Mapping brain asymmetry

Decoding depression: How DLPFC and SMA mediate stress perception's role in mental health?

BACKGROUND

Depression is a common mental disorder that significantly impacts global well-being. Although stress is a major contributor to depression, not all stress leads to depressive outcomes due to differences in stress perception. Understanding the neural mechanisms of stress perception may help identify biomarkers for targeted interventions to alleviate stress-related depression.

METHODS

This study included 113 participants. Each participant completed a Verbal Fluency Task (VFT) while undergoing functional near-infrared spectroscopy (fNIRS) to monitor brain activity. Oxyhemoglobin (Oxy-Hb) concentration data were analyzed using Matlab, and PROCESS v4.1 to examine neural mechanisms connecting stress perception and depression.

RESULTS

Correlation analysis showed a significant negative association between depression severity and Oxy-Hb concentration in several brain regions, including the bilateral dorsolateral prefrontal cortex (DLPFC), bilateral Broca's area (BA), right frontal pole (FP), and right orbitofrontal cortex (OFC). Mediation and moderation analyses revealed that the bilateral DLPFC serves as a key mediator in the relationship between stress perception and depression, with the supplementary motor area (SMA) acts as a moderator. Functional differentiation was observed, with the left DLPFC and left SMA influencing the effect of nervous on depression, and the right DLPFC and right SMA influencing the effect of uncontrolled on depression.

CONCLUSION

The bilateral DLPFC and SMA play critical roles in mediating and moderating stress perception's impact on depression, suggesting these regions as potential targets for interventions in stress-related depressive disorders.

Hemispheric asymmetry in language-related brain regions

Structural asymmetries of the human brain have been widely studied in previous research. However, there is a lack of consistency across studies in terms of whether brain regions are larger in the left hemisphere than the right (leftward asymmetry), larger in the right hemisphere than the left (rightward asymmetry), or similar in both hemispheres (no asymmetry). Moreover, some of the existing studies exploring brain asymmetry were based on only small sample sizes and/or restricted to younger participants. Thus, here we analysed brain asymmetry in a well-powered sample (n = 532) later in life (mean age: 67 years). Given that language is known to be strongly lateralized in the brain, the current study focused on regions related to language. When assessing cortical volumes and surface areas, we observed significant leftward asymmetries for the superior temporal gyrus, superior temporal sulcus, supramarginal gyrus, pars opercularis, transverse gyrus, and temporal gyrus, whereas the pars triangularis showed a significant rightward asymmetry. In contrast, when assessing cortical thickness, we detected a significant leftward asymmetry for the pars triangularis and a significant rightward asymmetry for the superior temporal sulcus. The present observations on asymmetry in language-related brain regions in a large sample of older but neurologically healthy participants may serve as a normative framework against which data from clinical samples can be compared.

Can a Portable Flash Visual Evoked Potential (VEP) Device Identify Chiasmal Decussation Anomalies in Albinism?

Background: Visual evoked potentials (VEPs) are used to detect chiasmal misrouting associated with albinism. However, VEPs are only performed in specialist centres and typically have long waiting lists. The portable electrophysiology device RETeval® shows promise as a clinical screening tool across a range of ophthalmic conditions. Here, we explore its utility in detecting chiasmal abnormalities associated with albinism. Methods: Flash VEPs were recorded on the RETeval® and by standard ISCEV techniques for 27 patients with suspected albinism and 40 control patients as part of routine appointments. We retrospectively investigated the agreeability between the two methods. The amplitude/latency of the main component was measured for standard VEPs whilst a correlation value of interhemispheric difference was calculated for the RETeval® data. Results: We demonstrate a significant difference between albinism patients and controls (p < 0.001) with respect to the interhemispheric difference identified by the RETeval®. By applying a threshold of 0.001865 to the correlation value, the RETeval® detected chiasmal misrouting in all 27 patients with albinism and had 97% agreeability to standard testing. Conclusions: This study shows the potential of using the RETeval® as a clinical tool for the diagnosis of chiasmal anomalies in albinism. The RETeval® has significant time/cost savings which could hasten diagnoses.

Functional and structural brain remodeling in patients with degenerative cervical myelopathy following cervical decompression surgery

BACKGROUND

Degenerative cervical myelopathy (DCM) represents a prevalent etiology of neurological dysfunction, for which cervical decompression surgery (CDS) constitutes the principal therapeutic intervention. Advanced magnetic resonance imaging (MRI) techniques are crucial in elucidating the cerebral alterations associated with neuroinjury resulting from DCM.

METHODS

In this prospective cohort study, we conducted an analysis of data from 54 patients with DCM both before and after surgery, as well as 57 healthy controls (HC), using functional MRI in combination with high-resolution structural MRI. The primary metrics included the z score transformation amplitude of low-frequency fluctuations (zALFF), functional connectivity (FC), and gray matter volume (GMV). Neurological function was evaluated through standardized clinical scores. Statistical analyses were employed to compare preoperative and postoperative changes, as well as to examine correlations with patient recovery outcome.

RESULTS

Here we show that DCM patients exhibit significant preoperative alterations in zALFF, FC, and GMV within critical brain regions associated with sensory processing, motor control, and cognitive integration. Postoperatively, an increase in zALFF within Postcentral_R region, along with increased FC with motor-related areas, which correlates positively with neurological recovery. Moreover, GMV shows a widespread reduction before and after surgery.

CONCLUSIONS

Our study reveals functional alterations within the brain are closely associated with effective surgical recovery, especially concerning the remodeling of the ascending and descending pathways along the brain-spinal cord axis. Moreover, macrostructural changes manifest more gradually, with the recovery of brain function depending more on compensation and remodeling within neural networks than solely on structural restoration.

Altered hemispheres lateralization of brain functional gradients in Alzheimer's disease

BackgroundThe human brain demonstrates intrinsic hemispheric asymmetry across structural, functional, and biochemical domains. While cortical gradients provide a multiscale framework for understanding brain network organization, their hemispheric divergence in Alzheimer's disease (AD) remains unexplored.ObjectiveTo characterize interhemispheric gradient lateralization patterns across the AD continuum and evaluate their clinical correlates.MethodsResting-state fMRI data of 45 normal controls (NC), 45 patients with mild cognitive impairment (MCI), and 45 patients with AD underwent gradient networks processing. Interhemispheric comparisons of mean gradient values were conducted across these groups. A lateralization index (L value) was defined for 17 networks, and differences among the three groups were analyzed using one-way ANOVA. Additionally, correlations between network L values and cognitive scores were examined.ResultsNC and MCI participants exhibited left lateralization of gradient values in the second gradient. In contrast, AD patients showed a loss of interhemispheric lateralization. Notably, AD patients demonstrated reduced lateralization in default mode network (DMN) and control network. The degree of lateralization in DMN was significantly positively correlated with cognitive function.ConclusionsOur findings indicated that patients with AD demonstrated a diminished lateralization in gradient networks. Quantifying gradient laterality may serve as a multimodal biomarker for early AD detection and therapeutic monitoring.

Decreased left brain specialization in bipolar disorder patients and its association with neurotransmitter and genetic profiles: A longitudinal study

Brain specialization plays a crucial role in human behavior and cognition. Previous studies have suggested abnormal specialization in psychiatric disorders; however, the specialization patterns of bipolar disorder (BD) and the effects of medication on these changes remain unclear. According to Crow's hypothesis regarding the key role of language in the origin of psychoses, BD patients (BDPs) may exhibit abnormal language-related specialization. Here, we aimed to explore brain specialization alterations of BDPs before and after pharmacological treatment. The autonomy index, based on resting-state images, was used to assess brain specialization in 82 BDPs and 88 healthy controls (HCs). Among patients, 43 BDPs who underwent 3 months of pharmacological treatment completed the follow-up. Using autonomy index as input, support vector regression (SVR) analysis was conducted to predict treatment response. Additionally, we conducted cross-sample correlation analyses between autonomy index and genetic profiles or the densities of neurotransmitter receptors/transporters. At baseline, BDPs exhibited reduced autonomy index in the left middle temporal gyrus (MTG) relative to HCs. However, no significant alterations were observed following pharmacological treatment. Using autonomy index, the SVR model could predict treatment response for BDPs with a correlation coefficient of 0.705. Brain specialization patterns were correlated with six genes and neurotransmitters including dopaminergic (D1R, D2R, and DAT) and serotonergic (5-HT2A) transmission. In line with Crow's hypothesis, we found reduced brain specialization in a key node of the language network (LN) in BDPs. We also provided potential genetic and biological mechanisms underlying BD.

Functional divergence between the two cerebral hemispheres contributes to human fluid intelligence

Hemispheric lateralization is linked to potential cognitive advantages. It is considered a driving force behind the generation of human intelligence. However, establishing quantitative links between the degree of lateralization and intelligence in humans remains elusive. In this study, we propose a framework that utilizes the functional aligned multidimensional representation space derived from hemispheric functional gradients to compute between-hemisphere distances within this space. Applying this framework to a large cohort (N = 777), we identified high functional divergence across the two hemispheres within the frontoparietal network. We found that both global divergence between the cerebral hemispheres and regional divergence within the multiple demand network were positively associated with fluid composite score and partially mediated the relationship between brain size and individual differences in fluid intelligence. Together, these findings deepen our understanding of hemispheric lateralization as a fundamental organizational principle of the human brain, providing empirical evidence for its role in supporting fluid intelligence.

Developing brain asymmetry shapes cognitive and psychiatric outcomes in adolescence

Cerebral asymmetry, fundamental to various cognitive functions, is often disrupted in neuropsychiatric disorders. While brain growth has been extensively studied, the maturation of brain asymmetry in children and the factors influencing it in adolescence remain poorly understood. We analyze longitudinal data from 11,270 children aged 10-14 years in the Adolescent Brain Cognitive Development (ABCD) study. Our analysis maps the developmental trajectory of structural brain asymmetry. We identify significant age-related, modality-specific development patterns. These patterns link to crystallized intelligence and mental health problems, but with weak correlations. Genetically, structural asymmetry relates to synaptic processes and neuron projections, likely through asymmetric synaptic pruning. At the microstructural level, corpus callosum integrity emerged as a key factor modulating the developing asymmetry. Environmentally, favorable perinatal conditions were associated with prolonged corpus callosum development, which affected future asymmetry patterns and cognitive outcomes. These findings underscore the dynamic yet predictable interactions between brain asymmetry, its structural determinants, and cognitive and psychiatric outcomes during a pivotal developmental stage. Our results provide empirical support for the adaptive plasticity theory in cerebral asymmetry and offer insights into both cognitive maturation and potential risk for early-onset mental health problems.

Hemispheric Asymmetry and Task Accuracy

Interhemispheric asymmetry is a core feature of human brain organization, yet its functional relevance across cognitive domains remains incompletely understood. Using data from 989 participants in the Human Connectome Project, we examined patterns of functional asymmetry and their relationship to task performance across seven domains-motor, language, social cognition, relational processing, working memory, gambling, and emotion. An fMRI-derived asymmetry index was computed across 17 task contrasts and mapped onto the cortical surface. Both fMRI signal amplitude and asymmetry were positively associated with task accuracy across multiple networks and cognitive domains. These associations were strongest in language, frontoparietal, and dorsal attention networks during high-demand tasks, such as story comprehension, relational processing, and working memory. Partial least squares regression revealed that while amplitude was the more robust predictor of task accuracy, asymmetry contributed unique, complementary variance. These findings suggest that greater neural activation and stronger hemispheric differentiation jointly support better cognitive performance. Together, our results underscore the behavioral relevance of both fMRI signal amplitude and lateralization, offering new insights into the functional architecture and efficiency of the human brain.

Stepping and tapping: combining motor tasks improves cognitive classification

Gait and key-tapping are individually associated with mild cognitive impairment (MCI) and dementia. However, it is unclear if these motor functions are correlated, or whether combining them improves classification of objective (dementia, MCI) and subjective cognitive impairment (SCI). We recruited 73 participants with dementia, 106 MCI, 57 SCI, and 83 cognitively healthy controls (HC). Consensus diagnosis was made after gold-standard interdisciplinary assessment. Fast-paced gait was assessed on an electronic walkway and fast-paced key-tapping on a computer keyboard. Correlations between gait and key-tapping measures (speed, frequency, variability and contact) were tested using Pearson's correlation. Classification accuracy was calculated using area under receiver-operating-characteristic curves (AUC) and compared to the null model comprising age, sex and education. Gait and key-tapping measures correlated moderately. Combined gait and key-tapping speed improved classification accuracy of dementia (.97), and MCI (.91), from HC, but not SCI, compared to gait (dementia: .94, MCI: .87) or the null model (dementia: .89, MCI: .79). Gait and key-tapping measures were associated with Alzheimer's disease and vascular dementia, but the effect size for key-tapping variability was larger in vascular dementia (β: 225.71) compared to Alzheimer's disease (β: 38.30). Gait and key-tapping variability was associated with non-amnestic MCI. Measures of gait were correlated with corresponding key-tapping measures, but their association with cognitive impairment was not the same. Combining gait and key-tapping motor measures improved classification accuracy of MCI and dementia. This suggests gait and key-tapping measures provide information about different aspects of motor-cognitive association worth further investigation.

Cortical neural activity during responses to mechanical perturbation: Effects of hand preference and hand used

Handedness is an important feature of human behavioral lateralization that has often been associated with hemispheric specialization. Existing neuroimaging research on the effect of handedness during motor control has focused on well-practiced or predictable tasks, but not tasks that involve unpredictable perturbations. We examined the extent to which handedness (measured by self-reported hand preference) and whether the dominant hand is used or not influence the motor and neural response during unimanual voluntary corrective actions. The experimental task involved controlling a robotic manipulandum to move a cursor from a center start point to a target presented above or below the start. In some trials, a mechanical perturbation of the hand was randomly applied by the robot either consistent or against the target direction, while electroencephalography (EEG) was recorded. Fourteen left-handers and fourteen right-handers completed the experiment. Left-handed individuals had a greater negative peak in the frontal event-related potential (ERP) during the initial voluntary response stage (N140) than right-handed individuals. Furthermore, left-handed individuals showed more symmetrical ERP distributions between two hemispheres than right-handed individuals in the frontal and parietal regions during the late voluntary response stage (P380). To the best of our knowledge, this is the first evidence to demonstrate the differences in the cortical control of voluntary corrective actions between left-handers and right-handers.

Surgical targeting of lateralized 18F-fluorodeoxyglucose positron emission tomography hypometabolism relates to long-term epilepsy surgery outcomes

OBJECTIVE

Surgical resection of the seizure onset zone can be an effective treatment for patients with drug-resistant focal epilepsy. Clinical, electrophysiological, and imaging data are all gathered prior to surgery to localize the seizure onset zone. However, only ~62% of patients become seizure-free after surgery, highlighting the need for improved methods to prospectively predict seizure recurrence after resection. 18F-Fluorodeoxyglucose (FDG) positron emission tomography (PET) is routinely acquired to guide epilepsy surgery; however, these scans are often assessed qualitatively in the clinic. Here, we quantified the surgical targeting of lateralized FDG-PET hypometabolism and assessed its relationship to surgical outcomes.

METHODS

We included 55 patients who underwent resective epilepsy surgery (46 with temporal lobe epilepsy). We calculated laterality of the patients' presurgical FDG-PET scans and used pre- and postsurgical magnetic resonance imaging to delineate the surgically resected regions. Surgical targeting of FDG-PET laterality was computed using the discriminability between resected and spared regions statistic.

RESULTS

We found that surgical targeting of FDG-PET laterality could distinguish temporal lobe epilepsy patients who achieve freedom from disabling seizures in the long term (3 years) from those who do not (area under the curve [AUC] = .83), outperforming the standard clinical assessment (AUC = .68). We additionally found that this method generalized to the nine patients with extratemporal lobe focal epilepsy.

SIGNIFICANCE

This study highlights the benefit of quantifying FDG-PET to guide epilepsy surgery. The presented quantitative FDG-PET method could be used prospectively in the clinic to aid in surgical guidance and patient counseling.

Asymmetric Sampling in Time: Evidence and perspectives

Auditory and speech signals are undisputedly processed in both left and right hemispheres, but this bilateral allocation is likely unequal. The Asymmetric Sampling in Time (AST) hypothesis proposed a division of labor that has its neuroanatomical basis in the distribution of neuronal ensembles with differing temporal integration constants: left auditory areas house a larger proportion of ensembles with shorter temporal integration windows (tens of milliseconds), suited to process rapidly changing signals; right auditory areas host a larger proportion with longer time constants (∼150-300 ms), ideal for slowly changing signals. Here we evaluate the large body of findings that clarifies this relationship between auditory temporal structure and functional lateralization. In this reappraisal, we unpack whether this relationship is influenced by stimulus type (speech/nonspeech), stimulus temporal extent (long/short), task engagement (high/low), or (imaging) modality (hemodynamic/electrophysiology/behavior). We find that the right hemisphere displays a clear preference for slowly changing signals whereas the left-hemispheric preference for rapidly changing signals is highly dependent on the experimental design. We consider neuroanatomical properties potentially linked to functional lateralization, contextualize the results in an evolutionary perspective, and highlight future directions.

Effects of different hemispheric gliomas on depression and prognosis in neurosurgery patients

BACKGROUND

Depression is common in patients with gliomas, but few studies focused on the association between depression and glioma laterality.

AIMS

This study was purposed to investigate depression difference and prognostic value between patients with left-hemispheric gliomas and right-hemispheric gliomas.

METHODS

This study included 212 patients with left-hemispheric gliomas and 218 patients with right-hemispheric gliomas. Hospital Anxiety and Depression Scale (HADS) and Zung self-rating depression scale (SDS) were independently performed before surgery, 3 months and 6 months after surgery. All patients were followed up to death or 36 months. Overall survival (OS) and progression-free survival (PFS) were performed to evaluate the survival of glioma patients.

RESULTS

The preoperative prevalence and scores of depression in patients with left-hemispheric gliomas were higher than those in patients with right-hemispheric gliomas. But there were no differences in postoperative prevalence and scores of depression between patients with left-hemispheric gliomas and right-hemispheric gliomas. In patients with left-hemispheric gliomas or with right-hemispheric gliomas, the preoperative scores of depression were higher than postoperative scores of depression, whereas there was no difference in depression score between 3 months after surgery and 6 months after surgery. In addition, patients with right-hemispheric gliomas had better PFS and OS than patients with left-hemispheric gliomas.

CONCLUSIONS

Patients with left-hemispheric gliomas are more likely to bring about depression than patients with right-hemispheric gliomas. Besides, patients with right-hemispheric gliomas are more likely to have better survival than patients with left-hemispheric gliomas. Surgery is considered as a useful treatment to alleviate depression of glioma patients.

Systematic bias in surface area asymmetry measurements from automatic cortical parcellations

Anatomical asymmetry is a hallmark of the human brain and may reflect hemispheric differences in its functional organization. Widely used software like FreeSurfer can automate neuroanatomical measurements and facilitate studies of hemispheric asymmetry. However, patterns of surface area lateralization measured using FreeSurfer are curiously consistent across diverse samples. Here, we demonstrate systematic biases in these measurements obtained from the default processing pipeline. We compared surface area asymmetry measured from reconstructions of original brains vs. the same scans after flipping their left-right orientation. The default pipeline returned implausible asymmetry patterns between the original and flipped brains: Many structures were always left- or right-lateralized. Notably, these biases occur prominently in key speech and language regions. In contrast, manual labeling and curvature-based parcellations of key structures both yielded the expected reversals of left/right lateralization in flipped brains. We determined that these biases result from discrepancies in how regional labels are defined in the left vs. right hemisphere in the default cortical parcellation atlases. These biases are carried into individual parcellations because the FreeSurfer parcellation algorithm prioritizes vertex correspondence to the template atlas relative to individual neuroanatomical variation. We further demonstrate several straightforward, bias-free approaches to measuring surface area asymmetry, including using symmetric registration templates and parcellation atlases, vertex-wise analyses, and within-subject curvature-based parcellations. These results highlight theoretical concerns about using only the default processing stream to make inferences about population-level brain asymmetry and underscore the need for validating bias-free neuroanatomical measurements, particularly when studying regions where structural lateralization may underlie functional lateralization.

Brain asymmetry and its association with inattention and heritability during neurodevelopment

The relationship between brain asymmetry and inattention, and their heritability is not well understood. Utilizing advanced neuroimaging, we examined brain asymmetry with data from the Adolescent Brain Cognitive Development (ABCD; n = 8943; 9-10 y) and the Human Connectome Project (HCP) cohorts (n = 1033; 5-100 y). Data-driven metrics from resting-state fMRI and morphometrics revealed reproducible and stable brain asymmetry patterns across the lifespan. In children, high levels of inattention were highly heritable (61%) and linked to reduced leftward asymmetry of functional connectivity in the dorsal posterior superior temporal sulcus (dpSTS), a region interconnected with a left-lateralized language network. However, reduced dpSTS asymmetry had low heritability (16%) and was associated with lower cognitive performance suggesting that non-genetic factors, such as those mediating cognitive performance, might underlie its association with dpSTS asymmetry. Interventions that enhance cognition might help optimize brain function and reduce inattention.

Altered Hemispheric Asymmetry of Functional Hierarchy in Schizophrenia

BACKGROUND/OBJECTIVES

Schizophrenia is a severe psychiatric disorder characterized by deficits in perception and advanced cognitive functions. Prior studies have reported abnormal lateralization in cortical morphology and functional connectivity in schizophrenia. However, it remains unclear whether schizophrenia affects hemispheric asymmetry in the hierarchical organization of functional connectome.

METHODS

Here, we apply a gradient mapping framework to the hemispheric functional connectome to estimate the first three gradients, which characterize unimodal-to-transmodal, visual-to-somatomotor, and somatomotor/default mode-to-multiple demand hierarchy axes. We then assess between-group differences in intra- and inter-hemispheric asymmetries of these three functional gradients.

RESULTS

We find that, compared to healthy controls, patients with schizophrenia exhibit significantly altered hemispheric asymmetry in functional gradient across multiple networks, including the dorsal attention, ventral attention, visual, and control networks. Region-level analyses further reveal that patients with schizophrenia show significantly abnormal hemispheric gradient asymmetries in several cortical regions in the dorsal prefrontal gyrus, medial superior frontal gyrus, and somatomotor areas. Lastly, we find that hemispheric asymmetries in functional gradients can differentiate between patients and healthy controls and predict the severity of positive symptoms in schizophrenia.

CONCLUSIONS

Collectively, these findings suggest that schizophrenia is associated with altered hemispheric asymmetry in functional hierarchy, providing novel perspectives for understanding the atypical brain lateralization in schizophrenia.

The Cortical Asymmetry Index for subtyping dementia patients

OBJECTIVES

Frontotemporal dementia (FTD) usually shows more asymmetric atrophy patterns than Alzheimer's disease (AD). We aim to quantify this asymmetry to differentiate FTD, AD, and FTD subtypes.

METHODS

We studied T1-MRI scans, including FTD (different phenotypes), AD, and healthy controls (CTR). We defined the Cortical Asymmetry Index (CAI) using measures based on a metric derived from information theory with the cortical thickness measures. Some participants had additional follow-up MRIs, cerebrospinal fluid (CSF), or plasma measures. We analysed differences at cross-sectional and longitudinal levels. We then clustered FTD and AD participants based on the CAI values and studied the patients' fluid biomarker characteristics within each cluster.

RESULTS

A total of 101 FTD patients (64  ±  8 years, 53 men), 230 AD patients (65  ±  10 years, 84 men), and 173 CTR (59  ±  15 years, 67 men) were studied. CAI differentiated FTD, AD, and CTR. It also distinguished the semantic variant primary progressive aphasia (svPPA) from the other FTD phenotypes. In FTD, the CAI increased over time. The cluster analysis identified two subgroups within FTD, characterised by different neurofilament-light (NfL) levels, and two subgroups within AD, with different plasma glial fibrillary acidic protein (GFAP) levels. In AD, CAI correlated with GFAP and Mini-Mental State Examination (MMSE); in FTD, the CAI was associated with NfL levels.

CONCLUSIONS

The proposed method quantifies asymmetries previously described visually. The CAI could define clinically and biologically meaningful disease subgroups in the differential diagnosis of AD and FTD and its subtypes. CAI could also be of interest in tracking disease progression in FTD.

KEY POINTS

Question There is a need to find quantitative metrics from MRI that can identify disease subgroups, and that could be useful for diagnosis and tracking. Findings We propose a Cortical Asymmetry Index that differentiates Alzheimer's disease (AD) from Frontotemporal dementia (FTD), distinguishes FTD subtypes, correlates with NFL and GFAP levels, and monitors FTD progression. Clinical relevance Our proposed index holds the potential to support clinical applications for diagnosis and disease tracking in AD and FTD, using a quantitative summary metric from MRI data. It also contributes to the understanding of these diseases.

Global brain asymmetry

Lateralization is a defining characteristic of the human brain, often studied through localized approaches that focus on interhemispheric differences between homologous pairs of regions. It is also important to emphasize an integrative perspective of global brain asymmetry, in which hemispheric differences are understood through global patterns across the entire brain.

The universe is asymmetric, the mouse brain too

Hemispheric brain asymmetry is a basic organizational principle of the human brain and has been implicated in various psychiatric conditions, including autism spectrum disorder. Brain asymmetry is not a uniquely human feature and is observed in other species such as the mouse. Yet, asymmetry patterns are generally nuanced, and substantial sample sizes are required to detect these patterns. In this pre-registered study, we use a mouse dataset from the Province of Ontario Neurodevelopmental Network, which comprises structural MRI data from over 2000 mice, including genetic models for autism spectrum disorder, to reveal the scope and magnitude of hemispheric asymmetry in the mouse. Our findings demonstrate the presence of robust hemispheric asymmetry in the mouse brain, such as larger right hemispheric volumes towards the anterior pole and larger left hemispheric volumes toward the posterior pole, opposite to what has been shown in humans. This suggests the existence of species-specific traits. Further clustering analysis identified distinct asymmetry patterns in autism spectrum disorder models, a phenomenon that is also seen in atypically developing participants. Our study shows potential for the use of mouse models to understand the biological bases of typical and atypical brain asymmetry but also warrants caution as asymmetry patterns seem to differ between humans and mice.

Comparison of functional, structural and vascular characteristics between dominant and nondominant eyes

PURPOSE

The aim of this study was to compare retinal and optic disc functions as well as vascular structures in dominant eyes (DE) and non-dominant eyes (NDE) among healthy adults using pattern electroretinogram (PERG), optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) tests.

METHODS

Seventy-two eyes of 36 healthy subjects with bilateral visual acuity of 1.0 were included. Parameters such as intraocular pressure (IOP), cycloplegic spherical equivalent value (SE), PERG, retinal nerve fiber layer (RNFL) thicknesses and OCTA measurements were evaluated. Ocular dominance was determined using the hole-in-the-card test.

RESULTS

Of the participants, 67% were female, with a median age of 28 (min-max.18-35) years. Right eye dominance was observed in 61.2% of cases, while left eye dominance was seen in 38.8%. There was no significant difference in refractive values between eyes with right and left eye dominance (0.60 ± 0.40 and 0.41 ± 0.28, p = 0.42). The dominant eyes showed significantly higher P50 amplitude (10.2 µV vs. 9.2 µV, p = 0.003) and shorter peak time (47.9 ms. vs. 48.6 ms, p = 0.01) when compared to the nondominant eyes. There were comparable values in the peak times and amplitudes of the N95 component between the dominant and nondominant eyes. The RNFL layer was thicker on average (p, 0.001) as well as in the nasal and inferior quadrants of the dominant eyes (p < 0.05). OCTA analysis revealed no significant differences in the peripapillary and macular capillary vascular densities between dominant and nondominant eyes (p > 0.05), except for the deep whole capillary density in the macula, which was significantly higher in the dominant eyes (p = 0.02).

CONCLUSION

Our results indicate the existence of functional and structural relationships related to ocular dominance. Future studies provide further insights into ocular dominance and its relationship with eye structure.

The Challenge of Defining Laterality in Horses: Is It Laterality or Just Asymmetry?

The defining characteristic of laterality is the dominance of one side of the brain controlling specific functions of paired organs or on one side of the body. Structural and functional asymmetries are ubiquitous in horses and range from anatomical features (e.g., the length of long bones) to the gathering of sensory information (e.g., which eye is used to observe unfamiliar scenes) and motor functions (e.g., left-right differences in locomotion). There is a common tendency to assign observed structural or functional asymmetries to lateralization, which often involves more than a simple left-right difference in observed behavior. This narrative review explores the concept of laterality relative to the structural and functional asymmetries reported in horses. Inconsistent and poorly defined terminology, a widely disparate methodology, and a lack of standardized thresholds make it difficult to assess the presence or degree of laterality. Within this context, there seems to be limited evidence of laterality in horses and much more prevalent and stronger support for structural and functional asymmetries due to a wide range of well-established behavioral, nociceptive, and biomechanical mechanisms. The authors caution against generalizing the idea that all observed structural or functional asymmetries in horses are due to laterality.

Swimming through asymmetry: zebrafish as a model for brain and behavior lateralization

The left and right sides of the brain show anatomical, neurochemical and functional differences. In the past century, brain and behavior lateralization was considered a human peculiarity associated with language and handedness. However, nowadays lateralization is known to occur among all vertebrates, from primates to fish. Fish, especially zebrafish (Danio rerio), have emerged as a crucial model for exploring the evolution and mechanisms of brain asymmetry. This review summarizes recent advances in zebrafish research on brain lateralization, highlighting how genetic tools, imaging, and transgenic methods have been used to investigate left-right asymmetries and their impact on sensory, cognitive, and social behaviors including possible links to neurodevelopmental and neurodegenerative disorders.

Right brain hemisphere lesions affecting language functioning in the acute phase of stroke recovery: A Croatian survey

Greater empirical and scientific attention is still put on patients with left brain hemisphere (LBH) damage where language impairments are common and expected. In patients with RBH damage, language assessment is therefore rarely done in the acute phase of stroke recovery.

PURPOSE

To investigate language impairments in the acute phase of stroke using a Croatian standardized language battery for the first time and compare patients with RBH stroke, LBH stroke and healthy individuals.

METHODS

This study compares language functioning in three groups of conveniently sampled participants: RBH stroke patients, LBH stroke patients and healthy individuals. Kruskal Wallis H test was used to evaluate a combined group comparison, after which a post-hoc Dunn test was performed.

RESULTS

Patients with RBH stroke scored significantly lower than healthy individuals on the CAT:HR in verbal fluency, comprehension of written sentences, naming, and total production. In addition, comprehension of written and spoken sentences did not differ between patients with RBH and LBH stroke patients which suggests the existence of language impairment (p>.05).

CONCLUSION

RBH stroke can significantly impair language comprehension and production in the acute phase of stroke recovery emphasizing the importance of early detection.

The lateralized cerebellum: insights into motor, cognitive, and affective functioning across ages: a scoping review

Research on the cerebellum and its functional organization has significantly expanded over the last decades, expanding our comprehension of its role far beyond motor control, including critical contributions to cognition and affective processing. Notably, the cerebellar lateralization mirrors contralateral brain lateralization, a complex phenomenon that remains unexplored, especially across different stages of life. The present work aims to bridge this gap by providing a comprehensive scoping review of the lateralization of motor, cognitive, and affective functioning within the cerebellum across the lifespan. A methodical search in electronic databases (i.e., PubMed, Embase, and PsycINFO) was conducted up to October 2024, focusing on neuroimaging studies with healthy participants of all ages performing motor, cognitive, or affective tasks. Our selection process, which involved multiple independent reviewers, identified 128 studies reporting cerebellar asymmetries in individuals from early childhood to older age, with a significant portion of studies regarding young-middle adults (19-45 years old). The majority of the findings confirmed established lateralization patterns in motor and language processing, such as ipsilateral motor control and right-lateralized language functions. However, less attention has been paid to other cognitive functions and affective processing where more heterogeneous and less consistent asymmetries have been observed. To the best of our knowledge, this scoping review is the first to comprehensively investigate the motor, cognitive, and affective functional lateralization of the cerebellum across lifespan, highlighting previously overlooked dimensions of cerebellar contributions.

Intrahemispheric White Matter Asymmetries and Interhemispheric Connections Underlying the Lateralization of Language Production and Spatial Attention in Left-Handers

Leftward language production and rightward spatial attention are salient features of functional organization in most humans, but their anatomical basis remains unclear. Interhemispheric connections and intrahemispheric white matter asymmetries have been proposed as important factors underlying functional lateralization. To investigate the role of white matter connectivity in functional lateralization, we first identified 96 left-handers using visual half field naming tasks. They were then divided into atypical and typical functional dominance based on the lateralization of brain activation in a word generation task (for language production) and a landmark task (for spatial attention). Using a novel fixel-based framework, we obtained fiber-specific properties of white matter pathways. Results showed, first, that differences between two language dominance groups occurred in the asymmetry of the superior longitudinal fasciculus-III (SLF-III), whereas differences between two spatial attention dominance groups occurred in the rostrum and rostral body of the corpus callosum. However, the directions of functional lateralization were not associated with the directions of white matter asymmetries. Second, the degree of language lateralization was predicted by SLF-III asymmetry and the rostral body of the corpus callosum, whereas the degree of spatial attention lateralization was predicted by the rostrum of the corpus callosum. Notably, the degree of each functional lateralization was negatively correlated with the anterior and middle callosal connections, supporting the excitatory model of the corpus callosum. The results suggest that language lateralization is shaped by a combined effect of intra- and interhemispheric connections, whereas spatial attention lateralization relies more on interhemispheric connections.

Exploring Brain Size Asymmetry and Its Relationship with Predation Risk Among Chinese Anurans

Brain size asymmetry differs considerably across species, including humans, vertebrates, and invertebrates. The subtle structural, functional, or size differences between the two brain sides are associated with processing specific cognitive tasks. To evaluate the differences between the sizes of the left and right sides of the whole brain and brain regions and the effect of predation risk (i.e., snake density) on brain size asymmetry among Chinese anurans, we compared the differences between the left and right hemisphere sizes of the whole brain and brain regions among anuran species and analyzed the correlations between the predation risk and size asymmetry index of the brain and brain regions. We found that when one side of the brain was consistently larger than the other, there was a significant difference between the sizes of the left and right sides of the brain and brain regions, displaying directional asymmetry of the whole brain and brain regions. We also found that total brain size was positively correlated with the size asymmetry index of the olfactory bulb and optic tecta when the left hemispheres of the whole brain and brain regions were larger than the right ones. Meanwhile, the index of telencephalon size asymmetry was positively correlated with predation risk when the right hemispheres of the brain and brain regions were larger than the left ones. However, there were non-significant differences between the sizes of the left and right sides of the brain and brain regions across 99 species of anurans. Our findings suggest that an increased predation risk linked to sociality is likely to drive an increase in right telencephalon size.

Functional and structural brain asymmetries in language processing

The lateralization of language to the left hemisphere of the human brain constitutes one of the classic examples of asymmetry in biology. At the same time, it is also commonly understood that damage to the left hemisphere does not lead to a complete loss of all linguistic abilities. These seemingly contradictory findings indicate that neither our cognitive capacity for language nor its neural substrates are monolithic. This chapter reviews the functional and structural lateralization of the neural substrates of different aspects of language as revealed in the past decades by neuroimaging research. Most aspects of language processing indeed tend to be functionally lateralized to the left hemisphere in the adult human brain. Nevertheless, both hemispheres exhibit a certain equipotentiality with regard to some aspects of language processing, especially with regard to processing meaning and sound. In contrast, the so-called "core language network" in the left hemisphere constitutes a functional and structural asymmetry: This network (i) is crucial for a core aspect of language processing, namely syntax, which refers to the generation of hierarchically structured representations of utterances linking meaning and sound, (ii) matures in accordance with a genetically determined biologic matrix, and (iii) its emergence may have constituted a prerequisite for the evolution of the human language capacity.

Hemispheric asymmetries, paleoneurology, and the evolution of the human genus

Brain asymmetries are a distinctive feature of Homo sapiens and are associated with key evolutionary functions including language and handedness. Nonetheless, differences between humans and apes could be just a matter of degree and size and not the expression of unique traits of our species. In this chapter, I introduce paleoneurology and the study of brain morphology in fossil hominids, reviewing the anatomic factors that can influence the main asymmetries of the endocranial cavity (cortical volumes, sulcal patterns, and craniovascular features). The paleoneurological evidence suggests that most extinct human species displayed a pattern of gross endocranial asymmetries similar to modern humans. In addition, the behavioral information on handedness also points to a similar degree of laterality in archaic species of the human genus and in Neandertals. At present, there is therefore no evidence suggesting that the brain asymmetries in H. sapiens are part of a derived set of features. Of course, even a simple proportional change due to brain size increase can anyway prompt crucial cognitive changes, mostly if threshold effects are considered. Nonetheless, we still lack much information in basic anatomy to support consistent hypotheses on the biologic factors involved in endocranial asymmetries in fossil hominids. This missing information concerns endocranial morphogenesis and topology, spatial conflicts and constraints, the biomechanical balance between cerebral tissues, and the actual histologic changes associated with encephalization.

The relationship between brain and visceral asymmetry: Evidence from situs inversus in humans

This review examines the relationship between visceral and brain asymmetry and explores whether their alignment observed in some vertebrate species also exists in humans. While the development of visceral and brain asymmetry may have occurred for different reasons, it is possible that the basic mechanisms for left-right differentiation of the visceral system were duplicated in the brain. We describe the main phenotypical anomalies and the general mechanism of left-right differentiation in vertebrates, followed by a systematic review of available human studies on behavioral and brain asymmetry in individuals with reversed visceral organization. The available evidence shows no direct link between human visceral and brain laterality. Most individuals with situs inversus totalis (SIT) show typical population biases for handedness and brain functional asymmetry, although an increased prevalence of atypical hemispheric segregation may be present. Perisylvian brain structural asymmetries also reveal the expected population bias in participants with SIT. However, several independent studies indicate that SIT is associated with a general reversal of the gross morphologic asymmetry of brain torque. Potential differences in brain structural and functional asymmetries between subtypes of situs inversus with ciliary and nonciliary causes remain to be determined.

Cerebral asymmetries in schizophrenia

Historically, the first observations of a lower prevalence of right-handed patients among subjects with schizophrenia led to the hypothesis that brain asymmetry could play a significant role in the etiopathogenesis of the disease. Over the last decades, a growing number of findings obtained through many different techniques such as EEG, MEG, MRI, and fMRI, consistently reported reduction/loss of brain asymmetries as a core feature of schizophrenia, further suggesting such alterations to play a cardinal role in the pathogenesis of the disease. Moreover, several cognitive and psychopathologic dimensions have shown significant correlations with the reduced degree of asymmetry. In particular, the absence or even reversal of structural asymmetries has been documented in language-related brain such as the Sylvian fissure and planum temporale. These findings have been reprocessed within an evolutionary and psychopathologic framework pointing at the loss of asymmetry and the consequent language impairment as primum moves in the pathogenesis of schizophrenia. Overall, despite growing evidence demonstrating a heterogeneous and multifaced etiopathogenesis in schizophrenia, the "old concept" of brain asymmetry still offers intriguing hints and thought-provoking elements for clinicians and researchers who deal with schizophrenia.

Large-scale genetic mapping for human brain asymmetry

Left-right asymmetry is an important aspect of human brain organization for functions including language and hand motor control, which can be altered in some psychiatric traits. The last 5 years have seen rapid advances in the identification of specific genes linked to variation in asymmetry of the human brain and/or handedness. These advances have been driven by a new generation of large-scale genome-wide association studies, carried out in samples ranging from roughly 16,000 to over 1.5 million participants. The implicated genes tend to be most active in the embryonic and fetal brain, consistent with early developmental patterning of brain asymmetry. Several of the genes encode components of microtubules or other microtubule-associated proteins. Microtubules are key elements of the internal cellular skeleton (cytoskeleton). A major challenge remains to understand how these genes affect, or even induce, the brain's left-right axis. Several of the implicated genes have also been associated with psychiatric or neurologic disorders, and polygenic dispositions to autism and schizophrenia have been associated with structural brain asymmetry. Knowledge of developmental mechanisms that lead to hemispheric specialization may ultimately help to define etiologic subtypes of brain disorders.

Latent dimensions of brain asymmetry

Functional lateralization represents a fundamental aspect of brain organization, where certain cognitive functions are specialized in one hemisphere over the other. Deviations from typical patterns of lateralization often manifest in various brain disorders, such as autism spectrum disorder, schizophrenia, and dyslexia. However, despite its importance, uncovering the intrinsic properties of brain lateralization and its underlying structural basis remains challenging. On the one hand, functional lateralization has long been oversimplified, often reduced to a unidimensional perspective. For instance, individuals are sometimes labeled as left-brained or right-brained based on specific behavioral measures like handedness and language lateralization. Such a perspective disregards the nuanced subtypes of lateralization, each potentially attributed to distinct factors and associated with unique functional correlates. On the other hand, traditional studies of brain structural asymmetry have typically focused on localized analyses of homologous regions in the two hemispheres. This perspective fails to capture the inherent interplay between brain regions, resulting in an overly complex depiction of structural asymmetry. Such conceptual and methodological discrepancies between studies of functional lateralization and structural asymmetry pose significant obstacles to establishing meaningful links between them. To address this gap, a shift toward uncovering the dimensional structure of brain asymmetry has been proposed. This chapter introduces the concept of latent dimensions of brain asymmetry and provides an up-to-date overview of studies regarding dimensions of functional lateralization and structural asymmetry in the human brain. By transcending the traditional analysis and employing multivariate pattern techniques, these studies offer valuable insights into our understanding of the intricate organizational principles governing the human brain's lateralized functions.

Brain network analysis reveals hemispheric aberrant topology in patients with idiopathic REM sleep behavior disorder

Idiopathic REM sleep behavior disorder (iRBD) is recognized as a prodromal stage of neuro-degenerative disease. While brain network analysis is a well-documented approach for characterizing disease-related dysfunctions, the specific patterns in iRBD, particularly those related to hemispheric aberrations remain largely unexplored. To address this gap, this study investigated the topological abnormalities of multi-band EEG networks in patients with iRBD. Specifically, eyes-open resting-state EEG signals were collected from 30 iRBD patients and 30 matched health control (HC) participants. Graph theoretical analysis was then employed to explore network properties at the whole-brain and the hemispheric level. At the whole-brain level, we found aberrant increased local and global efficiency along with a distinct pattern of increased frontal and decreased parietal nodal efficiency in alpha band of iRBD patients. At the hemispheric level, iRBD networks displayed more efficient topological properties in the left hemisphere. Additionally, significant hemispheric asymmetry was observed in alpha-band iRBD network compared to that of HC. In sum, these findings provide novel insights into the disrupted network reorganization in iRBD and suggest aberrant hemispheric asymmetry as a potential neural biomarker for early diagnosis and monitoring of the disease.

White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient

BACKGROUND

The spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals of the brain's gray matter (GM) have been interpreted as representations of neural activity variations. In previous research, white matter (WM) signals, often considered noise, have also been demonstrated to reflect characteristics of functional activity and interactions among different brain regions. Recently, functional gradients have gained significant attention due to their success in characterizing the functional organization of the whole brain. However, previous studies on brain functional gradients have predominantly focused on GM, neglecting valuable functional information within WM.

METHODS

In this paper, we have elucidated the symmetrical nature of the functional hierarchy in the left and right brain hemispheres in healthy individuals, utilizing the principal functional gradient of the whole-brain WM while also accounting for gender differences.

RESULTS

Interestingly, both males and females exhibit a similar degree of asymmetry in their brain regions, albeit with distinct regional variations. Additionally, we have thoroughly examined and analyzed the distribution of functional gradient values in the spatial structure of the corpus callosum (CC) independently, revealing that a simple one-to-one correspondence between structure and function is absent. This phenomenon may be associated with the intricacy of their internal structural connectivity.

CONCLUSIONS

We suggest that the functional gradients within the WM regions offer a fresh perspective for investigating the structural and functional characteristics of WM and may provide insights into the regulation of neural activity between GM and WM.

Contributions of hemispheric dynamics in visual word recognition: uncovering familiarity effects through lateralized priming

Introduction

This investigation aimed to explore interhemispheric interactions in visual word processing with a focus on proficiency development. Given the asymmetrical specialization in visual word processing across hemispheres, the study hypothesized that the primary hemisphere predominantly regulates interhemispheric interactions. The familiarity effect, serving as a measure of visual word processing proficiency, was examined to determine how proficiency influences these interactions.

Methods

A primed-lateralized lexical decision task with a stimulus onset asynchrony (SOA) of 100 ms was employed. The task involved presenting primes and targets in parafoveal visual fields (left visual field/right visual field) to assess behavioral responses. By manipulating prime and target visual field locations, the study aimed to evaluate both inter- and intrahemispheric interactions during visual word processing.

Results

The findings revealed a significant interhemispheric familiarity effect in response times when the left visual field (LVF)/right hemisphere (RH) served as the prime and the right visual field (RVF)/left hemisphere (LH) as the target. Additionally, a significant intrahemispheric familiarity effect was observed within the LVF/RH condition, suggesting a prominent role of the RH in visual-perceptual processing during the development of visual word recognition proficiency.

Discussion

These results provide compelling evidence for asymmetric specialization between the hemispheres in visual word processing. The significant inter- and intrahemispheric familiarity effects underscore the importance of RH visual-perceptual processing in proficiency development. These insights enhance our understanding of interhemispheric dynamics in the evolution of visual word recognition proficiency, highlighting the complex coordination between hemispheres in facilitating fluent visual word processing.

Normative modeling of brain MRI data identifies small subcortical volumes and associations with cognitive function in youth with fetal alcohol spectrum disorder (FASD)

AIM

To quantify regional subcortical brain volume anomalies in youth with fetal alcohol spectrum disorder (FASD), assess the relative sensitivity and specificity of abnormal volumes in FASD vs. a comparison group, and examine associations with cognitive function.

METHOD

Participants: 47 children with FASD and 39 typically-developing comparison participants, ages 8-17 years, who completed physical evaluations, cognitive and behavioral testing, and an MRI brain scan. A large normative MRI dataset that controlled for sex, age, and intracranial volume was used to quantify the developmental status of 7 bilateral subcortical regional volumes. Z-scores were calculated based on volumetric differences from the normative sample. T-tests compared subcortical volumes across groups. Percentages of atypical volumes are reported as are sensitivity and specificity in discriminating groups. Lastly, Pearson correlations examined the relationships between subcortical volumes and neurocognitive performance.

RESULTS

Participants with FASD demonstrated lower mean volumes across a majority of subcortical regions relative to the comparison group with prominent group differences in the bilateral hippocampi and bilateral caudate. More individuals with FASD (89%) had one or more abnormally small volume compared to 72% of the comparison group. The bilateral hippocampi, bilateral putamen, and right pallidum were most sensitive in discriminating those with FASD from the comparison group. Exploratory analyses revealed associations between subcortical volumes and cognitive functioning that differed across groups.

CONCLUSION

In this sample, youth with FASD had a greater number of atypically small subcortical volumes than individuals without FASD. Findings suggest MRI may have utility in identifying individuals with structural brain anomalies resulting from PAE.

Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome

Diffusion MRI-driven tractography, a non-invasive technique that reveals how the brain is connected, is widely used in brain lateralization studies. To improve the accuracy of tractography in showing the underlying anatomy of the brain, various tractography filtering methods were applied to reduce false positives. Based on different algorithms, tractography filtering methods are able to identify the fibers most consistent with the original diffusion data while removing fibers that do not align with the original signals, ensuring the tractograms are as biologically accurate as possible. However, the impact of tractography filtering on the lateralization of the brain connectome remains unclear. This study aims to investigate the relationship between fiber filtering and laterality changes in brain structural connectivity. Three typical tracking algorithms were used to construct the raw tractography, and two popular fiber filtering methods(SIFT and SIFT2) were employed to filter the tractography across a range of parameters. Laterality indices were computed for six popular biological features, including four microstructural measures (AD, FA, RD, and T1/T2 ratio) and two structural features (fiber length and connectivity) for each brain region. The results revealed that tractography filtering may cause significant laterality changes in more than 10% of connections, up to 25% for probabilistic tracking, and deterministic tracking exhibited minimal laterality changes compared to probabilistic tracking, experiencing only about 6%. Except for tracking algorithms, different fiber filtering methods, along with the various biological features themselves, displayed more variable patterns of laterality change. In conclusion, this study provides valuable insights into the intricate relationship between fiber filtering and laterality changes in brain structural connectivity. These findings can be used to develop improved tractography filtering methods, ultimately leading to more robust and reliable measurements of brain asymmetry in lateralization studies.

Gray Matter Asymmetry Alterations in Patients With Spinocerebellar Ataxia Type 3: A Voxel-Based Morphometric Comparison Study

AIMS

The aim of this study was to investigate the whole-brain asymmetry changes in spinocerebellar ataxia type 3 (SCA3) and their association with movement disorders.

METHODS

Voxel-based morphometry (VBM) was used to assess asymmetry in gray matter (GM) volume in 83 genetically confirmed SCA3 patients and 83 sex- and age-matched healthy controls (HCs). The asymmetry index (AI) was analyzed for partial correlation with disease severity, as measured by the Scale for Assessment and Rating of Ataxia (SARA) and International Cooperative Ataxia Rating Scale (ICARS). Age, sex, and total intracranial volume (TIV) were included as covariates in the analysis.

RESULTS

Asymmetry in GM analysis with SCA3 patients showed decreased leftward asymmetry in cerebellar lobules VIII and IX, the visual cortex, and the putamen, as well as decreased rightward asymmetry in the ventral lateral thalamus, as analyzed by VBM. The AI in the cerebellum, the visual cortex, and the putamen was positively correlated with SARA and ICARS scores, whereas the AI in the thalamus was negatively correlated with these scales.

CONCLUSION

SCA3 patients exhibit distinct patterns of asymmetrical changes in GM volume, which correlates with motor dysfunction. These changes in asymmetry may serve as potential biomarkers for early intervention in SCA3.

TRIAL REGISTRATION

Chinese Clinical Trial Registry (ChiCTR): 1800019901, 2000039434.

Exploring the late maturation of an intrinsic episodic memory network: A resting-state fMRI study

Previous research suggests that episodic memory relies on functional neural networks,which are present even in the absence of an explicit task. The regions that integrate.these networks and the developmental changes in intrinsic functional connectivity.remain elusive. In the present study, we outlined an intrinsic episodic memory network.(iEMN) based on a systematic selection of functional connectivity studies, and.inspected network differences in resting-state fMRI between adolescents (13-17 years.old) and adults (23-27 years old) from the publicly available NKI-Rockland Sample.Through a review of brain regions commonly associated with episodic memory.networks, we identified a potential iEMN composed by 14 bilateral ROIs, distributed.across temporal, frontal and parietal lobes. Within this network, we found an increase.in resting-state connectivity from adolescents to adults between the right temporal pole.and two regions in the right lateral prefrontal cortex. We argue that the coordination of.these brain regions, connecting areas of semantic processing and areas of controlled.retrieval, arises as an important feature towards the full maturation of the episodic.memory system. The findings add to evidence suggesting that adolescence is a key.period in memory development and highlights the role of intrinsic functional.connectivity in such development.

The insular cortex, autonomic asymmetry and cardiovascular control: looking at the right side of stroke

PURPOSE

Evidence from animal and human studies demonstrates that cortical regions play a key role in autonomic modulation with a differential role for some brain regions located in the left and right brain hemispheres. Known as autonomic asymmetry, this phenomenon has been demonstrated by clinical observations, by experimental models, and currently by combined neuroimaging and direct recordings of sympathetic nerve activity. Previous studies report peculiar autonomic-mediated cardiovascular alterations following unilateral damage to the left or right insula, a multifunctional key cortical region involved in emotional processing linked to autonomic cardiovascular control and featuring asymmetric characteristics.

METHODS

Based on clinical studies reporting specific damage to the insular cortex, this review aims to provide an overview of the prognostic significance of unilateral (left or right hemisphere) post-insular stroke cardiac alterations. In addition, we review experimental data aiming to unravel the central mechanisms involved in post-insular stroke cardiovascular complications.

RESULTS AND CONCLUSION

Current clinical and experimental data suggest that stroke of the right insula  can present a worse cardiovascular prognosis.

Cortical neural activity during responses to mechanical perturbation: Effects of hand preference and hand used

Handedness, as measured by self-reported hand preference, is an important feature of human behavioral lateralization that has often been associated with hemispheric specialization. We examined the extent to which hand preference and whether the dominant hand is used or not influence the motor and neural response during voluntary unimanual corrective actions. The experimental task involved controlling a robotic manipulandum to move a cursor from a center start point to a target presented above or below the start. In some trials, a mechanical perturbation of the hand was randomly applied by the robot either consistent or against the target direction, while electroencephalography (EEG) was recorded. Twelve left-handers and ten right-handers completed the experiment. Left-handed individuals had a greater negative peak in the frontal event-related potential (ERP) than right-handed participants during the initial response phase (N150) than right-handed individuals. Furthermore, left-handed individuals showed more symmetrical ERP distributions between two hemispheres than right-handed individuals in the frontal and parietal regions during the late voluntary response phase (P390). To the best of our knowledge, this is the first evidence that demonstrates the differences in the cortical control of voluntary corrective actions between left-handers and right-handers.

Microstructural asymmetry in the human cortex

The human cerebral cortex shows hemispheric asymmetry, yet the microstructural basis of this asymmetry remains incompletely understood. Here, we probe layer-specific microstructural asymmetry using one post-mortem male brain. Overall, anterior and posterior regions show leftward and rightward asymmetry respectively, but this pattern varies across cortical layers. A similar anterior-posterior pattern is observed using in vivo Human Connectome Project (N = 1101) T1w/T2w microstructural data, with average cortical asymmetry showing the strongest similarity with post-mortem-based asymmetry of layer III. Moreover, microstructural asymmetry is found to be heritable, varies as a function of age and sex, and corresponds to intrinsic functional asymmetry. We also observe a differential association of language and markers of mental health with microstructural asymmetry patterns at the individual level, illustrating a functional divergence between inferior-superior and anterior-posterior microstructural axes, possibly anchored in development. Last, we could show concordant evidence with alternative in vivo microstructural measures: magnetization transfer (N = 286) and quantitative T1 (N = 50). Together, our study highlights microstructural asymmetry in the human cortex and its functional and behavioral relevance.

A three-classification model for identifying migraine with right-to-left shunt using lateralization of functional connectivity and brain network topology: a resting-state fMRI study

Introduction

Right-to-left shunting has been significantly associated with migraine, although the neural mechanisms remain complex and not fully elucidated. The aim of this study was to investigate the variability of brain asymmetry in individuals with migraine with right-to-left shunting, migraine without right-to-left shunting and normal controls using resting-state fMRI technology and to construct a three-classification model.

Methods

Firstly, asymmetries in functional connectivity and brain network topology were quantified to laterality indices. Secondly, the laterality indices were employed to construct a three-classification model using decision tree and random forest algorithms. Ultimately, through a feature score analysis, the key brain regions that contributed significantly to the classification were extracted, and the associations between these brain regions and clinical features were investigated.

Results

Our experimental results showed that the initial classification accuracy reached 0.8961. Subsequently, validation using an independent sample set resulted in a classification accuracy of 0.8874. Further, after expanding the samples by the segmentation strategy, the classification accuracies were improved to 0.9103 and 0.9099. Additionally, the third sample set yielded a classification accuracy of 0.8745. Finally, 9 pivotal brain regions were identified and distributed in the default network, the control network, the visual network, the limbic network, the somatomotor network and the salience/ventral attention network.

Discussion

The results revealed distinct lateralization features in the brains of the three groups, which were closely linked to migraine and right-to-left shunting symptoms and could serve as potential imaging biomarkers for clinical diagnosis. Our findings enhanced our understanding of migraine and right-to-left shunting mechanisms and offered insights into assisting clinical diagnosis.

Decreased inter-hemispheric connectivity predicts a coherent retrieval of auditory symbolic material

Investigating the transmission of information between individuals is essential to better understand how humans communicate. Coherent information transmission (i.e., transmission without significant modifications or loss of fidelity) helps preserving cultural traits and traditions over time, while innovation may lead to new cultural variants. Although much research has focused on the cognitive mechanisms underlying cultural transmission, little is known on the brain features which correlates with coherent transmission of information. To address this gap, we combined structural (from high-resolution diffusion imaging) and functional connectivity (from resting-state functional magnetic resonance imaging [fMRI]) with a laboratory model of cultural transmission, the signalling games, implemented outside the MRI scanner. We found that individuals who exhibited more coherence in the transmission of auditory symbolic information were characterized by lower levels of both structural and functional inter-hemispheric connectivity. Specifically, higher coherence negatively correlated with the strength of bilateral structural connections between frontal and subcortical, insular and temporal brain regions. Similarly, we observed increased inter-hemispheric functional connectivity between inferior frontal brain regions derived from structural connectivity analysis in individuals who exhibited lower transmission coherence. Our results suggest that lateralization of cognitive processes involved in semantic mappings in the brain may be related to the stability over time of auditory symbolic systems.

Craniofacial anomalies in schizophrenia-relevant GFAP.HMOX10-12m mice

Subtle craniofacial dysmorphology has been reported in schizophrenia patients. This dysmorphology includes midline facial elongation, frontonasal anomalies and a sexually dimorphic deviation from normal directional asymmetry of the face, with male patients showing reduced and female patients showing enhanced facial asymmetry relative to healthy control subjects. GFAP.HMOX10-12m transgenic mice (Mus musculus) that overexpress heme oxygenase-1 in astrocytes recapitulate many schizophrenia-relevant neurochemical, neuropathological and behavioral features. As morphogenesis of the brain, skull and face are highly interrelated, we hypothesized that GFAP.HMOX10-12m mice may exhibit craniofacial anomalies similar to those reported in persons with schizophrenia. We examined craniofacial anatomy in male GFAP.HMOX10-12m mice and wild-type control mice at the early adulthood age of 6-8 months. We used computer vision techniques for the extraction and analysis of mouse head shape parameters from systematically acquired 2D digital images, and confirmed our results with landmark-based geometric morphometrics. We performed skull bone morphometry using digital calipers to take linear distance measurements between known landmarks. Relative to controls, adult male GFAP.HMOX10-12m mice manifested craniofacial dysmorphology including elongation of the nasal bones, alteration of head shape anisotropy and reduction of directional asymmetry in facial shape features. These findings demonstrate that GFAP.HMOX10-12m mice exhibit craniofacial anomalies resembling those described in schizophrenia patients, implicating heme oxygenase-1 in their development. As a preclinical mouse model, GFAP.HMOX10-12m mice provide a novel opportunity for the study of the etiopathogenesis of craniofacial and other anomalies in schizophrenia and related disorders.

Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury

The black box nature of deep neural networks (DNNs) makes researchers and clinicians hesitant to rely on their findings. Saliency maps can enhance DNN explainability by suggesting the anatomic localization of relevant brain features. This study compares seven popular attribution-based saliency approaches to assign neuroanatomic interpretability to DNNs that estimate biological brain age (BA) from magnetic resonance imaging (MRI). Cognitively normal (CN) adults ( N = 13,394 , 5,900 males; mean age: 65.82 ± 8.89 years) are included for DNN training, testing, validation, and saliency map generation to estimate BA. To study saliency robustness to the presence of anatomic deviations from normality, saliency maps are also generated for adults with mild traumatic brain injury (mTBI, N = 214 , 135 males; mean age: 55.3 ± 9.9 years). We assess saliency methods' capacities to capture known anatomic features of brain aging and compare them to a surrogate ground truth whose anatomic saliency is known a priori. Anatomic aging features are identified most reliably by the integrated gradients method, which outperforms all others through its ability to localize relevant anatomic features. Gradient Shapley additive explanations, input × gradient, and masked gradient perform less consistently but still highlight ubiquitous neuroanatomic features of aging (ventricle dilation, hippocampal atrophy, sulcal widening). Saliency methods involving gradient saliency, guided backpropagation, and guided gradient-weight class attribution mapping localize saliency outside the brain, which is undesirable. Our research suggests the relative tradeoffs of saliency methods to interpret DNN findings during BA estimation in typical aging and after mTBI.

Altered brain complexity in first-episode antipsychotic-naïve patients with schizophrenia: A whole-brain voxel-wise study

BACKGROUND

Measures of cortical topology are believed to characterize large-scale cortical networks. Previous studies used region of interest (ROI)-based approaches with predefined templates that limit analyses to linear pair-wise interactions between regions. As cortical topology is inherently complex, a non-linear dynamic model that measures the brain complexity at the voxel level is suggested to characterize topological complexities of brain regions and cortical folding.

METHODS

T1-weighted brain images of 150 first-episode antipsychotic-naïve schizophrenia (FES) patients and 161 healthy comparison participants (HC) were examined. The Chaos analysis approach was applied to detect alterations in brain structural complexity using the largest Lyapunov exponent (Lambda) as the key measure. Then, the Lambda spatial series was mapped in the frequency domain using the correlation of the Morlet wavelet to reflect cortical folding complexity.

RESULTS

A widespread voxel-wise decrease in Lambda values in space and frequency domains was observed in FES, especially in frontal, parietal, temporal, limbic, basal ganglia, thalamic, and cerebellar regions. The widespread decrease indicates a general loss of brain topological complexity and cortical folding. An additional pattern of increased Lambda values in certain regions highlights the redistribution of complexity measures in schizophrenia at an early stage with potential progression as the illness advances. Strong correlations were found between the duration of untreated psychosis and Lambda values related to the cerebellum, temporal, and occipital gyri.

CONCLUSIONS

Our findings support the notion that defining brain complexity by non-linear dynamic analyses offers a novel approach for identifying structural brain alterations related to the early stages of schizophrenia.

Progression of hippocampal subfield atrophy and asymmetry in Alzheimer's disease

Alzheimer's disease (AD) affects the hippocampus during its progression, but the specific observable changes of hippocampal subfields during disease progression remain poorly understood. In this study, we employed an event-based model (EBM) to determine the sequence of occurrence of hippocampal subfield atrophy in mild cognitive impairment (MCI) and AD cohorts. Subjects (207) were included: 86 MCI, 53 AD, and 68 healthy controls from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Participants underwent structural magnetic resonance imaging (MRI) scans to analyse the hippocampal subfields. We assigned each patient to a specific EBM stage, based on the number of their abnormal subfields. A combination of 2-year follow-up MRI scans were applied to demonstrate the longitudinal consistency and utility of the model's staging system. The model estimated that the earliest atrophy occurs in the hippocampal fissure, then spreading to other subregions in both MCI and AD. We identified a marked divergence between the sequences of left and right hippocampal subfields atrophy, so inter-hemispheric asymmetry pattern was further analysed. The sequence of asymmetry index (AI) increases beginning in the molecular and granule cell layers of the dentate gyrus (GC-ML-DG), cornus ammonis (CA) 4, and the molecular layer (ML). Longitudinal analysis confirms the efficacy of the model. In addition, the model stages were significantly correlated with patients' memory scores (p < .05). Collectively, we used a data-driven method to provide new insight into AD hippocampal progression. The present model could aid in understanding of the disease stages, as well as tracking memory decline.

Plastic reorganization of the topological asymmetry of hemispheric white matter networks induced by congenital visual experience deprivation

Congenital blindness offers a unique opportunity to investigate human brain plasticity. The influence of congenital visual loss on the asymmetry of the structural network remains poorly understood. To address this question, we recruited 21 participants with congenital blindness (CB) and 21 age-matched sighted controls (SCs). Employing diffusion and structural magnetic resonance imaging, we constructed hemispheric white matter (WM) networks using deterministic fiber tractography and applied graph theory methodologies to assess topological efficiency (i.e., network global efficiency, network local efficiency, and nodal local efficiency) within these networks. Statistical analyses revealed a consistent leftward asymmetry in global efficiency across both groups. However, a different pattern emerged in network local efficiency, with the CB group exhibiting a symmetric state, while the SC group showed a leftward asymmetry. Specifically, compared to the SC group, the CB group exhibited a decrease in local efficiency in the left hemisphere, which was caused by a reduction in the nodal properties of some key regions mainly distributed in the left occipital lobe. Furthermore, interhemispheric tracts connecting these key regions exhibited significant structural changes primarily in the splenium of the corpus callosum. This result confirms the initial observation that the reorganization in asymmetry of the WM network following congenital visual loss is associated with structural changes in the corpus callosum. These findings provide novel insights into the neuroplasticity and adaptability of the brain, particularly at the network level.