Machine Learning Evidence for Sex Differences Consistently Influences Resting-State Functional Magnetic Resonance Imaging Fluctuations Across Multiple Independently Acquired Data Sets-Reference-Cited by-同舟云学术

Machine Learning Evidence for Sex Differences Consistently Influences Resting-State Functional Magnetic Resonance Imaging Fluctuations Across Multiple Independently Acquired Data Sets

Published:2021-10-06 Issue: Volume: Page:
ISSN:2158-0014
Container-title:Brain Connectivity
language:en
Short-container-title:Brain Connectivity

Author:

Al Zoubi Obada¹²,Misaki Masaya¹,Tsuchiyagaito Aki¹^ORCID,Zotev Vadim¹,White Evan¹,Paulus Martin¹,Bodurka Jerzy¹³^ORCID

Affiliation:

1. Laureate Institute for Brain Research, Tulsa, Oklahoma, USA.

2. Department of Psychiatry, Harvard Medical School/McLean Hospital, Boston, Massachusetts, USA.

3. Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, USA.

Publisher

Mary Ann Liebert Inc

Subject

General Neuroscience

Link

https://www.liebertpub.com/doi/pdf/10.1089/brain.2020.0878

Reference102 articles.

1. Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework

2. Predicting Age From Brain EEG Signals—A Machine Learning Approach

3. Predicting Sex from Resting-State fMRI Across Multiple Independent Acquired Datasets

4. A Baseline for the Multivariate Comparison of Resting-State Networks

5. Altered amplitude of low frequency fluctuations in schizophrenia patients with persistent auditory verbal hallucinations

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