Igor Nenadic’s research while affiliated with Justus-Liebig-Universität Gießen and other places

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Publications (460)


Author Correction: Brain structural associations of syntactic complexity and diversity across schizophrenia spectrum and major depressive disorders, and healthy controls
  • Article

November 2024

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13 Reads

Schizophrenia

Katharina Schneider

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Frederike Stein

Transdiagnostic alterations in white matter microstructure associated with suicidal thoughts and behaviours in the ENIGMA Suicidal Thoughts and Behaviours consortium
  • Preprint
  • File available

November 2024

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127 Reads

Previous studies have suggested that alterations in white matter (WM) microstructure are implicated in suicidal thoughts and behaviours (STBs). However, findings of diffusion tensor imaging (DTI) studies have been inconsistent. In this large-scale mega-analysis conducted by the ENIGMA Suicidal Thoughts and Behaviours (ENIGMA-STB) consortium, we examined WM alterations associated with STBs. Data processing was standardised across sites, and resulting WM microstructure measures (fractional anisotropy, axial diffusivity, mean diffusivity and radial diffusivity) for 25 WM tracts were pooled across 40 cohorts. We compared these measures among individuals with a psychiatric diagnosis and lifetime history of suicide attempt (n=652; mean age=35.4, sd=14.7; female=71.8%), individuals with a psychiatric diagnosis but no STB (i.e., clinical controls; n=1871; mean age=34, sd=14.8; female=59.8%), and individuals with no mental disorder diagnosis and no STB (i.e., healthy controls; n=642; mean age=29.6, sd=13.1; female=62.9%). We also compared these measures among individuals with recent suicidal ideation (n=714; mean age=36.3, sd=15.3; female=66.1%), clinical controls (n=1184; mean age=36.8, sd=15.6; female=63.1%), and healthy controls (n=1240; mean age= 31.6, sd=15.5; female=61.0%). We found subtle but statistically significant effects, such as lower fractional anisotropy associated with a history of suicide attempt, over and above the effect of psychiatric diagnoses. These effects were strongest in the corona radiata, thalamic radiation, fornix/stria terminalis, corpus callosum and superior longitudinal fasciculus. Effect sizes were small (Cohens d < 0.25). Recent suicidal ideation was not associated with alterations in WM microstructure. This large-scale coordinated mega-analysis revealed subtle regional and global alterations in WM microstructure in individuals with a history of suicide attempt. Longitudinal studies are needed to confirm whether these alterations are a risk factor for suicidal behaviour.

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Results of the mega-analysis of the association between BD and obesity with FA
A Standardized coefficients for group differences (orange) and BMI effects (blue) in predicting the FA of each white matter ROI. Significant effects are shown using a filled marker (FDR-adjusted p < 0.05). B Glass brains depicting the location of the individual and combined (coded green) effects of BD and BMI.
Statistical effect of BMI on FA and BMI distribution
A Linearity of the BMI effect on FA in body of the corpus callosum, and B histogram of BMI distributions for patients and controls.
The effect of medication classes and BMI on fractional anisotropy
A The body of the corpus callosum. Path (c) represents the direct effect, while (a) through (b) represent the indirect path through BMI, and (c’) represents the adjusted direct effect after accounting for BMI. We show standardized coefficients along with their 95% CI derived from bootstrapping. Significant effects (95% CI that excludes zero) are marked by asterisks. In all models, we controlled for the covariates age, sex, lithium treatment, and research site. B Glass brains showing the locations of the three white matter tracts where BMI significantly partially mediated the effect of number of medications on FA, shown in the right sagittal, anterior coronal, and superior axial orientations.
Interaction between BMI and prescription of lithium at the time of scanning in white matter tracts
A Sagittal stratum (SS); B Posterior thalamic radiation (PTR); C Glass brains showing the white matter tracts which have a lithium by BMI interaction.
White matter microstructure in obesity and bipolar disorders: an ENIGMA bipolar disorder working group study in 2186 individuals

November 2024

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85 Reads

Molecular Psychiatry

Although specific risk factors for brain alterations in bipolar disorders (BD) are currently unknown, obesity impacts the brain and is highly prevalent in BD. Gray matter correlates of obesity in BD have been well documented, but we know much less about brain white matter abnormalities in people who have both obesity and BD. We obtained body mass index (BMI) and diffusion tensor imaging derived fractional anisotropy (FA) from 22 white matter tracts in 899 individuals with BD, and 1287 control individuals from 20 cohorts in the ENIGMA-BD working group. In a mega-analysis, we investigated the associations between BMI, diagnosis or medication and FA. Lower FA was associated with both BD and BMI in six white matter tracts, including the corpus callosum and thalamic radiation. Higher BMI or BD were uniquely associated with lower FA in three and six white matter tracts, respectively. People not receiving lithium treatment had a greater negative association between FA and BMI than people treated with lithium in the posterior thalamic radiation and sagittal stratum. In three tracts BMI accounted for 10.5 to 17% of the negative association between the number of medication classes other than lithium and FA. Both overweight/obesity and BD demonstrated lower FA in some of the same regions. People prescribed lithium had a weaker association between BMI and FA than people not on lithium. In contrast, greater weight contributed to the negative associations between medications and FA. Obesity may add to brain alterations in BD and may play a role in effects of medications on the brain.


Fig. 2 Association of white matter fractional anisotropy and axial diffusivity with syntactic complexity. Clusters are shown at p TFCE < 0.05, family-wise-error corrected.
Brain structural associations of syntactic complexity and diversity across schizophrenia spectrum and major depressive disorders, and healthy controls

November 2024

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50 Reads

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1 Citation

Schizophrenia

Deviations in syntax production have been well documented in schizophrenia spectrum disorders (SSD). Recently, we have shown evidence for transdiagnostic subtypes of syntactic complexity and diversity. However, there is a lack of studies exploring brain structural correlates of syntax across diagnoses. We assessed syntactic complexity and diversity of oral language production using four Thematic Apperception Test pictures in a sample of N = 87 subjects (n = 24 major depressive disorder (MDD), n = 30 SSD patients both diagnosed according to DSM-IV-TR, and n = 33 healthy controls (HC)). General linear models were used to investigate the association of syntax with gray matter volume (GMV), fractional anisotropy (FA), axial (AD), radial (RD), and mean diffusivity (MD). Age, sex, total intracranial volume, group, interaction of group and syntax were covariates of no interest. Syntactic diversity was positively correlated with the GMV of the right medial pre-and postcentral gyri and with the FA of the left superior-longitudinal fasciculus (temporal part). Conversely, the AD of the left cingulum bundle and the forceps minor were negatively correlated with syntactic diversity. The AD of the right inferior-longitudinal fasciculus was positively correlated with syntactic complexity. Negative associations were observed between syntactic complexity and the FA of the left cingulum bundle, the right superior-longitudinal fasciculus, and the AD of the forceps minor and the left uncinate fasciculus. Our study showed brain structural correlates of syntactic complexity and diversity across diagnoses and HC. This contributes to a comprehensive understanding of the interplay between linguistic and neural substrates in syntax production in psychiatric disorders and HC.



Contribution of Rare and Potentially Functionally Relevant Sequence Variants in Schizophrenia Risk-Locus Xq28,distal

October 2024

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25 Reads

American Journal of Medical Genetics Part B Neuropsychiatric Genetics

Duplications of the Xq28,distal locus have been described in male and female patients with schizophrenia (SCZ) or intellectual disability. The Xq28,distal locus spans eight protein‐coding genes ( F8 , CMC4 , MTCP1 , BRCC3 , VBP1 , FUNDC2 , CLIC2 , and RAB39B ) and is flanked by recurrent genomic breakpoints. Thus, the issue of which gene/s at this locus is/are relevant in terms of SCZ pathogenesis remains unclear. The aim of this study was to investigate the contribution of rare and potentially functionally relevant sequence variants within the Xq28,distal locus to SCZ risk using the single‐molecule molecular inversion probes (smMIP) method. Targeted sequencing was performed in a cohort of 1935 patients with SCZ and 1905 controls of European ancestry. The consecutive statistical analysis addressed two main areas. On the level of the individual variants, allele counts in the patient and control cohort were systematically compared with a Fisher's exact test: (i) for the entire present study cohort; (ii) for patients and controls separated by sex; and (iii) in combination with data published by the Schizophrenia Exome Meta‐Analysis (SCHEMA) consortium. On the gene‐wise level, a burden analysis was performed using the X‐chromosomal model of the Optimal Unified Sequence Kernel Association Test (SKAT‐O), with adjustment for possible sex‐specific effects. Targeted sequencing identified a total of 13 rare and potentially functional variants in four patients and 11 controls. However, neither at the level of individual rare and potentially functional variants nor at the level of the eight protein‐coding genes at the Xq28,distal locus was a statistically significant enrichment in patients compared to controls observed. Although inconclusive, the present findings represent a step toward improved understanding of the contribution of X‐chromosomal risk factors in neuropsychiatric disorder development, which is an underrepresented aspect of genetic studies in this field.


Sample Demographics by Cohort
Percentage Surface Area Affected Across Models SZ-F vs CON-F SZ-M vs CON-M M vs. F SZ-M vs SZ-F* CON-M vs CON-F
Percentage Surface Area Affected Across Clinical Correlates
Sex differences in deep brain shape and asymmetry persist across schizophrenia and healthy individuals: A meta-analysis from the ENIGMA-Schizophrenia Working Group

October 2024

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80 Reads

Background: Schizophrenia (SCZ) is characterized by a disconnect from reality that manifests as various clinical and cognitive symptoms, and persistent neurobiological abnormalities. Sex-related differences in clinical presentation imply separate brain substrates. The present study characterized deep brain morphology using shape features to understand the independent effects of diagnosis and sex on the brain, and to determine whether the neurobiology of schizophrenia varies as a function of sex. Methods: This study analyzed multi-site archival data from 1,871 male (M) and 955 female (F) participants with SCZ, and 2,158 male and 1,877 female healthy controls (CON) from twenty-three cross-sectional samples from the ENIGMA Schizophrenia Workgroup. Harmonized shape analysis protocols were applied to each site's data for seven deep brain regions obtained from T1-weighted structural MRI scans. Effect sizes were calculated for the following main contrasts: 1) Sex effects; 2) Diagnosis-by-Sex interaction; 3) within sex tests of diagnosis; 4) within diagnosis tests of sex differences. Meta-regression models between brain structure and clinical variables were also computed separately in men and women with schizophrenia. Results: Mass univariate meta-analyses revealed more concave-than-convex shape differences in all regions for women relative to men, across diagnostic groups (d = -0.35 to 0.20, SE = 0.02 to 0.07); there were no significant diagnosis-by-sex interaction effects. Within men and women separately, we identified more-concave-than-convex shape differences for the hippocampus, amygdala, accumbens, and thalamus, with more-convex-than-concave differences in the putamen and pallidum in SCZ (d = -0.30 to 0.30, SE = 0.03 to 0.10). Within CON and SZ separately, we found more-concave-than-convex shape differences in the thalamus, pallidum, putamen, and amygdala among females compared to males, with mixed findings in the hippocampus and caudate (d = -0.30 to 0.20, SE = 0.03 to 0.09). Meta-regression models revealed similarly small, but significant relationships, with medication and positive symptoms in both SCZ-M and SCZ-F. Conclusions: Sex-specific variation is an overriding feature of deep brain shape regardless of disease status, underscoring persistent patterns of sex differences observed both within and across diagnostic categories, and highlighting the importance of including it as a critical variable in studies of neurobiology. Future work should continue to explore these dimensions independently to determine whether these patterns of brain morphology extend to other aspects of neurobiology in schizophrenia, potentially uncovering broader implications for diagnosis and treatment.


Correlation of cortical surface complexity (calculated using CAT12 software) and AQ total score (A; significant negative correlation, maximum intensity voxel at co-ordinates x/y/z: -51/-49/+5; p = 0.009); AQ Attention Switching subscore (B; significant negative correlation, maximum intensity voxel at co-ordinates x/y/z: -53/-51/+4); p = 0.013; and AQ communication (C; significant positive correlation, maximum intensity voxel at co-ordinates x/y/z: +6/-5/+42; p = 0.043) resp.; images are thresholded at p < 0.001 uncorrected
Significant clusters in the resting state seed to voxel analysis with right and left STSvp as seeds. (A) AQ Total (negative correlation, maximum intensity voxel at co-ordinates x/y/z: -38/-60/+44; p = 0.023), (B) AQ Attention Switching (positive correlation, maximum intensity voxel at co-ordinates x/y/z: -50/+28/+20; p = 0.009) (C) AQ Attention to Detail (negative correlation, maximum intensity cluster at co-ordinates x/y/z: -36/-60/+42; p = 0.029) (D) AQ Communication (negative correlation, maximum intensity cluster at co-ordinates x/y/z: +4/-80/+32; p = 0.018)
Superior temporal sulcus folding, functional network connectivity, and autistic-like traits in a non-clinical population

October 2024

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34 Reads

Molecular Autism

Background Autistic-like traits (ALT) are prevalent across the general population and might be linked to some facets of a broader autism spectrum disorder (ASD) phenotype. Recent studies suggest an association of these traits with both genetic and brain structural markers in non-autistic individuals, showing similar spatial location of findings observed in ASD and thus suggesting a potential neurobiological continuum. Methods In this study, we first tested an association of ALTs (assessed with the AQ questionnaire) with cortical complexity, a cortical surface marker of early neurodevelopment, and then the association with disrupted functional connectivity. We analysed structural T1-weighted and resting-state functional MRI scans in 250 psychiatrically healthy individuals without a history of early developmental disorders, in a first step using the CAT12 toolbox for cortical complexity analysis and in a second step we used regional cortical complexity findings to apply the CONN toolbox for seed-based functional connectivity analysis. Results Our findings show a significant negative correlation of both AQ total and AQ attention switching subscores with left superior temporal sulcus (STS) cortical folding complexity, with the former being significantly correlated with STS to left lateral occipital cortex connectivity, while the latter showed significant positive correlation of STS to left inferior/middle frontal gyrus connectivity (n = 233; all p < 0.05, FWE cluster-level corrected). Additional analyses also revealed a significant correlation of AQ attention to detail subscores with STS to left lateral occipital cortex connectivity. Limitations Phenotyping might affect association results (e.g. choice of inventories); in addition, our study was limited to subclinical expressions of autistic-like traits. Conclusions Our findings provide further evidence for biological correlates of ALT even in the absence of clinical ASD, while establishing a link between structural variation of early developmental origin and functional connectivity.




Citations (48)


... In particular, if we capture lifetime symptoms (Murray et al., 2005;Serretti et al., 2001) or extended psychopathology (Guillem et al., 2005) , a distinct disorganization dimension unrelated to the severity of depression becomes apparent (Serretti et al., 2001;Shevlin et al., 2017;Tonna et al., 2019) . FTD in schizophrenia occurs in euthymic mood, whereas, in depression it is likely to be less prominent, but not fully resolved in the euthymic state (Marengo and Harrow, 1985;Schneider et al., 2024;Stein et al., 2022Stein et al., , 2021Stein et al., , 2020 . Thus depression and disorganised thinking are best considered as distinct dimensions that may periodically overlap during recurrent episodes. ...

Reference:

Disorganised when depressed: A review of formal thought disorder in depression
Brain structural associations of syntactic complexity and diversity across schizophrenia spectrum and major depressive disorders, and healthy controls

Schizophrenia

... Neuroanatomical deficits in the ventral pathways and PFC may induce disintegration of the occipito-temporofrontal circuitry and dysfunction, which may underlie the disturbances of visuospatial WM in schizophrenia (68). In addition, these results are consistent with brain atrophy trajectories in schizophrenia revealed by recent studies using novel data-driven approaches (such as disease progression modeling and epicenter mapping) (69)(70)(71). We also discovered that a decreased ALFFs in left IOG had a negative effect on the WMS-III score of the MCCB in schizophrenia ( Figure 3D), and the right IOG, MOG, which was positively associated with positive sub-scores of the PANSS (Figures 3E,F). ...

Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm

... However, clinical laterality research is facing a major methodological issue: a strong variability in the definition and classification of mixed-handedness. More precisely, currently, there are no clear criteria for how mixed-handedness is defined and there are several different laterality index based cutoffs used in the literature such as -40 to +40 (Arning et al., 2015;Mundorf et al., 2023), -50 to +50 (Orlando et al., 2023), −60 to +60 (Mundorf et al., 2024;Thomas et al., 2023;Veale, 2014), −70 to +70 (Deep-Soboslay et al., 2010), −80 to +80 (Cheng et al., 2020;Christman et al., 2007) and −99 to +99 (Cannon et al., 1995) hindering the comparison and reproducibility of results. Of note, the −80 to +80 cut-off suggested by Christman et al. (2007) is based on a simple median split on absolute values of EHI scores. ...

Handedness in schizophrenia and affective disorders: a large-scale cross-disorder study

European Archives of Psychiatry and Clinical Neuroscience

... As for the absent rsFC findings in SP, it is plausible that this patient cohort has milder impairment, aligning more with the HC phenotype than PD/AG patients do, leading to differing results when compared to PD/AG. Subtle brain morphologic differences have however recently been described in an ENIGMA metaanalysis in SP [51]. ...

Cortical and Subcortical Brain Alterations in Specific Phobia and Its Animal and Blood-Injection-Injury Subtypes: A Mega-Analysis From the ENIGMA Anxiety Working Group
  • Citing Article
  • June 2024

American Journal of Psychiatry

... As described before, this effect is not distinguishable from an MDD effect associated with GMV due to substantial co-occurrence between CM and MDD diagnosis. Notably, the localized clusters seemingly associated with CM in this analysis when not controlling for MDD largely overlap with clusters that were identified to be associated with a lifetime MDD diagnosis in a systematic case-control study using the same cohorts (Dannlowski et al., 2024). ...

Replicability and Generalizability of Gray Matter Reductions in Major Depression: A Voxel-Based Investigation of 4021 Individuals
  • Citing Preprint
  • January 2024

... The somatic symptoms of psychosomatic symptoms discussed in this paper, i.e., the clinical phenomenon caused by psychological factors, also known as psychophysiological disorder, is a complex and multi-dimensional medical phenomenon. It involves the interaction between psychological factors and physiological responses, and is manifested in various forms, which may have serious effects on the quality of life, and physical and mental health of patients [7] . In recent years, with the increasing stress of modern society and lifestyle changes, the research in this field has gradually received wide attention, and the deep understanding of the interrelationship between mental health and physical health has increased. ...

Factor analysis of lifetime psychopathology and its brain morphometric and genetic correlates in a transdiagnostic sample

Translational Psychiatry

... Another common symptom associated with schizophrenia is formal thought disorder [40,41]. It refers to a disruption in the logical and coherent flow of a person's thoughts and speech. ...

Differences in the neural correlates of schizophrenia with positive and negative formal thought disorder in patients with schizophrenia in the ENIGMA dataset

Molecular Psychiatry

... Furthermore, such processes must be considered in the context of the interplay between nondigital demographic, social risk, and protective factors -and biological and psychological traits linked to genetic factors (e.g. following a stress-diathesis process) -which are known from prior research to work together to create mental health vulnerability [38][39][40]. The core elements are described below and set out in Figure 1. ...

Neural foundation of the diathesis-stress model: longitudinal gray matter volume changes in response to stressful life events in major depressive disorder and healthy controls

Molecular Psychiatry

... Further discussion on the mutual relationship between SLEs, coping strategies, and depression remains urgently needed. Moreover, other factors related to personality traits and community networks, such as social support and utilization, physical activity, personal competence, and acceptance, are considered potential protective factors against depression (Choi et al., 2022;Ferber et al., 2022;Lu et al., 2023;Iovoli et al., 2024). The diathesis-stress theory of depression is illustrated in Figure 1. ...

Exploring the complex interrelation between depressive symptoms, risk, and protective factors: A comprehensive network approach
  • Citing Article
  • March 2024

Journal of Affective Disorders

... A small study of female adults with BPD versus healthy controls used rs-fMRI to investigate amygdala functional connectivity, as well as inter-and intra-network functional connectivity of the DMN, salience, and frontoparietal networks [47]. Key findings included reduced functional connectivity of the amygdala and superior occipital cortex in BPD (vs. ...

Amygdala functional connectivity in borderline personality disorder
  • Citing Article
  • March 2024