The replication crisis in science has not spared functional magnetic resonance imaging (fMRI) research. A range of issues including insufficient control false positives, code bugs, concern regarding generalizability and replicability findings, inadequate characterization physiological confounds, over-mining repository datasets, the small sample sizes/low power many early studies have led to hea...

Background Despite the important role of amyloid-beta protein (Aβ) in initiation and progression Alzheimer’s Disease (AD), precise mechanism by which Aβ disrupts neuronal activity (NA) structure during disease development, whether this is an appropriate therapeutic target still controversial. Recently, we introduced several novel NA metrics (Kazemeifar, PLoS One 2017; Haddad, ISMRM 2019) based ...

The characteristics of smartphone addiction (SPA) can be evaluated by neuroimaging studies. Information on the brain structural alterations, and effects psychosocial wellbeing, however, have not been concurrently evaluated. aim this study was to identify abnormalities in gray matter volume using voxel-based morphometry (VBM) neuronal functional alterations resting-state MRI (rs-fMRI) emerging a...

Human intelligence has always been a fascinating subject for scientists. Since the inception of Spearman’s general intelligence in the early 1900s, there has been significant progress towards characterizing different aspects of intelligence and its relationship with structural and functional features of the brain. In recent years, the invention of sophisticated brain imaging devices using Diffu...

In EEG data acquired in the presence of fMRI, gradient-related spike artifacts contaminate signal following common preprocessing step average artifact subtraction. Spike compromise quality since they overlap with frequency, thereby confounding frequency-based inferences on activity. As well, can inflate or deflate correlations among time series, functional connectivity. We present Schrödinger f...

background: chronic daily headache (cdh) has gained little attention in functional neuro-imaging. when no structural abnormality is found in cdh, defining functional correlates between activated brain regions during headache bouts may provide unique insights towards understanding the pathophysiology of this type of headache. methods: we recruited four cdh cases for comprehensive assessments, in...

The complexity of the human brain gives illusion that activity is intrinsically high-dimensional. Nonlinear dimensionality-reduction methods such as uniform manifold approximation and t-distributed stochastic neighbor embedding have been used for high-throughput biomedical data. However, they not extensively data those from functional magnetic resonance imaging (fMRI), primarily due to their in...