Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities [PDF]
A primary challenge to the data-driven analysis is the balance between poor generalizability of population-based research and characterizing more subject-, study- and population-specific variability.
Vince D. Calhoun, Yuhui Du, Zening Fu
exaly +5 more sources
Clinical evaluation of a novel multipoint radiofrequency ablation device to treat chronic rhinitis [PDF]
Objective Safety and efficacy of the NEUROMARK® system for treating chronic rhinitis. Methods A prospective, single‐arm, multicenter study was performed on adults with chronic rhinitis who underwent radiofrequency ablation to the posterior nasal nerves ...
Ellen M. O'Malley, David M Yen
exaly +4 more sources
A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitry [PDF]
Psychosis (including symptoms of delusions, hallucinations, and disorganized conduct/speech) is a main feature of schizophrenia and is frequently present in other major psychiatric illnesses.
Dylan Seebold, Koko Ishizuka
exaly +5 more sources
Aberrant cortical–subcortical-cerebellar connectivity in resting-state fMRI as an imaging marker of schizophrenia and psychosis: a systematic review of data-driven whole-brain functional connectivity analyses [PDF]
IntroductionSchizophrenia is extremely heterogenous, and the underlying brain mechanisms are not fully understood. Many attempts have been made to substantiate and delineate the relationship between schizophrenia and the brain through unbiased ...
Kyle M. Jensen +7 more
doaj +4 more sources
# Introduction Molecular imaging analyses using positron emission tomography (PET) data often rely on macro-anatomical regions of interest (ROI), which may not align with chemo-architectural boundaries and obscure functional distinctions.
Murat Bilgel +2 more
exaly +4 more sources
Classifying schizophrenia patients and healthy individuals: Whole brain SPECT functional connectivity using support vector machine classification [PDF]
Background: Functional magnetic resonance imaging (fMRI) has been used to characterize functional brain networks in disorders ranging from depression to schizophrenia.
Amritha Harikumar +5 more
doaj +4 more sources
Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer’s Disease and Cognitive Impairment [PDF]
Network neuroscience, a multidisciplinary field merging insights from neuroscience and network theory, offers a profound understanding of neural network intricacies. However, the impact of varying node sizes on computed graph metrics in neuroimaging data
Sahithi Kolla +4 more
doaj +3 more sources
NeuroMark-DyFICA: NeuroMark dynamic frequency-informed ICA with high-frequency spatial filtering for windowed fMRI analysis. [PDF]
Abstract Fine-scale spatial dynamics within functional brain networks manifest as high spatial-frequency variations that conventional independent component analysis (ICA) methods fail to capture. These subtle changes may carry critical information about transient connectivity and disordered brain function.
Vince D. Calhoun +2 more
exaly +3 more sources
This Article predicts trademark law’s impending neural turn. A growing legal literature debates the proper role of neuroscientific evidence. Yet outside of criminal law, analysis of neuroscientific evidence in the courtroom has been lacking.
Bartholomew, Mark
core +4 more sources
Age-related network connectivity pattern changes are associated with risk for psychosis
Introduction Psychosis onset typically occurs during adolescence or early adulthood, coinciding with the latest stage of brain maturation. Alterations in brain functional connectivity (FC) accompany the emergence of psychiatric symptoms and cognitive ...
R. Passiatore +16 more
doaj +2 more sources

