Volumes, spatial extents and a probabilistic atlas of the human basal ganglia and thalamus

Ahsan, R. Laila; Allom, R.; Gousias, Ioannis S.; Habib, Helai; Turkheimer, Federico; Free, S. L.; Lemieux, Louis; Myers, Ralph; Duncan, John S.; Brooks, David J.

doi:10.1016/j.neuroimage.2007.06.004

Cited by 99 publications

(94 citation statements)

References 37 publications

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“…Similar probabilistic anatomical maps have been generated for subcortical structures. 1 Neuroanatomical studies have identified multiple factors that affect anatomical variability, including but not limited to sex, handedness, aging, and neurological and psychiatric diseases such as depression, psychosis, and dementia. 2,3,30,33,56,57 In the neurosurgical population, additional interpatient anatomical variability arises from the presence of intracranial pathology.…”

Section: Anatomical Variabilitymentioning

confidence: 99%

The reliability of neuroanatomy as a predictor of eloquence: a review

Pouratian

Bookheimer

2010

FOC

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The adjacency of intracranial pathology to canonical regions of eloquence has long been considered a significant source of potential morbidity in the neurosurgical care of patients. Yet, several reports exist of patients who undergo resection of gliomas or other intracranial pathology in eloquent regions without adverse effects. This raises the question of whether anatomical and intracranial location can or should be used as a means of estimating eloquence. In this review, the authors systematically evaluate the factors that are known to affect anatomical-functional relationships, including anatomical, functional, pathology-related, and modality-specific sources of variability. This review highlights the unpredictability of functional eloquence based on anatomical features alone and the fact that patients should not be considered ineligible for surgical intervention based on anatomical considerations alone. Rather, neurosurgeons need to take advantage of modern technology and mapping techniques to create individualized maps and management plans. An individualized approach allows one to expand the number of patients who are considered for and who potentially may benefit from surgical intervention. Perhaps most importantly, an individualized approach to mapping patients with brain tumors ensures that the risk of iatrogenic functional injury is minimized while maximizing the extent of resection.

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Section: Anatomical Variabilitymentioning

confidence: 99%

The reliability of neuroanatomy as a predictor of eloquence: a review

Pouratian

Bookheimer

2010

FOC

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“…3 Yet, optimal precise target localization remains controversial. Assessment of localizations on postoperative structural MR imaging data in their specific anatomic context requires spatial normalization to transform individual anatomic variability [4][5][6] by geometric alignment of corresponding structures across patients (patient-to-patient) or to a standard (patient-to-atlas). Commonly, the position of the electrode is indirectly reported in coordinates along the 3 axes relative to the midcommissural point (MCP) between the anterior commissure (AC) and posterior commissure (PC) 1,[6][7][8][9][10][11] and is normalized by the individual distance from the AC to the PC in relation to a standard atlas ACPC distance.…”

mentioning

confidence: 99%

“…1,23 However, manual assessment of the nuclear outlines is prone to limited inter-rater reliability. 5 Another approach 24 is based on the manual definition of reliably identifiable landmarks to transform MR imaging data into the stereotactic Atlas of the Human Brain. 25 Nevertheless, an automatic approach would reduce the effort necessary on the part of the expert and avoid inaccuracies that can arise from manual assessment of anatomic landmarks.…”

mentioning

confidence: 99%

“…[26][27][28] These methods permit registration of MR imaging data with a specific atlas space, which is based on a few individuals (postmortem print atlases) with detailed but individual anatomic measures. However, a more standardized population-based stereotactic space would be advantageous to account for broad anatomic variety 4,5 and enable quantitative reference to points within anatomic structures or substructures.…”

mentioning

confidence: 99%

“…MNI space is a widely accepted reference system provided by the International Consortium of Brain Mapping 5,29 and provides a degree of structural normality, allowing direct comparison of MNI localizations in quantitative group analysis.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Automated Optimization of Subcortical Cerebral MR Imaging−Atlas Coregistration for Improved Postoperative Electrode Localization in Deep Brain Stimulation

Schönecker¹,

Kupsch²,

Kühn³

et al. 2009

AJNR Am J Neuroradiol

117

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BACKGROUND AND PURPOSE:The efficacy of deep brain stimulation in treating movement disorders depends critically on electrode localization, which is conventionally described by using coordinates relative to the midcommissural point. This approach requires manual measurement and lacks spatial normalization of anatomic variances. Normalization is based on intersubject spatial alignment (coregistration) of corresponding brain structures by using different geometric transformations. Here, we have devised and evaluated a scheme for automated subcortical optimization of coregistration (ASOC), which maximizes patient-to-atlas normalization accuracy of postoperative structural MR imaging into the standard Montreal Neurologic Institute (MNI) space for the basal ganglia.

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Synaptic Changes in Parkinson Disease Assessed with in vivo Imaging

Matuskey

Tinaz

Wilcox

et al. 2020

Annals of Neurology

122

109

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Objective Parkinson disease is characterized by motor and nonmotor symptoms, reduced striatal dopamine signaling, and loss of dopamine neurons in the substantia nigra. It is now known that the pathological process in Parkinson disease may begin decades before the clinical diagnosis and include a variety of neuronal alterations in addition to the dopamine system. Methods This study examined the density of all synapses with synaptic vesicle glycoprotein 2A (SV2A) in Parkinson disease subjects with mild bilateral disease (n = 12) and matched normal controls (n = 12) using in vivo high‐resolution positron emission tomographic imaging as well as postmortem autoradiography in an independent sample with Parkinson disease (n = 15) and normal controls (n = 13) in the substantia nigra and putamen. Results A group‐by‐brain region interaction effect (F10, 22 = 3.52, p = 0.007) was observed in the primary brain areas with in vivo SV2A binding. Post hoc analyses revealed that the Parkinson disease group exhibited lower SV2A in the substantia nigra (−45%; p < 0.001), red nucleus (−31%; p = 0.03), and locus coeruleus (−17%; p = 0.03). Exploratory analyses also revealed lower SV2A binding in clinically relevant cortical areas. Using autoradiography, we confirmed lower SV2A in the substantia nigra (−17%; p < 0.005) and nonsignificant findings in the putamen (−4%; p = 0.06). Interpretation This work provides the first evidence of synaptic loss in brainstem nuclei involved in the pathogenesis of Parkinson disease in living patients. SV2A imaging holds promise for understanding synaptic changes central to the disease. Ann Neurol 2020;87:329–338

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Volumes, spatial extents and a probabilistic atlas of the human basal ganglia and thalamus

Cited by 99 publications

References 37 publications

The reliability of neuroanatomy as a predictor of eloquence: a review

The reliability of neuroanatomy as a predictor of eloquence: a review

Automated Optimization of Subcortical Cerebral MR Imaging−Atlas Coregistration for Improved Postoperative Electrode Localization in Deep Brain Stimulation

Synaptic Changes in Parkinson Disease Assessed with in vivo Imaging

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