Can the Montreal Cognitive Assessment and Mini-Mental State Examination detect cognitive decline in elderly patients with essential tremor?

McGurn, Margaret; Dworkin, Jordan D.; Chapman, Silvia; Huey, Edward D.; Cosentino, Stephanie; Louis, Elan D.

doi:10.1080/13854046.2022.2090442

Cited by 4 publications

(4 citation statements)

References 84 publications

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“…ET plus was defined using the new consensus criteria, namely ET with any of the following neurological soft signs: (1) mild cognitive impairment, (2) questionable dystonic posturing, (3) impaired tandem gait, (4) resting tremor, and (5) questionable myotonia. Mild cognitive impairment was defined as any of the following: (1) MMSE total score < 17 for illiterate, < 20 for elementary education, or < 24 for middle school education or above; (2) MoCA total score < 26 (MoCA < 25 for participants with ≤ 12 years of education) [ 5 , 28 ]. Questionable dystonic posturing was defined as a UDRS score ≥ 1.…”

Section: Methodsmentioning

confidence: 99%

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Age and Sex Affect Essential Tremor (ET) Plus: Clinical Heterogeneity in ET Based on the National Survey in China

Sun¹,

He²,

Huang³

et al. 2022

Aging and disease

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The new term essential tremor (ET) plus was proposed in the 2018 tremor consensus criteria. The National Survey of Essential Tremor Plus in China, a large multicenter registry study, aimed to evaluate the clinical features of pure ET and ET plus and explore possible factors related to ET plus. All patients with ET underwent neurological examination and neuropsychological assessment at 17 clinical sites. The diagnosis was made according to the 2018 consensus criteria. Clinicodemographic characteristics were analyzed. A total of 1160 patients were included, including 546 patients with pure ET and 614 patients with ET plus. The proportion of females was significantly higher in the ET plus than that in the pure ET (P = 0.001). The age at onset (AAO) of Early access date: December 11, 2022 Sun Q., et al.Age and sex affect ET plus Aging and Disease • 2 pure ET showed a bimodal distribution, with peaks in the 2nd and 5th decades. However, the AAO of the ET plus group demonstrated a skewed distribution, with a single peak in the 6th decade. Female sex (OR=1.645, P<0.001), older age (OR=1.023, P<0.001), lower educational level (OR=0.934, P<0.001), head tremor (OR=1.457, P<0.001), and higher the Tremor Research Group Essential Tremor Rating Assessment Scale (TETRAS)-II scores (OR=1.134, P<0.001) were significantly associated with ET plus. Old age and female sex may contribute to ET plus development. Pure ET showed a bimodal distribution for AAO, whereas ET plus showed a unimodal distribution. It remains unclear whether pure ET and ET plus are merely different stages of a single disease or represent distinct disease entities.

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Section: Methodsmentioning

confidence: 99%

“…(2) MoCA total score < 26 (MoCA < 25 for participants with ≤ 12 years of education) [5,28]. Questionable dystonic posturing was defined as a UDRS score ≥ 1.…”

Section: Assigning Et Plus Diagnosesmentioning

confidence: 99%

Age and Sex Affect Essential Tremor (ET) Plus: Clinical Heterogeneity in ET Based on the National Survey in China

Sun¹,

He²,

Huang³

et al. 2022

Aging and disease

View full text Add to dashboard Cite

show abstract

“…The current standard diagnosis of AD and MCI is based on a combination of various methods. These methods include cognitive assessments such as the Mini-Mental State Examination [28][29][30], Clinical Dementia Rating [31,32], and Cambridge Cognitive Examination [33,34]. These exams usually take the form of a series of questions and are often performed with physical and neurological examinations.…”

Section: Diagnostic Methods and Criteriamentioning

confidence: 99%

“…Common modalities include PET, MRI, and CT for diagnosis, and 3D-MRI [97], fMRI [98], and SPECT for research purposes. Various forms of cognitive assessments (CA) are also commonly available, including MMSE [29], CDR [99], ADAS-Cog [100,101], logical memory test [102,103], and postural kinematic analysis [104,105]. CSF, blood plasma biomarkers [106,107], and genetic data are available from several sources.…”

Section: Types Of Datamentioning

confidence: 99%

A Survey of Deep Learning for Alzheimer’s Disease

Zhou

Wang

et al. 2023

MAKE

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Alzheimer’s and related diseases are significant health issues of this era. The interdisciplinary use of deep learning in this field has shown great promise and gathered considerable interest. This paper surveys deep learning literature related to Alzheimer’s disease, mild cognitive impairment, and related diseases from 2010 to early 2023. We identify the major types of unsupervised, supervised, and semi-supervised methods developed for various tasks in this field, including the most recent developments, such as the application of recurrent neural networks, graph-neural networks, and generative models. We also provide a summary of data sources, data processing, training protocols, and evaluation methods as a guide for future deep learning research into Alzheimer’s disease. Although deep learning has shown promising performance across various studies and tasks, it is limited by interpretation and generalization challenges. The survey also provides a brief insight into these challenges and the possible pathways for future studies.

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Static and Dynamic Functional Network Connectivity in Parkinson's Disease Patients With Postural Instability and Gait Disorder

Shen,

Yao,

Zhang

et al. 2024

CNS Neurosci Ther

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AimsThe exact cause of the parkinsonism gait remains uncertain. We first focus on understanding the underlying neurological reasons for these symptoms through the examination of both static functional network connectivity (SFNC) and dynamic functional network connectivity (DFNC).MethodsWe recruited 64 postural instability and gait disorder‐dominated Parkinson's disease (PIGD‐PD) patients, 31 non‐PIGD‐PD (nPIGD‐PD) patients, and 54 healthy controls (HC) from Nanjing Brain Hospital. The GIFT software identified five distinct independent components: the basal ganglia (BG), cerebellum (CB), sensory networks (SMN), default mode network (DMN), and central executive network (CEN). We conducted a comparison between the SFNC and DFNC of the five networks and analyzed their correlations with postural instability and gait disorder (PIGD) symptoms.ResultsCompared with nPIGD‐PD patients, the PIGD‐PD patients demonstrated reduced connectivity between CEN and DMN while spending less mean dwell time (MDT) in state 4. This is characterized by strong connections. Compared with HC, PIGD‐PD patients exhibited enhanced connectivity in the SFNC between CB and CEN, as well as the network between CB and DMN. Patients with PIGD‐PD spent more MDT in state 1, which is characterized by few connections, and less MDT in state 4. In state 3, there was an increase in the functional connectivity between the CB and DMN in patients with PIGD‐PD. The nPIGD patients showed increased SFNC connectivity between CB and DMN compared to HC. These patients spent more MDT in state 1 and less in state 4. The MDT and fractional windows of state 2 showed a positive link with PIGD scores.ConclusionPatients with PIGD‐PD exhibit a higher likelihood of experiencing reduced brain connectivity and impaired information processing. The enhanced connection between the cerebellum and DMN networks is considered a type of dynamic compensation.

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Can the Montreal Cognitive Assessment and Mini-Mental State Examination detect cognitive decline in elderly patients with essential tremor?

Cited by 4 publications

References 84 publications

Age and Sex Affect Essential Tremor (ET) Plus: Clinical Heterogeneity in ET Based on the National Survey in China

Age and Sex Affect Essential Tremor (ET) Plus: Clinical Heterogeneity in ET Based on the National Survey in China

A Survey of Deep Learning for Alzheimer’s Disease

Static and Dynamic Functional Network Connectivity in Parkinson's Disease Patients With Postural Instability and Gait Disorder

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