Results 71 to 80 of about 64,126 (335)

The α-Synuclein Origin and Connectome Model (SOC Model) of Parkinson’s Disease: Explaining Motor Asymmetry, Non-Motor Phenotypes, and Cognitive Decline

open access: yesJournal of Parkinson's Disease, 2021
A new model of Parkinson’s disease (PD) pathogenesis is proposed, the α-Synuclein Origin site and Connectome (SOC) model, incorporating two aspects of α-synuclein pathobiology that impact the disease course for each patient: the anatomical location of ...
P. Borghammer
semanticscholar   +1 more source

Disambiguating the role of blood flow and global signal with partial information decomposition [PDF]

open access: yes, 2019
Global signal (GS) is an ubiquitous construct in resting state functional magnetic resonance imaging (rs-fMRI), associated to nuisance, but containing by definition most of the neuronal signal.
Calhoun, Vince D.   +5 more
core   +2 more sources

Data leakage inflates prediction performance in connectome-based machine learning models

open access: yesNature Communications
Predictive modeling is a central technique in neuroimaging to identify brain-behavior relationships and test their generalizability to unseen data. However, data leakage undermines the validity of predictive models by breaching the separation between ...
M. Rosenblatt   +4 more
semanticscholar   +1 more source

Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0 [PDF]

open access: yesCognitive Neurodynamics, 2016
Connections of the living human brain, on a macroscopic scale, can be mapped by a diffusion MR imaging based workflow. Since the same anatomic regions can be corresponded between distinct brains, one can compare the presence or the absence of the edges, connecting the very same two anatomic regions, among multiple cortices.
Csaba Kerepesi   +4 more
openaire   +5 more sources

Multimodal precision MRI of the individual human brain at ultra-high fields

open access: yesScientific Data
Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales.
Donna Gift Cabalo   +18 more
doaj   +1 more source

Decoupling of brain function from structure reveals regional behavioral specialization in humans

open access: yes, 2019
The brain is an assembly of neuronal populations interconnected by structural pathways. Brain activity is expressed on and constrained by this substrate.
Preti, Maria Giulia   +1 more
core   +1 more source

Brain networks under attack : robustness properties and the impact of lesions [PDF]

open access: yes, 2016
A growing number of studies approach the brain as a complex network, the so-called ‘connectome’. Adopting this framework, we examine what types or extent of damage the brain can withstand—referred to as network ‘robustness’—and conversely, which kind of ...
Aerts, Hannelore   +3 more
core   +2 more sources

Connectome-constrained networks predict neural activity across the fly visual system

open access: yesNature
We can now measure the connectivity of every neuron in a neural circuit1–9, but we cannot measure other biological details, including the dynamical characteristics of each neuron.
Janne K. Lappalainen   +9 more
semanticscholar   +1 more source

The Human Connectome: A Structural Description of the Human Brain

open access: yesPLoS Comput. Biol., 2005
The connection matrix of the human brain (the human “connectome”) represents an indispensable foundation for basic and applied neurobiological research.
O. Sporns, G. Tononi, R. Kötter
semanticscholar   +1 more source

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo   +11 more
wiley   +1 more source

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