Are friends really the family we choose? Local variations of hypothalamus activity when viewing personally known faces

Sibling and friend relationships have significant impact on individuals' socio-emotional development. Hypothalamic supraoptic nucleus (SON) and paraventricular nucleus (PVN) synthesize and secrete neuropeptides, including oxytocin, associated with attachment behaviors. Here, using fMRI, we investigate the implication of these two hypothalamic nuclei in the visual processing of personally known faces. Faces of same-sex sibling, best friend, celebrity, and unknown person appear in the middle of the screen while participants perform a task requiring a button click each time a central white dot turns red. Ratings of familiarity (time spent together) and emotionality (feelings toward individual) toward the four individuals are recorded. Local activation within the hypothalamus is assessed via two complementary methods: (1) voxel-based analyses within inclusive mask of the hypothalamus; (2) region-of-interest (ROI) analysis of partial hypothalamic volumes using SON and PVN as center of mass coordinates, with percent signal change extracted and analyzed within these ROIs. Results suggest that the SON responds to all familiar individuals while the PVN has increased response to sibling compared to friend faces and is correlated to familiarity but not emotionality. These findings support differential involvement of local hypothalamic substructures SON and PVN in response to faces of individuals with different social relationships.     

Working memory brain activity and capacity link MAOA polymorphism to aggressive behavior during development

A developmental increase in working memory capacity is an important part of cognitive development, and low working memory (WM) capacity is a risk factor for developing psychopathology. Brain activity represents a promising endophenotype for linking genes to behavior and for improving our understanding of the neurobiology of WM development. We investigated gene–brain–behavior relationships by focusing on 18 single-nucleotide polymorphisms (SNPs) located in six dopaminergic candidate genes (COMT, SLC6A3/DAT1, DBH, DRD4, DRD5, MAOA). Visuospatial WM (VSWM) brain activity, measured with functional magnetic resonance imaging, and VSWM capacity were assessed in a longitudinal study of typically developing children and adolescents. Behavioral problems were evaluated using the Child Behavior Checklist (CBCL). One SNP (rs6609257), located ∼6.6 kb downstream of the monoamine oxidase A gene (MAOA) on human chromosome X, significantly affected brain activity in a network of frontal, parietal and occipital regions. Increased activity in this network, but not in caudate nucleus or anterior prefrontal regions, was correlated with VSWM capacity, which in turn predicted externalizing (aggressive/oppositional) symptoms, with higher WM capacity associated with fewer externalizing symptoms. There were no direct significant correlations between rs6609257 and behavioral symptoms. These results suggest a mediating role of WM brain activity and capacity in linking the MAOA gene to aggressive behavior during development.     

Age-related valence-based reversal in recruitment of medial prefrontal cortex on a visual search task

Previous behavioral research has revealed a positivity effect that occurs with aging, with older adults focusing more on positive information and less on negative emotional stimuli as compared to young adults. Questions have been raised as to whether this effect exists in the rapid detection of information or whether it operates only at later stages of processing. In the present study, we used eye-tracking and neuroimaging methodologies to examine whether the two age groups accomplished the detection of emotional information on a visual search task using the same mechanisms. Eye-tracking results revealed no significant age differences in detection or viewing time of emotional targets as a function of valence. Despite their general similarity in task performance, neuroimaging results revealed an age-related valence-based reversal in medial prefrontal cortex (MPFC) activity, with detection of negative compared to positive targets activating the MPFC more for younger adults, and detection of positive compared to negative targets activating the MPFC more for older adults. These results suggest that age-related valence reversals in neural activity can exist even on tasks that require only relatively automatic processing of emotional information.     

Evidencing a place for the hippocampus within the core scene processing network

Functional neuroimaging studies have identified several “core” brain regions that are preferentially activated by scene stimuli, namely posterior parahippocampal gyrus (PHG), retrosplenial cortex (RSC), and transverse occipital sulcus (TOS). The hippocampus (HC), too, is thought to play a key role in scene processing, although no study has yet investigated scene‐sensitivity in the HC relative to these other “core” regions. Here, we characterised the frequency and consistency of individual scene‐preferential responses within these regions by analysing a large dataset (n = 51) in which participants performed a one‐back working memory task for scenes, objects, and scrambled objects. An unbiased approach was adopted by applying independently‐defined anatomical ROIs to individual‐level functional data across different voxel‐wise thresholds and spatial filters. It was found that the majority of subjects had preferential scene clusters in PHG (max = 100% of participants), RSC (max = 76%), and TOS (max = 94%). A comparable number of individuals also possessed significant scene‐related clusters within their individually defined HC ROIs (max = 88%), evidencing a HC contribution to scene processing. While probabilistic overlap maps of individual clusters showed that overlap “peaks” were close to those identified in group‐level analyses (particularly for TOS and HC), inter‐individual consistency varied across regions and statistical thresholds. The inter‐regional and inter‐individual variability revealed by these analyses has implications for how scene‐sensitive cortex is localised and interrogated in functional neuroimaging studies, particularly in medial temporal lobe regions, such as the HC. Hum Brain Mapp 37:3779–3794, 2016. © 2016 Wiley Periodicals, Inc .     

Joint maximum likelihood estimation of activation and Hemodynamic Response Function for fMRI

Blood Oxygen Level Dependent (BOLD) functional magnetic resonance imaging (fMRI) maps the brain activity by measuring blood oxygenation level, which is related to brain activity via a temporal impulse response function known as the Hemodynamic Response Function (HRF). The HRF varies from subject to subject and within areas of the brain, therefore a knowledge of HRF is necessary for accurately computing voxel activations. Conversely a knowledge of active voxels is highly beneficial for estimating the HRF. This work presents a joint maximum likelihood estimation of HRF and activation based on low-rank matrix approximations operating on regions of interest (ROI). Since each ROI has limited data, a smoothing constraint on the HRF is employed via Tikhonov regularization. The method is analyzed under both white noise and colored noise. Experiments with synthetic data show that accurate estimation of the HRF is possible with this method without prior assumptions on the exact shape of the HRF. Further experiments involving real fMRI experiments with auditory stimuli are used to validate the proposed method.     

Evidence for a dose-dependent effect of pulsed magnetic fields on pain processing

Functional magnetic resonance imaging (fMRI) was used to investigate the dose–response relationship (sham, 100, 200, 1000 μT) between a pulsed extremely low frequency magnetic field (ELFMF) and acute thermal pain on the dominant right hand. Forty-seven participants were recruited, and pulsed ELFMF was applied through the MRI gradient system using a novel technique. Regions of interest (ROIs) matching those of previous studies were examined for a potential dose response. Significant correlations between applied field strength and change in BOLD activity were found in the anterior cingulate and the ipsilateral insula, indicating that there might be either a dose response or a threshold effect of the ELFMF.     

Segregating the significant from the mundane on a moment-to-moment basis via direct and indirect amygdala contributions

If the amygdala is involved in shaping perceptual experience when affectively significant visual items are encountered, responses in this structure should be correlated with both visual cortex responses and behavioral reports. Here, we investigated how affective significance shapes visual perception during an attentional blink paradigm combined with aversive conditioning. Behaviorally, following aversive learning, affectively significant scenes (CS⁺) were better detected than neutral (CS⁻) ones. In terms of mean brain responses, both amygdala and visual cortical responses were stronger during CS⁺ relative to CS⁻ trials. Increased brain responses in these regions were associated with improved behavioral performance across participants and followed a mediation-like pattern. Importantly, the mediation pattern was observed in a trial-by-trial analysis, revealing that the specific pattern of trial-by-trial variability in brain responses was closely related to single-trial behavioral performance. Furthermore, the influence of the amygdala on visual cortical responses was consistent with a mediation, although partial, via frontal brain regions. Our results thus suggest that affective significance potentially determines the fate of a visual item during competitive interactions by enhancing sensory processing through both direct and indirect paths. In so doing, the amygdala helps separate the significant from the mundane.     

A dual echo approach to removing motion artefacts in fMRI time series

In fMRI, subject motion can severely affect data quality. This is a particular problem when movement is correlated with the experimental paradigm as this potentially causes artefactual activation. A method is presented that uses linear regression, to utilise the time course of an image acquired at very short echo time (TE) as a voxel‐wise regressor for a second image in the same echo train, that is acquired with high BOLD sensitivity. The value of this approach is demonstrated using task‐locked motion combined with visual stimulation. Results obtained at both 1.5 and 3 T show improvements in functional activation maps for individual subjects. The method is straightforward to implement, does not require extra scan time and can easily be embedded in a multi‐echo acquisition framework. Copyright © 2009 John Wiley & Sons, Ltd.