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https://www.readbyqxmd.com/read/27917569/distinct-intrinsic-functional-brain-network-abnormalities-in-methamphetamine-dependent-patients-with-and-without-a-history-of-psychosis
#1
Jonathan C Ipser, Anne Uhlmann, Paul Taylor, Brian H Harvey, Don Wilson, Dan J Stein
Chronic methamphetamine use is associated with executive functioning deficits that suggest dysfunctional cognitive control networks (CCNs) in the brain. Likewise, abnormal connectivity between intrinsic CCNs and default mode networks (DMNs) has also been associated with poor cognitive function in clinical populations. Accordingly, we tested the extent to which methamphetamine use predicts abnormal connectivity between these networks, and whether, as predicted, these abnormalities are compounded in patients with a history of methamphetamine-associated psychosis (MAP)...
December 5, 2016: Addiction Biology
https://www.readbyqxmd.com/read/27900950/automated-selection-of-brain-regions-for-real-time-fmri-brain-computer-interfaces
#2
Michael Lührs, Bettina Sorger, Rainer Goebel, Fabrizio Esposito
OBJECTIVE: Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site expert supervision are required for ROI definition. To automate this step, we developed two unsupervised computational techniques based on the general linear model (GLM) and independent component analysis (ICA) of rt-fMRI data, and compared their performances on a communication BCI...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27881961/functional-connectivity-of-child-and-adolescent-attention-deficit-hyperactivity-disorder-patients-correlation-with-iq
#3
Bo-Yong Park, Jisu Hong, Seung-Hak Lee, Hyunjin Park
Attention deficit hyperactivity disorder (ADHD) is a pervasive neuropsychological disorder that affects both children and adolescents. Child and adolescent ADHD patients exhibit different behavioral symptoms such as hyperactivity and impulsivity, but not much connectivity research exists to help explain these differences. We analyzed openly accessible resting-state functional magnetic resonance imaging (rs-fMRI) data on 112 patients (28 child ADHD, 28 adolescent ADHD, 28 child normal control (NC), and 28 adolescent NC)...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27879036/fmri-single-trial-discovery-of-spatio-temporal-brain-activity-patterns
#4
Michele Allegra, Shima Seyed-Allaei, Fabrizio Pizzagalli, Fahimeh Baftizadeh, Marta Maieron, Carlo Reverberi, Alessandro Laio, Daniele Amati
There is growing interest in the description of short-lived patterns in the spatiotemporal cortical activity monitored via neuroimaging. Most traditional analysis methods, designed to estimate relatively long-term brain dynamics, are not always appropriate to capture these patterns. Here we introduce a novel data-driven approach for detecting short-lived fMRI brain activity patterns. Exploiting Density Peak Clustering (Rodriguez and Laio [2014]), our approach reveals well localized clusters by identifying and grouping together voxels whose time-series are similar, irrespective of their brain location, even when very short time windows (∼10 volumes) are used...
November 23, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27864080/alterations-of-resting-state-functional-network-connectivity-in-the-brain-of-nicotine-and-alcohol-users
#5
Victor M Vergara, Jingyu Liu, Eric D Claus, Kent Hutchison, Vince Calhoun
Alcohol and nicotine intake result in neurological alterations at the circuit level. Resting state functional connectivity has shown great potential in identifying these alterations. However, current studies focus on specific seeds and leave out many brain regions where effects might exist. The present study uses a data driven technique for brain segmentation covering the whole brain. Functional magnetic-resonance-imaging (fMRI) data were collected from 188 subjects:51 non-substance consumption controls (CTR), 36 smoking-and-drinking subjects (SAD), 28 drinkers (DRN), and 73 smokers (SMK)...
November 15, 2016: NeuroImage
https://www.readbyqxmd.com/read/27859982/transcranial-direct-current-stimulation-effects-on-neural-processing-in-post-stroke-aphasia
#6
Robert Darkow, Andrew Martin, Anna Würtz, Agnes Flöel, Marcus Meinzer
Non-invasive transcranial direct current stimulation (tDCS) can enhance recovery after stroke. However, fundamental knowledge about how tDCS impacts neural processing in the lesioned human brain is currently lacking. In the present study, it was investigated how tDCS modulates brain function in patients with post-stroke language impairment (aphasia). In a cross-over, randomized trial, patients named pictures of common objects during functional magnetic resonance imaging (fMRI). Concurrently, excitatory (anodal-) or sham-tDCS (1 mA, 20 min, or 30 s, respectively) was administered to the left primary motor cortex, a montage with demonstrated potential to improve aphasic language...
November 11, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27843692/age-related-differences-in-brain-network-activation-and-co-activation-during-multiple-object-tracking
#7
Erlend S Dørum, Dag Alnæs, Tobias Kaufmann, Geneviève Richard, Martina J Lund, Siren Tønnesen, Markus H Sneve, Nina C Mathiesen, Øyvind G Rustan, Øivind Gjertsen, Sigurd Vatn, Brynjar Fure, Ole A Andreassen, Jan Egil Nordvik, Lars T Westlye
INTRODUCTION: Multiple object tracking (MOT) is a powerful paradigm for measuring sustained attention. Although previous fMRI studies have delineated the brain activation patterns associated with tracking and documented reduced tracking performance in aging, age-related effects on brain activation during MOT have not been characterized. In particular, it is unclear if the task-related activation of different brain networks is correlated, and also if this coordination between activations within brain networks shows differential effects of age...
November 2016: Brain and Behavior
https://www.readbyqxmd.com/read/27826107/increased-functional-connectivity-one-week-after-motor-learning-and-tdcs-in-stroke-patients
#8
Stéphanie Lefebvre, Laurence Dricot, Patrice Laloux, Philippe Desfontaines, Frédéric Evrard, André Peeters, Jacques Jamart, Yves Vandermeeren
Recent studies using resting-state functional magnetic resonance imaging (rs-fMRI) demonstrated that changes in functional connectivity (FC) after stroke correlate with recovery. The aim of this study was to explore whether combining motor learning to dual transcranial direct current stimulation (dual-tDCS, applied over both primary motor cortices (M1)) modulated FC in stroke patients. Twenty-two chronic hemiparetic stroke patients participated in a baseline rs-fMRI session. One week later, dual-tDCS/sham was applied during motor skill learning (intervention session); one week later, the retention session started with the acquisition of a run of rs-fMRI imaging...
November 5, 2016: Neuroscience
https://www.readbyqxmd.com/read/27815646/ipsilateral-alteration-of-resting-state-activity-suggests-that-cortical-dysfunction-contributes-to-the-pathogenesis-of-cluster-headache
#9
Péter Faragó, Nikoletta Szabó, Eszter Tóth, Bernadett Tuka, András Király, Gergő Csete, Árpád Párdutz, Délia Szok, János Tajti, Csaba Ertsey, László Vécsei, Zsigmond Tamás Kincses
The pathomechanism of cluster headache (CH) is not entirely understood, but central and peripheral components were suggested. A recent report showed that transcranial magnetic stimulation measured cortical excitability was increased in the hemisphere ipsilalteral to the pain. In the current study we set out to investigate the amplitude of resting brain fMRI activity to find signatures of the increased excitability. High resolution T1 weighted and resting state functional MRI images were acquired from seventeen patients with CH in pain free period and from twenty-six healthy volunteers...
November 4, 2016: Brain Topography
https://www.readbyqxmd.com/read/27803653/probing-intrinsic-resting-state-networks-in-the-infant-rat-brain
#10
Dusica Bajic, Michael M Craig, David Borsook, Lino Becerra
Resting-state functional magnetic resonance imaging (rs-fMRI) measures spontaneous fluctuations in blood oxygenation level-dependent (BOLD) signal in the absence of external stimuli. It has become a powerful tool for mapping large-scale brain networks in humans and animal models. Several rs-fMRI studies have been conducted in anesthetized and awake adult rats, reporting consistent patterns of brain activity at the systems level. However, the evolution to adult patterns of resting-state activity has not yet been evaluated and quantified in the developing rat brain...
2016: Frontiers in Behavioral Neuroscience
https://www.readbyqxmd.com/read/27788143/brain-connectivity-changes-in-autosomal-recessive-parkinson-disease-a-model-for-the-sporadic-form
#11
Elena Makovac, Mara Cercignani, Laura Serra, Mario Torso, Barbara Spanò, Simona Petrucci, Lucia Ricciardi, Monia Ginevrino, Carlo Caltagirone, Anna Rita Bentivoglio, Enza Maria Valente, Marco Bozzali
Biallelic genetic mutations in the Park2 and PINK1 genes are frequent causes of autosomal recessive PD. Carriers of single heterozygous mutations may manifest subtle signs of disease, thus providing a unique model of preclinical PD. One emerging hypothesis suggests that non-motor symptom of PD, such as cognitive impairment may be due to a distributed functional disruption of various neuronal circuits. Using resting-state functional MRI (RS-fMRI), we tested the hypothesis that abnormal connectivity within and between brain networks may account for the patients' cognitive status...
2016: PloS One
https://www.readbyqxmd.com/read/27785847/default-mode-network-deactivation-during-odor-visual-association
#12
Prasanna R Karunanayaka, Donald A Wilson, Michael J Tobia, Brittany E Martinez, Mark D Meadowcroft, Paul J Eslinger, Qing X Yang
Default mode network (DMN) deactivation has been shown to be functionally relevant for goal-directed cognition. In this study, the DMN's role during olfactory processing was investigated using two complementary functional magnetic resonance imaging (fMRI) paradigms with identical timing, visual-cue stimulation, and response monitoring protocols. Twenty-nine healthy, non-smoking, right-handed adults (mean age = 26 ± 4 years, 16 females) completed an odor-visual association fMRI paradigm that had two alternating odor + visual and visual-only trial conditions...
October 27, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27779911/neural-systems-underlying-individual-differences-in-intertemporal-decision-making
#13
Amanda Elton, Christopher T Smith, Michael H Parrish, Charlotte A Boettiger
Excessively choosing immediate over larger future rewards, or delay discounting (DD), associates with multiple clinical conditions. Individual differences in DD likely depend on variations in the activation of and functional interactions between networks, representing possible endophenotypes for associated disorders, including alcohol use disorders. Numerous fMRI studies have probed the neural bases of DD, but investigations of large-scale networks remain scant. We addressed this gap by testing whether activation within large-scale networks during Now/Later decision-making predicts individual differences in DD...
October 25, 2016: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/27776135/top-down-network-effective-connectivity-in-abstinent-substance-dependent-individuals
#14
Michael F Regner, Naomi Saenz, Keeran Maharajh, Dorothy J Yamamoto, Brianne Mohl, Korey Wylie, Jason Tregellas, Jody Tanabe
OBJECTIVE: We hypothesized that compared to healthy controls, long-term abstinent substance dependent individuals (SDI) will differ in their effective connectivity between large-scale brain networks and demonstrate increased directional information from executive control to interoception-, reward-, and habit-related networks. In addition, using graph theory to compare network efficiencies we predicted decreased small-worldness in SDI compared to controls. METHODS: 50 SDI and 50 controls of similar sex and age completed psychological surveys and resting state fMRI...
2016: PloS One
https://www.readbyqxmd.com/read/27770478/deriving-frequency-dependent-spatial-patterns-in-meg-derived-resting-state-sensorimotor-network-a-novel-multiband-ica-technique
#15
Allison C Nugent, Bruce Luber, Frederick W Carver, Stephen E Robinson, Richard Coppola, Carlos A Zarate
Recently, independent components analysis (ICA) of resting state magnetoencephalography (MEG) recordings has revealed resting state networks (RSNs) that exhibit fluctuations of band-limited power envelopes. Most of the work in this area has concentrated on networks derived from the power envelope of beta bandpass-filtered data. Although research has demonstrated that most networks show maximal correlation in the beta band, little is known about how spatial patterns of correlations may differ across frequencies...
October 22, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27761491/-eyes-open-eyes-closed-eeg-fmri-data-set-including-dedicated-carbon-wire-loop-motion-detection-channels
#16
Johan van der Meer, André Pampel, Eus van Someren, Jennifer Ramautar, Ysbrand van der Werf, German Gomez-Herrero, Jöran Lepsien, Lydia Hellrung, Hermann Hinrichs, Harald Möller, Martin Walter
This data set contains electroencephalography (EEG) data as well as simultaneous EEG with functional magnetic resonance imaging (EEG/fMRI) data. During EEG/fMRI, the EEG cap was outfitted with a hardware-based add-on consisting of carbon-wire loops (CWL). These yielded six extra׳CWL׳ signals related to Faraday induction of these loops in the main magnetic field "Measurement and reduction of motion and ballistocardiogram artefacts from simultaneous EEG and fMRI recordings" (Masterton et al., 2007) [1]. In this data set, the CWL data make it possible to do a direct regression approach to deal with the BCG and specifically He artifact...
June 2016: Data in Brief
https://www.readbyqxmd.com/read/27760995/differential-effects-of-l-tryptophan-and-l-leucine-administration-on-brain-resting-state-functional-networks-and-plasma-hormone-levels
#17
Davide Zanchi, Anne Christin Meyer-Gerspach, Claudia Suenderhauf, Katharina Janach, Carel W le Roux, Sven Haller, Jürgen Drewe, Christoph Beglinger, Bettina K Wölnerhanssen, Stefan Borgwardt
Depending on their protein content, single meals can rapidly influence the uptake of amino acids into the brain and thereby modify brain functions. The current study investigates the effects of two different amino acids on the human gut-brain system, using a multimodal approach, integrating physiological and neuroimaging data. In a randomized, placebo-controlled trial, L-tryptophan, L-leucine, glucose and water were administered directly into the gut of 20 healthy subjects. Functional MRI (fMRI) in a resting state paradigm (RS), combined with the assessment of insulin and glucose blood concentration, was performed before and after treatment...
October 20, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27739635/quantifying-functional-connectivity-in-multi-subject-fmri-data-using-component-models
#18
Kristoffer H Madsen, Nathan W Churchill, Morten Mørup
Functional magnetic resonance imaging (fMRI) is increasingly used to characterize functional connectivity between brain regions. Given the vast number of between-voxel interactions in high-dimensional fMRI data, it is an ongoing challenge to detect stable and generalizable functional connectivity in the brain among groups of subjects. Component models can be used to define subspace representations of functional connectivity that are more interpretable. It is, however, unclear which component model provides the optimal representation of functional networks for multi-subject fMRI datasets...
October 14, 2016: Human Brain Mapping
https://www.readbyqxmd.com/read/27733821/building-an-eeg-fmri-multi-modal-brain-graph-a-concurrent-eeg-fmri-study
#19
Qingbao Yu, Lei Wu, David A Bridwell, Erik B Erhardt, Yuhui Du, Hao He, Jiayu Chen, Peng Liu, Jing Sui, Godfrey Pearlson, Vince D Calhoun
The topological architecture of brain connectivity has been well-characterized by graph theory based analysis. However, previous studies have primarily built brain graphs based on a single modality of brain imaging data. Here we develop a framework to construct multi-modal brain graphs using concurrent EEG-fMRI data which are simultaneously collected during eyes open (EO) and eyes closed (EC) resting states. FMRI data are decomposed into independent components with associated time courses by group independent component analysis (ICA)...
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27729846/classification-and-extraction-of-resting-state-networks-using-healthy-and-epilepsy-fmri-data
#20
Svyatoslav Vergun, Wolfgang Gaggl, Veena A Nair, Joshua I Suhonen, Rasmus M Birn, Azam S Ahmed, M Elizabeth Meyerand, James Reuss, Edgar A DeYoe, Vivek Prabhakaran
Functional magnetic resonance imaging studies have significantly expanded the field's understanding of functional brain activity of healthy and patient populations. Resting state (rs-) fMRI, which does not require subjects to perform a task, eliminating confounds of task difficulty, allows examination of neural activity and offers valuable functional mapping information. The purpose of this work was to develop an automatic resting state network (RSN) labeling method which offers value in clinical workflow during rs-fMRI mapping by organizing and quickly labeling spatial maps into functional networks...
2016: Frontiers in Neuroscience
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