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Verhoye, M.

Publications and source records attributed to Verhoye, M..

At least 19 recordsLinked to original sources

Emergence of social recognition in auditory and integrative circuits during pair bonding

Social relationships profoundly shape the perception of communication signals. In animals that form long-term social bonds, sensory cues such as vocalizations, scent, or physical appearance, and rewarding mating experiences can become associated with a bonded mate. While this natural process has hallmarks of some forms of associative learning, little is known about where or how these experiences shape neural circuits over the course of pair bonding. We used whole-brain BOLD fMRI in female songbirds to explore experience-dependent changes in neural activity in response to male songs. Pair bonding experiences drove changes in activation in response to the partners song within secondary auditory areas as well as two regulatory hubs that receive sensory input and connect to circuits that generate behavioral responses. In contrast, mere exposure to the vocal interactions of a neighboring pair did not result in changes in response to the neighbors song within the same areas, suggesting that pair bonding uniquely impacts auditory responses to familiar songs in select sensory and integrative circuits. Moreover, within the areas that showed increased activation for the partners song over the course of pair bonding, we observed diminished activation in response to the partners song after blocking D1 dopamine receptors, indicating a potential role for dopamine in the expression or maintenance of preference for the partners song. Eavesdropping females had changes in neural activation in response to the familiar song in a different suite of brain regions that were not affected by dopamine manipulation. Our data identify a potential circuit in which concurrent activation of sensory, reward, and regulatory hubs integrates multisensory information from social interactions and leads to the emergence of acoustic preferences and formation of long-lasting social bonds.

neuroscience↗

Mapping brain volume changes in the zQ175DN mouse model of Huntington's disease: a longitudinal MRI study

Huntingtons disease (HD) is a progressive neurodegenerative disease affecting motor and cognitive abilities, as well as exhibiting psychiatric manifestations. Studies in people with HD (PwHD) consistently report atrophy of the caudate and putamen as an early pathological event and is therefore considered an early biomarker. Investigating whether similar phenotypic features are apparent in rodent HD models is important since it could have translational potential in evaluating the efficacy of novel therapeutic strategies. We used high-resolution anatomical images to longitudinally investigate brain morphology in the zQ175DN heterozygous mouse model (HET) and wildtype littermates (WT) at 3, 6, and 10 months of age (M), which reflect different stages of phenotypic progression. We investigated volumetric alterations using semi-automatic segmentations of HD on relevant regions-of-interest (striatum, cerebellum, corpus callosum, cerebral cortex, ventricles, and total brain volume) and whole brain voxel-wise Tensor Based Morphometry (TBM) analysis. The striatum showed the earliest progressive lower absolute volume in HET mice compared to WT, starting from 3M, followed by lower absolute volume of cortex and corpus callosum concomitantly at 6 and 10M. TBM highlighted lower relative local volume in the rostral-medial striatum at all ages, and in cerebral cortex in HET mice at 6 and 10M. A bigger relative local volume in the cerebellum was observed at all ages in HET mice, and in the globus pallidus, substantia nigra, at 6 and 10M. Overall, this study revealed key structural abnormalities that resemble the natural history of PwHD. Hence, analysis of brain structure through MRI in the zQ175DN heterozygous mouse model holds potential for testing disease-modifying treatments expected to slow down or prevent structural degeneration. HighlightsO_LIThe striatum of zQ175DN heterozygous mice shows volume decrease at 3 months compared to WT mice C_LIO_LIWidespread volume reductions are observed from 6 months in zQ175DN heterozygous mice C_LIO_LITensor Based Morphometry highlights vulnerability of the dorsomedial striatum in the zQ175DN heterozygous mouse model C_LI

neuroscience↗

Long-term dietary interventions fail to mitigate functional connectivity loss and cognitive decline in the TgF344-AD rat model of Alzheimers Disease

IntroductionAlzheimers disease (AD) is a complex neurodegenerative disorder, characterized by altered brain functional connectivity and network activity, detectable using resting-state functional MRI (rsfMRI). Caloric restriction (CR) and its mimetic resveratrol (Rsv) have shown potential in reducing AD-related pathology and preserving brain function, though research on long-term efficacy is limited. Therefore, we aimed to assess the effects of short- term CR and Rsv administrations on resting-state (rs) functional connectivity (FC), after which we assessed the effects of long-term CR and Rsv interventions on rs-FC, spatial memory, amyloid burden, and neuroinflammation in TgF344-AD rats (Tg) and wild-type (WT) littermates. Materials and MethodsWe used rsfMRI to investigate rs-FC changes after CR (40%) or daily Rsv supplementation (10 mg/kg, oral) in male and female, WT and TgF344-AD (Tg) rats at the age of 4 months and 11 months, after, respectively, 1 month (short-term) and 8 months (long- term) of either Rsv supplementation, control (Ctrl) or CR diet. Additionally, spatial memory was assessed utilizing the Morris Water Maze (MWM), followed by histological validation of amyloid plaque load (X34), astrogliosis (GFAP) and microgliosis (IBA-1) at 11 months of age. ResultsBoth long-term CR or Rsv supplementation exert limited effects in the TgF344-AD model on the known AD-related pathological hallmarks. Short-term CR led to a reduction in rs-FC in female TgF344-AD rats compared to Rsv Tg supplemented rats for connections primarily within and between the hippocampal network, while between other connections, CR reduced rs-FC compared to Ctrl in females, irrespective of genotype. Rsv increased rs-FC compared to CR for only a few connections in females, again irrespective of genotype. Long- term CR decreased rs-FC in male Tg CR rats, compared to Tg Ctrl and WT CR rats, primarily for connections within the lateral cortical network (LCN). For other connections, CR reduced rs- FC when compared to Ctrl, irrespective of genotype. Overall, Rsv supplementation showed negligible effects on rs-FC. Moreover, long-term CR yielded modest cognitive improvements in male Tg rats, as evidenced by enhanced performance in the MWM but not in females. Histological validation after long-term dietary intervention revealed region-specific increase or decrease of amyloid burden after CR or Rsv supplementation, respectively. Additionally, CR reduced IBA-1 levels in males, irrespective of genotype, GFAP levels were unaffected by long- term dietary intervention. ConclusionAltogether, our findings indicate that long-term CR and Rsv exert distinct and limited effects on AD-related pathology in the TgF344-AD model, with CR demonstrating a modest but greater effect on functional and cognitive measures compared to Rsv. This study underscores the difficulty of altering key disease processes with these long-term dietary approaches, highlighting the need for more comprehensive long-term studies to elucidate the potential modulatory role of dietary interventions on AD pathophysiology.

neuroscience↗

Longitudinal Investigation of Structural and Resting-State Effective Connectivity Alterations in a Non-Human Primate Model of Huntington's Disease

Huntingtons disease (HD) is a genetic neurodegenerative disorder caused by expanded CAG repeats in the huntingtin gene which produce a mutant huntingtin (mHTT) protein that contributes to progressive striatal, cortical, and white-matter atrophy, resulting in motor dysfunction and cognitive decline. Recently, a non-human primate (NHP) model of HD was developed via stereotaxic delivery of an adeno-associated viral vector expressing 85 CAG repeats (85Q) into the striatum. This model recapitulates several neuropathological changes and symptoms observed in people with HD (PwHD) including chorea and mild cognitive impairment. A previous longitudinal, multimodal MRI investigation in this model revealed volumetric and resting-state functional connectivity (rs-FC) changes compared to controls, in key regions involved in HD, over the course of 30 months. We aimed to study longitudinal changes in structural connectivity (SC), obtained from diffusion MRI scans from the same animals, comparing the 85Q animals to the control (Buffer) group. Additionally, going beyond the correlative rs-FC analyses, we investigated changes in causal, inter-regional functional interactions by estimating effective connectivity (EC) from rs functional MRI scans, constrained to strong structural connections. We found that the SC between basal ganglia regions and the cortex was reduced in the 85Q primates compared to the Buffer group at 14-months post virus injection, aligning with the pathological process observed in PwHD at later stages of the disease. EC from the caudate and putamen to the motor cortex was significantly reduced in the 85Q animals as early as 3-months post-injection providing novel insights into early alterations in causal functional interactions.

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Resting-state functional dynamics alterations relate to plasma amyloid markers and explain memory impairments in the TgF344-AD model of Alzheimer's disease

Resting-state (RS) fMRI studies of Alzheimers diseases (AD) impact on brain function commonly use functional connectivity (FC), ignoring short-timescale network dynamics, captured by co-activation patterns (CAPs), shown to accurately classify transgenic rodents from the wild-type (WT). We acquired high temporal resolution RS-fMRI data in the TgF344-AD rat model at pre-plaque and plaque stages and delineated brain functional alterations using FC and CAPs. We also assessed plaque-stage blood amyloid levels and memory performance in the same animals and investigated the statistical relationship between pathological, RS-functional, and behavioral phenotypes. TgF344-AD (TG) rats had elevated blood amyloid levels, committed more working and reference memory errors and showed reduced hippocampal FC with the lateral cortical and default-mode-like network (DMLN) compared to WT at the plaque stage. They showed DMLN and hippocampal hyper- and hypo-activation at pre- and plaque stages respectively in multiple CAPs. While blood amyloid levels were explained better by plaque-stage, than pre-plaque stage, FC values and CAP activations, it was the pre-plaque stage, more than the plaque stage, CAP activations that accurately explained memory impairments. Our findings not only identify early signatures of AD in brain functional dynamics in this translational rat model but demonstrate their relevance for prognosis of memory deficits.

neuroscience↗

Short-term caloric restriction or resveratrol supplementation alters large-scale brain network connectivity in male and female rats

IntroductionDietary interventions such as caloric restriction (CR) exert positive effects on brain health. Unfortunately, poor compliance hinders the success of this approach. A proposed alternative is resveratrol (Rsv), a CR-mimetic known to promote brain health. Direct comparison between the effects of Rsv and CR on brain health is lacking, with limited knowledge on their sex-specific effects. Therefore, we aimed to compare and unravel the sex-specific impact of these dietary interventions on spontaneous brain activity. MethodsHere, we used resting-state fMRI to investigate functional connectivity (FC) changes in five prominent resting-state brain networks (RSNs) in healthy four month old male and female F344 rats supplemented to either 40% CR or daily Rsv supplementation (10 mg/kg, oral) for the duration of one month. ResultsOur results demonstrated a decreased body weight (BW) in CR rats, as well as an increase in body weight in male Rsv supplemented rats, compared to female Rsv supplemented rats, whereas this difference between sexes was not observed in the control or CR groups. Furthermore, we found that both CR or Rsv supplementation induce a female-specific decrease of FC between the subcortical network and hippocampal network, and between the subcortical network and lateral cortical network. Moreover, Rsv supplementation lowered FC within the hippocampal network and between the hippocampal and the default mode like network, the lateral cortical network and the sensory network - an effect not observed for the CR rats. Finally, we observed an overall lower FC in male rats compared to females, irrespective of dietary intervention, within the subcortical network and between the subcortical, the sensory and default mode like network. DiscussionOur findings reveal that both CR and Rsv induce a similar female-specific decrease of FC in RSNs associated with memory and emotion, all the while CR and Rsv induce dissimilar changes in body weight and other within- and between RSN FC measures. Altogether, this study provides insight into the effects and comparability of short-term CR and Rsv supplementation on brain connectivity within and between RSNs in both male and female F344 rats, providing a FC reference for future research of dietary effects.

neuroscience↗

Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease

Alzheimers disease (AD) is a progressive neurodegenerative disease resulting in memory loss and cognitive decline. Synaptic dysfunction is an early hallmark of the disease whose effects on whole-brain functional architecture can be identified using resting-state functional MRI (rsfMRI). Insights into mechanisms of early, whole-brain network alterations can help our understanding of the functional impact of ADs pathophysiology. Here, we obtained rsfMRI data in the TgF344-AD rat model at the pre- and early-plaque stages. This model recapitulates the major pathological and behavioural hallmarks of AD. We used co-activation pattern (CAP) analysis to investigate if and how the dynamic organization of intrinsic brain functional networks states, undetectable by earlier methods, is altered at these early stages. We identified and characterized six intrinsic brain states as CAPs, their spatial and temporal features, and the transitions between the different states. At the pre-plaque stage, the TgF344-AD rats showed reduced co-activation of hub regions in the CAPs corresponding to the default mode-like and lateral cortical network. Default mode-like network activity segregated into two distinct brain states, with one state characterised by high co-activation of the basal forebrain. This basal forebrain co-activation was reduced in TgF344-AD animals mainly at the pre-plaque stage. Brain state transition probabilities were altered at the pre-plaque stage between states involving the default mode-like network, lateral cortical network, and basal forebrain regions. Additionally, while the directionality preference in the network-state transitions observed in the wild-type animals at the pre-plaque stage had diminished at the early-plaque stage, TgF344-AD animals continued to show directionality preference at both stages. Our study enhances the understanding of intrinsic brain state dynamics and how they are impacted at the early stages of AD, providing a nuanced characterization of the early, functional impact of the diseases neurodegenerative process.

neuroscience↗

Evolution of aberrant brain-wide spatiotemporal dynamics of resting-state networks in a Huntington's disease mouse model

Distinct resting-state networks (RSNs) are differentially altered in the course of Huntingtons disease (HD). However, these RSN changes are depicted using traditional functional connectivity analyses which ignore the dynamic brain states that constitute these RSNs and their time-dependent relationship. Dynamic states are represented by recurring spatiotemporal patterns of propagating cortical and subcortical brain activity observed in low-frequency BOLD fluctuations, called quasi-periodic patterns (QPPs). In this study, we used resting-state fMRI to investigate QPPs in the zQ175DN mouse model of HD at 3, 6 and 10 months of age. We identified age- and genotype-specific short (3s) QPPs, representative of the lateral cortical network (LCN) and the default mode-like network (DMLN), and a long (10s) QPP, the homolog of the human primary QPP, exhibiting the propagation of activity between the LCN and the DMLN. Hyperactivity was present in the caudate putamen and the somatosensory cortex in zQ175DN mice at 3 and 6 months of age. Moreover, DMLN-wide reduction in activation was observed at all ages, where at 6 and 10 months of age the reduced activity gradually advanced into a breakdown of the LCN-to-DMLN propagation. We then investigated the relationship in the timing of peak activity of six brain regions involved in the long QPPs and found that the retrosplenial cortex, a transmodal region which orchestrates multisensory integration, has a premature peak of BOLD activation in zQ175DN mice at 6 months of age, as compared to age-matched controls. Irrespective of either LCN or DMLN activation, this resulted in an asynchrony of the retrosplenial cortex in the peak timing relationships relative to other regions during the long (10s) QPPs. Finally, the normative, age-dependent, wild-type QPPs were significantly decreased in occurrence in the zQ175DN group at each age, indicating the presence of phenotypically-driven LCN and DMLN states as captured with QPPs. As BOLD-dependent variations result from neurovascular coupling, we assessed mutant huntingtin (mHTT) deposition in astrocytes and pericytes, known components of the neurogliovascular unit. These analyses showed increased cell-type dependent deposition starting at 6 months in the caudate putamen, somatosensory and motor cortex, regions that are prominently involved in HD pathology as seen in humans. Our findings provide meaningful insights into the development and progression of altered functional brain dynamics in this HD model, opening potential new avenues for its application in clinical HD research. SUMMARYHuntingtons disease (HD) is marked by irreversible loss of neuronal function for which currently no availability for disease-modifying treatment exists. Advances in the understanding of disease progression can aid biomarker development, which in turn can accelerate therapeutic discovery. We characterized the progression of altered dynamics of whole-brain network states in the zQ175DN mouse model of HD using a dynamic functional connectivity (FC) approach to resting-state fMRI and identified quasi-periodic patterns (QPPs) of brain activity constituting the most prominent resting-state networks. The occurrence of the normative QPPs, as observed in healthy controls, was reduced in the HD model as the phenotype progressed. This uncovered progressive cessation of synchronous brain activity with phenotypic progression, which is not observed with the conventional static FC approaches. This work opens new avenues in assessing the dynamics of whole brain states, through QPPs, in clinical HD research.

neuroscience↗

Season-dependent processing of innate conspecific vocalizations in the male and female European starling (Sturnus vulgaris)

Avian innate nestling begging calls are similar to human infant cries in the behavioral response they elicit. However, it remains unknown whether the auditory processing of innate begging calls changes in seasonal songbirds from non-breeding to breeding season when hormonal neuromodulation of the auditory forebrain occurs. An fMRI experiment was set up to expose male and female European starlings (Sturnus vulgaris) to recordings of seasonal conspecific nestling begging calls in the breeding and non-breeding season. This response was compared with their response to conspecific warble motifs and artificial pure tones, both proven seasonally invariable at least in the male starlings neural response. Our results demonstrate significant seasonal variation in auditory forebrain responses exclusively elicited by begging calls and not by the applied control stimuli. Right Field L and the Caudomedial Nidopallium (NCM) seemed, irrespective of season or sex, more sensitive in response to begging than to control stimuli. A seasonal differential response specifically to begging calls was found in both sexes in a ventral midsagittal region of NCM. Our findings thereby support the functional fine-tuning of vocal communications between sender and receiver in a breeding context for innate vocalizations and are in line with the bi-parenting behavior in this species.

neuroscience↗

Resting-State fMRI reveals Longitudinal Alterations in Brain Network Connectivity in a Mouse Model of Huntington's Disease

Huntingtons disease is an autosomal, dominantly inherited neurodegenerative disease caused by an expansion of the CAG repeats in exon 1 of the huntingtin gene. Neuronal degeneration and dysfunction that precedes regional atrophy result in the impairment of striatal and cortical circuits that affect the brains large-scale network functionality. However, the evolution of these disease-driven, large-scale connectivity alterations is still poorly understood. Here we used resting-state fMRI to investigate functional connectivity changes in a mouse model of Huntingtons disease in several relevant brain networks and how they are affected at different ages that follow a disease-like phenotypic progression. Towards this, we used the heterozygous (HET) form of the zQ175DN Huntingtons disease mouse model that recapitulates aspects of human disease pathology. Seed- and Region-based analyses were performed at different ages, on 3-, 6-, 10-, and 12-month-old HET and age-matched wild-type mice. Our results demonstrate decreased connectivity starting at 6 months of age, most prominently in regions such as the retrosplenial and cingulate cortices, pertaining to the default mode-like network and auditory and visual cortices, part of the associative cortical network. At 12 months, we observe a shift towards decreased connectivity in regions such as the somatosensory cortices, pertaining to the lateral cortical network, and the caudate putamen, a constituent of the subcortical network. Moreover, we assessed the impact of distinct Huntingtons Disease-like pathology of the zQ175DN HET mice on age-dependent connectivity between different brain regions and networks where we demonstrate that connectivity strength follows a nonlinear, inverted U-shape pattern, a well-known phenomenon of development and normal aging. Conversely, the neuropathologically driven alteration of connectivity, especially in the default mode and associative cortical networks, showed diminished age-dependent evolution of functional connectivity. These findings reveal that in this Huntingtons disease model, altered connectivity starts with cortical network aberrations which precede striatal connectivity changes, which appear only at a later age. Taken together, these results suggest that the age-dependent cortical network dysfunction seen in rodents could represent a relevant pathological process in Huntingtons disease progression.

neuroscience↗

Longitudinal investigation of changes in resting-state co-activation patterns and their predictive ability in the zQ175 DN mouse model of Huntington's disease

Huntingtons disease (HD) is a neurodegenerative disorder caused by expanded ([≥]40) glutamine-encoding CAG repeats in the huntingtin gene, which leads to dysfunction and death of predominantly striatal and cortical neurons. While the genetic profile and behavioural signs of the disease are better known, changes in the functional architecture of the brain, especially before the behavioural symptoms become apparent, are not fully and consistently characterized. In this study, we sought markers at pre, early and late manifest states of phenotypic progression in the heterozygous (HET) zQ175 delta-neo (DN) mouse model, using resting-state functional magnetic resonance imaging (RS-fMRI). This mouse model shows molecular, cellular and circuitry alterations that resemble those seen in HD in humans. Specifically, we investigated, longitudinally, changes in co-activation patterns (CAPs) that are the transient states of brain activity constituting the resting-state networks (RSNs). Most robust changes in the temporal properties of CAPs occurred at the late manifest state; the durations of two anti-correlated CAPs, characterized by simultaneous co-activation of default-mode like network (DMLN) and co-deactivation of lateral-cortical network (LCN) and vice-versa, were reduced in the zQ175 DN HET animals compared to the wild-type mice. Changes in the spatial properties, measured in terms of activation levels of different brain regions, during CAPs were found at all three states and became progressively more pronounced at the manifest states. We then assessed the cross-validated predictive power of CAP metrics to distinguish HET animals from controls. Spatial properties of CAPs performed significantly better than the chance level at all three states with 80% classification accuracy at the early and late manifest states.

neuroscience↗

Selective cholinergic stimulation of the medial septum-diagonal band of Broca via DREADDs improves spatial learning in healthy rats

The septohippocampal pathway plays an important role in learning and memory. It projects from the medial septum-vertical limb of the diagonal band of Broca (MSDB) to the hippocampus and provides the latter with its main cholinergic innervation. To assess the importance of cholinergic selectivity and timing of MSDB stimulation in modulating learning and memory, we directly compared the effects of several MSDB stimulation strategies in healthy rats. We evaluated the effects of DREADD-mediated selective cholinergic neuronal MSDB stimulation and nonselective neuronal MSDB stimulation on spatial learning and memory in the appetitive radial arm maze and on resting-state brain networks using resting-state functional MRI. DREADDs were activated with the novel DREADD agonist J60. Selective cholinergic MSDB stimulation during - but not after - radial arm maze training improved spatial learning compared with J60-treated sham rats and had no effect on working memory or reversal learning. J60-treated sham rats had a worse working memory than saline-treated sham rats during the reversal phase of the radial arm maze task, suggesting an adverse effect of chronic use of J60. Nonselective MSDB stimulation during training resulted in a loss of appetite and exclusion from the radial arm maze training. Acute selective cholinergic and nonselective MSDB stimulation induced decreased functional connectivity (FC) in the default mode-like network. In addition, acute nonselective MSDB stimulation resulted in increased intrahippocampal FC, while selective cholinergic MSDB stimulation led to globally increased FC with the nucleus accumbens. While the combined effect of radial arm maze learning and the necessary chronic food restriction with or without chronic MSDB stimulation had no observable effect on resting-state networks, chronic food restriction alone globally increased FC in the brain.

neuroscience↗

Early Electrophysiological Aberrations in the Hippocampus of the TgF344-AD Rat Model as a Potential Biomarker for Alzheimer's Disease Prognosis

The hippocampus is thought to guide navigation and has an essential contribution to learning and memory. Hippocampus is one of the brain regions impaired in Alzheimers disease (AD), a neurodegenerative disease with progressive memory impairments and cognitive decline. Although successful treatments for AD are still not available, developing new strategies to detect AD at early stages before clinical manifestation is crucial for timely interventions. Here, we investigated in the TgF344-AD rat model the classification of AD-transgenic rats versus Wild-type littermates (WT) from electrophysiological activity recorded in the hippocampus of freely moving subjects at an early, pre-symptomatic stage of the disease (6 months old). To this end, recorded signals were filtered in two separate frequency regimes namely low frequency LFP signals and high frequency spiking activity and passed to machine learning (ML) classifiers to identify the genotype of the rats (TG vs. WT). For the low frequency analysis, we first filtered the signals and extracted the power spectra in different frequency bands known to carry differential information in the hippocampus (delta, theta, slow- and fast-gamma) while for the high frequency analysis, we extracted spike-trains of neurons and calculated different distance metrics between them, including Van Rossum (VR), Inter Spike Interval (ISI), and Event Synchronization (ES). These measures were then used as features for classification with different ML classifiers. We found that both low and high frequency signals were able to classify the rat genotype with a high accuracy with specific signals such as the gamma band power, providing an important fraction of information. In addition, when we combined information from both low and high frequency the classification was boosted indicating that independent information is present across the two bands. The results of this study offer a better insight into how different regions of the hippocampus are affected in earlier stages of AD.

neuroscience↗

An in-vivo digital atlas of the spatially reliable cerebral vasculature in mice

Cerebral vascular abnormalities can have a large impact on brain function and have been frequently detected as a comorbidity in various neuropathologies. The mouse is the most common pre-clinical animal model used to investigate neuropathologies and thus cerebral vascular atlases of this species are indispensable. In particular, an atlas derived from multiple animals and that can address inter-subject variability is still absent. The current study presents a mouse cerebral vascular atlas developed from MR 2D-TOF angiograms acquired from a relatively high number (N=21) of 12 weeks old male C57BL/6 mice. The vascular atlas we present depicts large arteries, veins and sinuses that are more spatially reliable across animals than smaller vessels. The atlas is available for download and contains multiple datasets: i) a cerebral vascular atlas; ii) a digital segmentation of large vessels (arteries and veins); iii) a high resolution T2 anatomical background aligned to the atlas; iv) a skeletonized vascular atlas; and v) a vascular graph model. We suggest that these components provide a very potent analysis tool for mouse fMRI data and that the atlas can be used as a template for multimodal brain imaging studies. To this end, we also demonstrate an explicit application of the atlas for the investigation of vascular influences in resting-state fMRI.

neuroscience↗

Unravelling the role of thyroid hormones in seasonal neuroplasticity in European Starlings (Sturnus vulgaris)

1Thyroid hormones clearly play a role in the seasonal regulation of reproduction, but any role they might play in song behavior and the associated seasonal neuroplasticity in songbirds remains to be elucidated. To pursue this question, we first established seasonal patterns in the expression of thyroid hormone regulating genes in male European starlings employing in situ hybridization methods. Thyroid hormone transporter LAT1 expression in the song nucleus HVC was elevated during the photosensitive phase, pointing towards an active role of thyroid hormones during this window of possible neuroplasticity. In contrast DIO3 expression was high in HVC during the photostimulated phase, limiting the possible effect of thyroid hormones to maintain song stability during the breeding season. Next, we studied the effect of hypothyroidism on song behavior and neuroplasticity using in vivo MRI. Hypothyroidism inhibited the photostimulation-induced increase in testosterone, confirming the role of thyroid hormones in activating the hypothalamic-pituitary-gonadal (HPG) axis. Surprisingly, apart from the myelination of several tracts during the photostimulated phase, most neuroplasticity related to song production was unaffected by hypothyroidism. Remarkably, T3 plasma concentrations were negatively correlated to the microstructural changes in several song control nuclei. Potentially, a global reduction of circulating thyroid hormones during the photosensitive period is necessary to lift the brake imposed by the photorefractory period, whereas local fine-tuning of thyroid hormone concentrations through LAT1 could activate underlying neuroplasticity mechanisms. Given the complexity of thyroid hormone effects, this study is a steppingstone to disentangle the influence of thyroid hormones on seasonal neuroplasticity.

neuroscience↗

The photosensitive phase acts as a sensitive window for seasonal multisensory neuroplasticity in male and female starlings

Traditionally, research unraveling seasonal neuroplasticity in songbirds has focused on the male song control system and testosterone. We longitudinally monitored the song and neuroplasticity in male and female starlings during multiple photoperiods using Diffusion Tensor and Fixel-Based techniques. These exploratory data-driven whole-brain methods resulted in a population-based tractogram uncovering microstructural sexual dimorphisms in the song control system and beyond. Male brains showed microstructural hemispheric asymmetries, whereas females had higher interhemispheric connectivity, which could not be attributed to brain size differences. Only females with large brains sing but differ from males in their song behavior by showing involvement of the hippocampus. Both sexes experienced multisensory neuroplasticity in the song control, auditory and visual system, and the cerebellum, mainly during the photosensitive period. This period with low gonadal hormones might represent a sensitive window during which different sensory and motor systems in telencephalon and cerebellum can be seasonally re-shaped in both sexes.

animal behavior and cognition↗

Resting-state Co-activation Patterns as Accurate Predictors of Alzheimer's Disease in Aged Mice.

Alzheimers disease (AD), a neurodegenerative disorder marked by accumulation of extracellular amyloid-beta (A{beta}) plaques leads to progressive loss of memory and cognitive function. Resting state fMRI (RS-fMRI) studies have provided links between these two observations in terms of disruption of default mode and task positive resting state networks (RSNs). Important insights underlying these disruptions were recently obtained by investigating dynamic fluctuations in RS-fMRI signals in old TG2576 mice (mouse model of amyloidosis) using a set of quasi-periodic patterns (QPP). QPPs represent repeating spatiotemporal patterns of neural activity of predefined temporal length. In this article, we used an alternative methodology of co-activation patterns (CAPs) that represent instantaneous and transient brain configurations that are likely contributors to the emergence of commonly observed resting state networks (RSNs) and QPPs. We followed a recently published approach for obtaining CAPs that divided all time frames, instead of those corresponding to supra-threshold activations of a seed region as done traditionally, to extract CAPs from RS-fMRI recordings in 10 TG2576 female mice and 8 wild type littermates at 18 months of age. Subsequently we matched the CAPs from the two groups using the Hungarian method and compared the temporal (duration, occurrence rate) and the spatial (lateralization of significantly activated voxels) properties of matched CAPs. We found robust differences in the spatial components of matched CAPs. Finally, we used supervised learning to train a classifier using either the temporal or the spatial component of CAPs to distinguish the transgenic mice from the WT. We found that while duration and occurrence rates of all CAPs performed the classification with significantly higher accuracy than the chance-level, blood oxygen level dependent (BOLD) signals of significantly activated voxels from individual CAPs turned out to be a significantly better predictive feature demonstrating a near perfect classification accuracy. Our results demonstrate resting-state co-activation patterns are a promising candidate for a diagnostic, and potentially, prognostic biomarker of Alzheimers disease.

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Increased soluble amyloid-beta causes early aberrant brain network hypersynchronisation in a mature-onset mouse model of amyloidosis

BackgroundAlzheimers disease (AD) is the most common form of dementia in the elderly population. Currently, no effective cure is available for AD. According to the amyloid hypothesis, the accumulation and deposition of the amyloid-beta (A{beta}) peptides plays a key role in AD pathology. Soluble A{beta} (sA{beta}) oligomers were shown to be synaptotoxic and involved in pathological hypersynchronisation of brain resting-state networks in different transgenic developmental-onset mouse models of amyloidosis. However, the impact of protein overexpression during brain postnatal development may cause additional phenotypes unrelated to AD. To address this concern, we investigated sA{beta} effects on functional resting-state networks in transgenic mature-onset amyloidosis Tet-Off APP (TG) mice.\n\nMethodsTG mice and control littermates were raised on doxycycline (DOX) diet from 3d up to 3m of age to suppress transgenic A{beta} production. Thereafter, longitudinal resting-state functional MRI was performed on a 9.4T MR-system starting from week 0 (3m old mice) up to 28w post DOX treatment. Ex vivo immunohistochemistry and ELISA analysis (additional mice cohort) was performed to address the development of amyloid pathology.\n\nResultsFunctional Connectivity (FC) analysis demonstrated early abnormal hypersynchronisation in the TG mice compared to the controls at 8w post DOX treatment. This effect was observed particularly across regions of the default mode-like network, known to be affected in AD. Ex vivo analyses performed at this time point confirmed a 20-fold increase in total sA{beta} levels and the absence of A{beta} plaques in the TG mice compared to the controls. On the contrary at week 28, TG mice showed an overall hypoconnectivity, coinciding with a widespread deposition of A{beta} plaques in the brain.\n\nConclusionsBy preventing developmental influence of APP and/or sA{beta} during brain postnatal development, we demonstrated FC abnormalities driven by sA{beta} synaptotoxicity on resting state neuronal networks in mature-induced TG mice. Thus, the Tet-Off APP mouse model could be a powerful tool while used as a mature-onset model to shed light into amyloidosis mechanisms in AD. Therefore, this inducible APP expression model used in combination with early non-invasive in vivo rsfMRI readout for sA{beta} synaptotoxicity sets the stage for future A{beta} targeting preventative treatment studies.

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