The prediction of brain activity from connectivity: advances and applications

M Bernstein-Eliav, I Tavor - The Neuroscientist, 2024 - journals.sagepub.com
The human brain is composed of multiple, discrete, functionally specialized regions that are
interconnected to form large-scale distributed networks. Using advanced brain-imaging …

A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity

J Tanner, J Faskowitz, AS Teixeira, C Seguin… - Nature …, 2024 - nature.com
The macroscale connectome is the network of physical, white-matter tracts between brain
areas. The connections are generally weighted and their values interpreted as measures of …

Functional dysconnectivity of visual and somatomotor networks yields a simple and robust biomarker for psychosis

BP Keane, YT Abrham, MW Cole, BA Johnson… - Molecular …, 2024 - nature.com
People with psychosis exhibit thalamo-cortical hyperconnectivity and cortico-cortical
hypoconnectivity with sensory networks, however, it remains unclear if this applies to all …

Overview on cognitive impairment in psychotic disorders: From impaired microcircuits to dysconnectivity

L Mana, M Schwartz-Pallejà, M Vila-Vidal… - Schizophrenia Research, 2024 - Elsevier
Schizophrenia's cognitive deficits, often overshadowed by positive symptoms, significantly
contribute to the disorder's morbidity. Increasing attention highlights these deficits as …

Neural representation dynamics reveal computational principles of cognitive task learning

RD Mill, MW Cole - BioRxiv, 2023 - biorxiv.org
During cognitive task learning, neural representations must be rapidly constructed for novel
task performance, then optimized for robust practiced task performance. How the geometry …

[HTML][HTML] Generalizing prediction of task-evoked brain activity across datasets and populations

N Tik, S Gal, A Madar, T Ben-David, M Bernstein-Eliav… - Neuroimage, 2023 - Elsevier
Predictions of task-based functional magnetic resonance imaging (fMRI) from task-free
resting-state (rs) fMRI have gained popularity over the past decade. This method holds a …

[HTML][HTML] Deep learning models of cognitive processes constrained by human brain connectomes

Y Zhang, N Farrugia, P Bellec - Medical image analysis, 2022 - Elsevier
Decoding cognitive processes from recordings of brain activity has been an active topic in
neuroscience research for decades. Traditional decoding studies focused on pattern …

Working memory in people with schizophrenia

JM Gold, SJ Luck - … Functioning in Schizophrenia: Leveraging the RDoC …, 2022 - Springer
Working memory (WM) refers to the ability to maintain a small number of representations in
an activated, easily accessible state for a short period of time in the service of ongoing …

Transcriptomic similarity informs neuromorphic deviations in depression biotypes

J Li, Z Long, W Sheng, L Du, J Qiu, H Chen, W Liao - Biological psychiatry, 2024 - Elsevier
Background Major depressive disorder (MDD) is complicated by population heterogeneity,
motivating the investigation of biotypes through imaging-derived phenotypes. However …

[HTML][HTML] Predicting an individual's cerebellar activity from functional connectivity fingerprints

V Tripathi, DC Somers - NeuroImage, 2023 - Elsevier
The cerebellum is gaining scientific attention as a key neural substrate of cognitive function;
however, individual differences in the cerebellar organization have not yet been well …