Damage to White Matter Fiber Tracts in Acute Spatial Neglect

Karnath, Hans‐Otto; Rorden, Chris; Ticini, Luca Francesco

doi:10.1093/cercor/bhn250

Cited by 115 publications

(107 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…and"the"caudate"nucleus" (Karnath,"Himmelbach,"&"Rorden,"2002). "Moreover," disconnections"of"white"matter"fibre"tracts"also"play"an"important"role"(Doricchi," Thiebaut"de"Schotten,"Tomaiuolo,"&"Bartolomeo,"2008),"such"as"the"superior" longitudinal"fasciculus,"the"inferior"occipitobfrontal"fasciculus,"and"the"superior" occipitobfrontal"fasciculus" (Karnath,"Rorden,"&"Ticini,"2009I"Shinoura"et"al.," 2009).…”

Section: Andintroduction"mentioning

confidence: 99%

Theta burst stimulation improves overt visual search in spatial neglect independently of attentional load

Cazzoli

Rosenthal

Kennard

et al. 2015

Cortex

View full text Add to dashboard Cite

Section: Andintroduction"mentioning

confidence: 99%

Theta burst stimulation improves overt visual search in spatial neglect independently of attentional load

Cazzoli

Rosenthal

Kennard

et al. 2015

Cortex

View full text Add to dashboard Cite

“…8 and 9), including the superior and middle temporal cortex and underlying insula (19-23), the inferior parietal cortex and temporo-parietal junction area (22-25), as well as the inferior frontal cortex (23,26). Further, spatial neglect is observed following injury to the fiber tracts interconnecting these cortical sites (27)(28)(29)(30).Given the diverse brain regions implicated in spatial neglect, there are clear and distinct hypotheses regarding the contribution of different anatomical nodes in predicting this disorder. In this situation, it is obvious that a multivariate approach-one that leverages information from multiple brain regions, including those that are commonly spared and damaged-could help to better understand the neural bases of this disorder.…”

mentioning

confidence: 99%

“…8 and 9), including the superior and middle temporal cortex and underlying insula (19)(20)(21)(22)(23), the inferior parietal cortex and temporo-parietal junction area (22)(23)(24)(25), as well as the inferior frontal cortex (23,26). Further, spatial neglect is observed following injury to the fiber tracts interconnecting these cortical sites (27)(28)(29)(30).…”

mentioning

confidence: 99%

Decoding the anatomical network of spatial attention

Smith

Clithero

Rorden

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

113

118

View full text Add to dashboard Cite

The study of stroke patients with modern lesion-symptom analysis techniques has yielded valuable insights into the representation of spatial attention in the human brain. Here we introduce an approach-multivariate pattern analysis-that no longer assumes independent contributions of brain regions but rather quantifies the joint contribution of multiple brain regions in determining behavior. In a large sample of stroke patients, we found patterns of damage more predictive of spatial neglect than the best-performing single voxel. In addition, modeling multiple brain regions-those that are frequently damaged and, importantly, spared-provided more predictive information than modeling single regions. Interestingly, we also found that the superior temporal gyrus demonstrated a consistent ability to improve classifier performance when added to other regions, implying uniquely predictive information. In sharp contrast, classifier performance for both the angular gyrus and insular cortex was reliably enhanced by the addition of other brain regions, suggesting these regions lack independent predictive information for spatial neglect. Our findings highlight the utility of multivariate pattern analysis in lesion mapping, furnishing neuroscience with a modern approach for using lesion data to study human brain function.brain injury | superior temporal cortex | voxelwise lesion symptom mapping | distributed network O bserving the behavioral consequences of brain injury has driven our understanding of brain function. Although recent brain activation measures have revealed how behavior engages spatially distributed networks, lesion methods remain important because of their clinical significance and level of inference, as a result of their ability to detect if a region is critical for a task rather than merely involved with a task (1, 2). Classically, lesion-behavior relationships were inferred by looking for associations: identification of regions consistently damaged in patients with a given symptom. However, this approach suffers from a major confound; some regions of the brain are more likely to be injured than others, and therefore, these studies identify both regions that are critical to a function as well as regions that are frequently injured (for review, see ref.2). Voxelwise lesion symptom mapping (VLSM) revolutionized this method by looking for statistical dissociations: identifying regions that are consistently damaged in individuals with a deficit but spared in those without a deficit (3, 4).Conventional VLSM methods compute independent analyses for each and every voxel of the brain. Unfortunately, this mass univariate method necessarily limits the statistical power for many common neurological syndromes. For example, if damage to either of two distant brain regions can lead to the same symptoms (e.g., a distributed network), a patient with damage to one location will effectively appear as a counter example for detecting the other location. Indeed, consider the situation where a symptom is observed whenever only a po...

show abstract

“…White matter damage has been found to be particularly prominent in large cerebral infarcts with hemispatial neglect, apraxia and severe hemiparesis (Karnath et al, 2009;Pazzaglia et al, 2008;Seitz et al, 2009;Stoeckel et al, 2007). However, it is not merely the size of the infarct but preferentially its location that determines the functional outcome after stroke (Binkofski et al, 1996;Chen et al, 2000;Zhu et al, 2010).…”

Section: Assessing the Impact Of White Matter Damage On Motor Functiomentioning

confidence: 99%