A systematic review and meta-analysis of structural and functional brain alterations in individuals with genetic and clinical high-risk for psychosis and bipolar disorder

Luna, Licia P.; Raduà, Joaquim; Fortea, Lydia; Sugranyes, Gisela; Fortea, Adriana; Fusar‐Poli, Paolo; Smith, Lee P.; Firth, Joseph; Shin, Jae Il; Brunoni, André R.; Husain, Muhammad Ishrat; Husian, Muhammad O; Sair, Haris I.; Mendes, Walber O; Uchoa, Luiz Ricardo A; Berk, Michael; Maes, Michaël; Daskalakis, Zafiris J.; Frangou, Sophia; Fornaro, Michele; Vieta, Eduard; Stubbs, Brendon; Solmi, Marco; Carvalho, André F.

doi:10.1016/j.pnpbp.2022.110540

Cited by 36 publications

(27 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The current study extends our understanding of the role of brain morphometry for psychosis by showing that regional neuroanatomical variation in CHR-P individuals is nested within normative variation. A small minority of CHR-PC patients had pronounced decrements in the cortical thickness and surface area of temporal regions reinforcing the relevance of these regions for psychosis risk [7][8][9] and syndromal schizophrenia. 11,12,23 Regional deviation from normative patterns in the CHR-P individuals did not show meaningful associations with the severity of positive symptoms.…”

Section: Discussionmentioning

confidence: 77%

“…6 Multiple magnetic resonance imaging (MRI) studies have focused on identifying neuroanatomical alterations in CHR-P compared to healthy individuals (HI). Two metaanalyses of these studies have highlighted cortical thickness (CT) reductions of small effect size in the frontotemporal regions of CHR individuals 7,8 while a mega-analysis of brain morphometric data from 1792 CHR-P and 1377 HI from the CHR-P Working Group of the Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) Consortium found that such CT reductions were widespread (Cohen d range of -0.17 to -0.09). 9 Recently psychiatric neuroimaging has turned to normative modeling, which quantifies individual-level deviation in brain-derived phenotypes relative to a normative reference population.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Normative modeling of brain morphometry in Clinical High-Risk for Psychosis

Haas

Agartz

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Importance: The lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in the majority of individuals at psychosis risk may be nested within the range observed in healthy individuals. Objective: To quantify deviations from the normative range of neuroanatomical variation in individuals at clinical high-risk for psychosis (CHR-P) and evaluate their overlap with healthy variation and their association with positive symptoms, cognition, and conversion to a psychotic disorder. Design, Setting, and Participants: Clinical, IQ and FreeSurfer-derived regional measures of cortical thickness (CT), cortical surface area (SA), and subcortical volume (SV) from 1,340 CHR-P individuals [47.09% female; mean age: 20.75 (4.74) years] and 1,237 healthy individuals [44.70% female; mean age: 22.32 (4.95) years] from 29 international sites participating in the ENIGMA Clinical High Risk for Psychosis Working Group. Main Outcomes and Measures: For each regional morphometric measure, z-scores were computed that index the degree of deviation from the normative means of that measure in a healthy reference population (N=37,407). Average deviation scores (ADS) for CT, SA, SV, and globally across all measures (G) were generated by averaging the respective regional z-scores. Regression analyses were used to quantify the association of deviation scores with clinical severity and cognition and two-proportion z-tests to identify case-control differences in the proportion of individuals with infranormal (z<-1.96) or supranormal (z>1.96) scores. Results: CHR-P and healthy individuals overlapped in the distributions of the observed values, regional z-scores, and all ADS vales. The proportion of CHR-P individuals with infranormal or supranormal values in any metric was low (<12%) and similar to that of healthy individuals. CHR-P individuals who converted to psychosis compared to those who did not convert had a higher percentage of infranormal values in temporal regions (5-7% vs 0.9-1.4%). In the CHR-P group, only the ADSSA showed significant but weak associations (|β|<0.09; PFDR<0.05) with positive symptoms and IQ. Conclusions and Relevance: The study findings challenge the usefulness of macroscale neuromorphometric measures as diagnostic biomarkers of psychosis risk and suggest that such measures do not provide an adequate explanation for psychosis risk.

show abstract

Section: Discussionmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Normative modeling of brain morphometry in Clinical High-Risk for Psychosis

Haas

Agartz

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Given the directionality of gray matter alteration, we hypothesize that this bicluster may be identifying individuals with similar cortical measures (e.g., smaller brain volumes overall) and not necessarily unique clinical presentations. In addition, one component showed lower gray matter concentration in the rectus gyrus, which has been associated with genetic risk for SZ, BP, and psychosis (Luna et al, 2022). It is possible that this bicluster is mapping onto a genetic profile instead of a clinical profile.…”

Section: Discussionmentioning

confidence: 98%

“…Recently, the rectus has been shown to be associated with individuals with high genetic risk for either SZ, BP, or psychosis (Luna et al, 2022). As mentioned in the previous section, component C (part of this bicluster) has also been studied extensively in the schizophrenia spectrum literature (Takahashi et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Clinical and Cortical Similarities Identified Between Bipolar Disorder I and Schizophrenia: A Multivariate Approach

Rootes-Murdy

Edmond

Jiang

et al. 2023

Biological Psychiatry

View full text Add to dashboard Cite

“…VBM analysis can evaluate reproducibly the decreased brain area through volume and signal intensity on MRI. In human medicine, this technique has been used to characterize subtle changes in Alzheimer's disease ( 5 ), Parkinson's disease ( 6 ), epilepsy ( 7 ), and psychological disorders ( 8 ). Aging studies using VBM analysis have been reported in some animal models such as mice ( 9 ), rats ( 10 ), dogs ( 11 ), rhesus macaques ( 12 ), and chimpanzees ( 13 ).…”

Section: Introductionmentioning

confidence: 99%

Age-related brain atrophy in cats without apparent neurological and behavioral signs using voxel-based morphometry

Hamamoto

Yu²,

Asada³

et al. 2022

Front. Vet. Sci.

View full text Add to dashboard Cite

IntroductionBrain atrophy is observed with aging and may cause cognitive decline or dysfunction. Aging cats may demonstrate behavioral changes related to cognitive dysfunction. In the clinical veterinary field, although the conventional region of interest method by manual or semiauto tracing on magnetic resonance imaging is used to detect atrophy of regional structures, such as the hippocampus, it is difficult to assess atrophy globally. Voxel-based morphometry (VBM) has been developed to detect global and regional abnormalities in humans. The purpose of the present study investigates whether the feline brain volume decreases with aging using VBM analysis.MaterialsA total of 65 cats, aged 17–200 months, without apparent neurological and behavioral signs were included in the statistical analysis.ResultsWe observed that the gray matter in the bilateral parietal lobes was decreased significantly with aging. The regions that showed decreased volume included the right postcruciate, cingulate gyrus, rostral suprasylvian/ectosylvian gyri, and the left postcruciate gyrus. No significant reduction in white matter was observed. Together, our results show that age-related brain atrophy can be detected using VBM analysis.DiscussionThe age-related atrophy of the parietal cortex may not cause neurological and behavioral signs in cats. Therefore, veterinarians should consider age when assessing the relation between morphometric and functional abnormalities of the parietal cortex in cats.

show abstract

A systematic review and meta-analysis of structural and functional brain alterations in individuals with genetic and clinical high-risk for psychosis and bipolar disorder

Cited by 36 publications

References 43 publications

Normative modeling of brain morphometry in Clinical High-Risk for Psychosis

Normative modeling of brain morphometry in Clinical High-Risk for Psychosis

Clinical and Cortical Similarities Identified Between Bipolar Disorder I and Schizophrenia: A Multivariate Approach

Age-related brain atrophy in cats without apparent neurological and behavioral signs using voxel-based morphometry

Contact Info

Product

Resources

About