An empirical comparison of univariate versus multivariate methods for the analysis of brain–behavior mapping DOI Creative Commons
Maria V. Ivanova, Timothy J. Herron, Nina F. Dronkers

et al.

Human Brain Mapping, Journal Year: 2020, Volume and Issue: 42(4), P. 1070 - 1101

Published: Nov. 20, 2020

Abstract Lesion symptom mapping (LSM) tools are used on brain injury data to identify the neural structures critical for a given behavior or symptom. Univariate lesion (ULSM) methods provide statistical comparisons of behavioral test scores in patients with and without voxel by basis. More recently, multivariate (MLSM) have been developed that consider effects all lesioned voxels one model simultaneously. In current study, we much‐needed systematic comparison several ULSM MLSM methods, using both synthetic real potential strengths weaknesses approaches. We tested spatial precision each LSM method single dual (network type) anatomical target simulations across location, sample size, noise level, smoothing. Additionally, performed false positive characteristics associated method's spurious findings. Simulations showed no clear superiority either overall, but rather highlighted specific advantages different methods. No produced thresholded map exclusively delineated regions behavior. Thus, indicated, depending particular study design, hypotheses, size. Overall, recommend use tandem enhance confidence results: Brain foci identified as significant types unlikely be can confidently reported robust results.

Language: Английский

Mapping Symptoms to Brain Networks with the Human Connectome DOI
Michael Fox

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

Citations

530
Strategic infarct locations for post-stroke cognitive impairment: a pooled analysis of individual patient data from 12 acute ischaemic stroke cohorts DOI
Nick A. Weaver, Hugo J. Kuijf, Hugo P. Aben

et al.

The Lancet Neurology, Journal Year: 2021, Volume and Issue: 20(6), P. 448 - 459

Published: April 23, 2021

Language: Английский

Citations

208
A Human Depression Circuit Derived From Focal Brain Lesions DOI
Jaya Padmanabhan, Danielle Cooke, Juho Joutsa

et al.

Biological Psychiatry, Journal Year: 2019, Volume and Issue: 86(10), P. 749 - 758

Published: Aug. 2, 2019

Language: Английский

Citations

200
Non-invasive Brain Stimulation: A Paradigm Shift in Understanding Brain Oscillations DOI Creative Commons
Johannes Vosskuhl, Daniel Strüber, Christoph S. Herrmann

et al.

Frontiers in Human Neuroscience, Journal Year: 2018, Volume and Issue: 12

Published: May 25, 2018

Cognitive neuroscience set out to understand the neural mechanisms underlying cognition. One central question is how oscillatory brain activity relates cognitive processes. Up now, most of evidence supporting this relationship was correlative in nature. This situation changed dramatically with recent development non-invasive stimulation (NIBS) techniques, which open up new vistas for by allowing researchers first time validate their correlational theories manipulating functioning directly. In review, we focus on transcranial alternating current (tACS), an electrical method that applies sinusoidal currents intact scalp human individuals directly interfere ongoing oscillations. We outline tACS can impact oscillations employing different levels observation from application healthy volunteers and intracranial recordings patients animal studies demonstrating effectiveness electric fields neurons

Language: Английский

Citations

196
Revisiting the Functional Anatomy of the Human Brain: Toward a Meta-Networking Theory of Cerebral Functions DOI
Guillaume Herbet, Hugues Duffau

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

Citations

193
Brain networks and their relevance for stroke rehabilitation DOI
Adrian G. Guggisberg, Philipp Koch, Friedhelm C. Hummel

et al.

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

Published: April 15, 2019

Language: Английский

Citations

180
Brain lesions disrupting addiction map to a common human brain circuit DOI Creative Commons
Juho Joutsa, Khaled Moussawi, Shan Siddiqi

et al.

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

Citations

141
Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence DOI Creative Commons
Anna K. Bonkhoff, Christian Grefkes

Brain, Journal Year: 2021, Volume and Issue: 145(2), P. 457 - 475

Published: Dec. 13, 2021

Stroke ranks among the leading causes for morbidity and mortality worldwide. New continuously improving treatment options such as thrombolysis thrombectomy have revolutionized acute stroke in recent years. Following modern rhythms, next revolution might well be strategic use of steadily increasing amounts patient-related data generating models enabling individualized outcome predictions. Milestones already been achieved several health care domains, big artificial intelligence entered everyday life. The aim this review is to synoptically illustrate discuss how approaches may help compute single-patient predictions research acute, subacute chronic stage. We will present considering demographic, clinical electrophysiological data, originating from various imaging modalities combinations thereof. outline their advantages, disadvantages, potential pitfalls promises they hold with a special focus on audience. Throughout we highlight methodological aspects novel machine-learning are particularly crucial realize precision medicine. finally provide an outlook contribute enhancing favourable outcomes after stroke.

Language: Английский

Citations

121
Sex differences in the human brain: a roadmap for more careful analysis and interpretation of a biological reality DOI Creative Commons

Alex R. DeCasien,

Elisa Guma, Siyuan Liu

et al.

Biology of Sex Differences, Journal Year: 2022, Volume and Issue: 13(1)

Published: July 26, 2022

Abstract The presence, magnitude, and significance of sex differences in the human brain are hotly debated topics scientific community popular media. This debate is largely fueled by studies containing strong, opposing conclusions: either little to no evidence exists for neuroanatomy, or there small-to-moderate size certain regions that highly reproducible across cohorts (even after controlling average size). Our Commentary uses specific comparison between two recent large-scale adopt these views—namely review Eliot colleagues (2021) direct analysis ~ 40k brains Williams (2021)—in an effort clarify this controversy provide a framework conducting research. First, we observations motivate research on including potential causes (evolutionary, genetic, environmental) effects (epidemiological clinical sex-biased disorders). We also summarize methodological empirical support using structural MRI investigate such patterns. Next, outline how researchers focused can better specify their study design (e.g., was defined, if adjusted for) results (by e.g., distinguishing sexual dimorphisms from differences). then compare different approaches available studying large number individuals: analysis, meta-analysis, review. stress reviews do not account studies, variation explains many apparent inconsistencies reported throughout (including work colleagues). For instance, show amygdala volume consistently as male-biased with sufficient sample sizes appropriate methods correction. In fact, comparing multiple analyses highlights small, (controlling Finally, describe best practices presentation interpretation findings. Care important all domains science, but especially so brain, given existence broad societal gender-biases history biological data being used justify sexist ideas. As such, urge discuss simultaneously anti-sexist viewpoints.

Language: Английский

Citations

96
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 < .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