Results 181 to 190 of about 933,034 (232)

Parkinson's Disease Recognition Using Decorrelated Convolutional Neural Networks: Addressing Imbalance and Scanner Bias in rs-fMRI Data. [PDF]

Biosensors (Basel)
Patil P, Ford WR.
europepmc   +1 more source

Effect of Genetic Risk on the Relationship Between rs-fMRI Complexity and Tau and Amyloid PET in Alzheimer's Disease. [PDF]

J Alzheimers Dis
Jann K, Cen S, Santos M, Aksman L, Wijesinghe D, Zhang R, Lynch K, Ringman JM, Wang DJ, Alzheimer’s Disease Neuroimaging Initiative.   +9 more
europepmc   +1 more source

Study Protocol for a Randomized Controlled Trial: Evaluating the Impact of Acupuncture on Menstrual Regulation and Pregnancy Enhancement in Patients with DOR Using Rs-fMRI to Assess Brain Functional Networks. [PDF]

J Multidiscip Healthc
Bai T, Zhou E, Wang K, Li W, Bi J, Ju J.
europepmc   +1 more source

The application value of Rs-fMRI-based machine learning models for differentiating mild cognitive impairment from Alzheimer's disease: a systematic review and meta-analysis. [PDF]

Neurol Sci
Wang C, Zhou L, Zhou F, Fu T.
europepmc   +1 more source

A Review of Resting-State fMRI and Its Use to Examine Psychiatric Disorders

Psychoradiology, 2021
Resting-state fMRI (rs-fMRI) has emerged as an alternative method to study brain function in human and animal models. In humans, it has been widely used to study psychiatric disorders including schizophrenia, bipolar disorder, autism spectrum disorders ...
Bharat B. Biswal, Donna Y Chen
exaly   +2 more sources

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Deep Network Optimization for rs-fMRI Classification

2019 International Conference on Data Mining Workshops (ICDMW), 2019
Automatic detection of Attention Deficit Hyperactivity Disorder (ADHD) using resting-state - functional Magnetic Resonance Imaging (rs-fMRI) data is challenging due to the small number of samples, variations in acquisition technologies/techniques, imbalance in class distribution and high dimensionality of the data. In this paper, a Convolutional Neural
Abhay M. S. Aradhya, Andri Ashfahani
openaire   +2 more sources

Spatial discriminant ICA for RS-fMRI characterisation

2014 International Workshop on Pattern Recognition in Neuroimaging, 2014
Resting-State fMRI (RS-fMRI) is a brain imaging technique useful for exploring functional connectivity. A major point of interest in RS-fMRI analysis is to isolate connectivity patterns characterising disorders such as for instance ADHD. Such characterisation is usually performed in two steps: first, all connectivity patterns in the data are extracted ...
Alejandro Tabas, Emili Balaguer-Ballester, Laura Igual   +2 more
openaire   +1 more source