The locus coeruleus-norepinephrine system in stress and arousal: unraveling historical, current, and future perspectives

JA Ross, EJ Van Bockstaele - Frontiers in psychiatry, 2021 - frontiersin.org
Arousal may be understood on a spectrum, with excessive sleepiness, cognitive dysfunction,
and inattention on one side, a wakeful state in the middle, and hypervigilance, panic, and …

[HTML][HTML] Graph theory approach for the structural-functional brain connectome of depression

JY Yun, YK Kim - Progress in Neuro-Psychopharmacology and …, 2021 - Elsevier
To decipher the organizational styles of neural underpinning in major depressive disorder
(MDD), the current article reviewed recent neuroimaging studies (published during 2015 …

General anesthesia: a probe to explore consciousness

V Bonhomme, C Staquet, J Montupil… - Frontiers in Systems …, 2019 - frontiersin.org
General anesthesia reversibly alters consciousness, without shutting down the brain
globally. Depending on the anesthetic agent and dose, it may produce different …

Spindle–slow oscillation coupling correlates with memory performance and connectivity changes in a hippocampal network after sleep

L Bastian, A Samanta, D Ribeiro de Paula… - Human Brain …, 2022 - Wiley Online Library
After experiences are encoded, post‐encoding reactivations during sleep have been
proposed to mediate long‐term memory consolidation. Spindle–slow oscillation coupling …

Network representation learning: From traditional feature learning to deep learning

K Sun, L Wang, B Xu, W Zhao, SW Teng, F Xia - IEEE Access, 2020 - ieeexplore.ieee.org
Network representation learning (NRL) is an effective graph analytics technique and
promotes users to deeply understand the hidden characteristics of graph data. It has been …

Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study

Q Yu, Y Du, J Chen, H He, J Sui, G Pearlson… - Journal of neuroscience …, 2017 - Elsevier
Background A key challenge in building a brain graph using fMRI data is how to define the
nodes. Spatial brain components estimated by independent components analysis (ICA) and …

Functional connectivity is preserved but reorganized across several anesthetic regimes

JPCB Guillaume, T Habet, N Collomb, M Faucher… - NeuroImage, 2020 - Elsevier
Under anesthesia, systemic variables and CBF are modified. How does this alter the
connectivity measures obtained with rs-fMRI? To tackle this question, we explored the effect …

Multimodal neuroimaging approach to variability of functional connectivity in disorders of consciousness: a PET/MRI pilot study

C Cavaliere, S Kandeepan, M Aiello… - Frontiers in …, 2018 - frontiersin.org
Behavioral assessments could not suffice to provide accurate diagnostic information in
individuals with disorders of consciousness (DoC). Multimodal neuroimaging markers have …

Tinnitus distress: a paradoxical attention to the sound?

S Kandeepan, A Maudoux, D Ribeiro de Paula… - Journal of …, 2019 - Springer
Tinnitus, the perception of sound in the absence of external stimuli, is often a disturbing
symptom for which the underlying functional neuroanatomy still remains poorly understood …

Brain networks of rats under anesthesia using resting-state fMRI: comparison with dead rats, random noise and generative models of networks

GJPC Becq, EL Barbier, S Achard - Journal of Neural …, 2020 - iopscience.iop.org
Objective. Connectivity networks are crucial to understand the brain resting-state activity
using functional magnetic resonance imaging (rs-fMRI). Alterations of these brain networks …