AICHA: An atlas of intrinsic connectivity of homotopic areas

Joliot, Marc; Jobard, Gaël; Naveau, Mikaël; Delcroix, Nicolas; Petit, Laurent; Zago, Laure; Crivello, Fabrice; Mellet, Emmanuel; Mazoyer, Bernard; Tzourio‐Mazoyer, Nathalie

doi:10.1016/j.jneumeth.2015.07.013

Cited by 250 publications

(225 citation statements)

References 70 publications

(91 reference statements)

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“…While this is expected for the Broca area of the inferior frontal gyrus, regions such as the dorsal part of the frontal eye fields (FEF) and the ventral region of the ventrolateral pre-frontal cortex (VLPFC) are usually activated bilaterally (Joliot et al, 2015), whereas here we find the activation in these regions strongly biased to the left hemisphere. This lateralization has been associated with the cognitive control of memory access (Badre & Wagner, 2007).…”

Section: Resultscontrasting

confidence: 75%

“…This lateralized activation is unusual because attentional and oculomotor activation of these regions is usually bilateral (Joliot et al, 2015). Such activation may represent an extension of the language processing area of the ventral premotor area in this blind individual without the need for oculomotor planning, or it may represent instead a preserved latent form of eye-hand mechanism.…”

Section: Discussionmentioning

confidence: 99%

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The Cortical Network for Braille Writing in the Blind

Likova

Tyler

Cacciamani

et al. 2016

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Fundamental forms of high-order cognition, such as reading and writing, are usually studied in the context of one modality - vision. People without sight, however, use the kinesthetic-based Braille writing, and haptic-based Braille reading. We asked whether the cognitive and motor control mechanisms underlying writing and reading are modality-specific or supramodal. While a number of previous functional Magnetic Resonance Imaging (fMRI) studies have investigated the brain network for Braille reading in the blind, such studies on Braille writing are lacking. Consequently, no comparative network analysis of Braille writing vs. reading exists. Here, we report the first study of Braille writing, and a comparison of the brain organization for Braille writing vs Braille reading. FMRI was conducted in a Siemens 3T Trio scanner. Our custom MRI-compatible drawing/writing lectern was further modified to provide for Braille reading and writing. Each of five paragraphs of novel Braille text describing objects, faces and navigation sequences was read, then reproduced twice by Braille writing from memory, then read a second time. During Braille reading, the haptic-sensing of the Braille letters strongly activated not only the early visual area V1 and V2, but some highly specialized areas, such as the classical visual grapheme area and the Exner motor grapheme area. Braille-writing-from-memory, engaged a significantly more extensive network in dorsal motor, somatosensory/kinesthetic, dorsal parietal and prefrontal cortex. However, in contrast to the largely extended V1 activation in drawing-from-memory in the blind after training (Likova, 2012), Braille writing from memory generated focal activation restricted to the most foveal part of V1, presumably reflecting topographically the focal demands of such a “pin-pricking” task.

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Section: Resultscontrasting

confidence: 75%

Section: Discussionmentioning

confidence: 99%

The Cortical Network for Braille Writing in the Blind

Likova

Tyler

Cacciamani

et al. 2016

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“…Both nuclei are directly adjacent to the ventral part of the ventral lateral posterior nucleus (VLpv) which (in Hirai & Jones nomenclature) corresponds to the VIM (in Walker nomenclature) or Vimi (in Hassler nomenclature; Macchi and Jones, 1997). Thalamic parcellations based on anatomical connectivity (Behrens et al, 2003), showed the DBS target in premotor and primary motor zones of the thalamus, while parcellations based on functional connectivity showed it between motor and sensory (Zhang et al, 2008) or in thal-5 zone (Joliot et al, 2015). Finally, the VIM DBS target could be related to histological MNI-based resources such as the BigBrain dataset (Amunts et al, 2013).…”

Section: Resultsmentioning

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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“…In this approach areas were defined based on the assumption that similar connectivity profiles could be found within a region (Johansen-Berg et al 2004; Klein et al 2007). More recent hypotheses emphasize parcellations based on functional connectivity, e.g., a definition of the putative areas SMA and pre-SMA using resting state fMRI (Kim et al 2010; Joliot et al 2015). Another approach identified areas SMA and pre-SMA in a data-driven fashion based on their individual co-activation patterns (Eickhoff et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Cytoarchitecture, probability maps, and functions of the human supplementary and pre-supplementary motor areas

et al. 2018

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The dorsal mesial frontal cortex contains the supplementary motor area (SMA) and the pre-supplementary motor area (pre-SMA), which play an important role in action and cognition. Evidence from cytoarchitectonic, stimulation, and functional studies suggests structural and functional divergence between the two subregions. However, a microstructural map of these areas obtained in a representative sample of brains in a stereotaxic reference space is still lacking. In the present study we show that the dorsal mesial frontal motor cortex comprises two microstructurally different brain regions: area SMA and area pre-SMA. Area-specific cytoarchitectonic patterns were studied in serial histological sections stained for cell bodies of ten human postmortem brains. Borders of the two cortical areas were identified using image analysis and statistical features. The 3D reconstructed areas were transferred to a common reference space, and probabilistic maps were calculated by superimposing the individual maps. A coordinate-based meta-analysis of functional imaging data was subsequently performed using the two probabilistic maps as microstructurally defined seed regions. It revealed that areas SMA and pre-SMA were strongly co-activated with areas in precentral, supramarginal and superior frontal gyri, Rolandic operculum, thalamus, putamen and cerebellum. Both areas were related to motor functions, but area pre-SMA was involved in more complex processes such as learning, cognitive processes and perception. The here described subsequent analyses led to converging evidence supporting the microstructural, and functional segregation of areas SMA and pre-SMA, and maps will be made available to the scientific community to further elucidate the microstructural substrates of motor and cognitive control.Electronic supplementary materialThe online version of this article (10.1007/s00429-018-1738-6) contains supplementary material, which is available to authorized users.

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AICHA: An atlas of intrinsic connectivity of homotopic areas

Abstract: AICHA is ideally suited for intrinsic/effective connectivity analyses, as well as for investigating brain hemispheric specialization.

Cited by 250 publications

References 70 publications

The Cortical Network for Braille Writing in the Blind

The Cortical Network for Braille Writing in the Blind

Probabilistic conversion of neurosurgical DBS electrode coordinates into MNI space

Cytoarchitecture, probability maps, and functions of the human supplementary and pre-supplementary motor areas

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