Diffusion tensor imaging shows white matter tracts between human auditory and visual cortex

Beer, Anton; Plank, Tina; Greenlee, Mark W.

doi:10.1007/s00221-011-2715-y

Cited by 117 publications

(109 citation statements)

References 62 publications

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“…The results of our study also integrate well with recent developments in multisensory research showing that information from different modalities interact earlier and on lower processing levels than traditionally thought (Cappe et al, 2010;Kayser et al, 2010;Klinge et al, 2010;Beer et al, 2011; for review see Ghazanfar and Schroeder, 2006;Driver and Noesselt, 2008). We assume that direct connections between FFA and voicesensitive cortices are especially relevant in the context of person identification.…”

Section: Discussionsupporting

confidence: 87%

Direct Structural Connections between Voice- and Face-Recognition Areas

Blank¹,

Anwander²,

Kriegstein³

2011

J. Neurosci.

153

148

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Section: Discussionsupporting

confidence: 87%

Direct Structural Connections between Voice- and Face-Recognition Areas

Blank¹,

Anwander²,

Kriegstein³

2011

J. Neurosci.

153

148

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“…Structurally, monosynaptic projections identified between unisensory (including primary) cortices raise the possibility of interactions during early stimulus processing stages (Falchier et al, 2002(Falchier et al, , 2010Rockland and Ojima, 2003;Cappe and Barone, 2005;Cappe et al, 2009a; see also Beer et al, 2011). In agreement, functional data support the occurrence of multisensory interactions within 100 ms poststimulus onset and within low-level cortical areas (Giard and Peronnet, 1999;Molholm et al, 2002;Martuzzi et al, 2007;Romei et al, 2007Romei et al, , 2009Cappe et al, 2010;Raij et al, 2010;Van der Burg et al, 2011).…”

Section: Introductionsupporting

confidence: 57%

Looming Signals Reveal Synergistic Principles of Multisensory Integration

Cappe¹,

Thelen²,

Romei³

et al. 2012

J. Neurosci.

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Multisensory interactions are a fundamental feature of brain organization. Principles governing multisensory processing have been established by varying stimulus location, timing and efficacy independently. Determining whether and how such principles operate when stimuli vary dynamically in their perceived distance (as when looming/receding) provides an assay for synergy among the above principles and also means for linking multisensory interactions between rudimentary stimuli with higher-order signals used for communication and motor planning. Human participants indicated movement of looming or receding versus static stimuli that were visual, auditory, or multisensory combinations while 160-channel EEG was recorded. Multivariate EEG analyses and distributed source estimations were performed. Nonlinear interactions between looming signals were observed at early poststimulus latencies (ϳ75 ms) in analyses of voltage waveforms, global field power, and source estimations. These looming-specific interactions positively correlated with reaction time facilitation, providing direct links between neural and performance metrics of multisensory integration. Statistical analyses of source estimations identified looming-specific interactions within the right claustrum/insula extending inferiorly into the amygdala and also within the bilateral cuneus extending into the inferior and lateral occipital cortices. Multisensory effects common to all conditions, regardless of perceived distance and congruity, followed (ϳ115 ms) and manifested as faster transition between temporally stable brain networks (vs summed responses to unisensory conditions). We demonstrate the early-latency, synergistic interplay between existing principles of multisensory interactions. Such findings change the manner in which to model multisensory interactions at neural and behavioral/perceptual levels. We also provide neurophysiologic backing for the notion that looming signals receive preferential treatment during perception.

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“…Such limitations notwithstanding, there is a growing number of studies reporting the presence of connectivity between the primary visual cortex and primary auditory cortex (as well as other higher-level visual and auditory cortices). For example, in a pair of studies, Beer et al (2011Beer et al ( , 2013 has reported the existence of fibre tracts between a seed region within the Heschl's gyrus and the occipital pole as well as the anterior portions of the calcarine sulcus.…”

Section: The Anatomic Scaffolding For Multisensory Processes In the Pmentioning

confidence: 99%

The multisensory function of the human primary visual cortex

et al. 2016

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2It has been nearly ten years since Ghazanfar and Schroeder (2006) proposed that the neocortex is essentially multisensory in nature. However, it is only recently that sufficient and hard evidence that supports this proposal has accrued. We review evidence that activity within the human primary visual cortex plays an active role in multisensory processes and directly impacts behavioural outcome. This evidence emerges from a full pallet of human brain imaging and brain mapping methods with which multisensory processes are quantitatively assessed by taking advantage of particular strengths of each technique as well as advances in signal analyses. Several general conclusions about multisensory processes in primary visual cortex of humans are supported relatively solidly. First, haemodynamic methods (fMRI/PET) show that there is both convergence and integration occurring within primary visual cortex. Second, primary visual cortex is involved in multisensory processes during early post-stimulus stages (as revealed by EEG/ERP/ERFs as well as TMS). Third, multisensory effects in primary visual cortex directly impact behaviour and perception, as revealed by correlational (EEG/ERPs/ERFs) as well as more causal measures (TMS/tACS). While the provocative claim of Ghazanfar and Schroeder (2006) that the whole of neocortex is multisensory in function has yet to be demonstrated, this can now be considered established in the case of the human primary visual cortex.

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Diffusion tensor imaging shows white matter tracts between human auditory and visual cortex

Cited by 117 publications

References 62 publications

Direct Structural Connections between Voice- and Face-Recognition Areas

Direct Structural Connections between Voice- and Face-Recognition Areas

Looming Signals Reveal Synergistic Principles of Multisensory Integration

The multisensory function of the human primary visual cortex

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