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PubMed2026

Schizophrenia and bipolar disorder: a comparative analysis of genetic and brain network connectivity.

BACKGROUND: Schizophrenia (SCZ) and bipolar disorder (BD) are severe psychiatric conditions with overlapping clinical presentations, genetic risk factors, and brain network dysfunction. Whether alterations in large-scale intrinsic brain networks reflect shared or disorder-specific genetic influences remains poorly understood. Clarifying this distinction is essential for refining etiological models and improving diagnostic precision. METHODS: Genome-wide inferred statistics (GWIS) were applied to decompose the genetic architecture of SCZ and BD into shared and unique components. Using resting-state network (RSN) data from the UK Biobank, functional connectivity (FC) and structural connectivity (SC) were extracted as neuroimaging phenotypes. Causal inference approaches were subsequently employed to infer potential directional relationships between brain network connectivity and each disorder. RESULTS: Analyses revealed both common and distinct patterns of brain network connectivity associated with SCZ and BD. Notably, SC within the default mode network (DMN) exhibited opposing effects across the two disorders, suggesting divergent structural underpinnings despite clinical overlap. Additionally, SC within the limbic network (LN) and frontotemporal control network demonstrated potential causal relationships with both conditions, implicating these circuits astransdiagnostic neural substrates. CONCLUSION: These findings illuminate the shared and disorder-specific genetic and neural architecture underlying SCZ and BD. Integrating genome-wide genetic methods with large-scale neuroimaging data offers a powerful framework for disentangling psychiatric comorbidity and may inform more targeted diagnostic criteria and individualized treatment strategies.

Humans↗

PubMed2026

Altered EEG microstate dynamics reflect depressive symptoms in temporal lobe epilepsy.

BACKGROUND: Depressive symptoms are a common and disabling comorbidity in temporal lobe epilepsy (TLE), yet the neural mechanisms linking seizure networks to affective symptoms remain unclear. Although limbic network dysfunction has been implicated in both epilepsy and depressive disorders, it is unknown whether the time-varying dynamics of large-scale electrophysiological brain states reflect depressive symptom severity in TLE. In this study, we examined whether EEG microstate dynamics capture network alterations associated with depressive symptoms in individuals with unilateral TLE. METHODS: We analyzed resting-state, visually normal scalp EEG from 26 individuals with unilateral TLE. EEG microstates were identified by clustering global field power peaks into four canonical classes, with electrode positions mirrored to align the ictal hemisphere across subjects. Microstate dwell time, fractional occupancy, global transition entropy, and Markov transition probabilities were quantified and related to Beck Depression Inventory-II (BDI) scores. RESULTS: Individuals with high depressive symptoms (BDI ≥ 13; N = 12) exhibited longer mean dwell time in the ictal hemisphere-aligned microstate compared with individuals with low depressive symptom burden (BDI < 13; N = 14). Across subjects, dwell time in this microstate correlated with depressive symptom severity (r = 0.57, p = 0.002). TLE individuals with higher depressive symptoms exhibited reduced global transition entropy (p = 0.02), which also correlated with depressive symptom severity (r = -0.54, p = 0.004), indicating decreased flexibility of microstate transitions. Despite similar fractional occupancy of this state between groups, individuals with higher depressive symptoms were less likely to transition into the ictal hemisphere-aligned microstate from non-ictal or posterior configurations. Once engaged, however, the ictal-aligned microstate showed increased persistence, indicating prolonged stabilization of this network configuration. CONCLUSION: Higher depressive symptom burden in unilateral TLE is associated with increased temporal rigidity of the ictal hemisphere-aligned brain microstate, reflecting impaired disengagement of epileptogenic network configurations. These findings suggest that depressive symptoms in TLE may be associated with epilepsy-related disruptions in large-scale neural dynamics.

Humans↗

PubMed2026

Is impulsivity simply a failure of self-control? Evidence based on multi-omics analyses of genomics, metabolomics and brain imaging.

High impulsivity-a hallmark of various adverse life outcomes such as substance abuse, impulsive buying, violence, and crime-has typically been considered as a failure of self-control. However, is impulsivity simply a failure of self-control? To address this issue, we employed multi-omics combined with brain imaging approach in a large-scale sample (Nbrain imaging=1524, Ngenomics=835, Nmetabolomics=946) to elucidate the relationship between impulsivity and self-control. Mendelian randomization showed a bidirectional association between impulsivity and self-control, suggesting that they influenced each other. Partial least squares analysis highlighted that self-control primarily implicates the frontal lobe regions (e.g., superior frontal gyrus), whereas impulsivity involves the amygdala, insula, and basal ganglia. The cerebellum, superior frontal gyrus, and middle frontal gyrus were identified as shared areas in impulsivity and self-control. Furthermore, gene-based association analysis identified heterochromatin protein 1 binding protein 3 as specifically related to impulsivity, while pathway enrichment analysis demonstrated that arginine and proline metabolism was a common metabolic pathway associated with both impulsivity and self-control. Overall findings demonstrate that impulsivity and self-control involve both shared and distinct brain regions, genetic and metabolic foundations. The brain imaging results suggest that impulsivity is related not only to self-control-related processes but also to the motivation to pursue rewards. Together, this large-scale integrative study firstly provides a side-by-side map of genomic, metabolic, and limbic-network signatures of impulsivity distinct from self-control, offering a foundation for mechanism-driven biomarker and intervention research in maladaptive impulsivity.

Impulsive Behavior↗

PubMed1977

Immunohistochemical studies on the localization and distribution of monoamine neuron systems in the rat brain II. Tyrosine hydroxylase in the telencephalon.

Extensive plexuses of TH-positive nerve terminals were found in many parts of the telencephalon, mainly confined to the subcortical and limbic cortical structures. Of special interest were the distinct networks of varying densities in the amygdaloid cortex, the entorhinal cortex, the prepiriform cortex, the anterior cingulate cortex and the (pre-)frontal cortex. Their distribution is identical with the patterns observed in recent studies on cortical dopamine nerve terminals using certain modifications of the Falck-Hillarp technique. The extremely dense TH innervations patterns of the caudate nucleus, nucleus accumbens, tuberculum olfactorium and the less dense basket-like innervation of the lateral septal nuclei could also be demonstrated. TH-positive cell bodies in a periglomerular position could be observed in the olfactory bulb. A few TH-positive cell bodies were observed in the area around the anterior commissure and in the cingulate cortex. In one area, the hippocampal formation, TH-positive dotlike structures were located in the position of the mossy fibres. In all probability they do not belong to monoamine neurons but may contain a cross-reacting protein. In general, the distribution and density of TH-positive terminals agrees well with extensive regional, biochemical studies on TH activity performed by other groups. Minor discrepancies are discussed. As stated in a parallel study on the distribution of TH in the mes- and diencephalon these findings indicate that TH activity is closely related to the amount of enzyme protein. The TH enzyme levels seem to be much higher in the DA than in the NA nerve terminals of the forebrain which would explain the preferential demonstration of DA terminals in the forebrain using TH antiserum and the high and low TH enzyme activity in DA and NA rich regions, respectively.

Animals↗

PubMed1978

The luteinizing hormone-releasing hormone (LH-RH) neuronal networks of the guinea pig brain. I. Intra- and extra-hypothalamic projections.

In the guinea pig brain, LH-RH-containing cell bodies are located not only within the classical hypophysiotrophic area but also in the medial preoptic area, septum and olfactory tubercle. LH-RH fiber tracts project not only to the primary portal plexus in the median eminence but also throughout the limbic forebrain and limbic midbrain regions. Using radiofrequency lesions in different brain regions, the projections of LH-RH cell bodies were determined. Cells in the medial preoptic area project ot the organum vasculosum of the lamina terminalis (OVLT), the suprachiasmatic nucleus, the mammillary body complex and the ventral tegmental area. LH-RH neurons in both the medial septal nucleus and medial preoptic area project via the stria medullaris to the medial habenular nucleus and from there via the fasciculus retroflexus to the interpeduncular nucleus of the midbrain. Other LH-RH neurons in the medial septal nucleus, nucleus of the diagonal band of Broca and olfactory tubercle are congregated in small clusters around large blood vessels which penetrate into this area, and they do not appear to send axons outside their immediate vicinity. The types of LH-RH axonal terminations and the roles of these peptide-containing neurons are discussed.

Animals↗