Neuroimaging in schizophrenia: an overview of findings and their implications for synaptic changes
OD Howes, C Cummings, GE Chapman… - …, 2023 - nature.com
Over the last five decades, a large body of evidence has accrued for structural and metabolic
brain alterations in schizophrenia. Here we provide an overview of these findings, focusing …
brain alterations in schizophrenia. Here we provide an overview of these findings, focusing …
Imaging structural and functional brain development in early childhood
In humans, the period from term birth to∼ 2 years of age is characterized by rapid and
dynamic brain development and plays an important role in cognitive development and risk of …
dynamic brain development and plays an important role in cognitive development and risk of …
[HTML][HTML] Pros and cons of ultra-high-field MRI/MRS for human application
Magnetic resonance imaging and spectroscopic techniques are widely used in humans both
for clinical diagnostic applications and in basic research areas such as cognitive …
for clinical diagnostic applications and in basic research areas such as cognitive …
Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …
diagnoses and research which underpin many recent breakthroughs in medicine and …
MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice
J Sastre-Garriga, D Pareto, M Battaglini… - Nature Reviews …, 2020 - nature.com
Early evaluation of treatment response and prediction of disease evolution are key issues in
the management of people with multiple sclerosis (MS). In the past 20 years, MRI has …
the management of people with multiple sclerosis (MS). In the past 20 years, MRI has …
EEG-informed fMRI: a review of data analysis methods
The simultaneous acquisition of electroencephalography (EEG) with functional magnetic
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
Infant and child MRI: a review of scanning procedures
A Copeland, E Silver, R Korja, SJ Lehtola… - Frontiers in …, 2021 - frontiersin.org
Magnetic resonance imaging (MRI) is a safe method to examine human brain. However, a
typical MR scan is very sensitive to motion, and it requires the subject to lie still during the …
typical MR scan is very sensitive to motion, and it requires the subject to lie still during the …
Network accelerated motion estimation and reduction (NAMER): convolutional neural network guided retrospective motion correction using a separable motion model
Purpose We introduce and validate a scalable retrospective motion correction technique for
brain imaging that incorporates a machine learning component into a model‐based motion …
brain imaging that incorporates a machine learning component into a model‐based motion …
Distinctions among real and apparent respiratory motions in human fMRI data
Head motion estimates in functional magnetic resonance imaging (fMRI) scans appear
qualitatively different with sub-second image sampling rates compared to the multi-second …
qualitatively different with sub-second image sampling rates compared to the multi-second …
Deep learning for retrospective motion correction in MRI: a comprehensive review
Motion represents one of the major challenges in magnetic resonance imaging (MRI). Since
the MR signal is acquired in frequency space, any motion of the imaged object leads to …
the MR signal is acquired in frequency space, any motion of the imaged object leads to …