Sex classification by resting state brain connectivity

S Weis, KR Patil, F Hoffstaedter, A Nostro… - Cerebral …, 2020 - academic.oup.com
A large amount of brain imaging research has focused on group studies delineating
differences between males and females with respect to both cognitive performance as well …

[HTML][HTML] The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging

M Lavanga, J Stumme, BH Yalcinkaya, J Fousek… - NeuroImage, 2023 - Elsevier
The mechanisms of cognitive decline and its variability during healthy aging are not fully
understood, but have been associated with reorganization of white matter tracts and …

[HTML][HTML] Functional parcellation of human and macaque striatum reveals human-specific connectivity in the dorsal caudate

X Liu, SB Eickhoff, S Caspers, J Wu, S Genon… - Neuroimage, 2021 - Elsevier
A wide homology between human and macaque striatum is often assumed as in both the
striatum is involved in cognition, emotion and executive functions. However, differences in …

Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder

S Berto, AH Treacher, E Caglayan, D Luo… - Nature …, 2022 - nature.com
Gene expression covaries with brain activity as measured by resting state functional
magnetic resonance imaging (MRI). However, it is unclear how genomic differences driven …

Interrelating differences in structural and functional connectivity in the older adult's brain

J Stumme, C Krämer, T Miller, J Schreiber… - Human brain …, 2022 - Wiley Online Library
In the normal aging process, the functional connectome restructures and shows a shift from
more segregated to more integrated brain networks, which manifests itself in highly different …

Association between long-term air pollution, chronic traffic noise, and resting-state functional connectivity in the 1000BRAINS study

L Glaubitz, J Stumme, S Lucht, S Moebus… - Environmental …, 2022 - ehp.niehs.nih.gov
Background: Older adults show a high variability in cognitive performance that cannot be
explained by aging alone. Although research has linked air pollution and noise to cognitive …

[HTML][HTML] fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations

H Vu, HC Kim, M Jung, JH Lee - NeuroImage, 2020 - Elsevier
Deep-learning methods based on deep neural networks (DNNs) have recently been
successfully utilized in the analysis of neuroimaging data. A convolutional neural network …

Evidence of ongoing cerebral microstructural reorganization in children with persisting symptoms following mild traumatic brain injury: a NODDI DTI analysis

A Stein, X Vinh To, FA Nasrallah… - Journal of …, 2024 - liebertpub.com
Approximately 300–550 children per 100,000 sustain a mild traumatic brain injury (mTBI)
each year, of whom∼ 25–30% have long-term cognitive problems. Following mTBI, free …

The virtual aging brain: a model-driven explanation for cognitive decline in older subjects

M Lavanga, J Stumme, BH Yalcinkaya, J Fousek… - bioRxiv, 2022 - biorxiv.org
Healthy aging is accompanied by heterogeneous decline of cognitive abilities among
individuals, especially during senescence. The mechanisms of this variability are not …

A roadmap of brain recovery in a mouse model of concussion: insights from neuroimaging

XV To, FA Nasrallah - Acta neuropathologica communications, 2021 - Springer
Concussion or mild traumatic brain injury is the most common form of traumatic brain injury
with potentially long-term consequences. Current objective diagnosis and treatment options …