ReviewFrontiers in human neuroscience2015
Structural and effective connectivity reveals potential network-based influences on category-sensitive visual areas.
Review in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Multimodal EEG-MRI Neuroimaging in Schizophrenia-A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- Bidirectional and Cross-Hemispheric Modulations of Face-Selective Neural Activity Induced by Electrical Stimulation within the Human Cortical Face Network.Brain sciences · 2024Article
- Neural Representations of Sensory Uncertainty and Confidence Are Associated with Perceptual Curiosity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Inhibitory TMS over Visual Area V5/MT Disrupts Visual Speech Recognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Effective connectivity in subcortical visual structures in de novo Patients with Parkinson's Disease.NeuroImage. Clinical · 2022Article
- Revisiting the effective connectivity within the distributed cortical network for face perception.Neuroimage. Reports · 2021Article
- Frontal cortical regions associated with attention connect more strongly to central than peripheral V1.NeuroImage · 2021Article
- Cortical connectivity in the face of congenital structural changes-A case of homozygous LAMC3 mutation.Brain and behavior · 2021Article
- Separate and Shared Neural Basis of Face Memory and Face Perception in Developmental Prosopagnosia.Frontiers in behavioral neuroscience · 2021Article
- Dorsal-movement and ventral-form regions are functionally connected during visual-speech recognition.Human brain mapping · 2020Article
- Cerebro-Cerebellar Pathways for Verbal Working Memory.Frontiers in human neuroscience · 2018Article
- Article
- Lateral and Medial Ventral Occipitotemporal Regions Interact During the Recognition of Images Revealed from Noise.Frontiers in human neuroscience · 2015Article
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Authors and funding
1 author.
Funding
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Abstract
Visual category perception is thought to depend on brain areas that respond specifically when certain categories are viewed. These category-sensitive areas are often assumed to be "modules" (with some degree of processing autonomy) and to act predominantly on feedforward visual input. This modular view can be complemented by a view that treats brain areas as elements within more complex networks and as influenced by network properties. This network-oriented viewpoint is emerging from studies using either diffusion tensor imaging to map structural connections or effective connectivity analyses to measure how their functional responses influence each other. This literature motivates several hypotheses that predict category-sensitive activity based on network properties. Large, long-range fiber bundles such as inferior fronto-occipital, arcuate and inferior longitudinal fasciculi are associated with behavioral recognition and could play crucial roles in conveying backward influences on visual cortex from anterior temporal and frontal areas. Such backward influences could support top-down functions such as visual search and emotion-based visual modulation. Within visual cortex itself, areas sensitive to different categories appear well-connected (e.g., face areas connect to object- and motion sensitive areas) and their responses can be predicted by backward modulation. Evidence supporting these propositions remains incomplete and underscores the need for better integration of DTI and functional imaging.
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