Abstract
Introduction
Culturally fair cognitive assessments sensitive to detecting changes associated with prodromal Alzheimer's disease are needed.
Methods
Performance of Hispanic and non-Hispanic older adults on the Loewenstein-Acevedo Scale of Semantic Interference and Learning (LASSI-L) was examined in persons with amnestic mild cognitive impairment (aMCI) or normal cognition. The association between a novel cognitive marker, the failure to recover from proactive semantic interference (frPSI), and cortical thinning was explored.
Results
English-speaking aMCI participants scored lower than cognitively normal participants on all LASSI-L indices, while Spanish-speaking aMCI participants scored lower in learning, frPSI, and delayed recall. Healthy controls obtained equivalent scores on all indices except retroactive semantic interference. English-speaking and Spanish-speaking aMCI participants had equivalent scores except English speaker's greater vulnerability to frPSI. Across aMCI groups, frPSI was associated with cortical thinning of the entorhinal cortex and precuneus (r = −0.45 to r = 0.52; P < .005).
Discussion
In diverse populations, LASSI-L performance differentiated patients with aMCI from cognitively normal older adults and was associated with thinning in Alzheimer's disease–prone regions, suggesting its clinical utility.
Keywords: Prodromal Alzheimer's disease, Mild cognitive impairment, Semantic interference, Cognitive assessment, Diversity
Highlights
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Culturally fair outcome measures sensitive to detecting prodromal Alzheimer's disease are needed.
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The Loewenstein-Acevedo Scale of Semantic Interference and Learning differentiates amnestic mild cognitive impairment from cognitively normal Hispanic elderly, a growing minority group.
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A sensitive marker, failure to recover from proactive semantic interference, was implicated in amnestic mild cognitive impairment, regardless of culture/language.
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The failure to recover from proactive semantic interference was associated with cortical thinning in Alzheimer's disease–prone regions.
1. Introduction
As the population of America's elders continues to grow rapidly, the prevalence of Alzheimer's disease (AD) is expected to nearly double by 2050 [1] and may rise to epidemic proportions if no cure is found [2]. Prevalence of incident AD in the United States (US) has been found to be higher among ethnic minorities including Hispanics, which represent the largest and fastest growing ethnic group in the nation [3], [4]; however, the manner in which AD presents and progresses among Hispanic individuals remains grossly understudied.
Many cognitive outcome measures have not been subjected to examination for cultural, language, and education-related bias [5] which can result in erroneous diagnoses and misinterpretation of behaviors that may deviate from their cultural norm [6], [7]. While the field has attempted to address potential clinical diagnostic biases as it relates to educational variance [8], [9], [10], these methods were not derived from studying diverse individuals at risk for AD. Cognitive outcome measures with greater sensitivity and specificity to detect subtle changes earlier on the disease continuum are needed [11]. Measuring these changes have been challenging because ubiquitously employed outcome measures, while relatively successful at distinguishing between normal cognition and later stage mild cognitive impairment (MCI), or dementia, are insensitive to detect cognitive change in clinically asymptomatic persons who have positive AD biomarkers. Moreover, the use of biomarkers in the diagnosis of MCI due to AD is often limited to clinical research settings, academic centers, or through clinical trials. Thus, it is imperative to develop effective clinical tools and become widely accessible and broadly utilized in any setting.
To address these concerns, our laboratory has developed cross-culturally sensitive “cognitive stress tests” that employ assessment paradigms sensitive to AD during the preclinical and prodromal stages. The Loewenstein-Acevedo Scale of Semantic Interference and Learning (LASSI-L) is unique in its ability to measure the failure to recover from proactive semantic interference (frPSI), a novel cognitive marker of early brain pathology highly associated with incipient AD. PSI occurs when previous learning (List A) interferes with the ability to learn a new list of semantically competing words (List B). The LASSI-L also taps the failure to recover from the effects of PSI (frPSI) or continued difficulty in recalling the semantically competing target words (List B) despite a second exposure, which is measured during a second cued recall trial of the List B words. This breakdown in memory has been shown to be superior to traditional memory measurement in detecting prodromal and preclinical stages of AD [11] as has been referred to as a “cognitive stress test” [11], [12] because it was designed to elicit PSI, challenging the inhibition of previously learned semantically related material and making considerable demands on source memory [13]. Loewenstein et al. [12] showed that frPSI on the LASSI-L is highly associated with increased amyloid load in cognitively normal elders and with volumetric loss and cortical thinning among those with early amnestic MCI (aMCI) [14]. Matias-Guiu et al. [15] led the translation of the LASSI-L for a Spaniard population. They generated age- and education-adjusted normative data using logistic regression and validated the LASSI-L for the diagnosis of aMCI and mild AD among 97 healthy participants: 34 individuals with aMCI and 33 with mild AD. They found high internal consistency (0.932) and moderate convergent validity with the Free and Cued Selective Reminding Test. The area under the receiver-operating characteristic curve for discriminating between healthy controls and aMCI was 0.909, and between controls and mild AD was 0.986. LASSI-L subscales representing maximum encoding, frPSI, and delayed recall yielded the highest diagnostic accuracy, which deemed the LASSI-L a reliable and valid test that could be used for the diagnosis of aMCI and mild AD in a Spanish-speaking population. Subsequent work by this group aimed to compare the diagnostic accuracy of the Free and Cued Selective Reminding Test and the LASSI-L for the diagnosis of prodromal AD using 18F-fluorodeoxyglucose positron emission tomography as a reference [16]. The results indicated that frPSI and delayed recall as measured by the LASSI-L allowed for better classification AD/non-AD in comparison to the Free and Cued Selective Reminding Test providing further evidence that frPSI might be a key cognitive marker of prodromal AD with early diagnostic utility. Recent preliminary work by Sanchez et al. [17] in Buenos Aires, Argentina, studied performance on the LASSI-L among Hispanic middle-aged asymptomatic children of patients with late-onset AD. Notably, frPSI deficits differentiated this at-risk group from age-equivalent controls without a family history of late-onset AD and were related to decreased brain connectivity on functional magnetic resonance imaging (MRI).
The present study evaluates comparative performance on the LASSI-L among older adults diagnosed with aMCI versus controls with normal cognition in two culture/language groups: predominantly Spanish-speaking older adults who identified as Hispanic from various countries in Latin America, and primarily English-speaking older adults, most of whom identified as European-American. We were particularly interested in performance as it relates to frPSI (measured by total correct scores on the second cued recall trial of List B). A second aim of the current investigation was to determine the extent to which scores on the LASSI-L B2 cued recall trial (sensitive to frPSI) was associated with cortical thinning on MRI in AD-prone brain regions in both Hispanic and non-Hispanic aMCI groups compared to controls. Performance across groups for other LASSI-L indices (maximum learning [cued A2], PSI [cued B1], retroactive semantic interference [cued A3] and delayed recall) were also studied, given that these indices have previously demonstrated the ability to differentiate between older adults with and without cognitive impairment [11], [12], [13], [14], [15], [16].
2. Methods
2.1. Participants
For the purposes of the current investigation, we studied 247 participants, aged 60 to 98 (114 predominant Spanish speakers and 133 predominant English speakers), from a National Institute of Health funded longitudinal study at the University of Miami Miller School of Medicine as well as from the 1Florida Alzheimer's Disease Research Center (ADRC) for this institutional review board–approved study. In both settings, common assessment protocols were employed with identical diagnostic criteria. At each site, an experienced clinician administered a standard clinical assessment protocol, which included the Clinical Dementia Rating (CDR) scale [18] and the Mini-Mental State Examination (MMSE) [19]. In cases where there was evidence of cognitive decline by history and/or clinical examination, the clinician scored the Global CDR as 0.5 and a probable diagnosis of amnestic MCI (aMCI), pending the results of formal neuropsychological testing. Next, a standard neuropsychological battery was administered uniformly across sites independent of the clinical examination.
On the basis of the independent clinical interview and performance on the neuropsychological test battery, diagnostic groups were classified using the following criteria:
2.2. Amnestic MCI group
Participants were diagnosed to have aMCI if there were (1) subjective cognitive complaints by the participant and/or collateral informant; (2) evidence by clinical evaluation or a history of memory or other cognitive decline; (3) Global CDR scale of 0.5; (4) below expected performance on delayed recall of the Hopkins Verbal Learning Test, Revised or delayed paragraph recall from the National Alzheimer's Coordinating Center, Uniform Data Set as measured by a score that is 1.5 standard deviation or higher, below the mean using age-, education-, and language-related norms.
2.3. Cognitively normal group
Participants were deemed cognitively normal if there were (1) no subjective cognitive complaints made by the participant and/or a collateral informant; (2) no evidence by clinical evaluation or history of memory or other cognitive decline after an extensive interview with the participant and an informant; (3) Global CDR scale of 0; (4) all memory and nonmemory measures described previously were no lower than 1.0 standard deviation below normal limits for age, education, and language group.
The vast majority of the predominantly English-speaking sample included U.S. born Americans of European descent who were native English speakers and identified as non-Hispanic. The predominantly Spanish-speaking sample included all native Spanish speakers who had immigrated to the United States from a Latin American country and self-identified as Hispanic. Some of the predominantly Spanish-speaking participants were bilinguals, proficient in both languages. We administered the entire test battery in the participants' dominant and preferred language by highly trained and fluent Spanish/English bilingual psychometricians. There were no predominantly Spanish-speaking individuals who had the tests administered in English in the present study. There was careful determination of what the appropriate test language should be to test our bilingual individuals that included a questionnaire to determine language proficiency, consideration of the language that they were educated in, as well as their subjectively preferred language. This resulted in 62 cognitively normal participants who were tested in English and 51 cognitively normal participants who were tested in Spanish (Table 1). In addition, 71 aMCI participants were tested in English, while 63 Hispanic aMCI participants were tested in Spanish, their dominant and preferred language.
Table 1.
Demographic characteristics of 247 English- and Spanish-speaking aMCI and cognitively normal (CN) older adults
English-speaking CN n = 62 | Spanish-speaking CN n = 51 | English-speaking aMCI n = 71 | Spanish-speaking aMCI n = 63 | F-value or X2 value | P value | |
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Age (range 60–98 years) | 73.89ab | 70.74a | 75.18b | 74.00ab | 3.33 | .02 |
SD = 8.3 | SD = 6.2 | SD = 8.5 | SD = 7.4 | |||
Years of education (range 4–21) | 15.83b | 13.22a | 15.78ab | 13.76a | 10.89 | <.001 |
SD = 2.6 | SD = 3.6 | SD = 2.9 | SD = 3.4 | |||
Sex (% female) | 69.4 | 78.4 | 46.5 | 60.3 | 14.64 | .002 |
MMSE (range 23–30) | 29.03b | 28.59b | 27.39a | 26.98a | 20.14 | <.001 |
SD = 1.2 | SD = 1.5 | SD = 2.1 | SD = 1.8 |
NOTE. Means with different alphabetic superscripts are statistically significant at P ≤ .05 by the Tukey's honestly significant difference (HSD) procedure. For example: for age, the only means that are statistically significant after the Tukey's HSD adjustment was Spanish-speaking CN and English-speaking aMCI. P-values that were statistically significant at P < .05 are indicated in bold.
Abbreviations: aMCI, amnestic mild cognitive impairment; MMSE, Mini-Mental State Examination; SD, standard deviation.
3. Materials and methods
3.1. Neuropsychological measures
The neuropsychological battery included the Hopkins Verbal Learning Test, Revised [20], delayed paragraph recall from the Uniform Data Set of the National Alzheimer's Coordinating Center [21], Category Fluency [22], Block Design of the Wechsler Adult Intelligence Scale, Fourth Edition [23], and the Trail Making Test (Parts A and B) [24]. For Spanish speakers, previously validated Spanish language versions of tests and test instructions were used. When these were not available, translations were conducted using the Brislin method for cross-cultural research [25]. The LASSI-L was not used for diagnostic determination.
3.2. Loewenstein-Acevedo Scale of Semantic Interference and Learning
The LASSI-L employs controlled learning and cued recall to maximize storage of a list of to-be-remembered target words representing three semantic categories [11]. Test-retest reliabilities of the LASSI-L have been shown to be high in previous studies (r = 0.60 to r = 0.89) among aMCI and early dementia, and the accuracy of classification of older adults with MCI versus cognitively normal has exceeded 90% [26], [27]. The LASSI-L has demonstrated adequate test-retest reliabilities, and high discriminative and concurrent validity [15], [16], [17], [26], [27].
During the administration of the LASSI-L, the examinee is instructed to remember a list of 15 common words that belong to one of the three semantic categories. The first presentation is followed by free recall and then a cued recall trial. Then, the same list is presented for a second time, followed by a second cued recall trial which measures maximum encoding (Trial A2). Immediately following, a second competing list of to-be-remembered semantically similar words (List B) is presented in the same manner as the first list. Shared semantic categories across both Lists A and B elicits a considerable amount of PSI (measured on Trial B1). Unlike other memory measurement paradigms, the second presentation and subsequent cued recall of this second list of words measures an individual's ability to recover from the effects of PSI (cued B2 recall). Previously published work describes the specific elements of the test in more detail [11], [26], [27]. The frPSI has been conceptualized in different ways; however, in the current investigation, since this is the first direct comparison between a large number of Hispanics versus non-Hispanic older adults, we opted to define frPSI, our primary outcome measure, in the most straightforward manner consistent with our previous studies of preclinical and prodromal at-risk populations: the total number of correct responses on the LASSI-L cued B2 recall trial. Other indices of interest based on previous findings included maximum learning (cued A2), PSI (cued B1), retroactive semantic interference (cued A3), and delayed recall.
3.3. MRI measurements
A subsample of 82 aMCI participants (36 Spanish speakers and 46 English speakers) underwent brain imaging using a Siemens Skyra 3T MRI scanner at either the University of Miami or Mount Sinai Medical Center, given that both hospitals have the identical scanner and imaging protocol. Brain parcellation was obtained using a 3D T1-weighted Magnetization Prepared Rapid Acquisition Gradient Echo sequence with 1.0-mm isotropic resolution using FreeSurfer version 5.3 software (http://surfer.nmr.mgh.harvard.edu). We examined mean cortical thickness in AD-prone signature regions [28], [29], [30], including the medial temporal regions (parahippocampal gyrus, entorhinal cortex), the precuneus, inferior and superior parietal lobules, rostral middle and superior frontal lobules, inferior and superior temporal lobules, and posterior cingulate.
3.4. Statistical analyses
A major goal of the study was to determine the extent to which older adults from different ethnicities diagnosed with aMCI could be differentiated from their cognitively normal counterparts on LASSI-L indices, particularly the one that measures frPSI. A second goal was to determine the extent to which cognitive performance on the measure is associated with cortical thinning in AD-prone brain regions. We examined demographic variables using a series of one-way analyses of variance models and chi-square analyses. To compare English-speaking and Spanish-speaking aMCI with cognitively normal groups on various LASSI-L measures, we employed analyses of covariance (ANCOVA) models using age, sex, and level of education as covariates. Conservative post hoc tests on adjusted means were conducted with the Sidak procedure, to control for multiple comparisons, at P ≤ .05. We conducted a series of Pearson analyses adjusting P values to account for the false discovery rate [31] associated with each LASSI-L index that correlated with 10 MRI regional cortical thickness measures for each ethnic/language group. While unadjusted P values were presented (see Table 5) for each correlation coefficient, only corrected P values of P ≤ .05 after correction for false discovery rate were considered statistically significant, and this was denoted by using bolded font.
Table 5.
Relationship between LASSI-L measures and cortical thickness in AD-prone brain regions in 36 Spanish speakers (SS) and 46 English speakers (ES) diagnosed with aMCI
Brain regions of interest | LASSI-B2 frPSI, Spanish (n = 36); English (n = 46) | LASSI-A2 maximum storage, Spanish (n = 36); English (n = 46) | LASSI-B1 proactive semantic interference, Spanish (n = 36); English (n = 46) | LASSI-A3 retroactive semantic interference, Spanish (n = 36); English (n = 46) |
---|---|---|---|---|
ERC |
SS: r = 0.48, P = .003 ES: r = 0.48, P < .001 |
SS: r = 0.24, P = .151 ES: r = 0.53, P < .001 |
SS: r = 0.13, P = .465 ES: r = 0.45, P = .002 |
SS: r = −0.12, P = 0.489 ES: r = 0.14, P = 0.35 |
Parahippocampal | SS: r = 0.19, P = .266 ES: r = 0.25, P = .096 |
SS: r = 0.08, P = .664 ES: r = 0.32, P = .029 |
SS: r = −0.20, P = .251 ES: r = 0.17, P = .271 |
SS: r = −0.09, P = .586 ES: r = 03, P = .863 |
Precuneus |
SS: r = 0.45, P = .006 ES: r = 0.52, P < .001 |
SS: r = 0.16, P = .351 ES: r = 0.34, P = .022 |
SS: r = 0.10, P = .569 ES: r = 0.28, P = .060 |
SS: r = −0.06, P = .752 ES: r = 0.03, P = .870 |
Posterior cingulate | SS: r = −0.14, P = .425 ES: r = 0.48, P < .001 |
SS: r = −0.04, P = .821 ES: r = 0.42, P = .004 |
SS: r = 0.28, P = .060 ES: r = 0.21, P = .164 |
SS: r = 0.03, P = .266 ES: r = 0.16, P = .300 |
Inferior parietal thickness | SS: r = 0.13, P = .466 ES: r = 0.26, P = .078 |
SS: r = 0.09, P = .585 ES: r = 0.18, P = .246 |
SS: r = −0.13, P = .467 ES: r = 0.11, P = .489 |
SS: r = −0.13, P = .460 ES: r = 0.01, P = .952 |
Superior parietal | SS: r = 0.22, P = .197 ES: r = 0.36, P = .015 |
SS: r = 0.07, P = .703 ES: r = 0.23, P = .128 |
SS: r = 0.17, P = .327 ES: r = 0.34, P = .021 |
SS: r = −0.08, P = .636 ES: r = −0.03, P = .828 |
Rostral middle frontal | SS: r = −0.04, P = .798 ES: r = 0.10, P = .503 |
SS: r = .16, P = .338 ES: r = 0.04, P = .770 |
SS: r = −0.02, P = .893 ES: r = 0.15, P = .446 |
SS: r = 0.06, P = .726 ES: r = 0.06, P = .679 |
Superior frontal | SS: r = 0.07, P = .694 ES: r = 0.22, P = .147 |
SS: r = 0.24, P = .155 ES: r = 0.04, P = .770 |
SS: r = −0.17, P = .322 ES: r = 0.12, P = .446 |
SS: r = −0.11, P = .535 ES: r = 0.03, P = .890 |
Inferior temporal | SS: r = 0.30, P = .080 ES: r = 0.47, P < .001 |
SS: r = 0.19, P = .280 ES: r = 0.46, P < .001 |
SS: r = 0.17, P = .313 ES: r = 0.49, P < .001 |
SS: r = −0.17, P = .325 ES: r = 0.11, P = .455 |
Superior temporal | SS: r = 0.19, P = .272 ES: r = 0.49, P < .001 |
SS: r = 0.03, P = .847 ES: r = 0.51, P < .001 |
SS: r = −0.08, P = .665 ES: r = 0.27, P = .072 |
SS: r = −0.15, P = .398 ES: r = 0.30, P = .045 |
NOTE. P values represent an uncorrected two-tailed test of statistical significance. Bolded correlations are statistically significant at P ≤ .05 for each language group for different measures after adjusting for false discovery rate (FDR) for each.
Abbreviations: aMCI, amnestic mild cognitive impairment; frPSI, failure to recover from proactive semantic interference; LASSL-L, Loewenstein-Acevedo Scale of Semantic Interference and Learning.
4. Results
There were significant group differences in age, educational attainment, sex, and MMSE scores (Table 1). Post hoc tests employing the Tukey's honestly significant difference procedure showed that cognitively normal Spanish speakers were younger than Spanish-speaking participants diagnosed with aMCI. English-speaking cognitively normal participants were also older than the Spanish-speaking cognitively normal group. The aMCI English-speaking cohort had more males than females, while the other groups consisted of predominantly females. There were no significant differences in male-to-female ratios. There were group differences in educational attainment, where English-speaking cognitively normal participants were more educated than Spanish-speaking groups. English-speaking and Spanish-speaking aMCI groups evidenced equivalent MMSE scores, but as expected, these were lower than the two cognitively normal groups, which did not differ in their MMSE total score.
4.1. Comparative performance on different LASSI-L measures
To examine the comparative performance of English-speaking cognitively normal, Spanish-speaking cognitively normal, English-speaking aMCI, and Spanish-speaking aMCI groups on different LASSI-L indices, we conducted a series of one-way ANCOVAs with age, education, and sex as covariates in all models. Since all ANCOVA analyses yielded statistically significant results at P ≤ .001, we conducted a series of conservative post hoc tests employing the Sidak procedure at P ≤ .05.
All cognitively normal participants obtained equivalent scores on the LASSI-L measure tapping maximum learning of List A targets (cued A2), PSI (cued recall of List B1), frPSI (cued recall of List B2), and delayed recall (Table 2). Spanish-speaking cognitively normal participants obtained lower scores on a measure susceptible to retroactive semantic interference (cued Recall A3) as compared to their English-speaking counterparts. Retroactive semantic interference occurs when newly learned material interferes with the recall of previously learned material.
Table 2.
LASSL-L subscale performance among 247 English- and Spanish-speaking cognitively normal (CN) and aMCI older adults
LASSI-L subscales | English-speaking CN, n = 62 | Spanish-speaking CN, n = 51 | English-speaking aMCI, n = 71 | Spanish-speaking aMCI, n = 63 | F-value adjusted for age, sex, and education | P value | Eta-squared uncorrected effect size |
---|---|---|---|---|---|---|---|
Maximum storage (A2 cued recall) | 13.50a | 13.06a | 11.27b | 11.24b | 19.52 | <.001 | 23.56% |
SD = 1.5 (range 9–15) | SD = 1.5 (range 8–15) | SD = 2.3 (range 5–15) | SD = 2.0 (range 6–14) | ||||
Proactive semantic interference (B1 cued recall) | 7.68a | 7.43ab | 5.54c | 6.06bc | 8.44 | <.001 | 11.97% |
SD = 2.8 (range 3–14) | SD = 2.7 (range 2–12) | SD = 2.4 (range 3–14) | SD = 2.2 (range 1–11) | ||||
Failure to recover from proactive semantic interference (B2 cued recall) | 11.44a | 11.02a | 8.30c | 9.37b | 21.54 | <.001 | 24.32% |
SD = 2.3 (range 5–15) | SD = 2.2 (range 6–15) | SD = 2.5 (range 2–14) | SD = 2.2 (range 5–14) | ||||
Retroactive semantic interference (A3 cued recall) | 8.79a | 7.2b | 6.47b | 6.37b | 16.10 | <.001 | 16.65% |
SD = 2.4 (range 3-14) | SD = 2.1 (range 3-12) | SD = 2.0 (range 1-10) | SD = 2.0 (range 1-11) | ||||
Delayed free recall (both Lists A and B) | 19.50a | 18.0a | 13.30b | 13.64b | 20.55 | <.001 | 22.91% |
SD = 4.7 (range 0–28) | SD = 3.8 (range 10–26) | SD = 5.9 (range 0–24) | SD = 5.5 (range 0–24 |
NOTE. Unadjusted means are presented. Means with different alphabetic superscripts are statistically significant at P < .05 by the Sidak procedure after statistical adjustment for age, education, and sex. P-values that were statistically significant at P < .05 are indicated in bold.
Abbreviations: aMCI, amnestic mild cognitive impairment; LASSL-L, Loewenstein-Acevedo Scale of Semantic Interference and Learning; SD, standard deviation.
English-speaking aMCI participants scored lower than English-speaking cognitively normal participants on all LASSI-L measures. Spanish-speaking aMCI participants scored lower than Spanish-speaking cognitively normal participants on measures of maximum learning, frPSI, and delayed recall but evidenced equivalent scores on cued B1 (measuring PSI) and cued A3 (retroactive semantic interference). Finally, despite frPSI differentiating cognitively normal participants from aMCI participants across culture/language groups, this cognitive marker was more impaired in the non-Hispanic cohort (English-speaking aMCI participants).
Another indicator of semantic interference is the number of semantic intrusion errors on each list. These errors are calculated as a percentage of total responses exhibited on cued A2 recall (maximum learning), cued B1 recall (PSI), cued B2 recall (frPSI), and cued A3 recall (retroactive semantic interference) (Table 3). Across culture/language groups, aMCI made more errors on indices sensitive to PSI and frPSI than their cognitively normal counterparts. English-speaking aMCI exhibited a higher percentage of semantic intrusions on A3 cued recall (a measure of retroactive semantic interference) than individuals in the English-speaking cognitively normal group. In contrast, Spanish-speaking aMCI persons exhibited a higher percentage of semantic intrusions than their Spanish-speaking cognitively normal counterparts on cued A2 (maximum learning of List A).
Table 3.
Comparison of average proportion of intrusion errors on LASSL-L as a function of total responses on measures of maximum learning on subscales susceptible to proactive and retroactive semantic interference across different groups (N = 247)
LASSL-L indices | English-speaking CN, n = 62 | Spanish-speaking CN, n = 51 | English-speaking aMCI, n = 71 | Spanish-speaking aMCI, n = 63 | F-value adjusted for age, education, and sex | P value | Uncorrected effect size eta-squared |
---|---|---|---|---|---|---|---|
Mean % List A2 semantic intrusions (maximum storage) | 2.6%a | 4.1%a | 6.5%ab | 9.9%bc | 7.02 | <.001 | 10.98 % |
SD = 4.5% (range 0.0–.19) | SD = 6.0% (range 0.0–.24) | SD = 9.2% (range 0.0–.31) | SD = 13.0% (range 0.0–.33) | ||||
Mean % List B1 semantic intrusions (PSI) | 28.0%a | 27.3%a | 41.9%b | 41.6%b | 6.79 | <.001 | 10.17 % |
SD = 21% (range = 0.00–.71) | SD = 20% (range = 0.00–.82) | SD = 23% (range = 0.00–.92) | SD = 19.2% (range = 0.00–.78) | ||||
Mean % List B2 semantic intrusions (frPSI) | 13.9%a | 14.2%a | 27.60%b | 26.5%b | 12.96 | <.001 | 16.62% |
SD = 12% (range = 0.00–.58) | SD = 12% (range = 0.00–.42) | SD = 18% (range = 0.00–.70) | SD = 14% (range = 0.00–.58) | ||||
Mean% List A3 semantic intrusions (RSI) | 24.5%a | 32.3%ab | 38.5 %b | 43.9 %bc | 10.36 | <.001 | 14.22% |
SD = 16% (range = 0.00–.63) | SD = 19 (range = 0.00–.73) | SD = 20% (range = 0.00–.80) | SD = 17% (range = 0.00–.78) |
NOTE. Means with different alphabetic superscripts are statistically significant at P < .05 by the Tukey's honestly significant difference (HSD) test. P-values that were statistically significant at P < .05 are indicated in bold.
Abbreviations: aMCI, amnestic mild cognitive impairment; CN, cognitively normal; frPSI, failure to recover from proactive semantic interference; LASSL-L, Loewenstein-Acevedo Scale of Semantic Interference and Learning; RSI, retroactive semantic interference.
4.2. Cortical thickness in Hispanic and non-Hispanic diagnostic groups
There were statistically significant group differences in cortical thickness in the entorhinal cortex, parahippocampal gyrus, posterior cingulate, and superior parietal regions at P ≤ .01 among the four diagnostic groups (Table 4). Post hoc tests of means indicated that cognitively normal Spanish-speaking and English-speaking individuals evidenced similar nonstatistically significant values in these regions. Similarly, Spanish-speaking and English-speaking MCI participants also achieved comparable and nonstatistically significant values. English-speaking aMCI participants evidenced less cortical thickness in the entorhinal cortex than cognitively normal counterparts of both cultures/languages. Conversely, Spanish-speaking cognitively normal older adults had greater cortical thickness than both aMCI groups in the parahippocampus. Finally, Spanish-speaking cognitively normal participants had greater cortical thickness than Spanish-speaking aMCI participants in the posterior cingulate.
Table 4.
Cortical thickness among different diagnostic groups (n = 149)
Brain regions of interest | English-speaking CN (n = 42) | Spanish-speaking CN (n = 25) | English-speaking aMCI (n = 46) | Spanish-speaking aMCI (n = 36) | F-value adjusted for age | P value | Effect size |
---|---|---|---|---|---|---|---|
Entorhinal cortex | 6.62b SD = .74 (range 4.7–7.9) |
6.9b SD = .7 (range 4.9–8.2) |
5.97a SD = .98 (range 3.9–8.0) |
6.13ab SD = .78 (range 4.4–7.3) |
7.19 | <.001 | 12.13% |
Parahippocampal | 5.29abc SD = .52 (range 3.9–6.3) |
5.60c SD = .58 (range 3.9–6.6) |
5.11b SD = .60 (range 3.8–6.2) |
5.09ab SD = .68 (range 3.6–6.6) |
4.11 | .008 | 9.67% |
Precuneus | 4.46 SD = .32 (range 3.4–5.1) |
4.59 SD = .19 (range 4.2–5.0) |
4.44 SD = .31 (range 3.9–5.2) |
4.42 SD = .3 (range 3.6–5.0) |
1.39 | .25 | 3.90% |
Posterior cingulate | 4.82b SD = .32 (range 4.1–5.4) |
4.86b SD = .31 (range 4.3–5.6) |
4.73ab SD = .24 (range 4.3–7.9) |
4.62a SD = .38 (range 4.7–5.3) |
3.89 | .01 | 6.33% |
Superior frontal | 5.12 SD = .29 (range 4.4–5.9) |
5.20 SD = .24 (range 4.7–5.6) |
5.05 SD = .27 (range 4.4–5.8) |
5.10 SD = .31 (range 4.5–5.9) |
1.57 | .20 | 3.00% |
Rostral middle frontal | 4.44 SD = .26 (range 3.8–5.0) |
4.58 SD = 25 (range 4.2–5.2) |
4.45 SD = .27 (range 3.8–5.0) |
4.53 SD = .32 (range 3.8–5.4) |
1.92 | .13 | 4.40% |
Superior temporal | 5.13 SD = .31 (range 4.5–5.9) |
5.22 SD = .23 (range 4.8–5.8) |
5.03 SD = .37 (range 4.2–5.8) | 5.03 SD = .31 (range 4.0–5.5) |
2.47 | .06 | 6.24% |
Inferior temporal | 5.25ab SD = .35 (range 4.4–5.9) |
5.42b SD = .28 (range 4.9–5.9) |
5.16a SD = .40 (range 3.8–6.0) |
5.33ab SD = .34 (range 4.5–5.9) |
3.48 | .02 | 7.08% |
Superior parietal | 4.09a SD = .25 (range 4.0–5.1) |
4.26ab SD = .2 (range 4.3–5.2) |
4.17ab SD = .26 (range 3.9–5.3) |
4.27b SD = .3 (range 3.8–5.1) |
4.01 | .01 | 4.74% |
Inferior parietal | 4.54 SD = .28 (range 4.3–5.9) |
4.72 SD = .21 (range 4.9–5.9) |
4.55 SD = .26 (range 4.5–6.1) |
4.58 SD = .30 (range 4.8–6.1) |
2.36 | .06 | 6.63% |
NOTE. Means with different alphabetic superscripts are statistically significant at P < .05 by the Sidak procedure.
Abbreviations: aMCI, amnestic mild cognitive impairment; CN, cognitively normal; SD, standard deviation.
4.3. Associations between LASSI-L subscales and cortical thickness in aMCI
We examined the associations between cortical thickness in AD-prone regions and different LASSI-L measures among 36 Spanish-speaking and 46 English-speaking participants diagnosed as aMCI.
All Spanish-speaking and English-speaking aMCI participants exhibited moderately strong associations between frPSI and cortical thickness in the entorhinal cortex (r = 0.48; P = .003 and r = 0.48; P = .001, respectively) and precuneus (r = 0.45; P = .006 and r = 0.52; P < .001, respectively) (Table 5). English-speaking aMCI participants demonstrated additional associations between frPSI and cortical thickness in the posterior cingulate (r = 0.48; P = .001); inferior temporal (r = 0.47; P = .001), superior temporal (r = 0.49; P = .001), and superior parietal regions (r = 0.46; P = .015). Further, for these participants, maximum encoding of List A2 also showed statistically significant associations with the entorhinal cortex, parahippocampus, precuneus, posterior cingulate, and inferior and superior temporal regions (range of r values from 0.32 to 0.53). For English-speaking participants diagnosed with aMCI, the only statistically significant association was between B1 cued recall (PSI) and cortical thickness in the inferior temporal regions (r = 0.49; P = .001). All of the aforementioned correlations remained statistically significant after correction for false discovery rate.
5. Discussion
This is the first investigation to directly compare the performance of predominantly Spanish-speaking older adults who identify as Hispanic with predominantly English-speaking counterparts who identify as non-Hispanic on the LASSI-L, a cognitive stress test that assesses memory using a semantic interference paradigm. We sought to expand upon previous investigations of the LASSI-L that demonstrated the instrument's efficacy in detecting preclinical and prodromal AD and its association with early biological markers brain pathology [12], [13], [14]. In the present study, we specifically examined the relationship between frPSI and cortical thickness in AD-prone brain regions.
Even after statistical adjustment for demographic factors, all cognitively normal participants obtained equivalent scores on all LASSI-L subscales with the exception of performance on a subscale that taps retroactive semantic interference. Cognitively normal individuals outperformed participants with aMCI on subscales measuring maximum encoding (A2 cued recall), recovery from PSI (B2 cued recall), and delayed recall. These findings support the ability of the LASSI-L to discriminate individuals with normal cognition from older adults diagnosed with aMCI across two ethnic groups. Notably, the deficits noted in this heterogeneous population of predominantly Spanish-speaking Hispanics in the U.S. were similar to a recent study conducted in Spain showing that the LASSI-L effectively discriminated between patients diagnosed with aMCI or probable AD from healthy elderly Spanish controls [16]. As noted by Loewenstein et al. [11], both PSI and the failure to recover from the effects of PSI (frPSI) can be observed in normal aging, MCI, and dementia. The value of measuring frPSI, in particular, is that the vast majority of individuals with normal cognition are able to recover from the semantic interference effect when given another opportunity to learn to the competing list, while a significant number of older adults diagnosed with MCI (particularly those with underlying AD brain pathology) do not recover from the performance deficit observed as a result of PSI. Therefore, it is not that frPSI is absent in normal aging, but rather, that these effects are accentuated among persons with amyloid load and other manifestations of neurodegeneration in the brain [12], [13], [14]. The inability to accurately recollect target exemplars in the semantic network and difficulties with source memory have long been associated with AD pathology [11].
In the present study, after correction for false discovery rate, cortical thinning in AD-vulnerable brain regions among aMCI participants such as the entorhinal cortex and the precuneus, two of the earliest affected brain regions in AD revealed moderately strong relationships with frPSI deficits, regardless of the culture/language group. In addition, for predominantly English-speaking aMCI participants specifically, frPSI deficits were also associated with cortical thinning in the posterior cingulate, superior and inferior temporal, and superior parietal regions. Given less propensity to exhibit frPSI than their English-speaking counterparts, it is possible that Hispanic individuals had an attenuated relationship with other AD-prone clinical regions. Another possibility is that English-speaking aMCI participants may have had a predominant neocortical subtype of AD as opposed to Spanish speakers who may have had more of a limbic predominant subtype. Although beyond the scope of the present study, this is an interesting finding which may be worthy of further research. Cortical thinning in both the entorhinal cortex and precuneus suggests that frPSI deficits are associated with brain pathology in prodromal AD states. It should be noted that even though the association between the cortical thickness measures, such as the entorhinal cortices and LASSI-L indices, yielded total explained variance that was relatively modest (<30%), these correlations in fact represent relatively robust relationships in the neuroimaging literature. This likely reflects the fact that LASSI-L performance is not only related to the structural integrity of the brain region but may also be related to unmeasured factors, such as the presence of amyloid load, tau burden, synaptic dysfunction, neuroinflammation, and so forth. This is always an issue when comparing a cognitive test, which measures more functional parameters, to brain volume or cortical thickness tap structure rather than function. Future studies should include multimodal imaging including fMRI, tau, and amyloid positron emission tomography/computed tomography.
The current investigation represents the first direct comparison of Hispanic and non-Hispanic elders in the U.S. using a cognitive stress test and adds to the literature regarding the clinical characterization of aging Hispanics with MCI [32]. Strengths of the current investigation include a large sample size, carefully diagnosed participants, and the use of MRI cortical thickness measures. We also included statistical adjustments for demographic variables (i.e., education, and so forth) and controlled for the large number of MRI and LASSI-L comparisons using adjustments to account for false discovery rate, which increases confidence in our findings.
Potential weaknesses included the lack of cerebrospinal fluid or neuroimaging measures of amyloid and tau burden, as well as functional biomarkers such as fMRI. It was also not possible to compare the LASSI-L to other commonly used neuropsychological measures, which unlike the LASSI-L, were used to diagnose as doing so would lead to circularity in argument.
The current findings indicate that performance on various LASSI-L subscales have clinical diagnostic utility in Hispanics older adults at risk for developing AD. Particularly important is the relationship between the cognitive marker, frPSI, and cortical thinning in hallmark brain regions affected in AD. Longitudinal follow-up of these and additional ethnically diverse participants should provide further clarity regarding the ability of the LASSI-L to predict progression of cognitive decline over time.
Research in context.
-
1.
Systematic review: Hispanics represent the fastest growing minority group in the nation. As the population ages, the field needs culturally fair cognitive outcome measures sensitive enough to detect prodromal Alzheimer's disease. The current investigation represents the first direct comparison of Hispanic and non-Hispanic elders using the Loewenstein-Acevedo Scale of Semantic Interference and Learning (LASSI-L), a cognitive stress test, sensitive to memory changes that occur in the mild cognitive impairment (MCI) stage or before.
-
2.
Interpretation: Performance deficits on various LASSI-L indices differentiated persons with normal cognition from those with amnestic MCI, across both culture/language groups and LASSI-L performance was associated with cortical thinning in Alzheimer's disease–prone regions.
-
3.
Future directions: This large sample included Hispanics from diverse Latin American countries who performed similar to Spanish-speaking elderly in Spain, which suggests that the findings may be generalizable to heterogeneous groups of Hispanics throughout the U.S. and adds to theexisting literature about the clinical characterization of aging Hispanics with MCI.
Acknowledgments
This research was funded by the National Institute on Aging Grant 1 R01 AG047649-01A1 (David Loewenstein, PI), 5 P50 AG047726602 1Florida Alzheimer's Disease Research Center (Todd Golde, PI), and National Science Foundation awarded to Malek Adjouadi under NSF grants CNS-1532061, CNS-0959985, CNS-1551221, and HRD- 0833093.
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