[HTML][HTML] Repetitive transcranial magnetic stimulation-induced neuroplasticity and the treatment of psychiatric disorders: state of the evidence and future opportunities
SMDD Fitzsimmons, E Oostra, TS Postma… - Biological …, 2023 - Elsevier
Neuroplasticity, or activity-dependent neuronal change, is a crucial mechanism underlying
the mechanisms of effect of many therapies for neuropsychiatric disorders, one of which is …
the mechanisms of effect of many therapies for neuropsychiatric disorders, one of which is …
Cerebellar Functions Beyond Movement and Learning
LH Kim, DH Heck, RV Sillitoe - Annual Review of Neuroscience, 2024 - annualreviews.org
The cerebellum has a well-established role in controlling motor functions, including
coordination, posture, and the learning of skilled movements. The mechanisms for how it …
coordination, posture, and the learning of skilled movements. The mechanisms for how it …
Network-based spreading of gray matter changes across different stages of psychosis
Importance Psychotic illness is associated with anatomically distributed gray matter
reductions that can worsen with illness progression, but the mechanisms underlying the …
reductions that can worsen with illness progression, but the mechanisms underlying the …
[HTML][HTML] Functional connectome through the human life span
The lifespan growth of the functional connectome remains unknown. Here, we assemble
task-free functional and structural magnetic resonance imaging data from 33,250 individuals …
task-free functional and structural magnetic resonance imaging data from 33,250 individuals …
Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders
S Saponaro, F Lizzi, G Serra, F Mainas, P Oliva… - Brain Informatics, 2024 - Springer
Background: The integration of the information encoded in multiparametric MRI images can
enhance the performance of machine-learning classifiers. In this study, we investigate …
enhance the performance of machine-learning classifiers. In this study, we investigate …
Sex differences in trajectories of cortical development in autistic children from 2–13 years of age
DS Andrews, K Diers, JK Lee, DJ Harvey, B Heath… - Molecular …, 2024 - nature.com
Previous studies have reported alterations in cortical thickness in autism. However, few have
included enough autistic females to determine if there are sex specific differences in cortical …
included enough autistic females to determine if there are sex specific differences in cortical …
Genetically Encoded Photocatalysis Enables Spatially Restricted Optochemical Modulation of Neurons in Live Mice
K Zeng, ZH Jiao, Q Jiang, R He, Y Zhang… - ACS Central …, 2023 - ACS Publications
Light provides high temporal precision for neuronal modulations. Small molecules are
advantageous for neuronal modulation due to their structural diversity, allowing them to suit …
advantageous for neuronal modulation due to their structural diversity, allowing them to suit …
Resting-state dynamic functional connectivity in major depressive disorder: A systematic review
As a novel measure, dynamic functional connectivity (dFC) provides insight into the dynamic
nature of brain networks and their interactions in resting-state, surpassing traditional static …
nature of brain networks and their interactions in resting-state, surpassing traditional static …
Reliable and generalizable brain-based predictions of cognitive functioning across common psychiatric illness
A primary aim of precision psychiatry is the establishment of predictive models linking
individual differences in brain functioning with clinical symptoms. In particular, cognitive …
individual differences in brain functioning with clinical symptoms. In particular, cognitive …
Extracting interpretable signatures of whole-brain dynamics through systematic comparison
Despite a rich and interdisciplinary literature on time-series analysis, the brain's complex
distributed dynamics are typically quantified using only a limited set of manually selected …
distributed dynamics are typically quantified using only a limited set of manually selected …