scholarly journals Cognitive performance along the migraine cycle: A negative exploratory study

2020 ◽  
Vol 3 ◽  
pp. 251581632095113
Author(s):  
Maria Ana Quadros ◽  
Marta Granadeiro ◽  
Amparo Ruiz-Tagle ◽  
Carolina Maruta ◽  
Raquel Gil-Gouveia ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Processing Speed ◽  
Test Performance ◽  
Episodic Migraine ◽  
Individual Variability ◽  
Control Performance ◽  
Set Shifting ◽  
Attack Frequency ◽  
Cognitive Difficulties ◽  
Z Scores

Migraine patients frequently report cognitive difficulties in the proximity and during migraine attacks. We performed an exploratory comparison of executive functioning across the four stages of the migraine cycle. Consecutive patients with episodic migraine undertook cognitive tests for attention, processing speed, set-shifting, and inhibitory control. Performance was compared between patients in different migraine stages, controlling for attack frequency and prophylactic medication. One hundred forty-three patients (142 women, average age 36.2 ± 9.9 years) were included, 28 preictal (≤48 h before the attack), 21 ictal (during the attack), 18 postictal (≤24 h after attack), and 76 interictal. Test performance (age and literacy adjusted z-scores) was not significantly different across migraine phases, despite a tendency for a decline before the attack. This negative study shows that cognitive performance fluctuates as patients approach the attack. To control for individual variability, this comparison needs to be better characterized longitudinally with a within-patient design.

scholarly journals Slow Wave Sleep and EEG Delta Spectral Power are Associated with Cognitive Function in Parkinson’s Disease

2020 ◽  
pp. 1-12
Author(s):  
Kimberly H. Wood ◽  
Adeel A. Memon ◽  
Raima A. Memon ◽  
Allen Joop ◽  
Jennifer Pilkington ◽  
...  
Keyword(s):  
Executive Function ◽  
Cognitive Function ◽  
Cognitive Performance ◽  
Slow Wave ◽  
Effect Size ◽  
Processing Speed ◽  
Slow Wave Sleep ◽  
Spectral Power ◽  
Z Scores ◽  
Domain Scores

Background: Cognitive and sleep dysfunction are common non-motor symptoms in Parkinson’s disease (PD). Objective: Determine the relationship between slow wave sleep (SWS) and cognitive performance in PD. Methods: Thirty-two PD participants were evaluated with polysomnography and a comprehensive level II neurocognitive battery, as defined by the Movement Disorders Society Task Force for diagnosis of PD-mild cognitive impairment. Raw scores for each test were transformed into z-scores using normative data. Z-scores were averaged to obtain domain scores, and domain scores were averaged to determine the Composite Cognitive Score (CCS), the primary outcome. Participants were grouped by percent of SWS into High SWS and Low SWS groups and compared on CCS and other outcomes using 2-sided t-tests or Mann-Whitney U. Correlations of cognitive outcomes with sleep architecture and EEG spectral power were performed. Results: Participants in the High SWS group demonstrated better global cognitive function (CCS) (p = 0.01, effect size: r = 0.45). In exploratory analyses, the High SWS group showed better performance in domains of executive function (effect size: Cohen’s d = 1.05), language (d = 0.95), and processing speed (d = 1.12). Percentage of SWS was correlated with global cognition and executive function, language, and processing speed. Frontal EEG delta power during N3 was correlated with the CCS and executive function. Cognition was not correlated with subjective sleep quality. Conclusion: Increased SWS and higher delta spectral power are associated with better cognitive performance in PD. This demonstrates the significant relationship between sleep and cognitive function and suggests that interventions to improve sleep might improve cognition in individuals with PD.

Regional changes in thalamic shape and volume are related to cognitive performance in multiple sclerosis

2019 ◽  
Vol 27 (1) ◽  
pp. 134-138 ◽  
Author(s):  
Alvino Bisecco ◽  
Rocco Capuano ◽  
Giuseppina Caiazzo ◽  
Alessandro d’Ambrosio ◽  
Renato Docimo ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Performance ◽  
Processing Speed ◽  
Cognitive Status ◽  
Control Performance ◽  
Information Processing Speed ◽  
Relapsing Remitting ◽  
Speed Performance ◽  
The Relationship ◽  
Shape Changes

Background: The relationship between cognitive performance and regional thalamic atrophy in multiple sclerosis (MS) has been investigated in recent studies. Objective and methods: To further assess this relationship, 118 relapsing-remitting MS patients and 52 healthy controls underwent a neuropsychological assessment and a 3T-MRI (3-Tesla magnetic resonance imaging). Cognitive performances were correlated with thalamic shape changes by using Vertex Analysis. Results: Information processing speed performance correlated with atrophy of frontal/motor-connected thalamic sub-regions. Inhibitory control performance correlated with atrophy of all thalamic sub-regions. Global cognitive status correlated with atrophy of frontal/temporal-connected sub-regions. Conclusions: These findings support the hypothesis that, within the thalamus, the damage of the anterior regions is most relevant for cognitive dysfunction.

scholarly journals Association between healthy eating index-2015 and various cognitive domains in US adults aged 60 years or older: the National Health and Nutrition Examination Survey (NHANES) 2011–2014

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yameng Fan ◽  
Yinyin Zhang ◽  
Jiaqiao Li ◽  
Yamei Liu ◽  
Huan Chang ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Cognitive Performance ◽  
Healthy Eating ◽  
Processing Speed ◽  
Healthy Eating Index ◽  
Nutrition Examination Survey ◽  
Cognitive Domains ◽  
Health And Nutrition ◽  
The Us ◽  
Z Scores

Abstract Background Diet, as a modifiable factor, plays an important role in cognitive function. However, the association between adherence to the 2015–2020 Dietary Guidelines for Americans (DGA), measured by Healthy Eating Index (HEI)-2015, and cognitive function remains unclear. This study aims to explore whether HEI-2015 is associated with various cognitive domains and whether such association is modified by age, gender, or ethnicity in the US adults aged 60 years or older using data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014. Methods HEI-2015 scores were calculated from 24-h dietary recall interviews. Cognitive function was evaluated by Digit Symbol Substitution Test (DSST, a measure of processing speed), Animal Fluency Test (AFT, a measure of executive function), a subtest from Consortium to Establish a Registry for Alzheimer’s disease (CERAD, a measure of memory), and a composite-z score calculated by summing z scores of individual tests. The associations between HEI-2015 scores and cognitive performance were explored using multiple linear regression models. Results A total of 2450 participants aged 60 years or older were included. Participants with higher HEI-2015 scores were more likely to have higher DSST, AFT as well as composite-z scores (P<0.05). Significant interaction effects were identified between HEI-2015 and ethnicity in specific cognitive domains (Pinteraction<0.05). Among HEI-2015 components, higher intakes of whole fruits and seafood and plant protein were associated with better cognitive performance (P<0.05). Conclusion Higher adherence to DGA is associated with better cognitive performance, especially regarding processing speed and executive function among the US adults aged 60 years or older.

scholarly journals Resting state connectivity and cognitive performance in adults with cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy

2016 ◽  
Vol 36 (5) ◽  
pp. 981-991 ◽  
Author(s):  
Breda Cullen ◽  
Fiona C Moreton ◽  
Michael S Stringer ◽  
Rajeev Krishnadas ◽  
Dheeraj Kalladka ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Performance ◽  
Processing Speed ◽  
Autosomal Dominant ◽  
Early Stage ◽  
Network Connectivity ◽  
Middle Temporal Gyrus ◽  
Cognitive Measures ◽  
Z Scores ◽  
Left Middle Temporal Gyrus

Cognitive impairment is an inevitable feature of cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), affecting executive function, attention and processing speed from an early stage. Impairment is associated with structural markers such as lacunes, but associations with functional connectivity have not yet been reported. Twenty-two adults with genetically-confirmed CADASIL (11 male; aged 49.8 ± 11.2 years) underwent functional magnetic resonance imaging at rest. Intrinsic attentional/executive networks were identified using group independent components analysis. A linear regression model tested voxel-wise associations between cognitive measures and component spatial maps, and Pearson correlations were performed with mean intra-component connectivity z-scores. Two frontoparietal components were associated with cognitive performance. Voxel-wise analyses showed an association between one component cluster and processing speed (left middle temporal gyrus; peak −48, −18, −14; ZE = 5.65, pFWEcorr = 0.001). Mean connectivity in both components correlated with processing speed ( r = 0.45, p = 0.043; r = 0.56, p = 0.008). Mean connectivity in one component correlated with faster Trailmaking B minus A time ( r = −0.77, p < 0.001) and better executive performance ( r = 0.56, p = 0.011). This preliminary study provides evidence for associations between cognitive performance and attentional network connectivity in CADASIL. Functional connectivity may be a useful biomarker of cognitive performance in this population.

scholarly journals Spectroscopic and deep learning-based approaches to identify and quantify cerebral microhemorrhages

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Christian Crouzet ◽  
Gwangjin Jeong ◽  
Rachel H. Chae ◽  
Krystal T. LoPresti ◽  
Cody E. Dunn ◽  
...  
Keyword(s):  
Deep Learning ◽  
Prussian Blue ◽  
Processing Speed ◽  
Digital Pathology ◽  
Ground Truth ◽  
Individual Variability ◽  
Rgb Images ◽  
Cerebral Microhemorrhages ◽  
Phasor Analysis ◽  
Better Than

AbstractCerebral microhemorrhages (CMHs) are associated with cerebrovascular disease, cognitive impairment, and normal aging. One method to study CMHs is to analyze histological sections (5–40 μm) stained with Prussian blue. Currently, users manually and subjectively identify and quantify Prussian blue-stained regions of interest, which is prone to inter-individual variability and can lead to significant delays in data analysis. To improve this labor-intensive process, we developed and compared three digital pathology approaches to identify and quantify CMHs from Prussian blue-stained brain sections: (1) ratiometric analysis of RGB pixel values, (2) phasor analysis of RGB images, and (3) deep learning using a mask region-based convolutional neural network. We applied these approaches to a preclinical mouse model of inflammation-induced CMHs. One-hundred CMHs were imaged using a 20 × objective and RGB color camera. To determine the ground truth, four users independently annotated Prussian blue-labeled CMHs. The deep learning and ratiometric approaches performed better than the phasor analysis approach compared to the ground truth. The deep learning approach had the most precision of the three methods. The ratiometric approach has the most versatility and maintained accuracy, albeit with less precision. Our data suggest that implementing these methods to analyze CMH images can drastically increase the processing speed while maintaining precision and accuracy.

A Psychometric Examination of the Anagram Persistence Task: More Than Two Unsolvable Anagrams May Not Be Better

Assessment ◽  
2018 ◽  
Vol 27 (6) ◽  
pp. 1198-1212 ◽  
Author(s):  
Gilles E. Gignac ◽  
Ka Ki Wong
Keyword(s):  
Processing Speed ◽  
Test Performance ◽  
Convergent Validity ◽  
Response Times ◽  
Nonlinear Effects ◽  
Intelligence Test ◽  
Factorial Validity ◽  
Test Taking ◽  
Two Factors ◽  
Administration Time

The purpose of this investigation was to examine a single-anagram, a double-anagram, and multi-anagram versions of the Anagram Persistence Task (APT) for factorial validity, reliability, and convergent validity. Additionally, a battery of intelligence tests was administered to examine convergent validity. Based on an unrestricted factor analysis, two factors were uncovered from the 14 anagram (seven very difficult and seven very easy) response times: test-taking persistence and verbal processing speed. The internal consistency reliabilities for the single-anagram, double-anagram, and multi-anagram (seven difficult anagrams) measures were .42, .85, and .86, respectively. Furthermore, all three versions of the APT correlated positively with intelligence test performance ( r ≈ .22). However, the double-anagram and multi-anagram versions also evidenced negative, nonlinear effects with intelligence test performance ( r ≈ −.15), which suggested the possibility of testee adaptation. Taking psychometrics and administration time into consideration, simultaneously, the double-anagram version of the APT may be regarded as preferred.

scholarly journals Mediterranean Lifestyle in Relation to Cognitive Health: Results from the HELIAD Study

Nutrients ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1557 ◽  
Author(s):  
Costas Anastasiou ◽  
Mary Yannakoulia ◽  
Meropi Kontogianni ◽  
Mary Kosmidis ◽  
Eirini Mamalaki ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Population Based ◽  
Lifestyle Factors ◽  
Cognitive Outcomes ◽  
Lifestyle Factor ◽  
Population Based Study ◽  
Cognitive Domains ◽  
Domain Specific ◽  
Z Scores ◽  
Lifestyle Pattern

Many lifestyle factors have been linked to cognitive function but little is known about their combined effect. An overall lifestyle pattern for people living in the Mediterranean basin has been proposed, including diet, but also physical activity, sleep and daily living activities with social/intellectual aspects. We aimed to examine the associations between a combination of these lifestyle factors and detailed cognitive performance. A total of 1716 participants from the Hellenic Longitudinal Investigation of Ageing and Diet (HELIAD), a population-based study of participants ≥65 years, were included in this analysis. Lifestyle factors were evaluated using standard, validated questionnaires and a Total Lifestyle Index (TLI) was constructed. Cognitive outcomes included mild cognitive impairment (MCI) diagnosis, a composite z-score (either continuous or with a threshold at the 25th percentile) and z-scores for five cognitive domains. A higher TLI was associated with 65% reduced odds for MCI in the non-demented individuals and 43% reduced odds for low global cognition when MCI participants were excluded, a risk reduction equivalent to 9 and 2.7 fewer years of ageing, respectively. Each lifestyle factor was differentially associated with domain-specific cognitive performance. Our results suggest that a TLI, more so than single lifestyle parameters, may be related to cognitive performance.

scholarly journals Linking ecology and cognition: does ecological specialisation predict cognitive test performance?

2020 ◽  
Vol 74 (12) ◽  
Author(s):  
Johanna Henke-von der Malsburg ◽  
Peter M. Kappeler ◽  
Claudia Fichtel
Keyword(s):  
Cognitive Performance ◽  
Test Performance ◽  
Cognitive Abilities ◽  
Social Intelligence ◽  
Brain Size ◽  
Relevant Literature ◽  
Interspecific Variation ◽  
Habitat Characteristics ◽  
Cognitive Test ◽  
Ecological Processes

AbstractVariation in cognitive abilities is thought to be linked to variation in brain size, which varies across species with either social factors (Social Intelligence Hypothesis) or ecological challenges (Ecological Intelligence Hypothesis). However, the nature of the ecological processes invoked by the Ecological Intelligence Hypothesis, like adaptations to certain habitat characteristics or dietary requirements, remains relatively poorly known. Here, we review comparative studies that experimentally investigated interspecific variation in cognitive performance in relation to a species’ degree of ecological specialisation. Overall, the relevant literature was biased towards studies of mammals and birds as well as studies focusing on ecological challenges related to diet. We separated ecological challenges into those related to searching for food, accessing a food item and memorising food locations. We found interspecific variation in cognitive performance that can be explained by adaptations to different foraging styles. Species-specific adaptations to certain ecological conditions, like food patch distribution, characteristics of food items or seasonality also broadly predicted variation in cognitive abilities. A species’ innovative problem-solving and spatial processing ability, for example, could be explained by its use of specific foraging techniques or search strategies, respectively. Further, habitat generalists were more likely to outperform habitat specialists. Hence, we found evidence that ecological adaptations and cognitive performance are linked and that the classification concept of ecological specialisation can explain variation in cognitive performance only with regard to habitat, but not dietary specialisation.

scholarly journals Understanding the relationship between cognitive performance and function in daily life after traumatic brain injury

2020 ◽  
pp. jnnp-2020-324492
Author(s):  
Lindsay Wilson ◽  
Lindsay Horton ◽  
Kevin Kunzmann ◽  
Barbara J Sahakian ◽  
Virginia FJ Newcombe ◽  
...  
Keyword(s):  
Mental Health ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Cognitive Performance ◽  
Processing Speed ◽  
Daily Life ◽  
Short Form ◽  
Analysis Of Covariance ◽  
Effect Sizes ◽  
Different Levels

ObjectiveCognitive impairment is a key cause of disability after traumatic brain injury (TBI) but relationships with overall functioning in daily life are often modest. The aim is to examine cognition at different levels of function and identify domains associated with disability.Methods1554 patients with mild-to-severe TBI were assessed at 6 months post injury on the Glasgow Outcome Scale—Extended (GOSE), the Short Form-12v2 and a battery of cognitive tests. Outcomes across GOSE categories were compared using analysis of covariance adjusting for age, sex and education.ResultsOverall effect sizes were small to medium, and greatest for tests involving processing speed (ηp2 0.057–0.067) and learning and memory (ηp2 0.048–0.052). Deficits in cognitive performance were particularly evident in patients who were dependent (GOSE 3 or 4) or who were unable to participate in one or more major life activities (GOSE 5). At higher levels of function (GOSE 6–8), cognitive performance was surprisingly similar across categories. There were decreases in performance even in patients reporting complete recovery without significant symptoms. Medium to large effect sizes were present for summary measures of cognition (ηp2 0.111), mental health (ηp2 0.131) and physical health (ηp2 0.252).ConclusionsThis large-scale study provides novel insights into cognitive performance at different levels of disability and highlights the importance of processing speed in function in daily life. At upper levels of outcome, any influence of cognition on overall function is markedly attenuated and differences in mental health are salient.

Sign in / Sign up

Export Citation Format

Share Document