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 …
interconnected to form large-scale distributed networks. Using advanced brain-imaging …
A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity
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 …
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
People with psychosis exhibit thalamo-cortical hyperconnectivity and cortico-cortical
hypoconnectivity with sensory networks, however, it remains unclear if this applies to all …
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
Schizophrenia's cognitive deficits, often overshadowed by positive symptoms, significantly
contribute to the disorder's morbidity. Increasing attention highlights these deficits as …
contribute to the disorder's morbidity. Increasing attention highlights these deficits as …
Neural representation dynamics reveal computational principles of cognitive task learning
During cognitive task learning, neural representations must be rapidly constructed for novel
task performance, then optimized for robust practiced task performance. How the geometry …
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
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 …
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
Decoding cognitive processes from recordings of brain activity has been an active topic in
neuroscience research for decades. Traditional decoding studies focused on pattern …
neuroscience research for decades. Traditional decoding studies focused on pattern …
Working memory in people with schizophrenia
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 …
an activated, easily accessible state for a short period of time in the service of ongoing …
Transcriptomic similarity informs neuromorphic deviations in depression biotypes
Background Major depressive disorder (MDD) is complicated by population heterogeneity,
motivating the investigation of biotypes through imaging-derived phenotypes. However …
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 …
however, individual differences in the cerebellar organization have not yet been well …