Towards network-guided neuromodulation for epilepsy

RJ Piper, RM Richardson, G Worrell, DW Carmichael… - Brain, 2022 - academic.oup.com
Epilepsy is well-recognized as a disorder of brain networks. There is a growing body of
research to identify critical nodes within dynamic epileptic networks with the aim to target …

[HTML][HTML] Diffusion and functional MRI in surgical neuromodulation

NA Silva, J Barrios-Martinez, FC Yeh, M Hodaie… - …, 2024 - Elsevier
Surgical neuromodulation has witnessed significant progress in recent decades. Notably,
deep brain stimulation (DBS), delivered precisely within therapeutic targets, has …

Fractal basins as a mechanism for the nimble brain

E Bollt, J Fish, A Kumar, E Roque dos Santos… - Scientific Reports, 2023 - nature.com
An interesting feature of the brain is its ability to respond to disparate sensory signals from
the environment in unique ways depending on the environmental context or current brain …

Default mode network failure and neurodegeneration across aging and amnestic and dysexecutive Alzheimer's disease

N Corriveau-Lecavalier, JL Gunter… - Brain …, 2023 - academic.oup.com
From a complex systems perspective, clinical syndromes emerging from neurodegenerative
diseases are thought to result from multiscale interactions between aggregates of misfolded …

Hemisphere-separated cross-connectome aggregating learning via VAE-GAN for brain structural connectivity synthesis

Q Zuo, H Tian, R Li, J Guo, J Hu, L Tang, Y Di… - IEEE …, 2023 - ieeexplore.ieee.org
The brain network is an effective tool and has been widely used in the field of brain
neurodegenerative disease analysis. Due to the high cost of accessing medical image data …

Machine learning in neuroimaging: from research to clinical practice

KH Nenning, G Langs - Die Radiologie, 2022 - Springer
Neuroimaging is critical in clinical care and research, enabling us to investigate the brain in
health and disease. There is a complex link between the brain's morphological structure …

Static and dynamic fMRI-derived functional connectomes represent largely similar information

A Matkovič, A Anticevic, JD Murray… - Network Neuroscience, 2023 - direct.mit.edu
Functional connectivity (FC) of blood oxygen level-dependent (BOLD) fMRI time series can
be estimated using methods that differ in sensitivity to the temporal order of time points …

Intraoperative glioblastoma surgery-current challenges and clinical trials: An update

V Patel, V Chavda - Cancer Pathogenesis and Therapy, 2024 - mednexus.org
Surgical excision is an important part of the multimodal therapy strategy for patients with
glioblastoma, a very aggressive and invasive brain tumor. While major advances in surgical …

Structural and functional correlates of the response to deep brain stimulation at ventral capsule/ventral striatum region for treatment-resistant depression

Y Lai, L Dai, T Wang, Y Zhang, Y Zhao… - Journal of Neurology …, 2023 - jnnp.bmj.com
Background Though deep brain stimulation (DBS) shows increasing potential in treatment-
resistant depression (TRD), the underlying neural mechanisms remain unclear. Here, we …

[HTML][HTML] Alterations of functional connectivity in patients with restless legs syndrome

KM Park, KT Kim, KW Kang, JA Park… - Journal of Clinical …, 2022 - ncbi.nlm.nih.gov
Restless legs syndrome (RLS) is a common neurological illness marked by a strong desire
to move one's legs, usually in association with uncomfortable sensations. Recent studies …