Generation of Individualized Thalamus Target Maps by Using Statistical Shape Models and Thalamocortical Tractography

Jakab, András; Blanc, Rémi; Berényi, Ervin; Székely, Gábor

doi:10.3174/ajnr.a3140

Cited by 75 publications

(74 citation statements)

References 41 publications

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“…These shifts corresponded to the minimum translation needed to ensure no overlap between the Hb and thalamic seeds, and are consistent with several prior studies [Hennigan et al, ; Lawson et al, ]. Identification of specific thalamic nuclei was based on the MNI‐standardized Morel Atlas of the Thalamus and the Woolsey Brain Atlas [Jakab et al, ; Krauth et al, ; Woolsey et al, ]. Our thalamic control seeds, as well as the mean Hb mask used to determine their coordinates, are displayed in Figure .…”

Section: Methodssupporting

confidence: 80%

“…A complete list of whole‐brain Hb functional connectivity findings can be found in Table . As the relationship between the Hb and midbrain was of particular interest, Figure provides further detail on the connectivity with this region; overlays outlining the approximate boundaries of the VTA, substantia nigra, and red nuclei were derived from available MNI‐standardized atlases [Jakab et al, ; Krauth et al, ; Murty et al, ]. Results from an exploratory contrast of left vs. right Hb seeds are presented in Supporting Information Table S1.…”

Section: Resultsmentioning

confidence: 99%

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Resting-state functional connectivity of the human habenula in healthy individuals: Associations with subclinical depression

et al. 2016

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Introduction The habenula (Hb) is postulated to play a critical role in reward and aversion processing across species, including humans, and has been increasingly implicated in depression. However, technical constraints have limited in vivo investigation of the human Hb, and its function remains poorly characterized. We sought to overcome these challenges by examining the whole-brain resting-state functional connectivity of the Hb and its possible relationship to depressive symptomatology using the high-resolution WU-Minn Human Connectome Project (HCP) dataset. Methods Anatomical and resting-state functional MRI data from 50 healthy subjects with low or high subclinical depression scores (n=25 each) were analyzed. Using novel semi-automated segmentation and optimization techniques, we generated individual-specific Hb seeds and calculated whole-brain functional connectivity for the entire cohort and the contrast of high vs. low subclinical depression groups. Results In the entire cohort, the Hb exhibited significant connectivity with key brainstem structures (i.e., ventral tegmental area, substantia nigra, pons) as well as the anterior and posterior cingulate cortices, precuneus, thalamus, and sensorimotor cortex. Multiple regions showed differential Hb connectivity based on subclinical depression scores, including the amygdala, insula, and prefrontal, mid-cingulate, and entorhinal cortices. Conclusions Hb connectivity findings converged on areas associated with salience processing, sensorimotor systems, and the default mode network. We also detected substantial Hb-brainstem connectivity, consistent with prior histological and animal research. High and low subclinical depression groups exhibited differences in Hb connectivity with multiple regions previously linked to depression, suggesting the relationship between these structures as a potential target for future research and treatment.

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Section: Methodssupporting

confidence: 80%

Section: Resultsmentioning

confidence: 99%

Resting-state functional connectivity of the human habenula in healthy individuals: Associations with subclinical depression

et al. 2016

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“…Relating these two atlas standards is potentially valuable as there are an increasing number of resources available in MNI space that could lend insight into the effect of stimulation at a given brain location (Fox et al, 2014; Horn and Kühn, 2015; Höflich et al, 2010). These MNI resources include subcortical atlases based on histology (Amunts et al, 2013; Chakravarty et al, 2006; Jakab et al, 2012; Krauth et al, 2010; Morel, 2013; Yelnik et al, 2007), high-field MRI (Keuken et al, 2013; 2014), structural connectivity (Accolla et al, 2014; Behrens et al, 2003) and functional connectivity (Choi et al, 2012; Zhang et al 2008). Beyond atlases, there are increasingly detailed structural and functional connectome datasets in MNI space (Horn, 2015; Mori et al, 2008; Yeh and Tseng, 2011; Yeo et al, 2011; Setsompop et al, 2013; van Essen et al, 2012) that can be used to investigate the connectivity properties of DBS targets (Fox et al, 2014) or brain lesions (Boes et al, 2015; Laganiere et al, 2016; Fischer et al, 2016; Darby et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic conversion of neurosurgical DBS electrode coordinates into MNI space

et al. 2017

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In neurosurgical literature, findings such as deep brain stimulation (DBS) electrode positions are conventionally reported in relation to the anterior and posterior commissures of the individual patient (AC/PC coordinates). However, the neuroimaging literature including neuroanatomical atlases, activation patterns, and brain connectivity maps has converged on a different population-based standard (MNI coordinates). Ideally, one could relate these two literatures by directly transforming MRIs from neurosurgical patients into MNI space. However obtaining these patient MRIs can prove difficult or impossible, especially for older studies or those with hundreds of patients. Here, we introduce a methodology for mapping an AC/PC coordinate (such as a DBS electrode position) to MNI space without the need for MRI scans from the patients themselves. We validate our approach using a cohort of DBS patients in which MRIs are available, and test whether several variations on our approach provide added benefit. We then use our approach to convert previously reported DBS electrode coordinates from eight different neurological and psychiatric diseases into MNI space. Finally, we demonstrate the value of such a conversion using the DBS target for essential tremor as an example, relating the site of the active DBS contact to different MNI atlases as well as anatomical and functional connectomes in MNI space.

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“…DTI has been utilized to divide the thalamus into thalamocortical domains (Jakab et al, 2012), and this modality has the potential to yield specific localization of functional activations or lesions to putative thalamic nuclei. Given that most of the afferent and efferent fibres of the thalamus are mapped, DTI will be pivotal in further exploring the role of the thalamus in neurodegenerative disorders.…”

Section: Modalities Utilized For Imaging the Thalamusmentioning

confidence: 99%

The thalamus as a putative biomarker in neurodegenerative disorders

Power

Looi

2015

Aust N Z J Psychiatry

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Objective: This review provides a brief account of the clinically relevant functional neuroanatomy of the thalamus, before considering the utility of various modalities utilized to image the thalamus and technical challenges therein, and going on to provide an overview of studies utilizing structural imaging techniques to map thalamic morphology in the spectrum of neurodegenerative disorders. Methods:A systematic search was conducted for peer-reviewed studies involving structural neuroimaging modalities investigating the morphology (shape and/or size) of the thalamus in the spectrum of neurodegenerative disorders.Results: While the precise role of the thalamus in the healthy brain remains unclear, there is a large body of knowledge accumulating which defines more precisely its functional connectivity within the connectome, and a burgeoning literature implicating its involvement in neurodegenerative disorders. It is proposed that correlation of clinical features with thalamic morphology (as a component of a quantifiable subcortical connectome) will provide a better understanding of neuropsychiatric dysfunction in various neurodegenerative disorders, potentially yielding clinically useful endophenotypes and disease biomarkers. Conclusion:Thalamic biomarkers in the neurodegenerative disorders have great potential to provide clinically meaningful knowledge regarding not only disease onset and progression but may yield targets of and perhaps a way of gauging response to future disease-modifying modalities.

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Generation of Individualized Thalamus Target Maps by Using Statistical Shape Models and Thalamocortical Tractography

Cited by 75 publications

References 41 publications

Resting-state functional connectivity of the human habenula in healthy individuals: Associations with subclinical depression

Resting-state functional connectivity of the human habenula in healthy individuals: Associations with subclinical depression

Probabilistic conversion of neurosurgical DBS electrode coordinates into MNI space

The thalamus as a putative biomarker in neurodegenerative disorders

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