Results 11 to 20 of about 9,228 (224)
Connectomics of human electrophysiology
NeuroImage, 2022 We present both a scientific overview and conceptual positions concerning the challenges and assets of electrophysiological measurements in the search for the nature and functions of the human connectome.
Sepideh Sadaghiani +2 more
doaj +4 more sources
Sweetspot Mapping in Deep Brain Stimulation: Strengths and Limitations of Current Approaches
Neuromodulation: Technology at the Neural Interface, EarlyView., 2021 Abstract Objectives Open questions remain regarding the optimal target, or sweetspot, for deep brain stimulation (DBS) in, for example, Parkinson's disease. Previous studies introduced different methods of mapping DBS effects to determine sweetspots. While having a direct impact on surgical targeting and postoperative programming in DBS, these methods ...
Till A. Dembek +7 more
wiley +1 more source
Exploring the latent structure of behavior using the Human Connectome Project’s data
Scientific Reports, 2023 How behavior arises from brain physiology has been one central topic of investigation in neuroscience. Considering the recent interest in predicting behavior from brain imaging using open datasets, there is the need for a principled approach to the ...
Mikkel Schöttner +5 more
doaj +1 more source
Comparative Connectomics [PDF]
Trends in Cognitive Sciences, 2016 We introduce comparative connectomics, the quantitative study of cross-species commonalities and variations in brain network topology that aims to discover general principles of network architecture of nervous systems and the identification of species-specific features of brain connectivity. By comparing connectomes derived from simple to more advanced
van den Heuvel, Martijn P +2 more
openaire +3 more sources
Cell-type specific innervation of cortical pyramidal cells at their apical dendrites
eLife, 2020 We investigated the synaptic innervation of apical dendrites of cortical pyramidal cells in a region between layers (L) 1 and 2 using 3-D electron microscopy applied to four cortical regions in mouse.
Ali Karimi +4 more
doaj +1 more source
Current Opinion in Neurobiology, 2012 Recent advances in non-invasive neuroimaging have enabled the measurement of connections between distant regions in the living human brain, thus opening up a new field of research: Human connectomics. Different imaging modalities allow the mapping of structural connections (axonal fibre tracts) as well as functional connections (correlations in time ...
Behrens, T, Sporns, O
openaire +2 more sources
Projection-dependent heterogeneity of cerebellar granule cell calcium responses
Molecular Brain, 2021 Cerebellar granule cells (GCs) relay mossy fiber (MF) inputs to Purkinje cell dendrites via their axons, the parallel fibers (PFs), which are individually located at a given sublayer of the molecular layer (ML). Although a certain degree of heterogeneity
Jun Kyu Rhee +4 more
doaj +1 more source
Functional connectomics in depression: insights into therapies
Trends in Cognitive Sciences, 2023 Depression is a common mental disorder characterized by heterogeneous cognitive and behavioral symptoms. The emerging research paradigm of functional connectomics has provided a quantitative theoretical framework and analytic tools for parsing variations
Y. Chai +5 more
semanticscholar +1 more source
Dynamics of pulsatile activities of arcuate kisspeptin neurons in aging female mice
eLife, 2023 Reproductive senescence is broadly observed across mammalian females, including humans, eventually leading to a loss of fertility. The pulsatile secretion of gonadotropin-releasing hormone (GnRH), which is essential for gonad function, is primarily ...
Teppei Goto +2 more
doaj +1 more source
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics [PDF]
Neural Information Processing Systems, 2023 Machine learning provides a valuable tool for analyzing high-dimensional functional neuroimaging data, and is proving effective in predicting various neurological conditions, psychiatric disorders, and cognitive patterns. In functional magnetic resonance
Anwar Said +6 more
semanticscholar +1 more source