Disrupted Hierarchical Functional Brain Organization in Affective and Psychotic Disorders: Insights from Functional Brain Gradients DOI
Joseph Kambeitz,

H. Häcker,

Linnea Hoheisel

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Patients with psychosis and depression show widespread alterations in brain resting-state functional connectivity (rs-FC), affecting both sensory higher-order regions. In this study, we investigate disruptions the hierarchical organization of networks patients psychotic affective disorders. We derived gradients, low dimensional representations rs-FC that capture cortical hierarchy, a large patient sample including clinical high-risk for (CHR-P) patients, recent-onset (ROP) (ROD) healthy controls (HC). examined regional alterations, network-level differentiation their relationship to symptoms. addition, linked case-control differences receptor expression maps explore underlying neurobiological mechanisms. All groups exhibited visual-to-sensorimotor gradient, while only ROP showed association-to-sensory gradient. CHR-P lower values ventral attention network. Additionally, combined higher somatomotor network, reduced gradient range altered between-network dispersion. ROD within-network dispersion attentional range. Correlational analysis revealed weak associations measures functioning, visual dysfunctions cognition. Furthermore maps, suggesting involvement neurotransmitter systems these disruptions. Our findings reveal transdiagnostic disease-specific organization. These indicate deficits integration across psychiatric diseases, highlighting role disease processes.

Language: Английский

Connectome reorganization associated with temporal lobe pathology and its surgical resection DOI Creative Commons
Sara Larivière, Bo‐yong Park, Jessica Royer

et al.

Brain, Journal Year: 2024, Volume and Issue: 147(7), P. 2483 - 2495

Published: May 3, 2024

Network neuroscience offers a unique framework to understand the organizational principles of human brain. Despite recent progress, our understanding how brain is modulated by focal lesions remains incomplete. Resection temporal lobe most effective treatment control seizures in pharmaco-resistant epilepsy (TLE), making this syndrome powerful model study lesional effects on network organization young and middle-aged adults. Here, we assessed downstream consequences lesion its surgical resection brain's structural connectome, explored reorganization relates clinical variables at individual patient level. We included adults with TLE (n = 37) who underwent anterior lobectomy between two imaging time points, as well age- sex-matched healthy controls comparable 31). Core analysis was projection high-dimensional connectome data-derived from diffusion MRI tractography each subject-into lower-dimensional gradients. then compared gradients patients relative before surgery, tracked surgically-induced reconfiguration pre- postoperative examined associations patient-specific phenotypes. Before individuals presented marked changes bilateral temporo-parietal regions, reflecting an increased segregation ipsilateral rest Surgery-induced localized subnetwork, but primarily involved integration contralateral regions Using partial least-squares analysis, uncovered latent signature underlying reorganization, showing that displayed fronto-occipital cortices also had greater preoperative hippocampal atrophy, lower seizure frequency secondarily generalized seizures. Our results bridge their resections large-scale interindividual variability, thus offering new avenues examine fundamental malleability

Language: Английский

Citations

5
Brain Networks for Cortical Atrophy and Responsive Neurostimulation in Temporal Lobe Epilepsy DOI
Sara Larivière, Frédéric Schaper, Jessica Royer

et al.

JAMA Neurology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Importance Drug-resistant temporal lobe epilepsy (TLE) has been associated with hippocampal pathology. Most surgical treatment strategies, including resection and responsive neurostimulation (RNS), focus on this disease epicenter; however, imaging alterations distant from the hippocampus, as well emerging data trials, suggest conceptualizing TLE a network disorder. Objective To assess whether brain networks connected to areas of atrophy in hippocampus align topography neuroimaging RNS response. Design, Setting, Participants This retrospective case-control study was conducted between July 2009 June 2022. Data collection for multicenter, population-based took place across 4 tertiary referral centers Montréal, Canada; Querétaro, México; Nanjing, China; Salt Lake City, Utah. Eligible patients were diagnosed according International League Against Epilepsy criteria received either or hippocampus. Patients encephalitis, traumatic injury, bilateral excluded. Main Outcomes Measures Spatial alignment topographies. Results Of 110 eligible patients, 94 individuals analyzed (51 [54%] female; mean [SD] age, 31.3 [10.9] years). Hippocampal thickness maps compared 120 healthy control (66 [55%] 29.8 [9.5] years), identified. Using an atlas normative connectivity (n = 1000), 2 identified that functionally atrophy. The first defined by positive correlations temporolimbic, medial prefrontal, parietal regions, whereas second negative frontoparietal regions. White matter changes colocalized ( t 93 –3.82; P 2.44 × 10 −4 ). In contrast, cortical localized 3.54; 6.29 −3 additional 38 (20 [53%] 35.8 [11.3] years) treated RNS, stimulation site atrophied regions within seizure reduction 212 −2.74; .007). Conclusions Relevance findings indicate distributed pathology may occur epicenter. Connectivity these same improvement following RNS. A approach reveal therapeutic targets outside traditional target

Language: Английский

Citations

5
Comparison of different group-level templates in gradient-based multimodal connectivity analysis DOI Creative Commons

Sunghun Kim,

Seulki Yoo,

Ke Xie

et al.

Network Neuroscience, Journal Year: 2024, Volume and Issue: 8(4), P. 1009 - 1031

Published: Jan. 1, 2024

Abstract The study of large-scale brain connectivity is increasingly adopting unsupervised approaches that derive low-dimensional spatial representations from high-dimensional connectomes, referred to as gradient analysis. When translating this approach interindividual variations in connectivity, one technical issue pertains the selection an appropriate group-level template which individual gradients are aligned. Here, we compared different construction strategies using functional and structural connectome data neurotypical controls individuals with autism spectrum disorder (ASD) identify between-group differences. We studied multimodal magnetic resonance imaging obtained Autism Brain Imaging Data Exchange (ABIDE) Initiative II Human Connectome Project (HCP). designed six varied whether (1) they included typical addition ASD; or (2) mapped dataset onto another. found aligning a combined subject ASD control subjects ABIDE HCP exhibited most pronounced effect size. This strategy showed robust identification ASD-related regions for both across settings. Replicating findings on focal epilepsy demonstrated generalizability our approach. Our will contribute improving gradient-based research.

Language: Английский

Citations

4
The impact of heterogeneous spatial autocorrelation on comparisons of brain maps DOI Creative Commons
Robert Leech,

JS Smallwood,

Rosalyn Moran

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 14, 2024

Abstract It is increasingly common to statistically compare macroscopic brain maps assess how spatially similar they are. Due the presence of spatial autocorrelation, statistical inference can be challenging; address this, random permutation approaches based on null models are widely used. Here, we show that heterogeneity in autocorrelation across may affect for correlated maps. In response, highlight need explicitly model processes, including non-stationarity, more accurate inference. We illustrate a Bayesian regression approach applied functional and structural cortical maps, even heterogeneity. By modelling processes underlying data, much wider sophisticated range neurobiological questions answered about relationship between than with current approaches.

Language: Английский

Citations

4
Late-onset temporal lobe epilepsy: insights from brain atrophy and Alzheimer’s disease biomarkers DOI
Alice Ballerini, Niccolò Biagioli, Chiara Carbone

et al.

Brain, Journal Year: 2024, Volume and Issue: unknown

Published: June 23, 2024

Abstract Considering the growing age of world population, incidence epilepsy in older adults is expected to increase significantly. It has been suggested that late-onset temporal lobe (LO-TLE) may be neurodegenerative origin and overlap with Alzheimer’s disease (AD). Herein, we aimed characterize pattern cortical atrophy CSF biomarkers AD (total phosphorylated tau amyloid-β) a selected population LO-TLE unknown origin. We prospectively enrolled individuals onset after 50 no cognitive impairment. They underwent structural MRI scan measurement. Imaging data were compared three retrospectively collected groups: (i) age-sex-matched healthy controls; (ii) patients mild impairment (MCI) abnormal (MCI-AD); (iii) MCI normal (MCI-noAD). From pool 52 patients, 20 consecutive eligible mean duration 1.8 years recruited. As control populations, 25 MCI-AD, MCI-noAD controls enrolled. returned values LO-TLE, significantly different from due AD. There differences cortico-subcortical between controls, while demonstrated widespread injuries structures. Individuals characterized by short amyloid-β protein levels, showed patterns thickness subcortical volumes not but highly MCI, either or not.

Language: Английский

Citations

4
Temporal Lobe Epilepsy Perturbs the Brain‐Wide Excitation‐Inhibition Balance: Associations with Microcircuit Organization, Clinical Parameters, and Cognitive Dysfunction DOI Creative Commons
Ke Xie, Jessica Royer, Raúl Rodríguez‐Cruces

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Abstract Excitation‐inhibition (E/I) imbalance is theorized as a key mechanism in the pathophysiology of epilepsy, with ample research focusing on elucidating its cellular manifestations. However, few studies investigate E/I at macroscale, whole‐brain level, and microcircuit‐level mechanisms clinical significance remain incompletely understood. Here, Hurst exponent, an index ratio, computed from resting‐state fMRI time series, microcircuit parameters are simulated using biophysical models. A broad decrease exponent observed pharmaco‐resistant temporal lobe epilepsy (TLE), suggesting more excitable network dynamics. Connectome decoders point to temporolimbic frontocentral cortices plausible epicenters imbalance. Furthermore, computational simulations reveal that enhancing cortical excitability TLE reflects atypical increases recurrent connection strength local neuronal ensembles. Mixed cross‐sectional longitudinal analyses show stronger ratio elevation patients longer disease duration, frequent electroclinical seizures well interictal epileptic spikes, worse cognitive functioning. exponent‐informed classifiers discriminate healthy controls high accuracy (72.4% [57.5%–82.5%]). Replicated independent dataset, this work provides vivo evidence macroscale shift balance points progressive functional imbalances relate decline.

Language: Английский

Citations

0
Associations between epilepsy-related polygenic risk and brain morphology in childhood DOI Creative Commons
Alexander Ngo, L W Liu, Sara Larivière

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

A bstract Temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) is associated a complex genetic architecture, but the translation from risk factors to brain vulnerability remains unclear. Here, we examined associations between epilepsy-related polygenic scores for HS (PRS-HS) and structure in large sample of neurotypical children, correlated these signatures case-control findings multicentric cohorts patients TLE-HS. Imaging-genetic analyses revealed PRS-related cortical thinning temporo-parietal fronto-central regions, strongly anchored distinct functional structural network epicentres. Compared disease-related effects derived cohorts, correlates PRS-HS mirrored atrophy epicentre patterns By identifying potential pathway disease mechanisms, our provide new insights into underpinnings alterations TLE-HS highlight imaging-genetic biomarkers early stratification personalized interventions.

Language: Английский

Citations

0
Disruption of structural connectome hierarchy in age-related hearing loss DOI Creative Commons

Yi Zhen,

Hongwei Zheng, Yi Zheng

et al.

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: March 17, 2025

Age-related hearing loss (ARHL) is a common sensory disability among older adults and considered risk factor for the development of dementia. Previous work has shown altered brain connectome topology in ARHL, including abnormal nodal strength clustering coefficient. However, whether ARHL affects hierarchical organization structural how these alterations relate to transcriptomic signatures remain unknown. Here, we apply gradient mapping framework derived from diffusion magnetic resonance imaging. We focus on first three gradients that reflect distinct connectome, assess ARHL-related changes. find that, compared controls, patients exhibit widespread disruptions organization, spanning primary areas (e.g., somatomotor network) high-order association default mode network). Subsequently, by employing subcortical-weighted weighting cortical subcortical-cortical connectivity, observe show significantly connectivity left caudate, nucleus accumbens, right hippocampus, amygdala. Finally, investigate relationship between gene expression gradients. are associated with weighted profiles, relevant genes preferentially enriched inorganic ion transmembrane transport terms related regulating biological processes. Taken together, findings highlight hierarchy reveal relevance abnormalities, contributing richer understanding neurobiological substrates ARHL.

Language: Английский

Citations

0
Mapping the topographic organization of the human zona incerta using diffusion MRI DOI Open Access
Roy A.M. Haast, Jason Kai, Alaa Taha

et al.

Published: Feb. 3, 2025

The zona incerta (ZI) is a deep brain region originally described by Auguste Forel as an “immensely confusing area about which nothing can be said.” Despite the elusive nature of this structure, mounting evidence supports role ZI and surrounding regions across diverse range functions candidate target for neuromodulatory therapies. Using in vivo diffusion MRI data-driven connectivity, we identify topographic organization between neocortex. Specifically, our methods rostral-caudal gradient predominantly connecting frontopolar ventral prefrontal cortices with rostral ZI, primary sensorimotor caudal ZI. Moreover, demonstrate how clustering approaches build complementary including facilitating mapping central connected dorsal cortex. These results were shown to replicable multiple datasets at individual subject level, building important mediating frontal lobe-associated tasks, ranging from motor cognitive emotional control. Finally, consider impact on refinement targets. pave way increasingly detailed understanding substructures, considerations targeting neuromodulation.

Language: Английский

Citations

0
Mapping the topographic organization of the human zona incerta using diffusion MRI DOI Open Access
Roy A.M. Haast, Jason Kai, Alaa Taha

et al.

Published: Feb. 3, 2025

The zona incerta (ZI) is a deep brain region originally described by Auguste Forel as an “immensely confusing area about which nothing can be said.” Despite the elusive nature of this structure, mounting evidence supports role ZI and surrounding regions across diverse range functions candidate target for neuromodulatory therapies. Using in vivo diffusion MRI data-driven connectivity, we identify topographic organization between neocortex. Specifically, our methods rostral-caudal gradient predominantly connecting frontopolar ventral prefrontal cortices with rostral ZI, primary sensorimotor caudal ZI. Moreover, demonstrate how clustering approaches build complementary including facilitating mapping central connected dorsal cortex. These results were shown to replicable multiple datasets at individual subject level, building important mediating frontal lobe-associated tasks, ranging from motor cognitive emotional control. Finally, consider impact on refinement targets. pave way increasingly detailed understanding substructures, considerations targeting neuromodulation.

Language: Английский

Citations

0