Role of artificial intelligence techniques and neuroimaging modalities in detection of Parkinson's disease: a systematic review
Abstract Parkinson's disease (PD), a neurodegenerative disorder, is caused due to the lack
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …
Mapping the effects of pregnancy on resting state brain activity, white matter microstructure, neural metabolite concentrations and grey matter architecture
E Hoekzema, H van Steenbergen, M Straathof… - Nature …, 2022 - nature.com
While animal studies have demonstrated a unique reproduction-related neuroplasticity, little
is known on the effects of pregnancy on the human brain. Here we investigated whether …
is known on the effects of pregnancy on the human brain. Here we investigated whether …
Evaluation of functional MRI-based human brain parcellation: a review
Brain parcellations play a crucial role in the analysis of brain imaging data sets, as they can
significantly affect the outcome of the analysis. In recent years, several novel approaches for …
significantly affect the outcome of the analysis. In recent years, several novel approaches for …
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning
Alzheimer's disease is a neurodegenerative condition that gradually impairs cognitive
abilities. Recently, various neuroimaging modalities and machine learning methods have …
abilities. Recently, various neuroimaging modalities and machine learning methods have …
[HTML][HTML] Amyloid induced hyperexcitability in default mode network drives medial temporal hyperactivity and early tau accumulation
In early Alzheimer's disease (AD) β-amyloid (Aβ) deposits throughout association cortex and
tau appears in the entorhinal cortex (EC). Why these initially appear in disparate locations is …
tau appears in the entorhinal cortex (EC). Why these initially appear in disparate locations is …
Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder
Schizophrenia (SZ) and autism spectrum disorder (ASD) share considerable clinical
features and intertwined historical roots. It is greatly needed to explore their similarities and …
features and intertwined historical roots. It is greatly needed to explore their similarities and …
Preparing fMRI data for statistical analysis
A Nieto-Castanon - arXiv preprint arXiv:2210.13564, 2022 - arxiv.org
This chapter describes several procedures used to prepare fMRI data for statistical analyses.
It includes the description of common preprocessing steps, such as spatial realignment …
It includes the description of common preprocessing steps, such as spatial realignment …
OViTAD: Optimized vision transformer to predict various stages of Alzheimer's disease using resting-state fMRI and structural MRI data
Advances in applied machine learning techniques for neuroimaging have encouraged
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …
scientists to implement models to diagnose brain disorders such as Alzheimer's disease at …
[HTML][HTML] Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease
Alzheimer's disease (AD) is characterised by a dynamic process of neurocognitive changes
from normal cognition to mild cognitive impairment (MCI) and progression to dementia …
from normal cognition to mild cognitive impairment (MCI) and progression to dementia …
Surface-based analysis increases the specificity of cortical activation patterns and connectivity results
Spatial smoothing of functional magnetic resonance imaging (fMRI) data can be performed
on volumetric images and on the extracted surface of the brain. Smoothing on the unfolded …
on volumetric images and on the extracted surface of the brain. Smoothing on the unfolded …