The architecture of functional lateralisation and its relationship to callosal connectivity in the human brain

Karolis, Vyacheslav; Corbetta, Maurizio; Schotten, Michel Thiebaut de

doi:10.1101/372300

Cited by 13 publications

(16 citation statements)

References 90 publications

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“…Taken together, the results from this meta-analysis shed further light on the neural correlates of VMI, and suggest a left-hemisphere superiority that is in line with neuropsychological evidence 35,38,41,91 . Functional lateralization is a fundamental organization principle of the brain, and spans across the anatomical and functional realm 92…”

Section: The Role Of Fronto-parietal Networkmentioning

confidence: 99%

Visual mental imagery engages the left fusiform gyrus, but not the early visual cortex: a meta-analysis of neuroimaging evidence

Spagna

Hajhajate

Liu

2020

Preprint

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The neural bases of visual mental imagery (VMI) are the object of intense debate. Their identification is central to define the brain substrates our conscious experience and can be clinically important to reveal consciousness in non-communicating patients or to alleviate posttraumatic stress disorder. The dominant model of VMI stipulates a functional and anatomical equivalence between visual mental imagery and visual perception. In patients with acquired brain damage, the model predicts a systematic co-occurrence of perceptual and imaginal deficits.However, patients with lesions restricted to the occipital cortex often experience vivid mental images, even in case of cortical blindness resulting from bilateral V1 damage. Instead, patients with extensive left temporal damage are more likely to have impaired VMI. On the other hand, some neuroimaging and neuromodulatory evidence does suggest an implication of striate cortex in VMI. To address this discrepancy, we conducted an activation-likelihood-estimation-based large-scale meta-analysis of 46 functional magnetic resonance imaging experiments to map the extent of cortical activation associated with three contrasts: (1) all studies combined; (2) VMI versus Control, (3) VMI versus Perception, and (4) Motor Mental Imagery versus Control.Results from the VMI versus Control contrast demonstrated an association between VMI and activation increase in the frontoparietal and cingulo-opercular networks, as well as in the left fusiform gyrus. Results from the VMI versus Perception contrast showed the association between VMI and activation increase of the anterior insular and supplementary motor area / anterior cingulate cortices, bilaterally. Conjunction analyses between the VMI versus Control and the VMI Mental Imagery versus Perception contrasts showed the activation of the left anterior insular cortex and in the bilateral supplementary motor area / anterior cingulate cortex.Results from the Motor Mental Imagery versus Control contrast showed that mental motor imagery increases the activation of the cerebellum and of the superior frontal gyri bilaterally, of the left supplementary motor area, of the anterior portion of the left calcarine sulcus, and of the left fusiform / parahippocampal gyri. Conjunction analyses between the VMI versus Control and the Motor Mental Imagery versus Control contrasts showed the activation of the bilateral superior frontal gyrus as well as of the left supplementary motor area / anterior cingulate cortex.Thus, the results stress the importance for VMI of brain networks associated with attentional control and working memory functions, together with rostral portions of the cortical ventral visual stream. Bayesian analysis confirmed the lack of evidence for an activation of the early visual areas in VMI, consistent with the results from brain-damaged patients. Our evidence suggests a revision of the VMI model. A Fusiform Imagery Node (FIN) in the area FG3 of the left fusiform gyrus might act as a hub retrieving visual information from long-term sem...

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Section: The Role Of Fronto-parietal Networkmentioning

confidence: 99%

Visual mental imagery engages the left fusiform gyrus, but not the early visual cortex: a meta-analysis of neuroimaging evidence

Spagna

Hajhajate

Liu

2020

Preprint

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“…Firstly, we tracked white matter fibres that pass through each lesion in 163 healthy controls tractographies dataset acquired at 7 Tesla by the Human Connectome Project Team 41 and computed according to 30 . For each lesion, tractography maps of the 163 healthy controls were subsequently binarised and averaged together so that each voxel represented a probability of disconnection from 0 to 1.…”

Section: Disconnectomementioning

confidence: 99%

“…We used a meta-analytic database 25 (http://Neurosynth.org) that summarises the details of 11,406 fMRI literature sources and manually curated it as described in 30 .…”

Section: Relationship To Task-related Fmri Metanalysismentioning

confidence: 99%

“…In order to assess the relationship between disconnection and brain function, the probability of disconnection of each component was compared to a manually curated version of the most extensive fMRI meta-analytic dataset available 25,30 . Strikingly, 40 out of the 46 components disconnected a set of brain regions that significantly correlated with a set of specific task-related fMRI meta-analytic maps ( Figure 2b) with a small to large effect size (all r > 0.202, significant after Bonferroni correction for multiple comparisons; see supplementary material for a full description of all correlations).…”

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confidence: 99%

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Brain disconnections link structural connectivity with function and behaviour

Schotten

Foulon²,

Nachev³

2020

Preprint

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Brain lesions do not just disable but also disconnect brain areas, which once deprived of their input or output, can no longer subserve behaviour and cognition.The role of white matter connections has remained an open question for the past 250 years. Based on 1333 stroke lesions we reveal the human Disconnectome and demonstrate its relationship to the functional segregation of the human brain. Results indicate that functional territories are not only defined by white matter connections, but also by the highly stereotyped spatial distribution of brain disconnections. While the former has granted us the possibility to map 590 functions on the white matter of the whole brain, the latter compels a revision of the taxonomy of brain functions.Overall, our freely available Functional Atlas of the White Matter will enable improved clinical-neuroanatomical predictions for brain lesion studies and provide a platform for novel explorations in the domain of cognition.

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“…Why then does the right hemisphere generate more slow waves than the left one during NREM-sleep? In light of the homeostatic mechanisms that regulate SWA (Borbely and Achermann, 1999) and of the known differences in hemispheric functional specialization (Karolis et al, 2019), the right hemisphere may develop a stronger function-and use-dependent "sleep need" during wakefulness that translates into higher slow wave activity during subsequent sleep. However, this possibility is at odds with previous findings indicating a stronger rebound in SWA within the left hemisphere following extended wakefulness, relative to baseline sleep conditions (Achermann et al, 2001;Ferrara et al, 2002;Vyazovskiy et al, 2002).…”

Section: The Corpus Callosum Is Responsible For the Cross-hemisphericmentioning

confidence: 99%

Integrity of corpus callosum is essential for the cross-hemispheric propagation of sleep slow waves: a high-density EEG study in split-brain patients

Avvenuti¹,

Handjaras²,

Betta³

et al. 2019

Preprint

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400)The slow waves of NREM-sleep (0.5-4Hz) reflect experience-dependent plasticity and play a direct role in the restorative functions of sleep. Importantly, slow waves behave as traveling waves and their propagation is assumed to reflect the structural properties of white matter connections. Based on this assumption, the corpus callosum (CC) may represent the main responsible for cross-hemispheric slow wave propagation. To verify this hypothesis, here we studied a group of patients who underwent total callosotomy due to drug-resistant epilepsy.Overnight high-density (hd)-EEG recordings (256 electrodes) were performed in five totally callosotomized in-patients (CP; 40-53y, 2F), in three control non-callosotomized neurological in-patients (NP; 44-66y, 2F, 1M epileptic), and in an additional sample of 24 healthy adult subjects (HS; 20-47y, 13F). Data were inspected to select NREM-sleep epochs and artefactual or non-physiological activity was rejected. Slow waves were detected using an automated algorithm and their properties and propagation patterns were computed. For each slow wave parameter and for each patient, the relative z-score and the corresponding p-value were calculated with respect to the distribution represented by the HS-group. Group differences were considered significant only when a Bonferroni corrected P < 0.05 was observed in all the CP and in none of the NP. A regression-based adjustment was used to exclude potential confounding effects of age. Slow wave density, amplitude, slope and propagation speed did not differ across CP and HS. In all CP slow waves displayed a significantly reduced probability of cross-hemispheric propagation and a stronger inter-hemispheric asymmetry. Moreover, we found that the incidence of large slow waves tended to differ across hemispheres within individual NREM epochs, with a relative predominance of the right over the left hemisphere in both CP and HS. The absolute magnitude of this inter-hemispheric difference was significantly greater in CP relative to HS. This effect did not depend on differences in slow wave origin within each hemisphere across groups. Present results indicate that the integrity of the CC is essential for the cross-hemispheric traveling of sleep slow waves, supporting the assumption of a direct relationship between white matter structural integrity and cross-hemispheric slow wave propagation. Our findings also imply a prominent role of cortico-cortical connections, rather than cortico-subcortico-cortical loops, in slow wave cross-hemispheric synchronization.Finally, this data indicate that the lack of the CC does not lead to differences in sleep depth, in terms of slow wave generation/origin, across brain hemispheres.

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The architecture of functional lateralisation and its relationship to callosal connectivity in the human brain

Cited by 13 publications

References 90 publications

Visual mental imagery engages the left fusiform gyrus, but not the early visual cortex: a meta-analysis of neuroimaging evidence

Visual mental imagery engages the left fusiform gyrus, but not the early visual cortex: a meta-analysis of neuroimaging evidence

Brain disconnections link structural connectivity with function and behaviour

Integrity of corpus callosum is essential for the cross-hemispheric propagation of sleep slow waves: a high-density EEG study in split-brain patients

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