Evidence map›Paper›PMID 41795629›Full record

ArticleHuman brain mapping2026

Brain Folding Trajectories in Amyotrophic Lateral Sclerosis.

Mahan Shafie, Carlo Tamba, Harpreet Bhinder, Canadian ALS Neuroimaging Consortium (CALSNIC), Sanjay Kalra, Fabrizio Pizzagalli

Abstract read
In one paragraph

Article in Human brain mapping, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mahan ShafieDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0001-6961-0374
Carlo TambaDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Harpreet BhinderDivision of Neurology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Canadian ALS Neuroimaging Consortium (CALSNIC)
Sanjay KalraDivision of Neurology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Fabrizio PizzagalliDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0003-4582-0224

Funding

ALS Society of CanadaBrain Canada FoundationCIHR MOP-123534Italian Ministry of University and Research (MUR), PRIN 2022 202292PHR2Shelly Mrkonjic ALS Research Fund
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a clinically heterogeneous neurodegenerative disease, and neuroimaging markers offer a promising avenue to capture this variability. Cortical folding alterations in ALS remain largely unexplored despite growing interest in neuroimaging markers of the disease. This study is the first whole-brain investigation of sulcal morphometry in ALS. A total of 222 individuals diagnosed with ALS and 194 healthy controls (HC) were recruited through the Canadian ALS Neuroimaging Consortium (CALSNIC) for a longitudinal investigation. Using T1-weighted MRI processed with FreeSurfer and BrainVISA, we extracted cortical thickness and four sulcal features: width, mean depth, surface area, and length, across 123 sulci. We identified widespread alterations in ALS, with 19 sulci showing increased width and length alongside reduced depth and surface area, primarily in frontal and parietal regions surrounding the motor strip. The central sulcus (CS) emerged as the most consistently affected region, displaying bilateral widening and reduced depth, changes that closely tracked motor decline. Longitudinal analyses revealed progressive widening and reduced depth and surface area of the CS. These alterations closely tracked the progression of motor symptoms over the course of the disease and aligned with regional cortical thickness alterations. Our findings demonstrate that brain folding patterns, and in particular CS, are altered in ALS and correlate with clinical progression, resembling the neurodegenerative pattern of the disease. By revealing complementary and sensitive changes, sulcal-based metrics may offer promising neuroimaging biomarkers for early detection, prognosis, and patient stratification in ALS.

Indexed as

Amyotrophic Lateral SclerosisBrainCerebral CortexAdultAgedDisease ProgressionFemaleHumansImage Processing, Computer-AssistedLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle Agedamyotrophic lateral sclerosisbrain foldingsulcal morphometry

Identifiers

PMID41795629
PMCPMC12967655

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.