Functional Magnetic Resonance Imaging

Functional Magnetic Resonance Imaging (fMRI) studies brain activity by measuring blood oxygenation levels, aiming to understand brain function and its relation to cognition and behavior. Current research heavily utilizes deep learning, including transformer networks, autoencoders, and diffusion models, to analyze high-dimensional fMRI data, improve spatial and temporal resolution, and decode cognitive states or even reconstruct visual imagery from brain activity. These advancements are improving diagnostic accuracy for neurological disorders like autism and Alzheimer's disease, and enabling novel applications such as personalized brain-computer interfaces and the development of more brain-like artificial intelligence models.

Papers

February 25, 2023

BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding
Yulong Liu, Yongqiang Ma, Wei Zhou, Guibo Zhu, Nanning Zheng
Vision Language Model Functional Magnetic Resonance Imaging Visual Stimulus fMRI to Text Bridging Natural Language Processing

February 23, 2023

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks
Mianxin Liu, Jingyang Zhang, Yao Wang, Yan Zhou, Fang Xie, Qihao Guo, Feng Shi, Han Zhang, Qian Wang, Dinggang Shen
Deep Learning Functional Magnetic Resonance Imaging Brain Network Brain Function Cognitive Decline Brain Disorder Functional Network Hire Spectrum Different Brain

February 10, 2023

Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment
Abdolmahdi Bagheri, Mahdi Dehshiri, Yamin Bagheri, Alireza Akhondi-Asl, Babak Nadjar Araabi
Causal Discovery Functional Magnetic Resonance Imaging Direct Assessment Human Connectome Project Bayesian Causal Discovery Effective Connectome

February 1, 2023

ImageNomer: description of a functional connectivity and omics analysis tool and case study identifying a race confound
Anton Orlichenko, Grant Daly, Ziyu Zhou, Anqi Liu, Hui Shen, Hong-Wen Deng, Yu-Ping Wang
Functional Magnetic Resonance Imaging Description Library Functional Connectivity Latent Confounding Neurodevelopmental Disorder Omics Data

January 16, 2023

Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions
Shradha Verma, Tripti Goel, M Tanveer, Weiping Ding, Rahul Sharma, R Murugan
New Machine Functional Magnetic Resonance Imaging Comprehensive Review Barzilai Borwein Technique Research Direction Schizophrenia Diagnosis

January 13, 2023

Biases in Inverse Ising Estimates of Near-Critical Behaviour
Maximilian Benedikt Kloucek, Thomas Machon, Shogo Kajimura, C. Patrick Royall, Naoki Masuda, Francesco Turci
Functional Magnetic Resonance Imaging Topic Bias Ising Model Criticality Ordered Spin Sequence Pseudo Likelihood Criticality Analysis

January 6, 2023

Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks
Shuai Liu, Xiao Guo, Shun Qi, Huaning Wang, Xiangyu Chang
Functional Magnetic Resonance Imaging Multi Site Joint Estimation Major Depressive Disorder Multi Site Data Functional Network Connectivity

December 13, 2022

Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli
Matteo Ferrante, Tommaso Boccato, Nicola Toschi
Image Reconstruction Functional Magnetic Resonance Imaging Brain Decoding fMRI Signal Visual Stimulus

December 5, 2022

Decoding natural image stimuli from fMRI data with a surface-based convolutional network
Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert Sabuncu
Deep Convolutional Neural Network Functional Magnetic Resonance Imaging Convolutional Neural Network Model Visual Stimulus Image Decoder Semantic Fidelity

December 4, 2022

Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey
Gita Sarafraz, Armin Behnamnia, Mehran Hosseinzadeh, Ali Balapour, Amin Meghrazi, Hamid R. Rabiee
Domain Adaptation Strong Generalization Comprehensive Survey Functional Magnetic Resonance Imaging Brain Signal Training Data Distribution

November 29, 2022

Self-Supervised Mental Disorder Classifiers via Time Reversal
Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey Plis
Functional Magnetic Resonance Imaging Independent Component Analysis Time Reversal Independent Component

November 27, 2022

Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI
Xueqing Liu, Tao Tu, Paul Sajda
Functional Magnetic Resonance Imaging EEG Data Intermediate Latent Trained Source Model Multi Channel EEG Video Transcoding

November 26, 2022

Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices
Joseph Stember, Mehrnaz Jenabi, Luca Pasquini, Kyung Peck, Andrei Holodny, Hrithwik Shalu
Functional Magnetic Resonance Imaging Neural Activity Functional Connectivity Connectivity Matrix

November 25, 2022

Learning Large Causal Structures from Inverse Covariance Matrix via Sparse Matrix Decomposition
Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag
Causal Structure Functional Magnetic Resonance Imaging Structural Equation Structural Causal Matrix Decomposition Sparse Decomposition

November 23, 2022

A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder
Sadi Md. Redwan, Md Palash Uddin, Muhammad Imran Sharif, Anwaar Ulhaq
Functional Magnetic Resonance Imaging Human Brain Brain Activity Resting State Network Theory

November 11, 2022

Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence
Yang Li, Xin Ma, Raj Sunderraman, Shihao Ji, Suprateek Kundu
Human Prediction Functional Magnetic Resonance Imaging Cognitive Intelligence Functional Connectivity R fMRI Temporal Variation

November 4, 2022

Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks
Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge
Functional Magnetic Resonance Imaging Brain Network Temporal Attention Network

November 1, 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Graph Neural Network Functional Magnetic Resonance Imaging Brain Network Functional Connectome fMRI Analysis Effective Connectome

October 31, 2022

Emotional Brain State Classification on fMRI Data Using Deep Residual and Convolutional Networks
Maxime Tchibozo, Donggeun Kim, Zijing Wang, Xiaofu He
Convolutional Neural Network Functional Magnetic Resonance Imaging Residual Image Group Level Emotion

October 23, 2022

fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationships
Alexander Kovalev, Ilia Mikheev, Alexei Ossadtchi
Deep Learning Digital Twin Greater Public Use Functional Magnetic Resonance Imaging Multi Channel EEG Wearable Brain Computer Interface

Functional Magnetic Resonance Imaging

Papers

BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks

Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment

ImageNomer: description of a functional connectivity and omics analysis tool and case study identifying a race confound

Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions

Biases in Inverse Ising Estimates of Near-Critical Behaviour

Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks

Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli

Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey

Self-Supervised Mental Disorder Classifiers via Time Reversal

Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI

Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices

Learning Large Causal Structures from Inverse Covariance Matrix via Sparse Matrix Decomposition

A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder

Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence

Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks

Emotional Brain State Classification on fMRI Data Using Deep Residual and Convolutional Networks

fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationships