Wednesday, October 21, 2026
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Medicine

SMA tumors linked to preoperative brain-network changes in small MRI study

October 21, 2026
in Medicine, Science News
Colin Clarke
By Colin Clarke Scienmag Editorial Profile - Neuroimaging
Reading Time: 5 mins read
0
SMA tumors linked to preoperative brain-network changes in small MRI study

SMA tumors linked to preoperative brain-network changes in small MRI study

65
SHARES
587
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

An exploratory MRI study of 13 people with brain tumors involving the supplementary motor area found structural and functional network differences before surgery. Diffusion-tensor imaging showed signs of white-matter disruption in pathways associated with the tumor, while resting-state functional MRI revealed both reduced and increased coupling across sensorimotor and cognitive networks. Because the cohort was small, heterogeneous and lacked systematic neuropsychological testing, the findings cannot show that the imaging changes caused specific cognitive or motor impairments or reliably predict recovery after tumor removal.

The supplementary motor area, or SMA, participates in initiating voluntary movement and has connections with regions involved in language and cognitive control. Patients whose tumors involve this area may develop “SMA syndrome” after surgery, a condition that can include temporary inability to move the opposite side of the body and, when the dominant hemisphere is affected, mutism or expressive speech impairment. Symptoms commonly improve over subsequent months, although motor recovery can remain incomplete. Researchers at RWTH Aachen University investigated whether abnormalities in brain connectivity were already present before treatment, when most patients in this study retained substantial motor and speech function.

The investigators compared 13 SMA-tumor patients with 13 age-matched healthy controls. The participants underwent preoperative diffusion-tensor imaging and resting-state functional MRI on a 3 Tesla scanner. The patient group had a mean age of 49 years and included several tumor types, including gliomas, metastases and a meningioma. Only two patients had minor motor deficits and one had minor speech impairment before surgery. For group-level analyses, images from patients with right-sided tumors were flipped so that lesioned and contralesional hemispheres could be compared consistently, with an equivalent number of control images also flipped.

Structural analysis focused on the frontal aslant tract, which connects the SMA with the ipsilateral inferior frontal gyrus, and on transcallosal pathways linking the two SMAs and each SMA with primary motor cortex in the opposite hemisphere. In the frontal aslant tract, patients showed higher mean diffusivity and axial diffusivity on the tumor side than on the contralateral side, a pattern interpreted by the researchers as microstructural disintegration. The lateralization effect for fractional anisotropy was close to the significance threshold, while radial diffusivity showed a similar trend. These differences suggest that structural changes around the tumor may extend beyond the lesion’s macroscopically visible boundaries.

Connections between the ipsilesional SMA and the contralesional primary motor cortex also appeared altered. Their normalized tract volumes were significantly lower in patients than in controls, with a reported group p-value of 0.005, independent of hemisphere. Fiber length differed between hemispheres in patients: the contralesional SMA-to-ipsilesional motor-cortex pathway was longer than the pathway running in the opposite direction, whereas no comparable difference was detected in controls. Axial diffusivity also differed between groups, while mean diffusivity and radial diffusivity were reported as trends. Together, these observations point to disruption and asymmetry in an interhemispheric motor pathway before surgery, although individual diffusion measures do not directly establish how the pathways would function after resection.

Structural connectivity between the homologous left and right SMAs did not show the same pattern. Tract volume was not significantly reduced in the patient group, and some patients appeared to have more normalized SMA-to-SMA fibers than controls, but the wider variation prevented a significant group difference. In an exploratory post hoc comparison, patients without residual motor deficits at follow-up tended to have greater SMA-to-SMA tract volume than those with incomplete motor recovery; the difference was not statistically significant. The result cannot establish that larger or better-preserved SMA-to-SMA connections caused better recovery. It instead identifies a possible anatomical feature for evaluation in adequately powered, longitudinal studies.

Resting-state functional MRI produced a mixed pattern across large-scale networks. Group independent-component analysis identified 40 network components, of which 14 represented the sensorimotor, default mode, frontoparietal, salience or attention networks and were selected for region-to-region comparisons. Patients had reduced coupling between the lateral default mode and frontomedian networks, between dorsal-attention and salience components, and between the ipsilesional frontoparietal network and the anterior default mode network. These were associations in preoperative imaging data. Because the researchers did not administer systematic neuropsychological tests, they could not determine whether the lower coupling corresponded to measurable weaknesses in attention, executive function, language or another cognitive process.

Other connections were stronger in the patient group. Coupling increased between the anterior and lateral default mode networks, between the anterior default mode and lateral sensorimotor components, and between medial and lateral sensorimotor components. Connectivity also increased between the frontomedian network, which included the SMA, and the contralesional frontoparietal network. The three clusters showing group differences met a false-discovery-rate-corrected significance threshold of p < 0.046. The authors described the combination of structural disruption, decreased coupling in some networks and increased coupling in others as potentially compatible with both disintegration and reorganization. The MRI observations alone cannot determine whether stronger functional coupling was beneficial compensation, pathological hyperactivity, functional disinhibition, a direct tumor-neural effect or altered neurovascular coupling.

Postoperative records illustrated the clinical course but did not establish prognostic value for individual imaging measurements. Eleven of the 13 patients, or 85%, developed SMA syndrome soon after surgery, with contralateral akinesia; five of eight patients with left-hemispheric tumors also had speech deficits. At a median follow-up of 133 days, motor deficits had improved in nine patients and speech deficits had resolved in all affected patients. Nevertheless, six of the 12 patients with evaluable follow-up data had incomplete motor recovery. The cohort was too small and clinically heterogeneous to determine reliably whether particular baseline connectivity patterns predicted postoperative motor or speech outcomes. Tumor growth behavior, infiltration, other clinical characteristics and antiseizure medication were not fully accounted for in the retrospective analysis.

Technical limitations also constrain interpretation. Deterministic tractography can terminate prematurely or steer fibers incorrectly in regions with crossing pathways, substantial edema, severe tumor distortion or degraded signal, and inter-rater reliability was not assessed. Diffusion acquisition parameters varied for some participants following a scanner software upgrade. Phantom tests indicated stable or improved scanner performance, and identical processing pipelines were used across groups, but protocol-related effects could not be completely separated from patient-group effects. Several exploratory interaction findings did not remain significant after correction for multiple comparisons. The study also did not distinguish the SMA proper from pre-SMA because tumor growth can alter the normal cytoarchitecture that defines their boundaries.

The study therefore offers preliminary evidence that structural and functional connectivity abnormalities can be detected before surgery in people with SMA-region tumors. It does not establish that those abnormalities cause SMA syndrome, reflect specific cognitive deficits or can be used to guide treatment or predict an individual patient’s recovery. Larger, preferably multicenter cohorts with more uniform tumor types, standardized longitudinal imaging and formal neuropsychological assessment are needed. Such follow-up would test whether increased functional coupling before surgery represents helpful compensation or maladaptive reorganization, and whether baseline “connectome” measures can eventually contribute to individualized counseling and postoperative outcome prediction.

Subject of Research: Preoperative structural and functional brain connectivity in patients with supplementary motor area tumors

Article Title: Tumor lesions in the supplementary motor area may induce large-scale sensorimotor and cognitive network alterations— A functional and structural connectivity analysis

Article References: Na, C.-H., Sijben, R., Posnansky, O., Wiesmann, M., Clusmann, H., Delev, D., & Rodriguez-Raecke, R. (2026). Tumor lesions in the supplementary motor area may induce large-scale sensorimotor and cognitive network alterations— A functional and structural connectivity analysis. Frontiers in Neurology, 17, Article 1878278. https://doi.org/10.3389/fneur.2026.1878278

Image Credits: AI Generated

DOI: 10.3389/fneur.2026.1878278

Keywords: supplementary motor area, brain tumors, structural connectivity, functional connectivity, diffusion tensor imaging, resting-state fMRI, SMA syndrome, motor recovery, cognitive networks, Tumor, lesions, supplementary

Cite Scienmag News

Colin Clarke. (October 21, 2026). SMA tumors linked to preoperative brain-network changes in small MRI study. Scienmag. https://scienmag.com/sma-tumors-linked-to-preoperative-brain-network-changes-in-small-mri-study/

Colin Clarke. "SMA tumors linked to preoperative brain-network changes in small MRI study." Scienmag, 21 October 2026, https://scienmag.com/sma-tumors-linked-to-preoperative-brain-network-changes-in-small-mri-study/. Accessed 21 October 2026.

Colin Clarke. "SMA tumors linked to preoperative brain-network changes in small MRI study." Scienmag. October 21, 2026. https://scienmag.com/sma-tumors-linked-to-preoperative-brain-network-changes-in-small-mri-study/

Tags: brain network alterationsbrain network plasticity after tumor removalbrain tumorscognitive network alterations in brain tumor patientscognitive networksdiffusion tensor imagingfunctional connectivitylesionsmotor recoveryMRI biomarkers for motor and speech impairmentneuroimaging predictors of recovery post-brain surgerypreoperative MRI brain connectivityresting-state fMRIresting-state functional MRI in tumor patientssensorimotor network changesSMA syndromeSMA syndrome and post-surgical outcomessmall cohort neuroimaging studiesstructural connectivitySupplementarysupplementary motor areasupplementary motor area tumorstumorwhite matter disruption in brain tumors
Share26Tweet16
Previous Post

Review proposes explicit-intent framework for embodied AI

Next Post

The asymptotic distribution of the likelihood ratio test statistic in two-peak discovery experiments

Related Posts

Dynamic model captures salt-driven flashover on polluted insulators
Technology and Engineering

Dynamic model captures salt-driven flashover on polluted insulators

October 21, 2026
The asymptotic distribution of the likelihood ratio test statistic in two-peak discovery experiments
Space

The asymptotic distribution of the likelihood ratio test statistic in two-peak discovery experiments

October 21, 2026
Review proposes explicit-intent framework for embodied AI
Technology and Engineering

Review proposes explicit-intent framework for embodied AI

October 21, 2026
Embedded enzymes accelerate polyester degradation in the deep sea
Medicine

Embedded enzymes accelerate polyester degradation in the deep sea

October 21, 2026
Patient-derived CRC-X1 cell line supports colon cancer liver-metastasis research
Cancer

Patient-derived CRC-X1 cell line supports colon cancer liver-metastasis research

October 21, 2026
Few-shot adaptation improves minority-label Bangla hate speech detection
Technology and Engineering

Few-shot adaptation improves minority-label Bangla hate speech detection

October 21, 2026
Next Post
The asymptotic distribution of the likelihood ratio test statistic in two-peak discovery experiments

The asymptotic distribution of the likelihood ratio test statistic in two-peak discovery experiments

  • Mothers who receive childcare support from maternal grandparents show more optimized

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27656 shares
    Share 11059 Tweet 6912
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    1061 shares
    Share 424 Tweet 265
  • Bee body mass, pathogens and local climate influence heat tolerance

    682 shares
    Share 273 Tweet 171
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    546 shares
    Share 218 Tweet 137
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    531 shares
    Share 212 Tweet 133
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • Dynamic model captures salt-driven flashover on polluted insulators
  • The asymptotic distribution of the likelihood ratio test statistic in two-peak discovery experiments
  • SMA tumors linked to preoperative brain-network changes in small MRI study
  • Review proposes explicit-intent framework for embodied AI

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Biotechnology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Editorial Policy
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Science News
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,151 other subscribers

© 2025 Scienmag - Science Magazine

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading