keyword
MENU ▼
Read by QxMD icon Read
search

independent component analysis fMRI

keyword
https://www.readbyqxmd.com/read/29787866/handedness-dependent-functional-organizational-patterns-within-the-bilateral-vestibular-cortical-network-revealed-by-fmri-connectivity-based-parcellation
#1
V Kirsch, R Boegle, D Keeser, E Kierig, B Ertl-Wagner, T Brandt, M Dieterich
Current evidence points towards a vestibular cortex that involves a multisensory bilateral temporo-parietal-insular network with a handedness-dependent hemispheric lateralization. This study aimed to identify handedness-dependent organizational patterns of (lateralized and non-lateralized) functional subunits within the human vestibular cortex areas. 60 healthy volunteers (30 left-handed and 30 right-handed) were examined on a 3T MR scanner using resting state functional MRI (fMRI). The data was analyzed in four major steps using a functional connectivity based parcellation (fCBP) approach: (1) independent component analysis (ICA) on a whole brain level to identify different resting state networks (RSN); (2) creation of a vestibular informed mask from four whole brain ICs that included reference coordinates of the vestibular network extracted from meta-analyses of vestibular neuroimaging experiments; (3) Re-ICA confined to the vestibular informed mask; (4) cross-correlation of the activated voxels within the vestibular subunits (parcels) to each other (P-to-P) and to the whole-brain RSN (P-to-RSN)...
May 19, 2018: NeuroImage
https://www.readbyqxmd.com/read/29783079/altered-neural-encoding-of-prediction-errors-in-assault-related-posttraumatic-stress-disorder
#2
Marisa C Ross, Jennifer K Lenow, Clinton D Kilts, Josh M Cisler
Posttraumatic stress disorder (PTSD) is widely associated with deficits in extinguishing learned fear responses, which relies on mechanisms of reinforcement learning (e.g., updating expectations based on prediction errors). However, the degree to which PTSD is associated with impairments in general reinforcement learning (i.e., outside of the context of fear stimuli) remains poorly understood. Here, we investigate brain and behavioral differences in general reinforcement learning between adult women with and without a current diagnosis of PTSD...
May 12, 2018: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/29774625/effect-of-phase-encoding-direction-on-group-analysis-of-resting-state-functional-magnetic-resonance-imaging
#3
Yasuo Mori, Jun Miyata, Masanori Isobe, Shuraku Son, Yujiro Yoshihara, Toshihiko Aso, Takanori Kouchiyama, Toshiya Murai, Hidehiko Takahashi
AIM: Echo-planar imaging is a common technique used in functional magnetic resonance imaging (fMRI), however it suffers from image distortion and signal loss because of large susceptibility effects that are related to the phase-encoding direction of the scan. Despite this relationship, the majority of neuroimaging studies have not considered the influence of phase-encoding direction. Here, we aimed to clarify how phase-encoding direction can affect the outcome of an fMRI connectivity study of schizophrenia...
May 17, 2018: Psychiatry and Clinical Neurosciences
https://www.readbyqxmd.com/read/29771186/cross-modal-plasticity-among-sensory-networks-in-neuromyelitis-optica-spectrum-disorders
#4
Maria Assunta Rocca, Filippo Savoldi, Paola Valsasina, Marta Radaelli, Paolo Preziosa, Giancarlo Comi, Andrea Falini, Massimo Filippi
OBJECTIVE: To explore resting-state (RS) functional connectivity (FC) of the main sensory/motor networks of patients with neuromyelitis optica spectrum disorders (NMOSDs), clinically isolated optic neuritis (ON), and myelitis. METHODS: Clinical evaluation and RS fMRI were obtained from 28 NMOSD, 11 recurrent ON, and 12 recurrent myelitis patients and 30 healthy controls. Between-group RS FC comparisons and correlations with motor performance were assessed (SPM12) on the main sensory/motor RS networks (RSNs) identified by independent component analysis...
May 1, 2018: Multiple Sclerosis: Clinical and Laboratory Research
https://www.readbyqxmd.com/read/29753843/using-temporal-ica-to-selectively-remove-global-noise-while-preserving-global-signal-in-functional-mri-data
#5
Matthew F Glasser, Timothy S Coalson, Janine D Bijsterbosch, Samuel J Harrison, Michael P Harms, Alan Anticevic, David C Van Essen, Stephen M Smith
Temporal fluctuations in functional Magnetic Resonance Imaging (fMRI) have been profitably used to study brain activity and connectivity for over two decades. Unfortunately, fMRI data also contain structured temporal "noise" from a variety of sources, including subject motion, subject physiology, and the MRI equipment. Recently, methods have been developed to automatically and selectively remove spatially specific structured noise from fMRI data using spatial Independent Components Analysis (ICA) and machine learning classifiers...
May 10, 2018: NeuroImage
https://www.readbyqxmd.com/read/29730492/trade-off-of-cerebello-cortical-and-cortico-cortical-functional-networks-for-planning-in-6-year-old-children
#6
Judy A Kipping, Daniel S Margulies, Simon Eickhoff, Annie Lee, Anqi Qiu
Childhood is a critical period for the development of cognitive planning. There is a lack of knowledge on its neural mechanisms in children. This study aimed to examine cerebello-cortical and cortico-cortical functional connectivity in association with planning skills in 6-year-olds (n = 76). We identified the cerebello-cortical and cortico-cortical functional networks related to cognitive planning using activation likelihood estimation (ALE) meta-analysis on existing functional imaging studies on spatial planning, and data-driven independent component analysis (ICA) of children's resting-state functional MRI (rs-fMRI)...
May 3, 2018: NeuroImage
https://www.readbyqxmd.com/read/29726890/olfactory-fmri-implications-of-stimulation-length-and-repetition-time
#7
Charalampos Georgiopoulos, Suzanne T Witt, Sven Haller, Nil Dizdar, Helene Zachrisson, Maria Engström, Elna-Marie Larsson
Studying olfaction with functional Magnetic Resonance imaging (fMRI) poses various methodological challenges. This study aimed to investigate the effects of stimulation length and repetition time (TR) on the activation pattern of four olfactory brain regions: the anterior and the posterior piriform cortex, the orbitofrontal cortex and the insula. 22 healthy participants with normal olfaction were examined with fMRI, with two stimulation lengths (6 seconds and 15 seconds) and two TRs (0.901 seconds and 1.34 seconds)...
May 3, 2018: Chemical Senses
https://www.readbyqxmd.com/read/29712947/resting-state-fmri-study-of-brain-activation-using-low-intensity-repetitive-transcranial-magnetic-stimulation-in-rats
#8
Bhedita J Seewoo, Kirk W Feindel, Sarah J Etherington, Jennifer Rodger
Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive neuromodulation technique used to treat many neuropsychiatric conditions. However, the mechanisms underlying its mode of action are still unclear. This is the first rodent study using resting-state functional MRI (rs-fMRI) to examine low-intensity (LI) rTMS effects, in an effort to provide a direct means of comparison between rodent and human studies. Using anaesthetised Sprague-Dawley rats, rs-fMRI data were acquired before and after control or LI-rTMS at 1 Hz, 10 Hz, continuous theta burst stimulation (cTBS) or biomimetic high-frequency stimulation (BHFS)...
April 30, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29709628/simultaneous-resting-state-fdg-pet-fmri-in-alzheimer-disease-relationship-between-glucose-metabolism-and-intrinsic-activity
#9
Rocco Marchitelli, Marco Aiello, Arnaud Cachia, Mario Quarantelli, Carlo Cavaliere, Alfredo Postiglione, Gioacchino Tedeschi, Patrizia Montella, Graziella Milan, Marco Salvatore, Elena Salvatore, Jean Claude Baron, Sabina Pappatà
Simultaneously evaluating resting-state brain glucose metabolism and intrinsic functional activity has potential to impact the clinical neurosciences of Alzheimer Disease (AD). Indeed, integrating such combined information obtained in the same physiological setting may clarify how impairments in neuroenergetic and neuronal function interact and contribute to the mechanisms underlying AD. The present study used this multimodality approach to investigate, by means of a hybrid PET/MR scanner, the coupling between glucose consumption and intrinsic functional activity in 23 patients with AD-related cognitive impairment ranging from amnestic mild cognitive impairment (MCI) to mild-moderate AD (aMCI/AD), in comparison with a group of 23 healthy elderly controls...
April 27, 2018: NeuroImage
https://www.readbyqxmd.com/read/29705574/automatic-recognition-of-holistic-functional-brain-networks-using-iteratively-optimized-convolutional-neural-networks-io-cnn-with-weak-label-initialization
#10
Yu Zhao, Fangfei Ge, Tianming Liu
fMRI data decomposition techniques have advanced significantly from shallow models such as Independent Component Analysis (ICA) and Sparse Coding and Dictionary Learning (SCDL) to deep learning models such Deep Belief Networks (DBN) and Convolutional Autoencoder (DCAE). However, interpretations of those decomposed networks are still open questions due to the lack of functional brain atlases, no correspondence across decomposed or reconstructed networks across different subjects, and significant individual variabilities...
April 26, 2018: Medical Image Analysis
https://www.readbyqxmd.com/read/29691946/the-goal-priority-network-as-a-neural-substrate-of-conscientiousness
#11
Amanda R Rueter, Samantha V Abram, Angus W MacDonald, Aldo Rustichini, Colin G DeYoung
Conscientiousness is a personality trait associated with many important life outcomes, but little is known about the mechanisms that underlie it. We investigated its neural correlates using functional connectivity analysis in fMRI, which identifies brain regions that act in synchrony. We tested the hypothesis that a broad network resembling a combination of the salience and ventral attention networks, which we provisionally label the goal priority network (GPN), is a neural correlate of Conscientiousness. Self- and peer-ratings of Conscientiousness were collected in a community sample of adults who underwent a resting-state fMRI scan (N = 218)...
April 24, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29673968/model-order-effects-on-ica-of-resting-state-complex-valued-fmri-data-application-to-schizophrenia
#12
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Jing Sui, Vince D Calhoun
BACKGROUND: Component splitting at higher model orders is a widely accepted finding for independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data. However, our recent study found that intact components occurred with subcomponents at higher model orders. NEW METHOD: This study investigated model order effects on ICA of resting-state complex-valued fMRI data from 82 subjects, which included 40 healthy controls (HCs) and 42 schizophrenia patients...
April 16, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29662444/distinctive-correspondence-between-separable-visual-attention-functions-and-intrinsic-brain-networks
#13
Adriana L Ruiz-Rizzo, Julia Neitzel, Hermann J Müller, Christian Sorg, Kathrin Finke
Separable visual attention functions are assumed to rely on distinct but interacting neural mechanisms. Bundesen's "theory of visual attention" (TVA) allows the mathematical estimation of independent parameters that characterize individuals' visual attentional capacity (i.e., visual processing speed and visual short-term memory storage capacity) and selectivity functions (i.e., top-down control and spatial laterality). However, it is unclear whether these parameters distinctively map onto different brain networks obtained from intrinsic functional connectivity, which organizes slowly fluctuating ongoing brain activity...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29659087/robust-spinal-cord-resting-state-fmri-using-independent-component-analysis-based-nuisance-regression-noise-reduction
#14
Yong Hu, Richu Jin, Guangsheng Li, Keith Dk Luk, Ed X Wu
BACKGROUND: Physiological noise reduction plays a critical role in spinal cord (SC) resting-state fMRI (rsfMRI). PURPOSE: To reduce physiological noise and increase the robustness of SC rsfMRI by using an independent component analysis (ICA)-based nuisance regression (ICANR) method. STUDY TYPE: Retrospective. SUBJECTS: Ten healthy subjects (female/male = 4/6, age = 27 ± 3 years, range 24-34 years). FIELD STRENGTH/SEQUENCE: 3T/gradient-echo echo planar imaging (EPI)...
April 16, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29650266/increased-sensorimotor-network-connectivity-associated-with-clozapine-eligibility-in-people-with-schizophrenia
#15
Carolyn Beth McNabb, Frederick Sundram, Ian Soosay, Robert R Kydd, Bruce Roy Russell
Schizophrenia is a heterogeneous disorder that exhibits variable responsiveness to treatment between individuals. Here we conducted a resting-state functional magnetic resonance imaging (rs-fMRI) study to determine whether resistance to first-line antipsychotics is reflected in resting-state connectivity. rs-fMRI data were collected from 15 people who had failed to respond to first-line antipsychotics (clozapine-eligible) and 10 first-line treatment responders (FLR). Image pre-processing and analysis were performed using FMRIB's software library (FSL)...
March 6, 2018: Psychiatry research. Neuroimaging
https://www.readbyqxmd.com/read/29626649/random-forest-based-classification-of-alcohol-dependence-patients-and-healthy-controls-using-resting-state-mri
#16
Xi Zhu, Xiaofei Du, Mike Kerich, Falk W Lohoff, Reza Momenan
Currently, classification of alcohol use disorder (AUD) is made on clinical grounds; however, robust evidence shows that chronic alcohol use leads to neurochemical and neurocircuitry adaptations. Identifications of the neuronal networks that are affected by alcohol would provide a more systematic way of diagnosis and provide novel insights into the pathophysiology of AUD. In this study, we identified network-level brain features of AUD, and further quantified resting-state within-network, and between-network connectivity features in a multivariate fashion that are classifying AUD, thus providing additional information about how each network contributes to alcoholism...
April 4, 2018: Neuroscience Letters
https://www.readbyqxmd.com/read/29616472/risk-seeking-for-losses-modulates-the-functional-connectivity-of-the-default-mode-and-left-frontoparietal-networks-in-young-males
#17
Yacila I Deza Araujo, Stephan Nebe, Philipp T Neukam, Shakoor Pooseh, Miriam Sebold, Maria Garbusow, Andreas Heinz, Michael N Smolka
Value-based decision making (VBDM) is a principle that states that humans and other species adapt their behavior according to the dynamic subjective values of the chosen or unchosen options. The neural bases of this process have been extensively investigated using task-based fMRI and lesion studies. However, the growing field of resting-state functional connectivity (RSFC) may shed light on the organization and function of brain connections across different decision-making domains. With this aim, we used independent component analysis to study the brain network dynamics in a large cohort of young males (N = 145) and the relationship of these dynamics with VBDM...
April 3, 2018: Cognitive, Affective & Behavioral Neuroscience
https://www.readbyqxmd.com/read/29614296/automatic-cardiac-cycle-determination-directly-from-eeg-fmri-data-by-multi-scale-peak-detection-method
#18
Chung-Ki Wong, Qingfei Luo, Vadim Zotev, Raquel Phillips, Kam Wai Clifford Chan, Jerzy Bodurka
BACKGROUND: In simultaneous EEG-fMRI, identification of the period of cardioballistic artifact (BCG) in EEG is required for the artifact removal. Recording the electrocardiogram (ECG) waveform during fMRI is difficult, often causing inaccurate period detection. NEW METHOD: Since the waveform of the BCG extracted by independent component analysis (ICA) is relatively invariable compared to the ECG waveform, we propose a multiple-scale peak-detection algorithm to determine the BCG cycle directly from the EEG data...
March 31, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29611075/presurgical-localization-and-spatial-shift-of-resting-state-networks-in-patients-with-brain-metastases
#19
Ju-Rong Ding, Fangmei Zhu, Bo Hua, Xingzhong Xiong, Yuqiao Wen, Zhongxiang Ding, Paul M Thompson
Brain metastases are the most prevalent cerebral tumors. Resting state networks (RSNs) are involved in multiple perceptual and cognitive functions. Therefore, precisely localizing multiple RSNs may be extremely valuable before surgical resection of metastases, to minimize neurocognitive impairments. Here we aimed to investigate the reliability of independent component analysis (ICA) for localizing multiple RSNs from resting-state functional MRI (rs-fMRI) data in individual patients, and further evaluate lesion-related spatial shifts of the RSNs...
April 2, 2018: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/29604366/differential-recruitment-of-theory-of-mind-brain-network-across-three-tasks-an-independent-component-analysis
#20
Melissa D Thye, Carla J Ammons, Donna L Murdaugh, Rajesh K Kana
Social neuroscience research has focused on an identified network of brain regions primarily associated with processing Theory of Mind (ToM). However, ToM is a broad cognitive process, which encompasses several sub-processes, such as mental state detection and intentional attribution, and the connectivity of brain regions underlying the broader ToM network in response to paradigms assessing these sub-processes requires further characterization. Standard fMRI analyses which focus only on brain activity cannot capture information about ToM processing at a network level...
March 28, 2018: Behavioural Brain Research
keyword
keyword
10520
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"