Alterations in task-induced activity and resting-state fluctuations in visual and DMN areas revealed in long-term meditators

Publication date: 15 July 2016
Source:NeuroImage, Volume 135
Author(s): Aviva Berkovich-Ohana, Michal Harel, Avital Hahamy, Amos Arieli, Rafael Malach
Recently we proposed that the information contained in spontaneously emerging (resting-state) fluctuations may reflect individually unique neuro-cognitive traits. One prediction of this conjecture, termed the "spontaneous trait reactivation" (STR) hypothesis, is that resting-state activity patterns could be diagnostic of unique personalities, talents and life-styles of individuals. Long-term meditators could provide a unique experimental group to test this hypothesis. Using fMRI we found that, during resting-state, the amplitude of spontaneous fluctuations in long-term mindfulness meditation (MM) practitioners was enhanced in the visual cortex and significantly reduced in the DMN compared to naïve controls. Importantly, during a visual recognition memory task, the MM group showed heightened visual cortex responsivity, concomitant with weaker negative responses in Default Mode Network (DMN) areas. This effect was also reflected in the behavioral performance, where MM practitioners performed significantly faster than the control group. Thus, our results uncover opposite changes in the visual and default mode systems in long-term meditators which are revealed during both rest and task. The results support the STR hypothesis and extend it to the domain of local changes in the magnitude of the spontaneous fluctuations.



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Olfactory modulation of affective touch processing — A neurophysiological investigation

Publication date: 15 July 2016
Source:NeuroImage, Volume 135
Author(s): Ilona Croy, Edda Drechsler, Paul Hamilton, Thomas Hummel, Håkan Olausson
Touch can be highly emotional, and depending on the environment, it can be perceived as pleasant and comforting or disgusting and dangerous. Here, we studied the impact of context on the processing of tactile stimuli using a functional magnetic resonance imaging (fMRI) paradigm. This was achieved by embedding tactile stimulation in a variable olfactory environment.Twenty people were scanned with BOLD fMRI while receiving the following stimulus blocks: Slow stroking Touch, Civette odor (feces like), Rose odor, Touch+Civette, and Touch+Rose. Ratings of pleasantness and intensity of tactile stimuli and ratings of disgust and intensity of olfactory stimuli were collected. The impact of the olfactory context on the processing of touch was studied using covariance analyses. Coupling between olfactory processing and somatosensory processing areas was assessed with psychophysiological interaction analysis (PPI).A subjectively disgusting olfactory environment significantly reduced the perceived pleasantness of touch. The touch fMRI activation in the secondary somatosensory cortex, operculum 1 (OP1), was positively correlated with the disgust towards the odors. Decreased pleasantness of touch was related to decreased posterior insula activity. PPI analysis revealed a significant interaction between the OP1, posterior insula, and regions processing the disgust of odors (orbitofrontal cortex and amygdala).We conclude that the disgust evaluation of the olfactory environment moderates neural reactivity in somatosensory regions by upregulation of the OP1 and downregulation of the posterior insula. This adaptive regulation of affective touch processing may facilitate adaptive reaction to a potentially harmful stimulus.



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The influence of visual information on auditory processing in individuals with congenital amusia: An ERP study

Publication date: 15 July 2016
Source:NeuroImage, Volume 135
Author(s): Xuejing Lu, Hao T. Ho, Yanan Sun, Blake W. Johnson, William F. Thompson
While most normal hearing individuals can readily use prosodic information in spoken language to interpret the moods and feelings of conversational partners, people with congenital amusia report that they often rely more on facial expressions and gestures, a strategy that may compensate for deficits in auditory processing. In this investigation, we used EEG to examine the extent to which individuals with congenital amusia draw upon visual information when making auditory or audio-visual judgments. Event-related potentials (ERP) were elicited by a change in pitch (up or down) between two sequential tones paired with a change in spatial position (up or down) between two visually presented dots. The change in dot position was either congruent or incongruent with the change in pitch. Participants were asked to judge (1) the direction of pitch change while ignoring the visual information (AV implicit task), and (2) whether the auditory and visual changes were congruent (AV explicit task). In the AV implicit task, amusic participants performed significantly worse in the incongruent condition than control participants. ERPs showed an enhanced N2–P3 response to incongruent AV pairings for control participants, but not for amusic participants. However when participants were explicitly directed to detect AV congruency, both groups exhibited enhanced N2–P3 responses to incongruent AV pairings. These findings indicate that amusics are capable of extracting information from both modalities in an AV task, but are biased to rely on visual information when it is available, presumably because they have learned that auditory information is unreliable. We conclude that amusic individuals implicitly draw upon visual information when judging auditory information, even though they have the capacity to explicitly recognize conflicts between these two sensory channels.



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Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces

Publication date: 15 July 2016
Source:NeuroImage, Volume 135
Author(s): Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
The human cerebral cortex is marked by great complexity as well as substantial dynamic changes during early postnatal development. To obtain a fairly comprehensive picture of its age-induced and/or disorder-related cortical changes, one needs to match cortical surfaces to one another, while maximizing their anatomical alignment. Methods that geodesically shoot surfaces into one another as currents (a distribution of oriented normals) and varifolds (a distribution of non-oriented normals) provide an elegant Riemannian framework for generic surface matching and reliable statistical analysis. However, both conventional current and varifold matching methods have two key limitations. First, they only use the normals of the surface to measure its geometry and guide the warping process, which overlooks the importance of the orientations of the inherently convoluted cortical sulcal and gyral folds. Second, the 'conversion' of a surface into a current or a varifold operates at a fixed scale under which geometric surface details will be neglected, which ignores the dynamic scales of cortical foldings. To overcome these limitations and improve varifold-based cortical surface registration, we propose two different strategies. The first strategy decomposes each cortical surface into its normal and tangent varifold representations, by integrating principal curvature direction field into the varifold matching framework, thus providing rich information of the orientation of cortical folding and better characterization of the complex cortical geometry. The second strategy explores the informative cortical geometric features to perform a dynamic-scale measurement of the cortical surface that depends on the local surface topography (e.g., principal curvature), thereby we introduce the concept of a topography-based dynamic-scale varifold. We tested the proposed varifold variants for registering 12 pairs of dynamically developing cortical surfaces from 0 to 6 months of age. Both variants improved the matching accuracy in terms of closeness to the target surface and the goodness of alignment with regional anatomical boundaries, when compared with three state-of-the-art methods: (1) diffeomorphic spectral matching, (2) conventional current-based surface matching, and (3) conventional varifold-based surface matching.



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Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity

Publication date: 15 July 2016
Source:NeuroImage, Volume 135
Author(s): Sun Hyung Kim, Ilwoo Lyu, Vladimir S. Fonov, Clement Vachet, Heather C. Hazlett, Rachel G. Smith, Joseph Piven, Stephen R. Dager, Robert C. Mckinstry, John R. Pruett, Alan C. Evans, D. Louis Collins, Kelly N. Botteron, Robert T. Schultz, Guido Gerig, Martin A. Styner
The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6months of age and were reduced at 24months, with the difference pattern switching from higher complexity in males at 6months to higher complexity in females at 24months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.



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Motion and morphometry in clinical and nonclinical populations

Publication date: 15 July 2016
Source:NeuroImage, Volume 135
Author(s): Heath R. Pardoe, Rebecca Kucharsky Hiess, Ruben Kuzniecky
IntroductionThe relationship between participant motion, demographic variables and MRI-derived morphometric estimates was investigated in autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), schizophrenia and healthy controls. Participant motion was estimated using resting state fMRI and used as a proxy measure for motion during T1w MRI acquired in the same session. Analyses were carried out in scans qualitatively assessed as free from motion-related artifact.MethodsWhole brain T1-weighted MRI and resting state fMRI acquisitions from the ABIDE, ADHD-200 and COBRE databases were included in our analyses. Motion was estimated using coregistration of sequential resting state volumes. We investigated if motion is related to diagnosis, age and gender, and scanning site. We further determined if there is a relationship between participant motion and cortical thickness, contrast, and volumetric estimates.Results2141 participants were included in our analyses. Participant motion was higher in all clinical groups compared with healthy controls. Younger (age<20years) and older (age>40years) people move more than individuals aged 20–40years. Increased motion is associated with reduced average cortical thickness (−0.014mm thickness per mm motion, p=0.0014) and cortical contrast (0.77% contrast reduction per mm motion, p=2.16×10⁻⁹) in scans that have been qualitatively assessed as free from motion artifact. Volumetric estimates were also associated with motion, however the relationships were generally weaker than cortical thickness and contrast and were dependent on the segmentation method used.ConclusionsParticipant motion is increased in clinical groups and is systematically associated with morphometric estimates. These findings indicate that accounting for participant motion may be important for improving the statistical validity of morphometric studies.



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Serotonin transporter polymorphism alters citalopram effects on human pain responses to physical pain

Publication date: 15 July 2016
Source:NeuroImage, Volume 135
Author(s): Yina Ma, Chenbo Wang, Siyang Luo, Bingfeng Li, Tor D. Wager, Wenxia Zhang, Yi Rao, Shihui Han
Humans exhibit substantial inter-individual differences in pain perception, which contributes to variability in analgesic efficacy. Individual differences in pain sensitivity have been linked with variation in the serotonin transporter gene (5-HTTLPR), and selective serotonin reuptake inhibitors (SSRIs) such as citalopram have been increasingly used as treatments for multiple pain conditions. We combined genotyping, pharmacological challenge, and neuroimaging during painful electrical stimulation to reveal how serotonin genetics and pharmacology interact to influence pain perception and its underlying neurobiological mechanisms. In a double-blind, placebo-controlled procedure, we acutely administrated citalopram (30mgpo) to short/short (s/s) and long/long (l/l) healthy male 5-HTTLPR homozygotes during functional MRI with painful and non-painful electrical stimulation. 5-HTTLPR genotype modulated citalopram effects on pain-related brain responses in the thalamus, cerebellum, anterior insula, midcingulate cortex and inferior frontal cortex. Specifically, citalopram significantly reduced pain-related brain responses in l/l but not in s/s homozygotes. Moreover, the interaction between 5-HTTLPR genotype and pain-related brain activity was a good predictor of the citalopram-induced reductions in pain reports. The genetic modulations of citalopram effects on brain-wide pain processing were paralleled by significant effects on the Neurological Pain Signature, a multivariate brain pattern validated to be sensitive and specific to physical pain. This work provides neurobiological mechanism by which genetic variation shapes brain responses to pain perception and treatment efficacy. These findings have important implications for the types of individuals for whom serotonergic treatments provide effective pain relief, which is critical for advancing personalized pain treatment.



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