Network Dysfunction Research Articles

Monoaminergic network dysfunction and development of depression in multiple sclerosis: a longitudinal investigation.

Monoaminergic network dysfunction is thought to underpin depression in multiple sclerosis (MS) patients. However, longitudinal studies are lacking. Here, we investigated the association between development of depressive symptoms in MS and changes of resting-state functional connectivity (RS FC) within monoaminergic networks. Forty-nine MS patients without depression [Montgomery-Asberg Depression Scale (MADRS) ≤ 9] and 27 healthy controls underwent clinical and 3.0T RS FC assessment at baseline and after a median follow-up of 1.6years (interquartile range 1.0-2.1years). Monoamine-related RS FC was derived by independent component analysis, constrained to PET atlases for dopamine, noradrenaline and serotonin transporters. Longitudinal changes of RS FC within monoaminergic networks and their correlations with MADRS scores were assessed. At baseline, MS patients showed decreased RS FC vs healthy controls in all PET-guided monoaminergic networks in frontal, cingulate and cerebellar cortices, and increased RS FC in parieto-occipital regions. Fourteen (29%) MS patients developed depressive symptoms (MADRS > 9) at follow-up (D-MS) and exhibited widespread RS FC decrease over time in the PET-guided dopamine network, mainly in orbitofrontal, occipital, anterior cingulate and precuneal cortices compared to patients who did not develop depressive symptoms. In D-MS, decreased RS FC over time was also observed in parahippocampal and occipital regions of the PET-guided noradrenaline network. Decreased RS FC over time in dopamine and noradrenaline PET-guided networks correlated with concomitant increased MADRS scores (r = range - 0.65/- 0.61, p < 0.001). The development of depressive symptoms in MS patients was associated with specific RS FC changes within the dopamine and noradrenaline networks.

Mouse model of focal cortical dysplasia type II generates a wide spectrum of high-frequency activities

High-frequency oscillations (HFOs) represent an electrographic biomarker of endogenous epileptogenicity and seizure-generating tissue that proved clinically useful in presurgical planning and delineating the resection area. In the neocortex, the clinical observations on HFOs are not sufficiently supported by experimental studies stemming from a lack of realistic neocortical epilepsy models that could provide an explanation of the pathophysiological substrates of neocortical HFOs. In this study, we explored pathological epileptiform network phenomena, particularly HFOs, in a highly realistic murine model of neocortical epilepsy due to focal cortical dysplasia (FCD) type II. FCD was induced in mice by the expression of the human pathogenic mTOR gene mutation during embryonic stages of brain development. Electrographic recordings from multiple cortical regions in freely moving animals with FCD and epilepsy demonstrated that the FCD lesion generates HFOs from all frequency ranges, i.e., gamma, ripples, and fast ripples up to 800 Hz. Gamma-ripples were recorded almost exclusively in FCD animals, while fast ripples occurred in controls as well, although at a lower rate. Gamma-ripple activity is particularly valuable for localizing the FCD lesion, surpassing the utility of fast ripples that were also observed in control animals, although at significantly lower rates. Propagating HFOs occurred outside the FCD, and the contralateral cortex also generated HFOs independently of the FCD, pointing to a wider FCD network dysfunction. Optogenetic activation of neurons carrying mTOR mutation and expressing Channelrhodopsin-2 evoked fast ripple oscillations that displayed spectral and morphological profiles analogous to spontaneous oscillations. This study brings experimental evidence that FCD type II generates pathological HFOs across all frequency bands and provides information about the spatiotemporal properties of each HFO subtype in FCD. The study shows that mutated neurons represent a functionally interconnected and active component of the FCD network, as they can induce interictal epileptiform phenomena and HFOs.

Interhemispheric connectivity dynamics of brain activity indused by cortical spreading depolarization in rats

Growing experimental and clinical evidence indicates the crucial role of network dysfunction in neurological disorders’ pathogenesis, including migraine, one of the most prevalent chronic brain diseases. Episodic headache attacks, frequently unilateral, accompanied by an aura, are associated with migraine. Migraine aura is a neurological condition characterized by the temporary development of unilateral sensory, motor, and/or speech disturbances. The symptoms are thought to indicate transient cerebral dysfunction in the cerebral cortex resulting from cortical spreading depolarization (SD), a wave of strong cellular depolarization that gradually spreads through the cortex at a rate of 3–5 mm/min. Electrophysiologically, the cortical SD wave is revealed by a high-amplitude slow negative shift in the extracellular potential and temporary suppression of the electrical activity of the cortex (EEG depression). The change in extracellular potential is associated with strong neuroglial depolarization and disruption of local ion homeostasis, which lasts for 1–2 min in healthy neuronal tissue. The SD results in a momentary suppression of the spontaneous electrical activity within the cortex, which is preceded by a brief excitation of the neurons. The neurological symptoms of the aura suggest a unilateral impairment of interhemispheric interactions during the early phase of a migraine attack. Our study investigated the effect of unilateral SD (a probable pathophysiological mechanism of migraine aura) on interhemispheric functional communication in freely behaving rats using local field potentials of the visual and motor cortex. Two methods were used to examine connectivity: mutual information function, computed using the method proposed in [1], and phase synchronization, calculated through the method [2], for four frequency bands: delta (1–4 Hz), theta (4–10 Hz), beta (10–25 Hz), and gamma (25–50 Hz). This was done by performing calculations on non-overlapping twenty-second intervals. Functional connectivity evolution was analyzed using local field potential records collected from homotopic points of the motor and visual cortex of two hemispheres in freely moving rats after inducing a single unilateral cortical SD in the somatosensory cortex. Cortical SD caused a significant wide-band decline (3–4 times) in interhemispheric functional connectivity in both the visual and motor cortex areas. Following the depolarization wave, the functional decoupling of the hemispheres began and progressively intensified, concluding by 5 min after the induction of the cortical SD wave. The network impairment displayed region- and frequency-specific features, with greater prominence observed in the visual cortex than in the motor cortex. The decline in functional connectivity was concurrent with abnormal animal behavior and aberrant activity in the ipsilateral cortex that appeared after the SD wave had ended. The study indicated that unilateral SD leads to a reversible decline in the functional interhemispheric connectivity in the awake animal cortex. Given the crucial role of synchronizing cortical oscillations for processing sensory information and integrating sensorimotor functions, the intracortical functional interactions disruption resulting from a unilateral SD wave, which we discovered in our present study, could contribute to the neuropathological mechanisms of migraine aura and sensory processing dysfunction during a migraine attack.

Function and dysfunction of the dystonia network: an exploration of neural circuits that underlie the acquired and isolated dystonias.

Dystonia is a highly prevalent movement disorder that can manifest at any time across the lifespan. An increasing number of investigations have tied this disorder to dysfunction of a broad "dystonia network" encompassing the cerebellum, thalamus, basal ganglia, and cortex. However, pinpointing how dysfunction of the various anatomic components of the network produces the wide variety of dystonia presentations across etiologies remains a difficult problem. In this review, a discussion of functional network findings in non-mendelian etiologies of dystonia is undertaken. Initially acquired etiologies of dystonia and how lesion location leads to alterations in network function are explored, first through an examination of cerebral palsy, in which early brain injury may lead to dystonic/dyskinetic forms of the movement disorder. The discussion of acquired etiologies then continues with an evaluation of the literature covering dystonia resulting from focal lesions followed by the isolated focal dystonias, both idiopathic and task dependent. Next, how the dystonia network responds to therapeutic interventions, from the "geste antagoniste" or "sensory trick" to botulinum toxin and deep brain stimulation, is covered with an eye towards finding similarities in network responses with effective treatment. Finally, an examination of how focal network disruptions in mouse models has informed our understanding of the circuits involved in dystonia is provided. Together, this article aims to offer a synthesis of the literature examining dystonia from the perspective of brain networks and it provides grounding for the perspective of dystonia as disorder of network function.

Breath-Hold-Triggered BOLD fMRI in Drug-Resistant Nonlesional Focal Epilepsy-APilot Study.

Individuals with drug-resistant epilepsy may benefit from epilepsy surgery. In nonlesional cases, where no epileptogenic lesion can be detected on structural magnetic resonance imaging, multimodal neuroimaging studies are required. Breath-hold-triggered BOLD fMRI (bh-fMRI) was developed to measure cerebrovascular reactivity in stroke or angiopathy and highlights regional network dysfunction by visualizing focal impaired flow increase after vasodilatory stimulus. This regional dysfunction may correlate with the epileptogenic zone. In this prospective single-center single-blind pilot study, we aimed to establish the feasibility and safety of bh-fMRI in individuals with drug-resistant non-lesional focal epilepsy undergoing presurgical evaluation. In this prospective study, 10consecutive individuals undergoing presurgical evaluation for drug-resistant focal epilepsy were recruited after case review at amultidisciplinary patient management conference. Electroclinical findings and results of other neuroimaging were used to establish the epileptogenic zone hypothesis. To calculate significant differences in cerebrovascular reactivity in comparison to the normal population, bh-fMRIs of 16healthy volunteers were analyzed. The relative flow change of each volume of interest (VOI) of the atlas was then calculated compared to the flow change of the whole brain resulting in an atlas of normal cerebral reactivity. Consequently, the mean flow change of every VOI of each patient was tested against the healthy volunteers group. Areas with significant impairment of cerebrovascular reactivity had decreased flow change and were compared to the epileptogenic zone localization hypothesis in asingle-blind design. Acquisition of bh-fMRI was feasible in 9/10cases, with one patient excluded due to noncompliance with breathing maneuvers. No adverse events were observed, and breath-hold for intermittent hypercapnia was well tolerated. On blinded review, we observed full or partial concordance of the local network dysfunction seen on bh-fMRI with the electroclinical hypothesis in 6/9cases, including cases with extratemporal lobe epilepsy and those with nonlocalizing 18F-fluorodeoxyglucose positron emission tomography (FDG-PET). This represents the first report of bh-fMRI in individuals with epilepsy undergoing presurgical evaluation. We found bh-fMRI to be feasible and safe, with apromising agreement to electroclinical findings. Thus, bh-fMRI may represent apotential modality in the presurgical evaluation of epilepsy. Further studies are needed to establish clinical utility.

Radiomics models based on cortical damages for identification of multiple sclerosis with cognitive impairment

BackgroundCognitive impairment (CI) is a common symptom in multiple sclerosis (MS) patients. Cortical damages can be closely associated with cognitive network dysfunction and clinically significant CI in MS. So, in this study, We aimed to develop a radiomics model to efficiently identify the MS patients with CI based on clinical data and cortical damages. MethodsOne hundred and eighteen patients with MS were divided into CI and normal cognitive (NC) cohorts (62/56) as defined by the Montreal Cognitive Assessment (MoCA). All participants were randomly divided into train and test sets with a ratio of 7:3. The radiomic features were selected by using the least absolute shrinkage and selection operator (LASSO) method. The discrimination models were built with the support vector machines (SVM) by the clinical data, radiomic features, and merge data, respectively. And the patients were further divided according to each cognitive domain including memory, visuospatial, language, attention and executive, and each domain model was applied by the most suitable classifier. ResultsA total of 2298 features were extracted, of which 36 were finally selected. The merge model showed the greatest performance with the area under the curve (AUC) of 0.86 (95 % confidence interval: 0.81–0.91), accuracy (ACC) of 0.78, sensitivity of 0.79 and specificity of 0.77 in test cohort. However, although the visuospatial domain model showed the highest AUC of 0.71 (95 % confidence interval: 0.61–0.81) among five domain models, other domain models did not meet satisfactory results with a relatively low AUC, ACC, sensitivity and specificity. ConclusionsThe radiomics model based on clinical data and cortical damages had a great potential to identify the MS patients with CI for clinical cognitive assessment.

Heart Rate Variability during Slow Wave Sleep is Linked to Resting‐state Functional Connectivity in the Central Autonomic Network among Older Adults ‘at‐risk’ of Dementia

AbstractBackgroundReduced heart rate variability (HRV) can be an early sign of autonomic dysfunction in neurodegenerative diseases, and may be related to brain dysfunction in the central autonomic network (CAN). As yet, such autonomic dysfunction has not been examined during sleep – which is an ideal physiological state to study brain‐heart interaction as both the central and peripheral nervous systems behave differently compared to during wakefulness. Therefore, we aimed to examine whether nocturnal HRV, especially slow wave sleep (SWS), is associated with CAN functional connectivity in older adults ‘at‐risk’ of dementia.MethodOlder adults (n = 78; age range = 50‐88 years; 64% female) attending a memory clinic for cognitive concerns underwent resting‐state functional magnetic resonance imaging and an overnight polysomnography. From these, CAN functional connectivity strength and HRV data during sleep were derived, respectively. High‐frequency heart rate variability (HF‐HRV) was extracted to index parasympathetic activity during distinct periods of sleep, including SWS as well as secondary outcomes of non‐rapid eye movement sleep, wake after sleep onset, and rapid eye movement sleep. General linear models were used to examine associations between CAN functional connectivity and HF‐HRV.ResultAnalyses revealed that increased HF‐HRV during SWS was associated with stronger functional connectivity (F = 3.98, p = 0.022) in two core brain regions within the CAN, the right anterior insular and posterior midcingulate cortex, as well as stronger functional connectivity (F = 6.21, p = 0.005) between broader CAN brain regions – the right amygdala with three sub‐nuclei of the thalamus. There were no significant associations between HF‐HRV and CAN functional connectivity during wake after sleep onset or rapid eye movement sleep.ConclusionThese findings show that in older adults ‘at‐risk’ of dementia, parasympathetic regulation during SWS is uniquely linked to differential functional connectivity within both core and broader CAN brain regions. It is possible that dysfunctional brain‐heart interactions manifest primarily during this specific period of sleep known for its role in memory and metabolic clearance. Further studies elucidating the pathophysiology and directionality of this relationship should be conducted to determine if HRV drives neurodegeneration, or if brain degeneration within the CAN promotes aberrant HRV.

Transcranial Magnetic Stimulation based Network Integrity Assessment in Alzheimer’s disease

AbstractBackgroundAlzheimer’s disease (AD) has a relatively well‐characterized pathology of amyloid‐β and tau accumulation. Yet, disease progression from preclinical to clinical stage remains largely unpredictable at the individual level. Growing evidence shows disrupted synaptic signaling in functionally connected brain networks early in the preclinical stage, and suggests impaired network integrity, assessed with functional connectivity measures, as potential markers for disease symptomatology in AD.MethodHere propose a novel TMS‐induced causal connectivity measure reflecting integrity of multi‐synaptic signaling within the stimulated brain networks. In a preliminary sample of 9 cognitively normal older adults (Healthy Controls: HCs) and 11 patients with amnestic mild cognitive impairment or mild dementia (early AD), we applied 150 single pulses of TMS to inferior parietal lobule (IPL), a distinct brain region within the default mode network (DMN) showing decreased metabolism in early AD and recorded TMS evoked neural responses with simultaneous electroencephalography (TMS‐EEG). We also characterized spontaneous brain activity with resting‐state EEG (rsEEG) measurements. We performed source space spectral power analyses and seed‐based power envelope correlations (PEC) to estimate cortical distribution of relative alpha power and spontaneous IPL connectivity as rsEEG measurements. Network integrity was defined as the ratio of significantly activated vertices to the total number of vertices within the DMN following TMS of IPL.ResultAlthough relative alpha power (8‐12 Hz) was slightly lower and seed based connectivity was slightly higher within the IPL node in AD participants, no network specific differences was observed across the cortex for both rsEEG measures. On the other hand, DMN integrity was substantially lower in AD participants with an average ratio of 0.53 (0.79 in HC) indicating that almost half of the vertices within the DMN were not activated by TMS.ConclusionOverall, these preliminary analyses suggest that perturbation‐based (TMS‐EEG) measures may reveal neurophysiological signatures of brain network dysfunction that are not observable in spontaneous brain oscillations, and thus may characterize defining features of network failure in preclinical and mild AD.

Neurophysiological alterations in mice and humans carrying mutations in APP and PSEN1 genes

AbstractBackgroundStudies in animal models of Alzheimer’s disease (AD) have provided valuable insights into the molecular and cellular processes underlying neuronal network dysfunction, but whether and how AD‐related neurophysiological alterations translate between mice and men remains uncertain.MethodWe characterized neurophysiological alterations in mice and humans carrying AD mutations in the APP and/or PSEN1 genes, focusing on early changes. Longitudinal local field potential recordings were peformed in 3‐12‐month‐old APP/PS1 mice and cross‐sectional magnetoencephalography recordings in pre‐symptomatic human APP and PSEN1 mutation carriers. Recordings were acquired of the left hippocampus, frontal and parietal cortex. We performed spectral activity and functional connectivity analyses and results were compared with wildtype control mice and healthy age‐matched human subjects.ResultAPP/PS1 mice showed increased aboslute power, especially at higher frequencies (beta and gamma) and predominantly between 3 and 6 months of age. Relative power showed an overall shift from lower to higher fequencies over almost the entire recording period and across all three brain regions. There was a trend for reduced peak frequency in APP/PS1 mice at 3‐4 months of age. Human mutation carriers did not show changes in power except for an increase in relative theta power in the hippocampus. Parietal cortex and hippocampal peak frequency were reduced in human mutation carriers. In both models, significant alteration in functional connectivity were detected in theta, alpha, beta and gamma frequency bands, but the exact frequency range and direction of change differed for APP/PS1 mice and human mutation carriers (Table 1).ConclusionIn conclusion, both mice and humans carrying APP and/or PSEN1 mutations show abnormal neurophysiological activity, but several measures do not translate one‐to‐one between species. Alterations in spectral characteristics and functional connectivity in mice should be interpreted with care and may be due to overexpression of amyloid in combination with absence of tau pathology in cholinergic degeneration. Future studies should explore whether changes in brain activity in other AD mouse models provide better translation to the human AD continuum.

Neuronal hyperexcitability in AD

AbstractBackgroundBecause neuronal and network deficits are the imperative immediate consequences of pathological changes of disease mechanisms, neurophysiological manifestations associated with Aβ and tau are uniquely positioned to demonstrate the abnormal homeostatic and maladaptive circuit alterations and the dynamic integrated effects of underlying genetics and neuropathological changes in Alzheimer’s disease (AD). Importantly, network dysfunction manifesting as abnormal hyper‐ as well as hypo‐active oscillatory brain rhythms is detectable even during the prodromal phase of disease. Here we leveraged the higher spatial and precise temporal resolution of Magnetoencephalography (MEG) to define frequency‐specific and region‐dependent patterns of oscillatory deficits in AD patients, and to demonstrate the earliest neurophysiological abnormalities associated with AD neuropathology and their mechanistic relationships to network hyperexcitability.MethodWe studied the resting brain oscillations in individuals with AD‐spectrum (n = 88) and age‐matched controls (n = 70) using MEG. In addition, subsets of participants were evaluated with positron emission tomography (PET) with Aβ and tau specific tracers and fluid biomarker including plasma P‐tau181 and Neuro‐Filament‐Light (NFL). We used statistical mixed models to investigate the associations between neural oscillations and pathology. We used a linear Neural‐Mass‐Model (NMM) in combination with empirical MEG spectra to derive the excitatory‐to‐inhibitory activity within neuronal subpopulations in AD patients. Based on standard neurophysiological monitoring we determined clinical evidence of hyperexcitability as AD with and without epileptiform activity (AD‐EPI+; AD‐EPI‐).ResultWhile increase and decrease of oscillatory activity are distinctly associated Aβ and tau, respectively, the characteristic frequency‐specific manifestation in AD was increased spectral signature within delta‐theta (2‐7Hz) and reduced spectral signature within alpha (8‐12Hz). Earliest spectral changes were detected in Aβ+ cognitively unimpaired and the increased spectral signature associated with Aβ was replicated in identical associations with plasma p‐tau181. The presence of APO‐E4 allele strengthened these associations. NMM demonstrated greater excitatory‐inhibitory‐activity in AD‐EPI+ vs. AD‐EPI‐ while these were specifically correlated with the reduced alpha spectrum which was more profound in AD‐EPI+ as well as uniquely associated with increased tau depositions.ConclusionOur results provide critical insights about potential mechanistic links between abnormal neural oscillations and cellular correlates of impaired excitatory and inhibitory synaptic functions associated with tau and Aβ, in patients with AD.

Interaction between Oligomeric Amyloid‐β and Cardiovascular Risk Factors is Associated with Executive and Dorsal Attention Network Dysfunction in Pre‐dementia

AbstractBackgroundOligomeric amyloid‐β(OAβ) accumulation within brain tissue has been shown to be associated with major AD neuropathological features including tau pathology, synaptic loss, inflammation and oxidative damage; as well as cognitive impairment in dementia cohorts (Celine.E.N et.al.,2018). However, association of OAβ with functional connectivity (FC) and cardiovascular risk factors is not clearly known in the pre‐dementia stage. We aimed to examine association of FC with OAβ and other dementia risk factors in a pre‐dementia cohort to understand the underlying mechanisms related to OAβ.MethodsWe included 98 age and sex matched participants and classified them into OAβ+(28) and OAβ‐(70) subgroups using a OAβ cut‐off ratio of ≥ 0.9 (MDS‐ OAβ Test Kit, PeopleBio Inc, South Korea). Participants completed resting‐state functional MRI, clinical and lifestyle history questionnaires, blood, and neuropsychological assessments for global cognition on Montreal cognitive assessment and Visual Cognitive Assessment at Dementia Research Centre (Singapore). The Cardiovascular Risk Factors, Aging and Dementia (CAIDE) risk score was computed, and independent sample or chi‐squared analysis were performed to evaluate group‐level participant characteristics. Region‐of‐interest based FC analysis for 19 seeds from executive control (ECN), default‐mode, salience and dorsal‐attention networks (DAN) was performed to examine the network‐based FC differences in OAβ+ and OAβ‐ groups in association with CAIDE using ANCOVA model.ResultsMean age of OAβ+ and OAβ‐ were 62.04±8.84, and 62.05±8.07 (Table‐1). No significant FC differences were observed between OAβ+ vs OAβ‐ subjects. There were no significant FC differences related to CAIDE score in OAβ+ and OAβ‐ groups. Nonetheless, the OAβ*CAIDE interaction showed significant FC changes. The OAβ+*CAIDE interaction analyses showed reduced FC within ECN and DAN (Figure‐1a). Whereas OAβ‐*CAIDE interaction showed reduced FC only within ECN (Figure‐1b). Furthermore, OAβ interaction with apolipoprotein‐ε4 (OAβ*APOE4) was found to further influence FC trends in ECN and DAN (Figure‐1c,1d).ConclusionWhile no FC differences were observed between OAβ+ vs OAβ‐ subjects, the interaction between CAIDE and APOE4 moderated FC changes within the ECN and DAN. These observations in a pre‐dementia cohort suggest that the presence of cerebrovascular risk factors may result in differential FC dysfunction in ECN and DAN depending on APOE4 status.

Alzheimer’s disease risk gene BIN1 modulates neural network activity through the regulation of L‐type calcium channel expression in human induced neurons

AbstractBackgroundBridging Integrator 1 (BIN1) is the second most important Alzheimer’s disease (AD) risk gene after APOE, but its physiological roles and contribution to brain pathology are largely elusive. In this work, we tackled the short‐ and long‐term effects of BIN1 deletion in human induced neurons (hiNs).MethodWe generated isogenic BIN1 WT, KO and HET human induced pluripotent stem cells (hiPSCs), which were differentiated into hiNs grown in 2D and 3D (cerebral organoids) cultures. We also developed a novel protocol for the generation of highly pure glutamatergic neuron cultures, allowing the study of cell‐autonomous roles of BIN1. Using these three different systems, we probed neuronal electrical activity using MEA electrophysiology and gene expression alterations in individual cell types using snRNA‐seq.ResultWe show that BIN1 depletion leads to specific transcriptional alterations in glutamatergic neurons involving mainly genes associated with calcium homeostasis, ion transport and synapse function. We also show that BIN1 regulates calcium transients and neuronal electrical activity through interaction with the L‐type voltage‐gated calcium channel Cav1.2 and regulation of activity‐dependent internalization of this channel. Treatment with the Cav1.2 antagonist nifedipine partly rescues neuronal electrical and gene expression alterations in BIN1 knockout hiNs.ConclusionOur results indicate that BIN1 loss‐of‐function impairs calcium homeostasis at least in glutamatergic neurons, potentially contributing to the transcriptional changes and neural network dysfunctions observed in AD.

From local APP expression to network dysfunction.

From local APP expression to network dysfunction.

Connectomics-based resting-state functional network alterations predict suicidality in major depressive disorder

Suicidal behavior is a major concern for patients who suffer from major depressive disorder (MDD). However, dynamic alterations and dysfunction of resting-state networks (RSNs) in MDD patients with suicidality have remained unclear. Thus, we investigated whether subjects with different severity of suicidal ideation and suicidal behavior may have different disturbances in brain RSNs and whether these changes could be used as the diagnostic biomarkers to discriminate MDD with or without suicidal ideation and suicidal behavior. Then a multicenter, cross-sectional study of 528 MDD patients with or without suicidality and 998 healthy controls was performed. We defined the probability of dying by the suicide of the suicidality components as a ‘suicidality gradient’. We constructed ten RSNs, including default mode (DMN), subcortical (SUB), ventral attention (VAN), and visual network (VIS). The network connections of RSNs were analyzed among MDD patients with different suicidality gradients and healthy controls using ANCOVA, chi-squared tests, and network-based statistical analysis. And support vector machine (SVM) model was designed to distinguish patients with mild-to-severe suicidal ideation, and suicidal behavior. We found the following abnormalities with increasing suicidality gradient in MDD patients: within-network connectivity values initially increased and then decreased, and one-versus-other network values decreased first and then increased. Besides, within- and between-network connectivity values of the various suicidality gradients are mainly negatively correlated with HAMD anxiety and positively correlated with weight. We found that VIS and DMN-VIS values were affected by age (p < 0.05), cingulo-opercular network, and SUB-VAN values were statistically influenced by sex (p < 0.05). Furthermore, the SVM model could distinguish MDD patients with different suicidality gradients (AUC range, 0.73–0.99). In conclusion, we have identified that disrupted brain connections were present in MDD patients with different suicidality gradient. These findings provided useful information about the pathophysiological mechanisms of MDD patients with suicidality.

Neuronal transcriptome, tau and synapse loss in Alzheimer’s knock-in mice require prion protein

BackgroundProgression of Alzheimer’s disease leads to synapse loss, neural network dysfunction and cognitive failure. Accumulation of protein aggregates and brain immune activation have triggering roles in synaptic failure but the neuronal mechanisms underlying synapse loss are unclear. On the neuronal surface, cellular prion protein (PrPC) is known to be a high-affinity binding site for Amyloid-β oligomers (Aβo). However, PrPC’s dependence in knock-in AD models for tau accumulation, transcriptomic alterations and imaging biomarkers is unknown.MethodsThe necessity of PrPC was examined as a function of age in homozygous AppNL−G−F/hMapt double knock-in mice (DKI). Phenotypes of AppNL−G−F/hMapt mice with a deletion of Prnp expression (DKI; Prnp−/−) were compared with DKI mice with intact Prnp, mice with a targeted deletion of Prnp (Prnp−/−), and mice with intact Prnp (WT). Phenotypes examined included behavioral deficits, synapse loss by PET imaging, synapse loss by immunohistology, tau pathology, gliosis, inflammatory markers, and snRNA-seq transcriptomic profiling.ResultsBy 9 months age, DKI mice showed learning and memory impairment, but DKI; Prnp−/− and Prnp−/− groups were indistinguishable from WT. Synapse loss in DKI brain, measured by [18F]SynVesT-1 SV2A PET or anti-SV2A immunohistology, was prevented by Prnp deletion. Accumulation of Tau phosphorylated at aa 217 and 202/205, C1q tagging of synapses, and dystrophic neurites were all increased in DKI mice but each decreased to WT levels with Prnp deletion. In contrast, astrogliosis, microgliosis and Aβ levels were unchanged between DKI and DKI; Prnp−/− groups. Single-nuclei transcriptomics revealed differential expression in neurons and glia of DKI mice relative to WT. For DKI; Prnp−/− mice, the majority of neuronal genes differentially expressed in DKI mice were no longer significantly altered relative to WT, but most glial DKI-dependent gene expression changes persisted. The DKI-dependent neuronal genes corrected by Prnp deletion associated bioinformatically with synaptic function. Additional genes were uniquely altered only in the Prnp−/− or the DKI; Prnp−/− groups.ConclusionsThus, PrPC-dependent synapse loss, phospho-tau accumulation and neuronal gene expression in AD mice can be reversed without clearing Aβ plaque or preventing gliotic reaction. This supports targeting the Aβo-PrPC interaction to prevent Aβo-neurotoxicity and pathologic tau accumulation in AD.

Hippocampal TMEM55B overexpression in the 5XFAD mouse model of Alzheimer's disease.

Dysfunction of the endosomal-lysosomal network is a notable feature of Alzheimer's disease (AD) pathology. Dysfunctional endo-lysosomal vacuoles accumulate in dystrophic neurites surrounding amyloid β (Aβ) plaques and may be involved in the pathogenesis and progression of Aβ aggregates. Trafficking and thus maturation of these dysfunctional vacuoles is disrupted in the vicinity of Aβ plaques. Transmembrane protein 55B (TMEM55B), also known as phosphatidylinositol-4,5-bisphosphate 4-phosphatase 1 (PIP4P1) is an endo-lysosomal membrane protein that is necessary for appropriate trafficking of endo-lysosomes. The present study tested whether overexpression of TMEM55B in the hippocampus could prevent plaque-associated axonal accumulation of dysfunctional endo-lysosomes, reduce Aβ plaque load, and prevent hippocampal-dependent learning and memory deficits in the 5XFAD mouse models of Aβ plaque pathology. Immunohistochemical analyses revealed a modest but significant reduction in the accumulation of endo-lysosomes in dystrophic neurites surrounding Aβ plaques, but there was no change in hippocampal-dependent memory or plaque load. Overall, these data indicate a potential role for TMEM55B in reducing endo-lysosomal dysfunction during AD-like Aβ pathology.

Neural Correlates of Facial Emotion Recognition Impairment in Blepharospasm: A Functional Magnetic Resonance Imaging Study.

Selective impairment in recognizing facial expressions of disgust was reported in patients with focal dystonia several years ago, but the basic neural mechanisms remain largely unexplored. Therefore, we investigated whether dysfunction of the brain network involved in disgust recognition processing was related to this selective impairment in blepharospasm. Facial emotion recognition evaluations and resting-state functional magnetic resonance imaging were performed in 33 blepharospasm patients and 33 healthy controls (HCs). The disgust processing network was constructed, and modularity analyses were performed to identify sub-networks. Regional functional indexes and intra- and inter-functional connections were calculated and compared between the groups. Compared to HCs, blepharospasm patients demonstrated a worse performance in disgust recognition. In addition, functional connections within the sub-network involved in perception processing rather than recognition processing of disgust were significantly decreased in blepharospasm patients compared to HCs. Specifically, decreased functional connections were noted between the left fusiform gyrus (FG) and right middle occipital gyrus (MOG), the left FG and right FG, and the right FG and left MOG. We identified decreased functional activity in these regions, as indicated by a lower amplitude of low-frequency fluctuation in the left MOG, fractional amplitude of low-frequency fluctuation in the right FG, and regional homogeneity in the right FG and left MOG in blepharospasm patients versus HCs. Our results suggest that dysfunctions of the disgust processing network exist in blepharospasm. A deficit in disgust emotion recognition may be attributed to disturbances in the early perception of visual disgust stimuli in blepharospasm patients.

44 Functional Connectivity In The Default Mode Network Of ASD and ADHD

Objective:Autism Spectrum Disorders (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) are neurodevelopmental disorders with overlapping symptomatology and shared genetic makeup. Numerous previous studies have investigated ASD and ADHD using resting state functional networks. One functional network of particular interest is the Default Mode Network (DMN), as it has been shown to be abnormal in several mental disorders. Previous studies have investigated the DMN in ASD and ADHD separately but reported mixed trends of increased and decreased functional connectivity (FC) in the DMN in ASD and increased FC in ADHD. Additionally, little studies have investigated executive and attentional network dysfunction in the DMN for ASD and ADHD populations. To better understand the shared characteristics between ASD and ADHD, this study analyzed the DMN FC in children with ASD and ADHD.Participants and Methods:Archival datasets from Autism Brain Imaging Data Exchange (ABIDE)-I and ADHD-200 datasets were used, with 33 ADHD, 35 ASD, and 32 typically developing (TD) males (ages = 7-17 years). After applying a standard pre-processing pipeline, 11 regions of interest (ROIs) from the Dosenbach-160 atlas were examined with 55 ROI pairs generated for the 100 subjects.Results:Significant differences were noted between ASD-ADHD groups in attentional networks and executive functioning networks. Specifically, significant Group x VIQ interactions were noted for FC between the following pairs of regions: medial prefrontal cortex - ventromedial prefrontal cortex, anterior cingulate cortex -ventromedial prefrontal cortex, inferior temporal lobe - ventromedial prefrontal cortex, angular -ventromedial prefrontal cortex, angular -anterior cingulate cortex, inferior temporal lobe -ventrolateral prefrontal cortex, angular -superior frontal lobe, and intraparietal sulcus -superior frontal lobe. In the above FC pairs, FC in ADHD was negatively correlated with VIQ, with no correlation for ASD and positive correlation for TD. Previous literature has indicated that ADHD individuals demonstrate increased executive functioning deficits compared to ASD individuals. This study provides evidence at a neural level for these findings by demonstrating decreased FC trends in ADHD in attentional and executive functioning networks compared to ASD individuals. Group and VIQ main effects demonstrated mixed patterns across the three groups, as well as shared decreased FC in attention/executive networks for both ASD and ADHD groups.Conclusions:In summary, this study found similar findings from previous studies regarding mixed connectivity patterns, as well as shared dysfunction between ASD and ADHD groups. These results help in solidifying the theory that ASD and ADHD share clinical and neural patterns which need to be examined further. Future directions include utilizing more ASD+ADHD comorbid individuals in studies comparing ASD and ADHD FC trends as well as seeking to further understand the neuropsychological and neuroimaging profiles in ASD and ADHD.

Localized APP expression results in progressive network dysfunction by disorganizing spike timing

Progressive cognitive decline in Alzheimer's disease could either be caused by a spreading molecular pathology or by an initially focal pathology that causes aberrant neuronal activity in a larger network. To distinguish between these possibilities, we generated a mouse model with expression of mutant human amyloid precursor protein (APP) in only hippocampal CA3 cells. We found that performance in a hippocampus-dependent memory task was impaired in young adult and aged mutant mice. In both age groups, we then recorded from the CA1 region, which receives inputs from APP-expressing CA3 cells. We observed that theta oscillation frequency in CA1 was reduced along with disrupted relative timing of principal cells. Highly localized pathology limited to the presynaptic CA3 cells is thus sufficient to cause aberrant firing patterns in postsynaptic neuronal networks, which indicates that disease progression is not only from spreading pathology but also mediated by progressively advancing physiological dysfunction.

Dysfunction of large-scale brain networks underlying cognitive impairments in shift work disorder.

It has been demonstrated that shift work can affect cognitive functions. Several neuroimaging studies have revealed altered brain function and structure for patients with shift work disorder (SWD). However, knowledge on the dysfunction of large-scale brain networks underlying cognitive impairments in shift work disorder is limited. This study aims to identify altered functional networks associated with cognitive declines in shift work disorder, and to assess their potential diagnostic value. Thirty-four patients with shift work disorder and 36 healthy controls (HCs) were recruited to perform the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and resting-state functional scans. After surface-based preprocessing, we calculated within- and between-network functional connectivity (FC) using the Dosenbach atlas. Moreover, correlation analysis was done between altered functional connectivity of large-scale brain networks and scores of cognitive assessments in patients with shift work disorder. Finally, we established a classification model to provide features for patients with shift work disorder concerning the disrupted large-scale networks. Compared with healthy controls, increased functional connectivity within-networks across the seven brain networks, and between-networks involving ventral attention network (VAN)-subcortical network (SCN), SCN-frontoparietal network (FPN), and somatosensory network (SMN)-SCN were observed in shift work disorder. Decreased functional connectivity between brain networks was found in shift work disorder compared with healthy controls, including visual network (VN)-FPN, VN-default mode network (DMN), SMN-DMN, dorsal attention network (DAN)-DMN, VAN-DMN, and FPN-DMN. Furthermore, the altered functional connectivity of large-scale brain networks was significantly correlated with scores of immediate memory, visuospatial, and delayed memory in patients with shift work disorder, respectively. Abnormal functional connectivity of large-scale brain networks may play critical roles in cognitive dysfunction in shift work disorder. Our findings provide new evidence to interpret the underlying neural mechanisms of cognitive impairments in shift work disorder.