Physical activity and prevention of Alzheimer's disease

Li, Rena

doi:10.1016/j.jshs.2016.10.008

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…For convenience, we denote this as x mode and explain the process using the following equation. The embedding vectors for each modality x mode are transformed into normalized data x norm , as shown in (1). Subsequently, normalized data x norm are passed through transformer blocks specific to each modality, resulting in representative vectors suitable for classification.…”

Section: Classificationmentioning

confidence: 99%

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Alzheimer's disease recognition from spontaneous speech using large language models

Bang,

Han,

Kang

2024

ETRI Journal

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We propose a method to automatically predict Alzheimer's disease from speech data using the ChatGPT large language model. Alzheimer's disease patients often exhibit distinctive characteristics when describing images, such as difficulties in recalling words, grammar errors, repetitive language, and incoherent narratives. For prediction, we initially employ a speech recognition system to transcribe participants' speech into text. We then gather opinions by inputting the transcribed text into ChatGPT as well as a prompt designed to solicit fluency evaluations. Subsequently, we extract embeddings from the speech, text, and opinions by the pretrained models. Finally, we use a classifier consisting of transformer blocks and linear layers to identify participants with this type of dementia. Experiments are conducted using the extensively used ADReSSo dataset. The results yield a maximum accuracy of 87.3% when speech, text, and opinions are used in conjunction. This finding suggests the potential of leveraging evaluation feedback from language models to address challenges in Alzheimer's disease recognition.

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Section: Classificationmentioning

confidence: 99%

“…Alzheimer's disease (AD) is a chronic neurodegenerative disease that affects memory, thinking, cognitive skills, and the ability to perform simple tasks [1]. Given its prevalence, dementia has emerged as a critical global issue that must be addressed, owing to its substantial socioeconomic impact.…”

Section: Introductionmentioning

confidence: 99%

Alzheimer's disease recognition from spontaneous speech using large language models

Bang,

Han,

Kang

2024

ETRI Journal

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“…The number of people aged ≥65 is projected to increase by 1,250 million by 2050 ( Buschert et al, 2010 ), with an estimated 115.4 million people living with dementia ( Form the Brain Consortium, 2017 ). Alzheimer’s disease (AD) is the cause of 60–70% of dementia, affects 48 million people worldwide ( Li and Liu, 2016 ) being a significantly higher number of people compared to other types of dementias. Since it affects a large number of people around the world, understanding and addressing this disease has a significant impact on public health and the quality of life of affected people and their caregivers ( Prince et al, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis

González-Martín,

Aibar Almazán,

Rivas Campo

et al. 2023

Front. Aging Neurosci.

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ObjectivesThis systematic review and meta-analysis was conducted to provide an analysis of the published data about the effects of cognitive behavioral therapies on the depression of older adults with a diagnosis of Alzheimer’s disease.MethodsThis study was performed following the PRISMA 2020 guidelines. The search was performed between March and April 2023, using four electronic databases: PubMed, Web of Science, Cinhal and Scopus. Different keywords combined with Boolean operators were utilized. Only 11 articles were included out of the initial 212.ResultsCognitive behavioral therapy was found to reduce depression in individuals with Alzheimer’s, including treatments with low frequency but a longer intervention time.ConclusionThis systematic review and meta-analysis found that the psychosocial therapy cognitive behavioral therapy is effective in improving depression in individuals with a diagnosis of Alzheimer’s. However, results are inconclusive due to the disparity of the findings and the heterogeneity of the applied protocols, so more studies are needed on this topic.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=416396, CRD42023416396.

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“…In 2050 the number of people aged ≥60 years will increase by 1.25 billion [1] with an estimate of 115.4 million of persons with dementia [2]. Alzheimer’s disease (AD) is the cause of 60–70% of dementia, affecting 48 million of people worldwide [3], causing severe clinical, social, and economic problems [1].…”

Section: Introductionmentioning

confidence: 99%

Comparison between physical and cognitive treatment in patients with MCI and Alzheimer’s disease

Fonte

Smania

Pedrinolla

et al. 2019

Aging

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Cognitive and physical activity treatments (CT and PT) are two non-pharmacological approaches frequently used in patients with Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD). The aim of this study was to compare CT and PT in these diseases. Eighty-seven patients were randomly assigned to CT (n=30), PT (n=27) or control group (CTRL; n=30) for 6 months. The global cognitive function was measured by Mini Mental State Examination (MMSE). Specific neuropsychological tests explored attention, memory, executive functions, behavioral disorders. Cardiovascular risk factors (CVD) were collected. All measures were performed before (T0), after treatments (T1), and at three-months follow-up (T2). MMSE did not change from T0 to T1 and T2 in patients assigned to PT and CT, while CTRL patients showed a decline MCI: -11.8%, AD: -16.2%). Between group differences (MCI vs AD) were not found at T1 and T2. Significant worsening was found for CTRL in MCI (T0- T1: P =.039; T0-T2: P <.001) and AD (T0-T1: P <.001; T0-T2: P <.001), and amelioration was found for CT in AD (T0-T2: P <.001). Attention, executive functions and behavioral disorders were unaffected by either PT or CT. Memory was increased in patients with MCI assigned to PT (+6.9%) and CT (+8.5%).. CVD were ameliorated in the PT group. CTRL patients of both groups, revealed significant decline in all functions and no between groups differences were detected. PT appear to ameliorate CVD. Although between groups differences were not found, results suggest a major retention in MCI compared with AD, suggesting that the latter might benefit better of constant rather than periodic treatments. This study confirms the positive effects of CT and PT in mitigating the cognitive decline in MCI and AD patients, and it is the first to demonstrate their similar effectiveness on maintaining cognitive function.

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Physical activity and prevention of Alzheimer's disease

Cited by 11 publications

References 11 publications

Alzheimer's disease recognition from spontaneous speech using large language models

Alzheimer's disease recognition from spontaneous speech using large language models

Addressing depression in older adults with Alzheimer’s through cognitive behavioral therapy: systematic review and meta-analysis

Comparison between physical and cognitive treatment in patients with MCI and Alzheimer’s disease

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