Diagnostic Performance of Cerebrospinal Fluid Neurofilament Light Chain and Soluble Amyloid-ß Protein Precursor ß in the Subcortical Small Vessel Type of Dementia.

BACKGROUND: The subcortical small vessel type of dementia (SSVD) is a common subtype of vascular dementia, but there is a lack of disease-specific cerebrospinal fluid (CSF) biomarkers. OBJECTIVE: We investigated whether CSF concentrations of neurofilament light chain (NFL), soluble amyloid-ß protein precursor α (sAßPPα), sAßPPß, and CSF/serum albumin ratio could separate SSVD from healthy controls, Alzheimer's disease (AD), and mixed dementia (combined AD and SSVD). METHODS: This was a mono-center study of patients with SSVD (n = 38), AD (n = 121), mixed dementia (n = 62), and controls (n = 96). The CSF biomarkers were measured using immunoassays, and their independent contribution to the separation between groups were evaluated using the Wald test. Then, the area under the receiver operating characteristics curve (AUROC) and 95% confidence intervals (CIs) were calculated. RESULTS: Elevated neurofilament light chain (NFL) and decreased sAßPPß independently separated SSVD from controls, and sAßPPß also distinguished SSVD from AD and mixed dementia. The combination of NFL and sAßPPß discriminated SSVD from controls with high accuracy (AUROC 0.903, 95% CI: 0.834-0.972). Additionally, sAßPPß combined with the core AD biomarkers (amyloid-ß42, total tau, and phosphorylated tau181) had a high ability to separate SSVD from AD (AUROC 0.886, 95% CI: 0.830-0.942) and mixed dementia (AUROC 0.903, 95% CI: 0.838-0.968). CONCLUSIONS: The high accuracy of NFL and sAßPPß to separate SSVD from controls supports that SSVD is a specific diagnostic entity. Moreover, SSVD was distinguished from AD and mixed dementia using sAßPPß in combination with the core AD biomarkers.

Regional lithium prescription rates and recurrence in bipolar disorder.

BACKGROUND: Lithium is the best documented maintenance treatment in bipolar disorder, but its use varies considerably across and within countries. It is not known whether regional differences in lithium prescription rates translate to differing regional outcomes. AIMS: To estimate associations between county specific lithium prescription rates and county specific recurrence odds of bipolar disorder in Sweden. METHOD: Data from 14,616 patients with bipolar I disorder, bipolar II disorder, or bipolar disorder not otherwise specified were extracted from the Swedish national quality assurance register for bipolar disorders (BipoläR). Lithium prescription frequencies were calculated for 21 counties. Logistic regression analyses were run adjusted for confounders, with any type of recurrence as primary outcome, and incident elated and depressive episodes as secondary outcomes. Subsets of patients with bipolar I, II and not otherwise specified disorder were also analysed separately. RESULTS: Lithium prescription rates for populations with all bipolar subtypes ranged across counties from 37.7 to 84.9% (mean 52.4%). Higher regional prescription rates were significantly associated with lower rate of any type of recurrence. The association was stronger when bipolar I disorder was analysed separately. CONCLUSIONS: The advantages for lithium use long acknowledged for bipolar I disorder are also seen for the rest of the bipolar spectrum. Results suggest that population level outcomes of bipolar disorder could be improved by increasing the number of patients using lithium.

The five-items memory screen-extended variant: A tool for assessing memory.

BACKGROUND AND PURPOSE: The detection of memory impairment is an important part of dementia screening. However, the scope of memory measures in current screening batteries is limited. There is a need for a short yet sensitive instrument for early detection of memory impairment that could serve as a complement to existing globally oriented screening tests, for example, Mini-Mental State Examination (MMSE). To that end, the current study investigates the sensitivity and psychometric properties of the memory screening instrument The Five-Items Memory Screen -Extended Variant (FIMS-XV). METHODS: Hundred and forty-five participants included in the Gothenburg Mild Cognitive Impairment Study-27 patients with subjective cognitive impairment (SCI), 73 with mild cognitive impairment (MCI), and 45 with mild dementia-underwent cognitive screening including the MMSE and FIMS-XV. Ninety participants also underwent extensive neuropsychological testing. RESULTS: The FIMS-XV showed high internal consistency and strong correlations with established neuropsychological memory tests. Both the FIMS-XVdelayed recall score and the FIMS-XV total score differentiated mild dementia patients from patients with SCI and MCI. CONCLUSIONS: The FIMS-XV shows promise as a sensitive tool for screening for memory impairment in all putative phases of dementia.

Characteristic Biomarker and Cognitive Profile in Incipient Mixed Dementia.

BACKGROUND: Research has shown that mixed dementia is more common than previously believed but little is known of its early stages. OBJECTIVE: To examine if incipient mixed dementia can be differentiated from incipient Alzheimer's disease (AD) and subcortical ischemic vascular dementia (SVD) using neuropsychological tests, cerebrospinal fluid (CSF) markers, and magnetic resonance imaging markers. METHODS: We included 493 patients and controls from the Gothenburg MCI study and used the dementia groups for marker selection (CSF total-tau (T-tau), phospho-tau (P-tau), and amyloid-ß42 (Aß42), 11 neuropsychological tests, and 92 regional brain volumes) and to obtain cut-off values which were then applied to the MCI groups. RESULTS: Incipient mixed dementia was best differentiated from incipient AD by the Word fluency F-A-S test and the Trail making test A. CSF T-tau, P-tau, and Aß42 differentiated incipient mixed dementia from incipient SVD. CONCLUSION: Incipient mixed dementia is characterized by an AD-like biomarker profile and an SVD-like cognitive profile. Incipient mixed dementia can be separated from incipient AD and incipient SVD using CSF markers and cognitive testing.

Latent Cognitive Profiles Differ Between Incipient Alzheimer's Disease and Dementia with Subcortical Vascular Lesions in a Memory Clinic Population.

BACKGROUND: It is unclear if latent cognitive profiles can distinguish between dementia with subcortical vascular lesions and Alzheimer's disease (AD) at the incipient stage, and if they differ in performance from the Petersen subtypes. OBJECTIVE: To identify latent cognitive profiles in a naturalistic population of patients from a memory clinic sample, and investigate the derived classes not only in terms of conversion to AD, but also in terms of conversion to dementia with subcortical vascular lesions. Another objective was to compare the derived classes to the Petersen subtypes. METHODS: We performed a latent profile analysis (LPA) on standardized neuropsychological test scores from 476 memory clinic patients (age 64±8) without dementia, and analyzed progression to dementia after 2 years. RESULTS: The LPA resulted in two classes with impaired cognition (Amnestic and Slow/Dysexecutive) and two classes with normal cognition (Normal-Low and Normal-High cognition). Belonging to the Amnestic class predicted progression to all-cause dementia and to AD; belonging to the Slow/Dysexecutive class predicted progression to all-cause dementia, AD, and dementia with subcortical vascular lesions. Of the Petersen MCI subtypes, only amnestic multi-domain MCI predicted progression to all-cause dementia, AD, and dementia with subcortical vascular lesions. CONCLUSION: Latent cognitive profiles separated between AD and dementia with subcortical vascular lesions, while the Petersen subtypes did not. However, similar to the Petersen subtypes, LPA classes work better for ruling out progression to dementia than for case finding.

Better prognostic accuracy in younger mild cognitive impairment patients with more years of education.

INTRODUCTION: Age and years of education influence the risk of dementia and may impact the prognostic accuracy of mild cognitive impairment subtypes. METHODS: Memory clinic patients without dementia (N = 358, age 64.0 ± 7.9) were stratified into four groups based on years of age (≤64 and ≥65) and education (≤12 and ≥13), examined with a neuropsychological test battery at baseline and followed up after 2 years. RESULTS: The prognostic accuracy of amnestic multi-domain mild cognitive impairment for dementia was highest in younger patients with more years of education and lowest in older patients with fewer years of education. Conversely, conversion rates to dementia were lowest in younger patients with more years of education and highest in older patients with fewer years of education. DISCUSSION: Mild cognitive impairment subtypes and demographic information should be combined to increase the accuracy of prognoses for dementia.

Similar pattern of atrophy in early- and late-onset Alzheimer's disease.

INTRODUCTION: Previous research on structural changes in early-onset Alzheimer's disease (EOAD) and late-onset Alzheimer's disease (LOAD) have reported inconsistent findings. METHODS: In the present substudy of the Gothenburg MCI study, 1.5 T scans were used to estimate lobar and hippocampal volumes using FreeSurfer. Study participants (N = 145) included 63 patients with AD, (24 patients with EOAD [aged ≤65 years], 39 patients with LOAD [aged >65 years]), 25 healthy controls aged ≤65 years, and 57 healthy controls aged >65 years. RESULTS: Hippocampal atrophy is the most prominent feature of both EOAD and LOAD compared with controls. Direct comparison between EOAD and LOAD showed that the differences between the groups did not remain after correcting for age. DISCUSSION: Structurally, EOAD and LOAD does not seem to be different nosological entities. The difference in brain volumes between the groups compared with controls is likely due to age-related atrophy.

Longitudinal evaluation of criteria for subjective cognitive decline and preclinical Alzheimer's disease in a memory clinic sample.

INTRODUCTION: Subjective cognitive decline (SCD) and biomarker-based "at-risk" concepts such as "preclinical" Alzheimer's disease (AD) have been developed to predict AD dementia before objective cognitive impairment is detectable. We longitudinally evaluated cognitive outcome when using these classifications. METHODS: Memory clinic patients (n = 235) were classified as SCD (n = 122): subtle cognitive decline (n = 36) and mild cognitive impairment (n = 77) and subsequently subclassified into SCDplus and National Institute on Aging-Alzheimer's Association (NIA-AA) stages 0 to 3. Mean (standard deviation) follow-up time was 48 (35) months. Proportion declining cognitively and prognostic accuracy for cognitive decline was calculated for all classifications. RESULTS: Among SCDplus patients, 43% to 48% declined cognitively. Among NIA-AA stage 1 to 3 patients, 50% to 100% declined cognitively. The highest positive likelihood ratios (+LRs) for subsequent cognitive decline (+LR 6.3), dementia (+LR 3.4), and AD dementia (+LR 6.5) were found for NIA-AA stage 2. DISCUSSION: In a memory clinic setting, NIA-AA stage 2 seems to be the most successful classification in predicting objective cognitive decline, dementia, and AD dementia.

Prognostic Accuracy of Mild Cognitive Impairment Subtypes at Different Cut-Off Levels.

BACKGROUND/AIMS: The prognostic accuracy of mild cognitive impairment (MCI) in clinical settings is debated, variable across criteria, cut-offs, subtypes, and follow-up time. We aimed to estimate the prognostic accuracy of MCI and the MCI subtypes for dementia using three different cut-off levels. METHODS: Memory clinic patients were followed for 2 (n = 317, age 63.7 ± 7.8) and 4-6 (n = 168, age 62.6 ± 7.4) years. We used 2.0, 1.5, and 1.0 standard deviations (SD) below the mean of normal controls (n = 120, age 64.1 ± 6.6) to categorize MCI and the MCI subtypes. Prognostic accuracy for dementia syndrome at follow-up was estimated. RESULTS: Amnestic multi-domain MCI (aMCI-md) significantly predicted dementia under all conditions, most markedly when speed/attention, language, or executive function was impaired alongside memory. For aMCI-md, sensitivity increased and specificity decreased when the cut-off was lowered from 2.0 to 1.5 and 1.0 SD. Non-subtyped MCI had a high sensitivity and a low specificity. CONCLUSION: Our results suggest that aMCI-md is the only viable subtype for predicting dementia for both follow-up times. Lowering the cut-off decreases the positive predictive value and increases the negative predictive value of aMCI-md. The results are important for understanding the clinical prognostic utility of MCI, and MCI as a non-progressive disorder.

High Prevalence of Stress and Low Prevalence of Alzheimer Disease CSF Biomarkers in a Clinical Sample with Subjective Cognitive Impairment.

BACKGROUND/AIMS: Subjective cognitive impairment (SCI) is a trigger for seeking health care in a possible preclinical phase of Alzheimer's disease (AD), although the characteristics of SCI need clarification. We investigated the prevalence of psychosocial stress, depressive symptoms and CSF AD biomarkers in SCI and MCI (mild cognitive impairment). METHODS: Memory clinic patients (SCI: n = 90; age: 59.8 ± 7.6 years; MCI: n = 160; age: 63.7 ± 7.0 years) included in the Gothenburg MCI study were examined at baseline. Variables were analyzed using logistic regression with SCI as dependent variable. RESULTS: Stress was more prevalent in SCI (51.1%) than MCI (23.1%); p < 0.0005. SCI patients had more previous depressive symptoms (p = 0.006), but showed no difference compared to MCI patients considering current depressive symptoms. A positive CSF AD profile was present in 14.4% of SCI patients and 35.0% of MCI patients (p = 0.001). Stress (p = 0.002), previous stress/depressive symptoms (p = 0.006) and a negative CSF AD profile (p = 0.036) predicted allocation to the SCI group. CONCLUSION: Psychosocial stress is more prevalent in SCI than previously acknowledged. The high prevalence and long-term occurrence of stress/depressive symptoms in SCI in combination with a low prevalence of altered CSF AD biomarkers strengthens the notion that AD is not the most likely etiology of SCI.

Polymorphisms of BDNF and CACNA1C are not associated with cognitive functioning in bipolar disorder or healthy controls.

INTRODUCTION: The cause of cognitive dysfunction in bipolar disorder (BD) is not well understood. BDNF and CACNA1C are two susceptibility genes for the disorder that have also been reported to be associated with cognitive deficits in the disorder, but the studies have been small and with conflicting results. We therefore attempted to replicate an association between cognitive dysfunction with the most commonly studied single nucleotide polymorphisms rs6265 and rs1006737. METHODS: Regression models with five aggregated cognitive domains derived from a comprehensive test battery and IQ score were run using directly genotyped risk variants of SNPs rs6265 and rs1006737 as predictors with covariates as appropriate. Models were performed in a clinical sample of Swedish patients with BD (N = 114) and sex- and age-matched population controls (N = 104). RESULTS: No significant associations (regardless of correction for multiple testing) between the BDNF and CACNA1C risk variants and cognitive functioning were found in either patients or controls. CONCLUSIONS: Our results do not support that the common genetic risk variants in rs6265 and rs1006737 are associated with cognitive dysfunction.

Alzheimer's disease--subcortical vascular disease spectrum in a hospital-based setting: Overview of results from the Gothenburg MCI and dementia studies.

The ability to discriminate between Alzheimer's disease (AD), subcortical vascular disease, and other cognitive disorders is crucial for diagnostic purposes and clinical trial outcomes. Patients with primarily subcortical vascular disease are unlikely to benefit from treatments targeting the AD pathogenic mechanisms and vice versa. The Gothenburg mild cognitive impairment (MCI) and dementia studies are prospective, observational, single-center cohort studies suitable for both cross-sectional and longitudinal analysis that outline the cognitive profiles and biomarker characteristics of patients with AD, subcortical vascular disease, and other cognitive disorders. The studies, the first of which started in 1987, comprise inpatients with manifest dementia and patients seeking care for cognitive disorders at an outpatient memory clinic. This article gives an overview of the major published papers (neuropsychological, imaging/physiology, and neurochemical) of the studies including the ongoing Gothenburg MCI study. The main findings suggest that subcortical vascular disease with or without dementia exhibit a characteristic neuropsychological pattern of mental slowness and executive dysfunction and neurochemical deviations typical of white matter changes and disturbed blood-brain barrier function. Our findings may contribute to better healthcare for this underrecognized group of patients. The Gothenburg MCI study has also published papers on multimodal prediction of dementia, and cognitive reserve.

The Gothenburg MCI study: Design and distribution of Alzheimer's disease and subcortical vascular disease diagnoses from baseline to 6-year follow-up.

There is a need for increased nosological knowledge to enable rational trials in Alzheimer's disease (AD) and related disorders. The ongoing Gothenburg mild cognitive impairment (MCI) study is an attempt to conduct longitudinal in-depth phenotyping of patients with different forms and degrees of cognitive impairment using neuropsychological, neuroimaging, and neurochemical tools. Particular attention is paid to the interplay between AD and subcortical vascular disease, the latter representing a disease entity that may cause or contribute to cognitive impairment with an effect size that may be comparable to AD. Of 664 patients enrolled between 1999 and 2013, 195 were diagnosed with subjective cognitive impairment (SCI), 274 with mild cognitive impairment (MCI), and 195 with dementia, at baseline. Of the 195 (29%) patients with dementia at baseline, 81 (42%) had AD, 27 (14%) SVD, 41 (21%) mixed type dementia (=AD + SVD = MixD), and 46 (23%) other etiologies. After 6 years, 292 SCI/MCI patients were eligible for follow-up. Of these 292, 69 (24%) had converted to dementia (29 (42%) AD, 16 (23%) SVD, 15 (22%) MixD, 9 (13%) other etiologies). The study has shown that it is possible to identify not only AD but also incipient and manifest MixD/SVD in a memory clinic setting. These conditions should be taken into account in clinical trials.

Polymorphisms of dopamine pathway genes NRG1 and LMX1A are associated with cognitive performance in bipolar disorder.

OBJECTIVES: LIM homeobox transcription factor 1, alpha (LMX1A) and neuregulin 1 (NRG1) are susceptibility genes for schizophrenia that have been implicated in the dopaminergic pathway and have been associated with altered cognitive functioning. We hypothesized that single nucleotide polymorphisms (SNPs) in LMX1A and NRG1 would be associated with cognitive functioning in bipolar disorder. METHODS: In total, four SNPs were directly genotyped. Regression models with five aggregated cognitive domains and intelligence quotient (IQ) score were run using risk variants of LMX1A (rs11809911, rs4657412, rs6668493) and NRG1 (rs35753505) as predictors. Models were performed in a clinical sample of patients with bipolar disorder (n = 114) and healthy controls (n = 104). RESULTS: The risk variants of the rs11809911 SNP in LMX1A were negatively associated with IQ score and memory/learning, whereas the risk variants of rs35753505 in NRG1 were positively associated with IQ score (adjusted R(2) = 0.17, Q = 0.006) and memory/learning (adjusted R(2) = 0.24, Q = 0.001). The risk variants of the rs35753505 SNP in NRG1 were positively associated with language (adjusted R(2) = 0.11, Q = 0.006), visuospatial functions (adjusted R(2) = 0.23, Q = 0.001), and attention/speed (adjusted R(2) = 0.25, Q = 0.001). Results could not be replicated in controls. CONCLUSIONS: The risk variants of the rs35753505 SNP were associated with increased performance in several cognitive domains and IQ, whereas the risk variants of the rs11809911 SNP in LMX1A was associated with reduced IQ and memory/learning.

CSF neuroinflammatory biomarkers in bipolar disorder are associated with cognitive impairment.

Persistent cognitive impairment in the euthymic state of bipolar disorder is increasingly recognized. Mounting evidence also suggests an association between neuroinflammation and cognitive dysfunction. The purpose of this study was to test if cerebrospinal fluid (CSF) markers of neuroinflammation could account for cognitive impairment in bipolar disorder. Hierarchical linear regression models were applied to account for performance in five cognitive domains using CSF neuroinflammatory biomarkers as predictors in patients with bipolar disorder type I and II (N=78). The associations between these biomarkers and cognition were further tested in healthy age- and sex-matched controls (N=86). In patients with bipolar disorder, the CSF biomarkers accounted for a significant proportion of the variance in executive functions (42.8%, p=<.0005) independently of age, medication, disease status, and bipolar subtype. The microglial marker YKL-40 had a high impact (beta=-.99), and was the only biomarker that contributed individually. CSF biomarkers were not associated with cognitive performance in healthy controls. The CSF neuroinflammation biomarker YKL-40 is associated with executive performance in euthymic bipolar disorder, but not in healthy controls.

Cognitive performance and cerebrospinal fluid biomarkers of neurodegeneration: a study of patients with bipolar disorder and healthy controls.

The purpose of the present study was to investigate if cerebrospinal fluid (CSF) biomarkers of neurodegeneration are associated with cognition in bipolar disorder and healthy controls, respectively. CSF concentrations of total and phosphorylated tau, amyloid beta (Aß)1-42, ratios of Aß42/40 and Aß42/38, soluble amyloid precursor protein α and ß, and neurofilament light chain protein were analyzed in relation to neuropsychological performance in 82 euthymic bipolar disorder patients and 71 healthy controls. Linear regression models were applied to account for performance in five cognitive domains using the CSF biomarkers. In patients, the CSF biomarkers explained a significant proportion of the variance (15-36%, p=.002 - <.0005) in all cognitive domains independently of age, medication, disease status, and bipolar subtype I or II. However, the CSF biomarkers specifically mirroring Alzheimer-type brain changes, i.e., P-tau and Aß1-42, did not contribute significantly. In healthy controls, CSF biomarkers did not explain the variance in cognitive performance. Selected CSF biomarkers of neurodegenerative processes accounted for cognitive performance in persons with bipolar disorder, but not for healthy controls. Specifically, the ratios of Aß42/40 and Aß42/38 were consistently associated with altered cognitive performance.

Differential Impact of Neurofilament Light Subunit on Cognition and Functional Outcome in Memory Clinic Patients with and without Vascular Burden.

The neurofilament light (NF-L) subunit is mainly expressed in large-caliber myelinated axons, and elevated concentrations in the cerebrospinal fluid (CSF) are correlated with damage to white matter and subcortical regions. Because the correlation between NF-L and cognition and functional impairment is largely unknown, we investigated associations in patients (n = 622) with (n = 199) and without (n = 423) vascular burden in subjective cognitive impairment (SCI, n = 168), mild cognitive impairment (MCI, n = 261), and dementia (n = 193). Patients were staged according to disease severity and the presence/absence of cerebrovascular disease. CSF amyloid-ß(1-42) (Aß(1-42)) was included in all models due to its concomitant influence on vascular and primary etiology. Linear regression was used to assess associations between NF-L and Aß(1-42) and five cognitive domains of a comprehensive neuropsychological battery as well as with functional impairment using the Clinical Dementia Rating. Changes in these outcomes at the 2-year follow-up were also evaluated. In SCI and MCI patients with vascular burden, higher NF-L concentrations were associated with baseline cognitive performance (ß = -0.38 to -0.58) and executive decline (ß = -0.44). Lower Aß(1-42) levels were associated with worse cognitive performance in dementia (ß = 0.46 to 0.51). In MCI and dementia patients without vascular burden, higher NF-L (ß = -0.30 to -0.34) and lower Aß(1-42) concentrations (ß = 0.30) were associated with reduced cognitive performance. Higher NF-L concentrations (ß = -0.26) were associated with functional decline in patients with vascular burden. CSF NF-L is associated with cognition in patients with and without vascular etiology. These associations were greater in pre-dementia phases in those with vascular etiology and vice versa in those without vascular burden.

Cerebrospinal fluid biomarkers mirror rate of cognitive decline.

The ability to predict future decline in cognitive systems using the cerebrospinal fluid (CSF) biomarkers 42 amino acid form of amyloid-ß (Aß42) and total tau (T-tau) is not fully understood. In a clinical sample ranging from cognitively healthy to dementia (n = 326), linear regression models were performed in order to investigate the ability of CSF biomarkers to predict cognitive decline in all cognitive domains from baseline to 2-year follow-up. Gender, age, and years of education were included as covariates. In patients with subjective cognitive impairment, T-tau had a small impact on executive functions (r2 = 0.07). T-tau had a small to moderate influence (r2 = 0.06-0.11) on all cognitive functions with the exception of visuospatial functions in patients with mild cognitive impairment (MCI). In patients with dementia, the impact of T-tau was large (r2 = 0.29) on semantic memory. Aß42 had a small effect (r2 = 0.07) on speed and executive functions in MCI. In patients with dementia, Aß42 had a moderate influence (r2 = 0.13-0.24) on semantic and verbal working memory/fluency. Our results speak in favor of the notion that CSF biomarkers reflect the rate of cognitive decline across the continuum of cognitive impairment from healthy to dementia. CSF predicted subsequent decline in more cognitive domains among MCI cases, but the impact was most pronounced in patients with dementia.

Sahlgrenska Academy Self-reported Cognitive Impairment Questionnaire (SASCI-Q)--a research tool discriminating between subjectively cognitively impaired patients and healthy controls.

BACKGROUND: Subjective cognitive impairment (SCI) is a potential early marker for actual cognitive decline. The cognitive manifestation of the SCI stage is, however, largely unknown. Self-report instruments developed especially for use in the SCI population are lacking, and many SCI studies have not excluded mild cognitive impairment and dementia. We developed and tested a patient-based questionnaire on everyday cognitive function aiming to discriminate between patients with subjective, but not objective, cognitive impairment and healthy controls. METHODS: Individuals experiencing cognitive impairment were interviewed to generate a pool of items. After condensing to 97 items, we tested the questionnaire in 93 SCI patients seeking care at a memory clinic (age M = 64.5 years, Mini-Mental State Examination (MMSE) M = 29.0) and 50 healthy controls (age M = 69.6 years, MMSE M = 29.3). Further item reduction was conducted to maximize that remaining items would discriminate between SCI patients and controls, using a conservative α level and requiring medium to high effect sizes. Internal consistency reliability and convergent validity was subsequently examined. RESULTS: Forty-five items discriminated between the groups, resulting in the Sahlgrenska Academy Self-reported Cognitive Impairment Questionnaire (SASCI-Q). Internal consistency was high and correlations to a single question on memory functioning were of medium to large sizes. Most remaining items were related to the memory domain. CONCLUSION: The SASCI-Q discriminates between SCI patients and healthy controls and demonstrates satisfying psychometric properties. The instrument provides a research method for examining SCI and forms a foundation for future examining which SCI symptoms predict objective cognitive decline. The cognitive manifestation of the SCI stage is mostly related to experiences of memory deficits.

All cognitive systems but speed and visuospatial functions reduce the effect of CSF pathology on other systems.

The concept of reserve can be conceived as differences in the ability to compensate for pathology by recruiting additional or alternative networks. The purpose of this study was to examine whether certain cognitive systems may compensate for the effect of CSF amyloid beta 42 (Aß42) and total tau (T-tau) on other cognitive systems. Five hundred and nine participants underwent neuropsychological examination and lumbar puncture. Multiple regression was performed with interaction terms to test whether a cognitive system reduced the impact of CSF pathology on other systems. All cognitive systems except speed and visuospatial functions were associated with reduced effects of T-tau and Aß42 on semantic memory, working memory and visuospatial abilities. The burden of Aß42 was reduced more often than that of T-tau. Our results suggest that most cognitive systems may be beneficial to maintenance of cognitive performance despite CSF burden. The results support the notion of cognitive reserve.