Cerebral angiography for multimodal surgical planning in epilepsy surgery: description of a new three-dimensional technique and literature review

F Cardinale, G Pero, L Quilici, M Piano, P Colombo… - World neurosurgery, 2015 - Elsevier
Objective Cerebrovascular imaging is critical for safe and accurate planning of Stereo-
ElectroEncephaloGraphy (SEEG) electrode trajectory. We developed a new technique for …

Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study

MP Paulus, LM Squeglia, K Bagot, J Jacobus… - Neuroimage, 2019 - Elsevier
The adolescent brain undergoes profound structural changes which is influenced by many
factors. Screen media activity (SMA; eg, watching television or videos, playing video games …

Cognitive aging and the hippocampus in older adults

A O'Shea, RA Cohen, EC Porges, NR Nissim… - Frontiers in aging …, 2016 - frontiersin.org
The hippocampus is one of the most well studied structures in the human brain. While age-
related decline in hippocampal volume is well documented, most of our knowledge about …

Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion

NK Savalia, PF Agres, MY Chan, EJ Feczko… - Human brain …, 2017 - Wiley Online Library
Abstract Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI)
results in misestimates of brain structure. Because conventional T1w scans are not collected …

Socioeconomic status moderates age-related differences in the brain's functional network organization and anatomy across the adult lifespan

MY Chan, J Na, PF Agres, NK Savalia… - Proceedings of the …, 2018 - National Acad Sciences
An individual's environmental surroundings interact with the development and maturation of
their brain. An important aspect of an individual's environment is his or her socioeconomic …

Cortical thickness estimations of FreeSurfer and the CAT12 toolbox in patients with Alzheimer's disease and healthy controls

R Seiger, S Ganger, GS Kranz, A Hahn… - Journal of …, 2018 - Wiley Online Library
ABSTRACT BACKGROUND AND PURPOSE Automated cortical thickness (CT)
measurements are often used to assess gray matter changes in the healthy and diseased …

Identification of different MRI atrophy progression trajectories in epilepsy by subtype and stage inference

F Xiao, L Caciagli, B Wandschneider, D Sone… - Brain, 2023 - academic.oup.com
Artificial intelligence (AI)-based tools are widely employed, but their use for diagnosis and
prognosis of neurological disorders is still evolving. Here we analyse a cross-sectional …

[HTML][HTML] Machine learning and individual variability in electric field characteristics predict tDCS treatment response

A Albizu, R Fang, A Indahlastari, A O'Shea, SE Stolte… - Brain stimulation, 2020 - Elsevier
Background Transcranial direct current stimulation (tDCS) is widely investigated as a
therapeutic tool to enhance cognitive function in older adults with and without …

Test–retest reliability of brain morphology estimates

CR Madan, EA Kensinger - Brain informatics, 2017 - Springer
Metrics of brain morphology are increasingly being used to examine inter-individual
differences, making it important to evaluate the reliability of these structural measures. Here …

[HTML][HTML] Cortical thickness gradients in structural hierarchies

K Wagstyl, L Ronan, IM Goodyer, PC Fletcher - Neuroimage, 2015 - Elsevier
MRI, enabling in vivo analysis of cortical morphology, offers a powerful tool in the
assessment of brain development and pathology. One of the most ubiquitous measures …