Contributions of the neurological examination to the diagnosis of dementia in Down syndrome

2022 ◽  
pp. 251-272
Author(s):  
Ira T. Lott ◽  
H. Diana Rosas ◽  
Florence Lai ◽  
Shahid Zaman
2014 ◽  
Vol 27 (1) ◽  
pp. 167-168
Author(s):  
Victor Michael Aziz ◽  
Padmavathy Srinivasalu Gopinath ◽  
Georgia Baily

Early diagnosis of dementia enables early intervention and gives people the opportunity to make choices and plan for their future. Such an early diagnosis requires accurate assessment. A clinical assessment in people with suspected dementia in a memory clinic setting should include a clinical interview of the patient and their next of kin, a physical and neurological examination, cognitive assessment with appropriate cognitive tests, blood investigations, ECG (electrocardiography), and brain imaging.


1994 ◽  
Vol 9 (6) ◽  
pp. 473-478 ◽  
Author(s):  
V. P. Prasher ◽  
V. H. R. Krishnan ◽  
A. Blake ◽  
D. J. Clarke ◽  
J. A. Corbett

2015 ◽  
Vol 45 (3) ◽  
pp. 733-743 ◽  
Author(s):  
Petrus J.W. Naudé ◽  
Alain D. Dekker ◽  
Antonia M.W. Coppus ◽  
Yannick Vermeiren ◽  
Ulrich L.M. Eisel ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Sarah Hamburg ◽  
Daniel Bush ◽  
Andre Strydom ◽  
Carla M. Startin

Abstract Background Down syndrome (DS) is the most common genetic cause of intellectual disability (ID) worldwide. Understanding electrophysiological characteristics associated with DS provides potential mechanistic insights into ID, helping inform biomarkers and targets for intervention. Currently, electrophysiological characteristics associated with DS remain unclear due to methodological differences between studies and inadequate controls for cognitive decline as a potential cofounder. Methods Eyes-closed resting-state EEG measures (specifically delta, theta, alpha, and beta absolute and relative powers, and alpha peak amplitude, frequency and frequency variance) in occipital and frontal regions were compared between adults with DS (with no diagnosis of dementia or evidence of cognitive decline) and typically developing (TD) matched controls (n = 25 per group). Results We report an overall ‘slower’ EEG spectrum, characterised by higher delta and theta power, and lower alpha and beta power, for both regions in people with DS. Alpha activity in particular showed strong group differences, including lower power, lower peak amplitude and greater peak frequency variance in people with DS. Conclusions Such EEG ‘slowing’ has previously been associated with cognitive decline in both DS and TD populations. These findings indicate the potential existence of a universal EEG signature of cognitive impairment, regardless of origin (neurodevelopmental or neurodegenerative), warranting further exploration.


2019 ◽  
Vol 124 (4) ◽  
pp. 354-373 ◽  
Author(s):  
Elizabeth Smith ◽  
Craig Hedge ◽  
Christopher Jarrold

Abstract Executive function (EF) decline is a consistent early sign of Alzheimer's disease (AD) among adults with Down syndrome (DS), which means that baseline measures of EF for individuals with DS are vital to allow detection of meaningful decline. We developed a framework to extract measures of three core components of EF (memory updating, inhibitory, and temporal components) within one task. Increases in memory load, inhibitory load, and temporal demands led to significant increases in reaction times and significant decreases in accuracy among 18 adults with DS and 18 typically developing matched individuals; thus, the expected effects of all three manipulations were detected. Good test-retest reliability indicated that this framework has the potential to provide a simple, baseline EF measure for individuals with DS.


2021 ◽  
Vol 10 (16) ◽  
pp. 3639
Author(s):  
Laia Montoliu-Gaya ◽  
Andre Strydom ◽  
Kaj Blennow ◽  
Henrik Zetterberg ◽  
Nicholas James Ashton

Epidemiological evidence suggests that by the age of 40 years, all individuals with Down syndrome (DS) have Alzheimer’s disease (AD) neuropathology. Clinical diagnosis of dementia by cognitive assessment is complex in these patients due to the pre-existing and varying intellectual disability, which may mask subtle declines in cognitive functioning. Cerebrospinal fluid (CSF) and positron emission tomography (PET) biomarkers, although accurate, are expensive, invasive, and particularly challenging in such a vulnerable population. The advances in ultra-sensitive detection methods have highlighted blood biomarkers as a valuable and realistic tool for AD diagnosis. Studies with DS patients have proven the potential blood-based biomarkers for sporadic AD (amyloid-β, tau, phosphorylated tau, and neurofilament light chain) to be useful in this population. In addition, biomarkers related to other pathologies that could aggravate dementia progression—such as inflammatory dysregulation, energetic imbalance, or oxidative stress—have been explored. This review serves to provide a brief overview of the main findings from the limited neuroimaging and CSF studies, outline the current state of blood biomarkers to diagnose AD in patients with DS, discuss possible past limitations of the research, and suggest considerations for developing and validating blood-based biomarkers in the future.


1976 ◽  
Vol 112 (10) ◽  
pp. 1397-1399 ◽  
Author(s):  
D. M. Carter

1991 ◽  
Vol 36 (2) ◽  
pp. 172-172
Author(s):  
No authorship indicated
Keyword(s):  

1990 ◽  
Vol 35 (8) ◽  
pp. 766-767 ◽  
Author(s):  
Clifford J. Drew
Keyword(s):  

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