Results 81 to 90 of about 933,034 (232)

Predicting the brain state index, pupil dynamics, with rs-fMRI signal-trained models

, 2020
Lately, we have acquired the resting state fMRI (rs-fMRI) signal with pupillometry from anesthetized rats to investigate specific resting-state network correlations with brain state-specific pupil dynamics.
Yu, X., Sobczak, F., Pais-Roldán, P., Zhao, X.   +3 more
core  

Evaluation of Functional Decline in Alzheimer’s Dementia Using 3D Deep Learning and Group ICA for rs-fMRI Measurements

Frontiers in Aging Neuroscience, 2019
Purpose: To perform automatic assessment of dementia severity using a deep learning framework applied to resting-state functional magnetic resonance imaging (rs-fMRI) data.Method: We divided 133 Alzheimer’s disease (AD) patients with clinical dementia ...
Muhammad Naveed Iqbal Qureshi, Muhammad Naveed Iqbal Qureshi, Muhammad Naveed Iqbal Qureshi, Muhammad Naveed Iqbal Qureshi, Seungjun Ryu, Joonyoung Song, Kun Ho Lee, Kun Ho Lee, Boreom Lee   +8 more
doaj   +1 more source

ML of Striatum rs-fMRI Features Predicts TLE Diagnosis

, 2021
Abstract Objective: To determine whether patients with temporal lobe epilepsy (TLE) exhibit aberrant resting-state functional magnetic resonance imaging (rs-fMRI)-functional connectivity and build an individualized TLE prediction model using ML (ML). Methods: Sixty TLE patients and fifty-one controls underwent rs-fMRI scanning. The striatum was
Yanchun Jiang, Liluo Nie, yanbo zhang, huihua Liu, jinou Zheng   +4 more
openaire   +1 more source

Psychophysiological indicators of emotional arousal in sexual assault survivors: Evaluating ANS reactivity to therapeutic COPE cards within the SEE FAR CBT framework for PTSD treatment

Psychology and Psychotherapy: Theory, Research and Practice, EarlyView.
Abstract Objective SEE FAR CBT is an integrative treatment protocol for PTSD and anxiety disorders, utilizing imagery‐based (fantastic reality) methods through associative therapeutic COPE cards. Although preliminary evidence suggests potential impacts, further validation is necessary to confirm their efficacy in eliciting specific arousal‐affective ...
Sivan Raz, Noa Burchis, Mooli Lahad
wiley   +1 more source

Concordance between task-based (tb-fMRI, in green) and resting-state (rs-fMRI, in red) fMRI maps computed with aROI (top row) and ICA (bottom row).

, 2014
Overlap sensitivity (α) and specificity (β) of rs-fMRI with respect to tb-fMRI, obtained with operator-dependent thresholds, are reported. Light blue circle represents the Centre of Mass (CoM) of tb-fMRI, and pink circle represents the CoM of rs-fMRI ...
Maria Grazia Bruzzone (379153), Domenico Zacà (575746), Ludovico Minati (319734), Ludovico D’Incerti (575743), Giovanni Tringali (575747), Cristina Rosazza (575742), Domenico Aquino (543831), Roberto Cordella (575744), Adrian Andronache (575745)   +8 more
core   +1 more source

Considerations for Resting State Functional MRI and Functional Connectivity Studies in Rodents

Frontiers in Neuroscience, 2015
Resting state functional MRI (rs-fMRI) and functional connectivity mapping have become widely used tools in the human neuroimaging community and their use is rapidly spreading into the realm of rodent research as well.
Wen-Ju ePan, Jacob C. W. Billings, Joshua K Grooms, Sadia eShakil, Shella Dawn Keilholz   +4 more
doaj   +1 more source

Transdiagnostic patterns of electroencephalography (EEG)‐derived aperiodic activity across schizophrenia‐spectrum, bipolar, and depressive disorders: A systematic review

Psychiatry and Clinical Neurosciences, EarlyView.
Aperiodic electroencephalographic activity is proposed as a scalable marker of cortical population dynamics relevant to excitation–inhibition balance. However, it remains unclear whether aperiodic parameters represent disorder‐specific abnormalities or context‐sensitive indices of clinically relevant brain states.
Gia Han Le, Sabrina Wong, Sara Di Luch, Diana K. Orsini, Shreya Vasudeva, Sri Mahavir Agarwal, Cristian‐Daniel Llach, Joshua D. Rosenblat, Roger S. McIntyre   +8 more
wiley   +1 more source

Description of parameters used to examine the effect of the task on the fMRI measures in the post-task RS.

, 2021
Description of parameters used to examine the effect of the task on the fMRI measures in the post-task RS.
Shukti Ramkiran (11648871), Irene Neuner (294127), Hasan Sbaihat (11648868), Ravichandran Rajkumar (4433494), Abed Al-Nasser Assi (11648874), Tanja Veselinović (11648877), N. Jon Shah (7180958)   +6 more
core   +1 more source

Explainable Schizophrenia Classification from rs-fMRI Using SwiFT and TransLRP

Algorithms
Schizophrenia is challenging to identify from resting-state functional MRI (rs-fMRI) due to subtle, distributed changes and the clinical need for transparent models. We build on the Swin 4D fMRI Transformer (SwiFT) to classify schizophrenia vs. controls and explain predictions with Transformer Layer-wise Relevance Propagation (TransLRP).
Julian Weaver, Emerald Zhang, Nihita Sarma, Alaa Melek, Edward Castillo   +4 more
openaire   +2 more sources

Reference‐Superimposed Reconstruction (RS‐Recon) for Arterial Spin Labeling

Magnetic Resonance in Medicine, Volume 96, Issue 6, Page 2685-2697, December 2026.
ABSTRACT Purpose Conventional arterial spin labeling (ASL) reconstruction suffers from sign‐flipping errors and/or noise bias under strong background suppression (BS), limiting SNR optimization. We propose reference‐superimposed reconstruction (RS‐recon) to enable ideal BS and robust signal recovery.
Jia Guo
wiley   +1 more source