A call for more clarity around causality in neuroscience DOI Creative Commons
David L. Barack, Earl K. Miller, Christopher I. Moore

et al.

Trends in Neurosciences, Journal Year: 2022, Volume and Issue: 45(9), P. 654 - 655

Published: July 6, 2022

Language: Английский

Brain network communication: concepts, models and applications DOI
Caio Seguin, Olaf Sporns, Andrew Zalesky

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(9), P. 557 - 574

Published: July 12, 2023

Language: Английский

Citations

129

Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders DOI Creative Commons
Ashlea Segal, Linden Parkes, Kevin Aquino

et al.

Nature Neuroscience, Journal Year: 2023, Volume and Issue: 26(9), P. 1613 - 1629

Published: Aug. 14, 2023

The substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case-control research, which relies on group mean comparisons. Here we present a comprehensive, multiscale characterization of the gray matter volume (GMV) differences in 1,294 cases diagnosed one six conditions (attention-deficit/hyperactivity disorder, autism spectrum bipolar depression, obsessive-compulsive disorder and schizophrenia) 1,465 matched controls. Normative models indicated person-specific deviations from population expectations for regional GMV were highly heterogeneous, affecting same area <7% diagnosis. However, these embedded within common functional circuits networks up to 56% cases. salience-ventral attention system was implicated transdiagnostically, other systems selectively involved schizophrenia attention-deficit/hyperactivity disorder. Phenotypic between assigned diagnosis may thus arise heterogeneous localization specific deviations, whereas phenotypic similarities be attributable dysfunction networks.

Language: Английский

Citations

111

A transdiagnostic network for psychiatric illness derived from atrophy and lesions DOI
Joseph J. Taylor, Christopher Lin, Daniel Talmasov

et al.

Nature Human Behaviour, Journal Year: 2023, Volume and Issue: 7(3), P. 420 - 429

Published: Jan. 12, 2023

Language: Английский

Citations

56

Mapping Lesion-Related Epilepsy to a Human Brain Network DOI Creative Commons
Frédéric Schaper, Janne Nordberg, Alexander L. Cohen

et al.

JAMA Neurology, Journal Year: 2023, Volume and Issue: 80(9), P. 891 - 891

Published: July 3, 2023

Importance It remains unclear why lesions in some locations cause epilepsy while others do not. Identifying the brain regions or networks associated with by mapping these could inform prognosis and guide interventions. Objective To assess whether lesion map to specific networks. Design, Setting, Participants This case-control study used location network identify a discovery data set of patients poststroke control stroke. Patients stroke (n = 76) no 625) were included. Generalizability other types was assessed using 4 independent cohorts as validation sets. The total numbers across all datasets (both datasets) 347 1126 without. Therapeutic relevance deep stimulation sites that improve seizure control. Data analyzed from September 2018 through December 2022. All shared patient included; excluded. Main Outcomes Measures Epilepsy epilepsy. Results Lesion 76 (39 [51%] male; mean [SD] age, 61.0 [14.6] years; follow-up, 6.7 [2.0] years) 625 (366 [59%] 62.0 [14.1] follow-up range, 3-12 months) included set. Lesions occurred multiple heterogenous spanning different lobes vascular territories. However, same part defined functional connectivity basal ganglia cerebellum. Findings validated including 772 (271 [35%] epilepsy; 515 [67%] median [IQR] 60 [50-70] 3-35 years). this increased risk after (odds ratio [OR], 2.82; 95% CI, 2.02-4.10; P &amp;lt; .001) (OR, 2.85; 2.23-3.69; .001). Deep site improved ( r , 0.63; 30 drug-resistant (21 [70%] 39 [32-46] 24 [16-30] months). Conclusions Relevance findings indicate lesion-related mapped human network, which help at therapies.

Language: Английский

Citations

53

Functional connectomics in depression: insights into therapies DOI Creative Commons
Ya Chai, Yvette I. Sheline, Desmond J. Oathes

et al.

Trends in Cognitive Sciences, Journal Year: 2023, Volume and Issue: 27(9), P. 814 - 832

Published: June 5, 2023

Language: Английский

Citations

52

Mapping dysfunctional circuits in the frontal cortex using deep brain stimulation DOI Creative Commons
Barbara Hollunder, Jill L. Ostrem, Ilkem Aysu Sahin

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(3), P. 573 - 586

Published: Feb. 22, 2024

Abstract Frontal circuits play a critical role in motor, cognitive and affective processing, their dysfunction may result variety of brain disorders. However, exactly which frontal domains mediate (dys)functions remains largely elusive. We studied 534 deep stimulation electrodes implanted to treat four different By analyzing connections were modulated for optimal therapeutic response across these disorders, we segregated the cortex into that had become dysfunctional each them. Dysfunctional topographically arranged from occipital frontal, ranging interconnections with sensorimotor cortices dystonia, primary motor Tourette’s syndrome, supplementary area Parkinson’s disease, ventromedial prefrontal anterior cingulate obsessive-compulsive disorder. Our findings highlight integration connectomics as powerful tool explore couplings between structure functional impairments human brain.

Language: Английский

Citations

49

Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor DOI
Chunhua Wang, Junhui Liang, Quanli Deng

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 178, P. 106408 - 106408

Published: May 22, 2024

Language: Английский

Citations

46

Discovering causal relations and equations from data DOI Creative Commons
Gustau Camps‐Valls, Andreas Gerhardus, Urmi Ninad

et al.

Physics Reports, Journal Year: 2023, Volume and Issue: 1044, P. 1 - 68

Published: Nov. 7, 2023

Physics is a field of science that has traditionally used the scientific method to answer questions about why natural phenomena occur and make testable models explain phenomena. Discovering equations, laws, principles are invariant, robust, causal been fundamental in physical sciences throughout centuries. Discoveries emerge from observing world and, when possible, performing interventions on system under study. With advent big data data-driven methods, fields equation discovery have developed accelerated progress computer science, physics, statistics, philosophy, many applied fields. This paper reviews concepts, relevant works broad physics outlines most important challenges promising future lines research. We also provide taxonomy for discovery, point out connections, showcase comprehensive case studies Earth climate sciences, fluid dynamics mechanics, neurosciences. review demonstrates discovering laws relations by revolutionised with efficient exploitation observational simulations, modern machine learning algorithms combination domain knowledge. Exciting times ahead opportunities improve our understanding complex systems.

Language: Английский

Citations

45

Causation in neuroscience: keeping mechanism meaningful DOI
Lauren N. Ross,

Dani S. Bassett

Nature reviews. Neuroscience, Journal Year: 2024, Volume and Issue: 25(2), P. 81 - 90

Published: Jan. 11, 2024

Language: Английский

Citations

37

Chronometric TMS-fMRI of personalized left dorsolateral prefrontal target reveals state-dependency of subgenual anterior cingulate cortex effects DOI Creative Commons
Sarah Grosshagauer, Michael Woletz, Maria Vasileiadi

et al.

Molecular Psychiatry, Journal Year: 2024, Volume and Issue: 29(9), P. 2678 - 2688

Published: March 26, 2024

Transcranial magnetic stimulation (TMS) applied to a left dorsolateral prefrontal cortex (DLPFC) area with specific connectivity profile the subgenual anterior cingulate (sgACC) has emerged as highly effective non-invasive treatment option for depression. However, antidepressant outcomes demonstrate significant variability among therapy plans and individuals. One overlooked contributing factor is individual brain state at time of treatment. In this study we used interleaved TMS-fMRI investigate influence on acute TMS effects, both locally remotely. was performed during rest different phases cognitive task processing. Twenty healthy participants were included in study. first session, imaging data targeting acquired, allowing identification individualized targets DLPFC based highest anti-correlation sgACC. The second session involved chronometric measurements, 10 Hz triplets administered distinct timings an N-back task. Consistent prior findings, revealed BOLD activation changes targeted network. precise timing relative states demonstrated response clinically relevant regions, including Employing standardized approach using more consistent modulation sgACC group level compared rest. conclusion, our findings strongly suggest that local remote effects are influenced by stimulation. This establishes basis considering designing protocols, possibly improving outcomes.

Language: Английский

Citations

18