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https://www.readbyqxmd.com/read/28817793/precision-neuroscience-dense-sampling-of-individual-brains
#1
Russell A Poldrack
In this issue, Gordon et al. (2017) use dense sampling of resting and task fMRI within individuals to demonstrate that patterns of correlation in resting fMRI are closely aligned with functional architecture as identified using task fMRI.
August 16, 2017: Neuron
https://www.readbyqxmd.com/read/28817417/brain-processing-of-the-temporal-dimension-of-acute-pain-in-short-term-memory
#2
Mina Khoshnejad, Mathieu Roy, Kristina Martinu, Jen-I Chen, Julien Cohen-Adad, Simon Grondin, Pierre Rainville
The dynamics of noxious sensation shapes pain perception, yet the memory of the temporal dimension of pain remains almost completely unexplored. Here, brain activity during the memory of pain duration was contrasted with that associated with the memory of pain intensity using functional magnetic resonance imaging (fMRI) and a delayed-reproduction task. Participants encoded, maintained during a short delay, and reproduced (1) the 'duration' of pain (i.e. onset-to-offset), (2) the 'dynamics' of pain (i.e. evolution of pain over time), or (3) the intensity of pain (i...
July 3, 2017: Pain
https://www.readbyqxmd.com/read/28817216/functional-neuroimaging-after-severe-anoxic-brain-injury-in-children-may-reveal-preserved-yet-covert-cognitive-function
#3
Adrian M Owen
A growing body of evidence has confirmed that, after severe brain injury in adults, motoric and task-dependent factors that are essential for reliable communication, frequently interfere with an accurate assessment of cognitive status. In the current study, resting state functional magnetic resonance imaging (fMRI) in children who have sustained an anoxic brain injury following a near drowning incident suggests a similar pattern; preserved cognition amidst severe motoric impairment that effectively precludes accurate clinical diagnosis at the bedside...
August 17, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28815863/decoding-fmri-events-in-sensorimotor-motor-network-using-sparse-paradigm-free-mapping-and-activation-likelihood-estimates
#4
Francisca M Tan, César Caballero-Gaudes, Karen J Mullinger, Siu-Yeung Cho, Yaping Zhang, Ian L Dryden, Susan T Francis, Penny A Gowland
Most functional MRI (fMRI) studies map task-driven brain activity using a block or event-related paradigm. Sparse paradigm free mapping (SPFM) can detect the onset and spatial distribution of BOLD events in the brain without prior timing information, but relating the detected events to brain function remains a challenge. In this study, we developed a decoding method for SPFM using a coordinate-based meta-analysis method of activation likelihood estimation (ALE). We defined meta-maps of statistically significant ALE values that correspond to types of events and calculated a summation overlap between the normalized meta-maps and SPFM maps...
August 16, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28814282/alterations-in-resting-state-functional-connectivity-of-the-default-mode-network-in-amnestic-mild-cognitive-impairment-an-fmri-study
#5
Moyi Li, Guohua Zheng, Yuhui Zheng, Zhenyu Xiong, Rui Xia, Wenji Zhou, Qin Wang, Shengxiang Liang, Jing Tao, Lidian Chen
BACKGROUND: Amnestic mild cognitive impairment (aMCI) is characterized by cognitive functional decline, especially in memory. Resting-state functional magnetic resonance imaging (fMRI) has been widely used in neuroimaging studies that explore alterations between patients and normal individuals to elucidate the pathological mechanisms of different diseases. The current study was performed to investigate alterations in the functional connectivity of the default mode network (DMN) in aMCI patients compared to healthy elderly controls, as well as further define the association between neurological alterations and memory function...
August 16, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28813981/a-magnetic-compatible-supernumerary-robotic-finger-for-functional-magnetic-resonance-imaging-fmri-acquisitions-device-description-and-preliminary-results
#6
Irfan Hussain, Emiliano Santarnecchi, Andrea Leo, Emiliano Ricciardi, Simone Rossi, Domenico Prattichizzo
The Supernumerary robotic limbs are a recently introduced class of wearable robots that, differently from traditional prostheses and exoskeletons, aim at adding extra effectors (i.e., arms, legs, or fingers) to the human user, rather than substituting or enhancing the natural ones. However, it is still undefined whether the use of supernumerary robotic limbs could specifically lead to neural modifications in brain dynamics. The illusion of owning the part of body has been already proven in many experimental observations, such as those relying on multisensory integration (e...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813643/multi-connection-pattern-analysis-decoding-the-representational-content-of-neural-communication
#7
Yuanning Li, R Mark Richardson, Avniel Singh Ghuman
The lack of multivariate methods for decoding the representational content of interregional neural communication has left it difficult to know what information is represented in distributed brain circuit interactions. Here we present Multi-Connection Pattern Analysis (MCPA), which works by learning mappings between the activity patterns of the populations as a factor of the information being processed. These maps are used to predict the activity from one neural population based on the activity from the other population...
August 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28812221/multimodal-neuroimaging-in-schizophrenia-description-and-dissemination
#8
C J Aine, H J Bockholt, J R Bustillo, J M Cañive, A Caprihan, C Gasparovic, F M Hanlon, J M Houck, R E Jung, J Lauriello, J Liu, A R Mayer, N I Perrone-Bizzozero, S Posse, J M Stephen, J A Turner, V P Clark, Vince D Calhoun
In this paper we describe an open-access collection of multimodal neuroimaging data in schizophrenia for release to the community. Data were acquired from approximately 100 patients with schizophrenia and 100 age-matched controls during rest as well as several task activation paradigms targeting a hierarchy of cognitive constructs. Neuroimaging data include structural MRI, functional MRI, diffusion MRI, MR spectroscopic imaging, and magnetoencephalography. For three of the hypothesis-driven projects, task activation paradigms were acquired on subsets of ~200 volunteers which examined a range of sensory and cognitive processes (e...
August 15, 2017: Neuroinformatics
https://www.readbyqxmd.com/read/28812218/neural-correlates-of-emotional-valence-processing-in-parkinson-s-disease-dysfunction-in-the-subcortex
#9
Peter T Bell, Moran Gilat, James M Shine, Katie L McMahon, Simon J G Lewis, David A Copland
Parkinson's disease (PD) is frequently accompanied by cognitive and neuropsychiatric symptoms including impairments in affective processing. Despite this, mechanisms underlying vulnerability to deficits in affective processing remain unclear. In this study, we utilized functional Magnetic Resonance Imaging (fMRI) and an Affective Go-NoGo paradigm, to examine the neural correlates of emotional valence processing in PD. Results suggest that PD is associated with aberrant processing of emotional valence in subcortical limbic structures...
August 15, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28809833/application-of-granger-causality-analysis-of-the-directed-functional-connection-in-alzheimer-s-disease-and-mild-cognitive-impairment
#10
Mei Wang, Zhengluan Liao, Dewang Mao, Qi Zhang, Yumei Li, Enyan Yu, Zhongxiang Ding
Impaired functional connectivity in the Default Mode Network (DMN) may be involved in the progression of Alzheimer's Disease (AD). The Posterior Cingulate Cortex (PCC) is a potential imaging marker for monitoring the progression of AD. Previous studies did not focus on the functional connectivity between the PCC and nodes in regions outside the DMN, but our study is an effort to explore these overlooked functional connections. For collecting data, we used functional Magnetic Resonance Imaging (fMRI) and Granger Causality Analysis (GCA)...
August 7, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28809668/tractography-based-score-for-learning-effective-connectivity-from-multimodal-imaging-data-using-dynamic-bayesian-networks
#11
Shilpa Dang, Santanu Chaudhury, Brejesh Lall, Prasun K Roy
OBJECTIVE: Effective connectivity (EC) is the methodology for determining functional-integration among the functionally-active segregated regions of the brain. By definition [1] EC is "the causal influence exerted by one neuronal group on another" which is constrained by anatomical connectivity (AC) (axonal connections). AC is necessary for EC but does not fully determine it, because synaptic communication occurs dynamically in a context-dependent fashion. Although there is a vast emerging evidence of structure-function relationship using multimodal imaging studies, till date only a few studies have done joint modelling of the two modalities: functional MRI (fMRI) and Diffusion Tensor Imaging (DTI)...
August 10, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28808866/activations-in-gray-and-white-matter-are-modulated-by-uni-manual-responses-during-within-and-inter-hemispheric-transfer-effects-of-response-hand-and-right-handedness
#12
Vaibhav A Diwadkar, Marcella Bellani, Asadur Chowdury, Silvia Savazzi, Cinzia Perlini, Veronica Marinelli, Giada Zoccatelli, Franco Alessandrini, Elisa Ciceri, Gianluca Rambaldelli, Mirella Ruggieri, A Carlo Altamura, Carlo A Marzi, Paolo Bambilla
Because the visual cortices are contra-laterally organized, inter-hemispheric transfer tasks have been used to behaviorally probe how information briefly presented to one hemisphere of the visual cortex is integrated with responses resulting from the ipsi- or contra-lateral motor cortex. By forcing rapid information exchange across diverse regions, these tasks robustly activate not only gray matter regions, but also white matter tracts. It is likely that the response hand itself (dominant or non-dominant) modulates gray and white matter activations during within and inter-hemispheric transfer...
August 14, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28807871/mentalizing-regions-represent-distributed-continuous-and-abstract-dimensions-of-others-beliefs
#13
Jorie Koster-Hale, Hilary Richardson, Natalia Velez, Mika Asaba, Liane Young, Rebecca Saxe
The human capacity to reason about others' minds includes making causal inferences about intentions, beliefs, values, and goals. Previous fMRI research has suggested that a network of brain regions, including bilateral temporo-parietal junction (TPJ), superior temporal sulcus (STS), and medial prefrontal-cortex (MPFC), are reliably recruited for mental state reasoning. Here, in two fMRI experiments, we investigate the representational content of these regions. Building on existing computational and neural evidence, we hypothesized that social brain regions contain at least two functionally and spatially distinct components: one that represents information related to others' motivations and values, and another that represents information about others' beliefs and knowledge...
August 11, 2017: NeuroImage
https://www.readbyqxmd.com/read/28807861/comparing-brain-graphs-in-which-nodes-are-regions-of-interest-or-independent-components-a-simulation-study
#14
Qingbao Yu, Yuhui Du, Jiayu Chen, Hao He, Jing Sui, Godfrey Pearlson, Vince D Calhoun
BACKGROUND: A key challenge in building a brain graph using fMRI data is how to define the nodes. Spatial brain components estimated by independent components analysis (ICA) and regions of interest (ROIs) determined by brain atlas are two popular methods to define nodes in brain graphs. It is difficult to evaluate which method is better in real fMRI data. NEW METHOD: Here we perform a simulation study and evaluate the accuracies of a few graph metrics in graphs with nodes of ICA components, ROIs, or modified ROIs in four simulation scenarios...
August 11, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28806742/dissociating-maternal-responses-to-sad-and-happy-facial-expressions-of-their-own-child-an-fmri-study
#15
Dorothea Kluczniok, Catherine Hindi Attar, Jenny Stein, Sina Poppinga, Thomas Fydrich, Charlotte Jaite, Viola Kappel, Romuald Brunner, Sabine C Herpertz, Katja Boedeker, Felix Bermpohl
BACKGROUND: Maternal sensitive behavior depends on recognizing one's own child's affective states. The present study investigated distinct and overlapping neural responses of mothers to sad and happy facial expressions of their own child (in comparison to facial expressions of an unfamiliar child). METHODS: We used functional MRI to measure dissociable and overlapping activation patterns in 27 healthy mothers in response to happy, neutral and sad facial expressions of their own school-aged child and a gender- and age-matched unfamiliar child...
2017: PloS One
https://www.readbyqxmd.com/read/28806707/deviant-functional-activation-and-connectivity-of-the-right-insula-are-associated-with-lack-of-awareness-of-episodic-memory-impairment-in-nonamnesic-alcoholism
#16
Anne-Pascale Le Berre, Eva M Müller-Oehring, Tilman Schulte, Matthew R Serventi, Adolf Pfefferbaum, Edith V Sullivan
A disorder of metamemory, expressed as unawareness of mnemonic ability, is typically associated with the profound amnesia of Korsakoff's Syndrome (KS). A similar but less severe type of limited awareness can also occur in non-KS alcoholism and is observed as an impairment in generating Feeling-of-Knowing (FOK) predictions about future recognition performance. We previously found that FOK accuracy was selectively related to volumes of the insula in alcoholics involved in the present study. Unknown, however, are the neural substrates of unawareness of memory impairment in alcoholism...
July 25, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28804783/functional-corticostriatal-connection-topographies-predict-goal-directed-behaviour-in-humans
#17
Andre F Marquand, Koen V Haak, Christian F Beckmann
Anatomical tracing studies in non-human primates have suggested that corticostriatal connectivity is topographically organized: nearby locations in striatum are connected with nearby locations in cortex. The topographic organization of corticostriatal connectivity is thought to underpin many goal-directed behaviours, but these topographies have not been completely characterised in humans and their relationship to uniquely human behaviours remains to be fully determined. Instead, the dominant approach employs parcellations that cannot model the continuous nature of the topography, nor accommodate overlapping cortical projections in the striatum...
August 2017: Nature Human Behaviour
https://www.readbyqxmd.com/read/28804779/language-mapping-using-t2-prepared-bold-functional-mri-in-the-presence-of-large-susceptibility-artifacts-initial-results-in-patients-with-brain-tumor-and-epilepsy
#18
Jun Hua, Xinyuan Miao, Shruti Agarwal, Chetan Bettegowda, Alfredo Quiñones-Hinojosa, John Laterra, Peter C M Van Zijl, James J Pekar, Jay J Pillai
At present, presurgical functional mapping is the most prevalent clinical application of functional magnetic resonance imaging (fMRI). Signal dropouts and distortions caused by susceptibility effects in the current standard echo planar imaging (EPI)-based fMRI images are well-known problems and pose a major hurdle for the application of fMRI in several brain regions, many of which are related to language mapping in presurgical planning. Such artifacts are particularly problematic in patients with previous surgical resection cavities, craniotomy hardware, hemorrhage, and vascular malformation...
June 2017: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28803941/fast-imaging-for-mapping-dynamic-networks
#19
REVIEW
Pierre LeVan, Burak Akin, Jürgen Hennig
The development of highly accelerated fMRI acquisition techniques has led to novel possibilities to monitor cerebral activity non-invasively and with unprecedented temporal resolutions. With the emergence of dynamic connectivity and its ability to provide a much richer characterization of brain function compared to static measures, fast fMRI may yet play a crucial role in tracking dynamically varying networks. In spite of the dominance of slow hemodynamic contributions to the BOLD signal, high temporal sampling rates nevertheless improve the measurement of physiological noise, yielding an exceptional sensitivity for the detection of periods of transient connectivity at time scales of a few tens of seconds...
August 10, 2017: NeuroImage
https://www.readbyqxmd.com/read/28803854/dissociation-between-the-neural-correlates-of-recollection-and-familiarity-in-the-striatum-and-hippocampus-across-study-convergence
#20
Danielle R King, Marianne de Chastelaine, Rachael L Elward, Tracy H Wang, Michael D Rugg
In tests of recognition memory, neural activity in the striatum has consistently been reported to differ according to the study status of the test item. A full understanding of the functional significance of striatal 'retrieval success' effects is impeded by a paucity of evidence concerning whether the effects differ according to the nature of the memory signal supporting the recognition judgment (recollection vs. familiarity). Here, we address this issue through an analysis of retrieval-related striatal activity in three independent fMRI studies (total N=88)...
August 10, 2017: Behavioural Brain Research
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