Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates
Open accessAbstract
The superior longitudinal fasciculus (SLF) is part of the longitudinal association fiber system, which lays connections between the frontal lobe and other areas of the ipsilateral hemisphere. As a dominant association fiber bundle, it should correspond to a well-defined structure with a clear anatomical definition. However, this is not the case, and a lot of confusion and overlap surrounds this entity. In this review/opinion study, we survey relevant current literature on the topic and try to clarify the definition of SLF in each hemisphere. After a comparison of postmortem dissections and data obtained from diffusion MRI studies, we discuss the specifics of this bundle regarding its anatomical landmarks, differences in lateralization, as well as individual variability. We also discuss the confusion regarding the arcuate fasciculus in relation to the SLF. Finally, we recommend a nomenclature based on the findings exposed in this review and finalize with a discussion on relevant functional correlates of the structure.
AI snapshot
Written from the paper’s full text.
TL;DR
This review/opinion argues that the superior longitudinal fasciculus (SLF) remains anatomically and nomenclaturally controversial, despite being a major association fiber system. It recommends distinguishing the SLF from the arcuate fasciculus, questioning SLF I as separate from the cingulum, and recognizing asymmetric SLF II/III functional roles.
Key findings
- The SLF is best defined as a fronto-parietal tract, whereas the arcuate fasciculus (AF) is a fronto-temporal tract; classifications that include the AF as part of the SLF are described as misleading.
- SLF I, connecting parietal precuneus to superior frontal gyrus, appears assimilable to the cingulum, so its existence and role are unclear; SLF II and SLF III are described as distinct and asymmetric, with left-sided SLF II/III implicated in speech processing and right-sided SLF II/III in visuospatial functioning.
- Wang et al.’s combined dMRI (\(n=10\)) and dissection (\(n=5\)) study found SLF II represented about 66% of total SLF volume and SLF III about 33%; left SLF II connectivity was linked to motor planning of language and/or syntax, right SLF II to attention regulation in spatial orientation.
- The review highlights dMRI validation problems: 63–90% of white matter volume is estimated to contain crossing fibers, and in an international tractography competition most tractograms contained more invalid than valid bundles.
Methods
- Narrative review/opinion based on a literature survey of SLF anatomy, nomenclature, lateralization, individual variability, AF relationship, and functional correlates.
- The authors compare postmortem dissection and diffusion MRI/tractography studies and summarize studies reporting 2, 3, 3 plus AF, and 5 SLF divisions in a table.
- No original cohort is analyzed; illustrative figures use open-source MRI images and the Imeka test tractogram, with segmentation methods derived from Wakana et al. and Fitzgerald et al.
Limitations
- The authors state that inter- and intra-individual variability is greater than previously suspected and recommend larger cohorts; they also note that cited studies often have low subject numbers.
- The authors discuss dMRI pitfalls including false positives, poor inter-protocol segmentation agreement, and orientation errors up to 90° at gray-white matter transitions; postmortem dissection cannot resolve crossing fibers or distal terminations and is biased toward elderly brains and fixation effects.
- Evident from the text: as a review/opinion without a systematic search or quantitative synthesis, its nomenclature recommendations are expert opinion rather than empirically tested consensus.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
22 of 62 cited sources checked · 10 supported · 2 flagged · accuracy not yet measured
- Premisecitation
Histological postmortem studies have shown a consistent failure of dMRI in regions of transition between white and gray matter, where orientation errors of as much as 90° have been observed.
“However, there is one domain where histological postmortem studies have shown a consistent failure of dMRI, which is in regions of transition between white and gray matter, where orientation errors of as much as 90° have been observed (49, 50).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [49] Dyrby, 2007, Validation of in vitro probabilistic tractography, Neuroimage source
- cites [50] Seehaus, 2015, Histological validation of high-resolution DTI in human post mortem tissue, Front Neuroanat source
The Results (Orientation differences) say that at the white-to-gray-matter transition, orientation differences often remained small despite reduced FA. The near-90° differences were instead found mostly in bands within gray matter, at intermediate cortical depths (Discussion, Orientations). Thus the paper does not describe a consistent failure at the transition. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Postmortem factors such as the interval between death and fixation, and the known effects of the fixative on the tissue, can alter results.
“Postmortem factors, such as the interval between death and fixation, as well as the known effects of the fixative on the tissue can also alter results (18–21).”
Quote in the paperSubstantial claim1 of 4 sources checked- cites [18] Chu, 2005, Ultrasound-accelerated formalin fixation of tissue improves morphology, antigen and mRNA preservation, Mod Pathol source
- cites [19] Schmierer, 2008, Quantitative magnetic resonance of postmortem multiple sclerosis brain before and after fixation, Magnetic Resonance in Medicine source
- cites [20] Stüber, 2014, Myelin and iron concentration in the human brain: a quantitative study of MRI contrast, NeuroImage source
- cites [21] van Duijn, 2011, artifacts in human brain tissue after prolonged formalin storage, Magnetic Resonance in Medicine source
- Premisecitation
Most tractograms produced in the international tractography competition were made up of more invalid than valid bundles.
“Indeed, they found that most tractograms produced in this competition were made up of more invalid than valid bundles (52).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [52] Maier-Hein, 2017, The challenge of mapping the human connectome based on diffusion tractography, Nat Commun source
- Premisecitation
The right-sided SLF as a whole appears more voluminous than the left-sided SLF.
“overall, the right-sided SLF as a whole appears more voluminous than on the left (3, 55).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [3] Martino, 2013, Analysis of the subcomponents and cortical terminations of the perisylvian superior longitudinal fasciculus: a fiber dissection and DTI tractography study, Brain Struct Funct source
- cites [55] Hecht, 2015, Virtual dissection and comparative connectivity of the superior longitudinal fasciculus in chimpanzees and humans, Neuroimage source
- Premisecitation
Current state-of-the-art tractography algorithms do not control for false positives.
“One of them was that current state-of-the-art tractography algorithms do not control for false positives.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [52] Maier-Hein, 2017, The challenge of mapping the human connectome based on diffusion tractography, Nat Commun source
- Premisecitation
Even when given the same set of underlying streamlines, variability across protocols for bundle segmentation was found to be greater than all other sources of potential unevenness.
“Even when given the same set of underlying streamlines, variability across protocols for bundle segmentation was found to be greater than all other sources of potential unevenness.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [69] Schilling, 2021, Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?, Neuroimage source
The Discussion (page unavailable) says that, using the same underlying streamlines, variability across segmentation protocols exceeded variability within protocols, including acquisition, registration, reconstruction, and streamline-generation effects. But it describes inter-protocol variability as “similar to (or greater than)” inter-subject variability, not greater than every other source. The Results for the corticospinal tract also show that the comparison depends on the measure used. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Ex vivo dMRI in cadaveric samples appears ideally suited to the study of normal anatomy because it can be obtained with maximal quality.
“In terms of validation, ex vivo dMRI in cadaveric samples appears ideally suited to the study of normal anatomy as it can be obtained with maximal quality.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [53] Takahashi, 2013, Detection of postmortem human cerebellar cortex and white matter pathways using high angular resolution diffusion tractography: a feasibility study, Neuroimage source
- Premisecitation
Anatomical variability between individuals can be observed at different levels such as cortical morphology, cytoarchitecture, task-evoked activation, or dMRI connectivity pattern.
“This variability can be observed at different levels such as in cortical morphology, cytoarchitecture, task-evoked activation, or in dMRI connectivity pattern (65–68).”
Quote in the paperNot a substantial claim2 of 4 sources checked- cites [65] Amunts, 2004, Analysis of neural mechanisms underlying verbal fluency in cytoarchitectonically defined stereotaxic space - The roles of Brodmann areas 44 and 45, Neuroimage source
- cites [66] Baldassarre, 2012, Individual variability in functional connectivity predicts performance of a perceptual task, Proc Natl Acad Sci U S A source
The Discussion (page unavailable) proposes individual variability in structural connectivity as a possible explanation for its functional-connectivity findings. It does not establish the claimed anatomical variability across cortical morphology, cytoarchitecture, task-evoked activation, and dMRI connectivity patterns; the study measured resting-state functional connectivity, not dMRI connectivity. (LLM, conf=0.79)
Experimental — accuracy not yet measured - cites [67] Good, 2001, voxel-based morphometric study of ageing in 465 normal adult human brains, Neuroimage source
- cites [68] Hill, 2010, Similar patterns of cortical expansion during human development and evolution, PNAS source
The Results (page not available) show differences in cortical surface area among individuals within each age group, supporting variability in cortical morphology. The Abstract discusses regional differences in cellular structure, not cytoarchitectural differences between individuals. The cited passages do not establish individual variability in task-evoked activation or dMRI connectivity patterns. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
If the SLF I is considered part of the SLF, its trunk appears to be distributed symmetrically between the right and left hemispheres.
“If we are to still consider the SLF I as part of the SLF, then this trunk appears to be distributed symmetrically between the right and left hemispheres (9).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [9] Thiebaut de Schotten, 2011, A lateralized brain network for visuospatial attention, Nat Neurosci source
- Premisecitation
From one individual to another, the volume of the SLF appears different.
“from one individual to another, the volume of the SLF appears different.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [67] Good, 2001, voxel-based morphometric study of ageing in 465 normal adult human brains, Neuroimage source
- cites [68] Hill, 2010, Similar patterns of cortical expansion during human development and evolution, PNAS source
The Results describe differences in cortical surface area among individuals, not differences in superior longitudinal fasciculus (SLF) volume. A search for SLF and superior longitudinal fasciculus found no passage in our copy addressing its volume across individuals; the Discussion's reference to white-matter volume concerns postnatal maturation instead. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
The right SLF II is responsible for faster and preferential visuospatial processing in the right hemisphere.
“the right SLF II is responsible for a faster and preferential visuospatial processing in the right hemisphere (9).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [9] Thiebaut de Schotten, 2011, A lateralized brain network for visuospatial attention, Nat Neurosci source
In “Patterns of Lateralization and Behavioral Correlates,” the paper reports that SLF II lateralization correlates with reaction-time asymmetry and suggests that a larger right SLF II is associated with quicker processing of left-hemifield stimuli. It presents the speed mechanism as a hypothesis and says further studies are needed, so the claim that the right SLF II is responsible for faster processing states a causal conclusion more strongly than the paper does. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingown data
Throughout its length, the SLF III is located inside the AF.
“Indeed, throughout its length, the SLF III is located inside the AF.”
Quote in the paperSubstantial claim - Findingown data
The SLF III corresponds to a sub-division of the AF.
“This figure confirms that the SLF III also corresponds to a sub-division of the AF.”
Quote in the paperSubstantial claim - Premisereasoning
Postmortem dissection is inherently biased toward old age because the brains commonly used are from elderly subjects.
“As the brain commonly used are from elderly subjects, the technique is inherently biased toward old age, and potential effects of exposure to pharmacological treatment, nutritional status, medical condition, and cause of death also represent other potential biases.”
Quote in the paperSubstantial claim - Premisecitation
Postmortem macroscopic dissection is unable to identify the distal terminations of bundles.
“but is also unable to identify the distal terminations of bundles (3, 7).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] Martino, 2013, Analysis of the subcomponents and cortical terminations of the perisylvian superior longitudinal fasciculus: a fiber dissection and DTI tractography study, Brain Struct Funct source
- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
- Interpretationreasoning
Diffusion MRI is reliable in revealing white matter anatomical structures, with a few distinctions.
“To this complex question, we can now safely answer yes, but with a few distinctions.”
Quote in the paperSubstantial claim - Premisecitation
Later in life, degradation of associative pathways due to lesions or neurodegenerative diseases is another cause of intraindividual variability.
“later in life, the degradation of associative pathways due to lesions or neurodegenerative diseases is another cause of intraindividual variability (73).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] MacDonald, 2006, Intra-individual variability in behavior: links to brain structure, neurotransmission and neuronal activity, Trends Neurosci source
- Interpretationreasoning
The left-sided SLF II and III are involved in speech processing.
“the left-sided SLF II and III would definitely be involved in speech processing”
Quote in the paperSubstantial claim - Interpretationreasoning
The SLF is likely involved in different functional correlates.
“As such, it is likely involved in different functional correlates.”
Quote in the paperSubstantial claim - Interpretationreasoning
The right-sided SLF II and III contribute to visuospatial functioning.
“the right-sided SLF II and III would contribute to visuospatial functioning.”
Quote in the paperNot a substantial claim - Interpretationcitation
Some subcomponents of the AF and SLF overlap as if they each share a subdivision: the SLF III and the anterior segment of the AF.
“some of their subcomponents appear to overlap as if they each share a subdivision: the SLF III and the anterior segment of the AF (Figure 4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [70] Catani, 2012, Atlas of Human Brain Connections source
- Interpretationcitation
A strong asymmetry characterizes the SLF II.
“A strong asymmetry also seems to characterize the SLF II.”
Quote in the paperNot a substantial claim - Interpretationreasoning
In the left hemisphere, the SLF III has a role in speech.
“This suggests, in the left hemisphere, a role in speech.”
Quote in the paperSubstantial claim - Premisecitation
Wang et al. identified a strong bias in leftward connections between the supramarginal gyrus and the dorsal precentral gyrus and the caudal middle frontal gyrus.
“Wang et al. (7) identified a strong bias in leftward connections between the supramarginal gyrus with the dorsal precentral gyrus and the caudal middle frontal gyrus.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
- Interpretationnone given
The SLF I connecting the parietal precuneus to the superior frontal gyrus appears assimilable to the cingulum.
“the SLF I connecting the parietal precuneus to the superior frontal gyrus appears assimilable to the cingulum.”
Quote in the paperNot a substantial claim - Premisecitation
Maldonado et al. confirmed the left SLF III role in speech through a brain electrostimulation study.
“This view has been confirmed by Maldonado et al. (78) through a brain electrostimulation study.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [78] Maldonado, 2011, Does the left superior longitudinal fascicle subserve language semantics? A brain electrostimulation study, Brain Struct Funct source
- Premisecitation
The AF can be divided into three segments (a long, anterior, and posterior segment), each connecting two regions of either Broca, Wernicke, or the territory of Geschwind (inferior parietal lobule).
“this bundle can be divided into three segments (a long, anterior, and posterior segment), each connecting two regions of either Broca, Wernicke, or the territory of Geschwind (inferior parietal lobule).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [70] Catani, 2012, Atlas of Human Brain Connections source
- Premisenone given
The SLF III shares similar connectivity with the AF, linking the inferior frontal gyrus with the ventral pre-central gyrus.
“the SLF III shares similar connectivity with the AF, linking the inferior frontal gyrus with the ventral pre-central gyrus.”
Quote in the paperSubstantial claim - Premisecitation
The right SLF II preferentially connects the angular gyrus and the superior parietal lobe with the caudal and rostral middle frontal gyrus, respectively.
“the right SLF II preferentially connects the angular gyrus and the superior parietal lobe with the caudal and rostral middle frontal gyrus, respectively.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
- Interpretationreasoning
Inter- and intra-individual variability in connectivity is more important than previously suspected.
“The inter as well as intra-individual variability in connectivity is more important than previously suspected.”
Quote in the paperSubstantial claim- Rests on an assumption: Some areas and connectivity routes are highly conserved amongst individuals (such as primary areas and large projection bundles), while others are more variable.
- Rests on an assumption: The brain connectivity pattern of an individual is constantly changing, and the density of white matter changes during the development of the individual.
- Rests on an assumption: Individual variability had been underestimated in the past.
- Interpretationreasoning
All classifications including the AF as part of the SLF are misleading.
“all classifications including the AF as part of the SLF are misleading.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The right SLF II plays a role in the regulation of attention in spatial orientation.
“It is presumed that this system plays a role in the regulation of the attention in a spatial orientation.”
Quote in the paperNot a substantial claim - Premisecitation
The right SLF III has a specific connectivity pattern terminating at the right pars triangularis.
“Wang et al. (7) also reported a specific connectivity pattern for the right SLF III terminating at the right pars triangularis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
- Classified as probably not a substantial claim. 24
- May combine two claims. 19
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome studies describe a fifth division of the SLF comprised of a distinct fasciculus that connects the superior temporal gyrus to the superior parietal.
“Indeed, some studies even describe a fifth division of the SLF comprised of a distinct fasciculus (61–63) that would connect the superior temporal gyrus to the superior parietal.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [61] Frey, 2008, Dissociating the human language pathways with high angular resolution diffusion fiber tractography, J Neurosci source
- cites [62] Makris, 2009, Delineation of the middle longitudinal fascicle in humans: A quantitative, in vivo, DT-MRI study, Cerebral Cortex source
The Abstract and Discussion identify the tract as the middle longitudinal fascicle, connecting the superior temporal gyrus to the angular gyrus of the inferior parietal lobule—not the superior parietal region. The Discussion also explicitly describes it as distinct from the SLF, rather than a fifth division of it. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [63] Zhang, 2010, Atlas-guided tract reconstruction for automated and comprehensive examination of the white matter anatomy, Neuroimage source
The Results (Comparison between the automated and manual methods; page unavailable) describe a separately reconstructed SLF segment connecting the parietal and temporal lobes. They do not call it a fifth division or identify its endpoints as the superior temporal gyrus and superior parietal region; the parietal regions specified are the angular and supramarginal gyri. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationClassical DTI postmortem histological validation studies have shown that fiber orientation is correctly represented in large unidirectional fiber bundles, but fails in complex regions with fiber crossings and low anisotropy.
“Classical DTI postmortem histological validation studies have shown that fiber orientation is correctly represented in large unidirectional fiber bundles, but fails in complex regions with fiber crossings and low anisotropy (44–46).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [44] Dauguet, 2007, Comparison of fiber tracts derived from in-vivo DTI tractography with 3D histological neural tract tracer reconstruction on a macaque brain, Neuroimage source
- cites [45] Kaufman, 2005, Anatomical analysis of an aye-aye brain (Daubentonia madagascariensis, primates: prosimii) combining histology, structural magnetic resonance imaging, and diffusion-tensor imaging, Anat Rec A Discov Mol Cell Evol Biol source
The Diffusion-Tensor Imaging section (page unavailable) reports good correspondence between DTI and histological measurements in the cingulum bundle, supporting the claim for coherent fibers. It also finds broader fiber-orientation distributions where anisotropy is low, but does not show that DTI fails there or test regions with crossing fibers. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [46] Fernandez-Miranda, 2008, Three-dimensional microsurgical and tractographic anatomy of the white matter of the human brain, Neurosurgery source
May combine two claims.
PremisecitationA great many studies clearly distinguish the AF and SLF as distinct entities, both anatomically and functionally.
“A great many studies clearly distinguish the 2 bundles as distinct entities, both anatomically and functionally (56, 59, 70, 71, 75, 76).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [56] Thiebaut de Schotten, 2011, Monkey to human comparative anatomy of the frontal lobe association tracts, Cortex source
- cites [59] Cabeen, 2016, Kernel regression estimation of fiber orientation mixtures in diffusion MRI, Neuroimage source
The Results (§5.5; page unavailable) describe the arcuate fasciculus and three portions of the superior longitudinal fasciculus separately, supporting an anatomical distinction. The paper does not address whether they are functionally distinct or establish that a great many studies distinguish them on both grounds. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [70] Catani, 2012, Atlas of Human Brain Connections source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIndividual variability is a correlate of phenotypic variability in general, determined by genetic substrates and environmental exposure.
“This variability is a correlate of the phenotypic variability in general, determined by the genetic substrates and the environmental exposure that shapes this diversity for any trait, including the brain's anatomy, (68)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [68] Hill, 2010, Similar patterns of cortical expansion during human development and evolution, PNAS source
The Discussion considers intrinsic and extrinsic signals in the maturation of cortical areas and suggests that postnatal experience may contribute to development in some regions. It does not address whether genetic substrates and environmental exposure determine variability among individuals or phenotypic variability across traits (searched: individual variability, genetics, environment, and phenotype). (LLM, conf=0.72)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe SLF is a fronto-parietal tract connecting the frontal and parietal cortices, and it is a massive bundle connecting widespread areas of the frontal and parietal lobes.
“the SLF is in its essence a fronto-parietal tract, hence connecting the frontal and parietal cortices”
- Also stated in: § Functional Correlates of SLF · plain
“The SLF is a massive bundle connecting widespread areas of the frontal and the parietal lobes.”
Quote in the paperSubstantial claim1 of 2 sources checked- Also stated in: § Functional Correlates of SLF · plain
May combine two claims.
PremisecitationThe AF is recognized as a distinctive bundle with connection areas and a trajectory different from that of the SLF.
“the AF is recognized as a distinctive bundle with connection areas and a trajectory different from that of the SLF”
Quote in the paperSubstantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationFractional anisotropy of the SLF varies between individuals, but less importantly than volume.
“Fractional anisotropy of SLF also varies between individuals, but less importantly, than volume (67, 68).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [67] Good, 2001, voxel-based morphometric study of ageing in 465 normal adult human brains, Neuroimage source
- cites [68] Hill, 2010, Similar patterns of cortical expansion during human development and evolution, PNAS source
The Results and Materials and Methods passages discuss individual differences in cortical surface area and patterns of cortical expansion, not the superior longitudinal fasciculus (SLF). Searches for SLF fractional anisotropy and its variability relative to volume found no passage addressing the claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe AF is a fronto-temporal tract that passes through the parietal white matter beneath the SLF.
“whereas the AF is a fronto-temporal tract that passes through the parietal white matter beneath the SLF (55, 56).”
Quote in the paperSubstantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationA lot of prior work in the literature and anatomy textbooks is based on non-human primates, which present a rather different connectivity anatomy, thus steering the nomenclature toward a biased pattern.
“a lot of the prior work which has made its way in the literature and anatomy textbooks is based on non-human primates, which present a rather different connectivity anatomy, thus steering the nomenclature toward a biased pattern (5, 56).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [5] Mandonnet, 2018, The nomenclature of human white matter association pathways: proposal for a systematic taxonomic anatomical classification, Front Neuroanat source
- cites [56] Thiebaut de Schotten, 2011, Monkey to human comparative anatomy of the frontal lobe association tracts, Cortex source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningThe SLF is likely to be one of the most affected fiber bundles whenever surgery for an intrinsic brain tumor is undertaken.
“As such, this fiber bundle is likely to be one of the most affected whenever we undertake a surgery for an intrinsic brain tumor.”
Quote in the paperNot a substantial claim- Rests on an assumption: The SLF is part of the longitudinal association fiber system, which lays connections between the frontal lobe and other areas of the ipsilateral hemisphere.
- Rests on an assumption: The SLF connects the perisylvian areas in the hemisphere (frontal, temporal, and parietal).
Classified as probably not a substantial claim. May combine two claims.
Interpretationnone givenThe superior longitudinal fasciculus lacks a clear anatomical definition, and a lot of confusion and overlap surrounds this entity.
“However, this is not the case, and a lot of confusion and overlap surrounds this entity.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningThere are asymmetric findings between the right and left SLF.
“It stands to reason that there would be asymmetric findings between both SLF.”
Quote in the paperSubstantial claim- Rests on an assumption: There is a clear asymmetry in speech function (left-sided characteristically) and visuospatial functioning (right-sided characteristically).
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBernal & Altman's DTI study found that projection to Broca's area was minimal or absent in the majority of cases.
“In this diffusion tensor imaging study, the SLF of 12 normal right-handed participants was assessed to find that projection to Broca's area was minimal or absent in the majority of cases.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [57] Bernal, 2010, The connectivity of the superior longitudinal fasciculus: A tractography DTI study, Magn Reson Imaging source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWang et al. consider the SLF as only composed of a dorsal (SLF II) and a ventral (SLF III) segment.
“Hence, they consider the SLF as only composed of a dorsal (SLF II) and a ventral (SLF III) segment.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWang et al. found a slight asymmetric difference in all SLF sub-components with a tendency toward right-hemispheric dominance.
“Wang et al., on the other hand, found a slight asymmetric difference in all SLF sub-component with a tendency toward right-hemispheric dominance (7).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn Wang et al.'s construct, the SLF II represents 66% of the total volume, whereas the SLF III about 33%.
“In this construct, the SLF II represents 66% of the total volume, whereas the SLF III about 33%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationWang et al. concluded that there is a high discrepancy between the simian and human anatomy, so all conclusions derived from the study of the former cannot be applied to the latter.
“The first conclusion is that there is a high discrepancy between the simian and human anatomy; hence, all conclusions derived from the study of the former cannot be applied to the latter.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThere is no such thing as a singular brain blueprint.
“There is no such thing as a singular brain blueprint!”
Quote in the paperNot a substantial claim- Rests on an assumption: Some areas and connectivity routes are highly conserved amongst individuals (such as primary areas and large projection bundles), while others are more variable.
- Rests on an assumption: The brain connectivity pattern of an individual is constantly changing, and the density of white matter changes during the development of the individual.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe inclusion of the AF as the 4th component of the SLF is far from unanimous and remains a subject of controversy in the nomenclature.
“However, the inclusion of the AF as the 4th component of the SLF is far from unanimous and remains a subject of controversy in the nomenclature that is addressed in a later section of this study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe lateralization of SLF II subcomponents is dominant in the left hemisphere.
“other researchers found the SLF II subcomponents' lateralization to be dominant in the left hemisphere (7, 56, 72).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
- cites [56] Thiebaut de Schotten, 2011, Monkey to human comparative anatomy of the frontal lobe association tracts, Cortex source
- cites [72] Vernooij, 2007, Fiber density asymmetry of the arcuate fasciculus in relation to functional hemispheric language lateralization in both right- and left-handed healthy subjects: a combined fMRI and DTI study, Neuroimage source
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationcitationThis is an illustration of the poor consensus on the precise anatomical definition of white matter bundles.
“This is an illustration of the poor consensus on the precise anatomical definition of white matter bundles.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningSome difference in connectivity between the hemispheres is expected.
“some difference in connectivity is expected.”
Quote in the paperNot a substantial claim- Rests on an assumption: There is a clear asymmetry in speech function (left-sided characteristically) and visuospatial functioning (right-sided characteristically).
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe first three SLF subdivisions are usually reported alike in most studies, except for a few minor differences.
“The first three SLF subdivisions are usually reported alike in most studies, except for a few minor differences (Figure 2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationWang et al.'s findings are provocative, differing from the rest of the literature and challenging the current knowledge on the SLF.
“Their findings are rather provocative, differing from the rest of the literature and challenging the current knowledge on the SLF.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe leftward lateralization of SLF II is functionally related to its role in language.
“This would functionally be related to its role in language.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationThis finding contradicts the preconceived SLF structure and role, and does not represent the dominant consensus.
“This finding contradicts the preconceived SLF structure and role, and does not represent the dominant consensus.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMartino et al. used dMRI and cortex-sparing fiber dissection and concluded that there were two segments to the SLF, an anterior and a posterior segment.
“Martino et al. used dMRI and cortex-sparing fiber dissection and came to the conclusion that there were two segments to the SLF, an anterior and a posterior segment, much like Martino et al. and Wang et al. (3, 7).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3] Martino, 2013, Analysis of the subcomponents and cortical terminations of the perisylvian superior longitudinal fasciculus: a fiber dissection and DTI tractography study, Brain Struct Funct source
- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
May combine two claims.
PremisecitationLong associative axons comprise only 2% of the total intrahemispheric cortico-cortical fibers, and 98% of the fibers are short U-fibers.
“these long associative axons comprise only 2% of the total intrahemispheric cortico-cortical fibers and that 98% of the fibers are short U-fibers (74).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] Duffau, 2012 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationOther authors also support the idea that the SLF is indeed comprised of two main divisions.
“Other authors also support the idea that the SLF is indeed comprised of two main divisions.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe left SLF II has a role in motor planning of speech and/or syntax processing.
“This would be in keeping with a role for the left SLF II in motor planning of speech and/or syntax processing.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningThe asymmetry between the hemispheres must translate into obvious functional implications.
“As the bundle depicts clear asymmetry between both hemispheres, this must translate into obvious functional implications.”
Quote in the paperNot a substantial claim- Rests on an assumption: There is a clear asymmetry in speech function (left-sided characteristically) and visuospatial functioning (right-sided characteristically).
May combine two claims.
PremisecitationThe anterior segment of the AF appears to correspond to the SLF III, and the two terms are used interchangeably.
“the anterior segment of the AF appears to somehow correspond to the SLF III, and the two terms are used interchangeably.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] Catani, 2012, Atlas of Human Brain Connections source
May combine two claims.
InterpretationreasoningThe SLF II and III are clearly defined as distinct entities that are asymmetrical in their function and presumably in their role.
“The SLF II and III are clearly defined as distinct entities that are asymmetrical in their function as well as presumably in their role”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe right SLF III connectivity pattern is probably involved in spatial awareness functioning.
“According to some authors, this connectivity pattern is probably involved in spatial awareness functioning (7).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Wang, 2016, Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain, Brain Struct Funct source
Classified as probably not a substantial claim.
Interpretationnone givenThe SLF in its current definition is not a consensual entity.
“the SLF itself in its current definition is not a consensual entity.”
Quote in the paperSubstantial claim- Rests on an assumption: Individual variability had been underestimated in the past.
Classified as probably not a substantial claim.
InterpretationreasoningThe definition of the SLF as connecting the frontal to the parietal lobe allows a clear distinction with the AF, which connects the frontal lobe to the temporal lobe.
“the very definition of the SLF, connecting the frontal to the parietal lobe, allows a clear distinction with the AF, connecting the frontal lobe to the temporal lobe.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe existence and role of the SLF I are unclear at this time.
“its existence, as well as its role is unclear at this time.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The SLF is part of the longitudinal association fiber system, which lays connections between the frontal lobe and other areas of the ipsilateral hemisphere.
“The superior longitudinal fasciculus (SLF) is part of the longitudinal association fiber system, which lays connections between the frontal lobe and other areas of the ipsilateral hemisphere.”
The paper relies on this without support.
The SLF connects the perisylvian areas in the hemisphere (frontal, temporal, and parietal).
“To put it simply, it connects the perisylvian areas in the hemisphere (frontal, temporal, and parietal).”
The paper relies on this without support.
There is a clear asymmetry in speech function (left-sided characteristically) and visuospatial functioning (right-sided characteristically).
“As there is a clear asymmetry in speech function (left-sided characteristically) and visuospatial functioning (right-sided characteristically)”
The paper relies on this without support.
Some areas and connectivity routes are highly conserved amongst individuals (such as primary areas and large projection bundles), while others are more variable.
“Although some areas and connectivity routes are highly conserved amongst individuals (such as primary areas and large projection bundles), others are more variable.”
The paper relies on this without support.
The brain connectivity pattern of an individual is constantly changing, and the density of white matter changes during the development of the individual.
“the brain connectivity pattern of an individual is constantly changing, and the density of white matter has been shown to change during the development of the individual.”
The paper relies on this without support.
Individual variability had been underestimated in the past.
“the individual variability had been underestimated in the past.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Left SLF II origin conflicts with the Wang et al. table entry
MajorThe text attributes a left SLF II connection from the supramarginal gyrus to Wang et al., but Table 1 lists the angular gyrus as the origin of Wang et al.'s left SLF II. The table instead assigns the supramarginal gyrus to the left SLF III.
“In the left hemisphere, the connectivity pattern was in keeping with a predominant functional role in speech (connections between the supramarginal gyrus with the dorsal precentral gyrus and caudal middle frontal gyrus).”
“Dorsal segment (SLF II) in the left hemisphere | Angular gyrus, Brodmann Areas (BA) 39 | Caudal middle frontal gyrus and dorsal precentral gyrus”
Wang et al. are cited for opposite SLF lateralization patterns
MinorThe lateralization section cites Wang et al. (7) among studies finding left-dominant SLF II lateralization, then says Wang et al. found a tendency toward right-hemispheric dominance in all SLF subcomponents, which includes SLF II.
“other researchers found the SLF II subcomponents' lateralization to be dominant in the left hemisphere (7, 56, 72).”
“Wang et al., on the other hand, found a slight asymmetric difference in all SLF sub-component with a tendency toward right-hemispheric dominance (7).”
Cites
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,239 · see citing works
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561 · see citing works
Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging
Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 3,479 · see citing works
Diffusion tensor imaging of the brain
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.011 · Cited by 2,747 · see citing works
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664 · see citing works
Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20508 · Cited by 2,488 · see citing works
Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880 · see citing works
Reproducibility of quantitative tractography methods applied to cerebral white matter
Wakana, S., Caprihan, A., Panzenboeck, M. M., Fallon, J. H., Perry, M., Gollub, R. L., Hua, K., Zhang, J., Jiang, H., Dubey, P., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.049 · Cited by 1,686 · see citing works
Network structure of cerebral cortex shapes functional connectivity on multiple time scales
Honey, C. J., Kötter, R., Breakspear, M. J., & Sporns, O. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701519104 · Cited by 1,683 · see citing works
Tractography-based connectomes are dominated by false-positive connections
Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,361 · see citing works
Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging
Wedeen, V. J., Hagmann, P., Tseng, W. I., Reese, T. G., & Weisskoff, R. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20642 · Cited by 1,339 · see citing works
Makris, N., Kennedy, D. N., McInerney, S., Sorensen, A. G., Wang, R., Caviness, V. S., & Pandya, D. N. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh186 · Cited by 1,146 · see citing works
A lateralized brain network for visuospatial attention
de Schotten, M. T., Dell'Acqua, F., Forkel, S. J., Simmons, A., Vergani, F., Murphy, D. G. M., & Catani, M. (2011) · Nature Neuroscience · doi:10.1038/nn.2905 · Cited by 1,103 · cited 2× · see citing works
“This is in keeping with the fact that the right SLF II is responsible for a faster and preferential visuospatial processing in the right hemisphere (9).”
BackgroundResultProjections to the frontal cortex from the posterior parietal region in the rhesus monkey
Petrides, M., & Pandya, D. (1984) · The Journal of comparative neurology · doi:10.1002/cne.902280110 · Cited by 1,100 · see citing works
Jeurissen, B., Leemans, A., Tournier, J., Jones, D. K., & Sijbers, J. (2013) · Human Brain Mapping · doi:10.1002/hbm.22099 · Cited by 1,088 · see citing works
Cortico-cortical connections in the rhesus monkey
Pandya, D. Ν., & Kuypers, H. G. J. M. (1969) · Brain Research · doi:10.1016/0006-8993(69)90141-3 · Cited by 1,085 · see citing works
Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers
Wedeen, V. J., Wang, R., Schmahmann, J. D., Benner, T., Tseng, W. I., Dai, G., Pandya, D. Ν., Hagmann, P., D'Arceuil, H. E., & de Crespigny, A. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.036 · Cited by 941 · see citing works
Regularized, fast, and robust analytical Q-ball imaging
Descoteaux, M., Angelino, E., Fitzgibbons, S., & Deriche, R. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21277 · Cited by 850 · see citing works
Similar patterns of cortical expansion during human development and evolution
Hill, J., Inder, T., Neil, J., Dierker, D., Harwell, J., & Van Essen, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001229107 · Cited by 811 · see citing works
Hagmann, P., Jonasson, L., Maeder, P. P., Thiran, J., Wedeen, V. J., & Meuli, R. A. (2006) · Radiographics · doi:10.1148/rg.26si065510 · Cited by 762 · see citing works
MacDonald, S. W. S., Nyberg, L., & Bäckman, L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.06.011 · Cited by 664 · see citing works
Thiebaut de Schotten, M., ffytche, D. H., Bizzi, A., Dell'Acqua, F., Allin, M., Walshe, M., Murray, R., Williams, S. C., Murphy, D. G. M., & Catani, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.055 · Cited by 656 · see citing works
Myelin and iron concentration in the human brain: a quantitative study of MRI contrast
Stüber, C., Morawski, M., Schäfer, A., Labadie, C., Wähnert, M., Leuze, C., Streicher, M., Barapatre, N., Reimann, K., Geyer, S., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.026 · Cited by 635 · see citing works
Monkey to human comparative anatomy of the frontal lobe association tracts
Thiebaut de Schotten, M., Dell’Acqua, F., Valabregue, R., & Catani, M. (2012) · Cortex · doi:10.1016/j.cortex.2011.10.001 · Cited by 632 · see citing works
Tractography: Where Do We Go from Here?
Jbabdi, S., & Johansen-Berg, H. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0033 · Cited by 614 · see citing works
Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings
Mukherjee, P., Berman, J., Chung, S. W., Hess, C. P., & Henry, R. G. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1051 · Cited by 510 · see citing works
Amunts, K., Weiss, P. H., Mohlberg, H., Pieperhoff, P., Eickhoff, S., Gurd, J. M., Marshall, J. C., Shah, N. J., Fink, G. R., & Zilles, K. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.031 · Cited by 475 · see citing works
Atlas of Human Brain Connections
Catani, M., & Thiebaut de Schotten, M. (2012) · doi:10.1093/med/9780199541164.001.0001 · Cited by 467 · cited 4× · see citing works
“de Schotten (70) dMRI SLF I Parietal precuneus Medial and superior surface of the”
BackgroundInfluentialDissociating the human language pathways with high angular resolution diffusion fiber tractography
Frey, S., Campbell, J. S. W., Pike, G. B., & Petrides, M. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2388-08.2008 · Cited by 448 · see citing works
Imaging brain microstructure with diffusion MRI: practicality and applications
Alexander, D. C., Dyrby, T. B., Nilsson, M., & Zhang, H. G. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3841 · Cited by 423 · see citing works
Three-dimensional microsurgical and tractographic anatomy of the white matter of the human brain
Fernández-Miranda, J. C., Rhoton, A. L., Álvarez-Linera, J., Kakizawa, Y., Choi, C., & de Oliveira, E. P. (2008) · Neurosurgery · doi:10.1227/01.neu.0000333767.05328.49 · Cited by 347 · see citing works
Vernooij, M. W., Smits, M., Wielopolski, P. A., Houston, G. C., Krestin, G. P., & van der Lugt, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.041 · Cited by 316 · see citing works
Zhang, Y., Zhang, J., Oishi, K., Faria, A. V., Jiang, H., Li, X., Akhter, K., Rosa-Neto, P., Pike, G. B., Evans, A., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.049 · Cited by 297 · see citing works
Kamali, A., Flanders, A. E., Brody, J., Hunter, J. V., & Hasan, K. M. (2013) · Brain Structure and Function · doi:10.1007/s00429-012-0498-y · Cited by 297 · see citing works
Quantitative magnetic resonance of postmortem multiple sclerosis brain before and after fixation
Schmierer, K., Wheeler‐Kingshott, C. A. M., Tozer, D. J., Boulby, P. A., Parkes, H. G., Yousry, T. A., Scaravilli, F., Barker, G. J., Tofts, P. S., & Miller, D. H. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21487 · Cited by 281 · see citing works
Individual variability in functional connectivity predicts performance of a perceptual task
Baldassarre, A., Lewis, C. M., Committeri, G., Snyder, A. Z., Romani, G. L., & Corbetta, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113148109 · Cited by 281 · see citing works
Martino, J., De Witt Hamer, P. C., Berger, M. S., Lawton, M. T., Arnold, C. M., de Lucas, E. M., & Duffau, H. (2013) · Brain Structure and Function · doi:10.1007/s00429-012-0386-5 · Cited by 280 · see citing works
MRI-Based Topographic Parcellation of Human Cerebral White Matter and Nuclei
Makris, N., Meyer, J. W., Bates, J. F., Yeterian, E. H., Kennedy, D. N., & Caviness, V. S. (1999) · NeuroImage · doi:10.1006/nimg.1998.0384 · Cited by 259 · see citing works
Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain
Wang, X., Pathak, S., Stefaneanu, L., Yeh, F.-C., Li, S., & Fernandez-Miranda, J. C. (2016) · Brain Structure and Function · doi:10.1007/s00429-015-1028-5 · Cited by 257 · see citing works
Beyond cortical localization in clinico-anatomical correlation.
Catani, M., Dell'Acqua, F., Bizzi, A., Forkel, S., Williams, S. C. R., Simmons, A., Murphy, D., & de Schotten, M. T. (2012) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2012.07.001 · Cited by 244 · see citing works
High-Definition Fiber Tractography of the Human Brain
Fernandez-Miranda, J. C., Pathak, S., Engh, J. A., Jarbo, K., Verstynen, T., Yeh, F.-C. F., Wang, Y., Mintz, A. H., Boada, F. E., Schneider, W., et al. (2012) · Neurosurgery · doi:10.1227/neu.0b013e3182592faa · Cited by 237 · see citing works
Validation of in vitro probabilistic tractography
Dyrby, T. B., Søgaard, L. V., Parker, G. J., Alexander, D. C., Lind, N. M., Baaré, W. F. C., Hay-Schmidt, A., Eriksen, N., Pakkenberg, B., Paulson, O. B., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.022 · Cited by 236 · see citing works
Dauguet, J., Peled, S., Berezovskii, V., Delzescaux, T., Warfield, S. K., Born, R., & Westin, C.-F. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.067 · Cited by 233 · see citing works
Delineation of the middle longitudinal fascicle in humans: A quantitative, in vivo, DT-MRI study
Makris, N., Papadimitriou, G. M., Kaiser, J. R., Sorg, S., Kennedy, D. N., & Pandya, D. N. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn124 · Cited by 214 · see citing works
Brain Hodotopy: From Esoteric Concept to Practical Surgical Applications
BENEDICTIS, A. D., & Duffau, H. (2011) · Neurosurgery · doi:10.1227/neu.0b013e3182124690 · Cited by 186 · see citing works
Archip, N., Olivier Clatz, A., Whalen, S., Kacher, D., Fedorov, A., Kot, A., Chrisochoides, N. P., Jolesz, F. A., Golby, A. J., Black, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.060 · Cited by 184 · see citing works
Schilling, K. G., Rheault, F., Petit, L., Hansen, C. B., Nath, V., Yeh, F.-C., Girard, G., Barakovic, M., Rafael-Patino, J., Yu, T., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118502 · Cited by 182 · see citing works
Hecht, E. E., Gutman, D. A., Bradley, B. A., Preuss, T. M., & Stout, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.039 · Cited by 175 · cited 4× · see citing works
“The other finding has to do with the volume of the bundles; overall, the right-sided SLF as a whole appears more voluminous than on the left (3, 55).”
BackgroundInfluentialMartino, J., De Witt Hamer, P. C., Vergani, F., Brogna, C., de Lucas, E. M., Vázquez‐Barquero, A., García‐Porrero, J. A., & Duffau, H. (2011) · Journal of Anatomy · doi:10.1111/j.1469-7580.2011.01414.x · Cited by 174 · see citing works
The connectivity of the superior longitudinal fasciculus: A tractography DTI study
Bernal, B., & Altman, N. (2010) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2009.07.008 · Cited by 170 · see citing works
Maldonado, I. L., Moritz-Gasser, S., & Duffau, H. (2011) · Brain Structure and Function · doi:10.1007/s00429-011-0309-x · Cited by 161 · see citing works
Histological validation of high-resolution DTI in human post mortem tissue
Seehaus, A., Roebroeck, A., Bastiani, M., Fonseca, L., Bratzke, H., Lori, N., Vilanova, A., Goebel, R., & Galuske, R. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00098 · Cited by 149 · see citing works
The Complex History of the Fronto-Occipital Fasciculus
Schmahmann, J. D., & Pandya, D. Ν. (2007) · Journal of the History of the Neurosciences · doi:10.1080/09647040600620468 · Cited by 147 · see citing works
Benedictis, A. D., Duffau, H., Paradiso, B., Grandi, E., Balbi, S., Granieri, E., Colarusso, E., Chioffi, F., Marras, C., & Sarubbo, S. (2014) · Journal of Anatomy · doi:10.1111/joa.12204 · Cited by 140 · see citing works
Attention and spatial cognition: Neural and anatomical substrates of visual neglect
Lunven, M., & Bartolomeo, P. (2016) · Annals of Physical and Rehabilitation Medicine · doi:10.1016/j.rehab.2016.01.004 · Cited by 119 · see citing works
Mandonnet, E., Sarubbo, S., & Petit, L. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00094 · Cited by 117 · see citing works
Quantitative assessment of diffusional kurtosis anisotropy
Glenn, G. R., Helpern, J. A., Tabesh, A., & Jensen, J. H. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3271 · Cited by 113 · see citing works
De Benedictis, A., Petit, L., Descoteaux, M., Marras, C. E., Barbareschi, M., Corsini, F., Dallabona, M., Chioffi, F., & Sarubbo, S. (2016) · Human Brain Mapping · doi:10.1002/hbm.23339 · Cited by 97 · see citing works
Abhinav, K., Yeh, F.-C. F., Mansouri, A., Zadeh, G. M., & Fernandez-Miranda, J. C. (2015) · Neuro-Oncology · doi:10.1093/neuonc/nov113 · Cited by 88 · see citing works
MRI-Based Topographic Parcellation of Human Cerebral White Matter
Meyer, J. W., Makris, N., Bates, J. F., Caviness, V. S., & Kennedy, D. N. (1999) · NeuroImage · doi:10.1006/nimg.1998.0383 · Cited by 84 · see citing works
Diffusion Tractography: Methods, Validation and Applications in Patients with Neurosurgical Lesions
Leclercq, D., Delmaire, C., de Champfleur, N. M., Chiras, J., & Lehéricy, S. (2011) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2010.11.004 · Cited by 82 · see citing works
Kawamura, K., & Naito, J. (1984) · Neuroscience Research · doi:10.1016/s0168-0102(84)80007-3 · Cited by 68 · see citing works
Chu, W.-S., Furusato, B., Wong, K., Sesterhenn, I. A., Mostofi, F. K., Wei, M. Q., Zhu, Z., Abbondanzo, S. L., & Liang, Q. (2005) · Modern Pathology · doi:10.1038/modpathol.3800354 · Cited by 60 · see citing works
Zemmoura, I., Serres, B., Andersson, F., Barantin, L., Tauber, C., Filipiak, I., Cottier, J.-P., Venturini, G., & Destrieux, C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.016 · Cited by 56 · see citing works
Kaufman, J. A., Ahrens, E. T., Laidlaw, D. H., Zhang, S., & Allman, J. M. (2005) · The Anatomical Record Part A: Discoveries in Molecular, Cellular, and Evolutionary Biology · doi:10.1002/ar.a.20264 · Cited by 54 · see citing works
MRI artifacts in human brain tissue after prolonged formalin storage
van Duijn, S., Nabuurs, R. J. A., van Rooden, S., Maat‐Schieman, M. L. C., van Duinen, S. G., van Buchem, M. A., van der Weerd, L., & Natté, R. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22758 · Cited by 53 · see citing works
(2012) · doi:10.1007/978-3-7091-0723-2 · Cited by 50 · see citing works
McDonald, C. R., White, N. S., Farid, N., Lai, G., Kuperman, J. M., Bartsch, H., Hagler, D. J., Kesari, S., Carter, B. S., Chen, C. C., et al. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3372 · Cited by 49 · see citing works
Brain Mapping: From Neural Basis of Cognition to Surgical Applications
Kubben, P. (2012) · Europe PMC (PubMed Central) · Cited by 47 · see citing works
Takahashi, E., Song, J. W., Folkerth, R. D., Grant, P. E., & Schmahmann, J. D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.042 · Cited by 47 · see citing works
Maldonado, I. L., Mandonnet, E., & Duffau, H. (2011) · The Anatomical Record · doi:10.1002/ar.21533 · Cited by 40 · see citing works
Fitzgerald, J., Leemans, A., Kehoe, E. G., O’Hanlon, E., Gallagher, L., & McGrath, J. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13655 · Cited by 40 · see citing works
The role of diffusion tractography in refining glial tumor resection
Vanderweyen, D., Theaud, G., Sidhu, J., Rheault, F., Sarubbo, S., Descoteaux, M., & Fortin, D. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02056-z · Cited by 40 · see citing works
Self-citationKernel regression estimation of fiber orientation mixtures in diffusion MRI
Cabeen, R. P., Bastin, M. E., & Laidlaw, D. H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.061 · Cited by 37 · see citing works
Kurtosis analysis of neural diffusion organization
Hui, E. S. K., Glenn, G. R., Helpern, J. A., & Jensen, J. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.015 · Cited by 34 · see citing works
Subdividing the superior longitudinal fasciculus using local quantitative MRI
Schurr, R., Zelman, A., & Mezer, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116439 · Cited by 31 · see citing works
Vavassori, L., Sarubbo, S., & Petit, L. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02265-0 · Cited by 27 · see citing works
Editorial: Beyond diffusion tensor imaging
Fernandez-Miranda, J. C. (2013) · Journal of neurosurgery · doi:10.3171/2012.10.jns121800 · Cited by 26 · see citing works
Maldonado, I. L., Mandonnet, E., & Duffau, H. (2012) · The Anatomical Record · doi:10.1002/ar.22462 · Cited by 3 · see citing works
Schmahmann, J. D., & Pandya, D. Ν. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195104233.003.0019 · Cited by 2 · see citing works
Basser (2000) · doi:10.1002/1522-2594(200010)44:4
Flagged first, then by citations
Research works printed but not linked: 2
- Descoteaux, 2015, Wiley Encyclopedia of Electrical and Electronics Engineering (EEEE), High Angular Resolution Diffusion Imaging (HARDI)
- Rheault, 2016, MI-Brain, a Software to Handle Tractograms and Perform Interactive Virtual Dissection
Cited by
Sorted by citations
The Cortical and Subcortical Neural Control of Swallowing: A Narrative Review
Wei, K., Wang, T., & Hsiao, M. (2023) · Dysphagia · doi:10.1007/s00455-023-10613-x · Cited by 50 · see citing works
“The SLF is an association tract connecting the frontal, occipital, parietal, and temporal lobes and transmitting cortical neural signals across long and short distances [107].”
Bayoumi, A., Hasan, K. M., Thomas, J. A., Yazdani, A., & Lincoln, J. A. (2024) · Multiple Sclerosis Journal · doi:10.1177/13524585241280842 · Cited by 37 · see citing works
“44 Our decision to use the average of left and right DTI-ALPS-indices was guided by a previous study that showed higher reproducibility with bilateral measurements.”
The shared genetic architecture and evolution of human language and musical rhythm
Alagöz, G., Eising, E., Mekki, Y., Bignardi, G., Fontanillas, P., Aslibekyan, S. W., Auton, A., Babalola, E., Bell, R. K., Bielenberg, J., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-02051-y · Cited by 39 · see citing works
“To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ Response to reviewers’ comments for Nature Human Behaviour manuscript NATHUMBEHAV-23103300-T titled “The shared genetic architecture and evolution of human language and musical rhythm” - Author responses are in blue.”
InfluentialZhao, J., Huang, C., Zhang, Y., Liu, Y., Tsai, S., Lin, C., & Lo, C. Z. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02520-4 · Cited by 33 · see citing works
“In addition, the superior longitudinal fasciculus is a prominent associative fiber bundle connecting wide areas of the frontal and parietal cortex, which is related to language function, motor regulation and visuospatial processing [55].”
BackgroundSecondary neurodegeneration following Stroke: what can blood biomarkers tell us?
Brunelli, S., Giannella, E., Bizzaglia, M., Angelis, D. D., & Sancesario, G. M. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1198216 · Cited by 30 · see citing works
Imaging of the superficial white matter in health and disease
Dyken, P. C. V., KHAN, A. R., & Palaniyappan, L. K. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00221 · Cited by 23 · see citing works
“This proposal has been disputed in other work ( Janelle et al., 2022).”
Resultde Rezende, T. J. R., Petit, E., Park, Y. W., et al. (2024) · Movement Disorders · doi:10.1002/mds.29934 · Cited by 23 · see citing works
“61 Visuospatial impairment was noted in later-stage SCA3, 62 and our fi nding motivates assessment of visuospatial de fi cits in early disease.”
Blasi, V., Rapisarda, L., Cacciatore, D. M., Palumbo, E., Tella, S. D., Borgnis, F., & Baglio, F. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13048-6 · Cited by 20 · see citing works
Çini, N., Pennisi, M., Genç, S., Spandidos, D. A., Falzone, L., Mitsias, P., Tsatsakis, A., & Taghizadehghalehjoughi, A. (2024) · Oncology Report · doi:10.3892/or.2024.8798 · Cited by 17 · see citing works
“However, some studies in the literature are not concordant indicating that SLF is greater on the right side than on the left side (47,51), while other studies have claimed that SLF II is dominant on the left side through multiple components (49,52).”
BackgroundResultWhole-brain white matter variation across childhood environments
Carozza, S., Kletenik, I., Astle, D. E., Schwamm, L. H., & Dhand, A. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2409985122 · Cited by 19 · see citing works
“The SLF is the largest association tract of the brain, linking the frontal lobe to numerous ipsilateral regions (29); the SF connects the frontal lobe and basal ganglia by way of striatum (30).”
Gong, Z., Bilgel, M., An, Y., Bergeron, C. M., Bergeron, J., Zukley, L. M., Ferrucci, L., Resnick, S. M., & Bouhrara, M. (2024) · Brain Communications · doi:10.1093/braincomms/fcae412 · Cited by 17 · see citing works
Baj, J., Kowalska, B., Flieger, W., et al. (2023) · Nutrients · doi:10.3390/nu15122799 · Cited by 15 · see citing works
“The superior longitudinal fasciculus is the largest associative fiber bundle system in the brain that connects large areas of the frontal and parietal lobes [54].”
BackgroundHumanBrainAtlas: an in vivo MRI dataset for detailed segmentations
Schira, M. M., Isherwood, Z. J., Kassem, M. S., Barth, M., Shaw, T. B., Roberts, M. M., & Paxinos, G. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02653-8 · Cited by 17 · see citing works
“Directional information reveals their borders where blue identifies a dorsal–ventral direction of fibres, into the superior frontal gyrus (slf I) and green, anterior–posterior (slf II), into the medial frontal gyrus (Janelle et al. 2022).”
BackgroundDiffusion along the perivascular space influenced by handedness and language lateralisation
Perlaki, G., Dudás, B., Horváth, R. A., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf252 · Cited by 14 · see citing works
“41,42 Unfortunately, due to the close proximity and the potential spatial overlap of SLF and AF 43 and because their names are often used interchangeably in the literature, previous studies may represent results mixed from both tracts.”
Computational memory capacity predicts aging and cognitive decline
Mijalkov, M., Storm, L., Gerbolés, B. Z., Veréb, D., Xu, Z., Canal-García, A., Sun, J., Chang, Y.-W., Zhao, H., Gómez-Ruiz, E., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-57995-0 · Cited by 13 · see citing works
“The manuscript is well-structured and effectively presents the authors' excellent research.”
The right hemisphere’s capacity for language: evidence from primary progressive aphasia
Neophytou, K., Wiley, R. W., Litovsky, C. P., Tsapkini, K., & Rapp, B. C. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad258 · Cited by 11 · see citing works
Burnett, J., Cobden, A. L., Burmester, A., Akhlaghi, H., D, J. F. D., & Caeyenberghs, K. (2025) · Cortex · doi:10.1016/j.cortex.2025.04.011 · Cited by 11 · see citing works
“Moreover, segmentation of the SLF in prior studies has often relied on anatomical landmarks that can vary across individuals, potentially introducing variability in tract identification (Janelle et al., 2022).”
Cheng, X., Wang, W., Sun, C., Sun, Y., & Zhou, C. (2023) · Journal of Obesity · doi:10.1155/2023/7966540 · Cited by 10 · see citing works
Wu, L., Wang, Z., Zhou, X., Kong, Q., Zhang, Y., Xu, S., Huang, H., & Luo, X. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29121 · Cited by 10 · see citing works
“36,37 It interconnects nearly all cortical areas of the lateral cerebral hemisphere and is associated with higher cognitive function and motor function.”
Zhao, H., Rong, B., Gao, G., Zhou, M., Huang, J., Tu, N., Bu, L., Xiao, L., & Wang, G. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1364786 · Cited by 10 · see citing works
“A recent study focusing on the SLF proposed that the SLF might play different roles in different hemispheres: the left SLF has a greater involvement in processing language, while the right SLF is closely related to visual spatial processing (41).”
BackgroundEarly life adversity and white matter microstructural organization—a systematic review
Mitchell, O., Roddy, D. W., & Connaughton, M. (2025) · Brain Imaging and Behavior · doi:10.1007/s11682-025-01007-8 · Cited by 10 · see citing works
“The SLF, regarded as part of the visuospatial attention network, is important in the initiation of movement and higher order control of body-centered action (Naidich et al., 2013), as well as being involved in the control of eye movement and attention (Janelle et al., 2022).”
White matter tracts contribute selectively to cognitive functioning in patients with glioma
Andreoli, M., Mackie, M., Aaby, D., & Tate, M. C. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1221753 · Cited by 10 · see citing works
“The SLF is considered to be the largest association bundle in the human brain and is composed of three segments that connect widespread regions of the frontal and parietal lobe (42).”
Ronderos, J., Zuk, J., Hernández, A. E., & Vaughn, K. A. (2024) · Human Brain Mapping · doi:10.1002/hbm.26608 · Cited by 10 · see citing works
“…(Glauche & Abel, 2008; Middlebrooks et al., 2017), processing complex syntactic structures (Friederici, 2012; Wilson et al., 2011), and supporting phonological planning and processing for language and reading processing (Janelle et al., 2022; Middlebrooks et al., 2017; Wandell & Yeatman, 2013).”
BackgroundStructural brain networks correlating with poststroke cognition
Brownsett, S. L. E., Carey, L. M., Copland, D. A., Walsh, A., & Sihvonen, A. J. (2024) · Human Brain Mapping · doi:10.1002/hbm.26665 · Cited by 9 · see citing works
“It connects perisylvian regions, and is largely asymmetrical, with the left being implicated in language processes (Janelle et al., 2022), and the right with executive tasks with visuospatial processing (De Schotten et al., 2011; Ribeiro et al., 2023).”
BackgroundMatsuhashi, K., Itahashi, T., Aoki, R., & Hashimoto, R. (2023) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2023.110827 · Cited by 10 · see citing works
“FC revealed cerebellum It is also agreed that the SLF-II shows strong u r n e - r o o leftward lateralization (Janelle et al., 2022; Wang et al., 2016), with the parietal origin extending into the supramarginal cortex only in the left hemisphere (Wang et al., 2016).”
BackgroundTaghvaei, M., Mechanic-Hamilton, D. J., Sadaghiani, S., Shakibajahromi, B., Dolui, S., Das, S. R., Brown, C. D., Tackett, W., Khandelwal, P., Cook, P. A., et al. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.10.012 · Cited by 11 · see citing works
Gunatilake, N., Boyes, A., Elwyn, R., Brunet, A., Hermens, D. F., & Driver, C. (2025) · Adolescent Research Review · doi:10.1007/s40894-025-00263-5 · Cited by 12 · see citing works
“These long-ranging tracts are involved in several vital cognitive, emotional and motor functions such visual integration, somatosensory processing, processing of language, social cognition and motor planning for complex movements (Hodgdon et al., 2022; Janelle et al., 2022).”
Gerritsen, J. K. W., Karschnia, P., Bello, L., Hervey‐Jumper, S. L., Young, J., Seidel, K., Satoer, D., Schnell, O., Parsons, M. W., Nahed, B. V., et al. (2025) · The Lancet Oncology · doi:10.1016/s1470-2045(25)00531-5 · Cited by 10 · see citing works
Mamah, D. T., Chen, S., Shimony, J. S., & Harms, M. P. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1240502 · Cited by 9 · see citing works
“The SLF is the largest associative fi ber bundle system in the brain, and connects the frontal, temporal, and parietal lobes within the same hemisphere (74, 75).”
Backgroundwang, X., Yi, Y., Wang, X., Xu, G., Tian, J., & Ma, X. (2024) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2024.105500 · Cited by 8 · see citing works
Lindberg, P. G., AmirShemiraniha, N., Krewer, C., et al. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1375152 · Cited by 8 · see citing works
“…in sensorimotor integration: the longitudinal superior fasciculus has been shown to be important for visuomotor integration during manual tasks (59, 60), and larger white matter lesions affecting sub-cortical structures (basal ganglia) have been shown to be detrimental to post-stroke dual-task…”
BackgroundUnderstanding vigilance and its decrement: theoretical, contextual, and neural insights
Hemmerich, K., Luna, F. G., Martín‐Arévalo, E., & Lupiáñez, J. (2025) · Frontiers in Cognition · doi:10.3389/fcogn.2025.1617561 · Cited by 11 · see citing works
Chylińska, M., Karaszewski, B., Komendziński, J., et al. (2023) · Neurological Sciences · doi:10.1007/s10072-023-06817-6 · Cited by 8 · see citing works
Wei, Y., Kung, Y., Lin, C., Chen, C., Lin, C., Tseng, R.-Y., Chen, Y.-L., Huang, W., Chen, P., Chong, S. T., et al. (2024) · Behavioral and Brain Functions · doi:10.1186/s12993-024-00238-x · Cited by 8 · see citing works
England-Mason, G., Reardon, A. J. F., Reynolds, J. E., Grohs, M. N., MacDonald, A. M., Kinniburgh, D. W., Martin, J. W., Lebel, C. A., & Dewey, D. (2024) · Environmental Research · doi:10.1016/j.envres.2024.120638 · Cited by 10 · see citing works
Driver, C., Boyes, A., Mohamed, A. Z., Levenstein, J. M., Parker, M. J., & Hermens, D. F. (2024) · Journal of Youth and Adolescence · doi:10.1007/s10964-024-01939-2 · Cited by 7 · see citing works
“The SLF is one of the largest association fi ber bundle systems, connecting frontal, temporal, and parietal areas ipsilaterally (Janelle et al., 2022), and is thought to be responsible for language function, motor planning (left hemisphere), and spatial orientation (mainly right hemisphere) (Janelle…”
BackgroundCai, J. C., Xie, M., Zhao, L., Li, X., Liang, S., Deng, W., Guo, W., Ma, X., Sham, P. C., Wang, Q., et al. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103482 · Cited by 7 · see citing works
Bell, T., Ansari, M., Joyce, J. M., et al. (2024) · American Journal of Neuroradiology · doi:10.3174/ajnr.a8454 · Cited by 7 · see citing works
Cheng, Y., Lin, L., Jiang, S., Pei-lin, H., Zhang, J., Xin, J., Xu, H., Wang, Y., & Pan, X. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14586 · Cited by 6 · see citing works
The trait-specific timing of accelerated genomic change in the human lineage
Kun, E., Sohail, M., & Narasimhan, V. M. (2025) · Cell Genomics · doi:10.1016/j.xgen.2024.100740 · Cited by 7 · see citing works
“61 In support of this finding, previous studies by Alagoz et al. and Tilot et al. also examined heritability enrichment of these same fetal and adult HGEPs in the brain and found significant heritability enrichment in HGEPs at 7 p.c.w. for the cortical surface area of the pars orbi-talis, a region…”
InfluentialXie, Z., Chen, Z., Jiang, Y., Yao, J., Zhang, P., Lei, H., & Tang, W. (2024) · Medicine · doi:10.1097/md.0000000000040090 · Cited by 6 · see citing works
“[38] Previous research has confirmed that the SLF is associated with the generation of motor hyperactivity.”
BackgroundLan, L., He, H., & Zhang, J. (2024) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2024.107921 · Cited by 5 · see citing works
Topographic Axes of Wiring Space Converge to Genetic Topography in Shaping the Human Cortical Layout
Li, D., Wang, Y., Ma, L., Wang, Y., Cheng, L., Liu, Y., Shi, W., Lu, Y., Wang, H., Gao, C., et al. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1510-24.2024 · Cited by 5 · see citing works
Derome, M., Amir, S., Sprüngli‐Toffel, E., Salaminios, G., Fonseca‐Pedrero, E., & Debbané, M. (2025) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad147 · Cited by 5 · see citing works
“38 Reinforcing our hypothesis, research has showed that FA in the slf predicted improvement of response to therapeutic interactions such as social skills training and cognitive remediation in schizophrenia patients.”
Functional and structural brain asymmetries in language processing
Trettenbrein, P. C., & Friederici, A. D. (2025) · Handbook of clinical neurology · doi:10.1016/b978-0-443-15646-5.00020-8 · Cited by 4 · see citing works
Thurston, L. T., Rodkong, A., Saokhieo, P., Supindham, T., Kaewthip, O., Wantanajittikul, K., Skorska, M. N., Lai, M., Chariyalertsak, S., Saekho, S., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70188 · Cited by 5 · see citing works
Basic knowledge on neuroanatomy and neurophysiology of the central nervous system
Konstantopoulos, K., & Giakoumettis, D. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-823875-2.00004-9 · Cited by 5 · see citing works
Unraveling the Thread of Aphasia Rehabilitation: A Translational Cognitive Perspective
Papageorgiou, G., Kasselimis, D. S., Laskaris, N., & Potagas, C. M. (2023) · Biomedicines · doi:10.3390/biomedicines11102856 · Cited by 5 · see citing works
“For example, the third branch of the superior longitudinal fasciculus which connects prefrontal, premotor and parietal areas (SLF III) is involved in phonological processing, but it is also assumed to control orofacial action, even in non-verbal tasks [13].”
BackgroundParlatini, V., Raduà, J., Naianna, R., Lintas, A., Atuk, E., Dell’Acqua, F., de Schotten, M. T., & Murphy, D. (2024) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-024-01927-4 · Cited by 5 · see citing works
van Velzen, L. S., Čolić, L., Ceja, Z., Dauvermann, M. R., Villa, L. M., Savage, H. S., Toenders, Y. J., Dehestani, N., Zhu, A. H., Campos, A. I., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03602-1 · Cited by 7 · see citing works
The neurobiology of motivational anhedonia in patients with depression
Breit, S., Denier, N., Mertse, N., Walther, S., Soravia, L. M., Federspiel, A., Wiest, R., & Bracht, T. (2025) · Brain Imaging and Behavior · doi:10.1007/s11682-025-00999-7 · Cited by 4 · see citing works
“Our results suggest a functional disturbance in a region that is in close proximity to the SLF, a pathway that is crucial for integrating information of distinct modalities and for goal directed behaviour (Janelle et al., 2022; Walther et al., 2012; Wang et al., 2016).”
Lim, S., Kim, H., Lee, Y., & Initiative, A. D. N. (2025) · PLoS ONE · doi:10.1371/journal.pone.0329893 · Cited by 4 · see citing works
Deferm, W., Tang, T., Moerkerke, M., Daniëls, N., Steyaert, J. G., Alaerts, K., Ortibus, E., Naulaers, G., & Boets, B. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103580 · Cited by 4 · see citing works
“…design and Figure puzzles) and verbal (VIQ; Similarities and Vocabulary) intelligence were collected for all participants at the moment of visit using an abbreviated version of the WISC-V (WISC-V-NL | Wechsler Intelligence Scale for Children-V, 2018) with the norms for Dutch-speaking children.”
MethodA multisite validation of brain white matter pathways of resilience to chronic back painPreprint
Mišić, M., Lee, N., Zidda, F., Sohn, K., Usai, K., Löffler, M., Uddin, M. N., Farooqi, A., Schifitto, G., Zhang, Z., et al. (2024) · eLife · doi:10.7554/elife.96312.3 · Cited by 7 · see citing works
Alves, R. L., Zortéa, M., Mayor, D. F., Watson, T., & Steffert, T. (2025) · Brain Sciences · doi:10.3390/brainsci15030270 · Cited by 5 · see citing works
“These functions were correlated with the connectivity patterns of the IPG that occur via the superior longitudinal fasciculus [77].”
Lavrador, J. P., García, V. E., Marchi, F., Rajwani, K., Kalyal, N., Perera, A. P., Prakashvel, S., Chowdhury, Y. A., Elhag, A., Ferrari, L. D., et al. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-02963-z · Cited by 4 · see citing works
“Sensory integration and motor planning occur via the previously described short association and long association fibers (Catani et al. 2017; Janelle et al. 2022).”
Chen, W., Xie, G., Xu, C., Zhang, C., & Liang, J. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120027 · Cited by 4 · see citing works
Lu, Y., Liu, Y., Zhou, X., Wu, H., Zhou, Y., Hu, L., Zhang, H., Long, Y., Pang, C., Xi, J., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251372953 · Cited by 4 · see citing works
“53 Due to the extensive reach of ATR, some researchers have proposed that its regulatory function may also be distributed across different subdivisions.”
Smullen, D., Bagshaw, A. P., Shalev, L., Tsafrir, S., Kolodny, T., & Mevorach, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-02326-y · Cited by 4 · see citing works
Ma, H., Xie, Z., Huang, L., Gao, Y., Zhan, L., Hu, S., Zhang, J., & Ding, Q. (2022) · Neural Plasticity · doi:10.1155/2022/1478048 · Cited by 5 · see citing works
“Anatomical studies have shown that the superior longitudinal fasciculus is the biggest associative fiber bundle system in the brain and is connected to the superior frontal gyrus and supplementary motor areas [82].”
BackgroundCoccaro, A., Bono, M. G. D., Maffei, A., Orefice, C., Lievore, R., Mammarella, I. C., & Mario Liotti, A. (2023) · Brain Sciences · doi:10.3390/brainsci13050731 · Cited by 4 · see citing works
Dewan, M. V., Jungilligens, J., Kobus, S., Diezel, M., Dathe, A.-K., Schweiger, B., Hüning, B. M., Felderhoff‐Müser, U., & Bruns, N. (2024) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2024.06.009 · Cited by 5 · see citing works
Asymmetries in the human brain
Dulyan, L., Bortolami, C., & Forkel, S. J. (2025) · Handbook of clinical neurology · doi:10.1016/b978-0-443-15646-5.00030-0 · Cited by 3 · see citing works
Podwalski, P., Dawidowski, B., Lipinski, K. A., Franczak, Ł., Wysocki, P., Jabłoński, M., Jędrzejewski, A., Plichta, P., Tyburski, E. M., Zwarzany, Ł., et al. (2025) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2025.111987 · Cited by 3 · see citing works
Structural and functional connectomic analysis of high-grade gliomas: A systematic review
Burrington, L. R., Smith, A. D., Lauinger, A. R., et al. (2025) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2025.111415 · Cited by 3 · see citing works
Chen, S. N., Yang, S., Li, J., et al. (2026) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2026.110615 · Cited by 3 · see citing works
Hsu, P.-S., Cheng, C.-M., Chao, H.-T., Lin, M.-W., Li, W.-C., Lee, L.-C., Liu, C.-H., Chen, L.-F., & Hsieh, J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1179851 · Cited by 5 · see citing works
Aljuhani, T., Coker‐Bolt, P., Katikaneni, L., Ramakrishnan, V., Brennan, A., George, M. S., Badran, B. W., & Jenkins, D. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1297325 · Cited by 4 · see citing works
Amandola, M., Farber, K., Kidambi, R., & Leung, H. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0821-24.2025 · Cited by 3 · see citing works
Baj, J., Forma, A., Karakuła, K. H., Flieger, W., Flieger, M., Kowalska, B., Kamińska, I., Majerek, D., Teresiński, G., Maciejewski, R., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-03283-2 · Cited by 3 · see citing works
“The SLF, in turn, is part of the system of longitudinal association fibres connecting the frontal and parietal lobes, with a clear asymmetry between the two hemispheres 127 .”
Kawata, N. Y. S., Fujisawa, T. X., Makita, K., Yao, A., Okazawa, H., & Tomoda, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-13363-y · Cited by 3 · see citing works
“The SLF is a major WM tract that connects the frontal and parietal regions of the brain, playing a crucial role in cognitive functions such as attention, language, and executive functions 28 .”
Right hemisphere and metaphor comprehension: A connectionist perspective
Duque, A. C. M., Cuesta, T. A. C., Melo, A. D. S., & Maldonado, I. L. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108618 · Cited by 3 · see citing works
Wu, Y.-Y., Chen, K., Chu, Y.-C., et al. (2023) · Journal of Neuro-Oncology · doi:10.1007/s11060-023-04431-2 · Cited by 3 · see citing works
Zhang, W., Gorelik, A. J., Wang, Q., Norton, S. A., Hershey, T. G., Arpana Agrawal, A., Bijsterbosch, J. D., & Bogdan, R. (2023) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2023.100722 · Cited by 3 · see citing works
Naveed, K., Rashidi‐Ranjbar, N., Kumar, S., Zomorrodi, R., Blumberger, D. M., Fischer, C. E., Sanches, M., Mulsant, B. H., Pollock, B. G., Voineskos, A. N., et al. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0233 · Cited by 2 · see citing works
Lehman, C., & Peebles, R. S. (2025) · doi:10.37349/eaa.2025.100967 · Cited by 2 · see citing works
“…an extensive fiber bundle system, acting as a communication bridge linking regions involved in language, spatial awareness, and cognitive control [52]; corticospinal tract which is a major neural pathway responsible for facilitating voluntary movement [53]; the corona radiata serves as an…”
Nitto, K., Abe, H., Hashimoto, Y., et al. (2025) · Journal of Rehabilitation Medicine · doi:10.2340/jrm.v57.42782 · Cited by 2 · see citing works
“The SLF is an associated fibre tract between the frontal lobe and the ipsilateral parietal and temporal regions (31), playing a crucial role in motor control, including information transmission for motor planning and integration of visuomotor information (32).”
Beucler, N., Sellier, A., Almairac, F., et al. (2025) · Neurosurgical Review · doi:10.1007/s10143-025-03827-0 · Cited by 2 · see citing works
MRI ‐ DTI Biomarkers Along the Continuum of Behavioral Variant Frontotemporal Dementia
Michelutti, M., Huppertz, H., Anderl‐Straub, S., Volkmann, H., Urso, D., Tafuri, B., Nigro, S. L., Manganotti, P., Rosenbohm, A., Ludolph, A. C., et al. (2025) · European Journal of Neurology · doi:10.1111/ene.70438 · Cited by 2 · see citing works
“…linking frontal and temporal cortices with limbic hubs [53], while showing relatively milder changes in the SLF (trend-level significance in the bvFTD group; nonsignificant for the ALS-FTD group) as a tract that connects anterior regions with more posterior parietal and occipital cortices [54].”
The white matter of Aha! moments
Salvi, C., Luchini, S. A., Pestilli, F., Hanekamp, S., Hope, T., Parrish, T. B., Beeman, M., & Grafman, J. H. (2026) · BMC Psychology · doi:10.1186/s40359-025-03593-0 · Cited by 2 · see citing works
“Notably, the left SLF III supports speech processing, whereas the right SLF III facilitates visuospatial functions [110].”
Diaz‐Fong, J. P., McGough, J. J., McCracken, J. T., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-40086-5 · Cited by 2 · see citing works
Podwalski, P., Dawidowski, B., Lipinski, K. A., Franczak, Ł., Wysocki, P., Jabłoński, M., Wietrzyński, K., Plichta, P., Tyburski, E. M., Zwarzany, Ł., et al. (2026) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2026.107816 · Cited by 2 · see citing works
Preuilh, A., Lackmy‐Vallée, A., Béranger, B., et al. (2026) · Clinical Neurophysiology · doi:10.1016/j.clinph.2026.2111864 · Cited by 2 · see citing works
Ravestyn, C. V., Riga, A., Bihin, B., Dricot, L., Dessain, Q., Delinte, N., Devis, L., Herman, B., Coene, B. D., Deltombe, T., et al. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.04.018 · Cited by 2 · see citing works
Saito, J., Katagiri, N., Tagata, H., et al. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14030228 · Cited by 2 · see citing works
“The SLF III is suggested to play a role in speech in the left hemisphere and in spatial recognition in the right hemisphere [7].”
BackgroundXu, X., Song, X., Lin, L., Pan, N., Jin, Y., Tan, S., Cao, M., Chen, Y., Zhao, J., Su, X., et al. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.111083 · Cited by 2 · see citing works
Chen, W., Deng, S., Li, H., et al. (2025) · International Journal of General Medicine · doi:10.2147/ijgm.s499346 · Cited by 2 · see citing works
“40 SLF.”
Tilwani, D., O’Reilly, C., Riccardi, N., Shalin, V. L., den Ouden, D., Shinkareva, S. V., Fridriksson, J., Sheth, A., & Desai, R. H. (2025) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2025.1573816 · Cited by 3 · see citing works
Ikemizu, Y., Isobe, Y., Sudo, Y., Ota, J., Chhatkuli, R. B., Sasaki, T., Kurita, K., Yoshida, T., Matsumoto, K., Kuno, M., et al. (2025) · Neuroimage Reports · doi:10.1016/j.ynirp.2025.100275 · Cited by 3 · see citing works
“It plays a key role in visual attention and spatial orientation by integrating perceptual input with executive control (Janelle et al., 2022).”
Associations between negative symptoms and thermal pain perception in bipolar I disorder
Vrolix, L., Legarreta, J. H., van der Heijden, H. C., van Gool, R., Ray, A., Golden, E., Cay, M., Yogesh Rathi, A., Gonzalez–Heydrich, J., O’Donnell, L. J., et al. (2025) · International Journal of Bipolar Disorders · doi:10.1186/s40345-025-00403-9 · Cited by 2 · see citing works
Taçyıldız, A. E., Barut, O., Üçer, M., et al. (2024) · World Neurosurgery · doi:10.1016/j.wneu.2024.03.038 · Cited by 2 · see citing works
Hartnett, P., Zomorodi, N., Goodkin, H. P., et al. (2024) · Epilepsia Open · doi:10.1002/epi4.13000 · Cited by 2 · see citing works
“…lobe, likely facilitated through the superior longitudinal fasciculus, the largest associative fiber bundle connecting superior parietal lobule to frontal lobe, 9,10 which was consistent with findings of VBM and other presurgical modalities including PET scan and MEG, and phase II evaluation.”
ResultLanguage Environment and Infants' Brain Structure
Lawton, W., Araujo, O., & Kufaishi, Y. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0787-23.2023 · Cited by 1 · see citing works
Yang, A., Yang, Y., & Zhao, X. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1011112 · Cited by 1 · see citing works
Kaltsouni, E., Gu, X., Wikström, J., Hahn, A., Lanzenberger, R. R., Poromaa, I. S., & Comasco, E. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.111179 · Cited by 1 · see citing works
“…differences between treatment groups were identified in the superior longitudinal fasciculus, involved in attentional and somatosensory processes (Janelle et al., 2022), and the inferior fronto-occipital fasciculus, crucial for goal-oriented processing and visual recognition (Conner et al.,…”
BackgroundKrammer, W., Missimer, J. H., Vallesi, V., Pastore‐Wapp, M., Kägi, G., Wiest, R., & Weder, B. (2025) · Scientific Reports · doi:10.1038/s41598-025-86157-x · Cited by 1 · see citing works
Right-Hemispheric White Matter Organization Is Associated With Speech Timing in Autistic Children
Davison, K. E., Liu, T., Belisle, R. M., Perrachione, T. K., Qi, Z., Gabrieli, J. D. E., Tager-Flusberg, H. B., & Zuk, J. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-24-00548 · Cited by 1 · see citing works
“As part of this stream, the SLF plays a prominent role in mapping phonemic representations to motor representations important for speech (Hickok & Poeppel, 2007; Janelle et al., 2022).”
White Matter Correlates of Psychopathic Traits in a Japanese Community Sample: Sex Matters!
Chester, S. C., Rogers, J. C., Ogawa, T., Terao, M., Nakai, R., Abe, N., & Brito, S. A. D. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70177 · Cited by 1 · see citing works
Sun, Q., Fan, W., Liu, Y., Kou, Z., & Han, P. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1600100 · Cited by 1 · see citing works
“It is a part of the longitudinal association fiber system, which lays connections between the frontal lobe and other areas, such as temporal and parietal (Ayy ı ld ı z et al., 2023; Janelle et al., 2022).”
Jung, J., Rajwani, K., Mirallave-Pescador, A., et al. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.2110995 · Cited by 1 · see citing works
- Authors
- Janelle, F., Iorio-Morin, C., D'amour, S., & Fortin, D.
- Affiliations
- Université de Sherbrooke (CA)
- Corresponding author
- Fortin, David
- ORCID
- Fortin, David
- Venue
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Published
- 2022-04-27
- Volume
- 13
- Pages
- 794618-794618
- ISSN
- 1664-2295 (ISSN-L)
- PMC
- PMC9093186
- OpenAlex
- W4224927688
- Semantic Scholar
- 24b650219ef5424d102e7ef0e0af039754115939
- Cited by
- 189
- References
- 81
- Citations by year
- 2026: 57 · 2025: 61 · 2024: 45 · 2023: 25 · 2022: 1
- FWCI
- 16.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neurology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Anatomy › Medical and Biological Sciences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- superior longitudinal fasciculus, arcuate fasciculus, frontal lobe, anatomical landmarks, hemispheric lateralization, interindividual variability, diffusion MRI, postmortem dissection, functional correlates, white matter tracts, nomenclature
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-18.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-18.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review