A transdiagnostic network for psychiatric illness derived from atrophy and lesions

Taylor, Joseph J.; Lin, Christopher; Talmasov, Daniel; Ferguson, Michael; Schaper, Frédéric; Jiang, Jing; Goodkind, Madeleine S.; Grafman, Jordan; Etkin, Amit; Siddiqi, Shan; Fox, Michael

doi:10.1038/s41562-022-01501-9

Cited by 48 publications

(27 citation statements)

References 110 publications

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“…We thresholded these study-level maps at |t|>5 and combined them into one composite sensitivity map representing the voxel-wise overlap of connectivity maps across all studies (Fig. 2A), as in prior CNM studies (Taylor et al, 2023). To test for peak regions that were signi cantly consistent across all studies, we also combined the unthresholded maps into a composite t-map using a voxelwise one-sample t-test with threshold-free cluster enhancement (TFCE) to correct for multiple comparisons (Fig.…”

Section: Resultsmentioning

confidence: 99%

Heterogenous Patterns of Brain Atrophy in Schizophrenia Localize to A Common Brain Network

Makhlouf,

Drew,

Stubbs

et al. 2023

Preprint

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Understanding the neuroanatomy of schizophrenia remains elusive due to heterogenous findings across neuroimaging studies. Here, we investigated whether patterns of brain atrophy associated with schizophrenia would localize to a common brain network. Using the human connectome as a wiring diagram, we identified a connectivity pattern, a schizophrenia network, uniting heterogenous results from 90 published studies of atrophy in schizophrenia (total n>8,000). This network was specific to schizophrenia, differentiating it from atrophy in high-risk individuals (n=3038), normal aging (n=4,195), neurodegenerative disorders (n=3,707), and other psychiatric conditions (n=3,432). The network was also stable with disease progression and across different clusters of schizophrenia symptoms. Patterns of brain atrophy in schizophrenia were negatively correlated with lesions linked to psychosis-related thought processes in an independent cohort (n=181). Our results propose a unique, stable, and unified schizophrenia network, addressing a significant portion of the heterogeneity observed in prior atrophy studies.

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Section: Resultsmentioning

confidence: 99%

Heterogenous Patterns of Brain Atrophy in Schizophrenia Localize to A Common Brain Network

Makhlouf,

Drew,

Stubbs

et al. 2023

Preprint

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“…32 To expand conventional coordinate-based meta-analyses, CBNM has been used to map networks for specific psychiatric symptoms of individual psychiatric disorders and to determine common networks across several psychiatric disorders. 18,[33][34][35] Using both CBNM and ALE in our analyses of bipolar disorder may improve our understanding of this highly heterogenous disorder, as well as allow us to compare the results of CBNM and an updated gold-standard analysis (i.e. ALE).…”

Section: Discussionmentioning

confidence: 99%

Protocol for a systematic review and meta-analysis of coordinate-based network mapping of brain structure in bipolar disorder across the lifespan

Jones,

Zhukovsky,

Hawco

et al. 2023

BJPsych open

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Background Studies about brain structure in bipolar disorder have reported conflicting findings. These findings may be explained by the high degree of heterogeneity within bipolar disorder, especially if structural differences are mapped to single brain regions rather than networks. Aims We aim to complete a systematic review and meta-analysis to identify brain networks underlying structural abnormalities observed on T1-weighted magnetic resonance imaging scans in bipolar disorder across the lifespan. We also aim to explore how these brain networks are affected by sociodemographic and clinical heterogeneity in bipolar disorder. Method We will include case–control studies that focus on whole-brain analyses of structural differences between participants of any age with a standardised diagnosis of bipolar disorder and controls. The electronic databases Medline, PsycINFO and Web of Science will be searched. We will complete an activation likelihood estimation analysis and a novel coordinate-based network mapping approach to identify specific brain regions and brain circuits affected in bipolar disorder or relevant subgroups. Meta-regressions will examine the effect of sociodemographic and clinical variables on identified brain circuits. Conclusions Findings from this systematic review and meta-analysis will enhance understanding of the pathophysiology of bipolar disorder. The results will identify brain circuitry implicated in bipolar disorder, and how they may relate to relevant sociodemographic and clinical variables across the lifespan.

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“…In line with previous characterizations of the insula the region was associated with pain, interoceptive and salience processes (Ferraro, Klugah-Brown, Tench, Bazinet, et al, 2022; Ferraro, Klugah-Brown, Tench, Yao, et al, 2022; Uddin, 2015; F. Zhou et al, 2020). Decreased gray matter volume of the insula has been reported across a number of neurological and mental disorders, including migraine or mood disorders, and may represent a transdiagnostic markers for increased emotional distress (Goodkind et al, 2015; Taylor et al, 2023; Wise et al, 2017; X. Zhang et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

“…Zhou et al, 2020). Decreased gray matter volume of the insula has been reported across a number of neurological and mental disorders, including migraine or mood disorders, and may represent a transdiagnostic markers for increased emotional distress (Goodkind et al, 2015;Taylor et al, 2023;Wise et al, 2017;X. Zhang et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

The neurostructural consequences of glaucoma and their overlap with disorders exhibiting emotional dysregulations: a voxel-based meta-analysis and tripartite system model

Klugah-Brown,

Bore,

Liu

et al. 2023

Preprint

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Glaucoma is a neurodegenerative disorder characterized by progressive optic nerve damage and the most common cause for irreversible blindness. Emotional dysregulations are common in glaucoma patients, with high rates of generalized anxiety and depression. Glaucoma leads to pathological changes in the visual pathways of the brain, yet accumulating evidence suggests that the brain changes may reach beyond the visual system. To robustly determine brain morphological alterations in glaucoma and determine a potential overlap with changes observed in anxiety and depression we performed a pre-registered comparative meta-analysis of case control studies examining brain structural integrity in patients with glaucoma, and further determined whether the identified regions are nodes of distinct overarching large-scale networks and overlap with meta-analytic brain structural maps of generalized anxiety disorder (GAD) and major depressive disorder (MDD). Glaucoma patients exhibited robust reductions in gray matter volume in regions contributing to visual processing (lingual gyrus, thalamus), but volumetric reductions extended beyond systems involved in visual processing and also affected the left putamen and insula. Behavioral and functional network level decoding demonstrated distinct large-scale networks and involvement in visual, motivational or affective domains, respectively. Reductions in the insular region involved in pain and affective processes overlapped with alterations previously observed in GAD. Our findings may suggest a tripartite brain model of glaucoma, with changes in visual processing regions such as the lingual gyrus as well as additional alterations in putamen and insular regions meta-analytically associated with motivational or emotional functions, respectively. Together the findings indicate broad neuroanatomical alterations in glaucoma that extend beyond the visual system and may gate further pathological developments. Keywords: Glaucoma, Depression, Anxiety, Brain structure, Vision, Insula

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A transdiagnostic network for psychiatric illness derived from atrophy and lesions

Cited by 48 publications

References 110 publications

Heterogenous Patterns of Brain Atrophy in Schizophrenia Localize to A Common Brain Network

Heterogenous Patterns of Brain Atrophy in Schizophrenia Localize to A Common Brain Network

Protocol for a systematic review and meta-analysis of coordinate-based network mapping of brain structure in bipolar disorder across the lifespan

The neurostructural consequences of glaucoma and their overlap with disorders exhibiting emotional dysregulations: a voxel-based meta-analysis and tripartite system model

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