highly significantP < 0.0001
However, the overall regression model was highly significant ( P < 0.0001), indicating that disease classification is a key determinant of PET signal variability.
However, the overall regression model was highly significant ( P < 0.0001), indicating that disease classification is a key determinant of PET signal variability.
However, there was a strong tendency toward significance in the temporal lobe ( P < 0.0567) and occipital lobe ( P < 0.0870), though statistical significance was not reached.
56 – 58 Although the mBNT did not reach statistical significance, trends in the temporal and occipital lobes suggest a possible association between naming impairments and regional neuroinflammation, warranting further investigation. 59 In line with prior studies demonstrating that glucose hypometabolism, amyloid deposition, and reduced gray matter volume contrib