Functional near-infrared spectroscopy and its clinical application in the field of neuroscience: advances and future directions

WL Chen, J Wagner, N Heugel, J Sugar… - Frontiers in …, 2020 - frontiersin.org
Similar to functional magnetic resonance imaging (fMRI), functional near-infrared
spectroscopy (fNIRS) detects the changes of hemoglobin species inside the brain, but via …

Deep learning in fNIRS: a review

C Eastmond, A Subedi, S De, X Intes - Neurophotonics, 2022 - spiedigitallibrary.org
Significance: Optical neuroimaging has become a well-established clinical and research
tool to monitor cortical activations in the human brain. It is notable that outcomes of …

Systemic review on transcranial electrical stimulation parameters and EEG/fNIRS features for brain diseases

D Yang, YI Shin, KS Hong - Frontiers in Neuroscience, 2021 - frontiersin.org
Background Brain disorders are gradually becoming the leading cause of death worldwide.
However, the lack of knowledge of brain disease's underlying mechanisms and ineffective …

Detection of mild cognitive impairment using convolutional neural network: temporal-feature maps of functional near-infrared spectroscopy

D Yang, R Huang, SH Yoo, MJ Shin… - Frontiers in Aging …, 2020 - frontiersin.org
Mild cognitive impairment (MCI) is the clinical precursor of Alzheimer's disease (AD), which
is considered the most common neurodegenerative disease in the elderly. Some MCI …

Fractional Aquila spider monkey optimization based deep learning network for classification of brain tumor

G Nirmalapriya, V Agalya, R Regunathan… - … Signal Processing and …, 2023 - Elsevier
The tumor in the brain is a serious disease that causes death in humans. Various imaging
modalities are utilized for identifying tumors, but the huge data produced by magnetic …

Activation of glucagon‐like peptide‐1 receptor ameliorates cognitive decline in type 2 diabetes mellitus through a metabolism‐independent pathway

Q Li, M Jia, Z Yan, Q Li, F Sun, C He, Y Li… - Journal of the …, 2021 - ahajournals.org
Background Patients with hypertension and diabetes mellitus are susceptible to dementia,
but regular therapy fails to reduce the risk of dementia. Glucagon‐like peptide‐1 receptor …

Effects of repetitive transcranial magnetic stimulation on post-stroke patients with cognitive impairment: a systematic review and meta-analysis

KP Li, J Sun, CQ Wu, X An, JJ Wu, MX Zheng… - Behavioural Brain …, 2023 - Elsevier
Background Post-stroke cognitive impairment (PSCI) is one of the common symptoms in
stroke survivors, by which their quality of life and rehabilitation progress are severely limited …

The contribution of functional near-infrared spectroscopy (FNIRS) to the study of neurodegenerative disorders: A narrative review

I Liampas, F Danga, P Kyriakoulopoulou, V Siokas… - Diagnostics, 2024 - mdpi.com
Functional near-infrared spectroscopy (fNIRS) is an innovative neuroimaging method that
offers several advantages over other commonly used modalities. This narrative review …

A transformer-based generative adversarial network for brain tumor segmentation

L Huang, E Zhu, L Chen, Z Wang, S Chai… - Frontiers in …, 2022 - frontiersin.org
Brain tumor segmentation remains a challenge in medical image segmentation tasks. With
the application of transformer in various computer vision tasks, transformer blocks show the …

Acupuncture enhances brain function in patients with mild cognitive impairment: evidence from a functional-near infrared spectroscopy study

MNA Khan, U Ghafoor, HR Yoo… - Neural regeneration …, 2022 - journals.lww.com
Mild cognitive impairment (MCI) is a precursor to Alzheimer's disease. It is imperative to
develop a proper treatment for this neurological disease in the aging society. This …