Mapping Symptoms to Brain Networks with the Human Connectome

New England Journal of Medicine, Journal Year: 2018, Volume and Issue: 379(23), P. 2237 - 2245

Published: Dec. 5, 2018

Complex neurologic and psychiatric syndromes cannot be understood on the basis of focal brain lesions. Functional neuroimaging, maps interrelated regions called connectome, combination lesion analysis with networks connectome offer a new way to understand function disease.

Language: Английский

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Advanced lesion symptom mapping analyses and implementation as BCBtoolkit

GigaScience, Journal Year: 2018, Volume and Issue: 7(3)

Published: Feb. 8, 2018

Patients with brain lesions provide a unique opportunity to understand the functioning of human mind. However, even when focal, have local and remote effects that impact functionally structurally connected circuits. Similarly, function emerges from interaction between areas rather than their sole activity. For instance, category fluency requires associations executive, semantic, language production functions.Here, we provide, for first time, set complementary solutions measuring given lesion on neuronal Our methods, which were applied 37 patients focal frontal lesions, revealed large directly indirectly disconnected regions had significantly impacted performance. The corresponded are classically considered as engaged in verbal categorization tasks. These also organized into larger functional networks, including left ventral fronto-parietal network, whose cortical thickness correlated performance fluency.The combination structural connectivity together estimates reveal identification affected strengthen our understanding relationship cognitive behavioral measures. methods presented available freely accessible BCBtoolkit supplementary software [1].

Language: Английский

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The emergent properties of the connected brain

Science, Journal Year: 2022, Volume and Issue: 378(6619), P. 505 - 510

Published: Nov. 3, 2022

There is more to brain connections than the mere transfer of signals between regions. Behavior and cognition emerge through cortical area interaction. This requires integration local distant areas orchestrated by densely connected networks. Brain determine brain's functional organization. The imaging in living has provided an opportunity identify driving factors behind neurobiology cognition. Connectivity differences species among humans have furthered understanding evolution diverging cognitive profiles. pathologies amplify this variability disconnections and, consequently, disintegration functions. prediction long-term symptoms now preferentially based on disconnections. paradigm shift will reshape our maps challenge current models.

Language: Английский

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Post-stroke deficit prediction from lesion and indirect structural and functional disconnection

Brain, Journal Year: 2020, Volume and Issue: 143(7), P. 2173 - 2188

Published: May 21, 2020

Abstract Behavioural deficits in stroke reflect both structural damage at the site of injury, and widespread network dysfunction caused by structural, functional, metabolic disconnection. Two recent methods allow for estimation functional disconnection from clinical imaging. This is achieved embedding a patient’s lesion into an atlas connections healthy subjects, deriving ensemble that pass through lesion, thus indirectly estimating its impact on whole brain connectome. indirect assessment more readily available than direct measures connectivity obtained with diffusion MRI, respectively, it theory applicable to wide variety disorders. To validate relevance these methods, we quantified prediction behavioural prospective cohort 132 first-time patients studied 2 weeks post-injury (mean age 52.8 years, range 22–77; 63 females; 64 right hemispheres). Specifically, used multivariate ridge regression relate multiple domains (left visual, left motor, language, spatial attention, verbal memory) pattern or In subgroup patients, also measured alterations resting-state MRI. Both maps were predictive impairment all (0.16 < R2 0.58) except memory (0.05 0.06). Prediction was scarce negligible (0.01 0.18) visual field (R2 = 0.38), even though anatomically plausible domains. MRI subset clearly superior conclusion, successfully predicted post-stroke level comparable information. However, did not predict deficits, nor substitute measurements, especially cognitive

Language: Английский

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Diffusion-tensor imaging of major white matter tracts and their role in language processing in aphasia

Cortex, Journal Year: 2016, Volume and Issue: 85, P. 165 - 181

Published: May 4, 2016

Language: Английский

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Revisiting the Functional Anatomy of the Human Brain: Toward a Meta-Networking Theory of Cerebral Functions

Physiological Reviews, Journal Year: 2020, Volume and Issue: 100(3), P. 1181 - 1228

Published: Feb. 20, 2020

For more than one century, brain processing was mainly thought in a localizationist framework, which given function underpinned by discrete, isolated cortical area, and with similar cerebral organization across individuals. However, advances mapping techniques humans have provided new insights into the organizational principles of anatomo-functional architecture. Here, we review recent findings gained from neuroimaging, electrophysiological, as well lesion studies. Based on these data connectome, challenge traditional, outdated view propose an alternative meta-networking theory. This model holds that complex cognitions behaviors arise spatiotemporal integration distributed but relatively specialized networks underlying conation cognition (e.g., language, spatial cognition). Dynamic interactions between such circuits result perpetual succession equilibrium states, opening door to considerable interindividual behavioral variability neuroplastic phenomena. Indeed, underlies uniquely human propensity learn abilities, also explains how postlesional reshaping can lead some degrees functional compensation brain-damaged patients. We discuss major implications this approach fundamental neurosciences for clinical developments, especially neurology, psychiatry, neurorehabilitation, restorative neurosurgery.

Language: Английский

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Brain networks and their relevance for stroke rehabilitation

Clinical Neurophysiology, Journal Year: 2019, Volume and Issue: 130(7), P. 1098 - 1124

Published: April 15, 2019

Language: Английский

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Brain disconnections link structural connectivity with function and behaviour

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: Oct. 9, 2020

Abstract Brain lesions do not just disable but also disconnect brain areas, which once deprived of their input or output, can no longer subserve behaviour and cognition. The role white matter connections has remained an open question for the past 250 years. Based on 1333 stroke lesions, here we reveal human Disconnectome demonstrate its relationship to functional segregation brain. Results indicate that territories are only defined by connections, highly stereotyped spatial distribution disconnections. While former granted us possibility map 590 functions whole brain, latter compels a revision taxonomy functions. Overall, our freely available Atlas White Matter Function will enable improved clinical-neuroanatomical predictions lesion studies provide platform explorations in domain

Language: Английский

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Brain lesions disrupting addiction map to a common human brain circuit

Nature Medicine, Journal Year: 2022, Volume and Issue: 28(6), P. 1249 - 1255

Published: June 1, 2022

Abstract Drug addiction is a public health crisis for which new treatments are urgently needed. In rare cases, regional brain damage can lead to remission. These cases may be used identify therapeutic targets neuromodulation. We analyzed two cohorts of patients addicted smoking at the time focal (cohort 1 n = 67; cohort 2 62). Lesion locations were mapped atlas and network functionally connected each lesion location was computed using human connectome data ( 1,000). Associations with remission identified. Generalizability assessed an independent alcohol risk scores 186). Specificity through comparison 37 other neuropsychological variables. Lesions disrupting occurred in many different but characterized by specific pattern connectivity. This involved positive connectivity dorsal cingulate, lateral prefrontal cortex, insula negative medial temporal cortex. circuit reproducible across cohorts, associated reduced risk, metrics. Hubs that best matched profile paracingulate gyrus, left frontal operculum, fronto-polar conclude lesions map hubs this provide testable

Language: Английский

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Post-stroke outcomes predicted from multivariate lesion-behaviour and lesion network mapping

Brain, Journal Year: 2022, Volume and Issue: 145(4), P. 1338 - 1353

Published: Jan. 10, 2022

Abstract Clinicians and scientists alike have long sought to predict the course severity of chronic post-stroke cognitive motor outcomes, as ability do so would inform treatment rehabilitation strategies. However, it remains difficult make accurate predictions about outcomes due, in large part, high inter-individual variability recovery a reliance on clinical heuristics rather than empirical methods. The neuroanatomical location stroke is key variable associated with long-term because lesion can be derived from routinely collected neuroimaging data there an opportunity use this information empirically based deficits. For example, compared statistically weighted multivariate lesion-behaviour maps regions that, when damaged, are specific deficits aggregated outcome cohorts. Here, our goal was evaluate whether we leverage two cohorts individuals focal brain lesions 12-month independent sample patients. Further, evaluated could augment these by estimating structural functional networks disrupted association each map through network mapping, which normative connectivity neurologically healthy elucidate lesion-associated networks. We using anatomical strongest impairment for results. These peak regional findings became ‘seeds’ generate networks, approach that offers potentially greater precision previously used single-lesion approaches. Next, sample, quantified overlap mapping how much variance explain behavioural latent growth curve statistical model. found lesion-deficit modality able significant amount outcomes. Both were beyond mapping. Functional performed best prediction language deficits, Altogether, results support notion combined improve at 12-months.

Language: Английский

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