scholarly journals Sex differences in neural correlates of common psychopathological symptoms in early adolescence

2021 ◽  
pp. 1-11
Author(s):  
Francesca Biondo ◽  
Charlotte Nymberg Thunell ◽  
Bing Xu ◽  
Congying Chu ◽  
Tianye Jia ◽  
...  
Keyword(s):  
Internalizing Symptoms ◽  
Grey Matter ◽  
Neural Correlates ◽  
Brain Regions ◽  
Female Adolescents ◽  
Grey Matter Volume ◽  
Community Based ◽  
Psychopathological Symptom ◽  
Strengths And Difficulties ◽  
The Brain

Abstract Background Sex-related differences in psychopathology are known phenomena, with externalizing and internalizing symptoms typically more common in boys and girls, respectively. However, the neural correlates of these sex-by-psychopathology interactions are underinvestigated, particularly in adolescence. Methods Participants were 14 years of age and part of the IMAGEN study, a large (N = 1526) community-based sample. To test for sex-by-psychopathology interactions in structural grey matter volume (GMV), we used whole-brain, voxel-wise neuroimaging analyses based on robust non-parametric methods. Psychopathological symptom data were derived from the Strengths and Difficulties Questionnaire (SDQ). Results We found a sex-by-hyperactivity/inattention interaction in four brain clusters: right temporoparietal-opercular region (p < 0.01, Cohen's d = −0.24), bilateral anterior and mid-cingulum (p < 0.05, Cohen's d = −0.18), right cerebellum and fusiform (p < 0.05, Cohen's d = −0.20) and left frontal superior and middle gyri (p < 0.05, Cohen's d = −0.26). Higher symptoms of hyperactivity/inattention were associated with lower GMV in all four brain clusters in boys, and with higher GMV in the temporoparietal-opercular and cerebellar-fusiform clusters in girls. Conclusions Using a large, sex-balanced and community-based sample, our study lends support to the idea that externalizing symptoms of hyperactivity/inattention may be associated with different neural structures in male and female adolescents. The brain regions we report have been associated with a myriad of important cognitive functions, in particular, attention, cognitive and motor control, and timing, that are potentially relevant to understand the behavioural manifestations of hyperactive and inattentive symptoms. This study highlights the importance of considering sex in our efforts to uncover mechanisms underlying psychopathology during adolescence.

scholarly journals Human brain anatomy reflects separable genetic and environmental components of socioeconomic status

2021 ◽  
Author(s):  
Hyeokmoon Kweon ◽  
Gokhan Aydogan ◽  
Alain Dagher ◽  
Danilo Bzdok ◽  
Christian C Ruff ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Grey Matter ◽  
Brain Regions ◽  
Grey Matter Volume ◽  
Brain Anatomy ◽  
Additive Effects ◽  
Common Genetic Variation ◽  
Matter Volume ◽  
Underlying Causes ◽  
The Brain

Recent studies report that socioeconomic status (SES) correlates with brain structure. Yet, such findings are variable and little is known about underlying causes. We present a well-powered voxel-based analysis of grey matter volume (GMV) across levels of SES, finding many small SES effects widely distributed across the brain, including cortical, subcortical and cerebellar regions. We also construct a polygenic index of SES to control for the additive effects of common genetic variation related to SES, which attenuates observed SES-GMV relations, to different degrees in different areas. Remaining variance, which may be attributable to environmental factors, is substantially accounted for by body mass index, a marker for lifestyle related to SES. In sum, SES affects multiple brain regions through measurable genetic and environmental effects.

Clinical and anatomical heterogeneity in autistic spectrum disorder: a structural MRI study

2009 ◽  
Vol 40 (7) ◽  
pp. 1171-1181 ◽  
Author(s):  
F. Toal ◽  
E. M. Daly ◽  
L. Page ◽  
Q. Deeley ◽  
B. Hallahan ◽  
...  
Keyword(s):  
Asperger Syndrome ◽  
Autistic Spectrum Disorder ◽  
Grey Matter ◽  
Clinical Phenotype ◽  
Brain Regions ◽  
Spectrum Disorder ◽  
Grey Matter Volume ◽  
Brain Anatomy ◽  
Autistic Spectrum ◽  
Adults With Asd

BackgroundAutistic spectrum disorder (ASD) is characterized by stereotyped/obsessional behaviours and social and communicative deficits. However, there is significant variability in the clinical phenotype; for example, people with autism exhibit language delay whereas those with Asperger syndrome do not. It remains unclear whether localized differences in brain anatomy are associated with variation in the clinical phenotype.MethodWe used voxel-based morphometry (VBM) to investigate brain anatomy in adults with ASD. We included 65 adults diagnosed with ASD (39 with Asperger syndrome and 26 with autism) and 33 controls who did not differ significantly in age or gender.ResultsVBM revealed that subjects with ASD had a significant reduction in grey-matter volume of medial temporal, fusiform and cerebellar regions, and in white matter of the brainstem and cerebellar regions. Furthermore, within the subjects with ASD, brain anatomy varied with clinical phenotype. Those with autism demonstrated an increase in grey matter in frontal and temporal lobe regions that was not present in those with Asperger syndrome.ConclusionsAdults with ASD have significant differences from controls in the anatomy of brain regions implicated in behaviours characterizing the disorder, and this differs according to clinical subtype.

scholarly journals Mapping the common and distinct neural correlates of visual, rule and motor conflict

2020 ◽  
Author(s):  
Bryony Goulding Mew ◽  
Darije Custovic ◽  
Eyal Soreq ◽  
Romy Lorenz ◽  
Ines Violante ◽  
...  
Keyword(s):  
Region Of Interest ◽  
Neural Correlates ◽  
Brain Regions ◽  
Control Mechanisms ◽  
Activation Patterns ◽  
The Common ◽  
Full Factorial ◽  
The Brain ◽  
Categorical Scale ◽  
Conflict Types

AbstractFlexible behaviour requires cognitive-control mechanisms to efficiently resolve conflict between competing information and alternative actions. Whether a global neural resource mediates all forms of conflict or this is achieved within domainspecific systems remains debated. We use a novel fMRI paradigm to orthogonally manipulate rule, response and stimulus-based conflict within a full-factorial design. Whole-brain voxelwise analyses show that activation patterns associated with these conflict types are distinct but partially overlapping within Multiple Demand Cortex (MDC), the brain regions that are most commonly active during cognitive tasks. Region of interest analysis shows that most MDC sub-regions are activated for all conflict types, but to significantly varying levels. We propose that conflict resolution is an emergent property of distributed brain networks, the functional-anatomical components of which place on a continuous, not categorical, scale from domain-specialised to domain general. MDC brain regions place towards one end of that scale but display considerable functional heterogeneity.

scholarly journals Dissection of neuroinflammation in schizophrenia

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S274-S275
Author(s):  
Fizah Muratib ◽  
Yuya Mizuno ◽  
Ines Carreira Figueiredo ◽  
Oliver Howes ◽  
Tiago Reis Marques
Keyword(s):  
Risk Factor ◽  
Grey Matter ◽  
Psychotic Disorders ◽  
Positive Association ◽  
Brain Regions ◽  
Regions Of Interest ◽  
Cannabis Use ◽  
Similar Response ◽  
Frequency Of Use ◽  
The Brain

AimsSchizophrenia is notoriously becoming one of the world's most debilitating mental disorders, affecting 1 in 100 people. There is increasing evidence that neuroinflammation plays a part in the pathogenesis of schizophrenia and other psychotic disorders; microglial activity acting as a marker for neuroinflammatory reactions in the brain. Furthermore, cannabis is an illicit substance that also evokes a similar response in the neuroimmune activity. This project explores how cannabis exposure influences an elevation in neuroinflammatory responses through TSPO levels, and whether this information can help us determine if cannabis use and increased TSPO levels can be associated with a risk factor for developing psychosis.Method55 participants (36 males and 19 females) were recruited from the community by the IRIS (Inflammatory Reaction in Schizophrenia) team at the IoPPN, King's College London, from which 34 patients with a diagnosis of schizophrenia and 21 healthy controls took part in the study. The eligible participants underwent clinical assessments and PET scanning, from which cannabis use history and PET data were collected. Participant neuroinflammatory levels are represented by [18F]DPA-714 volume and different regions of grey matter in the brain were analysed through multivariate analyses, the confounding variables being age and TSPO genotype.ResultA statistically significant association is shown between participants who have had exposure to cannabis and participants who have not had any exposure in their lifetime. The differences across the prioritised brain regions of interest were robust, the association appearing more apparent and statistically significant in the total (p = .00) and temporal grey matter (p = .00) regions of the brain. This may suggest that cannabis exposure influences the [18F]DPA-714 VT in the significant regions of interest. However, a negative association is seen with current use, the quantity of use, and the frequency of use.ConclusionThe initial findings for cannabis exposure show us a positive association with increased TSPO levels, however, limitations must be taken into account. Although we cannot readily establish that elevated TSPO levels in cannabis users can presently act as a risk factor marker for developing psychosis from this particular study, we can utilise this data to continue our research in disclosing a new system to predict the occurrence of psychosis.

Structural magnetic resonance imaging markers of susceptibility and transition to schizophrenia: A review of familial and clinical high risk population studies

2014 ◽  
Vol 29 (2) ◽  
pp. 144-154 ◽  
Author(s):  
C Bois ◽  
HC Whalley ◽  
AM McIntosh ◽  
SM Lawrie
Keyword(s):  
High Risk ◽  
Grey Matter ◽  
Brain Regions ◽  
High Risk Population ◽  
Clinical High Risk ◽  
Cross Sectional ◽  
Structural Abnormalities ◽  
Neuroimaging Data ◽  
Imaging Markers ◽  
The Brain

There is a growing consensus that a symptomatology as complex and heterogeneous as schizophrenia is likely to be produced by widespread perturbations of brain structure, as opposed to isolated deficits in specific brain regions. Structural brain-imaging studies have shown that several features of the brain, such as grey matter, white matter integrity and the morphology of the cortex differ in individuals at high risk of the disorder compared to controls, but to a lesser extent than in patients, suggesting that structural abnormalities may form markers of vulnerability to the disorder. Research has had some success in delineating abnormalities specific to those individuals that transition to psychosis, compared to those at high risk that do not, suggesting that a general risk for the disorder can be distinguished from alterations specific to frank psychosis. In this paper, we review cross-sectional and longitudinal studies of individuals at familial or clinical high risk of the disorder. We conclude that the search for reliable markers of schizophrenia is likely to be enhanced by methods which amalgamate structural neuroimaging data into a coherent framework that takes into account the widespread distribution of brain alterations, and relates this to leading hypotheses of schizophrenia.

scholarly journals Structural covariance and cortical reorganisation in schizophrenia: a MRI-based morphometric study

2018 ◽  
Vol 49 (3) ◽  
pp. 412-420 ◽  
Author(s):  
Lena Palaniyappan ◽  
Olha Hodgson ◽  
Vijender Balain ◽  
Sarina Iwabuchi ◽  
Penny Gowland ◽  
...  
Keyword(s):  
Grey Matter ◽  
Early Stage ◽  
Brain Regions ◽  
Significant Loss ◽  
Anterior Cingulate ◽  
Morphometric Study ◽  
Grey Matter Volume ◽  
Structural Covariance ◽  
Matter Volume ◽  
Functional Defect

AbstractBackgroundIn patients with schizophrenia, distributed abnormalities are observed in grey matter volume. A recent hypothesis posits that these distributed changes are indicative of a plastic reorganisation process occurring in response to a functional defect in neuronal information transmission. We investigated the structural covariance across various brain regions in early-stage schizophrenia to determine if indeed the observed patterns of volumetric loss conform to a coordinated pattern of structural reorganisation.MethodsStructural magnetic resonance imaging scans were obtained from 40 healthy adults and 41 age, gender and parental socioeconomic status matched patients with schizophrenia. Volumes of grey matter tissue were estimated at the regional level across 90 atlas-based parcellations. Group-level structural covariance was studied using a graph theoretical framework.ResultsPatients had distributed reduction in grey matter volume, with high degree of localised covariance (clustering) compared with controls. Patients with schizophrenia had reduced centrality of anterior cingulate and insula but increased centrality of the fusiform cortex, compared with controls. Simulating targeted removal of highly central nodes resulted in significant loss of the overall covariance patterns in patients compared with controls.ConclusionRegional volumetric deficits in schizophrenia are not a result of random, mutually independent processes. Our observations support the occurrence of a spatially interconnected reorganisation with the systematic de-escalation of conventional ‘hub’ regions. This raises the question of whether the morphological architecture in schizophrenia is primed for compensatory functions, albeit with a high risk of inefficiency.

scholarly journals Neural correlates of orbital telorism

2021 ◽  
Author(s):  
Mikolaj A Pawlak ◽  
Maria J Knol ◽  
Meike W Vernoiij ◽  
Mohammad Arfan Ikram ◽  
Hieab Adams ◽  
...  
Keyword(s):  
General Population ◽  
Developmental Disorders ◽  
Grey Matter ◽  
Fluid Intelligence ◽  
Neural Correlates ◽  
Population Based ◽  
P Value ◽  
Magnetic Reso ◽  
The Brain ◽  
Made In

Orbital telorism, the interocular distance, is a clinically informative and in extremes is considered a mi-nor physical anomaly. While its extremes, hypo- and hypertelorism, have been linked to disorders often related to cognitive ability, little is known about the neural correlates of normal variation of telorism within the general population. We derived measures of orbital telorism from cranial magnetic reso-nance imaging (MRI) by calculating the distance between the eyeball center of gravity in two population-based datasets (N=5,653, N=29,824, Mean age 64.66, 63.75 years). This measure was found to be related grey matter tissue density within numerous regions of the brain, including, but surprisingly not limited to, the frontal regions, in both positive and negative directions. Additionally, telorism was related to several cognitive functions, such as Perdue Pegboard test (Beta, P-value, (CI95%) -0.02, 1.63x10-7(-0.03;-0.01)) and fluid intelligence (0.02, 4.75x10-06 (0.01:0.02)), with some relationships driven by individuals with a smaller orbital telorism. This is reflective of the higher prevalence of hypo-telorism in developmental disorders, specifically those that are lower functioning. This study suggests, despite previous links only made in clinical extremes, that orbital telorism holds some relation to structural brain development and cognitive function in the general population. This relationship is likely driven by shared developmental periods.

scholarly journals Common and distinct neural correlates of music and food-induced pleasure: a coordinate-based meta-analysis of neuroimaging studies

2020 ◽  
Author(s):  
Ernest Mas-Herrero ◽  
Larissa Maini ◽  
Guillaume Sescousse ◽  
Robert J. Zatorre
Keyword(s):  
Sensory Processing ◽  
Ventral Striatum ◽  
Meta Analysis ◽  
Neural Correlates ◽  
Brain Regions ◽  
Reward Circuitry ◽  
Brain Responses ◽  
Partial Dissociation ◽  
Reward Network ◽  
The Brain

ABSTRACTNeuroimaging studies have shown that, despite the abstractness of music, it may mimic biologically rewarding stimuli (e.g. food) in its ability to engage the brain’s reward circuity. However, due to the lack of research comparing music and other types of reward, it is unclear to what extent the recruitment of reward-related structures overlaps among domains. To achieve this goal, we performed a coordinate-based meta-analysis of 38 neuroimaging studies (703 subjects) comparing the brain responses specifically to music and food-induced pleasure. Both engaged a common set of brain regions including the ventromedial prefrontal cortex, ventral striatum, and insula. Yet, comparative analyses indicated a partial dissociation in the engagement of the reward circuitry as a function of the type of reward, as well as additional reward type-specific activations in brain regions related to perception, sensory processing, and learning. These results support the idea that hedonic reactions rely on the engagement of a common reward network, yet through specific routes of access depending on the modality and nature of the reward.

scholarly journals INFLUENCE OF PSYCHOTIC EPISODES ON GREY MATTER VOLUME CHANGES IN PATIENTS WITH SCHIZOPHRENIA

2020 ◽  
Author(s):  
Antonija Ružić Baršić ◽  
Gordana Rubeša ◽  
Diana Mance ◽  
Damir Miletić ◽  
Lea Gudelj ◽  
...  
Keyword(s):  
Grey Matter ◽  
Disease Duration ◽  
Severe Illness ◽  
Grey Matter Volume ◽  
Healthy Controls ◽  
Voxel Based Morphometry ◽  
Matter Volume ◽  
Multiple Regions ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

Background: Schizophrenia is a severe illness whose clinical course is characterized by various numbers of psychotic episodes (PE). The neurotoxic hypothesis (NH) of schizophrenia assumes that psychosis is biologically toxic. The aim of the study was to investigate whether schizophrenia patients (SP) with multiple PE have greater grey matter volume (GMV) reduction compared to SP with fewer PE.Subjects and methods: We enrolled 106 adult SP and 63 healthy controls. Demographic and clinical data were collected and statistically analysed for all included subjects. Magnetic resonance imaging (MRI) of the brain was acquired on a 1.5 T scanner. SP were grouped according to the number of PE into a group with up to 3 PE (SCHG-1) and with 4 or more PE (SCHG-2). SCHG-1 was further subdivided into two groups regarding to disease duration (DD). Voxel based morphometry (VBM) analyses were performed between SP groups as well as between SP groups and the healthy controls group (HCG).Results: No relevant GMV differences were detected between SP groups. Comparison between HCG and SCHG-1 showed only 3 regions with reduced GMV, while multiple regions with reduced GMV were detected when comparing HCG and SCHG-2. Conclusions: GMV reduction in schizophrenia varies depending on the number of PE when compared to HCG, regardless of disease duration (DD), but PE is not the only contributing factor that leads to neurotoxicity.

scholarly journals Episodic memory-related activation in schizophrenia: meta-analysis

2005 ◽  
Vol 187 (6) ◽  
pp. 500-509 ◽  
Author(s):  
Amélie M. Achim ◽  
Martin Lepage
Keyword(s):  
Episodic Memory ◽  
Temporal Lobe ◽  
Medial Temporal Lobe ◽  
Meta Analysis ◽  
Temporal Cortex ◽  
Neural Correlates ◽  
Brain Regions ◽  
Group Differences ◽  
Memory Encoding ◽  
The Brain

BackgroundNumerous studies have examined the neural correlates of episodic memory deficits in schizophrenia, yielding both consistencies and discrepancies in the reported patterns of results.AimsTo identify in schizophrenia the brain regions in which activity is consistently abnormal across imaging studies of memory.MethodData from 18 studies meeting the inclusion criteria were combined using a recently developed quantitative meta-analytic approach.ResultsRegions of consistent differential activation between groups were observed in the left inferior prefrontal cortex, medial temporal cortex bilaterally, left cerebellum, and in other prefrontal and temporal lobe regions. Subsequent analyses explored memory encoding and retrieval separately and identified between-group differences in specific prefrontal and medial temporal lobe regions.ConclusionsBeneath the apparent heterogeneity of published findings on schizophrenia and memory, a consistent and robust pattern of group differences is observed as a function of memory processes.

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