Cognitive impairment in cerebellar lesions: a logit model based on neuropsychological testing.
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ABSTRACT:
SUBMITTER: Bolcekova E
PROVIDER: S-EPMC5534033 | biostudies-other | 2017
REPOSITORIES: biostudies-other
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Project description:BackgroundCerebellar lesions are often reported in relapsing-remitting multiple sclerosis (RRMS) and have been associated with impaired motor function and cognitive status. However, prior research has primarily focused on summary measures of cerebellar involvement (e.g. total lesion load, gray/white matter volume) and not on the effect of lesion load within specific regions of cerebellar white matter.ObjectiveSpatially map the probability of cerebellar white matter lesion (CWML) occurrence in RRMS and explore the relationship between cognitive impairment and lesion (CWML) location within the cerebellum.MethodsHigh-resolution structural magnetic resonance imaging (MRI) was acquired on 16 cognitively impaired (CI) and 15 cognitively preserved (CP) RRMS subjects at 3T and used for lesion identification and voxel-based lesion-symptom mapping (VLSM).ResultsCI RRMS demonstrated a predilection for the middle cerebellar peduncle (MCP). VLSM results indicate that lesions of the MCP are significantly associated with CI in RRMS. Measures of cerebellar lesion load were correlated with age at disease onset but not disease duration.ConclusionA specific pattern of cerebellar lesions involving the MCP, rather than the total CWML load, contributes to cognitive dysfunction in RRMS. Cerebellar lesion profiles may provide a biomarker of current or evolving risk for cognitive status change in RRMS.
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Project description:ObjectivesThe primary objective of the current study is to describe the prevalence and profile of cognitive domains affected in older adults with hematological malignancies evaluated for hematopoietic cell transplantation (HCT) using the Montreal Cognitive Assessment (MoCA) and neuropsychological tests. The secondary objective is to determine if a specific MoCA cut-off score would correlate with the identification of cognitive impairment detected by neuropsychological tests. This would facilitate interpretation of cognitive screening and referral of patients who would likely need further neuropsychological testing.Materials and methodsFifty-one patients 60 years and older who were evaluated for HCT were assessed using a battery of standardized neuropsychological tests and MoCA. We analyzed Receiver Operating Characteristics (ROC) comparing MoCA scores and four different neuropsychological test criteria for cognitive impairment.ResultsThe prevalence of cognitive impairment detected by neuropsychological tests was 53 to 70.6% using the criteria for patients with cancer by the International Cancer Cognition Task Force (ICCTF). The following cognitive domains were most affected: language, learning and memory, visuospatial skills, and executive function. MoCA is an appropriate screening test for cognitive impairment. Using the ICCTF criteria, 86 to 100% of patients are correctly classified as having significant cognitive impairment on neuropsychological tests using a cut-off score of 20 or less.ConclusionThere is a high prevalence of cognitive impairment identified by neuropsychological tests in older patients with hematological malignancies evaluated for HCT. Identification of an appropriate MoCA cut-off score in this population is important to identify patients who would benefit from further assessment.
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Project description:Mild cognitive impairment (MCI) is associated with an increased risk of developing dementia. This is clinically relevant overt dementia can be prevented if treatment strategies are devised for MCI. Neuropsychological deficits in this condition are very common and are important clinically for treatment and outcomes. We aimed to review various neuropsychological deficits in MCI. Further, we have presented the current evidence for nosological status, neuroanatomical basis, and clinical outcome of this heterogeneous construct. All published papers on the topic of neuropsychological deficits in MCI on Medline and other databases were reviewed. A wide range of memory and executive function deficits are common in MCI patients. However, several studies are limited by either improper designs or inadequate sample sizes. Several neuropsychological impairments like memory function and executive functions can be diagnosed in MCI. The evidence base for the exact neuroanatomical basis of MCI is not robust yet. However, given the wide range of outcomes, controversies and debates exist regarding the nosological significance of the deficits. Hence, more studies are needed to specifically locate the impairments and further delineate the construct of MCI.
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Project description:Introduction:An extensive battery of neuropsychological tests is currently used to classify individuals as healthy (HV), mild cognitively impaired (MCI), and with Alzheimer's disease (AD). We used machine learning models for effective cognitive impairment classification and optimized the number of tests for expeditious and inexpensive implementation. Methods:Using random forests (RF) and support vector machine, we classified cognitive impairment in multi-class data sets from Rush Religious Orders Study Memory and Aging Project, and National Alzheimer's Coordinating Center. We applied Fischer's linear discrimination and assessed importance of each test iteratively for feature selection. Results:RF has best accuracy with increased sensitivity, specificity in this first ever multi-class classification of HV, MCI, and AD. Moreover, a subset of six to eight tests shows equivalent classification accuracy as an entire battery of tests. Discussions:Fully automated feature selection approach reveals six to eight tests comprising episodic, semantic memory, perceptual orientation, and executive functioning can accurately classify the cognitive status, ensuring minimal subject burden.
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Project description:To examine the ability of the Mini Mental Status Examination (MMSE) and Montreal Cognitive Assessment (MoCA) to detect cognitive impairment in persons with heart failure (HF).Although the MMSE and MoCA are commonly used screeners in HF, no research team has validated their performance against neuropsychological testing.Participants were 106 patients with HF (49.1% male, 68.13 ± 9.82 years) who completed the MoCA, MMSE, and a full neuropsychological battery. Sensitivity and specificity were examined. Discriminant function analyses tested whether the screeners correctly detected cognitive impairment.A MoCA score <25 and MMSE score of <28 yielded optimal sensitivity/specificity (.64/.66 and .70/.66, respectively). The MoCA correctly classified 65% of patients, Wilk's lambda = .91, ?(2)(1) = 9.89, p < .01, and the MMSE correctly classified 68%, Wilk's lambda = .87, ?(2)(1) = 14.26, p < .001.In HF, both the MoCA and MMSE are useful in identifying the majority of patients with and without cognitive impairment. Both tests misclassified approximately one-third of patients, so continued monitoring and evaluation of patients is needed in conjunction with screening.
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Project description:The spectrin repeat-containing nuclear envelope protein 1 (SYNE1) gene encodes a family of spectrin structural proteins that are associated with anchoring the plasma membrane to the actin cytoskeleton. SYNE1-related disease is most commonly reported in autosomal recessive spinocerebellar ataxia 8, which demonstrates variable age of onset with a median of 30 years of age. However pathogenic mutations in SYNE1 are also causative of arthrogryposis multiplex congenital, a severe congenital neuromuscular condition. Here in we report monozygous twins with childhood onset ataxia, cerebellar hypoplasia, dysarthria, and cognitive impairment sharing two novel heterozygous mutations in the SYNE1 gene. Our family may expand the clinical phenotype associated with SYNE1-related disease and offers possible genotype-phenotype correlations of a rare continuum of clinical disease phenotypes from neonatal to adult onset.
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Project description:OBJECTIVES:Early diagnosis of cognitive impairment is increasingly emphasized in the literature to facilitate timely preventive interventions. Although bedside cognitive tests such as the Montreal Cognitive Assessment (MoCA) are widely used for such early diagnostic purposes, they may not have comparable performance to a full neuropsychological battery (FNB) in diagnosing early cognitive impairment. This study investigated whether a small subset of neuropsychological tests can be added on to MoCA to match its performance to that of the FNB in discriminating mild cognitive impairment and dementia (MCI/dementia) from normal cognition. DESIGN:Cross-sectional diagnostic study. SETTING:Alzheimer's Disease Centers across the United States. PARTICIPANTS:Older participants (?50 years) who completed MoCA and the FNB (N = 9187). MEASURES:The study sample was split into two: the derivation sample (n = 1837) was used to develop a brief neuropsychological battery that best discriminated MCI/dementia (using the best-subset approach with 10-fold cross-validation); while the validation sample (n = 7350) verified its actual performance in discriminating MCI/dementia. RESULTS:A 3-item neuropsychological battery was identified, comprising MoCA, Benson Complex Figure Recall, and Craft Story 21 Delayed Recall. It had excellent performance in discriminating MCI/dementia from normal cognition (area under the receiver operating characteristic curve [AUROC] 90.0%, 95% confidence interval [CI] 89.2%-90.7%), which was comparable to that of the FNB (AUROC 88.4%, 95% CI 87.6%-89.2%). By contrast, MoCA alone had significantly worse AUROC (86.9%, 95% CI 86.0%-87.7%) than that of the FNB. CONCLUSIONS/IMPLICATIONS:Using rigorous methods, this study developed a brief neuropsychological battery that maintained the brevity of a bedside cognitive test, while rivaling the diagnostic performance of an FNB in early cognitive impairment. This brief battery offers a viable alternative when the FNB is needed but cannot be feasibly administered in nonspecialty clinics. It can have a wider health systems effect of improving patients' access to accurate diagnosis in early cognitive impairment and facilitating timely interventions to delay the progression of cognitive impairment.
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Project description:IntroductionSome Alzheimer's disease biomarker studies found amyloid changes 20 years or more in advance of expected symptoms, while cognitive changes lagged for more than a decade, but this apparent lag might reflect the sensitivities of the biomarker and cognitive assays used. How far in advance of incident amnestic mild cognitive impairment (MCI) does cognition begin to decline?MethodsLongitudinal neuropsychological study of an apolipoprotein E e4 enriched cohort of cognitively normal individuals at entry. Linear mixed models for MCI converters (n = 65) and nonconverters (n = 719) fitted for each neuropsychological measure; annual changes compared between groups before and after linear model intersections (inflection points).Results34 of 35 cognitive measures and 9 of 18 behavioral measures declined faster post-inflection in the MCI converters; the earliest cognitive inflection point was nearly 20 years in advance of MCI diagnosis.DiscussionThe preclinical duration of cognitive and behavioral changes approaches the earliest reported biomarker changes.
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Project description:ObjectiveTo evaluate lesion location after pediatric cerebellar tumor resection in relation to the development of severe cognitive and affective disturbances, or cerebellar cognitive affective syndrome (CCAS).MethodsThe postsurgical lesion location of 195 pediatric patients with cerebellar tumors was mapped onto a template brain. Individuals with CCAS were matched to 2 participants without CCAS by sex, age, and lesion volume. Lesion analyses included both a hypothesis-driven evaluation of the cerebellar outflow pathway (deep nuclei and superior cerebellar peduncles) and data-driven multivariate lesion symptom mapping. Lesion-associated networks were evaluated by comparing connectivity patterns between the lesion location of cases with and those without CCAS with resting-state functional connectivity MRI data from large normative adult and pediatric cohorts.ResultsCCAS was present in 48 of 195 participants (24.6%) and was strongly associated with cerebellar outflow tract lesions (p < 0.0001). Lesion symptom mapping also highlighted the cerebellar outflow pathway, with peak findings in the fastigial nuclei extending into the inferior vermis. Lesion network mapping revealed that the cerebellar region most associated with CCAS was functionally connected to the thalamic mediodorsal nucleus, among other sites, and that higher connectivity between lesion location and the mediodorsal nucleus predicts CCAS occurrence (p < 0.01). A secondary analysis of 27 participants with mutism revealed similar localization of lesions and lesion-associated networks.ConclusionLesions of the cerebellar outflow pathway and inferior vermis are associated with major cognitive and affective disturbances after pediatric cerebellar tumor resection, and disrupted communication between the cerebellum and the thalamic mediodorsal nucleus may be important.
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Project description:Objective: Latinx populations are rapidly growing and aging in the United States. There is a critical need to accurately and efficiently detect those at risk for dementia, particularly those with mild cognitive impairment (MCI). MCI diagnosis often relies on neuropsychological assessment, although cultural, demographic, and linguistic characteristics may impact test scores. This study provides a scoping review of neuropsychological studies on MCI in Hispanic/Latinx populations to evaluate how studies report and account for these factors in diagnosis of MCI. Method: Studies were identified using Web of Science, PubMed, and Scopus, using search terms (Hispanic* OR Latin* OR "Mexican American*" OR "Puerto Ric*" OR Caribbean) and ("Mild Cognitive Impairment" OR MCI). Studies using neuropsychological tests in diagnosis of MCI for Latinx individuals in the United States were identified. Sample characterization (e.g., country of origin, literacy, language preference and proficiency), neuropsychological testing methods (e.g., test selection and translation, normative data source), and method of MCI diagnosis were reviewed. Results: Forty-four articles met inclusion criteria. There was considerable variability in reporting of demographic, cultural and linguistic factors across studies of MCI in Latinx individuals. For example, only 5% of studies reported nativity status, 52% reported information on language preference and use, and 34% reported the method and/or source of test translation and adaptation. Conclusions: Future studies of diagnosis of MCI in Latinx individuals should report cultural details and use of appropriate neuropsychological assessment tools and normative data. This is important to accurately estimate the prevalence of MCI in Latinx individuals. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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