesses core features of behavioral variant FTD (bvFTD) and primary progressive aphasia (PPA). Initial investigations suggest that the FTLD‐MOD improves discrimination between biomarker‐supported bvFTD and typical late‐onset AD, and that clinically diagnosed PPA participants performed worse than bvFTD on all FTLD‐MOD language tasks. However, the utility of these measures in the differential diagnosis of AD vs. major FTLD syndromes in young‐onset cases remains underexplored.MethodWe examined participants with age‐of‐onset < 65 years in the ARTFL‐LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) consortium and the Longitudinal Early Onset AD Study (LEADS). 115 bvFTD, 53 semantic variant PPA (svPPA), 29 non‐fluent variant PPA (nfvPPA) and 124 early‐onset AD (eoAD) cases completed the UDS3 and FLTD‐MOD. Linear regression analyses measured group differences in FLTD‐MOD raw scores and UDS3 neuropsychological z‐scores after accounting for group differences in demographic variables and global severity ratings. Alpha was 0.05 with Bonferroni corrections.ResultsParticipants with eoAD demonstrated the most impaired scores on tasks of attention, working memory, and processing speed, including Digit Span Backward (z=‐1.87) and Trails A (z=‐3.82). They also demonstrated difficulty on FTLD‐MOD language tasks with a working memory requirement (sentence repetition raw=3.68/5) and, as expected, memory (story delayed recall z=‐2.4z). svPPA performed the worst on FTLD‐MOD and UDS3 tasks assessing semantic memory, especially naming (all p’s ≤ 0.03). nfvPPA performed worst on sentence reading, sentence repetition, and letter fluency (all p’s ≤ 0.02). Consistent with previous work, these measures differentiate between bvFTD and PPA variants. However, relative to eoAD, bvFTD was equivalent (Trails B: bvFTDz=‐3.8, eoADz=‐3.82; p=0.12) or outperformed (sentence repetition: bvFTD=4.22/5, eoAD=3.68/5; p<0.001) the eoAD group on all tasks.ConclusionsWe undertook this analysis to compare performance of the major young‐onset sporadic AD and FTLD clinical syndromes in the ALLFTD and LEADS studies. Results demonstrate relatively distinct cognitive profiles among eoAD, svPPA, and nfvPPA, but not in bvFTD. Future analyses will include FTLD‐MOD behavioral symptom questionnaires to assess their utility in differentiating bvFTD.

AbstractBackgroundAt present, no research criteria exist for the diagnosis of prodromal behavioral variant frontotemporal dementia (bvFTD). Leveraging data from carriers of pathogenic genetic mutations as a proxy for frontotemporal lobar degeneration pathology, we sought to develop and test a proposed set of research criteria for prodromal bvFTD, termed “Mild Behavioral and/or Cognitive Impairment in bvFTD” (MBCI‐FTD).MethodParticipants included 68 carriers of a pathogenic mutation in microtubule‐associated protein tau (MAPT), or progranulin (GRN), or a repeat expansion in chromosome 9 open reading frame 72 (C9orf72), with mild behavioral and/or cognitive changes. Based on extensive clinical workup, the prodromal mutation carrier group was divided into a Development Group (N=22) and a Test Group (N=46). The Development Group was selected to be the subset of the prodromal mutation carriers for whom we had longitudinal evidence of conversion to a bvFTD phenotype, and were used to develop the criteria. The Test Group was the remainder of the prodromal mutation carriers (e.g., single visits only) and was used to validate the criteria. Familial non‐carriers were included as controls (N=165).ResultFrequencies of behavioral and neuropsychiatric features, neuropsychological deficits, and social cognitive dysfunction in prodromal mutation carriers and non‐carrier controls were assessed. Based on sensitivity and specificity analyses, seven core features were identified: apathy without moderate‐severe dysphoria, behavioral disinhibition, irritability/agitation, reduced empathy/sympathy, repetitive behaviors (simple and/or complex), joviality/gregariousness, and appetite changes/hyperorality. Supportive features include a neuropsychological profile of impaired executive function or naming with intact orientation and visuospatial skills, reduced insight for cognitive or behavioral changes, and poor social cognition. Three core features or two core features plus one supportive feature are required for the diagnosis of Possible MBCI‐FTD; Probable MBCI‐FTD requires imaging or biomarker evidence, or a pathogenic genetic mutation. The proposed MBCI‐FTD criteria correctly classified 95% of the Development Group of prodromal mutation carriers, and 41% of the Test Group, with a false positive rate of <10%.ConclusionWe present the first diagnostic criteria for prodromal bvFTD. Future research should prioritize establishing generalizability to non‐genetic cases, and testing the specificity of these criteria against psychiatric, neurologic and other neurodegenerative diseases.