Relevance of magnetic resonance imaging for early detection and diagnosis of Alzheimer disease

SJ Teipel, M Grothe, S Lista, N Toschi… - Medical …, 2013 - medical.theclinics.com
Alzheimer disease (AD) is the most common cause of dementia in the elderly. Autopsy case
series on the sequential accumulation of neurofibrillary bundles and amyloid plaques, as …

[HTML][HTML] Dynamic functional connectivity in schizophrenia and bipolar disorder: A review of the evidence and associations with psychopathological features

G Cattarinussi, A Di Giorgio, F Moretti, E Bondi… - Progress in Neuro …, 2023 - Elsevier
Alterations of functional network connectivity have been implicated in the pathophysiology of
schizophrenia (SCZ) and bipolar disorder (BD). Recent studies also suggest that the …

Default mode network complexity and cognitive decline in mild Alzheimer's disease

M Grieder, DJJ Wang, T Dierks, LO Wahlund… - Frontiers in …, 2018 - frontiersin.org
The human resting-state is characterized by spatially coherent brain activity at a low
temporal frequency. The default mode network (DMN), one of so-called resting-state …

Brain entropy mapping using fMRI

Z Wang, Y Li, AR Childress, JA Detre - PloS one, 2014 - journals.plos.org
Entropy is an important trait for life as well as the human brain. Characterizing brain entropy
(BEN) may provide an informative tool to assess brain states and brain functions. Yet little is …

Resting state fMRI entropy probes complexity of brain activity in adults with ADHD

MO Sokunbi, W Fung, V Sawlani, S Choppin… - Psychiatry Research …, 2013 - Elsevier
In patients with attention deficit hyperactivity disorder (ADHD), quantitative neuroimaging
techniques have revealed abnormalities in various brain regions, including the frontal …

Network complexity as a measure of information processing across resting-state networks: evidence from the Human Connectome Project

IM McDonough, K Nashiro - Frontiers in human neuroscience, 2014 - frontiersin.org
An emerging field of research focused on fluctuations in brain signals has provided
evidence that the complexity of those signals, as measured by entropy, conveys important …

We should be using nonlinear indices when relating heart-rate dynamics to cognition and mood

H Young, D Benton - Scientific reports, 2015 - nature.com
Both heart rate (HR) and brain functioning involve the integrated output of a multitude of
regulatory mechanisms, that are not quantified adequately by linear approximations such as …

Nonlinear complexity analysis of brain FMRI signals in schizophrenia

MO Sokunbi, VB Gradin, GD Waiter, GG Cameron… - Plos one, 2014 - journals.plos.org
We investigated the differences in brain fMRI signal complexity in patients with
schizophrenia while performing the Cyberball social exclusion task, using measures of …

Rostro-caudal architecture of the frontal lobes in humans

M Thiebaut de Schotten, M Urbanski… - Cerebral …, 2017 - academic.oup.com
The nature of the inputs and outputs of a brain region defines its functional specialization.
The frontal portion of the brain is essential for goal-directed behaviors, however, the …

Task‐induced changes in brain entropy

A Camargo, G Del Mauro… - Journal of Neuroscience …, 2024 - Wiley Online Library
Entropy indicates irregularity of a dynamic system, with higher entropy indicating higher
irregularity and more transit states. In the human brain, regional brain entropy (BEN) has …