scholarly journals Theta and gamma activity is linked with affective and cognitive symptoms in Parkinson's disease

Author(s):  
Kartik K Iyer ◽  
Tiffany R Au ◽  
Anthony J Angwin ◽  
David A Copland ◽  
Nadeeka N Dissanayaka

Background The progression of Parkinsons disease (PD) can often exacerbate symptoms of depression, anxiety, and/or cognitive impairment. In this study, we explore the possibility that multiple brain network responses are associated with symptoms of depression, anxiety and cognitive impairment in PD. This association is likely to provide insights into a single multivariate relationship, where common affective symptoms occurring in PD cohorts are related with alterations to electrophysiological response. Methods 70 PD patients and 21 healthy age-matched controls (HC) participated in a high-density electroencephalography (EEG) study. Functional connectivity differences between PD and HC groups of oscillatory activity at rest and during completion of an emotion-cognition task were examined to identify key brain oscillatory activities. A canonical correlation analysis (CCA) was applied to identify a putative multivariate relationship between connectivity patterns and affective symptoms in PD groups. Results A CCA analysis identified a single mode of co-variation linking theta and gamma connectivity with affective symptoms in PD groups. Increases in frontotemporal gamma, frontal and parietal theta connectivity were related with increased anxiety and cognitive impairment. Decreases in temporal region theta and frontoparietal gamma connectivity were associated with higher depression ratings and PD patient age. Limitations This study only reports on optimal dosage of dopaminergic treatment (on state) in PD and did not investigate at off medication. Conclusions Theta and gamma connectivity during rest and task-states are linked to affective and cognitive symptoms within fronto-temporo-parietal networks, suggesting a potential assessment avenue for understanding brain-behavior associations in PD with electrophysiological task paradigms.

2009 ◽  
Vol 40 (7) ◽  
pp. 1193-1201 ◽  
Author(s):  
I. H. G. B. Ramakers ◽  
P. J. Visser ◽  
P. Aalten ◽  
A. Kester ◽  
J. Jolles ◽  
...  

BackgroundAffective symptoms are common in subjects with mild cognitive impairment (MCI), but there is disagreement whether these symptoms are predictive for Alzheimer's disease (AD). We investigated the predictive accuracy of affective symptoms for AD during a follow-up study in subjects with MCI, and whether the predictive accuracy was modified by age, the presence of amnestic MCI or the length of follow-up.MethodNewly referred subjects (n=263) with MCI older than 55 years were selected from a memory clinic and followed up after 2, 5 and 10 years. Predictors investigated were: symptoms of depression, anxiety, apathy and sleeping problems.ResultsAffective symptoms were present in 50–70% of the subjects. The average follow-up period was 5.4 years and 79 subjects (29%) developed AD. Sleeping problems were associated with a decreased risk for AD [odds ratio (OR) 0.35,p<0.001]. Symptoms of depression (OR 0.61,p=0.059) and anxiety (OR 0.58,p=0.051) showed a trend in the same direction. The OR of apathy for AD was 0.67 (p=0.14). Depression was associated with a decreased risk for AD only in subjects without amnestic MCI, but not in subjects with amnestic MCI. Moreover, anxiety was related to the risk for AD differently between subjects diagnosed with AD at the 5-year follow-up (OR 0.23) and subjects diagnosed with AD at the 10-year follow-up (OR 1.7).ConclusionsAffective symptoms are associated with a decreased risk for AD. The risk may be dependent on MCI subtype or length of follow-up, but it does not depend on age.


2013 ◽  
Vol 37 ◽  
pp. S45
Author(s):  
Anthony W. Austin ◽  
Jennifer L. Gordon ◽  
Kim L. Lavoie ◽  
André Arsenault ◽  
Kaberi Dasgupta ◽  
...  

2021 ◽  
pp. 1-15
Author(s):  
Sung Hoon Kang ◽  
Bo Kyoung Cheon ◽  
Ji-Sun Kim ◽  
Hyemin Jang ◽  
Hee Jin Kim ◽  
...  

Background: Amyloid (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer’s disease. However, Aβ evaluation through amyloid positron emission tomography (PET) is limited due to high cost and safety issues. Objective: We therefore aimed to develop and validate prediction models of Aβ positivity for aMCI using optimal interpretable machine learning (ML) approaches utilizing multimodal markers. Methods: We recruited 529 aMCI patients from multiple centers who underwent Aβ PET. We trained ML algorithms using a training cohort (324 aMCI from Samsung medical center) with two-phase modelling: model 1 included age, gender, education, diabetes, hypertension, apolipoprotein E genotype, and neuropsychological test scores; model 2 included the same variables as model 1 with additional MRI features. We used four-fold cross-validation during the modelling and evaluated the models on an external validation cohort (187 aMCI from the other centers). Results: Model 1 showed good accuracy (area under the receiver operating characteristic curve [AUROC] 0.837) in cross-validation, and fair accuracy (AUROC 0.765) in external validation. Model 2 led to improvement in the prediction performance with good accuracy (AUROC 0.892) in cross validation compared to model 1. Apolipoprotein E genotype, delayed recall task scores, and interaction between cortical thickness in the temporal region and hippocampal volume were the most important predictors of Aβ positivity. Conclusion: Our results suggest that ML models are effective in predicting Aβ positivity at the individual level and could help the biomarker-guided diagnosis of prodromal AD.


2014 ◽  
Vol 204 (3) ◽  
pp. 194-199 ◽  
Author(s):  
M. Richards ◽  
J. H. Barnett ◽  
M. K. Xu ◽  
T. J. Croudace ◽  
D. Gaysina ◽  
...  

BackgroundRecurrent affective problems are predictive of cognitive impairment, but the timing and directionality, and the nature of the cognitive impairment, are unclear.AimsTo test prospective associations between life-course affective symptoms and cognitive function in late middle age.MethodA total of 1668 men and women were drawn from the Medical Research Council National Survey of Health and Development (the British 1946 birth cohort). Longitudinal affective symptoms spanning age 13–53 years served as predictors; outcomes consisted of self-reported memory problems at 60–64 years and decline in memory and information processing from age 53 to 60–64 years.ResultsRegression analyses revealed no clear pattern of association between longitudinal affective symptoms and decline in cognitive test scores, after adjusting for gender, childhood cognitive ability, education and midlife socioeconomic status. In contrast, affective symptoms were strongly, diffusely and independently associated with self-reported memory problems.ConclusionsAffective symptoms are more clearly associated with self-reported memory problems in late midlife than with objectively measured cognitive performance.


2017 ◽  
Vol 30 (6) ◽  
pp. 843-862 ◽  
Author(s):  
Rosalba Hernandez ◽  
Elaine Cheung ◽  
Minli Liao ◽  
Seth W. Boughton ◽  
Lisett G. Tito ◽  
...  

Objective: We examined the association between depressive symptoms and cognitive functioning in older Hispanics/Latinos enrolled in an exercise intervention. Method: We analyzed baseline, 1-year, and 2-year in-person interview data collected from Hispanics/Latinos aged ≥60 years participating in an exercise intervention across 27 senior centers ( N = 572). Results: Mean age was 73.13 years; 77% female. At baseline, older adults screening positive for depression were 1.58 times more likely to experience cognitive impairment ( p = .04); controlling for demographics and comorbid chronic conditions. Compared to peers with little to no depressive symptoms, lower cognitive functioning scores were evident at each follow-up assessment point where elevated depressive symptoms were present, but baseline depression was not associated with cognitive function in longitudinal analyses. Discussion: In older Hispanics/Latinos enrolled in an exercise intervention, though baseline depression did not predict cognitive function over time, elevated symptoms of depression were associated with greater cognitive impairment at every point in this study.


2010 ◽  
Vol 16 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Rachell Kingsbury ◽  
Nancy A. Pachana ◽  
Michael Humphreys ◽  
Gerry Tehan ◽  
Gerard J.A. Byrne

AbstractThe current study investigated the ability of CogniScreen to differentiate older adults with mild cognitive impairment (MCI) from those reporting symptoms of depression. Participants included 140 community-based adults (30 MCI, 15 self-rated depressed, and 95 typical older adults) aged 50–89 years. Intergroup comparisons performed using receiver operating characteristic (ROC) analyses suggest tasks within CogniScreen are sensitive to clinically significant memory loss. Data provided partial support for some CogniScreen tasks to also differentiate individuals with MCI from those who are depressed. Results suggest CogniScreen may be potentially useful in screening older adults for early cognitive decline.


Author(s):  
M. Herrera-Estrella ◽  
E. Izar ◽  
K. Luna ◽  
M. Cuellar-García

Aims: The objective of this review has been to highlight the importance of non-specific and painful symptoms of depression since sometimes the person does not notice or is not able to talk about their emotional symptoms. This leads us to refine the search for symptoms that can mask depression and not be treated properly. This is important as it is predicted that by 2020 depression will be the leading cause of disability in the world. Method: We review some articles that relate depression to painful symptoms. Results: Patients with the major depressive disorder may present, as initial complaints, multiple somatic complaints, nonspecific and especially pain, which complicates their diagnosis and sometimes leads them to not receive treatment for depression, complicating its evolution and deteriorating the quality of life. Conclusion: Depression can have many forms of presentation, people can complain of multiple non-specific symptoms, which do not allow a diagnosis of medical disease so it will be necessary to look for affective symptoms, investigate factors that trigger their condition to achieve an adequate diagnosis, provide the indicated medication and allow them a better quality of life. 


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S277-S277
Author(s):  
Alexandra Nash ◽  
Jon Stone ◽  
Alan Carson ◽  
Craig Ritchie ◽  
Laura McWhirter

AimsThis study aimed to explore the terms used by old-age psychiatrists and psychologists to describe subjective and mild cognitive impairment and functional cognitive disorders (FCD) in clinical practice.MethodParticipants were selected from across the United Kingdom based on their clinical involvement in the assessment of cognitive complaints. 9 old-age psychiatrists and 4 psychologists were interviewed about their use of terminology in clinical practice and their awareness and understanding of FCD terminology via semi-structured interview questions and case vignettes. Interviews were conducted between December 2020 and February 2021 using online platforms Zoom and Microsoft Teams. Participants were recruited by email and Twitter. All questions were asked verbally; however, the four case vignettes were displayed via screen-share. All discussions and answers were transcribed and transcripts were coded manually using the exploratory case study methodology in order to identify themes in participants’ responses.ResultThis study has highlighted the variable use of terms used to describe and diagnose patients presenting with symptoms of cognitive disorders. The terms ‘mild cognitive impairment’, ‘subjective cognitive decline’ and ‘functional cognitive disorder’ were used most commonly amongst participants, though the terms ‘subjective cognitive impairment’ and ‘pseudodementia’ were also presented. This theme of language discontinuity is underscored by participants’ varying use of terminology when describing or presenting their diagnoses for the case vignettes. The data also reveals a sub-theme of variability in application of the term FCD. Whilst all participants gave similar definitions for this term, the application of FCD as a diagnosis in practice was inconsistent. Six participants described FCD as associated with or secondary to other functional or psychiatric conditions, four participants viewed FCD as an isolated diagnosis, and one participant considered FCD to be either part of another illness or a separate diagnosis. Two participants neither used nor recognised the term FCD.ConclusionIt is evident that there is varied use of terms describing or diagnosing forms of cognitive symptoms. The findings of this study highlight the need for a clear, adoptable definition of FCD in practice as well as implementable management plans for FCD patients. This is critical in order to avoid misdiagnosis and mismanagement, which may have harmful effects on patients living with debilitating cognitive symptoms.


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