Conceptualizing psychological resilience through resting-state functional MRI in a mentally healthy population: a systematic review

APL Tai, MK Leung, X Geng, WKW Lau - Frontiers in behavioral …, 2023 - frontiersin.org
Conceptualizations and operational definitions of psychological resilience vary across
resilience neuroimaging studies. Data on the neural features of resilience among healthy …

A review of AI cloud and edge sensors, methods, and applications for the recognition of emotional, affective and physiological states

A Kaklauskas, A Abraham, I Ubarte, R Kliukas… - Sensors, 2022 - mdpi.com
Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …

[HTML][HTML] Clinical applications of magnetic resonance imaging based functional and structural connectivity

C Wu, F Ferreira, M Fox, N Harel, J Hattangadi-Gluth… - Neuroimage, 2021 - Elsevier
Advances in computational neuroimaging techniques have expanded the armamentarium of
imaging tools available for clinical applications in clinical neuroscience. Non-invasive, in …

Effects of iron oxide nanoparticles as T2-MRI contrast agents on reproductive system in male mice

H Yang, H Wang, C Wen, S Bai, P Wei, B Xu… - Journal of …, 2022 - Springer
Iron oxide nanoparticles (IONPs)-based contrast agents are widely used for T 2-weighted
magnetic resonance imaging (MRI) in clinical diagnosis, highlighting the necessity and …

Brain network mapping and glioma pathophysiology

AS Mandal, S Brem, J Suckling - Brain Communications, 2023 - academic.oup.com
Adult diffuse gliomas are among the most difficult brain disorders to treat in part due to a lack
of clarity regarding the anatomical origins and mechanisms of migration of the tumours …

Machine learning analytics of resting-state functional connectivity predicts survival outcomes of glioblastoma multiforme patients

B Lamichhane, AGS Daniel, JJ Lee, DS Marcus… - Frontiers in …, 2021 - frontiersin.org
Glioblastoma multiforme (GBM) is the most frequently occurring brain malignancy. Due to its
poor prognosis with currently available treatments, there is a pressing need for easily …

Automated classification of resting-state fMRI ICA components using a deep Siamese network

Y Chou, C Chang, SW Remedios, JA Butman… - Frontiers in …, 2022 - frontiersin.org
Manual classification of functional resting state networks (RSNs) derived from Independent
Component Analysis (ICA) decomposition can be labor intensive and requires expertise …

Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival

B Lamichhane, PH Luckett, D Dierker… - Neuro-Oncology …, 2023 - academic.oup.com
Background Patients with glioblastoma (GBM) and high-grade glioma (HGG, World Health
Organization [WHO] grade IV glioma) have a poor prognosis. Consequently, there is an …

Disrupted network communication predicts mild cognitive impairment in end-stage renal disease: an individualized machine learning study based on resting-state …

Z Yu, H Pang, Y Liu, X Li, S Bu, J Wang, M Zhao… - Cerebral …, 2023 - academic.oup.com
Abstract End-Stage Renal Disease (ESRD) is known to be associated with a range of brain
injuries, including cognitive decline. The purpose of this study is to investigate the functional …

Common and unique alterations of functional connectivity in major depressive disorder and bipolar disorder

AH Yu, QL Gao, ZY Deng, Y Dang, CG Yan… - Bipolar …, 2023 - Wiley Online Library
Objective Major depressive disorder (MDD) and bipolar disorder (BD) are considered whole‐
brain disorders with some common clinical and neurobiological features. It is important to …