Explanipedia

Digital Planning-Based Technologies to Support Memory-Related Functioning in Older Adults with Mild Cognitive Impairment: A Systematic Scoping Study Open

Aswen Sriranganathan, Shaylene Kathiravelu, Tie‐Qiang Li, Lindsey Sikora, Shekinah McClymont , et al. · 2025

Background: Mild cognitive impairment (MCI) is a precursor to dementia, with a prevalence of over 15% among community dwellers, with significant economic and social implications. Despite preserved autonomy in daily living, individuals with…

Behavioral intervention with task repetition compared to pharmacological intervention with SSRI for enhancement of cognitive control in emotional and non-emotional settings Open

Myrto Sklivanioti Greenfield, Yanlu Wang, Lina Martinsson, Tie‐Qiang Li, Mussie Msghina · 2025

Rationale Cognitive control is crucial for optimal daily functioning and for emotional well-being. Cognitive control has been shown to be modified by experimental manipulations under widely differing experimental conditions, including cogn…

Differentiating idiopathic Parkinson’s disease from multiple system atrophy-P using brain MRI-based radiomics: a multicenter study Open

Yin-Hui Huang, Meili Yang, Yuanzhe Li, Ya‐Fang Chen, Chi Cai , et al. · 2025

Background: Differentiating idiopathic Parkinson’s disease (IPD) from multiple system atrophy-parkinsonian type (MSA-P) is essential for optimizing patient care and prognosis, given the differences in disease progression and treatment resp…

Altered Empathy Processing in Frontotemporal Dementia Open

Olof Lindberg, Tie‐Qiang Li, Cecilia Lind, Susanna Vestberg, Ove Almkvist , et al. · 2024

This case-control study examines differences in empathetic response of patients experiencing behavioral variant frontotemporal dementia using functional magnetic resonance imaging.

Altered empathy processing in frontotemporal dementia A task-based fMRI study Open

Olof Lindberg, Tie‐Qiang Li, Cecilia Lind, Susanna Vestberg, Ove Almkvist , et al. · 2024

A lack of empathy, and particularly its affective components, is a core symptom of behavioural variant frontotemporal dementia (bvFTD). Visual exposure to images of a needle pricking a hand (pain condition) and Q-tips touching a hand (cont…

Atopic dermatitis and stress: A functional magnetic resonance imaging study of female patients with atopic dermatitis using an arithmetic task Open

Tomas Jonsson, Tie‐Qiang Li, Saly Abdelhadi, Louise Lönndahl, Elvar Theodorsson , et al. · 2024

Background Atopic dermatitis (AD) is a chronic inflammatory skin disorder characterized by eczematous lesions, dry skin and persistent itch. AD may worsen due to psychological stress. However, little is known about the neural correlates th…

Changes in functional connectivity following intensive attention training in patients with traumatic brain injury. A pilot study Open

Gabriela Markovic, Tie‐Qiang Li, Hanna Persson · 2024

Objective: To explore functional connectivity after intensive attention training in the chronic phase after traumatic brain injury as clinical evidence indicates that intensive attention training improves attention dysfunction in persons w…

3T sodium-MRI as predictor of neurocognition in nondemented older adults: a cross sectional study Open

Elaine Lui, Vijay Venkatraman, Sue Finch, Michelle Chua, Tie‐Qiang Li , et al. · 2024

Dementia is a burgeoning global problem. Novel magnetic resonance imaging (MRI) metrics beyond volumetry may bring new insight and aid clinical trial evaluation of interventions early in the Alzheimer’s disease course to complement existin…

Age-dependent effects of oxytocin in brain regions enriched with oxytocin receptors Open

Shanshan Xiao, Natalie C. Ebner, Amirhossein Manzouri, Tie‐Qiang Li, Diana S. Cortes , et al. · 2023

CS-MRI Reconstruction Using an Improved GAN with Dilated Residual Networks and Channel Attention Mechanism Open

Xia Li, Hui Zhang, Hao Yang, Tie‐Qiang Li · 2023

Compressed sensing (CS) MRI has shown great potential in enhancing time efficiency. Deep learning techniques, specifically generative adversarial networks (GANs), have emerged as potent tools for speedy CS-MRI reconstruction. Yet, as the c…

The Ghosts Lingering around the Stock Market Open

Yi-Hsi Lee, Der-Yuan Yang, Tie‐Qiang Li · 2023

Abstract: Old traditions never die, neither do they fade away. Some are still deeply embedded in our mind. This paper examines the taboos of four and the ghost month, testing their potency on the stock…

A Conceptual Study on the Future Prospects of Forensic Accounting in India Open

Yi-Hsi Lee, Der-Yuan Yang, Tie‐Qiang Li · 2023

Abstract: Old traditions never die, neither do they fade away. Some are still deeply embedded in our mind. This paper examines the taboos of four and the ghost month, testing their potency on the stock…

CS-MRI Reconstruction Using an Improved GAN with Dilated-Residual Networks and Channel Attention Mechanism Open

Xia Li, Hui Zhang, Hao Yang, Tie‐Qiang Li · 2023

Compressed Sensing (CS) MRI has shown great potential in enhancing time efficiency. Deep learning techniques, specifically Generative Adversarial Networks (GANs), have emerged as potent tools for speedy CS-MRI reconstruction. Yet, as the c…

Achieving symptom relief in patients with myalgic encephalomyelitis by targeting the neuro-immune interface and optimizing disease tolerance Open

Lucie Rodriguez, Christian Pou, Tadepally Lakshmikanth, Jingdian Zhang, Constantin Habimana Mugabo , et al. · 2023

Myalgic encephalomyelitis (ME) previously also known as chronic fatigue syndrome is a heterogeneous, debilitating syndrome of unknown etiology responsible for long-lasting disability in millions of patients worldwide. The most well-known s…

Image Classification of Alzheimer’s Disease Based on External-Attention Mechanism and Fully Convolutional Network Open

Mingfeng Jiang, Bin Yan, Yang Li, Jucheng Zhang, Tie‐Qiang Li , et al. · 2022

Automatic and accurate classification of Alzheimer’s disease is a challenging and promising task. Fully Convolutional Network (FCN) can classify images at the pixel level. Adding an attention mechanism to the Fully Convolutional Network ca…

Functional connectivity in reward‐related networks is associated with individual differences in gambling strategies in male Lister hooded rats Open

Nikita Tjernström, Tie‐Qiang Li, Sarah Holst, Erika Roman · 2022

Individuals with gambling disorder display deficits in decision‐making in the Iowa Gambling Task. The rat Gambling Task (rGT) is a rodent analogue that can be used to investigate the neurobiological mechanisms underlying gambling behaviour…

The Ghosts Lingering Around the Stock Market Open

Yi-Hsi Lee, Der-Yuan Yang, Tie‐Qiang Li · 2022

Estimated gray matter volume rapidly changes after a short motor task Open

Gaia Olivo, Martin Lövdén, Amirhossein Manzouri, Laura Terlau, Bo Jenner , et al. · 2021

Skill learning induces changes in estimates of gray matter volume (GMV) in the human brain, commonly detectable with magnetic resonance imaging (MRI). Rapid changes in GMV estimates while executing tasks may however confound between- and w…

Limbic Perfusion Is Reduced in Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) Open

Xia Li, Per Julin, Tie‐Qiang Li · 2021

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is an illness characterized by a diverse range of debilitating symptoms including autonomic, immunologic, and cognitive dysfunction. Although neurological and cognitive aberration…

A Quantitative Data-Driven Analysis Framework for Resting-State Functional Magnetic Resonance Imaging: A Study of the Impact of Adult Age Open

Xia Li, Håkan Fischer, Amirhossein Manzouri, Kristoffer Månsson, Tie‐Qiang Li · 2021

The objective of this study is to introduce a new quantitative data-driven analysis (QDA) framework for the analysis of resting-state fMRI (R-fMRI) and use it to investigate the effect of adult age on resting-state functional connectivity …

Detection of Cervical Cancer Cells in Whole Slide Images Using Deformable and Global Context Aware Faster RCNN-FPN Open

Xia Li, Zhenhao Xu, Xi Shen, Yongxia Zhou, Binggang Xiao , et al. · 2021

Cervical cancer is a worldwide public health problem with a high rate of illness and mortality among women. In this study, we proposed a novel framework based on Faster RCNN-FPN architecture for the detection of abnormal cervical cells in …

MRI data for gambling male rats Open

Tie‐Qiang Li · 2021

MRI data of the brains for lale Lister Hooded rats (HsdOla:LH, Envigo, Horst, the Netherlands, n at 5–6 weeks of age. Both high-resolution anatomic 3D fast spin-echo (FSE) images and resting-state fMRI data for 32 animals are available. Th…

Dataset of whole-brain resting-state fMRI of 227 young and elderly adults acquired at 3T Open

Xia Li, Håkan Fischer, Amirhossein Manzouri, Kristoffer Månsson, Tie‐Qiang Li · 2021

Detection of Cervical Cancer Cells in Whole Slide Images Us-ing Deformable and Global Context Aware Faster RCNN-FPN Open

Xia Li, Zhenhao Xu, Xi Shen, Yongxia Zhou, Binggang Xiao , et al. · 2021

Cervical cancer is a worldwide public health problem with a high rate of illness and mortality among women. In this study, we proposed a novel framework based on Faster RCNN-FPN ar-chitecture for the detection of abnormal cervical cells in…

resting-state fMRI data for Normal adults Open

Tie‐Qiang Li · 2021

Whole brain resting-state fMRI data from 227 healthy adults between 18 and 78 years old acquired at a 3T clinical MRI scanner. The tar file contains 227 compressed nifti files. The 1st alphabet in the file names indicates the gender of the…

A Quantitative Data-Driven Analysis (QDA) Framework for Resting-state fMRI: a Study of the Impact of Adult Age Open

Xia Li, Håkan Fischer, Amirhossein Manzouri, Kristoffer Månsson, Tie‐Qiang Li · 2021

Purpose The objective of this study is to introduce a new quantitative data-driven analysis (QDA) framework for the analysis of resting-state fMRI (R-fMRI) and use it to investigate the effect of adult age on resting-state functional conne…

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization Open

Haoliang Li, Yufei Wang, Renjie Wan, Shiqi Wang, Tie‐Qiang Li , et al. · 2020

Recently, we have witnessed great progress in the field of medical imaging classification by adopting deep neural networks. However, the recent advanced models still require accessing sufficiently large and representative datasets for trai…

Classification of breast cancer histopathological images using interleaved DenseNet with SENet (IDSNet) Open

Xia Li, Xi Shen, Yongxia Zhou, Xiuhui Wang, Tie‐Qiang Li · 2020

In this study, we proposed a novel convolutional neural network (CNN) architecture for classification of benign and malignant breast cancer (BC) in histological images. To improve the delivery and use of feature information, we chose the D…

Rare variants in dynein heavy chain genes in two individuals with situs inversus and developmental dyslexia: a case report Open

Andrea Bieder, Elísabet Einarsdóttir, Hans Matsson, Harriet E. Nilsson, Jesper Eisfeldt , et al. · 2020

Rare variants in dynein heavy chain genes in two individuals withsitus inversusand developmental dyslexia Open

Andrea Bieder, Elísabet Einarsdóttir, Hans Matsson, Harriet E. Nilsson, Jesper Eisfeldt , et al. · 2020

Background Developmental dyslexia (DD) is a neurodevelopmental learning disorder with high heritability. A number of candidate susceptibility genes have been identified, some of which are linked to the function of the cilium, an organelle …

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