Results 101 to 110 of about 264,340 (333)

Brain entropy and human intelligence: A resting-state fMRI study

PLoS ONE, 2018
Human intelligence comprises comprehension of and reasoning about an infinitely variable external environment. A brain capable of large variability in neural configurations, or states, will more easily understand and predict variable external events ...
G. Saxe, Daniel J. Calderone, L. Morales
semanticscholar   +1 more source

White Matter Dysfunction and Neurotransmitter Basis Underlying the Freezing of Gait in Parkinson's Disease

iNew Medicine, EarlyView.
In the freezing of gait in Parkinson's disease, white matter shows decreased local activity but increased functional connectivity. These distinct dysfunctions are uniquely associated with specific neurotransmitter systems (GABA, dopamine, etc.), mapping a new neurochemical basis for this debilitating symptom. ABSTRACT Freezing of gait (FOG) is a severe
Pingping Liu, Jinmei Sun, Lili Hu, Xin Chen, Jinying Han, Liuzhenxiong Yu, Siyu Fan, Rong Ye, Kai Wang, Gong‐Jun Ji, Panpan Hu   +10 more
wiley   +1 more source

Mind over chatter: plastic up-regulation of the fMRI alertness network by EEG neurofeedback [PDF]

, 2012
EEG neurofeedback (NFB) is a brain-computer interface (BCI) approach used to shape brain oscillations by means of real-time feedback from the electroencephalogram (EEG), which is known to reflect neural activity across cortical networks.
Jean Theberge, Maria Densmore, Paul A. Frewen, Rosemarie Kluetsch, Ruth A. Lanius, Tomas Ros, Vince D. Calhoun   +6 more
core   +1 more source

Comparing resting state fMRI de-noising approaches using multi- and single-echo acquisitions

PLoS ONE, 2017
Artifact removal in resting state fMRI (rfMRI) data remains a serious challenge, with even subtle head motion undermining reliability and reproducibility.
O. Dipasquale, Arjun Sethi, M. M. Laganá, F. Baglio, G. Baselli, P. Kundu, N. Harrison, M. Cercignani   +7 more
semanticscholar   +1 more source

Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review

Journal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 328-345, February 2026.
ABSTRACT Background Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurately diagnosing mTBI remains a significant challenge. While advanced neuroimaging techniques like diffusion tensor imaging (DTI) offer promise for more robust diagnosis, their clinical application ...
Christian John A. Saludar, Maryam Tayebi, Eryn Kwon, Joshua McGeown, William Schierding, Alan Wang, Justin Fernandez, Samantha Holdsworth, Vickie Shim   +8 more
wiley   +1 more source

Influence of ROI selection on resting state functional connectivity: an individualized approach for resting state fMRI analysis [PDF]

, 2015
William S. Sohn, Kwangsun Yoo, Young‐Beom Lee, Sang Won Seo, Duk L. Na, Yong Jeong   +5 more
openalex   +1 more source

Pharmacological MRI: Utility in Understanding Drug Mechanisms in Psychiatric Disorders

Journal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 346-363, February 2026.
ABSTRACT Pharmacological MRI (pharmaMRI) has emerged as a powerful tool to study how psychoactive drugs affect brain function and to uncover mechanisms of drug action in psychiatric disorders. This review provides an overview of key techniques used in pharmaMRI, including BOLD‐fMRI, arterial spin labeling (ASL), and cerebral blood volume (CBV) mapping,
Christin Y. Sander, Tudor M. Ionescu, Mitul A. Mehta, Ottavia Dipasquale, Anouk Schrantee   +4 more
wiley   +1 more source

Hemodynamic response function (HRF) variability confounds resting‐state fMRI functional connectivity

Magnetic Resonance in Medicine, 2018
fMRI is the convolution of the hemodynamic response function (HRF) and unmeasured neural activity. HRF variability (HRFv) across the brain could, in principle, alter functional connectivity (FC) estimates from resting‐state fMRI (rs‐fMRI).
D. Rangaprakash, Guo-Rong Wu, Daniele Marinazzo, Xiaoping Hu, G. Deshpande   +4 more
semanticscholar   +1 more source

Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Brain age is an emerging concept that reflects complex, time‐dependent changes in brain structure, identifying departures from expected neurodevelopmental patterns. In the developing brain, accurate MRI‐based age estimation is a quantitative biomarker for detecting atypical neurodevelopment, facilitating early diagnosis, guiding clinical ...
Hosna Asma ull, Misha P. T. Kaandorp, Andras Jakab, Hyun Gi Kim   +3 more
wiley   +1 more source

Resting-state fMRI functional connectivity and mindfulness in clinical and non-clinical contexts: A review and synthesis

Neuroscience and Biobehavioral Reviews, 2022
Idil Sezer, D. Pizzagalli, Matthew D. Sacchet   +2 more
semanticscholar   +1 more source