Objective: The ability to assess cognitive skills remotely is increasing with the widespread use and availability of smartphones. The Mobile Toolbox (MTB) is a measurement system that includes Sequences, a new measure of working memory designed specifically for smartphones. This study describes the development of Sequences and presents the studies conducted to evaluate its psychometric properties.
Methods: We developed a new measure of working memory that can be self-administered remotely using an iOS or Android smartphone. In Sequences, a series of numbers and letters are shown on the screen one at a time, and the participant must first tap the letters they see in alphabetical order, followed by tapping the numbers in ascending numerical order. The Sequences measure was evaluated for usability and feasibility across two pilot studies and then assessed in this validation study (which included a total sample size of = 1,246). Psychometric properties of the new measure were evaluated in three studies involving participants aged 18-90 years. In Study 1 ( = 92), participants completed MTB measures in a laboratory setting. They were also administered both an equivalent NIH Toolbox (NIHTB) measure along with external measures of similar constructs. In Study 2 ( = 1,007), participants were administered NIHTB measures in the laboratory and then completed MTB measures remotely on their own devices. In Study 3 ( = 147), participants completed MTB measures twice, remotely on their own devices, with a 2-week interval between sessions.
Results: Sequences exhibited moderately high correlations with a comparable NIHTB test and external measures of a similar construct, while exhibiting a lower correlation with an unrelated test, as hypothesized. Internal consistency was high, but test-retest reliability was moderate. When controlling for age, phone operating system (iOS vs. Android) and sex assigned at birth did not significantly impact performance; however, there was a significant difference between individuals who completed college and those with a high school education or lower.
Conclusion: The results support the validity of Sequences as a measure of working memory for remote self-administered use. The internal consistency was strong, with moderate test-retest reliability that is likely a function of the test's unproctored self-administration method. The findings suggest that Sequences is appropriate for use with adults aged 18-90 years in remote self-administered designs that focus on group results.
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http://dx.doi.org/10.3389/fpsyg.2024.1497816 | DOI Listing |
Iran J Pharm Res
January 2025
Department of Biology, Kazeroon Branch, Islamic Azad University, Kazeroon, Iran.
Background: Obesity, a rising global health issue, is linked to numerous disorders, including cognitive impairment.
Objectives: This study investigates the effects of coenzyme Q10 (Co-Q10) on cognitive performance, antioxidant defense, cholinergic activity, and hippocampal neuron damage in rats rendered obese by monosodium glutamate (MSG) exposure.
Methods: Forty-eight neonatal male Wistar rats were randomly assigned to one of four groups: Control, MSG, MSG + Q10-10, and MSG + Q10-20.
Alzheimers Dement (N Y)
March 2025
TMS Clinical and Research Program, Neuromodulation Division Semel Institute for Neuroscience and Human Behavior at UCLA Los Angeles California USA.
Introduction: Brain network dysfunction, particularly within the default mode network (DMN), is an increasingly apparent contributor to the clinical progression of Alzheimer's disease (AD). Repetitive transcranial magnetic stimulation (rTMS) can target key DMN hubs, maintain signaling function, and delay or improve clinical outcomes in AD. Here, we present the rationale and design of a study using off-the-shelf equipment and the latest clinical evidence to expand on prior rTMS work and reduce participant burden in the process.
View Article and Find Full Text PDFFront Artif Intell
February 2025
Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Kiambu, Kenya.
Insights into the magnitude and performance of an economy are crucial, with the growth rate of real GDP frequently used as a key indicator of economic health, highlighting the importance of the Gross Domestic Product (GDP). Additionally, remittances have drawn considerable global interest in recent years, particularly in The Gambia. This study introduces an innovative model, a hybrid of recurrent neural network and long-short-term memory (RNN-LSTM), to predict GDP growth based on remittance inflows in The Gambia.
View Article and Find Full Text PDFBMC Psychol
March 2025
Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.
Metacognition and facial emotional expressions both play a major role in human social interactions [1, 2] as inner narrative and primary communicational display, and both are limited by self-monitoring, control and their interaction with personal and social reference frames. The study aims to investigate how metacognitive abilities relate to facial emotional expressions, as the inner narrative of a subject might project subconsciously and primes facial emotional expressions in a non-social setting. Subjects were presented online to a set of digitalised short-term memory tasks and attended a screening of artistic and artificial stimuli, where their facial emotional expressions were recorded and analyzed by artificial intelligence.
View Article and Find Full Text PDFSci Rep
March 2025
College of Education, University of the Visayas, Cebu, 6000, Philippines.
As society ages, improving the health of the elderly through effective training programs has become a pressing issue. Virtual reality (VR) technology, with its immersive experience, is increasingly being utilized as a vital tool in rehabilitation training for the elderly. To further enhance training outcomes and improve health conditions among the elderly, this work proposes an integrated model that combines the Generative Adversarial Network (GAN), Variational Autoencoder (VAE), and Long Short-Term Memory (LSTM) network.
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