The default network is causally linked to creative thinking.

Creative thinking represents a major evolutionary mechanism that greatly contributed to the rapid advancement of the human species. The ability to produce novel and useful ideas, or original thinking, is thought to correlate well with unexpected, synchronous activation of several large-scale, dispersed cortical networks, such as the default network (DN). Despite a vast amount of correlative evidence, a causal link between default network and creativity has yet to be demonstrated. Surgeries for resection of brain tumors that lie in proximity to speech related areas are performed while the patient is awake to map the exposed cortical surface for language functions. Such operations provide a unique opportunity to explore human behavior while disrupting a focal cortical area via focal electrical stimulation. We used a novel paradigm of individualized direct cortical stimulation to examine the association between creative thinking and the DN. Preoperative resting-state fMRI was used to map the DN in individual patients. A cortical area identified as a DN node (study) or outside the DN (controls) was stimulated while the participants performed an alternate-uses-task (AUT). This task measures divergent thinking through the number and originality of different uses provided for an everyday object. Baseline AUT performance in the operating room was positively correlated with DN integrity. Direct cortical stimulation at the DN node resulted in decreased ability to produce alternate uses, but not in the originality of uses produced. Stimulation in areas that when used as network seed regions produced a network similar to the canonical DN was associated with reduction of creative fluency. Stimulation of areas that did not produce a default-like network (controls) did not alter creative thinking. This is the first study to causally link the DN and creative thinking.

Individual structural features constrain the mouse functional connectome.

Whole brain dynamics intuitively depend upon the internal wiring of the brain; but to which extent the individual structural connectome constrains the corresponding functional connectome is unknown, even though its importance is uncontested. After acquiring structural data from individual mice, we virtualized their brain networks and simulated in silico functional MRI data. Theoretical results were validated against empirical awake functional MRI data obtained from the same mice. We demonstrate that individual structural connectomes predict the functional organization of individual brains. Using a virtual mouse brain derived from the Allen Mouse Brain Connectivity Atlas, we further show that the dominant predictors of individual structure-function relations are the asymmetry and the weights of the structural links. Model predictions were validated experimentally using tracer injections, identifying which missing connections (not measurable with diffusion MRI) are important for whole brain dynamics in the mouse. Individual variations thus define a specific structural fingerprint with direct impact upon the functional organization of individual brains, a key feature for personalized medicine.

Autism-associated Nf1 deficiency disrupts corticocortical and corticostriatal functional connectivity in human and mouse.

Children with the autosomal dominant single gene disorder, neurofibromatosis type 1 (NF1), display multiple structural and functional changes in the central nervous system, resulting in neuropsychological cognitive abnormalities. Here we assessed the pathological functional organization that may underlie the behavioral impairments in NF1 using resting-state functional connectivity MRI. Coherent spontaneous fluctuations in the fMRI signal across the entire brain were used to interrogate the pattern of functional organization of corticocortical and corticostriatal networks in both NF1 pediatric patients and mice with a heterozygous mutation in the Nf1 gene (Nf1+/-). Children with NF1 demonstrated abnormal organization of cortical association networks and altered posterior-anterior functional connectivity in the default network. Examining the contribution of the striatum revealed that corticostriatal functional connectivity was altered. NF1 children demonstrated reduced functional connectivity between striatum and the frontoparietal network and increased striatal functional connectivity with the limbic network. Awake passive mouse functional connectivity MRI in Nf1+/- mice similarly revealed reduced posterior-anterior connectivity along the cingulate cortex as well as disrupted corticostriatal connectivity. The striatum of Nf1+/- mice showed increased functional connectivity to somatomotor and frontal cortices and decreased functional connectivity to the auditory cortex. Collectively, these results demonstrate similar alterations across species, suggesting that NF1 pathogenesis is linked to striatal dysfunction and disrupted corticocortical connectivity in the default network.

The Organization of Mouse and Human Cortico-Hippocampal Networks Estimated by Intrinsic Functional Connectivity.

While the hippocampal memory system has been relatively conserved across mammals, the cerebral cortex has undergone massive expansion. A central question in brain evolution is how cortical development affected the nature of cortical inputs to the hippocampus. To address this question, we compared cortico-hippocampal connectivity using intrinsic functional connectivity MRI (fcMRI) in awake mice and humans. We found that fcMRI recapitulates anatomical connectivity, demonstrating sensory mapping within the mouse parahippocampal region. Moreover, we identified a similar topographical modality-specific organization along the longitudinal axis of the mouse hippocampus, indicating that sensory information arriving at the hippocampus is only partly integrated. Finally, comparing cortico-hippocampal connectivity across species, we discovered preferential hippocampal connectivity of sensory cortical networks in mice compared with preferential connectivity of association cortical networks in humans. Supporting this observation in humans but not in mice, sensory and association cortical networks are connected to spatially distinct subregions within the parahippocampal region. Collectively, these findings indicate that sensory cortical networks are coupled to the mouse but not the human hippocampal memory system, suggesting that the emergence of expanded and new association areas in humans resulted in the rerouting of cortical information flow and dissociation of primary sensory cortices from the hippocampus.

Mental Health Outcomes of Arab and Jewish Populations in Israel a Month after the Mass Trauma Events of October 7, 2023: A Cross-Sectional Survey of a Representative Sample.

On October 7, 2023, a war erupted in Israel following a mass terror attack including mass shootings, violent events, civilian abductions, and numerous fatalities, ranking as the third most deadliest terror attack. This cross-sectional, population-based study evaluated the impact on the mental health and utilization of mental health services in the Arab and Jewish populations. Conducted through a virtual platform, the study compared demographic factors, exposure to war-related events, anxiety, and post-traumatic stress symptoms among 517 participants in a representative sample of the adult population in Israel (79.1% Jewish, 20.9% Arab). Jews reported higher exposure to war-related events, but a majority expressed a lack of interest in mental help. In contrast, more Arabs desired mental help but faced barriers like stigma and scarce resources. Arabs showed a greater preference for group therapy and medical treatment. Trust in official bodies was consistently higher among Jews. Both populations exhibited similar levels (12-15.4%) of probable post-traumatic stress disorder (PTSD). This study equips clinicians, researchers and policymakers with real-time insights into improving mental health support for the culturally diverse needs of Jewish and Arab communities following exposure to mass trauma.

Association of ethnic concordance between patients and psychiatrists with the management of suicide attempts in the emergency department.

BACKGROUND: Suicide attempt is a psychiatric emergency that can be treated with different approaches. Understanding of patient- and physician-related determinants of psychiatric interventions may help to identify sources of bias and improve clinical care. OBJECTIVE: To evaluate the demographic predictors of psychiatric intervention in the emergency department (ED) following a suicide attempt. METHODS: We analyzed all ED visits in Rambam Health Care Campus following suicide attempts carried out by adults between 2017-2022. Two logistic regression models were built to examine whether patient and psychiatrist's demographic variables can predict 1) the clinical decision to provide a continued psychiatric intervention and 2) the setting for the psychiatric intervention (inpatient or outpatient). RESULTS: In total, 1,325 ED visits were evaluated, corresponding to 1,227 unique patients (mean age; 40.47±18.14 years, 550 men [41.51%]; 997 Jewish [75.25%] and 328 Arabs [24.75%]]), and 30 psychiatrists (9 men [30%]; 21 Jewish [70%] and 9 Arabs [30%]). Demographic variables had a limited predictive power for the decision to intervene (R²=0.0245). Yet, a significant effect of age was observed as intervention rates increased with age. In contrast, the type of intervention was strongly associated with demography (R²=0.289), with a significant interaction between patient and psychiatrist's ethnic identities. Further analysis revealed that Arab psychiatrists preferentially referred Arab patients to outpatient over inpatient treatment. CONCLUSIONS: The results indicate that while demographic variables, and specifically patient and psychiatrist's ethnicity, do not affect clinical judgement for psychiatric intervention following a suicide attempt, they do play a major role in selecting treatment setting. Further studies are required to better understand the causes underlying this observation and its association with long-term outcomes. Yet, acknowledging the existence of such bias is a first step towards better culturally mindful psychiatric interventions.

Structural and functional brain-wide alterations in A350V Iqsec2 mutant mice displaying autistic-like behavior.

IQSEC2 is an X-linked gene that is associated with autism spectrum disorder (ASD), intellectual disability, and epilepsy. IQSEC2 is a postsynaptic density protein, localized on excitatory synapses as part of the NMDA receptor complex and is suggested to play a role in AMPA receptor trafficking and mediation of long-term depression. Here, we present brain-wide structural volumetric and functional connectivity characterization in a novel mouse model with a missense mutation in the IQ domain of IQSEC2 (A350V). Using high-resolution structural and functional MRI, we show that animals with the A350V mutation display increased whole-brain volume which was further found to be specific to the cerebral cortex and hippocampus. Moreover, using a data-driven approach we identify putative alterations in structure-function relations of the frontal, auditory, and visual networks in A350V mice. Examination of these alterations revealed an increase in functional connectivity between the anterior cingulate cortex and the dorsomedial striatum. We also show that corticostriatal functional connectivity is correlated with individual variability in social behavior only in A350V mice, as assessed using the three-chamber social preference test. Our results at the systems-level bridge the impact of previously reported changes in AMPA receptor trafficking to network-level disruption and impaired social behavior. Further, the A350V mouse model recapitulates similarly reported brain-wide changes in other ASD mouse models, with substantially different cellular-level pathologies that nonetheless result in similar brain-wide alterations, suggesting that novel therapeutic approaches in ASD that result in systems-level rescue will be relevant to IQSEC2 mutations.

Individual variability in functional connectivity architecture of the mouse brain.

In recent years precision fMRI has emerged in human brain research, demonstrating characterization of individual differences in brain organization. However, mechanistic investigations to the sources of individual variability are limited in humans and thus require animal models. Here, we used resting-state fMRI in awake mice to quantify the contribution of individual variation to the functional architecture of the mouse cortex. We found that the mouse connectome is also characterized by stable individual features that support connectivity-based identification. Unlike in humans, we found that individual variation is homogeneously distributed in sensory and association networks. Finally, connectome-based predictive modeling of motor behavior in the rotarod task revealed that individual variation in functional connectivity explained behavioral variability. Collectively, these results establish the feasibility of precision fMRI in mice and lay the foundation for future mechanistic investigations of individual brain organization and pre-clinical studies of brain disorders in the context of personalized medicine.